From 7f2f9b7928a8dc8793616f54db3fb2a83f85d82f Mon Sep 17 00:00:00 2001 From: Patrick Rachford <64233065+rachfop@users.noreply.github.com> Date: Tue, 16 Aug 2022 12:21:37 -0700 Subject: [PATCH 01/84] Adds SnipSync for Python's Activity Retry (#11) --- hello/hello_activity_retry.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/hello/hello_activity_retry.py b/hello/hello_activity_retry.py index 2279c264..233f9613 100644 --- a/hello/hello_activity_retry.py +++ b/hello/hello_activity_retry.py @@ -32,12 +32,14 @@ async def run(self, name: str) -> str: # for an unlimited amount of time and an unlimited number of attempts. # We'll keep those defaults except we'll set the maximum interval to # just 2 seconds. + # @@@SNIPSTART python-activity-retry return await workflow.execute_activity( compose_greeting, ComposeGreetingInput("Hello", name), start_to_close_timeout=timedelta(seconds=10), retry_policy=RetryPolicy(maximum_interval=timedelta(seconds=2)), ) + # @@@SNIPEND async def main(): From ac44173063e14aaf5e2fd3eca9caf9197f4d6dd5 Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Wed, 7 Sep 2022 17:05:59 -0500 Subject: [PATCH 02/84] Encryption sample (#16) Fixes #5 --- README.md | 7 +- encryption/README.md | 54 +++ encryption/codec.py | 56 +++ encryption/codec_server.py | 52 +++ encryption/starter.py | 32 ++ encryption/worker.py | 50 +++ poetry.lock | 848 ++++++++++++++++++++++++++++++++++--- pyproject.toml | 11 + 8 files changed, 1042 insertions(+), 68 deletions(-) create mode 100644 encryption/README.md create mode 100644 encryption/codec.py create mode 100644 encryption/codec_server.py create mode 100644 encryption/starter.py create mode 100644 encryption/worker.py diff --git a/README.md b/README.md index 4d303272..979816a7 100644 --- a/README.md +++ b/README.md @@ -16,13 +16,13 @@ Prerequisites: With this repository cloned, run the following at the root of the directory: - poetry install --no-root + poetry install -That loads all dependencies. Then to run a sample, usually you just run it in Python. For example: +That loads all required dependencies. Then to run a sample, usually you just run it in Python. For example: poetry run python hello/hello_activity.py -See each sample's directory for specific instructions. +Some examples require extra dependencies. See each sample's directory for specific instructions. ## Samples @@ -53,3 +53,4 @@ See each sample's directory for specific instructions. while running. * [hello_signal](hello/hello_signal.py) - Send signals to a workflow. * [activity_worker](activity_worker) - Use Python activities from a workflow in another language. +* [encryption](encryption) - Apply end-to-end encryption for all input/output. diff --git a/encryption/README.md b/encryption/README.md new file mode 100644 index 00000000..1675f027 --- /dev/null +++ b/encryption/README.md @@ -0,0 +1,54 @@ +# Encryption Sample + +This sample shows how to make an encryption codec for end-to-end encryption. It is built to work with the encryption +samples [in TypeScript](https://github.com/temporalio/samples-typescript/tree/main/encryption) and +[in Go](https://github.com/temporalio/samples-go/tree/main/encryption). + +For this sample, the optional `encryption` dependency group must be included. To include, run: + + poetry install --with encryption + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the +worker: + + poetry run python worker.py + +This will start the worker. Then, in another terminal, run the following to execute the workflow: + + poetry run python starter.py + +The workflow should complete with the hello result. To view the workflow, use [tctl](https://docs.temporal.io/tctl/): + + tctl workflow show --workflow_id encryption-workflow-id + +Note how the input/result look like (with wrapping removed): + +``` + Input:[encoding binary/encrypted: payload encoding is not supported] + ... + Result:[encoding binary/encrypted: payload encoding is not supported] +``` + +This is because the data is encrypted and not visible. To make data visible to external Temporal tools like `tctl` and +the UI, start a codec server in another terminal: + + poetry run python codec_server.py + +Now with that running, run `tctl` again with the codec endpoint: + + tctl --codec_endpoint http://localhost:8081 workflow show --workflow_id encryption-workflow-id + +Notice now the output has the unencrypted values: + +``` + Input:["Temporal"] + ... + Result:["Hello, Temporal"] +``` + +This decryption did not leave the local machine here. + +Same case with the web UI. If you go to the web UI, you'll only see encrypted input/results. But, assuming your web UI +is at `http://localhost:8080`, if you set the "Remote Codec Endpoint" in the web UI to `http://localhost:8081` you can +then see the unencrypted results. This is possible because CORS settings in the codec server allow the browser to access +the codec server directly over localhost. They can be changed to suit Temporal cloud web UI instead if necessary. \ No newline at end of file diff --git a/encryption/codec.py b/encryption/codec.py new file mode 100644 index 00000000..94e69dfd --- /dev/null +++ b/encryption/codec.py @@ -0,0 +1,56 @@ +import base64 +import os +from typing import Iterable, List + +from cryptography.hazmat.primitives.ciphers.aead import AESGCM +from temporalio.api.common.v1 import Payload +from temporalio.converter import PayloadCodec + +default_key = base64.b64decode(b"MkUb3RVdHQuOTedqETZW7ra2GkZqpBRmYWRACUospMc=") +default_key_id = "my-key" + + +class EncryptionCodec(PayloadCodec): + def __init__(self, key_id: str = default_key_id, key: bytes = default_key) -> None: + super().__init__() + self.key_id = key_id + # We are using direct AESGCM to be compatible with samples from + # TypeScript and Go. Pure Python samples may prefer the higher-level, + # safer APIs. + self.encryptor = AESGCM(key) + + async def encode(self, payloads: Iterable[Payload]) -> List[Payload]: + # We blindly encode all payloads with the key and set the metadata + # saying which key we used + return [ + Payload( + metadata={ + "encoding": b"binary/encrypted", + "encryption-key-id": self.key_id.encode(), + }, + data=self.encrypt(p.SerializeToString()), + ) + for p in payloads + ] + + async def decode(self, payloads: Iterable[Payload]) -> List[Payload]: + ret: List[Payload] = [] + for p in payloads: + # Ignore ones w/out our expected encoding + if p.metadata.get("encoding", b"").decode() != "binary/encrypted": + ret.append(p) + continue + # Confirm our key ID is the same + key_id = p.metadata.get("encryption-key-id", b"").decode() + if key_id != self.key_id: + raise ValueError(f"Unrecognized key ID {key_id}") + # Decrypt and append + ret.append(Payload.FromString(self.decrypt(p.data))) + return ret + + def encrypt(self, data: bytes) -> bytes: + nonce = os.urandom(12) + return nonce + self.encryptor.encrypt(nonce, data, None) + + def decrypt(self, data: bytes) -> bytes: + return self.encryptor.decrypt(data[:12], data[12:], None) diff --git a/encryption/codec_server.py b/encryption/codec_server.py new file mode 100644 index 00000000..4bd04214 --- /dev/null +++ b/encryption/codec_server.py @@ -0,0 +1,52 @@ +from functools import partial +from typing import Awaitable, Callable, Iterable, List + +from aiohttp import hdrs, web +from google.protobuf import json_format +from temporalio.api.common.v1 import Payload, Payloads + +from encryption.codec import EncryptionCodec + + +def build_codec_server() -> web.Application: + # Cors handler + async def cors_options(req: web.Request) -> web.Response: + resp = web.Response() + if req.headers.get(hdrs.ORIGIN) == "http://localhost:8080": + resp.headers[hdrs.ACCESS_CONTROL_ALLOW_ORIGIN] = "http://localhost:8080" + resp.headers[hdrs.ACCESS_CONTROL_ALLOW_METHODS] = "POST" + resp.headers[hdrs.ACCESS_CONTROL_ALLOW_HEADERS] = "content-type,x-namespace" + return resp + + # General purpose payloads-to-payloads + async def apply( + fn: Callable[[Iterable[Payload]], Awaitable[List[Payload]]], req: web.Request + ) -> web.Response: + # Read payloads as JSON + assert req.content_type == "application/json" + payloads = json_format.Parse(await req.read(), Payloads()) + + # Apply + payloads = Payloads(payloads=await fn(payloads.payloads)) + + # Apply CORS and return JSON + resp = await cors_options(req) + resp.content_type = "application/json" + resp.text = json_format.MessageToJson(payloads) + return resp + + # Build app + codec = EncryptionCodec() + app = web.Application() + app.add_routes( + [ + web.post("/encode", partial(apply, codec.encode)), + web.post("/decode", partial(apply, codec.decode)), + web.options("/decode", cors_options), + ] + ) + return app + + +if __name__ == "__main__": + web.run_app(build_codec_server(), host="127.0.0.1", port=8081) diff --git a/encryption/starter.py b/encryption/starter.py new file mode 100644 index 00000000..4c39f553 --- /dev/null +++ b/encryption/starter.py @@ -0,0 +1,32 @@ +import asyncio +import dataclasses + +import temporalio.converter +from temporalio.client import Client + +from encryption.codec import EncryptionCodec +from encryption.worker import GreetingWorkflow + + +async def main(): + # Connect client + client = await Client.connect( + "localhost:7233", + # Use the default converter, but change the codec + data_converter=dataclasses.replace( + temporalio.converter.default(), payload_codec=EncryptionCodec() + ), + ) + + # Run workflow + result = await client.execute_workflow( + GreetingWorkflow.run, + "Temporal", + id=f"encryption-workflow-id", + task_queue="encryption-task-queue", + ) + print(f"Workflow result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/encryption/worker.py b/encryption/worker.py new file mode 100644 index 00000000..2c410ab7 --- /dev/null +++ b/encryption/worker.py @@ -0,0 +1,50 @@ +import asyncio +import dataclasses + +import temporalio.converter +from temporalio import workflow +from temporalio.client import Client +from temporalio.worker import Worker + +from encryption.codec import EncryptionCodec + + +@workflow.defn +class GreetingWorkflow: + @workflow.run + async def run(self, name: str) -> str: + return f"Hello, {name}" + + +interrupt_event = asyncio.Event() + + +async def main(): + # Connect client + client = await Client.connect( + "localhost:7233", + # Use the default converter, but change the codec + data_converter=dataclasses.replace( + temporalio.converter.default(), payload_codec=EncryptionCodec() + ), + ) + + # Run a worker for the workflow + async with Worker( + client, + task_queue="encryption-task-queue", + workflows=[GreetingWorkflow], + ): + # Wait until interrupted + print("Worker started, ctrl+c to exit") + await interrupt_event.wait() + print("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/poetry.lock b/poetry.lock index 36046720..05882e06 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,28 +1,72 @@ [[package]] -name = "atomicwrites" -version = "1.4.0" -description = "Atomic file writes." +name = "aiohttp" +version = "3.8.1" +description = "Async http client/server framework (asyncio)" category = "dev" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +python-versions = ">=3.6" + +[package.dependencies] +aiosignal = ">=1.1.2" +async-timeout = ">=4.0.0a3,<5.0" +asynctest = {version = "0.13.0", markers = "python_version < \"3.8\""} +attrs = ">=17.3.0" +charset-normalizer = ">=2.0,<3.0" +frozenlist = ">=1.1.1" +multidict = ">=4.5,<7.0" +typing-extensions = {version = ">=3.7.4", markers = "python_version < \"3.8\""} +yarl = ">=1.0,<2.0" + +[package.extras] +speedups = ["Brotli", "aiodns", "cchardet"] + +[[package]] +name = "aiosignal" +version = "1.2.0" +description = "aiosignal: a list of registered asynchronous callbacks" +category = "dev" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +frozenlist = ">=1.1.0" + +[[package]] +name = "async-timeout" +version = "4.0.2" +description = "Timeout context manager for asyncio programs" +category = "dev" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +typing-extensions = {version = ">=3.6.5", markers = "python_version < \"3.8\""} + +[[package]] +name = "asynctest" +version = "0.13.0" +description = "Enhance the standard unittest package with features for testing asyncio libraries" +category = "dev" +optional = false +python-versions = ">=3.5" [[package]] name = "attrs" -version = "21.4.0" +version = "22.1.0" description = "Classes Without Boilerplate" category = "dev" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +python-versions = ">=3.5" [package.extras] -dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit", "cloudpickle"] -docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"] -tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "cloudpickle"] -tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "cloudpickle"] +dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy (>=0.900,!=0.940)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "sphinx", "sphinx-notfound-page", "zope.interface"] +docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"] +tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "zope.interface"] +tests_no_zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"] [[package]] name = "black" -version = "22.3.0" +version = "22.8.0" description = "The uncompromising code formatter." category = "dev" optional = false @@ -33,7 +77,7 @@ click = ">=8.0.0" mypy-extensions = ">=0.4.3" pathspec = ">=0.9.0" platformdirs = ">=2" -tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} +tomli = {version = ">=1.1.0", markers = "python_full_version < \"3.11.0a7\""} typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\" and implementation_name == \"cpython\""} typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""} @@ -43,6 +87,28 @@ d = ["aiohttp (>=3.7.4)"] jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] uvloop = ["uvloop (>=0.15.2)"] +[[package]] +name = "cffi" +version = "1.15.1" +description = "Foreign Function Interface for Python calling C code." +category = "dev" +optional = false +python-versions = "*" + +[package.dependencies] +pycparser = "*" + +[[package]] +name = "charset-normalizer" +version = "2.1.1" +description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." +category = "dev" +optional = false +python-versions = ">=3.6.0" + +[package.extras] +unicode_backport = ["unicodedata2"] + [[package]] name = "click" version = "8.1.3" @@ -57,12 +123,31 @@ importlib-metadata = {version = "*", markers = "python_version < \"3.8\""} [[package]] name = "colorama" -version = "0.4.4" +version = "0.4.5" description = "Cross-platform colored terminal text." category = "dev" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +[[package]] +name = "cryptography" +version = "38.0.1" +description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." +category = "dev" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +cffi = ">=1.12" + +[package.extras] +docs = ["sphinx (>=1.6.5,!=1.8.0,!=3.1.0,!=3.1.1)", "sphinx-rtd-theme"] +docstest = ["pyenchant (>=1.6.11)", "sphinxcontrib-spelling (>=4.0.1)", "twine (>=1.12.0)"] +pep8test = ["black", "flake8", "flake8-import-order", "pep8-naming"] +sdist = ["setuptools-rust (>=0.11.4)"] +ssh = ["bcrypt (>=3.1.5)"] +test = ["hypothesis (>=1.11.4,!=3.79.2)", "iso8601", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-subtests", "pytest-xdist", "pytz"] + [[package]] name = "dacite" version = "1.6.0" @@ -72,11 +157,19 @@ optional = false python-versions = ">=3.6" [package.extras] -dev = ["pylint", "mypy", "black", "coveralls", "pytest-cov", "pytest (>=5)"] +dev = ["black", "coveralls", "mypy", "pylint", "pytest (>=5)", "pytest-cov"] + +[[package]] +name = "frozenlist" +version = "1.3.1" +description = "A list-like structure which implements collections.abc.MutableSequence" +category = "dev" +optional = false +python-versions = ">=3.7" [[package]] name = "grpcio" -version = "1.48.0" +version = "1.48.1" description = "HTTP/2-based RPC framework" category = "main" optional = false @@ -86,11 +179,19 @@ python-versions = ">=3.6" six = ">=1.5.2" [package.extras] -protobuf = ["grpcio-tools (>=1.48.0)"] +protobuf = ["grpcio-tools (>=1.48.1)"] + +[[package]] +name = "idna" +version = "3.3" +description = "Internationalized Domain Names in Applications (IDNA)" +category = "dev" +optional = false +python-versions = ">=3.5" [[package]] name = "importlib-metadata" -version = "4.11.4" +version = "4.12.0" description = "Read metadata from Python packages" category = "dev" optional = false @@ -101,9 +202,9 @@ typing-extensions = {version = ">=3.6.4", markers = "python_version < \"3.8\""} zipp = ">=0.5" [package.extras] -docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)"] +docs = ["jaraco.packaging (>=9)", "rst.linker (>=1.9)", "sphinx"] perf = ["ipython"] -testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"] +testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"] [[package]] name = "iniconfig" @@ -122,10 +223,18 @@ optional = false python-versions = ">=3.6.1,<4.0" [package.extras] -pipfile_deprecated_finder = ["pipreqs", "requirementslib"] -requirements_deprecated_finder = ["pipreqs", "pip-api"] colors = ["colorama (>=0.4.3,<0.5.0)"] +pipfile_deprecated_finder = ["pipreqs", "requirementslib"] plugins = ["setuptools"] +requirements_deprecated_finder = ["pip-api", "pipreqs"] + +[[package]] +name = "multidict" +version = "6.0.2" +description = "multidict implementation" +category = "dev" +optional = false +python-versions = ">=3.7" [[package]] name = "mypy" @@ -167,11 +276,11 @@ pyparsing = ">=2.0.2,<3.0.5 || >3.0.5" [[package]] name = "pathspec" -version = "0.9.0" +version = "0.10.1" description = "Utility library for gitignore style pattern matching of file paths." category = "dev" optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7" +python-versions = ">=3.7" [[package]] name = "platformdirs" @@ -182,8 +291,8 @@ optional = false python-versions = ">=3.7" [package.extras] -docs = ["furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)", "sphinx (>=4)"] -test = ["appdirs (==1.4.4)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)", "pytest (>=6)"] +docs = ["furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx (>=4)", "sphinx-autodoc-typehints (>=1.12)"] +test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"] [[package]] name = "pluggy" @@ -197,8 +306,8 @@ python-versions = ">=3.6" importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""} [package.extras] -testing = ["pytest-benchmark", "pytest"] -dev = ["tox", "pre-commit"] +dev = ["pre-commit", "tox"] +testing = ["pytest", "pytest-benchmark"] [[package]] name = "protobuf" @@ -216,6 +325,14 @@ category = "dev" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +[[package]] +name = "pycparser" +version = "2.21" +description = "C parser in Python" +category = "dev" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" + [[package]] name = "pyparsing" version = "3.0.9" @@ -225,18 +342,17 @@ optional = false python-versions = ">=3.6.8" [package.extras] -diagrams = ["railroad-diagrams", "jinja2"] +diagrams = ["jinja2", "railroad-diagrams"] [[package]] name = "pytest" -version = "7.1.2" +version = "7.1.3" description = "pytest: simple powerful testing with Python" category = "dev" optional = false python-versions = ">=3.7" [package.dependencies] -atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""} attrs = ">=19.2.0" colorama = {version = "*", markers = "sys_platform == \"win32\""} importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""} @@ -262,7 +378,7 @@ pytest = ">=6.1.0" typing-extensions = {version = ">=3.7.2", markers = "python_version < \"3.8\""} [package.extras] -testing = ["coverage (==6.2)", "hypothesis (>=5.7.1)", "flaky (>=3.5.0)", "mypy (==0.931)", "pytest-trio (>=0.7.0)"] +testing = ["coverage (==6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (==0.931)", "pytest-trio (>=0.7.0)"] [[package]] name = "six" @@ -308,7 +424,7 @@ python-versions = ">=3.6" [[package]] name = "types-protobuf" -version = "3.19.22" +version = "3.20.1" description = "Typing stubs for protobuf" category = "main" optional = false @@ -316,55 +432,657 @@ python-versions = "*" [[package]] name = "typing-extensions" -version = "4.2.0" +version = "4.3.0" description = "Backported and Experimental Type Hints for Python 3.7+" category = "main" optional = false python-versions = ">=3.7" +[[package]] +name = "yarl" +version = "1.8.1" 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cryptography = "^38.0.1", aiohttp = "^3.8.1" } + [tool.poe.tasks] format = [{cmd = "black ."}, {cmd = "isort ."}] lint = [{cmd = "black --check ."}, {cmd = "isort --check-only ."}, {ref = "lint-types" }] @@ -48,3 +55,7 @@ skip_gitignore = true [tool.mypy] ignore_missing_imports = true + +[[tool.mypy.overrides]] +module = "aiohttp.*" +ignore_errors = true From 8ccd571828e4f5c70000c75312e1104fa8b93ad2 Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Tue, 20 Sep 2022 10:55:12 -0500 Subject: [PATCH 03/84] Update SDK and custom converter/decorator samples (#19) Fixes #15 Fixes #14 --- README.md | 2 + custom_converter/README.md | 15 ++++ custom_converter/__init__.py | 0 custom_converter/starter.py | 40 +++++++++++ custom_converter/worker.py | 107 +++++++++++++++++++++++++++++ custom_decorator/README.md | 17 +++++ custom_decorator/__init__.py | 0 custom_decorator/activity_utils.py | 40 +++++++++++ custom_decorator/starter.py | 33 +++++++++ custom_decorator/worker.py | 75 ++++++++++++++++++++ poetry.lock | 90 +++++++++--------------- pyproject.toml | 2 +- 12 files changed, 362 insertions(+), 59 deletions(-) create mode 100644 custom_converter/README.md create mode 100644 custom_converter/__init__.py create mode 100644 custom_converter/starter.py create mode 100644 custom_converter/worker.py create mode 100644 custom_decorator/README.md create mode 100644 custom_decorator/__init__.py create mode 100644 custom_decorator/activity_utils.py create mode 100644 custom_decorator/starter.py create mode 100644 custom_decorator/worker.py diff --git a/README.md b/README.md index 979816a7..a9e9ae82 100644 --- a/README.md +++ b/README.md @@ -53,4 +53,6 @@ Some examples require extra dependencies. See each sample's directory for specif while running. * [hello_signal](hello/hello_signal.py) - Send signals to a workflow. * [activity_worker](activity_worker) - Use Python activities from a workflow in another language. +* [custom_converter](custom_converter) - Use a custom payload converter to handle custom types. +* [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. * [encryption](encryption) - Apply end-to-end encryption for all input/output. diff --git a/custom_converter/README.md b/custom_converter/README.md new file mode 100644 index 00000000..d4c9f588 --- /dev/null +++ b/custom_converter/README.md @@ -0,0 +1,15 @@ +# Custom Converter Sample + +This sample shows how to make a custom payload converter for a type not natively supported by Temporal. + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the +worker: + + poetry run python worker.py + +This will start the worker. Then, in another terminal, run the following to execute the workflow: + + poetry run python starter.py + +The workflow should complete with the hello result. If the custom converter was not set for the custom input and output +classes, we would get an error on the client side and on the worker side. \ No newline at end of file diff --git a/custom_converter/__init__.py b/custom_converter/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/custom_converter/starter.py b/custom_converter/starter.py new file mode 100644 index 00000000..ff2d94b1 --- /dev/null +++ b/custom_converter/starter.py @@ -0,0 +1,40 @@ +import asyncio +import dataclasses + +import temporalio.converter +from temporalio.client import Client + +from custom_converter.worker import ( + GreetingInput, + GreetingOutput, + GreetingPayloadConverter, + GreetingWorkflow, +) + + +async def main(): + # Connect client + client = await Client.connect( + "localhost:7233", + # Use the default data converter, but change the payload converter. + # Without this we get: + # TypeError: Object of type GreetingInput is not JSON serializable + data_converter=dataclasses.replace( + temporalio.converter.default(), + payload_converter_class=GreetingPayloadConverter, + ), + ) + + # Run workflow + result = await client.execute_workflow( + GreetingWorkflow.run, + GreetingInput("Temporal"), + id=f"custom_converter-workflow-id", + task_queue="custom_converter-task-queue", + ) + assert isinstance(result, GreetingOutput) + print(f"Workflow result: {result.result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/custom_converter/worker.py b/custom_converter/worker.py new file mode 100644 index 00000000..f7a4724a --- /dev/null +++ b/custom_converter/worker.py @@ -0,0 +1,107 @@ +import asyncio +import dataclasses +from typing import Any, Optional, Type + +import temporalio.converter +from temporalio import workflow +from temporalio.api.common.v1 import Payload +from temporalio.client import Client +from temporalio.converter import ( + CompositePayloadConverter, + DefaultPayloadConverter, + EncodingPayloadConverter, +) +from temporalio.worker import Worker + + +class GreetingInput: + def __init__(self, name: str) -> None: + self.name = name + + +class GreetingOutput: + def __init__(self, result: str) -> None: + self.result = result + + +@workflow.defn +class GreetingWorkflow: + @workflow.run + async def run(self, input: GreetingInput) -> GreetingOutput: + return GreetingOutput(f"Hello, {input.name}") + + +class GreetingEncodingPayloadConverter(EncodingPayloadConverter): + @property + def encoding(self) -> str: + return "text/my-greeting-encoding" + + def to_payload(self, value: Any) -> Optional[Payload]: + if isinstance(value, GreetingInput): + return Payload( + metadata={"encoding": self.encoding.encode(), "is_input": b"true"}, + data=value.name.encode(), + ) + elif isinstance(value, GreetingOutput): + return Payload( + metadata={"encoding": self.encoding.encode()}, + data=value.result.encode(), + ) + else: + return None + + def from_payload(self, payload: Payload, type_hint: Optional[Type] = None) -> Any: + if payload.metadata.get("is_input") == b"true": + # Confirm proper type hint if present + assert not type_hint or type_hint is GreetingInput + return GreetingInput(payload.data.decode()) + else: + assert not type_hint or type_hint is GreetingOutput + return GreetingOutput(payload.data.decode()) + + +class GreetingPayloadConverter(CompositePayloadConverter): + def __init__(self) -> None: + # Just add ours as first before the defaults + super().__init__( + GreetingEncodingPayloadConverter(), + # TODO(cretz): Make this list available without instantiation - https://github.com/temporalio/sdk-python/issues/139 + *DefaultPayloadConverter().converters.values(), + ) + + +interrupt_event = asyncio.Event() + + +async def main(): + # Connect client + client = await Client.connect( + "localhost:7233", + # Use the default data converter, but change the payload converter. + # Without this, when trying to run a workflow, we get: + # KeyError: 'Unknown payload encoding my-greeting-encoding + data_converter=dataclasses.replace( + temporalio.converter.default(), + payload_converter_class=GreetingPayloadConverter, + ), + ) + + # Run a worker for the workflow + async with Worker( + client, + task_queue="custom_converter-task-queue", + workflows=[GreetingWorkflow], + ): + # Wait until interrupted + print("Worker started, ctrl+c to exit") + await interrupt_event.wait() + print("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/custom_decorator/README.md b/custom_decorator/README.md new file mode 100644 index 00000000..65f59482 --- /dev/null +++ b/custom_decorator/README.md @@ -0,0 +1,17 @@ +# Custom Decorator Sample + +This sample shows a custom decorator can help with Temporal code reuse. Specifically, this makes a `@auto_heartbeater` +decorator that automatically configures an activity to heartbeat twice as frequently as the heartbeat timeout is set to. + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the +worker: + + poetry run python worker.py + +This will start the worker. Then, in another terminal, run the following to execute the workflow: + + poetry run python starter.py + +The workflow will be started, and then after 5 seconds will be sent a signal to cancel its forever-running activity. +The activity has a heartbeat timeout set to 2s, so since it has the `@auto_heartbeater` decorator set, it will heartbeat +every second. If this was not set, the workflow would fail with an activity heartbeat timeout failure. \ No newline at end of file diff --git a/custom_decorator/__init__.py b/custom_decorator/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/custom_decorator/activity_utils.py b/custom_decorator/activity_utils.py new file mode 100644 index 00000000..0590639c --- /dev/null +++ b/custom_decorator/activity_utils.py @@ -0,0 +1,40 @@ +import asyncio +from datetime import datetime +from functools import wraps +from typing import Any, Awaitable, Callable, TypeVar, cast + +from temporalio import activity + +F = TypeVar("F", bound=Callable[..., Awaitable[Any]]) + + +def auto_heartbeater(fn: F) -> F: + # We want to ensure that the type hints from the original callable are + # available via our wrapper, so we use the functools wraps decorator + @wraps(fn) + async def wrapper(*args, **kwargs): + done = asyncio.Event() + # Heartbeat twice as often as the timeout + heartbeat_timeout = activity.info().heartbeat_timeout + if heartbeat_timeout: + asyncio.create_task( + heartbeat_every(heartbeat_timeout.total_seconds() / 2, done) + ) + try: + return await fn(*args, **kwargs) + finally: + done.set() + + return cast(F, wrapper) + + +async def heartbeat_every( + delay: float, done_event: asyncio.Event, *details: Any +) -> None: + # Heartbeat every so often while not cancelled + while not done_event.is_set(): + try: + await asyncio.wait_for(done_event.wait(), delay) + except asyncio.TimeoutError: + print(f"Heartbeating at {datetime.now()}") + activity.heartbeat(*details) diff --git a/custom_decorator/starter.py b/custom_decorator/starter.py new file mode 100644 index 00000000..98bf542f --- /dev/null +++ b/custom_decorator/starter.py @@ -0,0 +1,33 @@ +import asyncio + +from temporalio.client import Client + +from custom_decorator.worker import WaitForCancelWorkflow + + +async def main(): + # Connect client + client = await Client.connect("localhost:7233") + + # Start the workflow + handle = await client.start_workflow( + WaitForCancelWorkflow.run, + id=f"custom_decorator-workflow-id", + task_queue="custom_decorator-task-queue", + ) + print("Started workflow, waiting 5 seconds before cancelling") + await asyncio.sleep(5) + + # Send a signal asking workflow to cancel the activity + await handle.signal(WaitForCancelWorkflow.cancel_activity) + + # Wait and expect to be told about the activity being cancelled. If we did + # not have the automatic heartbeater decorator, the signal would have failed + # because the workflow would already be completed as failed with activity + # heartbeat timeout. + result = await handle.result() + print(f"Result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/custom_decorator/worker.py b/custom_decorator/worker.py new file mode 100644 index 00000000..7d0d25ca --- /dev/null +++ b/custom_decorator/worker.py @@ -0,0 +1,75 @@ +import asyncio +from datetime import timedelta + +from temporalio import activity, workflow +from temporalio.client import Client +from temporalio.common import RetryPolicy +from temporalio.worker import Worker + +from custom_decorator.activity_utils import auto_heartbeater + + +# Here we use our automatic heartbeater decorator. If this wasn't present, our +# activity would timeout since it isn't heartbeating. +@activity.defn +@auto_heartbeater +async def wait_for_cancel_activity() -> str: + # Wait forever, catch the cancel, and return some value + try: + await asyncio.Future() + raise RuntimeError("unreachable") + except asyncio.CancelledError: + return "activity cancelled!" + + +@workflow.defn +class WaitForCancelWorkflow: + @workflow.run + async def run(self) -> str: + # Start activity and wait on it (it will get cancelled from signal) + self.activity = workflow.start_activity( + wait_for_cancel_activity, + start_to_close_timeout=timedelta(hours=20), + # We set a heartbeat timeout so Temporal knows if the activity + # failed/crashed. If we don't heartbeat within this time, Temporal + # will consider the activity failed. + heartbeat_timeout=timedelta(seconds=2), + # Tell the activity not to retry for demonstration purposes only + retry_policy=RetryPolicy(maximum_attempts=1), + # Tell the workflow to wait for the post-cancel result + cancellation_type=workflow.ActivityCancellationType.WAIT_CANCELLATION_COMPLETED, + ) + return await self.activity + + @workflow.signal + def cancel_activity(self) -> None: + self.activity.cancel() + + +interrupt_event = asyncio.Event() + + +async def main(): + # Connect client + client = await Client.connect("localhost:7233") + + # Run a worker for the workflow + async with Worker( + client, + task_queue="custom_decorator-task-queue", + workflows=[WaitForCancelWorkflow], + activities=[wait_for_cancel_activity], + ): + # Wait until interrupted + print("Worker started, ctrl+c to exit") + await interrupt_event.wait() + print("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/poetry.lock b/poetry.lock index 05882e06..279e9c7a 100644 --- a/poetry.lock +++ b/poetry.lock @@ -148,17 +148,6 @@ sdist = ["setuptools-rust (>=0.11.4)"] ssh = ["bcrypt (>=3.1.5)"] test = ["hypothesis (>=1.11.4,!=3.79.2)", "iso8601", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-subtests", "pytest-xdist", "pytz"] -[[package]] -name = "dacite" -version = "1.6.0" -description = "Simple creation of data classes from dictionaries." -category = "main" -optional = false -python-versions = ">=3.6" - 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run: python -m pip install --upgrade wheel poetry poethepoet - run: poetry install - run: poe lint - # TODO: Re-enable when tests appear - # - run: poe test -s -o log_cli_level=DEBUG + - run: poe test -s -o log_cli_level=DEBUG + - run: poe test -s -o log_cli_level=DEBUG --workflow-environment time-skipping diff --git a/README.md b/README.md index a9e9ae82..9946b7e1 100644 --- a/README.md +++ b/README.md @@ -56,3 +56,14 @@ Some examples require extra dependencies. See each sample's directory for specif * [custom_converter](custom_converter) - Use a custom payload converter to handle custom types. * [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. * [encryption](encryption) - Apply end-to-end encryption for all input/output. + + +## Test + +Running the tests requires `poe` to be installed. + + python -m pip install poethepoet + +Once you have `poe` installed you can run: + + poe test \ No newline at end of file diff --git a/encryption/__init__.py b/encryption/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/hello/__init__.py b/hello/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pyproject.toml b/pyproject.toml index 4c72d66c..2b51858a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,7 +36,7 @@ dependencies = { cryptography = "^38.0.1", aiohttp = "^3.8.1" } [tool.poe.tasks] format = [{cmd = "black ."}, {cmd = "isort ."}] lint = [{cmd = "black --check ."}, {cmd = "isort --check-only ."}, {ref = "lint-types" }] -lint-types = "mypy --no-silence-site-packages --check-untyped-defs ." +lint-types = "mypy --check-untyped-defs ." test = "pytest" [build-system] @@ -55,6 +55,7 @@ skip_gitignore = true [tool.mypy] ignore_missing_imports = true +namespace_packages = true [[tool.mypy.overrides]] module = "aiohttp.*" diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 00000000..95294fb4 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,55 @@ +import asyncio +import multiprocessing +import sys +from typing import AsyncGenerator + +import pytest +import pytest_asyncio +from temporalio.client import Client +from temporalio.testing import WorkflowEnvironment + +# Due to https://github.com/python/cpython/issues/77906, multiprocessing on +# macOS starting with Python 3.8 has changed from "fork" to "spawn". For +# pre-3.8, we are changing it for them. +if sys.version_info < (3, 8) and sys.platform.startswith("darwin"): + multiprocessing.set_start_method("spawn", True) + + +def pytest_addoption(parser): + parser.addoption( + "--workflow-environment", + default="local", + help="Which workflow environment to use ('local', 'time-skipping', or target to existing server)", + ) + + +@pytest.fixture(scope="session") +def event_loop(): + # See https://github.com/pytest-dev/pytest-asyncio/issues/68 + # See https://github.com/pytest-dev/pytest-asyncio/issues/257 + # Also need ProactorEventLoop on older versions of Python with Windows so + # that asyncio subprocess works properly + if sys.version_info < (3, 8) and sys.platform == "win32": + loop = asyncio.ProactorEventLoop() + else: + loop = asyncio.get_event_loop_policy().new_event_loop() + yield loop + loop.close() + + +@pytest_asyncio.fixture(scope="session") +async def env(request) -> AsyncGenerator[WorkflowEnvironment, None]: + env_type = request.config.getoption("--workflow-environment") + if env_type == "local": + env = await WorkflowEnvironment.start_local() + elif env_type == "time-skipping": + env = await WorkflowEnvironment.start_time_skipping() + else: + env = WorkflowEnvironment.from_client(await Client.connect(env_type)) + yield env + await env.shutdown() + + +@pytest_asyncio.fixture +async def client(env: WorkflowEnvironment) -> Client: + return env.client diff --git a/tests/hello/__init__.py b/tests/hello/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/hello/hello_activity_test.py b/tests/hello/hello_activity_test.py new file mode 100644 index 00000000..4bd8e40e --- /dev/null +++ b/tests/hello/hello_activity_test.py @@ -0,0 +1,49 @@ +import uuid + +from temporalio import activity +from temporalio.client import Client +from temporalio.worker import Worker + +from hello.hello_activity import ( + ComposeGreetingInput, + GreetingWorkflow, + compose_greeting, +) + + +async def test_execute_workflow(client: Client): + task_queue_name = str(uuid.uuid4()) + + async with Worker( + client, + task_queue=task_queue_name, + workflows=[GreetingWorkflow], + activities=[compose_greeting], + ): + assert "Hello, World!" == await client.execute_workflow( + GreetingWorkflow.run, + "World", + id=str(uuid.uuid4()), + task_queue=task_queue_name, + ) + + +@activity.defn(name="compose_greeting") +async def compose_greeting_mocked(input: ComposeGreetingInput) -> str: + return f"{input.greeting}, {input.name} from mocked activity!" + + +async def test_mock_activity(client: Client): + task_queue_name = str(uuid.uuid4()) + async with Worker( + client, + task_queue=task_queue_name, + workflows=[GreetingWorkflow], + activities=[compose_greeting_mocked], + ): + assert "Hello, World from mocked activity!" == await client.execute_workflow( + GreetingWorkflow.run, + "World", + id=str(uuid.uuid4()), + task_queue=task_queue_name, + ) From d709acf2b3df8a11bd1b8f74da43d4bbbdf24f36 Mon Sep 17 00:00:00 2001 From: Murillo Cesar Bianconi Date: Thu, 27 Oct 2022 09:33:15 -0300 Subject: [PATCH 05/84] Workflow using bad loop (#22) --- hello/hello_signal.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/hello/hello_signal.py b/hello/hello_signal.py index c8872417..a4f9b554 100644 --- a/hello/hello_signal.py +++ b/hello/hello_signal.py @@ -16,7 +16,7 @@ def __init__(self) -> None: async def run(self) -> List[str]: # Continually handle from queue or wait for exit to be received greetings: List[str] = [] - while not self._exit: + while True: # Wait for queue item or exit await workflow.wait_condition( lambda: not self._pending_greetings.empty() or self._exit @@ -26,7 +26,9 @@ async def run(self) -> List[str]: while not self._pending_greetings.empty(): greetings.append(f"Hello, {self._pending_greetings.get_nowait()}") - return greetings + # Exit if complete + if self._exit: + return greetings @workflow.signal async def submit_greeting(self, name: str) -> None: From 42613a0fc26ff2a4fdf223588f90648793dde7be Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Fri, 28 Oct 2022 11:22:05 -0500 Subject: [PATCH 06/84] OpenTelemetry sample (#18) Fixes #12 --- README.md | 5 +- activity_worker/__init__.py | 0 open_telemetry/README.md | 60 ++ open_telemetry/__init__.py | 0 open_telemetry/jaeger-screenshot.png | Bin 0 -> 20937 bytes .../otel-metrics-collector-config.yaml | 15 + open_telemetry/starter.py | 30 + open_telemetry/worker.py | 82 +++ poetry.lock | 608 ++++++++++++------ pyproject.toml | 10 + 10 files changed, 608 insertions(+), 202 deletions(-) create mode 100644 activity_worker/__init__.py create mode 100644 open_telemetry/README.md create mode 100644 open_telemetry/__init__.py create mode 100644 open_telemetry/jaeger-screenshot.png create mode 100644 open_telemetry/otel-metrics-collector-config.yaml create mode 100644 open_telemetry/starter.py create mode 100644 open_telemetry/worker.py diff --git a/README.md b/README.md index 9946b7e1..90e86ee2 100644 --- a/README.md +++ b/README.md @@ -52,11 +52,12 @@ Some examples require extra dependencies. See each sample's directory for specif * [hello_search_attributes](hello/hello_search_attributes.py) - Start workflow with search attributes then change while running. * [hello_signal](hello/hello_signal.py) - Send signals to a workflow. + * [activity_worker](activity_worker) - Use Python activities from a workflow in another language. * [custom_converter](custom_converter) - Use a custom payload converter to handle custom types. * [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. * [encryption](encryption) - Apply end-to-end encryption for all input/output. - +* [open_telemetry](open_telemetry) - Trace workflows with OpenTelemetry. ## Test @@ -66,4 +67,4 @@ Running the tests requires `poe` to be installed. Once you have `poe` installed you can run: - poe test \ No newline at end of file + poe test diff --git a/activity_worker/__init__.py b/activity_worker/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/open_telemetry/README.md b/open_telemetry/README.md new file mode 100644 index 00000000..3f71d8c3 --- /dev/null +++ b/open_telemetry/README.md @@ -0,0 +1,60 @@ +# OpenTelemetry Sample + +This sample shows how to configure OpenTelemetry to capture workflow traces and SDK metrics. + +For this sample, the optional `open_telemetry` dependency group must be included. To include, run: + + poetry install --with open_telemetry + +To run, first see [README.md](../README.md) for prerequisites. Then run the following to start a Jaeger container to +view the trace results: + + docker run -d --name jaeger \ + -p 16686:16686 \ + -p 6831:6831/udp \ + jaegertracing/all-in-one:latest + +Since that is running in the background (`-d`), you can also run the metrics collector in the foreground: + + docker run -p 4317:4317 \ + -v /path/to/samples-python/open_telemetry/otel-metrics-collector-config.yaml:/etc/otel-collector-config.yaml \ + otel/opentelemetry-collector:latest \ + --config=/etc/otel-collector-config.yaml + +Replace `/path/to/samples-python` with the absolute path to the cloned samples repo. + +Now, from this directory, start the worker in its own terminal: + + poetry run python worker.py + +This will start the worker. Then, in another terminal, run the following to execute the workflow: + + poetry run python starter.py + +The workflow should complete with the hello result. The workflow trace can now be viewed in Jaeger at +http://localhost:16686/. Under service, select `my-service` and "Find Traces". The workflow should appear and when +clicked, may look something like: + +![Jaeger Screenshot](jaeger-screenshot.png) + +Note, in-workflow spans do not have a time associated with them. This is by intention since due to replay. In +OpenTelemetry, only the process that started the span may end it. But in Temporal a span may cross workers/processes. +Therefore we intentionally start-then-end in-workflow spans immediately. So while the start time and hierarchy is +accurate, the duration is not. + +The metrics should have been dumped out in the terminal where the OpenTelemetry collector container is running. + +## OTLP gRPC + +Currently for tracing this example uses the `opentelemetry-exporter-jaeger-thrift` exporter because the common OTLP gRPC +exporter `opentelemetry-exporter-otlp-proto-grpc` uses an older, incompatible `protobuf` library. See +[this issue](https://github.com/open-telemetry/opentelemetry-python/issues/2880) for more information. + +Once OTel supports latest protobuf, the exporter can be changed and Jaeger could be run with: + + docker run -d --name jaeger \ + -e COLLECTOR_OTLP_ENABLED=true \ + -p 16686:16686 \ + -p 4317:4317 \ + -p 4318:4318 \ + jaegertracing/all-in-one:latest \ No newline at end of file diff --git a/open_telemetry/__init__.py b/open_telemetry/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/open_telemetry/jaeger-screenshot.png b/open_telemetry/jaeger-screenshot.png new file mode 100644 index 0000000000000000000000000000000000000000..8376d49c1a610b2891a571daa95f031143e1e120 GIT binary patch literal 20937 zcmce-2UwHawl<0t1r(8{A|OcbQbf8m=^(vVDN;jkfgm6ty-9D zArK$|0_29Jd!Mz=KIiQJKX={B^N3$EzvP>9j5)_U-ggYbU#iO8B6vW6hlh7dL0(1! z5AT{H?izFBGVV8@n@~OOze{c!a#DCz0}nTFFRt21sz~DD)x;8>nqR}czUeHl?}mqW zyZz$dr7l2;B_5u-iGqxzmbVEUd{#%@;e+T4SeREG=hRhK*Rs<7;IO#7h*WAWsZC@{ 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+@activity.defn +async def compose_greeting(name: str) -> str: + return f"Hello, {name}!" + + +interrupt_event = asyncio.Event() + + +def init_opentelemetry() -> None: + # Setup global tracer for workflow traces + provider = TracerProvider(resource=Resource.create({SERVICE_NAME: "my-service"})) + provider.add_span_processor(BatchSpanProcessor(JaegerExporter())) + trace.set_tracer_provider(provider) + + # Setup SDK metrics to OTel endpoint + telemetry.init_telemetry( + telemetry.TelemetryConfig( + otel_metrics=telemetry.OtelCollectorConfig( + url="http://localhost:4317", headers={} + ) + ) + ) + + +async def main(): + init_opentelemetry() + + # Connect client + client = await Client.connect( + "localhost:7233", + # Use OpenTelemetry interceptor + interceptors=[TracingInterceptor()], + ) + + # Run a worker for the workflow + async with Worker( + client, + task_queue="open_telemetry-task-queue", + workflows=[GreetingWorkflow], + activities=[compose_greeting], + ): + # Wait until interrupted + print("Worker started, ctrl+c to exit") + await interrupt_event.wait() + print("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/poetry.lock b/poetry.lock index 279e9c7a..af07ba97 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,6 +1,6 @@ [[package]] name = "aiohttp" -version = "3.8.1" +version = "3.8.3" description = "Async http client/server framework (asyncio)" category = "dev" optional = false @@ -66,11 +66,11 @@ tests_no_zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy [[package]] name = "black" -version = "22.8.0" +version = "22.10.0" description = "The uncompromising code formatter." category = "dev" optional = false -python-versions = ">=3.6.2" +python-versions = ">=3.7" [package.dependencies] click = ">=8.0.0" @@ -123,11 +123,11 @@ importlib-metadata = {version = "*", markers = "python_version < \"3.8\""} [[package]] name = "colorama" -version = "0.4.5" +version = "0.4.6" description = "Cross-platform colored terminal text." category = "dev" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" [[package]] name = "cryptography" @@ -148,6 +148,31 @@ sdist = ["setuptools-rust (>=0.11.4)"] ssh = ["bcrypt (>=3.1.5)"] test = ["hypothesis (>=1.11.4,!=3.79.2)", "iso8601", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-subtests", "pytest-xdist", "pytz"] +[[package]] +name = "Deprecated" +version = "1.2.13" +description = "Python @deprecated decorator to deprecate old python classes, functions or methods." +category = "dev" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" + +[package.dependencies] +wrapt = ">=1.10,<2" + +[package.extras] +dev = ["PyTest", "PyTest (<5)", "PyTest-Cov", "PyTest-Cov (<2.6)", "bump2version (<1)", "configparser (<5)", "importlib-metadata (<3)", "importlib-resources (<4)", "sphinx (<2)", "sphinxcontrib-websupport (<2)", "tox", "zipp (<2)"] + +[[package]] +name = "exceptiongroup" +version = "1.0.0" +description = "Backport of PEP 654 (exception groups)" +category = "dev" +optional = false +python-versions = ">=3.7" + +[package.extras] +test = ["pytest (>=6)"] + [[package]] name = "frozenlist" version = "1.3.1" @@ -158,17 +183,17 @@ python-versions = ">=3.7" [[package]] name = "grpcio" -version = "1.48.1" +version = "1.50.0" description = "HTTP/2-based RPC framework" category = "main" optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" [package.dependencies] six = ">=1.5.2" [package.extras] -protobuf = ["grpcio-tools (>=1.48.1)"] +protobuf = ["grpcio-tools (>=1.50.0)"] [[package]] name = "idna" @@ -180,7 +205,7 @@ python-versions = ">=3.5" [[package]] name = "importlib-metadata" -version = "4.12.0" +version = "5.0.0" description = "Read metadata from Python packages" category = "dev" optional = false @@ -191,9 +216,9 @@ typing-extensions = {version = ">=3.6.4", markers = "python_version < \"3.8\""} zipp = ">=0.5" [package.extras] -docs = ["jaraco.packaging (>=9)", "rst.linker (>=1.9)", "sphinx"] +docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"] perf = ["ipython"] -testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"] +testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"] [[package]] name = "iniconfig" @@ -252,6 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[package.dependencies] attrs = ">=19.2.0" colorama = {version = "*", markers = "sys_platform == \"win32\""} +exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""} importlib-metadata = {version = ">=0.12", markers = "python_version < \"3.8\""} iniconfig = "*" packaging = "*" pluggy = ">=0.12,<2.0" -py = ">=1.8.2" -tomli = ">=1.0.0" +tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} [package.extras] testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"] @@ -369,6 +433,19 @@ typing-extensions = {version = ">=3.7.2", markers = "python_version < \"3.8\""} [package.extras] testing = ["coverage (==6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (==0.931)", "pytest-trio (>=0.7.0)"] +[[package]] +name = "setuptools" +version = "65.5.0" +description = "Easily download, build, install, upgrade, and uninstall Python packages" +category = "dev" +optional = false +python-versions = ">=3.7" 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-0600 Subject: [PATCH 07/84] Update SDK to beta 3 (#27) --- hello/hello_activity_choice.py | 10 +++++---- hello/hello_activity_multiprocess.py | 5 ++++- hello/hello_activity_threaded.py | 5 ++++- open_telemetry/starter.py | 5 +++-- open_telemetry/worker.py | 28 ++++++++++++++++++------- poetry.lock | 31 +++++++++++++++++++++------- pyproject.toml | 2 +- 7 files changed, 63 insertions(+), 23 deletions(-) diff --git a/hello/hello_activity_choice.py b/hello/hello_activity_choice.py index 56b7b7e6..8629d714 100644 --- a/hello/hello_activity_choice.py +++ b/hello/hello_activity_choice.py @@ -58,7 +58,9 @@ async def run(self, list: ShoppingList) -> str: # Order each thing on the list ordered: List[str] = [] for item in list.items: - if item.fruit is Fruit.APPLE: + # TODO(cretz): Use "is" instead of "==" after + # https://github.com/temporalio/sdk-python/issues/200 is fixed + if item.fruit == Fruit.APPLE: ordered.append( await workflow.execute_activity( order_apples, @@ -66,7 +68,7 @@ async def run(self, list: ShoppingList) -> str: start_to_close_timeout=timedelta(seconds=5), ) ) - elif item.fruit is Fruit.BANANA: + elif item.fruit == Fruit.BANANA: ordered.append( await workflow.execute_activity( order_bananas, @@ -74,7 +76,7 @@ async def run(self, list: ShoppingList) -> str: start_to_close_timeout=timedelta(seconds=5), ) ) - elif item.fruit is Fruit.CHERRY: + elif item.fruit == Fruit.CHERRY: ordered.append( await workflow.execute_activity( order_cherries, @@ -82,7 +84,7 @@ async def run(self, list: ShoppingList) -> str: start_to_close_timeout=timedelta(seconds=5), ) ) - elif item.fruit is Fruit.ORANGE: + elif item.fruit == Fruit.ORANGE: ordered.append( await workflow.execute_activity( order_oranges, diff --git a/hello/hello_activity_multiprocess.py b/hello/hello_activity_multiprocess.py index 6630234d..49395c3f 100644 --- a/hello/hello_activity_multiprocess.py +++ b/hello/hello_activity_multiprocess.py @@ -2,7 +2,6 @@ import multiprocessing import os import time -from concurrent.futures import ProcessPoolExecutor from dataclasses import dataclass from datetime import timedelta @@ -10,6 +9,10 @@ from temporalio.client import Client from temporalio.worker import SharedStateManager, Worker +# TODO(cretz): https://github.com/temporalio/sdk-python/issues/201 +with workflow.unsafe.sandbox_unrestricted(): + from concurrent.futures import ProcessPoolExecutor + @dataclass class ComposeGreetingInput: diff --git a/hello/hello_activity_threaded.py b/hello/hello_activity_threaded.py index e7bf8344..3e745ffe 100644 --- a/hello/hello_activity_threaded.py +++ b/hello/hello_activity_threaded.py @@ -1,7 +1,6 @@ import asyncio import threading import time -from concurrent.futures import ThreadPoolExecutor from dataclasses import dataclass from datetime import timedelta @@ -9,6 +8,10 @@ from temporalio.client import Client from temporalio.worker import Worker +# TODO(cretz): https://github.com/temporalio/sdk-python/issues/201 +with workflow.unsafe.sandbox_unrestricted(): + from concurrent.futures import ThreadPoolExecutor + @dataclass class ComposeGreetingInput: diff --git a/open_telemetry/starter.py b/open_telemetry/starter.py index 2053662c..86360368 100644 --- a/open_telemetry/starter.py +++ b/open_telemetry/starter.py @@ -3,17 +3,18 @@ from temporalio.client import Client from temporalio.contrib.opentelemetry import TracingInterceptor -from open_telemetry.worker import GreetingWorkflow, init_opentelemetry +from open_telemetry.worker import GreetingWorkflow, init_runtime_with_telemetry async def main(): - init_opentelemetry() + runtime = init_runtime_with_telemetry() # Connect client client = await Client.connect( "localhost:7233", # Use OpenTelemetry interceptor interceptors=[TracingInterceptor()], + runtime=runtime, ) # Run workflow diff --git a/open_telemetry/worker.py b/open_telemetry/worker.py index 0b5b3c7a..6e1f26ca 100644 --- a/open_telemetry/worker.py +++ b/open_telemetry/worker.py @@ -1,6 +1,7 @@ import asyncio from datetime import timedelta +import opentelemetry.context from opentelemetry import trace # See note in README about why Thrift @@ -9,7 +10,12 @@ from opentelemetry.sdk.trace import TracerProvider from opentelemetry.sdk.trace.export import BatchSpanProcessor from temporalio import activity, workflow -from temporalio.bridge import telemetry +from temporalio.bridge.runtime import ( + MetricsConfig, + OpenTelemetryConfig, + Runtime, + TelemetryConfig, +) from temporalio.client import Client from temporalio.contrib.opentelemetry import TracingInterceptor from temporalio.worker import Worker @@ -34,30 +40,38 @@ async def compose_greeting(name: str) -> str: interrupt_event = asyncio.Event() -def init_opentelemetry() -> None: +def init_runtime_with_telemetry() -> Runtime: # Setup global tracer for workflow traces provider = TracerProvider(resource=Resource.create({SERVICE_NAME: "my-service"})) provider.add_span_processor(BatchSpanProcessor(JaegerExporter())) trace.set_tracer_provider(provider) # Setup SDK metrics to OTel endpoint - telemetry.init_telemetry( - telemetry.TelemetryConfig( - otel_metrics=telemetry.OtelCollectorConfig( - url="http://localhost:4317", headers={} + return Runtime( + telemetry=TelemetryConfig( + # TODO(cretz): Remove type ignore when + # https://github.com/temporalio/sdk-python/issues/198 fixed + metrics=MetricsConfig( # type: ignore + opentelemetry=OpenTelemetryConfig( + url="http://localhost:4317", headers={} + ) ) ) ) async def main(): - init_opentelemetry() + runtime = init_runtime_with_telemetry() + + # See https://github.com/temporalio/sdk-python/issues/199 + opentelemetry.context.get_current() # Connect client client = await Client.connect( "localhost:7233", # Use OpenTelemetry interceptor interceptors=[TracingInterceptor()], + runtime=runtime, ) # Run a worker for the workflow diff --git a/poetry.lock b/poetry.lock index af07ba97..2361ea8a 100644 --- a/poetry.lock +++ b/poetry.lock @@ -433,6 +433,17 @@ typing-extensions = {version = ">=3.7.2", markers = "python_version < \"3.8\""} [package.extras] testing = ["coverage (==6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (==0.931)", "pytest-trio (>=0.7.0)"] +[[package]] +name = "python-dateutil" +version = "2.8.2" +description = "Extensions to the standard Python datetime module" +category = "main" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" + +[package.dependencies] +six = ">=1.5" + [[package]] name = "setuptools" version = "65.5.0" @@ -456,7 +467,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" [[package]] name = "temporalio" -version = "0.1b2" +version = "0.1b3" description = "Temporal.io Python SDK" category = "main" optional = false @@ -467,6 +478,7 @@ grpcio = ">=1.48.0,<2.0.0" opentelemetry-api = {version = ">=1.11.1,<2.0.0", optional = true, markers = "extra == \"opentelemetry\""} opentelemetry-sdk = {version = ">=1.11.1,<2.0.0", optional = true, markers = "extra == \"opentelemetry\""} protobuf = ">=4.21,<4.22" +python-dateutil = {version = ">=2.8.2,<3.0.0", markers = "python_version < \"3.11\""} types-protobuf = ">=3.20,<3.21" typing-extensions = ">=4.2.0,<5.0.0" @@ -557,7 +569,7 @@ testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools" [metadata] lock-version = "1.1" python-versions = "^3.7" -content-hash = "19807842dede9104ff28469e05eb4638dc9cfe15f59fcb6f7945450d9dfef374" +content-hash = "e69c332108ce8982c06e65171c8959dac70b8d6a74a0f9a63936db4c82e71240" [metadata.files] aiohttp = [ @@ -1081,6 +1093,10 @@ pytest-asyncio = [ {file = "pytest_asyncio-0.18.3-1-py3-none-any.whl", hash = "sha256:16cf40bdf2b4fb7fc8e4b82bd05ce3fbcd454cbf7b92afc445fe299dabb88213"}, {file = "pytest_asyncio-0.18.3-py3-none-any.whl", hash = "sha256:8fafa6c52161addfd41ee7ab35f11836c5a16ec208f93ee388f752bea3493a84"}, ] +python-dateutil = [ + {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"}, + {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"}, +] setuptools = [ {file = "setuptools-65.5.0-py3-none-any.whl", hash = "sha256:f62ea9da9ed6289bfe868cd6845968a2c854d1427f8548d52cae02a42b4f0356"}, {file = "setuptools-65.5.0.tar.gz", hash = "sha256:512e5536220e38146176efb833d4a62aa726b7bbff82cfbc8ba9eaa3996e0b17"}, @@ -1090,11 +1106,12 @@ six = [ {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"}, ] temporalio = [ - {file = "temporalio-0.1b2-cp37-abi3-macosx_10_16_x86_64.whl", hash = "sha256:62d50c72127f6741e152a077f56f3047f6256f4941a5c76d3356c58ea5566dc8"}, - {file = "temporalio-0.1b2-cp37-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:0bad3aa899b8d953ce176bb55d78a1415cc52a1297024e25680b9aaa8e13e9cb"}, - {file = "temporalio-0.1b2-cp37-abi3-win_amd64.whl", hash = "sha256:a599b3e2977d2d66a52a3e8948964da2663b6003a6e03427b2c90354c2c0dc23"}, - {file = "temporalio-0.1b2-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:296ad431e78e377f0c9f04786a51e23a57c42d4854f0458f97c25058a10617f2"}, - {file = "temporalio-0.1b2.tar.gz", hash = "sha256:12baf4e107dfb78c4cfe3e64df04421d17193d163886658de4661b5d6c3eb485"}, + {file = "temporalio-0.1b3-cp37-abi3-macosx_10_16_x86_64.whl", hash = "sha256:97cceca6b4c923c837c9f47a2ec8c345499e8653da17d7c9e244cbb68d3e8c07"}, + {file = "temporalio-0.1b3-cp37-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:7f3ee745f2172d1716c064f3b6f06bde1e905870ccf4bb731e01293786e6396e"}, + {file = "temporalio-0.1b3-cp37-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a4e9c2ffc8089c6bcae78104d75db08bf75a784bee15cecba64a729013bbfef2"}, + {file = "temporalio-0.1b3-cp37-abi3-win_amd64.whl", hash = "sha256:f694e91e06fc81a83ab722e3ca0650eb367dc14a3e7011067eaa3a5fc8c8874d"}, + {file = "temporalio-0.1b3-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:5fab5060139afadbbdab093c61c2fcf214436781c9a8a616f42dd13be3d7b11b"}, + {file = "temporalio-0.1b3.tar.gz", hash = "sha256:8f2ea6f32cc7fbbdb7bfd0bf9a9338715444d37c5e1a43b3b0a4b3301e3523e1"}, ] thrift = [ {file = "thrift-0.16.0.tar.gz", hash = "sha256:2b5b6488fcded21f9d312aa23c9ff6a0195d0f6ae26ddbd5ad9e3e25dfc14408"}, diff --git a/pyproject.toml b/pyproject.toml index e9ae179a..3b1668b6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,7 +17,7 @@ packages = [ [tool.poetry.dependencies] python = "^3.7" -temporalio = "^0.1b2" +temporalio = "^0.1b3" [tool.poetry.dev-dependencies] black = "^22.3.0" From c682a3653a9a8f6aeb5206632f82d011b92a58e2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Antonio=20Mendoza=20P=C3=A9rez?= Date: Thu, 24 Nov 2022 03:35:51 +0100 Subject: [PATCH 08/84] add-test-hello-signal (#28) --- tests/hello/hello_signal_test.py | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) create mode 100644 tests/hello/hello_signal_test.py diff --git a/tests/hello/hello_signal_test.py b/tests/hello/hello_signal_test.py new file mode 100644 index 00000000..3cf0337a --- /dev/null +++ b/tests/hello/hello_signal_test.py @@ -0,0 +1,22 @@ +import uuid + +from temporalio.client import Client, WorkflowExecutionStatus +from temporalio.worker import Worker + +from hello.hello_signal import GreetingWorkflow + + +async def test_signal_workflow(client: Client): + task_queue_name = str(uuid.uuid4()) + async with Worker(client, task_queue=task_queue_name, workflows=[GreetingWorkflow]): + handle = await client.start_workflow( + GreetingWorkflow.run, id=str(uuid.uuid4()), task_queue=task_queue_name + ) + + await handle.signal(GreetingWorkflow.submit_greeting, "user1") + await handle.signal(GreetingWorkflow.submit_greeting, "user2") + assert WorkflowExecutionStatus.RUNNING == (await handle.describe()).status + + await handle.signal(GreetingWorkflow.exit) + assert ["Hello, user1", "Hello, user2"] == await handle.result() + assert WorkflowExecutionStatus.COMPLETED == (await handle.describe()).status From 0560628aa7102c1fbab94610b78a76f280384fc9 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Antonio=20Mendoza=20P=C3=A9rez?= Date: Thu, 24 Nov 2022 04:00:47 +0100 Subject: [PATCH 09/84] add-hello-query-test (#29) --- tests/hello/hello_query_test.py | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) create mode 100644 tests/hello/hello_query_test.py diff --git a/tests/hello/hello_query_test.py b/tests/hello/hello_query_test.py new file mode 100644 index 00000000..41b607f1 --- /dev/null +++ b/tests/hello/hello_query_test.py @@ -0,0 +1,26 @@ +import uuid + +from temporalio.testing import WorkflowEnvironment +from temporalio.worker import Worker + +from hello.hello_query import GreetingWorkflow + + +async def test_query_workflow(): + task_queue_name = str(uuid.uuid4()) + # start manual time skipping + async with await WorkflowEnvironment.start_time_skipping() as env: + async with Worker( + env.client, task_queue=task_queue_name, workflows=[GreetingWorkflow] + ): + handle = await env.client.start_workflow( + GreetingWorkflow.run, + "World", + id=str(uuid.uuid4()), + task_queue=task_queue_name, + ) + + assert "Hello, World!" == await handle.query(GreetingWorkflow.greeting) + # manually skip 3 seconds. This will allow the workflow execution to move forward + await env.sleep(3) + assert "Goodbye, World!" == await handle.query(GreetingWorkflow.greeting) From 1a414e2d4f94f662a414cc8c3c0b9f2abd1ed251 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Loren=20=E2=98=BA=EF=B8=8F?= <251288+lorensr@users.noreply.github.com> Date: Wed, 23 Nov 2022 21:20:21 -0600 Subject: [PATCH 10/84] Update default encryption key (#24) --- encryption/codec.py | 8 +++++--- encryption/starter.py | 2 +- encryption/worker.py | 2 +- 3 files changed, 7 insertions(+), 5 deletions(-) diff --git a/encryption/codec.py b/encryption/codec.py index 94e69dfd..6aaa58be 100644 --- a/encryption/codec.py +++ b/encryption/codec.py @@ -6,8 +6,8 @@ from temporalio.api.common.v1 import Payload from temporalio.converter import PayloadCodec -default_key = base64.b64decode(b"MkUb3RVdHQuOTedqETZW7ra2GkZqpBRmYWRACUospMc=") -default_key_id = "my-key" +default_key = b"test-key-test-key-test-key-test!" +default_key_id = "test-key-id" class EncryptionCodec(PayloadCodec): @@ -43,7 +43,9 @@ async def decode(self, payloads: Iterable[Payload]) -> List[Payload]: # Confirm our key ID is the same key_id = p.metadata.get("encryption-key-id", b"").decode() if key_id != self.key_id: - raise ValueError(f"Unrecognized key ID {key_id}") + raise ValueError( + f"Unrecognized key ID {key_id}. Current key ID is {self.key_id}." + ) # Decrypt and append ret.append(Payload.FromString(self.decrypt(p.data))) return ret diff --git a/encryption/starter.py b/encryption/starter.py index 4c39f553..7a64060f 100644 --- a/encryption/starter.py +++ b/encryption/starter.py @@ -23,7 +23,7 @@ async def main(): GreetingWorkflow.run, "Temporal", id=f"encryption-workflow-id", - task_queue="encryption-task-queue", + task_queue="encryption", ) print(f"Workflow result: {result}") diff --git a/encryption/worker.py b/encryption/worker.py index 2c410ab7..b99a2eab 100644 --- a/encryption/worker.py +++ b/encryption/worker.py @@ -9,7 +9,7 @@ from encryption.codec import EncryptionCodec -@workflow.defn +@workflow.defn(name="Workflow") class GreetingWorkflow: @workflow.run async def run(self, name: str) -> str: From b4ef1395d73cfcd7189fa83a9cfbbe493911eea1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Antonio=20Mendoza=20P=C3=A9rez?= Date: Tue, 29 Nov 2022 09:45:02 +0100 Subject: [PATCH 11/84] add test to hello_cancellation (#30) * add test hello_cancellation --- tests/hello/hello_cancellation_test.py | 56 ++++++++++++++++++++++++++ 1 file changed, 56 insertions(+) create mode 100644 tests/hello/hello_cancellation_test.py diff --git a/tests/hello/hello_cancellation_test.py b/tests/hello/hello_cancellation_test.py new file mode 100644 index 00000000..2d4b946e --- /dev/null +++ b/tests/hello/hello_cancellation_test.py @@ -0,0 +1,56 @@ +import asyncio +import uuid + +import pytest +from temporalio.client import Client, WorkflowExecutionStatus, WorkflowFailureError +from temporalio.exceptions import CancelledError +from temporalio.worker import Worker + +from hello.hello_cancellation import ( + CancellationWorkflow, + cleanup_activity, + never_complete_activity, +) + + +async def test_cancel_workflow(client: Client): + task_queue_name = str(uuid.uuid4()) + + async with Worker( + client, + task_queue=task_queue_name, + workflows=[CancellationWorkflow], + activities=[cleanup_activity, never_complete_activity], + ): + handle = await client.start_workflow( + CancellationWorkflow.run, + id=(str(uuid.uuid4())), + task_queue=task_queue_name, + ) + + await asyncio.wait_for( + wait_for_activity_to_start("never_complete_activity", handle), + timeout=5, + ) + + await handle.cancel() + + with pytest.raises(WorkflowFailureError) as err: + await handle.result() + assert isinstance(err.value.cause, CancelledError) + + assert WorkflowExecutionStatus.CANCELED == (await handle.describe()).status + + +async def wait_for_activity_to_start(activity_name, handle): + while not (await has_activity_started(activity_name, handle)): + await asyncio.sleep(0.2) + + +async def has_activity_started(activity_name, handle): + pending_activities = (await handle.describe()).raw_description.pending_activities + for pending_activity in pending_activities: + if pending_activity.activity_type.name == activity_name: + return True + + return False From 8407dca0921cee3da825d94634c55c7ac2330e85 Mon Sep 17 00:00:00 2001 From: Spencer Judge Date: Thu, 1 Dec 2022 15:53:47 -0800 Subject: [PATCH 12/84] Add replayer sample (#26) --- replay/README.md | 34 +++++++++++++++++ replay/__init__.py | 0 replay/replayer.py | 22 +++++++++++ replay/starter.py | 42 ++++++++++++++++++++ replay/worker.py | 95 ++++++++++++++++++++++++++++++++++++++++++++++ 5 files changed, 193 insertions(+) create mode 100644 replay/README.md create mode 100644 replay/__init__.py create mode 100644 replay/replayer.py create mode 100644 replay/starter.py create mode 100644 replay/worker.py diff --git a/replay/README.md b/replay/README.md new file mode 100644 index 00000000..3a67868a --- /dev/null +++ b/replay/README.md @@ -0,0 +1,34 @@ +# Replay Sample + +This sample shows you how you can verify changes to workflow code are compatible with existing +workflow histories. + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the +worker: + + poetry run python worker.py + +This will start the worker. Then, in another terminal, run the following to execute a workflow: + + poetry run python starter.py + +Next, run the replayer: + + poetry run python replayer.py + +Which should produce some output like: + + WorkflowReplayResults(replay_failures={}) + +Great! Replay worked. Of course, the reason for the exercise is to catch if you've changed workflow +code in a manner which is *not* compatible with the existing histories. Try it. Open up `worker.py` +and change the `JustActivity` workflow to sleep just before running the activity. Add +`await asyncio.sleep(0.1)` just before the line with `workflow.execute_activity`. + +Now run the replayer again. The results from the `replay_workflows` call now indeed contains a +failure! Something like: + + WorkflowReplayResults(replay_failures={'e6418672-323c-4868-9de4-ece8f34fec53': NondeterminismError('Workflow activation completion failed: Failure { failure: Some(Failure { message: "Nondeterminism(\\"Timer machine does not handle this event: HistoryEvent(id: 8, Some(ActivityTaskScheduled))\\")", source: "", stack_trace: "", encoded_attributes: None, cause: None, failure_info: Some(ApplicationFailureInfo(ApplicationFailureInfo { r#type: "", non_retryable: false, details: None })) }) }')}) + +This is telling you that the workflow is not compatible with the existing history. Phew! Glad we +didn't deploy that one. diff --git a/replay/__init__.py b/replay/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/replay/replayer.py b/replay/replayer.py new file mode 100644 index 00000000..49f16313 --- /dev/null +++ b/replay/replayer.py @@ -0,0 +1,22 @@ +import asyncio + +from temporalio.client import Client +from temporalio.worker import Replayer + +from replay.worker import JustActivity, JustTimer, TimerThenActivity + + +async def main(): + # Connect client + client = await Client.connect("localhost:7233") + + # Fetch the histories of the workflows to be replayed + workflows = client.list_workflows('WorkflowId="replayer-workflow-id"') + histories = workflows.map_histories() + replayer = Replayer(workflows=[JustActivity, JustTimer, TimerThenActivity]) + results = await replayer.replay_workflows(histories, raise_on_replay_failure=False) + print(results) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/replay/starter.py b/replay/starter.py new file mode 100644 index 00000000..daf07098 --- /dev/null +++ b/replay/starter.py @@ -0,0 +1,42 @@ +import asyncio + +from temporalio.client import Client + +from replay.worker import JustActivity, JustTimer, TimerThenActivity + + +async def main(): + # Connect client + client = await Client.connect("localhost:7233") + + # Run a few workflows + # Importantly, normally we would *not* advise re-using the same workflow ID for all of these, + # but we do this to avoid requiring advanced visibility when we want to fetch all the histories + # in the replayer. + result = await client.execute_workflow( + JustActivity.run, + "replayer", + id=f"replayer-workflow-id", + task_queue="replay-sample", + ) + print(f"JustActivity Workflow result: {result}") + + result = await client.execute_workflow( + JustTimer.run, + "replayer", + id=f"replayer-workflow-id", + task_queue="replay-sample", + ) + print(f"JustTimer Workflow result: {result}") + + result = await client.execute_workflow( + TimerThenActivity.run, + "replayer", + id=f"replayer-workflow-id", + task_queue="replay-sample", + ) + print(f"TimerThenActivity Workflow result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/replay/worker.py b/replay/worker.py new file mode 100644 index 00000000..3aebc099 --- /dev/null +++ b/replay/worker.py @@ -0,0 +1,95 @@ +import asyncio +import logging +from dataclasses import dataclass +from datetime import timedelta + +from temporalio import activity, workflow +from temporalio.client import Client +from temporalio.worker import Worker + + +# While we could use multiple parameters in the activity, Temporal strongly +# encourages using a single dataclass instead which can have fields added to it +# in a backwards-compatible way. +@dataclass +class ComposeGreetingInput: + greeting: str + name: str + + +# Basic activity that logs and does string concatenation +@activity.defn +async def compose_greeting(input: ComposeGreetingInput) -> str: + activity.logger.info("Running activity with parameter %s" % input) + return f"{input.greeting}, {input.name}!" + + +# A workflow which just runs an activity +@workflow.defn +class JustActivity: + @workflow.run + async def run(self, name: str) -> str: + workflow.logger.info("Running just activity workflow with parameter %s" % name) + return await workflow.execute_activity( + compose_greeting, + ComposeGreetingInput("Hello", name), + start_to_close_timeout=timedelta(seconds=10), + ) + + +# A workflow which just runs a timer +@workflow.defn +class JustTimer: + @workflow.run + async def run(self, name: str) -> str: + workflow.logger.info("Running just timer workflow with parameter %s" % name) + await asyncio.sleep(0.1) + return "Slept" + + +# A workflow which runs a timer then an activity +@workflow.defn +class TimerThenActivity: + @workflow.run + async def run(self, name: str) -> str: + workflow.logger.info( + "Running timer then activity workflow with parameter %s" % name + ) + await asyncio.sleep(0.1) + return await workflow.execute_activity( + compose_greeting, + ComposeGreetingInput("Hello", name), + start_to_close_timeout=timedelta(seconds=10), + ) + + +interrupt_event = asyncio.Event() + + +async def main(): + # Uncomment the line below to see logging + logging.basicConfig(level=logging.INFO) + + # Start client + client = await Client.connect("localhost:7233") + + # Run a worker for the workflow + async with Worker( + client, + task_queue="replay-sample", + workflows=[JustActivity, JustTimer, TimerThenActivity], + activities=[compose_greeting], + ): + # Wait until interrupted + print("Worker started, ctrl+c to exit") + await interrupt_event.wait() + print("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) From 8e753f4be1aff82d9dd9fe7f67fab151a9c21bff Mon Sep 17 00:00:00 2001 From: nediamond Date: Fri, 2 Dec 2022 06:22:39 -0800 Subject: [PATCH 13/84] Sentry interceptor example (#23) --- README.md | 1 + poetry.lock | 76 +++++++++++++++++++++++++++++++++--- pyproject.toml | 4 ++ sentry/README.md | 19 +++++++++ sentry/__init__.py | 0 sentry/interceptor.py | 91 +++++++++++++++++++++++++++++++++++++++++++ sentry/starter.py | 24 ++++++++++++ sentry/worker.py | 64 ++++++++++++++++++++++++++++++ 8 files changed, 274 insertions(+), 5 deletions(-) create mode 100644 sentry/README.md create mode 100644 sentry/__init__.py create mode 100644 sentry/interceptor.py create mode 100644 sentry/starter.py create mode 100644 sentry/worker.py diff --git a/README.md b/README.md index 90e86ee2..e125b159 100644 --- a/README.md +++ b/README.md @@ -58,6 +58,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. * [encryption](encryption) - Apply end-to-end encryption for all input/output. * [open_telemetry](open_telemetry) - Trace workflows with OpenTelemetry. +* [sentry](sentry) - Report errors to Sentry. ## Test diff --git a/poetry.lock b/poetry.lock index 2361ea8a..645eaa13 100644 --- a/poetry.lock +++ b/poetry.lock @@ -62,7 +62,7 @@ python-versions = ">=3.5" dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy (>=0.900,!=0.940)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "sphinx", "sphinx-notfound-page", "zope.interface"] docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"] tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "zope.interface"] -tests_no_zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"] +tests-no-zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"] [[package]] name = "black" @@ -87,6 +87,14 @@ d = ["aiohttp (>=3.7.4)"] jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] uvloop = ["uvloop (>=0.15.2)"] +[[package]] +name = "certifi" +version = "2022.9.24" +description = "Python package for providing Mozilla's CA Bundle." +category = "dev" +optional = false +python-versions = ">=3.6" + [[package]] name = "cffi" version = "1.15.1" @@ -107,7 +115,7 @@ optional = false python-versions = ">=3.6.0" [package.extras] -unicode_backport = ["unicodedata2"] +unicode-backport = ["unicodedata2"] [[package]] name = "click" @@ -238,9 +246,9 @@ python-versions = ">=3.6.1,<4.0" [package.extras] colors = ["colorama (>=0.4.3,<0.5.0)"] -pipfile_deprecated_finder = ["pipreqs", "requirementslib"] +pipfile-deprecated-finder = ["pipreqs", "requirementslib"] plugins = ["setuptools"] -requirements_deprecated_finder = ["pip-api", "pipreqs"] +requirements-deprecated-finder = ["pip-api", "pipreqs"] [[package]] name = "multidict" @@ -444,6 +452,39 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" [package.dependencies] six = ">=1.5" +[[package]] +name = "sentry-sdk" +version = "1.11.1" +description = "Python client for Sentry (https://sentry.io)" +category = "dev" +optional = false +python-versions = "*" + +[package.dependencies] +certifi = "*" +urllib3 = {version = ">=1.26.11", markers = "python_version >= \"3.6\""} + +[package.extras] +aiohttp = ["aiohttp (>=3.5)"] +beam = ["apache-beam (>=2.12)"] +bottle = ["bottle (>=0.12.13)"] +celery = ["celery (>=3)"] +chalice = ["chalice (>=1.16.0)"] +django = ["django (>=1.8)"] +falcon = ["falcon (>=1.4)"] +fastapi = ["fastapi (>=0.79.0)"] +flask = ["blinker (>=1.1)", "flask (>=0.11)"] +httpx = ["httpx (>=0.16.0)"] +pure-eval = ["asttokens", "executing", "pure-eval"] +pymongo = ["pymongo (>=3.1)"] +pyspark = ["pyspark (>=2.4.4)"] +quart = ["blinker (>=1.1)", "quart (>=0.16.1)"] +rq = ["rq (>=0.6)"] +sanic = ["sanic (>=0.8)"] +sqlalchemy = ["sqlalchemy (>=1.2)"] +starlette = ["starlette (>=0.19.1)"] +tornado = ["tornado (>=5)"] + [[package]] name = "setuptools" version = "65.5.0" @@ -533,6 +574,19 @@ category = "main" optional = false python-versions = ">=3.7" +[[package]] +name = "urllib3" +version = "1.26.13" +description = "HTTP library with thread-safe connection pooling, file post, and more." +category = "dev" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*" + +[package.extras] +brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"] +secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"] +socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] + [[package]] name = "wrapt" version = "1.14.1" @@ -569,7 +623,7 @@ testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools" [metadata] lock-version = "1.1" python-versions = "^3.7" -content-hash = "e69c332108ce8982c06e65171c8959dac70b8d6a74a0f9a63936db4c82e71240" +content-hash = "31368c8e4fee9c79feab473c6716465822c13b46228a76e810d6aec530c394d3" [metadata.files] aiohttp = [ @@ -700,6 +754,10 @@ black = [ {file = "black-22.10.0-py3-none-any.whl", hash = "sha256:c957b2b4ea88587b46cf49d1dc17681c1e672864fd7af32fc1e9664d572b3458"}, {file = "black-22.10.0.tar.gz", hash = "sha256:f513588da599943e0cde4e32cc9879e825d58720d6557062d1098c5ad80080e1"}, ] +certifi = [ + {file = "certifi-2022.9.24-py3-none-any.whl", hash = "sha256:90c1a32f1d68f940488354e36370f6cca89f0f106db09518524c88d6ed83f382"}, + {file = "certifi-2022.9.24.tar.gz", hash = "sha256:0d9c601124e5a6ba9712dbc60d9c53c21e34f5f641fe83002317394311bdce14"}, +] cffi = [ {file = "cffi-1.15.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:a66d3508133af6e8548451b25058d5812812ec3798c886bf38ed24a98216fab2"}, {file = "cffi-1.15.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:470c103ae716238bbe698d67ad020e1db9d9dba34fa5a899b5e21577e6d52ed2"}, @@ -1097,6 +1155,10 @@ python-dateutil = [ {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"}, {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"}, ] +sentry-sdk = [ + {file = "sentry-sdk-1.11.1.tar.gz", hash = "sha256:675f6279b6bb1fea09fd61751061f9a90dca3b5929ef631dd50dc8b3aeb245e9"}, + {file = "sentry_sdk-1.11.1-py2.py3-none-any.whl", hash = "sha256:8b4ff696c0bdcceb3f70bbb87a57ba84fd3168b1332d493fcd16c137f709578c"}, +] setuptools = [ {file = "setuptools-65.5.0-py3-none-any.whl", hash = "sha256:f62ea9da9ed6289bfe868cd6845968a2c854d1427f8548d52cae02a42b4f0356"}, {file = "setuptools-65.5.0.tar.gz", hash = "sha256:512e5536220e38146176efb833d4a62aa726b7bbff82cfbc8ba9eaa3996e0b17"}, @@ -1154,6 +1216,10 @@ typing-extensions = [ {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"}, {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"}, ] +urllib3 = [ + {file = "urllib3-1.26.13-py2.py3-none-any.whl", hash = "sha256:47cc05d99aaa09c9e72ed5809b60e7ba354e64b59c9c173ac3018642d8bb41fc"}, + {file = "urllib3-1.26.13.tar.gz", hash = "sha256:c083dd0dce68dbfbe1129d5271cb90f9447dea7d52097c6e0126120c521ddea8"}, +] wrapt = [ {file = "wrapt-1.14.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3"}, {file = "wrapt-1.14.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef"}, diff --git a/pyproject.toml b/pyproject.toml index 3b1668b6..f9a88ae4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -39,6 +39,10 @@ optional = true temporalio = { version = "*", extras = ["opentelemetry"] } opentelemetry-exporter-jaeger-thrift = "^1.13.0" +[tool.poetry.group.sentry] +optional = true +dependencies = { sentry-sdk = "^1.11.0" } + [tool.poe.tasks] format = [{cmd = "black ."}, {cmd = "isort ."}] lint = [{cmd = "black --check ."}, {cmd = "isort --check-only ."}, {ref = "lint-types" }] diff --git a/sentry/README.md b/sentry/README.md new file mode 100644 index 00000000..45977731 --- /dev/null +++ b/sentry/README.md @@ -0,0 +1,19 @@ +# Sentry Sample + +This sample shows how to configure [Sentry](https://sentry.io) to intercept and capture errors from the Temporal SDK. + +For this sample, the optional `sentry` dependency group must be included. To include, run: + + poetry install --with sentry + +To run, first see [README.md](../README.md) for prerequisites. Set `SENTRY_DSN` environment variable to the Sentry DSN. +Then, run the following from this directory to start the worker: + + poetry run python worker.py + +This will start the worker. Then, in another terminal, run the following to execute the workflow: + + poetry run python starter.py + +The workflow should complete with the hello result. If you alter the workflow or the activity to raise an +`ApplicationError` instead, it should appear in Sentry. \ No newline at end of file diff --git a/sentry/__init__.py b/sentry/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/sentry/interceptor.py b/sentry/interceptor.py new file mode 100644 index 00000000..178db35a --- /dev/null +++ b/sentry/interceptor.py @@ -0,0 +1,91 @@ +from dataclasses import asdict, is_dataclass +from typing import Any, Optional, Type, Union + +import sentry_sdk +from temporalio import activity, workflow +from temporalio.worker import ( + ActivityInboundInterceptor, + ExecuteActivityInput, + ExecuteWorkflowInput, + Interceptor, + WorkflowInboundInterceptor, + WorkflowInterceptorClassInput, +) + + +def _set_common_workflow_tags( + info: Union[workflow.Info, activity.Info], scope: sentry_sdk.Scope +): + scope.set_tag("temporal.workflow.type", info.workflow_type) + scope.set_tag("temporal.workflow.id", info.workflow_id) + + +class _SentryActivityInboundInterceptor(ActivityInboundInterceptor): + async def execute_activity(self, input: ExecuteActivityInput) -> Any: + transaction_name = input.fn.__module__ + "." + input.fn.__qualname__ + scope_ctx_manager = sentry_sdk.configure_scope() + with scope_ctx_manager as scope, sentry_sdk.start_transaction( + name=transaction_name + ): + scope.set_tag("temporal.execution_type", "activity") + activity_info = activity.info() + _set_common_workflow_tags(activity_info, scope) + scope.set_tag("temporal.activity.id", activity_info.activity_id) + scope.set_tag("temporal.activity.type", activity_info.activity_type) + scope.set_tag("temporal.activity.task_queue", activity_info.task_queue) + scope.set_tag( + "temporal.workflow.namespace", activity_info.workflow_namespace + ) + scope.set_tag("temporal.workflow.run_id", activity_info.workflow_run_id) + try: + return await super().execute_activity(input) + except Exception as e: + if len(input.args) == 1 and is_dataclass(input.args[0]): + scope.set_context("temporal.activity.input", asdict(input.args[0])) + scope.set_context("temporal.activity.info", activity.info().__dict__) + sentry_sdk.capture_exception(e) + raise e + finally: + scope.clear() + + +class _SentryWorkflowInterceptor(WorkflowInboundInterceptor): + async def execute_workflow(self, input: ExecuteWorkflowInput) -> Any: + transaction_name = input.run_fn.__module__ + "." + input.run_fn.__qualname__ + scope_ctx_manager = sentry_sdk.configure_scope() + with scope_ctx_manager as scope, sentry_sdk.start_transaction( + name=transaction_name + ): + scope.set_tag("temporal.execution_type", "workflow") + workflow_info = workflow.info() + _set_common_workflow_tags(workflow_info, scope) + scope.set_tag("temporal.workflow.task_queue", workflow_info.task_queue) + scope.set_tag("temporal.workflow.namespace", workflow_info.namespace) + scope.set_tag("temporal.workflow.run_id", workflow_info.run_id) + try: + return await super().execute_workflow(input) + except Exception as e: + if len(input.args) == 1 and is_dataclass(input.args[0]): + scope.set_context("temporal.workflow.input", asdict(input.args[0])) + scope.set_context("temporal.workflow.info", workflow.info().__dict__) + sentry_sdk.capture_exception(e) + raise e + finally: + scope.clear() + + +class SentryInterceptor(Interceptor): + """Temporal Interceptor class which will report workflow & activity exceptions to Sentry""" + + def intercept_activity( + self, next: ActivityInboundInterceptor + ) -> ActivityInboundInterceptor: + """Implementation of + :py:meth:`temporalio.worker.Interceptor.intercept_activity`. + """ + return _SentryActivityInboundInterceptor(super().intercept_activity(next)) + + def workflow_interceptor_class( + self, input: WorkflowInterceptorClassInput + ) -> Optional[Type[WorkflowInboundInterceptor]]: + return _SentryWorkflowInterceptor diff --git a/sentry/starter.py b/sentry/starter.py new file mode 100644 index 00000000..9d0a0dc7 --- /dev/null +++ b/sentry/starter.py @@ -0,0 +1,24 @@ +import asyncio +import os + +from temporalio.client import Client + +from sentry.worker import GreetingWorkflow + + +async def main(): + # Connect client + client = await Client.connect("localhost:7233") + + # Run workflow + result = await client.execute_workflow( + GreetingWorkflow.run, + "World", + id="sentry-workflow-id", + task_queue="sentry-task-queue", + ) + print(f"Workflow result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/sentry/worker.py b/sentry/worker.py new file mode 100644 index 00000000..1db0826b --- /dev/null +++ b/sentry/worker.py @@ -0,0 +1,64 @@ +import asyncio +import logging +import os +from dataclasses import dataclass +from datetime import timedelta + +import sentry_sdk +from temporalio import activity, workflow +from temporalio.client import Client +from temporalio.worker import Worker + +from sentry.interceptor import SentryInterceptor + + +@dataclass +class ComposeGreetingInput: + greeting: str + name: str + + +@activity.defn +async def compose_greeting(input: ComposeGreetingInput) -> str: + activity.logger.info("Running activity with parameter %s" % input) + return f"{input.greeting}, {input.name}!" + + +@workflow.defn +class GreetingWorkflow: + @workflow.run + async def run(self, name: str) -> str: + workflow.logger.info("Running workflow with parameter %s" % name) + return await workflow.execute_activity( + compose_greeting, + ComposeGreetingInput("Hello", name), + start_to_close_timeout=timedelta(seconds=10), + ) + + +async def main(): + # Uncomment the line below to see logging + # logging.basicConfig(level=logging.INFO) + + # Initialize the Sentry SDK + sentry_sdk.init( + dsn=os.environ.get("SENTRY_DSN"), + ) + + # Start client + client = await Client.connect("localhost:7233") + + # Run a worker for the workflow + worker = Worker( + client, + task_queue="sentry-task-queue", + workflows=[GreetingWorkflow], + activities=[compose_greeting], + interceptors=[SentryInterceptor()], # Use SentryInterceptor for error reporting + ) + + await worker.run() + + +if __name__ == "__main__": + asyncio.run(main()) From 614fe66a002b7ed9d1014b16c45bf211982b7fd9 Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Wed, 7 Dec 2022 12:48:26 -0600 Subject: [PATCH 14/84] Update Python SDK to 0.1b4 (#32) --- poetry.lock | 18 +++++++++--------- pyproject.toml | 2 +- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/poetry.lock b/poetry.lock index 645eaa13..ee43e3b7 100644 --- a/poetry.lock +++ b/poetry.lock @@ -508,7 +508,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" [[package]] name = "temporalio" -version = "0.1b3" +version = "0.1b4" description = "Temporal.io Python SDK" category = "main" optional = false @@ -518,7 +518,7 @@ python-versions = ">=3.7,<4.0" grpcio = ">=1.48.0,<2.0.0" opentelemetry-api = {version = ">=1.11.1,<2.0.0", optional = true, markers = "extra == \"opentelemetry\""} opentelemetry-sdk = {version = ">=1.11.1,<2.0.0", optional = true, markers = "extra == \"opentelemetry\""} -protobuf = ">=4.21,<4.22" +protobuf = ">=3.19" python-dateutil = {version = ">=2.8.2,<3.0.0", markers = "python_version < \"3.11\""} types-protobuf = ">=3.20,<3.21" typing-extensions = ">=4.2.0,<5.0.0" @@ -623,7 +623,7 @@ testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools" [metadata] lock-version = "1.1" python-versions = "^3.7" -content-hash = "31368c8e4fee9c79feab473c6716465822c13b46228a76e810d6aec530c394d3" +content-hash = "ad8c53c95774f95beba1d7acc1020738e3858935009ad64754fafb79fd4f520b" [metadata.files] aiohttp = [ @@ -1168,12 +1168,12 @@ six = [ {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"}, ] temporalio = [ - {file = "temporalio-0.1b3-cp37-abi3-macosx_10_16_x86_64.whl", hash = "sha256:97cceca6b4c923c837c9f47a2ec8c345499e8653da17d7c9e244cbb68d3e8c07"}, - {file = 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+temporalio = "^0.1b4" [tool.poetry.dev-dependencies] black = "^22.3.0" From af94df067f2d0afc5fd4f2433e83ed0ad85467f5 Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Fri, 6 Jan 2023 10:23:13 -0600 Subject: [PATCH 15/84] Update SDK (#40) --- README.md | 4 -- open_telemetry/worker.py | 15 +------- poetry.lock | 81 +++++----------------------------------- pyproject.toml | 2 +- 4 files changed, 13 insertions(+), 89 deletions(-) diff --git a/README.md b/README.md index e125b159..dc922a4e 100644 --- a/README.md +++ b/README.md @@ -2,10 +2,6 @@ This is the set of Python samples for the [Python SDK](https://github.com/temporalio/sdk-python). -**UNDER DEVELOPMENT** - -The Python SDK is under development. There are no compatibility guarantees nor proper documentation pages at this time. - ## Usage Prerequisites: diff --git a/open_telemetry/worker.py b/open_telemetry/worker.py index 6e1f26ca..3002213f 100644 --- a/open_telemetry/worker.py +++ b/open_telemetry/worker.py @@ -10,14 +10,9 @@ from opentelemetry.sdk.trace import TracerProvider from opentelemetry.sdk.trace.export import BatchSpanProcessor from temporalio import activity, workflow -from temporalio.bridge.runtime import ( - MetricsConfig, - OpenTelemetryConfig, - Runtime, - TelemetryConfig, -) from temporalio.client import Client from temporalio.contrib.opentelemetry import TracingInterceptor +from temporalio.runtime import OpenTelemetryConfig, Runtime, TelemetryConfig from temporalio.worker import Worker @@ -49,13 +44,7 @@ def init_runtime_with_telemetry() -> Runtime: # Setup SDK metrics to OTel endpoint return Runtime( telemetry=TelemetryConfig( - # TODO(cretz): Remove type ignore when - # https://github.com/temporalio/sdk-python/issues/198 fixed - metrics=MetricsConfig( # type: ignore - opentelemetry=OpenTelemetryConfig( - url="http://localhost:4317", headers={} - ) - ) + metrics=OpenTelemetryConfig(url="http://localhost:4317") ) ) diff --git a/poetry.lock b/poetry.lock index ee43e3b7..a82bbeac 100644 --- a/poetry.lock +++ b/poetry.lock @@ -189,20 +189,6 @@ category = "dev" optional = false python-versions = ">=3.7" -[[package]] -name = "grpcio" -version = "1.50.0" -description = "HTTP/2-based RPC framework" -category = "main" -optional = false -python-versions = ">=3.7" - -[package.dependencies] -six = ">=1.5.2" - -[package.extras] -protobuf = ["grpcio-tools (>=1.50.0)"] - [[package]] name = "idna" version = "3.4" @@ -508,22 +494,22 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" [[package]] name = "temporalio" -version = "0.1b4" +version = "1.0.0" description = "Temporal.io Python SDK" category = "main" optional = false python-versions = ">=3.7,<4.0" [package.dependencies] -grpcio = ">=1.48.0,<2.0.0" opentelemetry-api = {version = ">=1.11.1,<2.0.0", optional = true, markers = "extra == \"opentelemetry\""} opentelemetry-sdk = {version = ">=1.11.1,<2.0.0", optional = true, markers = "extra == \"opentelemetry\""} -protobuf = ">=3.19" +protobuf = ">=3.20" python-dateutil = {version = ">=2.8.2,<3.0.0", markers = "python_version < \"3.11\""} types-protobuf = ">=3.20,<3.21" typing-extensions = ">=4.2.0,<5.0.0" [package.extras] +grpc = ["grpcio (>=1.48.0,<2.0.0)"] opentelemetry = ["opentelemetry-api (>=1.11.1,<2.0.0)", "opentelemetry-sdk (>=1.11.1,<2.0.0)"] [[package]] @@ -623,7 +609,7 @@ testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools" [metadata] lock-version = "1.1" python-versions = "^3.7" -content-hash = "ad8c53c95774f95beba1d7acc1020738e3858935009ad64754fafb79fd4f520b" +content-hash = "8a2f56bce06a187e2b34cee8c69042025c980c47a3869a713f51d15dc50e8da8" [metadata.files] aiohttp = [ @@ -933,53 +919,6 @@ frozenlist = [ {file = "frozenlist-1.3.1-cp39-cp39-win_amd64.whl", hash = "sha256:625d8472c67f2d96f9a4302a947f92a7adbc1e20bedb6aff8dbc8ff039ca6189"}, {file = "frozenlist-1.3.1.tar.gz", hash = "sha256:3a735e4211a04ccfa3f4833547acdf5d2f863bfeb01cfd3edaffbc251f15cec8"}, ] -grpcio = [ - 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done = asyncio.Event() - # Heartbeat twice as often as the timeout heartbeat_timeout = activity.info().heartbeat_timeout + heartbeat_task = None if heartbeat_timeout: - asyncio.create_task( - heartbeat_every(heartbeat_timeout.total_seconds() / 2, done) + # Heartbeat twice as often as the timeout + heartbeat_task = asyncio.create_task( + heartbeat_every(heartbeat_timeout.total_seconds() / 2) ) try: return await fn(*args, **kwargs) finally: - done.set() + if heartbeat_task: + heartbeat_task.cancel() + # Wait for heartbeat cancellation to complete + await asyncio.wait([heartbeat_task]) return cast(F, wrapper) -async def heartbeat_every( - delay: float, done_event: asyncio.Event, *details: Any -) -> None: +async def heartbeat_every(delay: float, *details: Any) -> None: # Heartbeat every so often while not cancelled - while not done_event.is_set(): - try: - await asyncio.wait_for(done_event.wait(), delay) - except asyncio.TimeoutError: - print(f"Heartbeating at {datetime.now()}") - activity.heartbeat(*details) + while True: + await asyncio.sleep(delay) + print(f"Heartbeating at {datetime.now()}") + activity.heartbeat(*details) diff --git a/hello/hello_async_activity_completion.py b/hello/hello_async_activity_completion.py index e7362222..10aa89df 100644 --- a/hello/hello_async_activity_completion.py +++ b/hello/hello_async_activity_completion.py @@ -22,7 +22,14 @@ async def compose_greeting(self, input: ComposeGreetingInput) -> str: # Schedule a task to complete this asynchronously. This could be done in # a completely different process or system. print("Completing activity asynchronously") - asyncio.create_task(self.complete_greeting(activity.info().task_token, input)) + # Tasks stored by asyncio are weak references and therefore can get GC'd + # which can cause warnings like "Task was destroyed but it is pending!". + # So we store the tasks ourselves. + # See https://docs.python.org/3/library/asyncio-task.html#creating-tasks, + # https://bugs.python.org/issue21163 and others. + _ = asyncio.create_task( + self.complete_greeting(activity.info().task_token, input) + ) # Raise the complete-async error which will complete this function but # does not consider the activity complete from the workflow perspective From 1196d285fd78956c85bbc5d2d2ff7f09005a8b56 Mon Sep 17 00:00:00 2001 From: Samantha Santiago Date: Thu, 19 Jan 2023 10:17:31 -0600 Subject: [PATCH 17/84] Update doc links (#41) --- README.md | 2 +- encryption/README.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index dc922a4e..268e727b 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ Prerequisites: * Python >= 3.7 * [Poetry](https://python-poetry.org) -* [Local Temporal server running](https://docs.temporal.io/clusters/quick-install/) +* [Local Temporal server running](https://docs.temporal.io/application-development/foundations#run-a-development-cluster) With this repository cloned, run the following at the root of the directory: diff --git a/encryption/README.md b/encryption/README.md index 1675f027..b3e1de43 100644 --- a/encryption/README.md +++ b/encryption/README.md @@ -17,7 +17,7 @@ This will start the worker. Then, in another terminal, run the following to exec poetry run python starter.py -The workflow should complete with the hello result. To view the workflow, use [tctl](https://docs.temporal.io/tctl/): +The workflow should complete with the hello result. To view the workflow, use [tctl](https://docs.temporal.io/tctl-v1/): tctl workflow show --workflow_id encryption-workflow-id From 636af75ff851c5989b6b18334e583931d802bcc2 Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Mon, 23 Jan 2023 11:27:33 -0600 Subject: [PATCH 18/84] Pydantic converter sample (#44) Fixes #25 --- .github/workflows/ci.yml | 2 +- README.md | 1 + poetry.lock | 55 ++++++++++++- pydantic_converter/README.md | 31 +++++++ pydantic_converter/__init__.py | 0 pydantic_converter/converter.py | 56 +++++++++++++ pydantic_converter/starter.py | 39 +++++++++ pydantic_converter/worker.py | 98 +++++++++++++++++++++++ pyproject.toml | 6 +- tests/pydantic_converter/__init__.py | 0 tests/pydantic_converter/workflow_test.py | 46 +++++++++++ 11 files changed, 331 insertions(+), 3 deletions(-) create mode 100644 pydantic_converter/README.md create mode 100644 pydantic_converter/__init__.py create mode 100644 pydantic_converter/converter.py create mode 100644 pydantic_converter/starter.py create mode 100644 pydantic_converter/worker.py create mode 100644 tests/pydantic_converter/__init__.py create mode 100644 tests/pydantic_converter/workflow_test.py diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index c554f9d4..9f964a34 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -25,7 +25,7 @@ jobs: with: python-version: ${{ matrix.python }} - run: python -m pip install --upgrade wheel poetry poethepoet - - run: poetry install + - run: poetry install --with pydantic - run: poe lint - run: poe test -s -o log_cli_level=DEBUG - run: poe test -s -o log_cli_level=DEBUG --workflow-environment time-skipping diff --git a/README.md b/README.md index 268e727b..8bc36863 100644 --- a/README.md +++ b/README.md @@ -54,6 +54,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. * [encryption](encryption) - Apply end-to-end encryption for all input/output. * [open_telemetry](open_telemetry) - Trace workflows with OpenTelemetry. +* [pydantic_converter](pydantic_converter) - Data converter for using Pydantic models. * [sentry](sentry) - Report errors to Sentry. ## Test diff --git a/poetry.lock b/poetry.lock index a82bbeac..6b51ef9f 100644 --- a/poetry.lock +++ b/poetry.lock @@ -380,6 +380,21 @@ category = "dev" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +[[package]] +name = "pydantic" +version = "1.10.4" +description = "Data validation and settings management using python type hints" +category = "dev" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +typing-extensions = ">=4.2.0" + +[package.extras] +dotenv = ["python-dotenv (>=0.10.4)"] +email = ["email-validator 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+++ b/pydantic_converter/README.md @@ -0,0 +1,31 @@ +# Pydantic Converter Sample + +This sample shows how to create a custom Pydantic converter to properly serialize Pydantic models. + +For this sample, the optional `pydantic` dependency group must be included. To include, run: + + poetry install --with pydantic + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the +worker: + + poetry run python worker.py + +This will start the worker. Then, in another terminal, run the following to execute the workflow: + + poetry run python starter.py + +In the worker terminal, the workflow and its activity will log that it received the Pydantic models. In the starter +terminal, the Pydantic models in the workflow result will be logged. + +### Notes + +This is the preferred way to use Pydantic models with Temporal Python SDK. The converter code is small and meant to +embed into other projects. + +This sample also demonstrates use of `datetime` inside of Pydantic models. Due to a known issue with the Temporal +sandbox, this class is seen by Pydantic as `date` instead of `datetime` upon deserialization. This is due to a +[known Python issue](https://github.com/python/cpython/issues/89010) where, when we proxy the `datetime` class in the +sandbox to prevent non-deterministic calls like `now()`, `issubclass` fails for the proxy type causing Pydantic to think +it's a `date` instead. In `worker.py`, we have shown a workaround of disabling restrictions on `datetime` which solves +this issue but no longer protects against workflow developers making non-deterministic calls in that module. \ No newline at end of file diff --git a/pydantic_converter/__init__.py b/pydantic_converter/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pydantic_converter/converter.py b/pydantic_converter/converter.py new file mode 100644 index 00000000..a3c1cee6 --- /dev/null +++ b/pydantic_converter/converter.py @@ -0,0 +1,56 @@ +import json +from typing import Any, Optional + +from pydantic.json import pydantic_encoder +from temporalio.api.common.v1 import Payload +from temporalio.converter import ( + CompositePayloadConverter, + DataConverter, + DefaultPayloadConverter, + JSONPlainPayloadConverter, +) + + +class PydanticJSONPayloadConverter(JSONPlainPayloadConverter): + """Pydantic JSON payload converter. + + This extends the :py:class:`JSONPlainPayloadConverter` to override + :py:meth:`to_payload` using the Pydantic encoder. + """ + + def to_payload(self, value: Any) -> Optional[Payload]: + """Convert all values with Pydantic encoder or fail. + + Like the base class, we fail if we cannot convert. This payload + converter is expected to be the last in the chain, so it can fail if + unable to convert. + """ + # We let JSON conversion errors be thrown to caller + return Payload( + metadata={"encoding": self.encoding.encode()}, + data=json.dumps( + value, separators=(",", ":"), sort_keys=True, default=pydantic_encoder + ).encode(), + ) + + +class PydanticPayloadConverter(CompositePayloadConverter): + """Payload converter that replaces Temporal JSON conversion with Pydantic + JSON conversion. + """ + + def __init__(self) -> None: + super().__init__( + *( + c + if not isinstance(c, JSONPlainPayloadConverter) + else PydanticJSONPayloadConverter() + for c in DefaultPayloadConverter.default_encoding_payload_converters + ) + ) + + +pydantic_data_converter = DataConverter( + payload_converter_class=PydanticPayloadConverter +) +"""Data converter using Pydantic JSON conversion.""" diff --git a/pydantic_converter/starter.py b/pydantic_converter/starter.py new file mode 100644 index 00000000..5aceca6e --- /dev/null +++ b/pydantic_converter/starter.py @@ -0,0 +1,39 @@ +import asyncio +import logging +from datetime import datetime +from ipaddress import IPv4Address + +from temporalio.client import Client + +from pydantic_converter.converter import pydantic_data_converter +from pydantic_converter.worker import MyPydanticModel, MyWorkflow + + +async def main(): + logging.basicConfig(level=logging.INFO) + # Connect client using the Pydantic converter + client = await Client.connect( + "localhost:7233", data_converter=pydantic_data_converter + ) + + # Run workflow + result = await client.execute_workflow( + MyWorkflow.run, + [ + MyPydanticModel( + some_ip=IPv4Address("127.0.0.1"), + some_date=datetime(2000, 1, 2, 3, 4, 5), + ), + MyPydanticModel( + some_ip=IPv4Address("127.0.0.2"), + some_date=datetime(2001, 2, 3, 4, 5, 6), + ), + ], + id=f"pydantic_converter-workflow-id", + task_queue="pydantic_converter-task-queue", + ) + logging.info("Got models from client: %s" % result) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/pydantic_converter/worker.py b/pydantic_converter/worker.py new file mode 100644 index 00000000..b7e0bedf --- /dev/null +++ b/pydantic_converter/worker.py @@ -0,0 +1,98 @@ +import asyncio +import dataclasses +import logging +from datetime import datetime, timedelta +from ipaddress import IPv4Address +from typing import List + +from temporalio import activity, workflow +from temporalio.client import Client +from temporalio.worker import Worker +from temporalio.worker.workflow_sandbox import ( + SandboxedWorkflowRunner, + SandboxRestrictions, +) + +# We always want to pass through external modules to the sandbox that we know +# are safe for workflow use +with workflow.unsafe.imports_passed_through(): + from pydantic import BaseModel + + from pydantic_converter.converter import pydantic_data_converter + + +class MyPydanticModel(BaseModel): + some_ip: IPv4Address + some_date: datetime + + +@activity.defn +async def my_activity(models: List[MyPydanticModel]) -> List[MyPydanticModel]: + activity.logger.info("Got models in activity: %s" % models) + return models + + +@workflow.defn +class MyWorkflow: + @workflow.run + async def run(self, models: List[MyPydanticModel]) -> List[MyPydanticModel]: + workflow.logger.info("Got models in workflow: %s" % models) + return await workflow.execute_activity( + my_activity, models, start_to_close_timeout=timedelta(minutes=1) + ) + + +# Due to known issues with Pydantic's use of issubclass and our inability to +# override the check in sandbox, Pydantic will think datetime is actually date +# in the sandbox. At the expense of protecting against datetime.now() use in +# workflows, we're going to remove datetime module restrictions. See sdk-python +# README's discussion of known sandbox issues for more details. +def new_sandbox_runner() -> SandboxedWorkflowRunner: + # TODO(cretz): Use with_child_unrestricted when https://github.com/temporalio/sdk-python/issues/254 + # is fixed and released + invalid_module_member_children = dict( + SandboxRestrictions.invalid_module_members_default.children + ) + del invalid_module_member_children["datetime"] + return SandboxedWorkflowRunner( + restrictions=dataclasses.replace( + SandboxRestrictions.default, + invalid_module_members=dataclasses.replace( + SandboxRestrictions.invalid_module_members_default, + children=invalid_module_member_children, + ), + ) + ) + + +interrupt_event = asyncio.Event() + + +async def main(): + logging.basicConfig(level=logging.INFO) + # Connect client using the Pydantic converter + client = await Client.connect( + "localhost:7233", data_converter=pydantic_data_converter + ) + + # Run a worker for the workflow + async with Worker( + client, + task_queue="pydantic_converter-task-queue", + workflows=[MyWorkflow], + activities=[my_activity], + workflow_runner=new_sandbox_runner(), + ): + # Wait until interrupted + print("Worker started, ctrl+c to exit") + await interrupt_event.wait() + print("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/pyproject.toml b/pyproject.toml index 57c1c6fe..bf621774 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -39,6 +39,10 @@ optional = true temporalio = { version = "*", extras = ["opentelemetry"] } opentelemetry-exporter-jaeger-thrift = "^1.13.0" +[tool.poetry.group.pydantic] +optional = true +dependencies = { pydantic = "^1.10.4" } + [tool.poetry.group.sentry] optional = true dependencies = { sentry-sdk = "^1.11.0" } @@ -46,7 +50,7 @@ dependencies = { sentry-sdk = "^1.11.0" } [tool.poe.tasks] format = [{cmd = "black ."}, {cmd = "isort ."}] lint = [{cmd = "black --check ."}, {cmd = "isort --check-only ."}, {ref = "lint-types" }] -lint-types = "mypy --check-untyped-defs ." +lint-types = "mypy --check-untyped-defs --namespace-packages ." test = "pytest" [build-system] diff --git a/tests/pydantic_converter/__init__.py b/tests/pydantic_converter/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/pydantic_converter/workflow_test.py b/tests/pydantic_converter/workflow_test.py new file mode 100644 index 00000000..a547caf0 --- /dev/null +++ b/tests/pydantic_converter/workflow_test.py @@ -0,0 +1,46 @@ +import uuid +from datetime import datetime +from ipaddress import IPv4Address + +from temporalio.client import Client +from temporalio.worker import Worker + +from pydantic_converter.converter import pydantic_data_converter +from pydantic_converter.worker import ( + MyPydanticModel, + MyWorkflow, + my_activity, + new_sandbox_runner, +) + + +async def test_workflow_with_pydantic_model(client: Client): + # Replace data converter in client + new_config = client.config() + new_config["data_converter"] = pydantic_data_converter + client = Client(**new_config) + task_queue_name = str(uuid.uuid4()) + + orig_models = [ + MyPydanticModel( + some_ip=IPv4Address("127.0.0.1"), some_date=datetime(2000, 1, 2, 3, 4, 5) + ), + MyPydanticModel( + some_ip=IPv4Address("127.0.0.2"), some_date=datetime(2001, 2, 3, 4, 5, 6) + ), + ] + + async with Worker( + client, + task_queue=task_queue_name, + workflows=[MyWorkflow], + activities=[my_activity], + workflow_runner=new_sandbox_runner(), + ): + result = await client.execute_workflow( + MyWorkflow.run, + orig_models, + id=str(uuid.uuid4()), + task_queue=task_queue_name, + ) + assert orig_models == result From 0800779ba4a01d3b2f274faa5dd59a0347aa3c88 Mon Sep 17 00:00:00 2001 From: nediamond Date: Mon, 23 Jan 2023 14:28:58 -0800 Subject: [PATCH 19/84] Improve sentry workflow & activity interceptors (#46) --- sentry/interceptor.py | 73 +++++++++++++++++++------------------------ 1 file changed, 33 insertions(+), 40 deletions(-) diff --git a/sentry/interceptor.py b/sentry/interceptor.py index 178db35a..add281f5 100644 --- a/sentry/interceptor.py +++ b/sentry/interceptor.py @@ -1,7 +1,6 @@ from dataclasses import asdict, is_dataclass from typing import Any, Optional, Type, Union -import sentry_sdk from temporalio import activity, workflow from temporalio.worker import ( ActivityInboundInterceptor, @@ -12,66 +11,60 @@ WorkflowInterceptorClassInput, ) +with workflow.unsafe.imports_passed_through(): + from sentry_sdk import Hub, capture_exception, set_context, set_tag -def _set_common_workflow_tags( - info: Union[workflow.Info, activity.Info], scope: sentry_sdk.Scope -): - scope.set_tag("temporal.workflow.type", info.workflow_type) - scope.set_tag("temporal.workflow.id", info.workflow_id) + +def _set_common_workflow_tags(info: Union[workflow.Info, activity.Info]): + set_tag("temporal.workflow.type", info.workflow_type) + set_tag("temporal.workflow.id", info.workflow_id) class _SentryActivityInboundInterceptor(ActivityInboundInterceptor): async def execute_activity(self, input: ExecuteActivityInput) -> Any: - transaction_name = input.fn.__module__ + "." + input.fn.__qualname__ - scope_ctx_manager = sentry_sdk.configure_scope() - with scope_ctx_manager as scope, sentry_sdk.start_transaction( - name=transaction_name - ): - scope.set_tag("temporal.execution_type", "activity") + # https://docs.sentry.io/platforms/python/troubleshooting/#addressing-concurrency-issues + with Hub(Hub.current): + set_tag("temporal.execution_type", "activity") + set_tag("module", input.fn.__module__ + "." + input.fn.__qualname__) + activity_info = activity.info() - _set_common_workflow_tags(activity_info, scope) - scope.set_tag("temporal.activity.id", activity_info.activity_id) - scope.set_tag("temporal.activity.type", activity_info.activity_type) - scope.set_tag("temporal.activity.task_queue", activity_info.task_queue) - scope.set_tag( - "temporal.workflow.namespace", activity_info.workflow_namespace - ) - scope.set_tag("temporal.workflow.run_id", activity_info.workflow_run_id) + _set_common_workflow_tags(activity_info) + set_tag("temporal.activity.id", activity_info.activity_id) + set_tag("temporal.activity.type", activity_info.activity_type) + set_tag("temporal.activity.task_queue", activity_info.task_queue) + set_tag("temporal.workflow.namespace", activity_info.workflow_namespace) + set_tag("temporal.workflow.run_id", activity_info.workflow_run_id) try: return await super().execute_activity(input) except Exception as e: if len(input.args) == 1 and is_dataclass(input.args[0]): - scope.set_context("temporal.activity.input", asdict(input.args[0])) - scope.set_context("temporal.activity.info", activity.info().__dict__) - sentry_sdk.capture_exception(e) + set_context("temporal.activity.input", asdict(input.args[0])) + set_context("temporal.activity.info", activity.info().__dict__) + capture_exception() raise e - finally: - scope.clear() class _SentryWorkflowInterceptor(WorkflowInboundInterceptor): async def execute_workflow(self, input: ExecuteWorkflowInput) -> Any: - transaction_name = input.run_fn.__module__ + "." + input.run_fn.__qualname__ - scope_ctx_manager = sentry_sdk.configure_scope() - with scope_ctx_manager as scope, sentry_sdk.start_transaction( - name=transaction_name - ): - scope.set_tag("temporal.execution_type", "workflow") + # https://docs.sentry.io/platforms/python/troubleshooting/#addressing-concurrency-issues + with Hub(Hub.current): + set_tag("temporal.execution_type", "workflow") + set_tag("module", input.run_fn.__module__ + "." + input.run_fn.__qualname__) workflow_info = workflow.info() - _set_common_workflow_tags(workflow_info, scope) - scope.set_tag("temporal.workflow.task_queue", workflow_info.task_queue) - scope.set_tag("temporal.workflow.namespace", workflow_info.namespace) - scope.set_tag("temporal.workflow.run_id", workflow_info.run_id) + _set_common_workflow_tags(workflow_info) + set_tag("temporal.workflow.task_queue", workflow_info.task_queue) + set_tag("temporal.workflow.namespace", workflow_info.namespace) + set_tag("temporal.workflow.run_id", workflow_info.run_id) try: return await super().execute_workflow(input) except Exception as e: if len(input.args) == 1 and is_dataclass(input.args[0]): - scope.set_context("temporal.workflow.input", asdict(input.args[0])) - scope.set_context("temporal.workflow.info", workflow.info().__dict__) - sentry_sdk.capture_exception(e) + set_context("temporal.workflow.input", asdict(input.args[0])) + set_context("temporal.workflow.info", workflow.info().__dict__) + + if not workflow.unsafe.is_replaying(): + capture_exception() raise e - finally: - scope.clear() class SentryInterceptor(Interceptor): From 7b3944926c3743bc0dcb3b781d8cc64e0330bac4 Mon Sep 17 00:00:00 2001 From: nediamond Date: Tue, 24 Jan 2023 10:04:17 -0800 Subject: [PATCH 20/84] unrestrict sentry workflow interceptor sdk call (#47) --- sentry/interceptor.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/sentry/interceptor.py b/sentry/interceptor.py index add281f5..f1737ed2 100644 --- a/sentry/interceptor.py +++ b/sentry/interceptor.py @@ -63,7 +63,8 @@ async def execute_workflow(self, input: ExecuteWorkflowInput) -> Any: set_context("temporal.workflow.info", workflow.info().__dict__) if not workflow.unsafe.is_replaying(): - capture_exception() + with workflow.unsafe.sandbox_unrestricted(): + capture_exception() raise e From a4f0a05b64c2171332c88f3b595bed03b1623ab6 Mon Sep 17 00:00:00 2001 From: Oracen <73895482+Oracen@users.noreply.github.com> Date: Mon, 30 Jan 2023 23:37:09 +1000 Subject: [PATCH 21/84] Sticky activity queues (#45) Fixed #36 --- README.md | 1 + activity_sticky_queues/README.md | 52 +++++++ activity_sticky_queues/__init__.py | 0 activity_sticky_queues/demo_fs/.gitignore | 2 + activity_sticky_queues/starter.py | 29 ++++ .../all-activitites-on-same-task-queue.png | Bin 0 -> 311418 bytes activity_sticky_queues/tasks.py | 147 ++++++++++++++++++ activity_sticky_queues/worker.py | 74 +++++++++ tests/activity_sticky_queues/__init__.py | 0 .../activity_sticky_queues_activity_test.py | 35 +++++ .../activity_sticky_worker_workflow_test.py | 130 ++++++++++++++++ 11 files changed, 470 insertions(+) create mode 100644 activity_sticky_queues/README.md create mode 100644 activity_sticky_queues/__init__.py create mode 100644 activity_sticky_queues/demo_fs/.gitignore create mode 100644 activity_sticky_queues/starter.py create mode 100644 activity_sticky_queues/static/all-activitites-on-same-task-queue.png create mode 100644 activity_sticky_queues/tasks.py create mode 100644 activity_sticky_queues/worker.py create mode 100644 tests/activity_sticky_queues/__init__.py create mode 100644 tests/activity_sticky_queues/activity_sticky_queues_activity_test.py create mode 100644 tests/activity_sticky_queues/activity_sticky_worker_workflow_test.py diff --git a/README.md b/README.md index 8bc36863..e7cdb26e 100644 --- a/README.md +++ b/README.md @@ -49,6 +49,7 @@ Some examples require extra dependencies. See each sample's directory for specif while running. * [hello_signal](hello/hello_signal.py) - Send signals to a workflow. +* [activity_sticky_queue](activity_sticky_queue) - Uses unique task queues to ensure activities run on specific workers. * [activity_worker](activity_worker) - Use Python activities from a workflow in another language. * [custom_converter](custom_converter) - Use a custom payload converter to handle custom types. * [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. diff --git a/activity_sticky_queues/README.md b/activity_sticky_queues/README.md new file mode 100644 index 00000000..52c09a8c --- /dev/null +++ b/activity_sticky_queues/README.md @@ -0,0 +1,52 @@ +# Sticky Activity Queues + +This sample is a Python implementation of the [TypeScript "Sticky Workers" example](https://github.com/temporalio/samples-typescript/tree/main/activities-sticky-queues), full credit for the design to the authors of that sample. A [sticky execution](https://docs.temporal.io/tasks#sticky-execution) is a job distribution design pattern where all workflow computational tasks are executed on a single worker. In the Go and Java SDKs this is explicitly supported via the Session option, but in other SDKs a different approach is required. + +Typical use cases for sticky executions include tasks where interaction with a filesystem is required, such as data processing or interacting with legacy access structures. This example will write text files to folders corresponding to each worker, located in the `demo_fs` folder. In production, these folders would typically be independent machines in a worker cluster. + +This strategy is: +- Create a `get_available_task_queue` activity that generates a unique task queue name, `unique_worker_task_queue`. +- For activities intended to be "sticky", only register them in one Worker, and have that be the only Worker listening on that `unique_worker_task_queue`. This will be run on a series of `FileProcessing` workflows. +- Execute workflows from the Client like normal. Check the Temporal Web UI to confirm tasks were staying with their respective worker. + +It doesn't matter where the `get_available_task_queue` activity is run, so it can be "non sticky" as per Temporal default behavior. In this demo, `unique_worker_task_queue` is simply a `uuid` initialized in the Worker, but you can inject smart logic here to uniquely identify the Worker, [as Netflix did](https://community.temporal.io/t/using-dynamic-task-queues-for-traffic-routing/3045). Our example differs from the Node sample by running across 5 unique task queues. + +Activities have been artificially slowed with `time.sleep(3)` to simulate slow activities. + +### Running This Sample + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the +worker: + + poetry run python worker.py + +This will start the worker. Then, in another terminal, run the following to execute the workflow: + + poetry run python starter.py + +#### Example output: + +```bash +(temporalio-samples-py3.10) user@machine:~/samples-python/activities_sticky_queues$ poetry run python starter.py +Output checksums: +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +``` + +
+Checking the history to see where activities are run +All activities for the one workflow are running against the same task queue, which corresponds to unique workers: + +![image](./static/all-activitites-on-same-task-queue.png) + +
+ + diff --git a/activity_sticky_queues/__init__.py b/activity_sticky_queues/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/activity_sticky_queues/demo_fs/.gitignore b/activity_sticky_queues/demo_fs/.gitignore new file mode 100644 index 00000000..c96a04f0 --- /dev/null +++ b/activity_sticky_queues/demo_fs/.gitignore @@ -0,0 +1,2 @@ +* +!.gitignore \ No newline at end of file diff --git a/activity_sticky_queues/starter.py b/activity_sticky_queues/starter.py new file mode 100644 index 00000000..98c91bfc --- /dev/null +++ b/activity_sticky_queues/starter.py @@ -0,0 +1,29 @@ +import asyncio +from uuid import uuid4 + +from temporalio.client import Client + +from activity_sticky_queues.tasks import FileProcessing + + +async def main(): + # Connect client + client = await Client.connect("localhost:7233") + + # Start 10 concurrent workflows + futures = [] + for idx in range(10): + result = client.execute_workflow( + FileProcessing.run, + id=f"activity_sticky_queue-workflow-id-{idx}", + task_queue="activity_sticky_queue-distribution-queue", + ) + await asyncio.sleep(0.1) + futures.append(result) + + checksums = await asyncio.gather(*futures) + print("\n".join([f"Output checksums:"] + checksums)) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/activity_sticky_queues/static/all-activitites-on-same-task-queue.png b/activity_sticky_queues/static/all-activitites-on-same-task-queue.png new file mode 100644 index 0000000000000000000000000000000000000000..ef7855e73af16abb29aa78b6eb1b5eea20593932 GIT binary patch literal 311418 zcmeFZRa9JEwdJS{fBJs6 z?@K@QTdy%{uxstLXU#ob)*?bhNg55A2pI+j22EDxvlJ(3zvvzVnhwTuBE~5Lp zNW#^^#NEcpkwU}9!2(7DU_rsbM7hTg#nk2zHB7R;Cv>(DN4jon&vN5 zUr=kKA}BCdzZ4t4&}py2wHKnkyeIrf;bKSQE*VBdri3>U9kBZiUgVd=!%O^=5aKuD z;QQ;#i#*G*rm_8ztaJglwf*MuH}uLm!m=1%kQXtxRRClLM=>J&e;qPnM^VrBc5O?| z|LbgcxD34yb7}idf;_*=)@NlNda8eomyMnX9DUb8+P3y=GL+wJEhlP6$B;So(f=Lz 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dataclasses import dataclass +from datetime import timedelta +from hashlib import sha256 +from pathlib import Path + +from temporalio import activity, workflow +from temporalio.common import RetryPolicy + + +def _get_delay_secs() -> float: + return 3 + + +def _get_local_path() -> Path: + return Path(__file__).parent / "demo_fs" + + +def write_file(path: Path, body: str) -> None: + """Convenience write wrapper for mocking FS""" + with open(path, "w") as handle: + handle.write(body) + + +def read_file(path) -> bytes: + """Convenience read wrapper for mocking FS""" + with open(path, "rb") as handle: + return handle.read() + + +def delete_file(path) -> None: + """Convenience delete wrapper for mocking FS""" + Path(path).unlink() + + +def create_filepath(unique_worker_id: str, workflow_uuid: str) -> Path: + """Creates required folders and builds filepath""" + directory = _get_local_path() / unique_worker_id + directory.mkdir(parents=True, exist_ok=True) + filepath = directory / workflow_uuid + return filepath + + +def process_file_contents(file_content: bytes) -> str: + """Returns hash of file string""" + return sha256(file_content).hexdigest() + + +@dataclass +class DownloadObj: + url: str + unique_worker_id: str + workflow_uuid: str + + +@activity.defn +async def get_available_task_queue() -> str: + """Just a stub for typedworkflow invocation.""" + raise NotImplementedError + + +@activity.defn +async def download_file_to_worker_filesystem(details: DownloadObj) -> str: + """Simulates downloading a file to a local filesystem""" + # FS ops + path = create_filepath(details.unique_worker_id, details.workflow_uuid) + activity.logger.info(f"Downloading ${details.url} and saving to ${path}") + + # Here is where the real download code goes. Developers should be careful + # not to block an async activity. If there are concerns about blocking download + # or disk IO, developers should use loop.run_in_executor or change this activity + # to be synchronous. Also like for all non-immediate activities, be sure to + # heartbeat during download. + await asyncio.sleep(_get_delay_secs()) + body = "downloaded body" + write_file(path, body) + return str(path) + + +@activity.defn +async def work_on_file_in_worker_filesystem(path: str) -> str: + """Processing the file, in this case identical MD5 hashes""" + content = read_file(path) + checksum = process_file_contents(content) + await asyncio.sleep(_get_delay_secs()) + activity.logger.info(f"Did some work on {path}, checksum {checksum}") + return checksum + + +@activity.defn +async def clean_up_file_from_worker_filesystem(path: str) -> None: + """Deletes the file created in the first activity, but leaves the folder""" + await asyncio.sleep(_get_delay_secs()) + activity.logger.info(f"Removing {path}") + delete_file(path) + + +@workflow.defn +class FileProcessing: + @workflow.run + async def run(self) -> str: + """Workflow implementing the basic file processing example. + + First, a worker is selected randomly. This is the "sticky worker" on which + the workflow runs. This consists of a file download and some processing task, + with a file cleanup if an error occurs. + """ + workflow.logger.info("Searching for available worker") + unique_worker_task_queue = await workflow.execute_activity( + activity=get_available_task_queue, + start_to_close_timeout=timedelta(seconds=10), + ) + workflow.logger.info(f"Matching workflow to worker {unique_worker_task_queue}") + + download_params = DownloadObj( + url="http://temporal.io", + unique_worker_id=unique_worker_task_queue, + workflow_uuid=str(workflow.uuid4()), + ) + + download_path = await workflow.execute_activity( + download_file_to_worker_filesystem, + download_params, + start_to_close_timeout=timedelta(seconds=10), + task_queue=unique_worker_task_queue, + ) + + checksum = "failed execution" # Sentinel value + try: + checksum = await workflow.execute_activity( + work_on_file_in_worker_filesystem, + download_path, + start_to_close_timeout=timedelta(seconds=10), + retry_policy=RetryPolicy( + maximum_attempts=1, + # maximum_interval=timedelta(milliseconds=500), + ), + task_queue=unique_worker_task_queue, + ) + finally: + await workflow.execute_activity( + clean_up_file_from_worker_filesystem, + download_path, + start_to_close_timeout=timedelta(seconds=10), + task_queue=unique_worker_task_queue, + ) + return checksum diff --git a/activity_sticky_queues/worker.py b/activity_sticky_queues/worker.py new file mode 100644 index 00000000..721daa47 --- /dev/null +++ b/activity_sticky_queues/worker.py @@ -0,0 +1,74 @@ +import asyncio +import logging # noqa +import random +from typing import List +from uuid import UUID + +from temporalio import activity +from temporalio.client import Client +from temporalio.worker import Worker + +from activity_sticky_queues import tasks + +interrupt_event = asyncio.Event() + + +async def main(): + # Uncomment the line below to see logging + # logging.basicConfig(level=logging.INFO) + + # Comment line to see non-deterministic functionality + random.seed(667) + + # Create random task queues and build task queue selection function + task_queues: List[str] = [ + f"activity_sticky_queue-host-{UUID(int=random.getrandbits(128))}" + for _ in range(5) + ] + + @activity.defn(name="get_available_task_queue") + async def select_task_queue_random() -> str: + """Randomly assign the job to a queue""" + return random.choice(task_queues) + + # Start client + client = await Client.connect("localhost:7233") + + # Run a worker to distribute the workflows + run_futures = [] + handle = Worker( + client, + task_queue="activity_sticky_queue-distribution-queue", + workflows=[tasks.FileProcessing], + activities=[select_task_queue_random], + ) + run_futures.append(handle.run()) + print("Base worker started") + + # Run the workers for the individual task queues + for queue_id in task_queues: + handle = Worker( + client, + task_queue=queue_id, + activities=[ + tasks.download_file_to_worker_filesystem, + tasks.work_on_file_in_worker_filesystem, + tasks.clean_up_file_from_worker_filesystem, + ], + ) + run_futures.append(handle.run()) + # Wait until interrupted + print(f"Worker {queue_id} started") + + print("All workers started, ctrl+c to exit") + await asyncio.gather(*run_futures) + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) + print("\nShutting down workers") diff --git a/tests/activity_sticky_queues/__init__.py b/tests/activity_sticky_queues/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/activity_sticky_queues/activity_sticky_queues_activity_test.py b/tests/activity_sticky_queues/activity_sticky_queues_activity_test.py new file mode 100644 index 00000000..8a0889a7 --- /dev/null +++ b/tests/activity_sticky_queues/activity_sticky_queues_activity_test.py @@ -0,0 +1,35 @@ +from pathlib import Path +from unittest import mock + +from activity_sticky_queues import tasks + +RETURNED_PATH = "valid/path" +tasks._get_delay_secs = mock.MagicMock(return_value=0.0001) +tasks._get_local_path = mock.MagicMock(return_value=Path(RETURNED_PATH)) + + +async def test_download_activity(): + worker_id = "an-id" + workflow_uuid = "uuid" + want = Path(RETURNED_PATH) / worker_id / workflow_uuid + + details = tasks.DownloadObj("tdd.com", worker_id, workflow_uuid) + with mock.patch.object(tasks, "write_file") as mock_write: + response = await tasks.download_file_to_worker_filesystem(details) + assert Path(response) == want + mock_write.assert_called_once() + + +async def test_processing_activity(): + file_contents = b"contents" + want = tasks.process_file_contents(file_contents) + + with mock.patch.object(tasks, "read_file", return_value=file_contents): + response = await tasks.work_on_file_in_worker_filesystem(RETURNED_PATH) + assert response == want + + +async def test_clean_up_activity(): + with mock.patch.object(tasks, "delete_file") as mock_delete: + await tasks.clean_up_file_from_worker_filesystem(RETURNED_PATH) + mock_delete.assert_called_once_with(RETURNED_PATH) diff --git a/tests/activity_sticky_queues/activity_sticky_worker_workflow_test.py b/tests/activity_sticky_queues/activity_sticky_worker_workflow_test.py new file mode 100644 index 00000000..58ba824c --- /dev/null +++ b/tests/activity_sticky_queues/activity_sticky_worker_workflow_test.py @@ -0,0 +1,130 @@ +import random +import uuid +from typing import Dict, List +from unittest import mock + +import pytest +from temporalio import activity, exceptions +from temporalio.client import Client, WorkflowFailureError +from temporalio.testing import WorkflowEnvironment +from temporalio.worker import Worker + +from activity_sticky_queues import tasks + +CHECKSUM = "a checksum" +RETURNED_PATH = "valid/path" + + +def check_sticky_activity_count(history: List[Dict], nonsticky_queue: str): + outputs = set() + for item in history: + if item.get("eventType", None) != "EVENT_TYPE_ACTIVITY_TASK_SCHEDULED": + continue + queue = item["activityTaskScheduledEventAttributes"]["taskQueue"]["name"] + if queue != nonsticky_queue: + outputs.add(queue) + + # handle lazy cases where all tasks assigned to the same worker + return len(outputs) if len(outputs) > 1 else 1 + + +@activity.defn(name="download_file_to_worker_filesystem") +async def mock_download(details: tasks.DownloadObj) -> str: + return RETURNED_PATH + + +@activity.defn(name="work_on_file_in_worker_filesystem") +async def mock_work(path: str) -> str: + return CHECKSUM + + +@activity.defn(name="work_on_file_in_worker_filesystem") +async def mock_work_fail(path: str) -> str: + raise exceptions.ApplicationError("testing graceful failure") + + +@activity.defn(name="clean_up_file_from_worker_filesystem") +async def mock_cleanup(path: str) -> None: + pass + + +async def test_processing_fails_gracefully(client: Client): + task_queue_name = str(uuid.uuid4()) + + @activity.defn(name="get_available_task_queue") + async def mock_task_queue(): + return task_queue_name + + async with Worker( + client, + task_queue=task_queue_name, + workflows=[tasks.FileProcessing], + activities=[ + mock_download, + mock_work_fail, + tasks.clean_up_file_from_worker_filesystem, + mock_task_queue, + ], + ): + exception_catch = pytest.raises(WorkflowFailureError) + with exception_catch, mock.patch.object(tasks, "delete_file") as mock_del: + await client.execute_workflow( + tasks.FileProcessing.run, + id=str(uuid.uuid4()), + task_queue=task_queue_name, + ) + mock_del.assert_called_once() + + +async def test_worker_runs(client: Client, env: WorkflowEnvironment): + if env.supports_time_skipping: + pytest.skip("Test server doesn't support listing workflows") + task_queue_name_distribution = str(uuid.uuid4()) + task_queue_workers = [str(uuid.uuid4()) for _ in range(3)] + + @activity.defn(name="get_available_task_queue") + async def mock_task_queue(): + return random.choice(task_queue_workers) + + worker_distribution = Worker( + client, + task_queue=task_queue_name_distribution, + workflows=[tasks.FileProcessing], + activities=[ + mock_task_queue, + ], + ) + worker_1, worker_2, worker_3 = [ + Worker( + client, + task_queue=queue, + activities=[ + mock_download, + mock_work, + mock_cleanup, + ], + ) + for queue in task_queue_workers + ] + + # Should execute all fine + # p(pass| should fail) = 0.333 ^ (n_workers * n_iters)~ 6e-8 + workflow_ids = [str(uuid.uuid4()) for _ in range(5)] + async with worker_distribution, worker_1, worker_2, worker_3: + for workflow_id in workflow_ids: + result = await client.execute_workflow( + tasks.FileProcessing.run, + id=workflow_id, + task_queue=task_queue_name_distribution, + ) + assert result == CHECKSUM + # Check all events take place on the same random worker + workflow_executions = { + check_sticky_activity_count( + item.to_json_dict()["events"], task_queue_name_distribution + ) + async for item in client.list_workflows().map_histories() + } + + # Each history has only a single sticky worker associated + assert workflow_executions == {1} From f5d9380afbd4bae302bd2ec601a88e2473c6f713 Mon Sep 17 00:00:00 2001 From: Keith Tenzer Date: Wed, 1 Mar 2023 11:44:58 -0800 Subject: [PATCH 22/84] Added sample for demonstrating how to patch a workflow (#57) --- hello/hello_patch.py | 144 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 144 insertions(+) create mode 100644 hello/hello_patch.py diff --git a/hello/hello_patch.py b/hello/hello_patch.py new file mode 100644 index 00000000..43371d4f --- /dev/null +++ b/hello/hello_patch.py @@ -0,0 +1,144 @@ +import asyncio +import logging +import sys +from dataclasses import dataclass +from datetime import timedelta + +from temporalio import activity, exceptions, workflow +from temporalio.client import Client +from temporalio.worker import Worker + + +# While we could use multiple parameters in the activity, Temporal strongly +# encourages using a single dataclass instead which can have fields added to it +# in a backwards-compatible way. +@dataclass +class ComposeGreetingInput: + greeting: str + name: str + + +# Basic activity that logs and does string concatenation +@activity.defn +async def compose_greeting(input: ComposeGreetingInput) -> str: + activity.logger.info("Running activity with parameter %s" % input) + return f"{input.greeting}, {input.name}!" + + +# V1 of patch-workflow +@workflow.defn(name="patch-workflow") +class MyWorkflow: + @workflow.run + async def run(self, name: str) -> str: + workflow.logger.info("Running patch-workflow with parameter %s" % name) + greeting = await workflow.execute_activity( + compose_greeting, + ComposeGreetingInput("Hello", name), + start_to_close_timeout=timedelta(seconds=70), + ) + return greeting + + +# V2 of patch-workflow using patched where we have changed newly started +# workflow behavior without changing the behavior of currently running workflows +@workflow.defn(name="patch-workflow") +class MyWorkflowPatched: + @workflow.run + async def run(self, name: str) -> str: + workflow.logger.info("Running patch-workflow with parameter %s" % name) + if workflow.patched("my-patch-v2"): + greeting = await workflow.execute_activity( + compose_greeting, + ComposeGreetingInput("Goodbye", name), + start_to_close_timeout=timedelta(seconds=70), + ) + + await asyncio.sleep(10) + return greeting + else: + greeting = await workflow.execute_activity( + compose_greeting, + ComposeGreetingInput("Hello", name), + start_to_close_timeout=timedelta(seconds=70), + ) + return greeting + + +# V3 of patch-workflow using deprecate_patch where all the old V1 workflows +# have completed, we no longer need to preserve V1 and now just have V2 +@workflow.defn(name="patch-worklow") +class MyWorkflowPatchDeprecated: + @workflow.run + async def run(self, name: str) -> str: + workflow.logger.info("Running patch-workflow with parameter %s" % name) + workflow.deprecate_patch("my-patch-v2") + greeting = await workflow.execute_activity( + compose_greeting, + ComposeGreetingInput("Goodbye", name), + start_to_close_timeout=timedelta(seconds=70), + ) + + await asyncio.sleep(10) + return greeting + + +async def main(): + # Check Args + if len(sys.argv) > 2: + print(f"Incorrect arguments: {sys.argv[0]} v1|v2|v3") + exit() + if len(sys.argv) <= 1: + print(f"Incorrect arguments: {sys.argv[0]} v1|v2|v3v3") + exit() + if sys.argv[1] != "v1" and sys.argv[1] != "v2" and sys.argv[1] != "v3": + print(f"Incorrect arguments: {sys.argv[0]} v1|v2|v3") + exit() + + version = sys.argv[1] + + # Uncomment the line below to see logging + # logging.basicConfig(level=logging.INFO) + + # Start client + client = await Client.connect("localhost:7233") + + # Set workflow_class to the proper class based on version + workflow_class = "" + if version == "v1": + workflow_class = MyWorkflow # type: ignore + elif version == "v2": + workflow_class = MyWorkflowPatched # type: ignore + elif version == "v3": + workflow_class = MyWorkflowPatchDeprecated # type: ignore + else: + print(f"Incorrect arguments: {sys.argv[0]} v1|v2|v3") + exit() + + # While the worker is running, use the client to run the workflow and + # print out its result. Check if the workflow is already running and + # if so wait for the existing run to complete. Note, in many production setups, + # the client would be in a completely separate process from the worker. + async with Worker( + client, + task_queue="hello-patch-task-queue", + workflows=[workflow_class], # type: ignore + activities=[compose_greeting], + ): + try: + result = await client.execute_workflow( + workflow_class.run, # type: ignore + "World", + id="hello-patch-workflow-id", + task_queue="hello-patch-task-queue", + ) + print(f"Result: {result}") + except exceptions.WorkflowAlreadyStartedError: + print(f"Workflow already running") + result = await client.get_workflow_handle( + "hello-patch-workflow-id" + ).result() + print(f"Result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) From e99b986d5ba31be97c420933b7e9882d465bc8b6 Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Fri, 24 Mar 2023 12:39:34 -0700 Subject: [PATCH 23/84] Set Poetry version to 1.4.0 (#64) --- .github/workflows/ci.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 9f964a34..fae3c740 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -24,7 +24,9 @@ jobs: - uses: actions/setup-python@v1 with: python-version: ${{ matrix.python }} - - run: python -m pip install --upgrade wheel poetry poethepoet + # Using fixed Poetry version until + # https://github.com/python-poetry/poetry/pull/7694 is fixed + - run: python -m pip install --upgrade wheel "poetry==1.4.0" poethepoet - run: poetry install --with pydantic - run: poe lint - run: poe test -s -o log_cli_level=DEBUG From 867a870ce963bee4c9f2c2b28e8aa9a957819179 Mon Sep 17 00:00:00 2001 From: Patrick Rachford <64233065+rachfop@users.noreply.github.com> Date: Fri, 24 Mar 2023 14:58:21 -0700 Subject: [PATCH 24/84] Fixes Task Queue name on the Encryption (#63) --- encryption/starter.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/encryption/starter.py b/encryption/starter.py index 7a64060f..4c39f553 100644 --- a/encryption/starter.py +++ b/encryption/starter.py @@ -23,7 +23,7 @@ async def main(): GreetingWorkflow.run, "Temporal", id=f"encryption-workflow-id", - task_queue="encryption", + task_queue="encryption-task-queue", ) print(f"Workflow result: {result}") From 4a602ff6d97679c1c0ebd96b207e12d2a0402741 Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Wed, 29 Mar 2023 12:13:40 -0700 Subject: [PATCH 25/84] More Python samples (#65) Fixes #53 Fixes #58 Fixes #59 --- README.md | 4 + hello/README.md | 2 + hello/hello_activity_method.py | 62 ++++++++++++++++ patching/README.md | 97 +++++++++++++++++++++++++ patching/__init__.py | 0 patching/activities.py | 11 +++ patching/starter.py | 34 +++++++++ patching/worker.py | 54 ++++++++++++++ patching/workflow_1_initial.py | 20 +++++ patching/workflow_2_patched.py | 26 +++++++ patching/workflow_3_patch_deprecated.py | 21 ++++++ patching/workflow_4_patch_complete.py | 20 +++++ prometheus/README.md | 17 +++++ prometheus/__init__.py | 0 prometheus/starter.py | 39 ++++++++++ prometheus/worker.py | 69 ++++++++++++++++++ 16 files changed, 476 insertions(+) create mode 100644 hello/hello_activity_method.py create mode 100644 patching/README.md create mode 100644 patching/__init__.py create mode 100644 patching/activities.py create mode 100644 patching/starter.py create mode 100644 patching/worker.py create mode 100644 patching/workflow_1_initial.py create mode 100644 patching/workflow_2_patched.py create mode 100644 patching/workflow_3_patch_deprecated.py create mode 100644 patching/workflow_4_patch_complete.py create mode 100644 prometheus/README.md create mode 100644 prometheus/__init__.py create mode 100644 prometheus/starter.py create mode 100644 prometheus/worker.py diff --git a/README.md b/README.md index e7cdb26e..6aacdd44 100644 --- a/README.md +++ b/README.md @@ -27,6 +27,8 @@ Some examples require extra dependencies. See each sample's directory for specif * [hello_activity](hello/hello_activity.py) - Execute an activity from a workflow. * [hello_activity_choice](hello/hello_activity_choice.py) - Execute certain activities inside a workflow based on dynamic input. + * [hello_activity_method](hello/hello_activity_method.py) - Demonstrate an activity that is an instance method on a + class and can access class state. * [hello_activity_multiprocess](hello/hello_activity_multiprocess.py) - Execute a synchronous activity on a process pool. * [hello_activity_retry](hello/hello_activity_retry.py) - Demonstrate activity retry by failing until a certain number @@ -55,6 +57,8 @@ Some examples require extra dependencies. See each sample's directory for specif * [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. * [encryption](encryption) - Apply end-to-end encryption for all input/output. * [open_telemetry](open_telemetry) - Trace workflows with OpenTelemetry. +* [patching](patching) - Alter workflows safely with `patch` and `deprecate_patch`. +* [prometheus](prometheus) - Configure Prometheus metrics on clients/workers. * [pydantic_converter](pydantic_converter) - Data converter for using Pydantic models. * [sentry](sentry) - Report errors to Sentry. diff --git a/hello/README.md b/hello/README.md index 01ff22e9..83f25fbd 100644 --- a/hello/README.md +++ b/hello/README.md @@ -19,6 +19,8 @@ Replace `hello_activity.py` in the command with any other example filename to r * [hello_activity](hello_activity.py) - Execute an activity from a workflow. * [hello_activity_choice](hello_activity_choice.py) - Execute certain activities inside a workflow based on dynamic input. +* [hello_activity_method](hello/hello_activity_method.py) - Demonstrate an activity that is an instance method on a + class and can access class state. * [hello_activity_multiprocess](hello_activity_multiprocess.py) - Execute a synchronous activity on a process pool. * [hello_activity_retry](hello_activity_retry.py) - Demonstrate activity retry by failing until a certain number of attempts. diff --git a/hello/hello_activity_method.py b/hello/hello_activity_method.py new file mode 100644 index 00000000..db527263 --- /dev/null +++ b/hello/hello_activity_method.py @@ -0,0 +1,62 @@ +import asyncio +from datetime import timedelta + +from temporalio import activity, workflow +from temporalio.client import Client +from temporalio.worker import Worker + + +class MyDatabaseClient: + async def run_database_update(self) -> None: + print("Database update executed") + + +class MyActivities: + def __init__(self, db_client: MyDatabaseClient) -> None: + self.db_client = db_client + + @activity.defn + async def do_database_thing(self) -> None: + await self.db_client.run_database_update() + + +@workflow.defn +class MyWorkflow: + @workflow.run + async def run(self) -> None: + await workflow.execute_activity_method( + MyActivities.do_database_thing, + start_to_close_timeout=timedelta(seconds=10), + ) + + +async def main(): + # Start client + client = await Client.connect("localhost:7233") + + # Create our database client that can then be used in the activity + db_client = MyDatabaseClient() + # Instantiate our class containing state that can be referenced from + # activity methods + my_activities = MyActivities(db_client) + + # Run a worker for the workflow + async with Worker( + client, + task_queue="hello-activity-method-task-queue", + workflows=[MyWorkflow], + activities=[my_activities.do_database_thing], + ): + + # While the worker is running, use the client to run the workflow and + # print out its result. Note, in many production setups, the client + # would be in a completely separate process from the worker. + await client.execute_workflow( + MyWorkflow.run, + id="hello-activity-method-workflow-id", + task_queue="hello-activity-method-task-queue", + ) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/patching/README.md b/patching/README.md new file mode 100644 index 00000000..61106f31 --- /dev/null +++ b/patching/README.md @@ -0,0 +1,97 @@ +# Patching Sample + +This sample shows how to safely alter a workflow using `patched` and `deprecate_patch` in stages. + +To run, first see [README.md](../README.md) for prerequisites. Then follow the patching stages below. + +### Stage 1 - Initial code + +This stage is for existing running workflows. To simulate our initial workflow, run the worker in a separate terminal: + + poetry run python worker.py --workflow initial + +Now we can start this workflow: + + poetry run python starter.py --start-workflow initial-workflow-id + +This will output "Started workflow with ID initial-workflow-id and ...". Now query this workflow: + + poetry run python starter.py --query-workflow initial-workflow-id + +This will output "Query result for ID initial-workflow-id: pre-patch". + +### Stage 2 - Patch the workflow + +This stage is for needing to run old and new workflows at the same time. To simulate our patched workflow, stop the +worker from before and start it again with the patched workflow: + + poetry run python worker.py --workflow patched + +Now let's start another workflow with this patched code: + + poetry run python starter.py --start-workflow patched-workflow-id + +This will output "Started workflow with ID patched-workflow-id and ...". Now query the old workflow that's still +running: + + poetry run python starter.py --query-workflow initial-workflow-id + +This will output "Query result for ID initial-workflow-id: pre-patch" since it is pre-patch. But if we execute a query +against the new code: + + poetry run python starter.py --query-workflow patched-workflow-id + +We get "Query result for ID patched-workflow-id: post-patch". This is how old workflow code can take old paths and new +workflow code can take new paths. + +### Stage 3 - Deprecation + +Once we know that all workflows that started with the initial code from "Stage 1" are no longer running, we don't need +the patch so we can deprecate it. To use the patch deprecated workflow, stop the workflow from before and start it again +with: + + poetry run python worker.py --workflow patch-deprecated + +All workflows in "Stage 2" and any new workflows will work. Now let's start another workflow with this patch deprecated +code: + + poetry run python starter.py --start-workflow patch-deprecated-workflow-id + +This will output "Started workflow with ID patch-deprecated-workflow-id and ...". Now query the patched workflow that's +still running: + + poetry run python starter.py --query-workflow patched-workflow-id + +This will output "Query result for ID patched-workflow-id: post-patch". And if we execute a query against the latest +workflow: + + poetry run python starter.py --query-workflow patch-deprecated-workflow-id + +As expected, this will output "Query result for ID patch-deprecated-workflow-id: post-patch". + +### Stage 4 - Patch complete + +Once we know we don't even have any workflows running on "Stage 2" or before (i.e. the workflow with the patch with +both code paths), we can just remove the patch deprecation altogether. To use the patch complete workflow, stop the +workflow from before and start it again with: + + poetry run python worker.py --workflow patch-complete + +All workflows in "Stage 3" and any new workflows will work. Now let's start another workflow with this patch complete +code: + + poetry run python starter.py --start-workflow patch-complete-workflow-id + +This will output "Started workflow with ID patch-complete-workflow-id and ...". Now query the patch deprecated workflow +that's still running: + + poetry run python starter.py --query-workflow patch-deprecated-workflow-id + +This will output "Query result for ID patch-deprecated-workflow-id: post-patch". And if we execute a query against the +latest workflow: + + poetry run python starter.py --query-workflow patch-complete-workflow-id + +As expected, this will output "Query result for ID patch-complete-workflow-id: post-patch". + +Following these stages, we have successfully altered our workflow code. \ No newline at end of file diff --git a/patching/__init__.py b/patching/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/patching/activities.py b/patching/activities.py new file mode 100644 index 00000000..de3d1eba --- /dev/null +++ b/patching/activities.py @@ -0,0 +1,11 @@ +from temporalio import activity + + +@activity.defn +async def pre_patch_activity() -> str: + return "pre-patch" + + +@activity.defn +async def post_patch_activity() -> str: + return "post-patch" diff --git a/patching/starter.py b/patching/starter.py new file mode 100644 index 00000000..9e6d7f31 --- /dev/null +++ b/patching/starter.py @@ -0,0 +1,34 @@ +import argparse +import asyncio + +from temporalio.client import Client + +# Since it's just used for typing purposes, it doesn't matter which one we +# import +from patching.workflow_1_initial import MyWorkflow + + +async def main(): + parser = argparse.ArgumentParser(description="Run worker") + parser.add_argument("--start-workflow", help="Start workflow with this ID") + parser.add_argument("--query-workflow", help="Query workflow with this ID") + args = parser.parse_args() + if not args.start_workflow and not args.query_workflow: + raise RuntimeError("Either --start-workflow or --query-workflow is required") + + # Connect client + client = await Client.connect("localhost:7233") + + if args.start_workflow: + handle = await client.start_workflow( + MyWorkflow.run, id=args.start_workflow, task_queue="patching-task-queue" + ) + print(f"Started workflow with ID {handle.id} and run ID {handle.result_run_id}") + if args.query_workflow: + handle = client.get_workflow_handle_for(MyWorkflow.run, args.query_workflow) + result = await handle.query(MyWorkflow.result) + print(f"Query result for ID {handle.id}: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/patching/worker.py b/patching/worker.py new file mode 100644 index 00000000..8f1e3c82 --- /dev/null +++ b/patching/worker.py @@ -0,0 +1,54 @@ +import argparse +import asyncio + +from temporalio.client import Client +from temporalio.worker import Worker + +from patching.activities import post_patch_activity, pre_patch_activity + +interrupt_event = asyncio.Event() + + +async def main(): + # Import which workflow based on CLI arg + parser = argparse.ArgumentParser(description="Run worker") + parser.add_argument( + "--workflow", + help="Which workflow. Can be 'initial', 'patched', 'patch-deprecated', or 'patch-complete'", + required=True, + ) + args = parser.parse_args() + if args.workflow == "initial": + from patching.workflow_1_initial import MyWorkflow + elif args.workflow == "patched": + from patching.workflow_2_patched import MyWorkflow # type: ignore + elif args.workflow == "patch-deprecated": + from patching.workflow_3_patch_deprecated import MyWorkflow # type: ignore + elif args.workflow == "patch-complete": + from patching.workflow_4_patch_complete import MyWorkflow # type: ignore + else: + raise RuntimeError("Unrecognized workflow") + + # Connect client + client = await Client.connect("localhost:7233") + + # Run a worker for the workflow + async with Worker( + client, + task_queue="patching-task-queue", + workflows=[MyWorkflow], + activities=[pre_patch_activity, post_patch_activity], + ): + # Wait until interrupted + print("Worker started") + await interrupt_event.wait() + print("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/patching/workflow_1_initial.py b/patching/workflow_1_initial.py new file mode 100644 index 00000000..3be0ba28 --- /dev/null +++ b/patching/workflow_1_initial.py @@ -0,0 +1,20 @@ +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from patching.activities import pre_patch_activity + + +@workflow.defn +class MyWorkflow: + @workflow.run + async def run(self) -> None: + self._result = await workflow.execute_activity( + pre_patch_activity, + schedule_to_close_timeout=timedelta(minutes=5), + ) + + @workflow.query + def result(self) -> str: + return self._result diff --git a/patching/workflow_2_patched.py b/patching/workflow_2_patched.py new file mode 100644 index 00000000..f1e6bbae --- /dev/null +++ b/patching/workflow_2_patched.py @@ -0,0 +1,26 @@ +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from patching.activities import post_patch_activity, pre_patch_activity + + +@workflow.defn +class MyWorkflow: + @workflow.run + async def run(self) -> None: + if workflow.patched("my-patch"): + self._result = await workflow.execute_activity( + post_patch_activity, + schedule_to_close_timeout=timedelta(minutes=5), + ) + else: + self._result = await workflow.execute_activity( + pre_patch_activity, + schedule_to_close_timeout=timedelta(minutes=5), + ) + + @workflow.query + def result(self) -> str: + return self._result diff --git a/patching/workflow_3_patch_deprecated.py b/patching/workflow_3_patch_deprecated.py new file mode 100644 index 00000000..d226a47f --- /dev/null +++ b/patching/workflow_3_patch_deprecated.py @@ -0,0 +1,21 @@ +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from patching.activities import post_patch_activity + + +@workflow.defn +class MyWorkflow: + @workflow.run + async def run(self) -> None: + workflow.deprecate_patch("my-patch") + self._result = await workflow.execute_activity( + post_patch_activity, + schedule_to_close_timeout=timedelta(minutes=5), + ) + + @workflow.query + def result(self) -> str: + return self._result diff --git a/patching/workflow_4_patch_complete.py b/patching/workflow_4_patch_complete.py new file mode 100644 index 00000000..3a9e6595 --- /dev/null +++ b/patching/workflow_4_patch_complete.py @@ -0,0 +1,20 @@ +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from patching.activities import post_patch_activity + + +@workflow.defn +class MyWorkflow: + @workflow.run + async def run(self) -> None: + self._result = await workflow.execute_activity( + post_patch_activity, + schedule_to_close_timeout=timedelta(minutes=5), + ) + + @workflow.query + def result(self) -> str: + return self._result diff --git a/prometheus/README.md b/prometheus/README.md new file mode 100644 index 00000000..6f605d62 --- /dev/null +++ b/prometheus/README.md @@ -0,0 +1,17 @@ +# Prometheus Sample + +This sample shows how to have SDK Prometheus metrics made available via HTTP. + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the +worker: + + poetry run python worker.py + +This will start the worker and the metrics will be visible for this process at http://127.0.0.1:9000/metrics. + +Then, in another terminal, run the following to execute a workflow: + + poetry run python starter.py + +After executing the workflow, the process will stay open so the metrics if this separate process can be accessed at +http://127.0.0.1:9001/metrics. \ No newline at end of file diff --git a/prometheus/__init__.py b/prometheus/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/prometheus/starter.py b/prometheus/starter.py new file mode 100644 index 00000000..b94f5601 --- /dev/null +++ b/prometheus/starter.py @@ -0,0 +1,39 @@ +import asyncio + +from temporalio.client import Client + +from prometheus.worker import GreetingWorkflow, init_runtime_with_prometheus + +interrupt_event = asyncio.Event() + + +async def main(): + runtime = init_runtime_with_prometheus(9001) + + # Connect client + client = await Client.connect( + "localhost:7233", + runtime=runtime, + ) + + # Run workflow + result = await client.execute_workflow( + GreetingWorkflow.run, + "Temporal", + id="prometheus-workflow-id", + task_queue="prometheus-task-queue", + ) + print(f"Workflow result: {result}") + print( + "Prometheus client metrics available at http://127.0.0.1:9001/metrics, ctrl+c to exit" + ) + await interrupt_event.wait() + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/prometheus/worker.py b/prometheus/worker.py new file mode 100644 index 00000000..5e7d64ab --- /dev/null +++ b/prometheus/worker.py @@ -0,0 +1,69 @@ +import asyncio +from datetime import timedelta + +from temporalio import activity, workflow +from temporalio.client import Client +from temporalio.runtime import PrometheusConfig, Runtime, TelemetryConfig +from temporalio.worker import Worker + + +@workflow.defn +class GreetingWorkflow: + @workflow.run + async def run(self, name: str) -> str: + return await workflow.execute_activity( + compose_greeting, + name, + start_to_close_timeout=timedelta(seconds=10), + ) + + +@activity.defn +async def compose_greeting(name: str) -> str: + return f"Hello, {name}!" + + +interrupt_event = asyncio.Event() + + +def init_runtime_with_prometheus(port: int) -> Runtime: + # Create runtime for use with Prometheus metrics + return Runtime( + telemetry=TelemetryConfig( + metrics=PrometheusConfig(bind_address=f"127.0.0.1:{port}") + ) + ) + + +async def main(): + runtime = init_runtime_with_prometheus(9000) + + # Connect client + client = await Client.connect( + "localhost:7233", + runtime=runtime, + ) + + # Run a worker for the workflow + async with Worker( + client, + task_queue="prometheus-task-queue", + workflows=[GreetingWorkflow], + activities=[compose_greeting], + ): + # Wait until interrupted + print("Worker started") + print( + "Prometheus metrics available at http://127.0.0.1:9000/metrics, ctrl+c to exit" + ) + await interrupt_event.wait() + print("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) From 3466090ea5920df0b8711ddf9cbaa2cfd0d6340b Mon Sep 17 00:00:00 2001 From: Patrick Rachford <64233065+rachfop@users.noreply.github.com> Date: Mon, 3 Apr 2023 05:17:05 -0700 Subject: [PATCH 26/84] Fixes README.md link (#66) Link in the md file wasn't pointing to the correct location. --- hello/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/hello/README.md b/hello/README.md index 83f25fbd..d3d85c9b 100644 --- a/hello/README.md +++ b/hello/README.md @@ -19,7 +19,7 @@ Replace `hello_activity.py` in the command with any other example filename to r * [hello_activity](hello_activity.py) - Execute an activity from a workflow. * [hello_activity_choice](hello_activity_choice.py) - Execute certain activities inside a workflow based on dynamic input. -* [hello_activity_method](hello/hello_activity_method.py) - Demonstrate an activity that is an instance method on a +* [hello_activity_method](hello_activity_method.py) - Demonstrate an activity that is an instance method on a class and can access class state. * [hello_activity_multiprocess](hello_activity_multiprocess.py) - Execute a synchronous activity on a process pool. * [hello_activity_retry](hello_activity_retry.py) - Demonstrate activity retry by failing until a certain number of @@ -40,4 +40,4 @@ Replace `hello_activity.py` in the command with any other example filename to r * [hello_query](hello_query.py) - Invoke queries on a workflow. * [hello_search_attributes](hello_search_attributes.py) - Start workflow with search attributes then change while running. -* [hello_signal](hello_signal.py) - Send signals to a workflow. \ No newline at end of file +* [hello_signal](hello_signal.py) - Send signals to a workflow. From f62501f9012607df2f5ef616580f8f466acbf629 Mon Sep 17 00:00:00 2001 From: Patrick Rachford <64233065+rachfop@users.noreply.github.com> Date: Mon, 10 Apr 2023 11:51:18 -0700 Subject: [PATCH 27/84] Adds Schedules Features (#62) --- README.md | 1 + hello/README.md | 2 +- poetry.lock | 1360 ++++++++++++++++---------------- pyproject.toml | 2 +- schedules/README.md | 27 + schedules/__init__.py | 0 schedules/backfill_schedule.py | 23 + schedules/delete_schedule.py | 16 + schedules/describe_schedule.py | 18 + schedules/list_schedule.py | 14 + schedules/pause_schedule.py | 16 + schedules/run_worker.py | 21 + schedules/start_schedule.py | 35 + schedules/trigger_schedule.py | 16 + schedules/update_schedule.py | 28 + schedules/your_activities.py | 7 + schedules/your_dataobject.py | 7 + schedules/your_workflows.py | 18 + 18 files changed, 929 insertions(+), 682 deletions(-) create mode 100644 schedules/README.md create mode 100644 schedules/__init__.py create mode 100644 schedules/backfill_schedule.py create mode 100644 schedules/delete_schedule.py create mode 100644 schedules/describe_schedule.py create mode 100644 schedules/list_schedule.py create mode 100644 schedules/pause_schedule.py create mode 100644 schedules/run_worker.py create mode 100644 schedules/start_schedule.py create mode 100644 schedules/trigger_schedule.py create mode 100644 schedules/update_schedule.py create mode 100644 schedules/your_activities.py create mode 100644 schedules/your_dataobject.py create mode 100644 schedules/your_workflows.py diff --git a/README.md b/README.md index 6aacdd44..90a82068 100644 --- a/README.md +++ b/README.md @@ -60,6 +60,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [patching](patching) - Alter workflows safely with `patch` and `deprecate_patch`. * [prometheus](prometheus) - Configure Prometheus metrics on clients/workers. * [pydantic_converter](pydantic_converter) - Data converter for using Pydantic models. +* [schedules](schedules) - Demonstrates a Workflow Execution that occurs according to a schedule. * [sentry](sentry) - Report errors to Sentry. ## Test diff --git a/hello/README.md b/hello/README.md index d3d85c9b..191b4621 100644 --- a/hello/README.md +++ b/hello/README.md @@ -11,7 +11,7 @@ The result will be: Result: Hello, World! -Replace `hello_activity.py` in the command with any other example filename to run it instead. +Replace `hello_activity.py` in the command with any other example filename to run it instead. ## Samples diff --git a/poetry.lock b/poetry.lock index 6b51ef9f..0bd2e852 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,633 +1,13 @@ -[[package]] -name = "aiohttp" -version = "3.8.3" -description = "Async http client/server framework (asyncio)" -category = "dev" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -aiosignal = ">=1.1.2" -async-timeout = ">=4.0.0a3,<5.0" -asynctest = {version = "0.13.0", markers = "python_version < \"3.8\""} -attrs = ">=17.3.0" -charset-normalizer = ">=2.0,<3.0" -frozenlist = ">=1.1.1" -multidict = ">=4.5,<7.0" -typing-extensions = {version = ">=3.7.4", markers = "python_version < \"3.8\""} -yarl = ">=1.0,<2.0" - -[package.extras] -speedups = ["Brotli", "aiodns", "cchardet"] - -[[package]] -name = "aiosignal" -version = "1.2.0" -description = "aiosignal: a list of registered asynchronous callbacks" -category = "dev" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -frozenlist = ">=1.1.0" - -[[package]] -name = "async-timeout" -version = "4.0.2" -description = "Timeout context manager for asyncio programs" -category = "dev" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -typing-extensions = {version = ">=3.6.5", markers = "python_version < \"3.8\""} - -[[package]] -name = "asynctest" -version = "0.13.0" -description = "Enhance the standard unittest package with features for testing asyncio libraries" -category = "dev" -optional = false -python-versions = ">=3.5" - -[[package]] -name = "attrs" -version = "22.1.0" -description = "Classes Without Boilerplate" -category = "dev" -optional = false -python-versions = ">=3.5" - -[package.extras] -dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy (>=0.900,!=0.940)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "sphinx", "sphinx-notfound-page", "zope.interface"] -docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"] -tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "zope.interface"] -tests-no-zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"] - -[[package]] -name = "black" -version = "22.10.0" -description = "The uncompromising code formatter." -category = "dev" -optional = false -python-versions = ">=3.7" - -[package.dependencies] -click = ">=8.0.0" -mypy-extensions = ">=0.4.3" -pathspec = ">=0.9.0" -platformdirs = ">=2" -tomli = {version = ">=1.1.0", markers = "python_full_version < \"3.11.0a7\""} -typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\" and implementation_name == \"cpython\""} -typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""} - -[package.extras] -colorama = ["colorama (>=0.4.3)"] -d = ["aiohttp (>=3.7.4)"] -jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] -uvloop = ["uvloop (>=0.15.2)"] - -[[package]] -name = "certifi" -version = "2022.9.24" -description = "Python package for providing Mozilla's CA Bundle." -category = "dev" -optional = false -python-versions = ">=3.6" - -[[package]] -name = "cffi" -version = "1.15.1" -description = "Foreign Function Interface for Python calling C code." -category = "dev" -optional = false -python-versions = "*" - -[package.dependencies] -pycparser = "*" - -[[package]] -name = "charset-normalizer" -version = "2.1.1" -description = "The Real First Universal Charset Detector. 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+[package.extras] +docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"] +testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] + +[metadata] +lock-version = "2.0" +python-versions = "^3.7" +content-hash = "f79522ae4299315690b84509b7538289c2ad4edf1775818833abb6722f55ff68" diff --git a/pyproject.toml b/pyproject.toml index bf621774..86ae4841 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,7 +17,7 @@ packages = [ [tool.poetry.dependencies] python = "^3.7" -temporalio = "^1.0.0" +temporalio = "^1.1.0" [tool.poetry.dev-dependencies] black = "^22.3.0" diff --git a/schedules/README.md b/schedules/README.md new file mode 100644 index 00000000..9bf40ca0 --- /dev/null +++ b/schedules/README.md @@ -0,0 +1,27 @@ +# Schedules Samples + +These samples show how to schedule a Workflow Execution and control certain action. + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to run the `schedules/` sample: + + poetry run python run_worker.py + poetry run python start_schedule.py + +Replace `start_schedule.py` in the command with any other example filename to run it instead. + + poetry run python backfill_schedule.py + poetry run python delete_schedule.py + poetry run python describe_schedule.py + poetry run python list_schedule.py + poetry run python pause_schedule.py + python run python trigger_schedule.py + poetry run python update_schedule.py + +- create: Creates a new Schedule. Newly created Schedules return a Schedule ID to be used in other Schedule commands. +- backfill: Backfills the Schedule by going through the specified time periods as if they passed right now. +- delete: Deletes a Schedule. Deleting a Schedule does not affect any Workflows started by the Schedule. +- describe: Shows the current Schedule configuration. This command also provides information about past, current, and future Workflow Runs. +- list: Lists Schedules. +- pause: Pause and unpause a Schedule. +- trigger: Triggers an immediate action with a given Schedule. By default, this action is subject to the Overlap Policy of the Schedule. +- update: Updates an existing Schedule. diff --git a/schedules/__init__.py b/schedules/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/schedules/backfill_schedule.py b/schedules/backfill_schedule.py new file mode 100644 index 00000000..65658409 --- /dev/null +++ b/schedules/backfill_schedule.py @@ -0,0 +1,23 @@ +import asyncio +from datetime import datetime, timedelta + +from temporalio.client import Client, ScheduleBackfill, ScheduleOverlapPolicy + + +async def main(): + client = await Client.connect("localhost:7233") + handle = client.get_schedule_handle( + "workflow-schedule-id", + ) + now = datetime.utcnow() + await handle.backfill( + ScheduleBackfill( + start_at=now - timedelta(minutes=10), + end_at=now - timedelta(minutes=9), + overlap=ScheduleOverlapPolicy.ALLOW_ALL, + ), + ), + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/schedules/delete_schedule.py b/schedules/delete_schedule.py new file mode 100644 index 00000000..b6265636 --- /dev/null +++ b/schedules/delete_schedule.py @@ -0,0 +1,16 @@ +import asyncio + +from temporalio.client import Client + + +async def main(): + client = await Client.connect("localhost:7233") + handle = client.get_schedule_handle( + "workflow-schedule-id", + ) + + await handle.delete() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/schedules/describe_schedule.py b/schedules/describe_schedule.py new file mode 100644 index 00000000..22bb832d --- /dev/null +++ b/schedules/describe_schedule.py @@ -0,0 +1,18 @@ +import asyncio + +from temporalio.client import Client + + +async def main(): + client = await Client.connect("localhost:7233") + handle = client.get_schedule_handle( + "workflow-schedule-id", + ) + + desc = await handle.describe() + + print(f"Returns the note: {desc.schedule.state.note}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/schedules/list_schedule.py b/schedules/list_schedule.py new file mode 100644 index 00000000..a863aeee --- /dev/null +++ b/schedules/list_schedule.py @@ -0,0 +1,14 @@ +import asyncio + +from temporalio.client import Client + + +async def main() -> None: + client = await Client.connect("localhost:7233") + + async for schedule in await client.list_schedules(): + print(f"List Schedule Info: {schedule.info}.") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/schedules/pause_schedule.py b/schedules/pause_schedule.py new file mode 100644 index 00000000..a6f8721c --- /dev/null +++ b/schedules/pause_schedule.py @@ -0,0 +1,16 @@ +import asyncio + +from temporalio.client import Client + + +async def main(): + client = await Client.connect("localhost:7233") + handle = client.get_schedule_handle( + "workflow-schedule-id", + ) + + await handle.pause(note="Pausing the schedule for now") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/schedules/run_worker.py b/schedules/run_worker.py new file mode 100644 index 00000000..5252b1f7 --- /dev/null +++ b/schedules/run_worker.py @@ -0,0 +1,21 @@ +import asyncio + +from temporalio.client import Client +from temporalio.worker import Worker +from your_activities import your_activity +from your_workflows import YourSchedulesWorkflow + + +async def main(): + client = await Client.connect("localhost:7233") + worker = Worker( + client, + task_queue="schedules-task-queue", + workflows=[YourSchedulesWorkflow], + activities=[your_activity], + ) + await worker.run() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/schedules/start_schedule.py b/schedules/start_schedule.py new file mode 100644 index 00000000..6089be95 --- /dev/null +++ b/schedules/start_schedule.py @@ -0,0 +1,35 @@ +import asyncio +from datetime import timedelta + +from temporalio.client import ( + Client, + Schedule, + ScheduleActionStartWorkflow, + ScheduleIntervalSpec, + ScheduleSpec, + ScheduleState, +) +from your_workflows import YourSchedulesWorkflow + + +async def main(): + client = await Client.connect("localhost:7233") + await client.create_schedule( + "workflow-schedule-id", + Schedule( + action=ScheduleActionStartWorkflow( + YourSchedulesWorkflow.run, + "my schedule arg", + id="schedules-workflow-id", + task_queue="schedules-task-queue", + ), + spec=ScheduleSpec( + intervals=[ScheduleIntervalSpec(every=timedelta(minutes=2))] + ), + state=ScheduleState(note="Here's a note on my Schedule."), + ), + ) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/schedules/trigger_schedule.py b/schedules/trigger_schedule.py new file mode 100644 index 00000000..ca1f38f1 --- /dev/null +++ b/schedules/trigger_schedule.py @@ -0,0 +1,16 @@ +import asyncio + +from temporalio.client import Client + + +async def main(): + client = await Client.connect("localhost:7233") + handle = client.get_schedule_handle( + "workflow-schedule-id", + ) + + await handle.trigger() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/schedules/update_schedule.py b/schedules/update_schedule.py new file mode 100644 index 00000000..979c23a8 --- /dev/null +++ b/schedules/update_schedule.py @@ -0,0 +1,28 @@ +import asyncio + +from temporalio.client import ( + Client, + ScheduleActionStartWorkflow, + ScheduleUpdate, + ScheduleUpdateInput, +) + + +async def main(): + client = await Client.connect("localhost:7233") + handle = client.get_schedule_handle( + "workflow-schedule-id", + ) + + async def update_schedule_simple(input: ScheduleUpdateInput) -> ScheduleUpdate: + schedule_action = input.description.schedule.action + + if isinstance(schedule_action, ScheduleActionStartWorkflow): + schedule_action.args = ["my new schedule arg"] + return ScheduleUpdate(schedule=input.description.schedule) + + await handle.update(update_schedule_simple) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/schedules/your_activities.py b/schedules/your_activities.py new file mode 100644 index 00000000..b177ed5b --- /dev/null +++ b/schedules/your_activities.py @@ -0,0 +1,7 @@ +from temporalio import activity +from your_dataobject import YourParams + + +@activity.defn +async def your_activity(input: YourParams) -> str: + return f"{input.greeting}, {input.name}!" diff --git a/schedules/your_dataobject.py b/schedules/your_dataobject.py new file mode 100644 index 00000000..7d6a4901 --- /dev/null +++ b/schedules/your_dataobject.py @@ -0,0 +1,7 @@ +from dataclasses import dataclass + + +@dataclass +class YourParams: + greeting: str + name: str diff --git a/schedules/your_workflows.py b/schedules/your_workflows.py new file mode 100644 index 00000000..05dcb958 --- /dev/null +++ b/schedules/your_workflows.py @@ -0,0 +1,18 @@ +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from your_activities import your_activity + from your_dataobject import YourParams + + +@workflow.defn +class YourSchedulesWorkflow: + @workflow.run + async def run(self, name: str) -> str: + return await workflow.execute_activity( + your_activity, + YourParams("Hello", name), + start_to_close_timeout=timedelta(seconds=10), + ) From 4ef3a3779d1485a27ba5abd94180b7680aeeaafc Mon Sep 17 00:00:00 2001 From: Patrick Rachford <64233065+rachfop@users.noreply.github.com> Date: Thu, 27 Apr 2023 10:37:21 -0700 Subject: [PATCH 28/84] Porting to Python, Java Polling Examples (#68) * Porting to Python, Java Polling Examples * updates code sample * updates code * remove attempts * Update polling/periodic_sequence/workflows.py * tighten readmes remove extra fluff from activity * adds other fixes * adding external service --- README.md | 1 + polling/README.md | 9 +++++ polling/__init__.py | 0 polling/frequent/README.md | 20 +++++++++++ polling/frequent/__init__.py | 0 polling/frequent/activities.py | 23 +++++++++++++ polling/frequent/run_frequent.py | 19 ++++++++++ polling/frequent/run_worker.py | 22 ++++++++++++ polling/frequent/workflows.py | 18 ++++++++++ polling/infrequent/README.md | 23 +++++++++++++ polling/infrequent/__init__.py | 0 polling/infrequent/activities.py | 23 +++++++++++++ polling/infrequent/run_infrequent.py | 19 ++++++++++ polling/infrequent/run_worker.py | 22 ++++++++++++ polling/infrequent/workflows.py | 22 ++++++++++++ polling/periodic_sequence/README.md | 17 +++++++++ polling/periodic_sequence/__init__.py | 0 polling/periodic_sequence/activities.py | 14 ++++++++ polling/periodic_sequence/run_periodic.py | 19 ++++++++++ polling/periodic_sequence/run_worker.py | 22 ++++++++++++ polling/periodic_sequence/workflows.py | 42 +++++++++++++++++++++++ polling/test_service.py | 14 ++++++++ 22 files changed, 349 insertions(+) create mode 100644 polling/README.md create mode 100644 polling/__init__.py create mode 100644 polling/frequent/README.md create mode 100644 polling/frequent/__init__.py create mode 100644 polling/frequent/activities.py create mode 100644 polling/frequent/run_frequent.py create mode 100644 polling/frequent/run_worker.py create mode 100644 polling/frequent/workflows.py create mode 100644 polling/infrequent/README.md create mode 100644 polling/infrequent/__init__.py create mode 100644 polling/infrequent/activities.py create mode 100644 polling/infrequent/run_infrequent.py create mode 100644 polling/infrequent/run_worker.py create mode 100644 polling/infrequent/workflows.py create mode 100644 polling/periodic_sequence/README.md create mode 100644 polling/periodic_sequence/__init__.py create mode 100644 polling/periodic_sequence/activities.py create mode 100644 polling/periodic_sequence/run_periodic.py create mode 100644 polling/periodic_sequence/run_worker.py create mode 100644 polling/periodic_sequence/workflows.py create mode 100644 polling/test_service.py diff --git a/README.md b/README.md index 90a82068..5c9b8cbd 100644 --- a/README.md +++ b/README.md @@ -58,6 +58,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [encryption](encryption) - Apply end-to-end encryption for all input/output. * [open_telemetry](open_telemetry) - Trace workflows with OpenTelemetry. * [patching](patching) - Alter workflows safely with `patch` and `deprecate_patch`. +* [polling](polling) - Recommended implementation of an activity that needs to periodically poll an external resource waiting its successful completion. * [prometheus](prometheus) - Configure Prometheus metrics on clients/workers. * [pydantic_converter](pydantic_converter) - Data converter for using Pydantic models. * [schedules](schedules) - Demonstrates a Workflow Execution that occurs according to a schedule. diff --git a/polling/README.md b/polling/README.md new file mode 100644 index 00000000..c83415e6 --- /dev/null +++ b/polling/README.md @@ -0,0 +1,9 @@ +# Polling + +These samples show three different best practices for polling. + +1. [Frequently Polling Activity](./frequent/README.md) +2. [Infrequently Polling Activity](./infrequent/README.md) +3. [Periodic Polling of a Sequence of Activities](./periodic_sequence/README.md) + +The samples are based on [this](https://community.temporal.io/t/what-is-the-best-practice-for-a-polling-activity/328/2) community forum thread. diff --git a/polling/__init__.py b/polling/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/polling/frequent/README.md b/polling/frequent/README.md new file mode 100644 index 00000000..33b6bc0a --- /dev/null +++ b/polling/frequent/README.md @@ -0,0 +1,20 @@ +# Frequently Polling Activity + +This sample shows how we can implement frequent polling (1 second or faster) inside our Activity. The implementation is a loop that polls our service and then sleeps for the poll interval (1 second in the sample). + +To ensure that polling Activity is restarted in a timely manner, we make sure that it heartbeats on every iteration. Note that heartbeating only works if we set the `heartbeat_timeout` to a shorter value than the Activity `start_to_close_timeout` timeout. + +To run, first see [README.md](../../README.md) for prerequisites. + +Then, run the following from this directory to run the sample: + +```bash +poetry run python run_worker.py +poetry run python run_frequent.py +``` + +The Workflow will continue to poll the service and heartbeat on every iteration until it succeeds. + +Note that with frequent polling, the Activity may execute for a long time, and it may be beneficial to set a Timeout on the Activity to avoid long-running Activities that are not heartbeating. + +If the polling interval needs to be changed during runtime, the Activity needs to be canceled and a new instance with the updated arguments needs to be started. diff --git a/polling/frequent/__init__.py b/polling/frequent/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/polling/frequent/activities.py b/polling/frequent/activities.py new file mode 100644 index 00000000..bc667b7f --- /dev/null +++ b/polling/frequent/activities.py @@ -0,0 +1,23 @@ +import asyncio +from dataclasses import dataclass + +from temporalio import activity + +from polling.test_service import TestService + + +@dataclass +class ComposeGreetingInput: + greeting: str + name: str + + +@activity.defn +async def compose_greeting(input: ComposeGreetingInput) -> str: + test_service = TestService() + while True: + try: + result = test_service.get_service_result(input) + return result + except Exception: + activity.heartbeat("Invoking activity") diff --git a/polling/frequent/run_frequent.py b/polling/frequent/run_frequent.py new file mode 100644 index 00000000..bc43ccfd --- /dev/null +++ b/polling/frequent/run_frequent.py @@ -0,0 +1,19 @@ +import asyncio + +from temporalio.client import Client +from workflows import GreetingWorkflow + + +async def main(): + client = await Client.connect("localhost:7233") + result = await client.execute_workflow( + GreetingWorkflow.run, + "World", + id="frequent-activity-retry", + task_queue="frequent-activity-retry-task-queue", + ) + print(f"Result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/polling/frequent/run_worker.py b/polling/frequent/run_worker.py new file mode 100644 index 00000000..97b327ff --- /dev/null +++ b/polling/frequent/run_worker.py @@ -0,0 +1,22 @@ +import asyncio + +from activities import compose_greeting +from temporalio.client import Client +from temporalio.worker import Worker +from workflows import GreetingWorkflow + + +async def main(): + client = await Client.connect("localhost:7233") + + worker = Worker( + client, + task_queue="frequent-activity-retry-task-queue", + workflows=[GreetingWorkflow], + activities=[compose_greeting], + ) + await worker.run() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/polling/frequent/workflows.py b/polling/frequent/workflows.py new file mode 100644 index 00000000..c5329ad9 --- /dev/null +++ b/polling/frequent/workflows.py @@ -0,0 +1,18 @@ +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from activities import ComposeGreetingInput, compose_greeting + + +@workflow.defn +class GreetingWorkflow: + @workflow.run + async def run(self, name: str) -> str: + return await workflow.execute_activity( + compose_greeting, + ComposeGreetingInput("Hello", name), + start_to_close_timeout=timedelta(seconds=60), + heartbeat_timeout=timedelta(seconds=2), + ) diff --git a/polling/infrequent/README.md b/polling/infrequent/README.md new file mode 100644 index 00000000..7c0a3225 --- /dev/null +++ b/polling/infrequent/README.md @@ -0,0 +1,23 @@ +# Infrequently Polling Activity + +This sample shows how to use Activity retries for infrequent polling of a third-party service (for example via REST). This method can be used for infrequent polls of one minute or slower. + +Activity retries are utilized for this option, setting the following Retry options: + +- `backoff_coefficient`: to 1 +- `initial_interval`: to the polling interval (in this sample set to 60 seconds) + +This will enable the Activity to be retried exactly on the set interval. + +To run, first see [README.md](../../README.md) for prerequisites. + +Then, run the following from this directory to run the sample: + +```bash +poetry run python run_worker.py +poetry run python run_infrequent.py +``` + +Since the test service simulates being _down_ for four polling attempts and then returns _OK_ on the fifth poll attempt, the Workflow will perform four Activity retries with a 60-second poll interval, and then return the service result on the successful fifth attempt. + +Note that individual Activity retries are not recorded in Workflow History, so this approach can poll for a very long time without affecting the history size. diff --git a/polling/infrequent/__init__.py b/polling/infrequent/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/polling/infrequent/activities.py b/polling/infrequent/activities.py new file mode 100644 index 00000000..bc667b7f --- /dev/null +++ b/polling/infrequent/activities.py @@ -0,0 +1,23 @@ +import asyncio +from dataclasses import dataclass + +from temporalio import activity + +from polling.test_service import TestService + + +@dataclass +class ComposeGreetingInput: + greeting: str + name: str + + +@activity.defn +async def compose_greeting(input: ComposeGreetingInput) -> str: + test_service = TestService() + while True: + try: + result = test_service.get_service_result(input) + return result + except Exception: + activity.heartbeat("Invoking activity") diff --git a/polling/infrequent/run_infrequent.py b/polling/infrequent/run_infrequent.py new file mode 100644 index 00000000..0056a36c --- /dev/null +++ b/polling/infrequent/run_infrequent.py @@ -0,0 +1,19 @@ +import asyncio + +from temporalio.client import Client +from workflows import GreetingWorkflow + + +async def main(): + client = await Client.connect("localhost:7233") + result = await client.execute_workflow( + GreetingWorkflow.run, + "World", + id="infrequent-activity-retry", + task_queue="infrequent-activity-retry-task-queue", + ) + print(f"Result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/polling/infrequent/run_worker.py b/polling/infrequent/run_worker.py new file mode 100644 index 00000000..27db61de --- /dev/null +++ b/polling/infrequent/run_worker.py @@ -0,0 +1,22 @@ +import asyncio + +from activities import compose_greeting +from temporalio.client import Client +from temporalio.worker import Worker +from workflows import GreetingWorkflow + + +async def main(): + client = await Client.connect("localhost:7233") + + worker = Worker( + client, + task_queue="infrequent-activity-retry-task-queue", + workflows=[GreetingWorkflow], + activities=[compose_greeting], + ) + await worker.run() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/polling/infrequent/workflows.py b/polling/infrequent/workflows.py new file mode 100644 index 00000000..013a3b91 --- /dev/null +++ b/polling/infrequent/workflows.py @@ -0,0 +1,22 @@ +from datetime import timedelta + +from temporalio import workflow +from temporalio.common import RetryPolicy + +with workflow.unsafe.imports_passed_through(): + from activities import ComposeGreetingInput, compose_greeting + + +@workflow.defn +class GreetingWorkflow: + @workflow.run + async def run(self, name: str) -> str: + return await workflow.execute_activity( + compose_greeting, + ComposeGreetingInput("Hello", name), + start_to_close_timeout=timedelta(seconds=2), + retry_policy=RetryPolicy( + backoff_coefficient=1.0, + initial_interval=timedelta(seconds=60), + ), + ) diff --git a/polling/periodic_sequence/README.md b/polling/periodic_sequence/README.md new file mode 100644 index 00000000..65fe0669 --- /dev/null +++ b/polling/periodic_sequence/README.md @@ -0,0 +1,17 @@ +# Periodic Polling of a Sequence of Activities + +This sample demonstrates how to use a Child Workflow for periodic Activity polling. + +This is a rare scenario where polling requires execution of a Sequence of Activities, or Activity arguments need to change between polling retries. For this case we use a Child Workflow to call polling activities a set number of times in a loop and then periodically call Continue-As-New. + +To run, first see [README.md](../../README.md) for prerequisites. + +Then, run the following from this directory to run the sample: + +```bash +poetry run python run_worker.py +poetry run python run_periodic.py +``` + +This will start a Workflow and Child Workflow to periodically poll an Activity. +The Parent Workflow is not aware about the Child Workflow calling Continue-As-New, and it gets notified when it completes (or fails). \ No newline at end of file diff --git a/polling/periodic_sequence/__init__.py b/polling/periodic_sequence/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/polling/periodic_sequence/activities.py b/polling/periodic_sequence/activities.py new file mode 100644 index 00000000..1a1196c6 --- /dev/null +++ b/polling/periodic_sequence/activities.py @@ -0,0 +1,14 @@ +from dataclasses import dataclass + +from temporalio import activity + + +@dataclass +class ComposeGreetingInput: + greeting: str + name: str + + +@activity.defn +async def compose_greeting(input: ComposeGreetingInput) -> str: + raise RuntimeError("Service is down") diff --git a/polling/periodic_sequence/run_periodic.py b/polling/periodic_sequence/run_periodic.py new file mode 100644 index 00000000..5853d467 --- /dev/null +++ b/polling/periodic_sequence/run_periodic.py @@ -0,0 +1,19 @@ +import asyncio + +from temporalio.client import Client +from workflows import GreetingWorkflow + + +async def main(): + client = await Client.connect("localhost:7233") + result = await client.execute_workflow( + GreetingWorkflow.run, + "World", + id="periodic-child-workflow-retry", + task_queue="periodic-retry-task-queue", + ) + print(f"Result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/polling/periodic_sequence/run_worker.py b/polling/periodic_sequence/run_worker.py new file mode 100644 index 00000000..8c0591f9 --- /dev/null +++ b/polling/periodic_sequence/run_worker.py @@ -0,0 +1,22 @@ +import asyncio + +from activities import compose_greeting +from temporalio.client import Client +from temporalio.worker import Worker +from workflows import ChildWorkflow, GreetingWorkflow + + +async def main(): + client = await Client.connect("localhost:7233") + + worker = Worker( + client, + task_queue="periodic-retry-task-queue", + workflows=[GreetingWorkflow, ChildWorkflow], + activities=[compose_greeting], + ) + await worker.run() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/polling/periodic_sequence/workflows.py b/polling/periodic_sequence/workflows.py new file mode 100644 index 00000000..12045bc8 --- /dev/null +++ b/polling/periodic_sequence/workflows.py @@ -0,0 +1,42 @@ +import asyncio +from datetime import timedelta + +from temporalio import workflow +from temporalio.common import RetryPolicy +from temporalio.exceptions import ActivityError + +with workflow.unsafe.imports_passed_through(): + from activities import ComposeGreetingInput, compose_greeting + + +@workflow.defn +class GreetingWorkflow: + @workflow.run + async def run(self, name: str) -> str: + return await workflow.execute_child_workflow( + ChildWorkflow.run, + name, + ) + + +@workflow.defn +class ChildWorkflow: + @workflow.run + async def run(self, name: str) -> str: + for i in range(10): + try: + return await workflow.execute_activity( + compose_greeting, + ComposeGreetingInput("Hello", name), + start_to_close_timeout=timedelta(seconds=4), + retry_policy=RetryPolicy( + maximum_attempts=1, + ), + ) + + except ActivityError: + workflow.logger.error("Activity failed, retrying in 1 seconds") + await asyncio.sleep(1) + workflow.continue_as_new(name) + + raise Exception("Polling failed after all attempts") diff --git a/polling/test_service.py b/polling/test_service.py new file mode 100644 index 00000000..5bcec7cd --- /dev/null +++ b/polling/test_service.py @@ -0,0 +1,14 @@ +class TestService: + def __init__(self): + self.try_attempts = 0 + self.error_attempts = 5 + + def get_service_result(self, input): + print( + f"Attempt {self.try_attempts}" + f" of {self.error_attempts} to invoke service" + ) + self.try_attempts += 1 + if self.try_attempts % self.error_attempts == 0: + return f"{input.greeting}, {input.name}!" + raise Exception("service is down") From d4e6c3667a399a12636c04dbe34341114e02f25c Mon Sep 17 00:00:00 2001 From: Jacopo Rota Date: Tue, 9 May 2023 23:21:08 +0200 Subject: [PATCH 29/84] Remove TODOs for issues 200/201 (#69) * remove TODOs for issues 200/201 * lint fix --- hello/hello_activity_choice.py | 10 ++++------ hello/hello_activity_multiprocess.py | 5 +---- hello/hello_activity_threaded.py | 5 +---- 3 files changed, 6 insertions(+), 14 deletions(-) diff --git a/hello/hello_activity_choice.py b/hello/hello_activity_choice.py index 8629d714..56b7b7e6 100644 --- a/hello/hello_activity_choice.py +++ b/hello/hello_activity_choice.py @@ -58,9 +58,7 @@ async def run(self, list: ShoppingList) -> str: # Order each thing on the list ordered: List[str] = [] for item in list.items: - # TODO(cretz): Use "is" instead of "==" after - # https://github.com/temporalio/sdk-python/issues/200 is fixed - if item.fruit == Fruit.APPLE: + if item.fruit is Fruit.APPLE: ordered.append( await workflow.execute_activity( order_apples, @@ -68,7 +66,7 @@ async def run(self, list: ShoppingList) -> str: start_to_close_timeout=timedelta(seconds=5), ) ) - elif item.fruit == Fruit.BANANA: + elif item.fruit is Fruit.BANANA: ordered.append( await workflow.execute_activity( order_bananas, @@ -76,7 +74,7 @@ async def run(self, list: ShoppingList) -> str: start_to_close_timeout=timedelta(seconds=5), ) ) - elif item.fruit == Fruit.CHERRY: + elif item.fruit is Fruit.CHERRY: ordered.append( await workflow.execute_activity( order_cherries, @@ -84,7 +82,7 @@ async def run(self, list: ShoppingList) -> str: start_to_close_timeout=timedelta(seconds=5), ) ) - elif item.fruit == Fruit.ORANGE: + elif item.fruit is Fruit.ORANGE: ordered.append( await workflow.execute_activity( order_oranges, diff --git a/hello/hello_activity_multiprocess.py b/hello/hello_activity_multiprocess.py index 49395c3f..6630234d 100644 --- a/hello/hello_activity_multiprocess.py +++ b/hello/hello_activity_multiprocess.py @@ -2,6 +2,7 @@ import multiprocessing import os import time +from concurrent.futures import ProcessPoolExecutor from dataclasses import dataclass from datetime import timedelta @@ -9,10 +10,6 @@ from temporalio.client import Client from temporalio.worker import SharedStateManager, Worker -# TODO(cretz): https://github.com/temporalio/sdk-python/issues/201 -with workflow.unsafe.sandbox_unrestricted(): - from concurrent.futures import ProcessPoolExecutor - @dataclass class ComposeGreetingInput: diff --git a/hello/hello_activity_threaded.py b/hello/hello_activity_threaded.py index 3e745ffe..e7bf8344 100644 --- a/hello/hello_activity_threaded.py +++ b/hello/hello_activity_threaded.py @@ -1,6 +1,7 @@ import asyncio import threading import time +from concurrent.futures import ThreadPoolExecutor from dataclasses import dataclass from datetime import timedelta @@ -8,10 +9,6 @@ from temporalio.client import Client from temporalio.worker import Worker -# TODO(cretz): https://github.com/temporalio/sdk-python/issues/201 -with workflow.unsafe.sandbox_unrestricted(): - from concurrent.futures import ThreadPoolExecutor - @dataclass class ComposeGreetingInput: From 82f5267edeeedbe868e5ce2bcdacdc21d068be02 Mon Sep 17 00:00:00 2001 From: Oracen <73895482+Oracen@users.noreply.github.com> Date: Thu, 25 May 2023 22:26:46 +1000 Subject: [PATCH 30/84] fix: update queue generation to be one sticky queue per worker host (#71) --- activity_sticky_queues/README.md | 9 ++++---- activity_sticky_queues/tasks.py | 1 + activity_sticky_queues/worker.py | 38 ++++++++++++++------------------ 3 files changed, 22 insertions(+), 26 deletions(-) diff --git a/activity_sticky_queues/README.md b/activity_sticky_queues/README.md index 52c09a8c..1c44539f 100644 --- a/activity_sticky_queues/README.md +++ b/activity_sticky_queues/README.md @@ -1,15 +1,16 @@ # Sticky Activity Queues -This sample is a Python implementation of the [TypeScript "Sticky Workers" example](https://github.com/temporalio/samples-typescript/tree/main/activities-sticky-queues), full credit for the design to the authors of that sample. A [sticky execution](https://docs.temporal.io/tasks#sticky-execution) is a job distribution design pattern where all workflow computational tasks are executed on a single worker. In the Go and Java SDKs this is explicitly supported via the Session option, but in other SDKs a different approach is required. +This sample is a Python implementation of the [TypeScript "Sticky Workers" example](https://github.com/temporalio/samples-typescript/tree/main/activities-sticky-queues), full credit for the design to the authors of that sample. A [sticky execution](https://docs.temporal.io/tasks#sticky-execution) is a job distribution design pattern where all workflow computational tasks are executed on a single worker. In the Go and Java SDKs this is explicitly supported via the Session option, but in other SDKs a different approach is required. Typical use cases for sticky executions include tasks where interaction with a filesystem is required, such as data processing or interacting with legacy access structures. This example will write text files to folders corresponding to each worker, located in the `demo_fs` folder. In production, these folders would typically be independent machines in a worker cluster. This strategy is: + - Create a `get_available_task_queue` activity that generates a unique task queue name, `unique_worker_task_queue`. - For activities intended to be "sticky", only register them in one Worker, and have that be the only Worker listening on that `unique_worker_task_queue`. This will be run on a series of `FileProcessing` workflows. - Execute workflows from the Client like normal. Check the Temporal Web UI to confirm tasks were staying with their respective worker. -It doesn't matter where the `get_available_task_queue` activity is run, so it can be "non sticky" as per Temporal default behavior. In this demo, `unique_worker_task_queue` is simply a `uuid` initialized in the Worker, but you can inject smart logic here to uniquely identify the Worker, [as Netflix did](https://community.temporal.io/t/using-dynamic-task-queues-for-traffic-routing/3045). Our example differs from the Node sample by running across 5 unique task queues. +It doesn't matter where the `get_available_task_queue` activity is run, so it can be "non sticky" as per Temporal default behavior. In this demo, `unique_worker_task_queue` is simply a `uuid` initialized in the Worker, but you can inject smart logic here to uniquely identify the Worker, [as Netflix did](https://community.temporal.io/t/using-dynamic-task-queues-for-traffic-routing/3045). Activities have been artificially slowed with `time.sleep(3)` to simulate slow activities. @@ -27,7 +28,7 @@ This will start the worker. Then, in another terminal, run the following to exec #### Example output: ```bash -(temporalio-samples-py3.10) user@machine:~/samples-python/activities_sticky_queues$ poetry run python starter.py +(temporalio-samples-py3.10) user@machine:~/samples-python/activities_sticky_queues$ poetry run python starter.py Output checksums: 49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 @@ -48,5 +49,3 @@ All activities for the one workflow are running against the same task queue, whi ![image](./static/all-activitites-on-same-task-queue.png) - - diff --git a/activity_sticky_queues/tasks.py b/activity_sticky_queues/tasks.py index c6764816..aa74e396 100644 --- a/activity_sticky_queues/tasks.py +++ b/activity_sticky_queues/tasks.py @@ -63,6 +63,7 @@ async def get_available_task_queue() -> str: async def download_file_to_worker_filesystem(details: DownloadObj) -> str: """Simulates downloading a file to a local filesystem""" # FS ops + print(details.unique_worker_id, details.workflow_uuid) path = create_filepath(details.unique_worker_id, details.workflow_uuid) activity.logger.info(f"Downloading ${details.url} and saving to ${path}") diff --git a/activity_sticky_queues/worker.py b/activity_sticky_queues/worker.py index 721daa47..2b8fee9c 100644 --- a/activity_sticky_queues/worker.py +++ b/activity_sticky_queues/worker.py @@ -21,15 +21,12 @@ async def main(): random.seed(667) # Create random task queues and build task queue selection function - task_queues: List[str] = [ - f"activity_sticky_queue-host-{UUID(int=random.getrandbits(128))}" - for _ in range(5) - ] + task_queue: str = f"activity_sticky_queue-host-{UUID(int=random.getrandbits(128))}" @activity.defn(name="get_available_task_queue") - async def select_task_queue_random() -> str: + async def select_task_queue() -> str: """Randomly assign the job to a queue""" - return random.choice(task_queues) + return task_queue # Start client client = await Client.connect("localhost:7233") @@ -40,25 +37,24 @@ async def select_task_queue_random() -> str: client, task_queue="activity_sticky_queue-distribution-queue", workflows=[tasks.FileProcessing], - activities=[select_task_queue_random], + activities=[select_task_queue], ) run_futures.append(handle.run()) print("Base worker started") - # Run the workers for the individual task queues - for queue_id in task_queues: - handle = Worker( - client, - task_queue=queue_id, - activities=[ - tasks.download_file_to_worker_filesystem, - tasks.work_on_file_in_worker_filesystem, - tasks.clean_up_file_from_worker_filesystem, - ], - ) - run_futures.append(handle.run()) - # Wait until interrupted - print(f"Worker {queue_id} started") + # Run unique task queue for this particular host + handle = Worker( + client, + task_queue=task_queue, + activities=[ + tasks.download_file_to_worker_filesystem, + tasks.work_on_file_in_worker_filesystem, + tasks.clean_up_file_from_worker_filesystem, + ], + ) + run_futures.append(handle.run()) + # Wait until interrupted + print(f"Worker {task_queue} started") print("All workers started, ctrl+c to exit") await asyncio.gather(*run_futures) From f6a954ef0a503eb0721700c4f95f9f2cbff3eebf Mon Sep 17 00:00:00 2001 From: Roman Konoval Date: Fri, 9 Jun 2023 22:24:39 +0200 Subject: [PATCH 31/84] replaces thrift collector with otlp collector (#73) --- open_telemetry/README.md | 32 +- open_telemetry/worker.py | 10 +- poetry.lock | 1395 ++++++++++++++++++++++---------------- pyproject.toml | 2 +- 4 files changed, 834 insertions(+), 605 deletions(-) diff --git a/open_telemetry/README.md b/open_telemetry/README.md index 3f71d8c3..e742b3dd 100644 --- a/open_telemetry/README.md +++ b/open_telemetry/README.md @@ -6,23 +6,16 @@ For this sample, the optional `open_telemetry` dependency group must be included poetry install --with open_telemetry -To run, first see [README.md](../README.md) for prerequisites. Then run the following to start a Jaeger container to -view the trace results: +To run, first see [README.md](../README.md) for prerequisites. Then run the following to start a Jaeger container +with OTLP collector enabled to collect and view the trace results: docker run -d --name jaeger \ + -e COLLECTOR_OTLP_ENABLED=true \ -p 16686:16686 \ - -p 6831:6831/udp \ + -p 4317:4317 \ + -p 4318:4318 \ jaegertracing/all-in-one:latest -Since that is running in the background (`-d`), you can also run the metrics collector in the foreground: - - docker run -p 4317:4317 \ - -v /path/to/samples-python/open_telemetry/otel-metrics-collector-config.yaml:/etc/otel-collector-config.yaml \ - otel/opentelemetry-collector:latest \ - --config=/etc/otel-collector-config.yaml - -Replace `/path/to/samples-python` with the absolute path to the cloned samples repo. - Now, from this directory, start the worker in its own terminal: poetry run python worker.py @@ -43,18 +36,3 @@ Therefore we intentionally start-then-end in-workflow spans immediately. So whil accurate, the duration is not. The metrics should have been dumped out in the terminal where the OpenTelemetry collector container is running. - -## OTLP gRPC - -Currently for tracing this example uses the `opentelemetry-exporter-jaeger-thrift` exporter because the common OTLP gRPC -exporter `opentelemetry-exporter-otlp-proto-grpc` uses an older, incompatible `protobuf` library. See -[this issue](https://github.com/open-telemetry/opentelemetry-python/issues/2880) for more information. - -Once OTel supports latest protobuf, the exporter can be changed and Jaeger could be run with: - - docker run -d --name jaeger \ - -e COLLECTOR_OTLP_ENABLED=true \ - -p 16686:16686 \ - -p 4317:4317 \ - -p 4318:4318 \ - jaegertracing/all-in-one:latest \ No newline at end of file diff --git a/open_telemetry/worker.py b/open_telemetry/worker.py index 3002213f..f4347152 100644 --- a/open_telemetry/worker.py +++ b/open_telemetry/worker.py @@ -3,9 +3,7 @@ import opentelemetry.context from opentelemetry import trace - -# See note in README about why Thrift -from opentelemetry.exporter.jaeger.thrift import JaegerExporter +from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter from opentelemetry.sdk.resources import SERVICE_NAME, Resource from opentelemetry.sdk.trace import TracerProvider from opentelemetry.sdk.trace.export import BatchSpanProcessor @@ -38,7 +36,8 @@ async def compose_greeting(name: str) -> str: def init_runtime_with_telemetry() -> Runtime: # Setup global tracer for workflow traces provider = TracerProvider(resource=Resource.create({SERVICE_NAME: "my-service"})) - provider.add_span_processor(BatchSpanProcessor(JaegerExporter())) + exporter = OTLPSpanExporter(endpoint="http://localhost:4317", insecure=True) + provider.add_span_processor(BatchSpanProcessor(exporter)) trace.set_tracer_provider(provider) # Setup SDK metrics to OTel endpoint @@ -52,9 +51,6 @@ def init_runtime_with_telemetry() -> Runtime: async def main(): runtime = init_runtime_with_telemetry() - # See https://github.com/temporalio/sdk-python/issues/199 - opentelemetry.context.get_current() - # Connect client client = await Client.connect( "localhost:7233", diff --git a/poetry.lock b/poetry.lock index 0bd2e852..d3ee4cac 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,100 +1,100 @@ -# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. 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"pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] [metadata] lock-version = "2.0" python-versions = "^3.7" -content-hash = "f79522ae4299315690b84509b7538289c2ad4edf1775818833abb6722f55ff68" +content-hash = "46df4d045bef1fdf5fa313c04089afc719426bf90b837dd26b1ecab016775e8c" diff --git a/pyproject.toml b/pyproject.toml index 86ae4841..be4d9990 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,7 +37,7 @@ dependencies = { cryptography = "^38.0.1", aiohttp = "^3.8.1" } optional = true [tool.poetry.group.open_telemetry.dependencies] temporalio = { version = "*", extras = ["opentelemetry"] } -opentelemetry-exporter-jaeger-thrift = "^1.13.0" +opentelemetry-exporter-otlp-proto-grpc = "1.18.0" [tool.poetry.group.pydantic] optional = true From 6fcb09d2f1f647ee5b250264f7170350be02d1c2 Mon Sep 17 00:00:00 2001 From: Patrick Rachford <64233065+rachfop@users.noreply.github.com> Date: Wed, 28 Jun 2023 10:57:58 -0700 Subject: [PATCH 32/84] Fix suffix for Workflow name (#74) --- hello/hello_child_workflow.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/hello/hello_child_workflow.py b/hello/hello_child_workflow.py index fad9af81..2be0bc1b 100644 --- a/hello/hello_child_workflow.py +++ b/hello/hello_child_workflow.py @@ -13,7 +13,7 @@ class ComposeGreetingInput: @workflow.defn -class ComposeGreeting: +class ComposeGreetingWorkflow: @workflow.run async def run(self, input: ComposeGreetingInput) -> str: return f"{input.greeting}, {input.name}!" @@ -24,7 +24,7 @@ class GreetingWorkflow: @workflow.run async def run(self, name: str) -> str: return await workflow.execute_child_workflow( - ComposeGreeting.run, + ComposeGreetingWorkflow.run, ComposeGreetingInput("Hello", name), id="hello-child-workflow-workflow-child-id", ) @@ -38,7 +38,7 @@ async def main(): async with Worker( client, task_queue="hello-child-workflow-task-queue", - workflows=[GreetingWorkflow, ComposeGreeting], + workflows=[GreetingWorkflow, ComposeGreetingWorkflow], ): # While the worker is running, use the client to run the workflow and From 9a5424cec12e645148d7c44e569ea8df6054b7a7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Antonio=20Mendoza=20P=C3=A9rez?= Date: Mon, 10 Jul 2023 19:01:49 +0200 Subject: [PATCH 33/84] add test to hello_child sample (#77) --- tests/hello/hello_child_test.py | 48 +++++++++++++++++++++++++++++++++ 1 file changed, 48 insertions(+) create mode 100644 tests/hello/hello_child_test.py diff --git a/tests/hello/hello_child_test.py b/tests/hello/hello_child_test.py new file mode 100644 index 00000000..38192912 --- /dev/null +++ b/tests/hello/hello_child_test.py @@ -0,0 +1,48 @@ +import uuid + +from temporalio import workflow +from temporalio.client import Client +from temporalio.worker import Worker + +from hello.hello_child_workflow import ( + ComposeGreetingInput, + ComposeGreetingWorkflow, + GreetingWorkflow, +) + + +async def test_child_workflow(client: Client): + task_queue_name = str(uuid.uuid4()) + async with Worker( + client, + task_queue=task_queue_name, + workflows=[GreetingWorkflow, ComposeGreetingWorkflow], + ): + assert "Hello, World!" == await client.execute_workflow( + GreetingWorkflow.run, + "World", + id=str(uuid.uuid4()), + task_queue=task_queue_name, + ) + + +@workflow.defn(name="ComposeGreetingWorkflow") +class MockedComposeGreetingWorkflow: + @workflow.run + async def run(self, input: ComposeGreetingInput) -> str: + return f"{input.greeting}, {input.name} from mocked child!" + + +async def test_mock_child_workflow(client: Client): + task_queue_name = str(uuid.uuid4()) + async with Worker( + client, + task_queue=task_queue_name, + workflows=[GreetingWorkflow, MockedComposeGreetingWorkflow], + ): + assert "Hello, World from mocked child!" == await client.execute_workflow( + GreetingWorkflow.run, + "World", + id=str(uuid.uuid4()), + task_queue=task_queue_name, + ) From 53c6063aa2d368d41ae085e430ce8acc328780f4 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 18 Jul 2023 12:46:02 -0700 Subject: [PATCH 34/84] Bump golang.org/x/net in /activity_worker/go_workflow (#60) Bumps [golang.org/x/net](https://github.com/golang/net) from 0.0.0-20220127200216-cd36cc0744dd to 0.7.0. - [Release notes](https://github.com/golang/net/releases) - [Commits](https://github.com/golang/net/commits/v0.7.0) --- updated-dependencies: - dependency-name: golang.org/x/net dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Mind.R <3825716+mindaugasrukas@users.noreply.github.com> --- activity_worker/go_workflow/go.mod | 6 +++--- activity_worker/go_workflow/go.sum | 19 ++++++++++++++++--- 2 files changed, 19 insertions(+), 6 deletions(-) diff --git a/activity_worker/go_workflow/go.mod b/activity_worker/go_workflow/go.mod index b2ef422d..b7e39fcb 100644 --- a/activity_worker/go_workflow/go.mod +++ b/activity_worker/go_workflow/go.mod @@ -21,9 +21,9 @@ require ( github.com/stretchr/testify v1.7.0 // indirect go.temporal.io/api v1.7.1-0.20220223032354-6e6fe738916a // indirect go.uber.org/atomic v1.9.0 // indirect - golang.org/x/net v0.0.0-20220127200216-cd36cc0744dd // indirect - golang.org/x/sys v0.0.0-20220222200937-f2425489ef4c // indirect - golang.org/x/text v0.3.7 // indirect + golang.org/x/net v0.7.0 // indirect + golang.org/x/sys v0.5.0 // indirect + golang.org/x/text v0.7.0 // indirect golang.org/x/time v0.0.0-20210723032227-1f47c861a9ac // indirect google.golang.org/genproto v0.0.0-20220222213610-43724f9ea8cf // indirect google.golang.org/grpc v1.44.0 // indirect diff --git a/activity_worker/go_workflow/go.sum b/activity_worker/go_workflow/go.sum index e2c6ea53..c3a593cd 100644 --- a/activity_worker/go_workflow/go.sum +++ b/activity_worker/go_workflow/go.sum @@ -102,6 +102,7 @@ github.com/stretchr/testify v1.7.0/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/ github.com/yuin/goldmark v1.1.27/go.mod h1:3hX8gzYuyVAZsxl0MRgGTJEmQBFcNTphYh9decYSb74= github.com/yuin/goldmark v1.2.1/go.mod h1:3hX8gzYuyVAZsxl0MRgGTJEmQBFcNTphYh9decYSb74= github.com/yuin/goldmark v1.3.5/go.mod h1:mwnBkeHKe2W/ZEtQ+71ViKU8L12m81fl3OWwC1Zlc8k= +github.com/yuin/goldmark v1.4.13/go.mod h1:6yULJ656Px+3vBD8DxQVa3kxgyrAnzto9xy5taEt/CY= go.opentelemetry.io/proto/otlp v0.7.0/go.mod h1:PqfVotwruBrMGOCsRd/89rSnXhoiJIqeYNgFYFoEGnI= go.temporal.io/api v1.7.1-0.20220223032354-6e6fe738916a h1:SgkeoCikBXMd/3fNNtymIfhpxk8o/E3zIZFBFkHzTtU= go.temporal.io/api v1.7.1-0.20220223032354-6e6fe738916a/go.mod h1:OnUq5eS+Nyx+irKb3Ws5YB7yjGFf5XmI3WcVRU9COEo= @@ -115,6 +116,7 @@ go.uber.org/zap v1.10.0/go.mod h1:vwi/ZaCAaUcBkycHslxD9B2zi4UTXhF60s6SWpuDF0Q= golang.org/x/crypto v0.0.0-20190308221718-c2843e01d9a2/go.mod h1:djNgcEr1/C05ACkg1iLfiJU5Ep61QUkGW8qpdssI0+w= golang.org/x/crypto v0.0.0-20191011191535-87dc89f01550/go.mod h1:yigFU9vqHzYiE8UmvKecakEJjdnWj3jj499lnFckfCI= golang.org/x/crypto v0.0.0-20200622213623-75b288015ac9/go.mod h1:LzIPMQfyMNhhGPhUkYOs5KpL4U8rLKemX1yGLhDgUto= +golang.org/x/crypto v0.0.0-20210921155107-089bfa567519/go.mod h1:GvvjBRRGRdwPK5ydBHafDWAxML/pGHZbMvKqRZ5+Abc= golang.org/x/exp v0.0.0-20190121172915-509febef88a4/go.mod h1:CJ0aWSM057203Lf6IL+f9T1iT9GByDxfZKAQTCR3kQA= golang.org/x/lint v0.0.0-20181026193005-c67002cb31c3/go.mod h1:UVdnD1Gm6xHRNCYTkRU2/jEulfH38KcIWyp/GAMgvoE= golang.org/x/lint v0.0.0-20190227174305-5b3e6a55c961/go.mod h1:wehouNa3lNwaWXcvxsM5YxQ5yQlVC4a0KAMCusXpPoU= @@ -122,6 +124,7 @@ golang.org/x/lint v0.0.0-20190313153728-d0100b6bd8b3/go.mod h1:6SW0HCj/g11FgYtHl golang.org/x/mod v0.2.0/go.mod h1:s0Qsj1ACt9ePp/hMypM3fl4fZqREWJwdYDEqhRiZZUA= golang.org/x/mod v0.3.0/go.mod h1:s0Qsj1ACt9ePp/hMypM3fl4fZqREWJwdYDEqhRiZZUA= golang.org/x/mod v0.4.2/go.mod h1:s0Qsj1ACt9ePp/hMypM3fl4fZqREWJwdYDEqhRiZZUA= +golang.org/x/mod v0.6.0-dev.0.20220419223038-86c51ed26bb4/go.mod h1:jJ57K6gSWd91VN4djpZkiMVwK6gcyfeH4XE8wZrZaV4= golang.org/x/net v0.0.0-20180724234803-3673e40ba225/go.mod h1:mL1N/T3taQHkDXs73rZJwtUhF3w3ftmwwsq0BUmARs4= golang.org/x/net v0.0.0-20180826012351-8a410e7b638d/go.mod h1:mL1N/T3taQHkDXs73rZJwtUhF3w3ftmwwsq0BUmARs4= golang.org/x/net v0.0.0-20190108225652-1e06a53dbb7e/go.mod h1:mL1N/T3taQHkDXs73rZJwtUhF3w3ftmwwsq0BUmARs4= @@ -132,9 +135,12 @@ golang.org/x/net v0.0.0-20190620200207-3b0461eec859/go.mod h1:z5CRVTTTmAJ677TzLL golang.org/x/net v0.0.0-20200226121028-0de0cce0169b/go.mod h1:z5CRVTTTmAJ677TzLLGU+0bjPO0LkuOLi4/5GtJWs/s= golang.org/x/net v0.0.0-20200822124328-c89045814202/go.mod h1:/O7V0waA8r7cgGh81Ro3o1hOxt32SMVPicZroKQ2sZA= golang.org/x/net v0.0.0-20201021035429-f5854403a974/go.mod h1:sp8m0HH+o8qH0wwXwYZr8TS3Oi6o0r6Gce1SSxlDquU= +golang.org/x/net v0.0.0-20210226172049-e18ecbb05110/go.mod h1:m0MpNAwzfU5UDzcl9v0D8zg8gWTRqZa9RBIspLL5mdg= golang.org/x/net v0.0.0-20210405180319-a5a99cb37ef4/go.mod h1:p54w0d4576C0XHj96bSt6lcn1PtDYWL6XObtHCRCNQM= -golang.org/x/net v0.0.0-20220127200216-cd36cc0744dd h1:O7DYs+zxREGLKzKoMQrtrEacpb0ZVXA5rIwylE2Xchk= golang.org/x/net v0.0.0-20220127200216-cd36cc0744dd/go.mod h1:CfG3xpIq0wQ8r1q4Su4UZFWDARRcnwPjda9FqA0JpMk= +golang.org/x/net v0.0.0-20220722155237-a158d28d115b/go.mod h1:XRhObCWvk6IyKnWLug+ECip1KBveYUHfp+8e9klMJ9c= +golang.org/x/net v0.7.0 h1:rJrUqqhjsgNp7KqAIc25s9pZnjU7TUcSY7HcVZjdn1g= +golang.org/x/net v0.7.0/go.mod h1:2Tu9+aMcznHK/AK1HMvgo6xiTLG5rD5rZLDS+rp2Bjs= golang.org/x/oauth2 v0.0.0-20180821212333-d2e6202438be/go.mod h1:N/0e6XlmueqKjAGxoOufVs8QHGRruUQn6yWY3a++T0U= golang.org/x/oauth2 v0.0.0-20200107190931-bf48bf16ab8d/go.mod h1:gOpvHmFTYa4IltrdGE7lF6nIHvwfUNPOp7c8zoXwtLw= golang.org/x/sync v0.0.0-20180314180146-1d60e4601c6f/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM= @@ -145,6 +151,7 @@ golang.org/x/sync v0.0.0-20190423024810-112230192c58/go.mod h1:RxMgew5VJxzue5/jJ golang.org/x/sync v0.0.0-20190911185100-cd5d95a43a6e/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM= golang.org/x/sync v0.0.0-20201020160332-67f06af15bc9/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM= golang.org/x/sync v0.0.0-20210220032951-036812b2e83c/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM= +golang.org/x/sync v0.0.0-20220722155255-886fb9371eb4/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM= golang.org/x/sys v0.0.0-20180830151530-49385e6e1522/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY= golang.org/x/sys v0.0.0-20190215142949-d0b11bdaac8a/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY= golang.org/x/sys v0.0.0-20190412213103-97732733099d/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs= @@ -156,15 +163,20 @@ golang.org/x/sys v0.0.0-20210330210617-4fbd30eecc44/go.mod h1:h1NjWce9XRLGQEsW7w golang.org/x/sys v0.0.0-20210510120138-977fb7262007/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= golang.org/x/sys v0.0.0-20210615035016-665e8c7367d1/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= golang.org/x/sys v0.0.0-20211216021012-1d35b9e2eb4e/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= -golang.org/x/sys v0.0.0-20220222200937-f2425489ef4c h1:sSIdNI2Dd6vGv47bKc/xArpfxVmEz2+3j0E6I484xC4= golang.org/x/sys v0.0.0-20220222200937-f2425489ef4c/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= +golang.org/x/sys v0.0.0-20220520151302-bc2c85ada10a/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= +golang.org/x/sys v0.0.0-20220722155257-8c9f86f7a55f/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= +golang.org/x/sys v0.5.0 h1:MUK/U/4lj1t1oPg0HfuXDN/Z1wv31ZJ/YcPiGccS4DU= +golang.org/x/sys v0.5.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg= golang.org/x/term v0.0.0-20201126162022-7de9c90e9dd1/go.mod h1:bj7SfCRtBDWHUb9snDiAeCFNEtKQo2Wmx5Cou7ajbmo= golang.org/x/term v0.0.0-20210927222741-03fcf44c2211/go.mod h1:jbD1KX2456YbFQfuXm/mYQcufACuNUgVhRMnK/tPxf8= +golang.org/x/term v0.5.0/go.mod h1:jMB1sMXY+tzblOD4FWmEbocvup2/aLOaQEp7JmGp78k= golang.org/x/text v0.3.0/go.mod h1:NqM8EUOU14njkJ3fqMW+pc6Ldnwhi/IjpwHt7yyuwOQ= golang.org/x/text v0.3.3/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ= golang.org/x/text v0.3.5/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ= -golang.org/x/text v0.3.7 h1:olpwvP2KacW1ZWvsR7uQhoyTYvKAupfQrRGBFM352Gk= golang.org/x/text v0.3.7/go.mod h1:u+2+/6zg+i71rQMx5EYifcz6MCKuco9NR6JIITiCfzQ= +golang.org/x/text v0.7.0 h1:4BRB4x83lYWy72KwLD/qYDuTu7q9PjSagHvijDw7cLo= +golang.org/x/text v0.7.0/go.mod h1:mrYo+phRRbMaCq/xk9113O4dZlRixOauAjOtrjsXDZ8= golang.org/x/time v0.0.0-20210723032227-1f47c861a9ac h1:7zkz7BUtwNFFqcowJ+RIgu2MaV/MapERkDIy+mwPyjs= golang.org/x/time v0.0.0-20210723032227-1f47c861a9ac/go.mod h1:tRJNPiyCQ0inRvYxbN9jk5I+vvW/OXSQhTDSoE431IQ= golang.org/x/tools v0.0.0-20180917221912-90fa682c2a6e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ= @@ -176,6 +188,7 @@ golang.org/x/tools v0.0.0-20191119224855-298f0cb1881e/go.mod h1:b+2E5dAYhXwXZwtn golang.org/x/tools v0.0.0-20200619180055-7c47624df98f/go.mod h1:EkVYQZoAsY45+roYkvgYkIh4xh/qjgUK9TdY2XT94GE= golang.org/x/tools v0.0.0-20210106214847-113979e3529a/go.mod h1:emZCQorbCU4vsT4fOWvOPXz4eW1wZW4PmDk9uLelYpA= golang.org/x/tools v0.1.1/go.mod h1:o0xws9oXOQQZyjljx8fwUC0k7L1pTE6eaCbjGeHmOkk= +golang.org/x/tools v0.1.12/go.mod h1:hNGJHUnrk76NpqgfD5Aqm5Crs+Hm0VOH/i9J2+nxYbc= golang.org/x/xerrors v0.0.0-20190717185122-a985d3407aa7/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0= golang.org/x/xerrors v0.0.0-20191011141410-1b5146add898/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0= golang.org/x/xerrors v0.0.0-20191204190536-9bdfabe68543/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0= From 2cb0fdde7ede72edf4b40cf8b5440158d9d2234e Mon Sep 17 00:00:00 2001 From: Spencer Judge Date: Mon, 24 Jul 2023 11:30:13 -0700 Subject: [PATCH 35/84] Worker Versioning sample (#78) * Upgrade sdk version to 1.3.0 --- README.md | 3 +- poetry.lock | 54 +++----------- pyproject.toml | 2 +- worker_versioning/README.md | 12 +++ worker_versioning/__init__.py | 0 worker_versioning/activities.py | 11 +++ worker_versioning/example.py | 116 +++++++++++++++++++++++++++++ worker_versioning/workflow_v1.py | 27 +++++++ worker_versioning/workflow_v1_1.py | 45 +++++++++++ worker_versioning/workflow_v2.py | 36 +++++++++ 10 files changed, 259 insertions(+), 47 deletions(-) create mode 100644 worker_versioning/README.md create mode 100644 worker_versioning/__init__.py create mode 100644 worker_versioning/activities.py create mode 100644 worker_versioning/example.py create mode 100644 worker_versioning/workflow_v1.py create mode 100644 worker_versioning/workflow_v1_1.py create mode 100644 worker_versioning/workflow_v2.py diff --git a/README.md b/README.md index 5c9b8cbd..c32b301f 100644 --- a/README.md +++ b/README.md @@ -51,7 +51,7 @@ Some examples require extra dependencies. See each sample's directory for specif while running. * [hello_signal](hello/hello_signal.py) - Send signals to a workflow. -* [activity_sticky_queue](activity_sticky_queue) - Uses unique task queues to ensure activities run on specific workers. +* [activity_sticky_queue](activity_sticky_queues) - Uses unique task queues to ensure activities run on specific workers. * [activity_worker](activity_worker) - Use Python activities from a workflow in another language. * [custom_converter](custom_converter) - Use a custom payload converter to handle custom types. * [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. @@ -63,6 +63,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [pydantic_converter](pydantic_converter) - Data converter for using Pydantic models. * [schedules](schedules) - Demonstrates a Workflow Execution that occurs according to a schedule. * [sentry](sentry) - Report errors to Sentry. +* [worker_versioning](worker_versioning) - Use the Worker Versioning feature to more easily version your workflows & other code. ## Test diff --git a/poetry.lock b/poetry.lock index d3ee4cac..1aa4dc7a 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand. [[package]] name = "aiohttp" @@ -886,23 +886,6 @@ deprecated = ">=1.2.6" importlib-metadata = ">=6.0.0,<6.1.0" setuptools = ">=16.0" -[[package]] -name = "opentelemetry-exporter-jaeger-thrift" -version = "1.18.0" -description = "Jaeger Thrift Exporter for OpenTelemetry" -category = "dev" -optional = false -python-versions = ">=3.7" -files = [ - {file = "opentelemetry_exporter_jaeger_thrift-1.18.0-py3-none-any.whl", hash = "sha256:fd90f858c5bb0ab214f8862f90a5196dc83821ae37d9ac731d0162d945ef5ca3"}, - {file = "opentelemetry_exporter_jaeger_thrift-1.18.0.tar.gz", hash = "sha256:39accc3a5ffe601afa5ca4184dc5d4da3b1a266038ea10fadfb97bf25551f9d5"}, -] - -[package.dependencies] -opentelemetry-api = ">=1.3,<2.0" -opentelemetry-sdk = ">=1.11,<2.0" -thrift = ">=0.10.0" - [[package]] name = "opentelemetry-exporter-otlp-proto-common" version = "1.18.0" @@ -1271,18 +1254,18 @@ files = [ [[package]] name = "temporalio" -version = "1.2.0" +version = "1.3.0" description = "Temporal.io Python SDK" category = "main" optional = false python-versions = ">=3.7,<4.0" files = [ - {file = "temporalio-1.2.0-cp37-abi3-macosx_10_9_x86_64.whl", hash = "sha256:66c7e3e072eed1c40ef42c693eb47fb9024bb7ac0f31c34d3eada796d43e9728"}, - {file = "temporalio-1.2.0-cp37-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:1359d65ff302d2d446d830aade8939727e32418909fb8b0cf2490891ad2ef0be"}, - {file = "temporalio-1.2.0-cp37-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d6a1dd159b968ec85589ab5d20c5899bf4a19c5ac736f30364b1b3fd85115f82"}, - {file = "temporalio-1.2.0-cp37-abi3-win_amd64.whl", hash = "sha256:60f4332531922387b72a306d8db350526185aa941d670fd1169daa641dd61ff4"}, - {file = "temporalio-1.2.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:0872bad3d694322140f8513e1bf3da1cbce057acec0ffd10aeefdc1ac05a3605"}, - {file = "temporalio-1.2.0.tar.gz", hash = "sha256:bb8d68d4a7c3208bd98df082c42fad3e909a218ca425ad5546208e88472a1bcf"}, + {file = "temporalio-1.3.0-cp37-abi3-macosx_10_9_x86_64.whl", hash = "sha256:174c4bd116df56ad9e07f7ca12fc4153af48df0bf95ae7de9753169af7db7ac7"}, + {file = "temporalio-1.3.0-cp37-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5d169e0a82f014d59b628a9a51a24baed78c770ebb6abe85bdd17ca50a9abffe"}, + {file = "temporalio-1.3.0-cp37-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3ba8ab00b1a7a9444220f19e49557659901a00901a11eb9787886f2a19539699"}, + {file = "temporalio-1.3.0-cp37-abi3-win_amd64.whl", hash = "sha256:6f98de2414167e341cf16d7d9aab4ef3fe6ea5381867cd2dfa85564a5109d17b"}, + {file = "temporalio-1.3.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:8dd07c5e6bd3b5c8ef211b6761d9a00f647481b703b43931e8ff161e4a59e23d"}, + {file = "temporalio-1.3.0.tar.gz", hash = "sha256:0eab4916ec9383d59364ab764e6b7e1aa7df8189c5ade969de4bac4e121c95fd"}, ] [package.dependencies] @@ -1297,25 +1280,6 @@ typing-extensions = ">=4.2.0,<5.0.0" grpc = ["grpcio (>=1.48.0,<2.0.0)"] opentelemetry = ["opentelemetry-api (>=1.11.1,<2.0.0)", "opentelemetry-sdk (>=1.11.1,<2.0.0)"] -[[package]] -name = "thrift" -version = "0.16.0" -description = "Python bindings for the Apache Thrift RPC system" -category = "dev" -optional = false -python-versions = "*" -files = [ - {file = "thrift-0.16.0.tar.gz", hash = "sha256:2b5b6488fcded21f9d312aa23c9ff6a0195d0f6ae26ddbd5ad9e3e25dfc14408"}, -] - -[package.dependencies] -six = ">=1.7.2" - -[package.extras] -all = ["tornado (>=4.0)", "twisted"] -tornado = ["tornado (>=4.0)"] -twisted = ["twisted"] - [[package]] name = "tomli" version = "2.0.1" @@ -1597,4 +1561,4 @@ testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more [metadata] lock-version = "2.0" python-versions = "^3.7" -content-hash = "46df4d045bef1fdf5fa313c04089afc719426bf90b837dd26b1ecab016775e8c" +content-hash = "7344c1d148fc54b9812875e8d7e5d93adc9848c8085040e0f6d7f806e7034548" diff --git a/pyproject.toml b/pyproject.toml index be4d9990..63840b25 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,7 +17,7 @@ packages = [ [tool.poetry.dependencies] python = "^3.7" -temporalio = "^1.1.0" +temporalio = "^1.3.0" [tool.poetry.dev-dependencies] black = "^22.3.0" diff --git a/worker_versioning/README.md b/worker_versioning/README.md new file mode 100644 index 00000000..04f958bf --- /dev/null +++ b/worker_versioning/README.md @@ -0,0 +1,12 @@ +# Worker Versioning Sample + +This sample shows you how you can use the [Worker Versioning](https://docs.temporal.io/workers#worker-versioning) +feature to deploy incompatible changes to workflow code more easily. + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory: + + poetry run python example.py + +This will add some Build IDs to a Task Queue, and will also run Workers with those versions to show how you can +mark add versions, mark them as compatible (or not) with one another, and run Workers at specific versions. You'll +see that only the workers only process Workflow Tasks assigned versions they are compatible with. diff --git a/worker_versioning/__init__.py b/worker_versioning/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/worker_versioning/activities.py b/worker_versioning/activities.py new file mode 100644 index 00000000..4115e0fd --- /dev/null +++ b/worker_versioning/activities.py @@ -0,0 +1,11 @@ +from temporalio import activity + + +@activity.defn +async def greet(inp: str) -> str: + return f"Hi from {inp}" + + +@activity.defn +async def super_greet(inp: str, some_number: int) -> str: + return f"Hi from {inp} with {some_number}" diff --git a/worker_versioning/example.py b/worker_versioning/example.py new file mode 100644 index 00000000..97354303 --- /dev/null +++ b/worker_versioning/example.py @@ -0,0 +1,116 @@ +import asyncio +import uuid + +from temporalio.client import BuildIdOpAddNewCompatible, BuildIdOpAddNewDefault, Client +from temporalio.worker import Worker + +from worker_versioning.activities import greet, super_greet +from worker_versioning.workflow_v1 import MyWorkflow as MyWorkflowV1 +from worker_versioning.workflow_v1_1 import MyWorkflow as MyWorkflowV1_1 +from worker_versioning.workflow_v2 import MyWorkflow as MyWorkflowV2 + + +async def main(): + client = await Client.connect("localhost:7233") + task_queue = f"worker-versioning-{uuid.uuid4()}" + + # Start a 1.0 worker + async with Worker( + client, + task_queue=task_queue, + workflows=[MyWorkflowV1], + activities=[greet, super_greet], + build_id="1.0", + use_worker_versioning=True, + ): + # Add 1.0 as the default version for the queue + await client.update_worker_build_id_compatibility( + task_queue, BuildIdOpAddNewDefault("1.0") + ) + + # Start a workflow which will run on the 1.0 worker + handle = await client.start_workflow( + MyWorkflowV1.run, + task_queue=task_queue, + id=f"worker-versioning-v1-{uuid.uuid4()}", + ) + # Signal the workflow to proceed + await handle.signal(MyWorkflowV1.proceeder, "go") + + # Give a chance for the worker to process the signal + # TODO Better? + await asyncio.sleep(1) + + # Add 1.1 as the default version for the queue, compatible with 1.0 + await client.update_worker_build_id_compatibility( + task_queue, BuildIdOpAddNewCompatible("1.1", "1.0") + ) + + # Stop the old worker, and start a 1.1 worker. We do this to speed along the example, since the + # 1.0 worker may continue to process tasks briefly after we make 1.1 the new default. + async with Worker( + client, + task_queue=task_queue, + workflows=[MyWorkflowV1_1], + activities=[greet, super_greet], + build_id="1.1", + use_worker_versioning=True, + ): + # Continue driving the workflow. Take note that the new version of the workflow run by the 1.1 + # worker is the one that takes over! You might see a workflow task timeout, if the 1.0 worker is + # processing a task as the version update happens. That's normal. + await handle.signal(MyWorkflowV1.proceeder, "go") + + # Add a new *incompatible* version to the task queue, which will become the new overall default for the queue. + await client.update_worker_build_id_compatibility( + task_queue, BuildIdOpAddNewDefault("2.0") + ) + + # Start a 2.0 worker + async with Worker( + client, + task_queue=task_queue, + workflows=[MyWorkflowV2], + activities=[greet, super_greet], + build_id="2.0", + use_worker_versioning=True, + ): + # Start a new workflow. Note that it will run on the new 2.0 version, without the client invocation changing + # at all! Note here we can use `MyWorkflowV1.run` because the signature of the workflow has not changed. + handle2 = await client.start_workflow( + MyWorkflowV1.run, + task_queue=task_queue, + id=f"worker-versioning-v2-{uuid.uuid4()}", + ) + + # Drive both workflows once more before concluding them. The first workflow will continue running on the 1.1 + # worker. + await handle.signal(MyWorkflowV1.proceeder, "go") + await handle2.signal(MyWorkflowV1.proceeder, "go") + await handle.signal(MyWorkflowV1.proceeder, "finish") + await handle2.signal(MyWorkflowV1.proceeder, "finish") + + # Wait for both workflows to complete + await handle.result() + await handle2.result() + + # Lastly we'll demonstrate how you can use the gRPC api to determine if certain build IDs are ready to be + # retired. There's more information in the documentation, but here's a quick example that shows us how to + # tell when the 1.0 worker can be retired: + + # There is a 5 minute buffer before we will consider IDs no longer reachable by new workflows, to + # account for replication in multi-cluster setups. Uncomment the following line to wait long enough to see + # the 1.0 worker become unreachable. + # await asyncio.sleep(60 * 5) + reachability = await client.get_worker_task_reachability( + build_ids=["2.0", "1.0", "1.1"] + ) + + if not reachability.build_id_reachability["1.0"].task_queue_reachability[ + task_queue + ]: + print("1.0 is ready to be retired!") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/worker_versioning/workflow_v1.py b/worker_versioning/workflow_v1.py new file mode 100644 index 00000000..1cef9095 --- /dev/null +++ b/worker_versioning/workflow_v1.py @@ -0,0 +1,27 @@ +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from worker_versioning.activities import greet + + +@workflow.defn +class MyWorkflow: + """The 1.0 version of the workflow we'll be making changes to""" + + should_finish: bool = False + + @workflow.run + async def run(self) -> str: + workflow.logger.info("Running workflow V1") + await workflow.wait_condition(lambda: self.should_finish) + return "Concluded workflow on V1" + + @workflow.signal + async def proceeder(self, inp: str): + await workflow.execute_activity( + greet, "V1", start_to_close_timeout=timedelta(seconds=5) + ) + if inp == "finish": + self.should_finish = True diff --git a/worker_versioning/workflow_v1_1.py b/worker_versioning/workflow_v1_1.py new file mode 100644 index 00000000..e2f22943 --- /dev/null +++ b/worker_versioning/workflow_v1_1.py @@ -0,0 +1,45 @@ +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from worker_versioning.activities import greet, super_greet + + +@workflow.defn +class MyWorkflow: + """ + The 1.1 version of the workflow, which is compatible with the first version. + + The compatible changes we've made are: + - Altering the log lines + - Using the `patched` API to properly introduce branching behavior while maintaining + compatibility + """ + + should_finish: bool = False + + @workflow.run + async def run(self) -> str: + workflow.logger.info("Running workflow V1.1") + await workflow.wait_condition(lambda: self.should_finish) + return "Concluded workflow on V1.1" + + @workflow.signal + async def proceeder(self, inp: str): + if workflow.patched("different-activity"): + await workflow.execute_activity( + super_greet, + args=["V1.1", 100], + start_to_close_timeout=timedelta(seconds=5), + ) + else: + # Note it is a valid compatible change to alter the input to an activity. However, because + # we're using the patched API, this branch would only be taken if the workflow was started on + # a v1 worker. + await workflow.execute_activity( + greet, "V1.1", start_to_close_timeout=timedelta(seconds=5) + ) + + if inp == "finish": + self.should_finish = True diff --git a/worker_versioning/workflow_v2.py b/worker_versioning/workflow_v2.py new file mode 100644 index 00000000..dcb0a20e --- /dev/null +++ b/worker_versioning/workflow_v2.py @@ -0,0 +1,36 @@ +import asyncio +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from worker_versioning.activities import greet + + +@workflow.defn +class MyWorkflow: + """ + The 2.0 version of the workflow, which is fully incompatible with the other workflows, since it + alters the sequence of commands without using `patched`. + """ + + should_finish: bool = False + + @workflow.run + async def run(self) -> str: + workflow.logger.info("Running workflow V2") + await workflow.wait_condition(lambda: self.should_finish) + return "Concluded workflow on V2" + + @workflow.signal + async def proceeder(self, inp: str): + await asyncio.sleep(1) + await workflow.execute_activity( + greet, "V2", start_to_close_timeout=timedelta(seconds=5) + ) + await workflow.execute_activity( + greet, "V2", start_to_close_timeout=timedelta(seconds=5) + ) + + if inp == "finish": + self.should_finish = True From c587d20647d26b072125f2f8d151c30ad884fb4c Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Fri, 20 Oct 2023 07:29:52 -0500 Subject: [PATCH 36/84] Gevent sample (#84) --- .github/workflows/ci.yml | 10 +- README.md | 1 + gevent_async/README.md | 28 ++++ gevent_async/__init__.py | 0 gevent_async/activity.py | 25 ++++ gevent_async/executor.py | 41 ++++++ gevent_async/starter.py | 40 ++++++ gevent_async/test/__init__.py | 0 gevent_async/test/run_combined.py | 56 ++++++++ gevent_async/worker.py | 76 +++++++++++ gevent_async/workflow.py | 34 +++++ poetry.lock | 217 +++++++++++++++++++++++++++++- pyproject.toml | 4 + 13 files changed, 530 insertions(+), 2 deletions(-) create mode 100644 gevent_async/README.md create mode 100644 gevent_async/__init__.py create mode 100644 gevent_async/activity.py create mode 100644 gevent_async/executor.py create mode 100644 gevent_async/starter.py create mode 100644 gevent_async/test/__init__.py create mode 100644 gevent_async/test/run_combined.py create mode 100644 gevent_async/worker.py create mode 100644 gevent_async/workflow.py diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index fae3c740..03a3826b 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -12,7 +12,7 @@ jobs: strategy: fail-fast: true matrix: - python: ["3.7", "3.10"] + python: ["3.7", "3.11"] os: [ubuntu-latest, macos-latest, windows-latest] runs-on: ${{ matrix.os }} steps: @@ -32,3 +32,11 @@ jobs: - run: poe test -s -o log_cli_level=DEBUG - run: poe test -s -o log_cli_level=DEBUG --workflow-environment time-skipping + # On non-3.7, run gevent test + - name: Gevent test + if: ${{ matrix.python != '3.7' }} + run: | + poetry install --with gevent + poetry run python gevent_async/test/run_combined.py + + diff --git a/README.md b/README.md index c32b301f..0ef72176 100644 --- a/README.md +++ b/README.md @@ -56,6 +56,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [custom_converter](custom_converter) - Use a custom payload converter to handle custom types. * [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. * [encryption](encryption) - Apply end-to-end encryption for all input/output. +* [gevent_async](gevent_async) - Combine gevent and Temporal. * [open_telemetry](open_telemetry) - Trace workflows with OpenTelemetry. * [patching](patching) - Alter workflows safely with `patch` and `deprecate_patch`. * [polling](polling) - Recommended implementation of an activity that needs to periodically poll an external resource waiting its successful completion. diff --git a/gevent_async/README.md b/gevent_async/README.md new file mode 100644 index 00000000..9b9bdff3 --- /dev/null +++ b/gevent_async/README.md @@ -0,0 +1,28 @@ +# Gevent Sample + +This sample shows how to run Temporal in an environment that gevent has patched. + +Gevent is built to patch Python libraries to attempt to seamlessly convert threaded code into coroutine-based code. +However, it is well known within the gevent community that it does not work well with `asyncio`, which is the modern +Python approach to coroutines. Temporal leverages `asyncio` which means by default it is incompatible with gevent. Users +are encouraged to abandon gevent in favor of more modern approaches where they can but it is not always possible. + +This sample shows how to use a customized gevent executor to run `asyncio` Temporal clients, workers, activities, and +workflows. + +For this sample, the optional `gevent` dependency group must be included. To include, run: + + poetry install --with gevent + +To run the sample, first see [README.md](../README.md) for prerequisites such as having a localhost Temporal server +running. Then, run the following from this directory to start the worker: + + poetry run python worker.py + +This will start the worker. The worker has a workflow and two activities, one `asyncio` based and one gevent based. Now +in another terminal, run the following from this directory to execute the workflow: + + poetry run python starter.py + +The workflow should run and complete with the hello result. Note on the worker terminal there will be logs of the +workflow and activity executions. \ No newline at end of file diff --git a/gevent_async/__init__.py b/gevent_async/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/gevent_async/activity.py b/gevent_async/activity.py new file mode 100644 index 00000000..2fbabe4b --- /dev/null +++ b/gevent_async/activity.py @@ -0,0 +1,25 @@ +from dataclasses import dataclass + +import gevent +from temporalio import activity + + +@dataclass +class ComposeGreetingInput: + greeting: str + name: str + + +@activity.defn +async def compose_greeting_async(input: ComposeGreetingInput) -> str: + activity.logger.info(f"Running async activity with parameter {input}") + return f"{input.greeting}, {input.name}!" + + +@activity.defn +def compose_greeting_sync(input: ComposeGreetingInput) -> str: + activity.logger.info( + f"Running sync activity with parameter {input}, " + f"in greenlet: {gevent.getcurrent()}" + ) + return f"{input.greeting}, {input.name}!" diff --git a/gevent_async/executor.py b/gevent_async/executor.py new file mode 100644 index 00000000..16c8896e --- /dev/null +++ b/gevent_async/executor.py @@ -0,0 +1,41 @@ +import functools +from concurrent.futures import Future +from typing import Callable, TypeVar + +from gevent import threadpool +from typing_extensions import ParamSpec + +T = TypeVar("T") +P = ParamSpec("P") + + +class GeventExecutor(threadpool.ThreadPoolExecutor): + def submit( + self, fn: Callable[P, T], *args: P.args, **kwargs: P.kwargs + ) -> Future[T]: + # Gevent's returned futures do not map well to Python futures, so we + # must translate. We can't just use set_result/set_exception because + # done callbacks are not always called in gevent's case and it doesn't + # seem to support cancel, so we instead wrap the caller function. + python_fut: Future[T] = Future() + + @functools.wraps(fn) + def wrapper(*w_args: P.args, **w_kwargs: P.kwargs) -> None: + try: + result = fn(*w_args, **w_kwargs) + # Swallow InvalidStateError in case Python future was cancelled + try: + python_fut.set_result(result) + except: + pass + except Exception as exc: + # Swallow InvalidStateError in case Python future was cancelled + try: + python_fut.set_exception(exc) + except: + pass + + # Submit our wrapper to gevent + super().submit(wrapper, *args, **kwargs) + # Return Python future to user + return python_fut diff --git a/gevent_async/starter.py b/gevent_async/starter.py new file mode 100644 index 00000000..43e8356b --- /dev/null +++ b/gevent_async/starter.py @@ -0,0 +1,40 @@ +# Init gevent +from gevent import monkey + +monkey.patch_all() + +import asyncio +import logging + +from temporalio.client import Client + +from gevent_async import workflow +from gevent_async.executor import GeventExecutor + + +def main(): + logging.basicConfig(level=logging.INFO) + + # Create single-worker gevent executor and run asyncio.run(async_main()) in + # it, waiting for result. This executor cannot be used for anything else in + # Temporal, it is just a single thread for running asyncio. + with GeventExecutor(max_workers=1) as executor: + executor.submit(asyncio.run, async_main()).result() + + +async def async_main(): + # Connect client + client = await Client.connect("localhost:7233") + + # Run workflow + result = await client.execute_workflow( + workflow.GreetingWorkflow.run, + "Temporal", + id="gevent_async-workflow-id", + task_queue="gevent_async-task-queue", + ) + logging.info(f"Workflow result: {result}") + + +if __name__ == "__main__": + main() diff --git a/gevent_async/test/__init__.py b/gevent_async/test/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/gevent_async/test/run_combined.py b/gevent_async/test/run_combined.py new file mode 100644 index 00000000..4946cb16 --- /dev/null +++ b/gevent_async/test/run_combined.py @@ -0,0 +1,56 @@ +# Init gevent +from gevent import monkey + +monkey.patch_all() + +import asyncio +import logging + +from temporalio.testing import WorkflowEnvironment +from temporalio.worker import Worker + +from gevent_async import activity, workflow +from gevent_async.executor import GeventExecutor + +# This basically combines ../worker.py and ../starter.py for use by CI to +# confirm this works in all environments + + +def main(): + logging.basicConfig(level=logging.INFO) + with GeventExecutor(max_workers=1) as executor: + executor.submit(asyncio.run, async_main()).result() + + +async def async_main(): + logging.info("Starting local server") + async with await WorkflowEnvironment.start_local() as env: + logging.info("Starting worker") + with GeventExecutor(max_workers=200) as executor: + async with Worker( + env.client, + task_queue="gevent_async-task-queue", + workflows=[workflow.GreetingWorkflow], + activities=[ + activity.compose_greeting_async, + activity.compose_greeting_sync, + ], + activity_executor=executor, + workflow_task_executor=executor, + max_concurrent_activities=100, + max_concurrent_workflow_tasks=100, + ): + logging.info("Running workflow") + result = await env.client.execute_workflow( + workflow.GreetingWorkflow.run, + "Temporal", + id="gevent_async-workflow-id", + task_queue="gevent_async-task-queue", + ) + if result != "Hello, Temporal!": + raise RuntimeError(f"Unexpected result: {result}") + logging.info(f"Workflow complete, result: {result}") + + +if __name__ == "__main__": + main() diff --git a/gevent_async/worker.py b/gevent_async/worker.py new file mode 100644 index 00000000..9b4945cf --- /dev/null +++ b/gevent_async/worker.py @@ -0,0 +1,76 @@ +# Init gevent +from gevent import monkey + +monkey.patch_all() + +import asyncio +import logging +import signal + +import gevent +from temporalio.client import Client +from temporalio.worker import Worker + +from gevent_async import activity, workflow +from gevent_async.executor import GeventExecutor + + +def main(): + logging.basicConfig(level=logging.INFO) + + # Create single-worker gevent executor and run asyncio.run(async_main()) in + # it, waiting for result. This executor cannot be used for anything else in + # Temporal, it is just a single thread for running asyncio. This means that + # inside of async_main we must create another executor specifically for + # executing activity and workflow tasks. + with GeventExecutor(max_workers=1) as executor: + executor.submit(asyncio.run, async_main()).result() + + +async def async_main(): + # Create ctrl+c handler. We do this by telling gevent on SIGINT to set the + # asyncio event. But asyncio calls are not thread safe, so we have to invoke + # it via call_soon_threadsafe. + interrupt_event = asyncio.Event() + gevent.signal_handler( + signal.SIGINT, + asyncio.get_running_loop().call_soon_threadsafe, + interrupt_event.set, + ) + + # Connect client + client = await Client.connect("localhost:7233") + + # Create an executor for use by Temporal. This cannot be the outer one + # running this async main. The max_workers here needs to have enough room to + # support the max concurrent activities/workflows settings. + with GeventExecutor(max_workers=200) as executor: + + # Run a worker for the workflow and activities + async with Worker( + client, + task_queue="gevent_async-task-queue", + workflows=[workflow.GreetingWorkflow], + activities=[ + activity.compose_greeting_async, + activity.compose_greeting_sync, + ], + # Set the executor for activities (only used for non-async + # activities) and workflow tasks + activity_executor=executor, + workflow_task_executor=executor, + # Set the max concurrent activities/workflows. These are the same as + # the defaults, but this makes it clear that the 100 + 100 = 200 for + # max_workers settings. + max_concurrent_activities=100, + max_concurrent_workflow_tasks=100, + ): + + # Wait until interrupted + logging.info("Worker started, ctrl+c to exit") + await interrupt_event.wait() + logging.info("Shutting down") + + +if __name__ == "__main__": + main() diff --git a/gevent_async/workflow.py b/gevent_async/workflow.py new file mode 100644 index 00000000..bc192639 --- /dev/null +++ b/gevent_async/workflow.py @@ -0,0 +1,34 @@ +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from gevent_async.activity import ( + ComposeGreetingInput, + compose_greeting_async, + compose_greeting_sync, + ) + + +@workflow.defn +class GreetingWorkflow: + @workflow.run + async def run(self, name: str) -> str: + workflow.logger.info("Running workflow with parameter %s" % name) + + # Run an async and a sync activity + async_res = await workflow.execute_activity( + compose_greeting_async, + ComposeGreetingInput("Hello", name), + start_to_close_timeout=timedelta(seconds=10), + ) + sync_res = await workflow.execute_activity( + compose_greeting_sync, + ComposeGreetingInput("Hello", name), + start_to_close_timeout=timedelta(seconds=10), + ) + + # Confirm the same, return one + if async_res != sync_res: + raise ValueError("Results are not the same") + return sync_res diff --git a/poetry.lock b/poetry.lock index 1aa4dc7a..d651d8e9 100644 --- a/poetry.lock +++ b/poetry.lock @@ -590,6 +590,72 @@ files = [ {file = "frozenlist-1.3.3.tar.gz", hash = "sha256:58bcc55721e8a90b88332d6cd441261ebb22342e238296bb330968952fbb3a6a"}, ] +[[package]] +name = "gevent" +version = "23.9.1" +description = "Coroutine-based network library" +category = "dev" +optional = false +python-versions = ">=3.8" +files = [ + {file = "gevent-23.9.1-cp310-cp310-macosx_11_0_universal2.whl", hash = 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= { version = "^23.9.1", python = ">=3.8" } } + [tool.poetry.group.open_telemetry] optional = true [tool.poetry.group.open_telemetry.dependencies] From 41bb0ca907a98efa0d0d4663055bbc0c74634a3c Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Tue, 24 Oct 2023 14:30:00 -0500 Subject: [PATCH 37/84] DSL sample (#87) Fixes #7 --- .github/workflows/ci.yml | 2 +- README.md | 1 + dsl/README.md | 29 +++++++++++++ dsl/__init__.py | 0 dsl/activities.py | 28 +++++++++++++ dsl/starter.py | 46 +++++++++++++++++++++ dsl/worker.py | 44 ++++++++++++++++++++ dsl/workflow.py | 85 ++++++++++++++++++++++++++++++++++++++ dsl/workflow1.yaml | 28 +++++++++++++ dsl/workflow2.yaml | 58 ++++++++++++++++++++++++++ poetry.lock | 88 +++++++++++++++++++++++++++++++++++++++- pyproject.toml | 4 ++ 12 files changed, 411 insertions(+), 2 deletions(-) create mode 100644 dsl/README.md create mode 100644 dsl/__init__.py create mode 100644 dsl/activities.py create mode 100644 dsl/starter.py create mode 100644 dsl/worker.py create mode 100644 dsl/workflow.py create mode 100644 dsl/workflow1.yaml create mode 100644 dsl/workflow2.yaml diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 03a3826b..1bac467d 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -27,7 +27,7 @@ jobs: # Using fixed Poetry version until # https://github.com/python-poetry/poetry/pull/7694 is fixed - run: python -m pip install --upgrade wheel "poetry==1.4.0" poethepoet - - run: poetry install --with pydantic + - run: poetry install --with pydantic --with dsl - run: poe lint - run: poe test -s -o log_cli_level=DEBUG - run: poe test -s -o log_cli_level=DEBUG --workflow-environment time-skipping diff --git a/README.md b/README.md index 0ef72176..cffcaeeb 100644 --- a/README.md +++ b/README.md @@ -55,6 +55,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [activity_worker](activity_worker) - Use Python activities from a workflow in another language. * [custom_converter](custom_converter) - Use a custom payload converter to handle custom types. * [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. +* [dsl](dsl) - DSL workflow that executes steps defined in a YAML file. * [encryption](encryption) - Apply end-to-end encryption for all input/output. * [gevent_async](gevent_async) - Combine gevent and Temporal. * [open_telemetry](open_telemetry) - Trace workflows with OpenTelemetry. diff --git a/dsl/README.md b/dsl/README.md new file mode 100644 index 00000000..4000b3a3 --- /dev/null +++ b/dsl/README.md @@ -0,0 +1,29 @@ +# DSL Sample + +This sample shows how to have a workflow interpret/invoke arbitrary steps defined in a DSL. It is similar to the DSL +samples [in TypeScript](https://github.com/temporalio/samples-typescript/tree/main/dsl-interpreter) and +[in Go](https://github.com/temporalio/samples-go/tree/main/dsl). + +For this sample, the optional `dsl` dependency group must be included. To include, run: + + poetry install --with dsl + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the +worker: + + poetry run python worker.py + +This will start the worker. Then, in another terminal, run the following to execute a workflow of steps defined in +[workflow1.yaml](workflow1.yaml): + + poetry run python starter.py workflow1.yaml + +This will run the workflow and show the final variables that the workflow returns. Looking in the worker terminal, each +step executed will be visible. + +Similarly we can do the same for the more advanced [workflow2.yaml](workflow2.yaml) file: + + poetry run python starter.py workflow2.yaml + +This sample gives a guide of how one can write a workflow to interpret arbitrary steps from a user-provided DSL. Many +DSL models are more advanced and are more specific to conform to business logic needs. \ No newline at end of file diff --git a/dsl/__init__.py b/dsl/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/dsl/activities.py b/dsl/activities.py new file mode 100644 index 00000000..cba79253 --- /dev/null +++ b/dsl/activities.py @@ -0,0 +1,28 @@ +from temporalio import activity + + +class DSLActivities: + @activity.defn + async def activity1(self, arg: str) -> str: + activity.logger.info(f"Executing activity1 with arg: {arg}") + return f"[result from activity1: {arg}]" + + @activity.defn + async def activity2(self, arg: str) -> str: + activity.logger.info(f"Executing activity2 with arg: {arg}") + return f"[result from activity2: {arg}]" + + @activity.defn + async def activity3(self, arg1: str, arg2: str) -> str: + activity.logger.info(f"Executing activity3 with args: {arg1} and {arg2}") + return f"[result from activity3: {arg1} {arg2}]" + + @activity.defn + async def activity4(self, arg: str) -> str: + activity.logger.info(f"Executing activity4 with arg: {arg}") + return f"[result from activity4: {arg}]" + + @activity.defn + async def activity5(self, arg1: str, arg2: str) -> str: + activity.logger.info(f"Executing activity5 with args: {arg1} and {arg2}") + return f"[result from activity5: {arg1} {arg2}]" diff --git a/dsl/starter.py b/dsl/starter.py new file mode 100644 index 00000000..e530b10e --- /dev/null +++ b/dsl/starter.py @@ -0,0 +1,46 @@ +import asyncio +import logging +import sys +import uuid + +import dacite +import yaml +from temporalio.client import Client + +from dsl.workflow import DSLInput, DSLWorkflow + + +async def main(dsl_yaml: str) -> None: + # Convert the YAML to our dataclass structure. We use PyYAML + dacite to do + # this but it can be done any number of ways. + dsl_input = dacite.from_dict(DSLInput, yaml.safe_load(dsl_yaml)) + + # Connect client + client = await Client.connect("localhost:7233") + + # Run workflow + result = await client.execute_workflow( + DSLWorkflow.run, + dsl_input, + id=f"dsl-workflow-id-{uuid.uuid4()}", + task_queue="dsl-task-queue", + ) + logging.info( + f"Final variables:\n " + + "\n ".join((f"{k}: {v}" for k, v in result.items())) + ) + + +if __name__ == "__main__": + logging.basicConfig(level=logging.INFO) + + # Require the YAML file as an argument. We read this _outside_ of the async + # def function because thread-blocking IO should never happen in async def + # functions. + if len(sys.argv) != 2: + raise RuntimeError("Expected single argument for YAML file") + with open(sys.argv[1], "r") as yaml_file: + dsl_yaml = yaml_file.read() + + # Run + asyncio.run(main(dsl_yaml)) diff --git a/dsl/worker.py b/dsl/worker.py new file mode 100644 index 00000000..9945492e --- /dev/null +++ b/dsl/worker.py @@ -0,0 +1,44 @@ +import asyncio +import logging + +from temporalio.client import Client +from temporalio.worker import Worker + +from dsl.activities import DSLActivities +from dsl.workflow import DSLWorkflow + +interrupt_event = asyncio.Event() + + +async def main(): + # Connect client + client = await Client.connect("localhost:7233") + + # Run a worker for the activities and workflow + activities = DSLActivities() + async with Worker( + client, + task_queue="dsl-task-queue", + activities=[ + activities.activity1, + activities.activity2, + activities.activity3, + activities.activity4, + activities.activity5, + ], + workflows=[DSLWorkflow], + ): + # Wait until interrupted + logging.info("Worker started, ctrl+c to exit") + await interrupt_event.wait() + logging.info("Shutting down") + + +if __name__ == "__main__": + logging.basicConfig(level=logging.INFO) + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/dsl/workflow.py b/dsl/workflow.py new file mode 100644 index 00000000..53cf3ec2 --- /dev/null +++ b/dsl/workflow.py @@ -0,0 +1,85 @@ +from __future__ import annotations + +import asyncio +import dataclasses +from dataclasses import dataclass +from datetime import timedelta +from typing import Any, Dict, List, Optional, Union + +from temporalio import workflow + + +@dataclass +class DSLInput: + root: Statement + variables: Dict[str, Any] = dataclasses.field(default_factory=dict) + + +@dataclass +class ActivityStatement: + activity: ActivityInvocation + + +@dataclass +class ActivityInvocation: + name: str + arguments: List[str] = dataclasses.field(default_factory=list) + result: Optional[str] = None + + +@dataclass +class SequenceStatement: + sequence: Sequence + + +@dataclass +class Sequence: + elements: List[Statement] + + +@dataclass +class ParallelStatement: + parallel: Parallel + + +@dataclass +class Parallel: + branches: List[Statement] + + +Statement = Union[ActivityStatement, SequenceStatement, ParallelStatement] + + +@workflow.defn +class DSLWorkflow: + @workflow.run + async def run(self, input: DSLInput) -> Dict[str, Any]: + self.variables = dict(input.variables) + workflow.logger.info("Running DSL workflow") + await self.execute_statement(input.root) + workflow.logger.info("DSL workflow completed") + return self.variables + + async def execute_statement(self, stmt: Statement) -> None: + if isinstance(stmt, ActivityStatement): + # Invoke activity loading arguments from variables and optionally + # storing result as a variable + result = await workflow.execute_activity( + stmt.activity.name, + args=[self.variables.get(arg, "") for arg in stmt.activity.arguments], + start_to_close_timeout=timedelta(minutes=1), + ) + if stmt.activity.result: + self.variables[stmt.activity.result] = result + elif isinstance(stmt, SequenceStatement): + # Execute each statement in order + for elem in stmt.sequence.elements: + await self.execute_statement(elem) + elif isinstance(stmt, ParallelStatement): + # Execute all in parallel. Note, this will raise an exception when + # the first activity fails and will not cancel the others. We could + # store tasks and cancel if we wanted. In newer Python versions this + # would use a TaskGroup instead. + await asyncio.gather( + *[self.execute_statement(branch) for branch in stmt.parallel.branches] + ) diff --git a/dsl/workflow1.yaml b/dsl/workflow1.yaml new file mode 100644 index 00000000..85da5236 --- /dev/null +++ b/dsl/workflow1.yaml @@ -0,0 +1,28 @@ +# This sample workflows execute 3 steps in sequence. +# 1) Activity1, takes arg1 as input, and put result as result1. +# 2) Activity2, takes result1 as input, and put result as result2. +# 3) Activity3, takes args2 and result2 as input, and put result as result3. + +variables: + arg1: value1 + arg2: value2 + +root: + sequence: + elements: + - activity: + name: activity1 + arguments: + - arg1 + result: result1 + - activity: + name: activity2 + arguments: + - result1 + result: result2 + - activity: + name: activity3 + arguments: + - arg2 + - result2 + result: result3 \ No newline at end of file diff --git a/dsl/workflow2.yaml b/dsl/workflow2.yaml new file mode 100644 index 00000000..cf19fdd6 --- /dev/null +++ b/dsl/workflow2.yaml @@ -0,0 +1,58 @@ +# This sample workflow executes 3 steps in sequence. +# 1) activity1, takes arg1 as input, and put result as result1. +# 2) it runs a parallel block which runs below sequence branches in parallel +# 2.1) sequence 1 +# 2.1.1) activity2, takes result1 as input, and put result as result2 +# 2.1.2) activity3, takes arg2 and result2 as input, and put result as result3 +# 2.2) sequence 2 +# 2.2.1) activity4, takes result1 as input, and put result as result4 +# 2.2.2) activity5, takes arg3 and result4 as input, and put result as result5 +# 3) activity3, takes result3 and result5 as input, and put result as result6. + +variables: + arg1: value1 + arg2: value2 + arg3: value3 + +root: + sequence: + elements: + - activity: + name: activity1 + arguments: + - arg1 + result: result1 + - parallel: + branches: + - sequence: + elements: + - activity: + name: activity2 + arguments: + - result1 + result: result2 + - activity: + name: activity3 + arguments: + - arg2 + - result2 + result: result3 + - sequence: + elements: + - activity: + name: activity4 + arguments: + - result1 + result: result4 + - activity: + name: activity5 + arguments: + - arg3 + - result4 + result: result5 + - activity: + name: activity3 + arguments: + - result3 + - result5 + result: result6 \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index d651d8e9..9e75e4ee 100644 --- a/poetry.lock +++ b/poetry.lock @@ -473,6 +473,20 @@ sdist = ["setuptools-rust (>=0.11.4)"] ssh = ["bcrypt (>=3.1.5)"] test = ["hypothesis (>=1.11.4,!=3.79.2)", "iso8601", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-subtests", "pytest-xdist", "pytz"] +[[package]] +name = "dacite" +version = "1.8.1" +description = "Simple creation of data classes from dictionaries." +category = "dev" +optional = false +python-versions = ">=3.6" +files = [ + {file = "dacite-1.8.1-py3-none-any.whl", hash = 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[metadata] lock-version = "2.0" python-versions = "^3.7" -content-hash = "894f811830ab64c86fffe2388f80b61c2fce21b0cb6aa76fbb4e4427eb7d33c6" +content-hash = "218ab0129e03d31c374fc63d3bbb091e414defc98dfc7ad047e13a0653241d38" diff --git a/pyproject.toml b/pyproject.toml index ca854e4d..402e4f19 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,6 +29,10 @@ pytest-asyncio = "^0.18.3" # All sample-specific dependencies are in optional groups below, named after the # sample they apply to +[tool.poetry.group.dsl] +optional = true +dependencies = { pyyaml = "^6.0.1", types-pyyaml = "^6.0.12", dacite = "^1.8.1" } + [tool.poetry.group.encryption] optional = true dependencies = { cryptography = "^38.0.1", aiohttp = "^3.8.1" } From 092ac9cadb32f4c78c83ac649e3fb23f7e8f8b28 Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Wed, 8 Nov 2023 14:36:36 -0600 Subject: [PATCH 38/84] Update to Python SDK 1.4.0 (#94) --- poetry.lock | 18 +++++++++--------- pyproject.toml | 2 +- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/poetry.lock b/poetry.lock index 9e75e4ee..4def73ef 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1470,18 +1470,18 @@ files = [ [[package]] name = "temporalio" -version = "1.3.0" +version = "1.4.0" description = "Temporal.io Python SDK" category = "main" optional = false python-versions = ">=3.7,<4.0" files = [ - {file = "temporalio-1.3.0-cp37-abi3-macosx_10_9_x86_64.whl", hash = "sha256:174c4bd116df56ad9e07f7ca12fc4153af48df0bf95ae7de9753169af7db7ac7"}, - {file = "temporalio-1.3.0-cp37-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5d169e0a82f014d59b628a9a51a24baed78c770ebb6abe85bdd17ca50a9abffe"}, - {file = "temporalio-1.3.0-cp37-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:3ba8ab00b1a7a9444220f19e49557659901a00901a11eb9787886f2a19539699"}, - {file = "temporalio-1.3.0-cp37-abi3-win_amd64.whl", hash = "sha256:6f98de2414167e341cf16d7d9aab4ef3fe6ea5381867cd2dfa85564a5109d17b"}, - {file = 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"^3.7" -temporalio = "^1.3.0" +temporalio = "^1.4.0" [tool.poetry.dev-dependencies] black = "^22.3.0" From ba5a87f63cbd1bd642ac410ed07c65aae0886dde Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Loren=20=E2=98=BA=EF=B8=8F?= <251288+lorensr@users.noreply.github.com> Date: Sat, 11 Nov 2023 21:26:50 -0500 Subject: [PATCH 39/84] Rename Sticky Activities sample (#75) Updated to worker_specific_task_queues --- README.md | 2 +- activity_sticky_queues/README.md | 51 ---------------- .../activity_sticky_queues_activity_test.py | 2 +- .../activity_sticky_worker_workflow_test.py | 2 +- worker_specific_task_queues/README.md | 56 ++++++++++++++++++ .../__init__.py | 0 .../demo_fs/.gitignore | 0 .../starter.py | 6 +- .../all-activitites-on-same-task-queue.png | Bin .../tasks.py | 8 ++- .../worker.py | 8 ++- 11 files changed, 72 insertions(+), 63 deletions(-) delete mode 100644 activity_sticky_queues/README.md create mode 100644 worker_specific_task_queues/README.md rename {activity_sticky_queues => worker_specific_task_queues}/__init__.py (100%) rename {activity_sticky_queues => worker_specific_task_queues}/demo_fs/.gitignore (100%) rename {activity_sticky_queues => worker_specific_task_queues}/starter.py (73%) rename {activity_sticky_queues => worker_specific_task_queues}/static/all-activitites-on-same-task-queue.png (100%) rename {activity_sticky_queues => worker_specific_task_queues}/tasks.py (92%) rename {activity_sticky_queues => worker_specific_task_queues}/worker.py (89%) diff --git a/README.md b/README.md index cffcaeeb..63486fca 100644 --- a/README.md +++ b/README.md @@ -51,7 +51,6 @@ Some examples require extra dependencies. See each sample's directory for specif while running. * [hello_signal](hello/hello_signal.py) - Send signals to a workflow. -* [activity_sticky_queue](activity_sticky_queues) - Uses unique task queues to ensure activities run on specific workers. * [activity_worker](activity_worker) - Use Python activities from a workflow in another language. * [custom_converter](custom_converter) - Use a custom payload converter to handle custom types. * [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. @@ -65,6 +64,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [pydantic_converter](pydantic_converter) - Data converter for using Pydantic models. * [schedules](schedules) - Demonstrates a Workflow Execution that occurs according to a schedule. * [sentry](sentry) - Report errors to Sentry. +* [worker_specific_task_queues](worker_specific_task_queues) - Use unique task queues to ensure activities run on specific workers. * [worker_versioning](worker_versioning) - Use the Worker Versioning feature to more easily version your workflows & other code. ## Test diff --git a/activity_sticky_queues/README.md b/activity_sticky_queues/README.md deleted file mode 100644 index 1c44539f..00000000 --- a/activity_sticky_queues/README.md +++ /dev/null @@ -1,51 +0,0 @@ -# Sticky Activity Queues - -This sample is a Python implementation of the [TypeScript "Sticky Workers" example](https://github.com/temporalio/samples-typescript/tree/main/activities-sticky-queues), full credit for the design to the authors of that sample. A [sticky execution](https://docs.temporal.io/tasks#sticky-execution) is a job distribution design pattern where all workflow computational tasks are executed on a single worker. In the Go and Java SDKs this is explicitly supported via the Session option, but in other SDKs a different approach is required. - -Typical use cases for sticky executions include tasks where interaction with a filesystem is required, such as data processing or interacting with legacy access structures. This example will write text files to folders corresponding to each worker, located in the `demo_fs` folder. In production, these folders would typically be independent machines in a worker cluster. - -This strategy is: - -- Create a `get_available_task_queue` activity that generates a unique task queue name, `unique_worker_task_queue`. -- For activities intended to be "sticky", only register them in one Worker, and have that be the only Worker listening on that `unique_worker_task_queue`. This will be run on a series of `FileProcessing` workflows. -- Execute workflows from the Client like normal. Check the Temporal Web UI to confirm tasks were staying with their respective worker. - -It doesn't matter where the `get_available_task_queue` activity is run, so it can be "non sticky" as per Temporal default behavior. In this demo, `unique_worker_task_queue` is simply a `uuid` initialized in the Worker, but you can inject smart logic here to uniquely identify the Worker, [as Netflix did](https://community.temporal.io/t/using-dynamic-task-queues-for-traffic-routing/3045). - -Activities have been artificially slowed with `time.sleep(3)` to simulate slow activities. - -### Running This Sample - -To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the -worker: - - poetry run python worker.py - -This will start the worker. Then, in another terminal, run the following to execute the workflow: - - poetry run python starter.py - -#### Example output: - -```bash -(temporalio-samples-py3.10) user@machine:~/samples-python/activities_sticky_queues$ poetry run python starter.py -Output checksums: -49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 -49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 -49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 -49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 -49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 -49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 -49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 -49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 -49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 -49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 -``` - -
-Checking the history to see where activities are run -All activities for the one workflow are running against the same task queue, which corresponds to unique workers: - -![image](./static/all-activitites-on-same-task-queue.png) - -
diff --git a/tests/activity_sticky_queues/activity_sticky_queues_activity_test.py b/tests/activity_sticky_queues/activity_sticky_queues_activity_test.py index 8a0889a7..2525ba69 100644 --- a/tests/activity_sticky_queues/activity_sticky_queues_activity_test.py +++ b/tests/activity_sticky_queues/activity_sticky_queues_activity_test.py @@ -1,7 +1,7 @@ from pathlib import Path from unittest import mock -from activity_sticky_queues import tasks +from worker_specific_task_queues import tasks RETURNED_PATH = "valid/path" tasks._get_delay_secs = mock.MagicMock(return_value=0.0001) diff --git a/tests/activity_sticky_queues/activity_sticky_worker_workflow_test.py b/tests/activity_sticky_queues/activity_sticky_worker_workflow_test.py index 58ba824c..fa72e18b 100644 --- a/tests/activity_sticky_queues/activity_sticky_worker_workflow_test.py +++ b/tests/activity_sticky_queues/activity_sticky_worker_workflow_test.py @@ -9,7 +9,7 @@ from temporalio.testing import WorkflowEnvironment from temporalio.worker import Worker -from activity_sticky_queues import tasks +from worker_specific_task_queues import tasks CHECKSUM = "a checksum" RETURNED_PATH = "valid/path" diff --git a/worker_specific_task_queues/README.md b/worker_specific_task_queues/README.md new file mode 100644 index 00000000..8e8e577a --- /dev/null +++ b/worker_specific_task_queues/README.md @@ -0,0 +1,56 @@ +# Worker-Specific Task Queues + +Use a unique Task Queue for each Worker in order to have certain Activities run on a specific Worker. In the Go SDK, this is explicitly supported via the Session option, but in other SDKs a different approach is required. + +Typical use cases include tasks where interaction with a filesystem is required, such as data processing or interacting with legacy access structures. This example will write text files to folders corresponding to each worker, located in the `demo_fs` folder. In production, these folders would typically be independent machines in a worker cluster. + +This strategy is: + +- Each Worker process runs two `Worker`s: + - One `Worker` listens on the `worker_specific_task_queue-distribution-queue` Task Queue. + - Another `Worker` listens on a uniquely generated Task Queue. +- The Workflow and the first Activity are run on `worker_specific_task_queue-distribution-queue`. +- The first Activity returns one of the uniquely generated Task Queues (that only one Worker is listening on—i.e. the **Worker-specific Task Queue**). +- The rest of the Activities do the file processing and are run on the Worker-specific Task Queue. + +Check the Temporal Web UI to confirm tasks were staying with their respective worker. + +It doesn't matter where the `get_available_task_queue` activity is run, so it can be executed on the shared Task Queue. In this demo, `unique_worker_task_queue` is simply a `uuid` initialized in the Worker, but you can inject smart logic here to uniquely identify the Worker, [as Netflix did](https://community.temporal.io/t/using-dynamic-task-queues-for-traffic-routing/3045). + +Activities have been artificially slowed with `time.sleep(3)` to simulate doing more work. + +### Running This Sample + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the +worker: + + poetry run python worker.py + +This will start the worker. Then, in another terminal, run the following to execute the workflow: + + poetry run python starter.py + +#### Example output: + +```bash +(temporalio-samples-py3.10) user@machine:~/samples-python/activities_sticky_queues$ poetry run python starter.py +Output checksums: +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 +``` + +
+Checking the history to see where activities are run +All activities for the one workflow are running against the same task queue, which corresponds to unique workers: + +![image](./static/all-activitites-on-same-task-queue.png) + +
diff --git a/activity_sticky_queues/__init__.py b/worker_specific_task_queues/__init__.py similarity index 100% rename from activity_sticky_queues/__init__.py rename to worker_specific_task_queues/__init__.py diff --git a/activity_sticky_queues/demo_fs/.gitignore b/worker_specific_task_queues/demo_fs/.gitignore similarity index 100% rename from activity_sticky_queues/demo_fs/.gitignore rename to worker_specific_task_queues/demo_fs/.gitignore diff --git a/activity_sticky_queues/starter.py b/worker_specific_task_queues/starter.py similarity index 73% rename from activity_sticky_queues/starter.py rename to worker_specific_task_queues/starter.py index 98c91bfc..c55c63be 100644 --- a/activity_sticky_queues/starter.py +++ b/worker_specific_task_queues/starter.py @@ -3,7 +3,7 @@ from temporalio.client import Client -from activity_sticky_queues.tasks import FileProcessing +from worker_specific_task_queues.tasks import FileProcessing async def main(): @@ -15,8 +15,8 @@ async def main(): for idx in range(10): result = client.execute_workflow( FileProcessing.run, - id=f"activity_sticky_queue-workflow-id-{idx}", - task_queue="activity_sticky_queue-distribution-queue", + id=f"worker_specific_task_queue-workflow-id-{idx}", + task_queue="worker_specific_task_queue-distribution-queue", ) await asyncio.sleep(0.1) futures.append(result) diff --git a/activity_sticky_queues/static/all-activitites-on-same-task-queue.png b/worker_specific_task_queues/static/all-activitites-on-same-task-queue.png similarity index 100% rename from activity_sticky_queues/static/all-activitites-on-same-task-queue.png rename to worker_specific_task_queues/static/all-activitites-on-same-task-queue.png diff --git a/activity_sticky_queues/tasks.py b/worker_specific_task_queues/tasks.py similarity index 92% rename from activity_sticky_queues/tasks.py rename to worker_specific_task_queues/tasks.py index aa74e396..c54eb8b5 100644 --- a/activity_sticky_queues/tasks.py +++ b/worker_specific_task_queues/tasks.py @@ -102,9 +102,11 @@ class FileProcessing: async def run(self) -> str: """Workflow implementing the basic file processing example. - First, a worker is selected randomly. This is the "sticky worker" on which - the workflow runs. This consists of a file download and some processing task, - with a file cleanup if an error occurs. + First, a task queue is selected randomly. A single worker is listening on + this queue, so when we execute all the file processing activities on this + queue, they will all be run on the same worker, and all be able to access + the same file on disk. The activities download the file, do some processing + task on the file, and clean up the file. """ workflow.logger.info("Searching for available worker") unique_worker_task_queue = await workflow.execute_activity( diff --git a/activity_sticky_queues/worker.py b/worker_specific_task_queues/worker.py similarity index 89% rename from activity_sticky_queues/worker.py rename to worker_specific_task_queues/worker.py index 2b8fee9c..30ea18b6 100644 --- a/activity_sticky_queues/worker.py +++ b/worker_specific_task_queues/worker.py @@ -8,7 +8,7 @@ from temporalio.client import Client from temporalio.worker import Worker -from activity_sticky_queues import tasks +from worker_specific_task_queues import tasks interrupt_event = asyncio.Event() @@ -21,7 +21,9 @@ async def main(): random.seed(667) # Create random task queues and build task queue selection function - task_queue: str = f"activity_sticky_queue-host-{UUID(int=random.getrandbits(128))}" + task_queue: str = ( + f"worker_specific_task_queue-host-{UUID(int=random.getrandbits(128))}" + ) @activity.defn(name="get_available_task_queue") async def select_task_queue() -> str: @@ -35,7 +37,7 @@ async def select_task_queue() -> str: run_futures = [] handle = Worker( client, - task_queue="activity_sticky_queue-distribution-queue", + task_queue="worker_specific_task_queue-distribution-queue", workflows=[tasks.FileProcessing], activities=[select_task_queue], ) From 68ba233c5c8e1073d4f5a5c5db9e6e86c940a332 Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Tue, 14 Nov 2023 11:26:04 -0600 Subject: [PATCH 40/84] Fix custom_converter and infrequent_polling samples (#95) Fixes #93 Fixes #90 --- custom_converter/shared.py | 66 ++++++++++++++++++++++ custom_converter/starter.py | 14 ++--- custom_converter/worker.py | 74 +------------------------ custom_converter/workflow.py | 11 ++++ polling/infrequent/activities.py | 10 +--- tests/custom_converter/__init__.py | 0 tests/custom_converter/workflow_test.py | 28 ++++++++++ 7 files changed, 115 insertions(+), 88 deletions(-) create mode 100644 custom_converter/shared.py create mode 100644 custom_converter/workflow.py create mode 100644 tests/custom_converter/__init__.py create mode 100644 tests/custom_converter/workflow_test.py diff --git a/custom_converter/shared.py b/custom_converter/shared.py new file mode 100644 index 00000000..7ac45495 --- /dev/null +++ b/custom_converter/shared.py @@ -0,0 +1,66 @@ +import dataclasses +from typing import Any, Optional, Type + +import temporalio.converter +from temporalio.api.common.v1 import Payload +from temporalio.converter import ( + CompositePayloadConverter, + DefaultPayloadConverter, + EncodingPayloadConverter, +) + + +class GreetingInput: + def __init__(self, name: str) -> None: + self.name = name + + +class GreetingOutput: + def __init__(self, result: str) -> None: + self.result = result + + +class GreetingEncodingPayloadConverter(EncodingPayloadConverter): + @property + def encoding(self) -> str: + return "text/my-greeting-encoding" + + def to_payload(self, value: Any) -> Optional[Payload]: + if isinstance(value, GreetingInput): + return Payload( + metadata={"encoding": self.encoding.encode(), "is_input": b"true"}, + data=value.name.encode(), + ) + elif isinstance(value, GreetingOutput): + return Payload( + metadata={"encoding": self.encoding.encode()}, + data=value.result.encode(), + ) + else: + return None + + def from_payload(self, payload: Payload, type_hint: Optional[Type] = None) -> Any: + if payload.metadata.get("is_input") == b"true": + # Confirm proper type hint if present + assert not type_hint or type_hint is GreetingInput + return GreetingInput(payload.data.decode()) + else: + assert not type_hint or type_hint is GreetingOutput + return GreetingOutput(payload.data.decode()) + + +class GreetingPayloadConverter(CompositePayloadConverter): + def __init__(self) -> None: + # Just add ours as first before the defaults + super().__init__( + GreetingEncodingPayloadConverter(), + # TODO(cretz): Make this list available without instantiation - https://github.com/temporalio/sdk-python/issues/139 + *DefaultPayloadConverter().converters.values(), + ) + + +# Use the default data converter, but change the payload converter. +greeting_data_converter = dataclasses.replace( + temporalio.converter.default(), + payload_converter_class=GreetingPayloadConverter, +) diff --git a/custom_converter/starter.py b/custom_converter/starter.py index ff2d94b1..54fdf162 100644 --- a/custom_converter/starter.py +++ b/custom_converter/starter.py @@ -1,28 +1,22 @@ import asyncio -import dataclasses -import temporalio.converter from temporalio.client import Client -from custom_converter.worker import ( +from custom_converter.shared import ( GreetingInput, GreetingOutput, - GreetingPayloadConverter, - GreetingWorkflow, + greeting_data_converter, ) +from custom_converter.workflow import GreetingWorkflow async def main(): # Connect client client = await Client.connect( "localhost:7233", - # Use the default data converter, but change the payload converter. # Without this we get: # TypeError: Object of type GreetingInput is not JSON serializable - data_converter=dataclasses.replace( - temporalio.converter.default(), - payload_converter_class=GreetingPayloadConverter, - ), + data_converter=greeting_data_converter, ) # Run workflow diff --git a/custom_converter/worker.py b/custom_converter/worker.py index f7a4724a..96214cdd 100644 --- a/custom_converter/worker.py +++ b/custom_converter/worker.py @@ -1,74 +1,10 @@ import asyncio -import dataclasses -from typing import Any, Optional, Type -import temporalio.converter -from temporalio import workflow -from temporalio.api.common.v1 import Payload from temporalio.client import Client -from temporalio.converter import ( - CompositePayloadConverter, - DefaultPayloadConverter, - EncodingPayloadConverter, -) from temporalio.worker import Worker - -class GreetingInput: - def __init__(self, name: str) -> None: - self.name = name - - -class GreetingOutput: - def __init__(self, result: str) -> None: - self.result = result - - -@workflow.defn -class GreetingWorkflow: - @workflow.run - async def run(self, input: GreetingInput) -> GreetingOutput: - return GreetingOutput(f"Hello, {input.name}") - - -class GreetingEncodingPayloadConverter(EncodingPayloadConverter): - @property - def encoding(self) -> str: - return "text/my-greeting-encoding" - - def to_payload(self, value: Any) -> Optional[Payload]: - if isinstance(value, GreetingInput): - return Payload( - metadata={"encoding": self.encoding.encode(), "is_input": b"true"}, - data=value.name.encode(), - ) - elif isinstance(value, GreetingOutput): - return Payload( - metadata={"encoding": self.encoding.encode()}, - data=value.result.encode(), - ) - else: - return None - - def from_payload(self, payload: Payload, type_hint: Optional[Type] = None) -> Any: - if payload.metadata.get("is_input") == b"true": - # Confirm proper type hint if present - assert not type_hint or type_hint is GreetingInput - return GreetingInput(payload.data.decode()) - else: - assert not type_hint or type_hint is GreetingOutput - return GreetingOutput(payload.data.decode()) - - -class GreetingPayloadConverter(CompositePayloadConverter): - def __init__(self) -> None: - # Just add ours as first before the defaults - super().__init__( - GreetingEncodingPayloadConverter(), - # TODO(cretz): Make this list available without instantiation - https://github.com/temporalio/sdk-python/issues/139 - *DefaultPayloadConverter().converters.values(), - ) - +from custom_converter.shared import greeting_data_converter +from custom_converter.workflow import GreetingWorkflow interrupt_event = asyncio.Event() @@ -77,13 +13,9 @@ async def main(): # Connect client client = await Client.connect( "localhost:7233", - # Use the default data converter, but change the payload converter. # Without this, when trying to run a workflow, we get: # KeyError: 'Unknown payload encoding my-greeting-encoding - data_converter=dataclasses.replace( - temporalio.converter.default(), - payload_converter_class=GreetingPayloadConverter, - ), + data_converter=greeting_data_converter, ) # Run a worker for the workflow diff --git a/custom_converter/workflow.py b/custom_converter/workflow.py new file mode 100644 index 00000000..0071d5b3 --- /dev/null +++ b/custom_converter/workflow.py @@ -0,0 +1,11 @@ +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from custom_converter.shared import GreetingInput, GreetingOutput + + +@workflow.defn +class GreetingWorkflow: + @workflow.run + async def run(self, input: GreetingInput) -> GreetingOutput: + return GreetingOutput(f"Hello, {input.name}") diff --git a/polling/infrequent/activities.py b/polling/infrequent/activities.py index bc667b7f..2bd71587 100644 --- a/polling/infrequent/activities.py +++ b/polling/infrequent/activities.py @@ -1,4 +1,3 @@ -import asyncio from dataclasses import dataclass from temporalio import activity @@ -15,9 +14,6 @@ class ComposeGreetingInput: @activity.defn async def compose_greeting(input: ComposeGreetingInput) -> str: test_service = TestService() - while True: - try: - result = test_service.get_service_result(input) - return result - except Exception: - activity.heartbeat("Invoking activity") + # If this raises an exception because it's not done yet, the activity will + # continually be scheduled for retry + return await test_service.get_service_result(input) diff --git a/tests/custom_converter/__init__.py b/tests/custom_converter/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/custom_converter/workflow_test.py b/tests/custom_converter/workflow_test.py new file mode 100644 index 00000000..05c1aa0c --- /dev/null +++ b/tests/custom_converter/workflow_test.py @@ -0,0 +1,28 @@ +import uuid + +from temporalio.client import Client +from temporalio.worker import Worker + +from custom_converter.shared import ( + GreetingInput, + GreetingOutput, + greeting_data_converter, +) +from custom_converter.workflow import GreetingWorkflow + + +async def test_workflow_with_custom_converter(client: Client): + # Replace data converter in client + new_config = client.config() + new_config["data_converter"] = greeting_data_converter + client = Client(**new_config) + task_queue = f"tq-{uuid.uuid4()}" + async with Worker(client, task_queue=task_queue, workflows=[GreetingWorkflow]): + result = await client.execute_workflow( + GreetingWorkflow.run, + GreetingInput("Temporal"), + id=f"wf-{uuid.uuid4()}", + task_queue=task_queue, + ) + assert isinstance(result, GreetingOutput) + assert result.result == "Hello, Temporal" From ecdfcd69b7a7894d5ed847549c0f045d41bdcb67 Mon Sep 17 00:00:00 2001 From: Patrick Rachford <64233065+rachfop@users.noreply.github.com> Date: Mon, 27 Nov 2023 08:41:24 -0800 Subject: [PATCH 41/84] Use temporalio.testing.ActivityEnvironment (#96) --- tests/hello/hello_activity_choice_test.py | 32 +++++++++++++++++++++++ 1 file changed, 32 insertions(+) create mode 100644 tests/hello/hello_activity_choice_test.py diff --git a/tests/hello/hello_activity_choice_test.py b/tests/hello/hello_activity_choice_test.py new file mode 100644 index 00000000..236634de --- /dev/null +++ b/tests/hello/hello_activity_choice_test.py @@ -0,0 +1,32 @@ +import pytest +from temporalio.testing import ActivityEnvironment + +from hello.hello_activity_choice import ( + order_apples, + order_bananas, + order_cherries, + order_oranges, +) + +# A list of tuples where each tuple contains: +# - The activity function +# - The order amount +# - The expected result string +activity_test_data = [ + (order_apples, 5, "Ordered 5 Apples..."), + (order_bananas, 5, "Ordered 5 Bananas..."), + (order_cherries, 5, "Ordered 5 Cherries..."), + (order_oranges, 5, "Ordered 5 Oranges..."), +] + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "activity_func, order_amount, expected_result", activity_test_data +) +async def test_order_fruit(activity_func, order_amount, expected_result): + activity_environment = ActivityEnvironment() + + result = await activity_environment.run(activity_func, order_amount) + + assert result == expected_result From c6cf076dbb65adc3f91c145e908897183a1cf4e9 Mon Sep 17 00:00:00 2001 From: Patrick Rachford <64233065+rachfop@users.noreply.github.com> Date: Thu, 14 Dec 2023 10:29:09 -0800 Subject: [PATCH 42/84] Adds Workflow Update to Samples (#99) * Adds Workflow Update to Samples * Move Workflow Update to single file * Update the name of the file and run format --- README.md | 1 + hello/README.md | 5 ++++ hello/hello_update.py | 53 +++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 59 insertions(+) create mode 100644 hello/hello_update.py diff --git a/README.md b/README.md index 63486fca..bc985ff6 100644 --- a/README.md +++ b/README.md @@ -67,6 +67,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [worker_specific_task_queues](worker_specific_task_queues) - Use unique task queues to ensure activities run on specific workers. * [worker_versioning](worker_versioning) - Use the Worker Versioning feature to more easily version your workflows & other code. + ## Test Running the tests requires `poe` to be installed. diff --git a/hello/README.md b/hello/README.md index 191b4621..9e13f544 100644 --- a/hello/README.md +++ b/hello/README.md @@ -41,3 +41,8 @@ Replace `hello_activity.py` in the command with any other example filename to ru * [hello_search_attributes](hello_search_attributes.py) - Start workflow with search attributes then change while running. * [hello_signal](hello_signal.py) - Send signals to a workflow. +* [hello_update](hello_update.py) - Send a request to and a response from a client to a workflow execution. + +Note: To enable the workflow update, set the `frontend.enableUpdateWorkflowExecution` dynamic config value to true. + + temporal server start-dev --dynamic-config-value frontend.enableUpdateWorkflowExecution=true \ No newline at end of file diff --git a/hello/hello_update.py b/hello/hello_update.py new file mode 100644 index 00000000..1b1236d3 --- /dev/null +++ b/hello/hello_update.py @@ -0,0 +1,53 @@ +import asyncio + +from temporalio import workflow +from temporalio.client import Client +from temporalio.worker import Worker + + +@workflow.defn +class GreetingWorkflow: + is_complete = False + + @workflow.run + async def run(self) -> str: + await workflow.wait_condition(lambda: self.is_complete) + return "Hello, World!" + + @workflow.update + async def update_workflow_status(self) -> str: + self.is_complete = True + return "Workflow status updated" + + +async def main(): + client = await Client.connect("localhost:7233") + + # Run a worker for the workflow + async with Worker( + client, + task_queue="update-workflow-task-queue", + workflows=[GreetingWorkflow], + ): + # While the worker is running, use the client to start the workflow. + # Note, in many production setups, the client would be in a completely + # separate process from the worker. + handle = await client.start_workflow( + GreetingWorkflow.run, + id="hello-update-workflow-id", + task_queue="update-workflow-task-queue", + ) + + # Perform the update for GreetingWorkflow + update_result = await handle.execute_update( + GreetingWorkflow.update_workflow_status + ) + print(f"Update Result: {update_result}") + + # Get the result for GreetingWorkflow + result = await handle.result() + print(f"Workflow Result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) From 6bcab28f85461c13e594ebc15ec3a111533a3ae7 Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Wed, 10 Jan 2024 10:20:15 -0600 Subject: [PATCH 43/84] Update Temporal to 1.5.0 and Python 3.8+ (#101) --- .github/workflows/ci.yml | 6 +-- README.md | 2 +- poetry.lock | 91 ++++++---------------------------------- pyproject.toml | 4 +- 4 files changed, 18 insertions(+), 85 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 1bac467d..ff07e2af 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -12,7 +12,7 @@ jobs: strategy: fail-fast: true matrix: - python: ["3.7", "3.11"] + python: ["3.8", "3.12"] os: [ubuntu-latest, macos-latest, windows-latest] runs-on: ${{ matrix.os }} steps: @@ -32,9 +32,9 @@ jobs: - run: poe test -s -o log_cli_level=DEBUG - run: poe test -s -o log_cli_level=DEBUG --workflow-environment time-skipping - # On non-3.7, run gevent test + # On latest, run gevent test - name: Gevent test - if: ${{ matrix.python != '3.7' }} + if: ${{ matrix.python == '3.12' }} run: | poetry install --with gevent poetry run python gevent_async/test/run_combined.py diff --git a/README.md b/README.md index bc985ff6..df72efc7 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ This is the set of Python samples for the [Python SDK](https://github.com/tempor Prerequisites: -* Python >= 3.7 +* Python >= 3.8 * [Poetry](https://python-poetry.org) * [Local Temporal server running](https://docs.temporal.io/application-development/foundations#run-a-development-cluster) diff --git a/poetry.lock b/poetry.lock index 4def73ef..d0dda4a4 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand. +# This file is automatically @generated by Poetry and should not be changed by hand. 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# TODO(cretz): Make this list available without instantiation - https://github.com/temporalio/sdk-python/issues/139 - *DefaultPayloadConverter().converters.values(), + *DefaultPayloadConverter.default_encoding_payload_converters ) From af9d8e368d8d44d364ece47355e54b2e3850d175 Mon Sep 17 00:00:00 2001 From: Patrick Rachford <64233065+rachfop@users.noreply.github.com> Date: Tue, 20 Feb 2024 09:07:26 -0800 Subject: [PATCH 45/84] Adds LangChain example (#106) * Adds LangChain example * Runs poe format * Fix polling qualified names --- README.md | 1 + langchain/README.md | 28 + langchain/activities.py | 29 + langchain/starter.py | 38 + langchain/worker.py | 37 + langchain/workflow.py | 17 + poetry.lock | 1043 ++++++++++++++++++++- polling/frequent/activities.py | 1 - polling/frequent/run_frequent.py | 3 +- polling/frequent/run_worker.py | 5 +- polling/frequent/workflows.py | 2 +- polling/infrequent/run_infrequent.py | 3 +- polling/infrequent/run_worker.py | 5 +- polling/infrequent/workflows.py | 2 +- polling/periodic_sequence/run_periodic.py | 3 +- polling/periodic_sequence/run_worker.py | 5 +- polling/periodic_sequence/workflows.py | 5 +- pyproject.toml | 10 + 18 files changed, 1214 insertions(+), 23 deletions(-) create mode 100644 langchain/README.md create mode 100644 langchain/activities.py create mode 100644 langchain/starter.py create mode 100644 langchain/worker.py create mode 100644 langchain/workflow.py diff --git a/README.md b/README.md index df72efc7..5201fc7a 100644 --- a/README.md +++ b/README.md @@ -57,6 +57,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [dsl](dsl) - DSL workflow that executes steps defined in a YAML file. * [encryption](encryption) - Apply end-to-end encryption for all input/output. * [gevent_async](gevent_async) - Combine gevent and Temporal. +* [langchain](langchain) - Orchestrate workflows for LangChain. * [open_telemetry](open_telemetry) - Trace workflows with OpenTelemetry. * [patching](patching) - Alter workflows safely with `patch` and `deprecate_patch`. * [polling](polling) - Recommended implementation of an activity that needs to periodically poll an external resource waiting its successful completion. diff --git a/langchain/README.md b/langchain/README.md new file mode 100644 index 00000000..5204bbb3 --- /dev/null +++ b/langchain/README.md @@ -0,0 +1,28 @@ +# LangChain Sample + +This sample shows you how you can use Temporal to orchestrate workflows for [LangChain](https://www.langchain.com). + +For this sample, the optional `langchain` dependency group must be included. To include, run: + + poetry install --with langchain + +Export your [OpenAI API key](https://platform.openai.com/api-keys) as an environment variable. Replace `YOUR_API_KEY` with your actual OpenAI API key. + + export OPENAI_API_KEY='...' + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the +worker: + + poetry run python worker.py + +This will start the worker. Then, in another terminal, run the following to execute a workflow: + + poetry run python starter.py + +Then, in another terminal, run the following command to translate a phrase: + + curl -X POST "http://localhost:8000/translate?phrase=hello%20world&language=Spanish" + +Which should produce some output like: + + {"translation":"Hola mundo"} \ No newline at end of file diff --git a/langchain/activities.py b/langchain/activities.py new file mode 100644 index 00000000..47b528d5 --- /dev/null +++ b/langchain/activities.py @@ -0,0 +1,29 @@ +from dataclasses import dataclass + +from langchain_openai import ChatOpenAI +from temporalio import activity + +from langchain.prompts import ChatPromptTemplate + + +@dataclass +class TranslateParams: + phrase: str + language: str + + +@activity.defn +async def translate_phrase(params: TranslateParams) -> dict: + # LangChain setup + template = """You are a helpful assistant who translates between languages. + Translate the following phrase into the specified language: {phrase} + Language: {language}""" + chat_prompt = ChatPromptTemplate.from_messages( + [ + ("system", template), + ("human", "Translate"), + ] + ) + chain = chat_prompt | ChatOpenAI() + # Use the asynchronous invoke method + return await chain.ainvoke({"phrase": params.phrase, "language": params.language}) diff --git a/langchain/starter.py b/langchain/starter.py new file mode 100644 index 00000000..ce7ff2ce --- /dev/null +++ b/langchain/starter.py @@ -0,0 +1,38 @@ +from contextlib import asynccontextmanager +from uuid import uuid4 + +import uvicorn +from activities import TranslateParams +from fastapi import FastAPI, HTTPException +from temporalio.client import Client +from workflow import LangChainWorkflow + + +@asynccontextmanager +async def lifespan(app: FastAPI): + app.state.temporal_client = await Client.connect("localhost:7233") + yield + + +app = FastAPI(lifespan=lifespan) + + +@app.post("/translate") +async def translate(phrase: str, language: str): + client = app.state.temporal_client + try: + result = await client.execute_workflow( + LangChainWorkflow.run, + TranslateParams(phrase, language), + id=f"langchain-translation-{uuid4()}", + task_queue="langchain-task-queue", + ) + translation_content = result.get("content", "Translation not available") + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + return {"translation": translation_content} + + +if __name__ == "__main__": + uvicorn.run(app, host="localhost", port=8000) diff --git a/langchain/worker.py b/langchain/worker.py new file mode 100644 index 00000000..0fa488b3 --- /dev/null +++ b/langchain/worker.py @@ -0,0 +1,37 @@ +import asyncio + +from activities import translate_phrase +from temporalio.client import Client +from temporalio.worker import Worker +from workflow import LangChainWorkflow + +interrupt_event = asyncio.Event() + + +async def main(): + client = await Client.connect("localhost:7233") + worker = Worker( + client, + task_queue="langchain-task-queue", + workflows=[LangChainWorkflow], + activities=[translate_phrase], + ) + + print("\nWorker started, ctrl+c to exit\n") + await worker.run() + try: + # Wait indefinitely until the interrupt event is set + await interrupt_event.wait() + finally: + # The worker will be shutdown gracefully due to the async context manager + print("\nShutting down the worker\n") + + +if __name__ == "__main__": + loop = asyncio.get_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + print("\nInterrupt received, shutting down...\n") + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/langchain/workflow.py b/langchain/workflow.py new file mode 100644 index 00000000..c005f095 --- /dev/null +++ b/langchain/workflow.py @@ -0,0 +1,17 @@ +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from activities import TranslateParams, translate_phrase + + +@workflow.defn +class LangChainWorkflow: + @workflow.run + async def run(self, params: TranslateParams) -> dict: + return await workflow.execute_activity( + translate_phrase, + params, + schedule_to_close_timeout=timedelta(seconds=30), + ) diff --git a/poetry.lock b/poetry.lock index d0dda4a4..9e154661 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry and should not be changed by hand. +# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand. 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-content-hash = "07feac8cfaea6155fefd4d2b88bf56b929f636081ad34fb72ad23561e3dc1c5a" +content-hash = "e07299ebee23aa4b452aa8c215ef7ad8839f19ef6c1bc903c7c79730c357e0a2" diff --git a/polling/frequent/activities.py b/polling/frequent/activities.py index bc667b7f..064af6cb 100644 --- a/polling/frequent/activities.py +++ b/polling/frequent/activities.py @@ -1,4 +1,3 @@ -import asyncio from dataclasses import dataclass from temporalio import activity diff --git a/polling/frequent/run_frequent.py b/polling/frequent/run_frequent.py index bc43ccfd..664a677c 100644 --- a/polling/frequent/run_frequent.py +++ b/polling/frequent/run_frequent.py @@ -1,7 +1,8 @@ import asyncio from temporalio.client import Client -from workflows import GreetingWorkflow + +from polling.frequent.workflows import GreetingWorkflow async def main(): diff --git a/polling/frequent/run_worker.py b/polling/frequent/run_worker.py index 97b327ff..00fcc27e 100644 --- a/polling/frequent/run_worker.py +++ b/polling/frequent/run_worker.py @@ -1,9 +1,10 @@ import asyncio -from activities import compose_greeting from temporalio.client import Client from temporalio.worker import Worker -from workflows import GreetingWorkflow + +from polling.frequent.activities import compose_greeting +from polling.frequent.workflows import GreetingWorkflow async def main(): diff --git a/polling/frequent/workflows.py b/polling/frequent/workflows.py index c5329ad9..0dac0a49 100644 --- a/polling/frequent/workflows.py +++ b/polling/frequent/workflows.py @@ -3,7 +3,7 @@ from temporalio import workflow with workflow.unsafe.imports_passed_through(): - from activities import ComposeGreetingInput, compose_greeting + from polling.frequent.activities import ComposeGreetingInput, compose_greeting @workflow.defn diff --git a/polling/infrequent/run_infrequent.py b/polling/infrequent/run_infrequent.py index 0056a36c..7cf206f2 100644 --- a/polling/infrequent/run_infrequent.py +++ b/polling/infrequent/run_infrequent.py @@ -1,7 +1,8 @@ import asyncio from temporalio.client import Client -from workflows import GreetingWorkflow + +from polling.infrequent.workflows import GreetingWorkflow async def main(): diff --git a/polling/infrequent/run_worker.py b/polling/infrequent/run_worker.py index 27db61de..f600b949 100644 --- a/polling/infrequent/run_worker.py +++ b/polling/infrequent/run_worker.py @@ -1,9 +1,10 @@ import asyncio -from activities import compose_greeting from temporalio.client import Client from temporalio.worker import Worker -from workflows import GreetingWorkflow + +from polling.infrequent.activities import compose_greeting +from polling.infrequent.workflows import GreetingWorkflow async def main(): diff --git a/polling/infrequent/workflows.py b/polling/infrequent/workflows.py index 013a3b91..35769573 100644 --- a/polling/infrequent/workflows.py +++ b/polling/infrequent/workflows.py @@ -4,7 +4,7 @@ from temporalio.common import RetryPolicy with workflow.unsafe.imports_passed_through(): - from activities import ComposeGreetingInput, compose_greeting + from polling.infrequent.activities import ComposeGreetingInput, compose_greeting @workflow.defn diff --git a/polling/periodic_sequence/run_periodic.py b/polling/periodic_sequence/run_periodic.py index 5853d467..f2ddcf7a 100644 --- a/polling/periodic_sequence/run_periodic.py +++ b/polling/periodic_sequence/run_periodic.py @@ -1,7 +1,8 @@ import asyncio from temporalio.client import Client -from workflows import GreetingWorkflow + +from polling.periodic_sequence.workflows import GreetingWorkflow async def main(): diff --git a/polling/periodic_sequence/run_worker.py b/polling/periodic_sequence/run_worker.py index 8c0591f9..e04ac4dc 100644 --- a/polling/periodic_sequence/run_worker.py +++ b/polling/periodic_sequence/run_worker.py @@ -1,9 +1,10 @@ import asyncio -from activities import compose_greeting from temporalio.client import Client from temporalio.worker import Worker -from workflows import ChildWorkflow, GreetingWorkflow + +from polling.periodic_sequence.activities import compose_greeting +from polling.periodic_sequence.workflows import ChildWorkflow, GreetingWorkflow async def main(): diff --git a/polling/periodic_sequence/workflows.py b/polling/periodic_sequence/workflows.py index 12045bc8..d38d41ce 100644 --- a/polling/periodic_sequence/workflows.py +++ b/polling/periodic_sequence/workflows.py @@ -6,7 +6,10 @@ from temporalio.exceptions import ActivityError with workflow.unsafe.imports_passed_through(): - from activities import ComposeGreetingInput, compose_greeting + from polling.periodic_sequence.activities import ( + ComposeGreetingInput, + compose_greeting, + ) @workflow.defn diff --git a/pyproject.toml b/pyproject.toml index 7a42f775..02d72b0b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -41,6 +41,16 @@ dependencies = { cryptography = "^38.0.1", aiohttp = "^3.8.1" } optional = true dependencies = { gevent = { version = "^23.9.1", python = ">=3.8" } } +[tool.poetry.group.langchain] +optional = true +[tool.poetry.group.langchain.dependencies] +langchain = {version = "^0.1.7", python = ">=3.8.1,<4.0"} +langchain-openai = {version = "^0.0.6", python = ">=3.8.1,<4.0"} +openai = "^1.4.0" +fastapi = "^0.105.0" +tqdm = "^4.62.0" +uvicorn = { version = "^0.24.0.post1", extras = ["standard"]} + [tool.poetry.group.open_telemetry] optional = true [tool.poetry.group.open_telemetry.dependencies] From 4303a9b15f4ddc4cd770bc0ba33afef90a25d3ae Mon Sep 17 00:00:00 2001 From: Alex Garnett Date: Tue, 27 Feb 2024 10:30:15 -0800 Subject: [PATCH 46/84] require frozenlist to update version (#107) * require frozenlist to update version * add --with encryption to ci.yml --- .github/workflows/ci.yml | 2 +- poetry.lock | 1890 +++++++++++++++++++------------------- pyproject.toml | 1 + 3 files changed, 944 insertions(+), 949 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index ff07e2af..6e1646d9 100644 --- a/.github/workflows/ci.yml +++ 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sample-specific dependencies are in optional groups below, named after the # sample they apply to From f625172145f910527d3dd3136bd17653c7472ef9 Mon Sep 17 00:00:00 2001 From: alice-yin <124640969+alice-yin@users.noreply.github.com> Date: Tue, 23 Apr 2024 10:20:32 -0700 Subject: [PATCH 47/84] add export proto to parquet example (#110) * add export proto to parquet example * address comments * lower python to 3.8 * set up own poetry * address comments * modify dependencies * update mypy to 0.981 * remove redundant comma --- README.md | 2 +- cloud_export_to_parquet/README.md | 23 + cloud_export_to_parquet/__init__.py | 0 cloud_export_to_parquet/create_schedule.py | 64 + .../data_trans_activities.py | 123 ++ cloud_export_to_parquet/run_worker.py | 38 + cloud_export_to_parquet/workflows.py | 74 + poetry.lock | 1361 ++++++++++------- pyproject.toml | 11 +- schedules/backfill_schedule.py | 2 +- 10 files changed, 1143 insertions(+), 555 deletions(-) create mode 100644 cloud_export_to_parquet/README.md create mode 100644 cloud_export_to_parquet/__init__.py create mode 100644 cloud_export_to_parquet/create_schedule.py create mode 100644 cloud_export_to_parquet/data_trans_activities.py create mode 100644 cloud_export_to_parquet/run_worker.py create mode 100644 cloud_export_to_parquet/workflows.py diff --git a/README.md b/README.md index 5201fc7a..821d9740 100644 --- a/README.md +++ b/README.md @@ -52,6 +52,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [hello_signal](hello/hello_signal.py) - Send signals to a workflow. * [activity_worker](activity_worker) - Use Python activities from a workflow in another language. +* [cloud_export_to_parquet](cloud_export_to_parquet) - Set up schedule workflow to process exported files on an hourly basis * [custom_converter](custom_converter) - Use a custom payload converter to handle custom types. * [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. * [dsl](dsl) - DSL workflow that executes steps defined in a YAML file. @@ -68,7 +69,6 @@ Some examples require extra dependencies. See each sample's directory for specif * [worker_specific_task_queues](worker_specific_task_queues) - Use unique task queues to ensure activities run on specific workers. * [worker_versioning](worker_versioning) - Use the Worker Versioning feature to more easily version your workflows & other code. - ## Test Running the tests requires `poe` to be installed. diff --git a/cloud_export_to_parquet/README.md b/cloud_export_to_parquet/README.md new file mode 100644 index 00000000..873e69b9 --- /dev/null +++ b/cloud_export_to_parquet/README.md @@ -0,0 +1,23 @@ +# Cloud Export to parquet sample + +This is an example workflow to convert exported file from proto to parquet file. The workflow is an hourly schedule. + +Please make sure your python is 3.9 above. For this sample, run: + + poetry install --with cloud_export_to_parquet + +Before you start, please modify workflow input in `create_schedule.py` with your s3 bucket and namespace. Also make sure you've the right AWS permission set up in your environment to allow this workflow read and write to your s3 bucket. + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: + +```bash +poetry run python run_worker.py +``` + +This will start the worker. Then, in another terminal, run the following to execute the schedule: + +```bash +poetry run python create_schedule.py +``` + +The workflow should convert exported file in your input s3 bucket to parquet in your specified location. diff --git a/cloud_export_to_parquet/__init__.py b/cloud_export_to_parquet/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/cloud_export_to_parquet/create_schedule.py b/cloud_export_to_parquet/create_schedule.py new file mode 100644 index 00000000..f425d4c6 --- /dev/null +++ b/cloud_export_to_parquet/create_schedule.py @@ -0,0 +1,64 @@ +import asyncio +import traceback +from datetime import datetime, timedelta + +from temporalio.client import ( + Client, + Schedule, + ScheduleActionStartWorkflow, + ScheduleIntervalSpec, + ScheduleSpec, + WorkflowFailureError, +) + +from cloud_export_to_parquet.workflows import ( + ProtoToParquet, + ProtoToParquetWorkflowInput, +) + + +async def main() -> None: + """Main function to run temporal workflow.""" + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + # TODO: update s3_bucket and namespace to the actual usecase + wf_input = ProtoToParquetWorkflowInput( + num_delay_hour=2, + export_s3_bucket="test-input-bucket", + namespace="test.namespace", + output_s3_bucket="test-output-bucket", + ) + + # Run the workflow + # try: + # await client.start_workflow( + # ProtoToParquet.run, + # wf_input, + # id = f"proto-to-parquet-{datetime.now()}", + # task_queue="DATA_TRANSFORMATION_TASK_QUEUE", + # ) + # except WorkflowFailureError: + # print("Got exception: ", traceback.format_exc()) + + # Create the schedule + try: + await client.create_schedule( + "hourly-proto-to-parquet-wf-schedule", + Schedule( + action=ScheduleActionStartWorkflow( + ProtoToParquet.run, + wf_input, + id=f"proto-to-parquet-{datetime.now()}", + task_queue="DATA_TRANSFORMATION_TASK_QUEUE", + ), + spec=ScheduleSpec( + intervals=[ScheduleIntervalSpec(every=timedelta(hours=1))] + ), + ), + ) + except WorkflowFailureError: + print("Got exception: ", traceback.format_exc()) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/cloud_export_to_parquet/data_trans_activities.py b/cloud_export_to_parquet/data_trans_activities.py new file mode 100644 index 00000000..b91f6b1a --- /dev/null +++ b/cloud_export_to_parquet/data_trans_activities.py @@ -0,0 +1,123 @@ +import json +import uuid +from dataclasses import dataclass +from typing import List + +import boto3 +import pandas as pd +import temporalio.api.export.v1 as export +from google.protobuf.json_format import MessageToJson +from temporalio import activity + + +@dataclass +class GetObjectKeysActivityInput: + bucket: str + path: str + + +@dataclass +class DataTransAndLandActivityInput: + export_s3_bucket: str + object_key: str + output_s3_bucket: str + write_path: str + + +@activity.defn +def get_object_keys(activity_input: GetObjectKeysActivityInput) -> List[str]: + """Function that list objects by key.""" + object_keys = [] + s3 = boto3.client("s3") + response = s3.list_objects_v2( + Bucket=activity_input.bucket, Prefix=activity_input.path + ) + for obj in response.get("Contents", []): + object_keys.append(obj["Key"]) + if len(object_keys) == 0: + raise FileNotFoundError( + f"No files found in {activity_input.bucket}/{activity_input.path}" + ) + + return object_keys + + +@activity.defn +def data_trans_and_land(activity_input: DataTransAndLandActivityInput) -> str: + """Function that convert proto to parquet and save to S3.""" + key = activity_input.object_key + data = get_data_from_object_key(activity_input.export_s3_bucket, key) + activity.logger.info("Convert proto to parquet for file: %s", key) + parquet_data = convert_proto_to_parquet_flatten(data) + activity.logger.info("Finish transformation for file: %s", key) + return save_to_sink( + parquet_data, activity_input.output_s3_bucket, activity_input.write_path + ) + + +def get_data_from_object_key( + bucket_name: str, object_key: str +) -> export.WorkflowExecutions: + """Function that get object by key.""" + v = export.WorkflowExecutions() + + s3 = boto3.client("s3") + try: + data = s3.get_object(Bucket=bucket_name, Key=object_key)["Body"].read() + except Exception as e: + activity.logger.error(f"Error reading object: {e}") + raise e + v.ParseFromString(data) + return v + + +def convert_proto_to_parquet_flatten(wfs: export.WorkflowExecutions) -> pd.DataFrame: + """Function that convert flatten proto data to parquet.""" + dfs = [] + for wf in wfs.items: + start_attributes = wf.history.events[ + 0 + ].workflow_execution_started_event_attributes + histories = wf.history + json_str = MessageToJson(histories) + row = { + "WorkflowID": start_attributes.workflow_id, + "RunID": start_attributes.original_execution_run_id, + "Histories": json.loads(json_str), + } + dfs.append(pd.DataFrame([row])) + df = pd.concat(dfs, ignore_index=True) + rows_flatten = [] + for _, row in df.iterrows(): + wf_histories_raw = row["Histories"]["events"] + worfkow_id = row["WorkflowID"] + run_id = row["RunID"] + for history_event in wf_histories_raw: + row_flatten = pd.json_normalize(history_event, sep="_") + skip_name = ["payloads", "."] + columns_to_drop = [ + col for col in row_flatten.columns for skip in skip_name if skip in col + ] + row_flatten.drop(columns_to_drop, axis=1, inplace=True) + row_flatten.insert(0, "WorkflowId", worfkow_id) + row_flatten.insert(1, "RunId", run_id) + rows_flatten.append(row_flatten) + df_flatten = pd.concat(rows_flatten, ignore_index=True) + return df_flatten + + +def save_to_sink(data: pd.DataFrame, s3_bucket: str, write_path: str) -> str: + """Function that save object to s3 bucket.""" + write_bytes = data.to_parquet(None, compression="snappy", index=False) + uuid_name = uuid.uuid1() + file_name = f"{uuid_name}.parquet" + activity.logger.info("Writing to S3 bucket: %s", file_name) + + s3 = boto3.client("s3") + try: + key = f"{write_path}/{file_name}" + s3.put_object(Bucket=s3_bucket, Key=key, Body=write_bytes) + return key + except Exception as e: + activity.logger.error(f"Error saving to sink: {e}") + raise e diff --git a/cloud_export_to_parquet/run_worker.py b/cloud_export_to_parquet/run_worker.py new file mode 100644 index 00000000..df02de11 --- /dev/null +++ b/cloud_export_to_parquet/run_worker.py @@ -0,0 +1,38 @@ +import asyncio +from concurrent.futures import ThreadPoolExecutor + +from temporalio.client import Client +from temporalio.worker import Worker +from temporalio.worker.workflow_sandbox import ( + SandboxedWorkflowRunner, + SandboxRestrictions, +) + +from cloud_export_to_parquet.data_trans_activities import ( + data_trans_and_land, + get_object_keys, +) +from cloud_export_to_parquet.workflows import ProtoToParquet + + +async def main() -> None: + """Main worker function.""" + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + + # Run the worker + worker: Worker = Worker( + client, + task_queue="DATA_TRANSFORMATION_TASK_QUEUE", + workflows=[ProtoToParquet], + activities=[get_object_keys, data_trans_and_land], + workflow_runner=SandboxedWorkflowRunner( + restrictions=SandboxRestrictions.default.with_passthrough_modules("boto3") + ), + activity_executor=ThreadPoolExecutor(100), + ) + await worker.run() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/cloud_export_to_parquet/workflows.py b/cloud_export_to_parquet/workflows.py new file mode 100644 index 00000000..2d3edd88 --- /dev/null +++ b/cloud_export_to_parquet/workflows.py @@ -0,0 +1,74 @@ +from datetime import timedelta + +from temporalio import workflow +from temporalio.common import RetryPolicy +from temporalio.exceptions import ActivityError + +with workflow.unsafe.imports_passed_through(): + from cloud_export_to_parquet.data_trans_activities import ( + DataTransAndLandActivityInput, + data_trans_and_land, + get_object_keys, + GetObjectKeysActivityInput, + ) +from dataclasses import dataclass + + +@dataclass +class ProtoToParquetWorkflowInput: + num_delay_hour: int + export_s3_bucket: str + namespace: str + output_s3_bucket: str + + +@workflow.defn +class ProtoToParquet: + """Proto to parquet workflow.""" + + @workflow.run + async def run(self, workflow_input: ProtoToParquetWorkflowInput) -> str: + """Run proto to parquet workflow.""" + retry_policy = RetryPolicy( + maximum_attempts=10, maximum_interval=timedelta(seconds=5) + ) + + # Read from export S3 bucket and given at least 2 hour delay to ensure the file has been uploaded + read_time = workflow.now() - timedelta(hours=workflow_input.num_delay_hour) + common_path = f"{workflow_input.namespace}/{read_time.year}/{read_time.month:02}/{read_time.day:02}/{read_time.hour:02}/00" + path = f"temporal-workflow-history/export/{common_path}" + get_object_keys_input = GetObjectKeysActivityInput( + workflow_input.export_s3_bucket, path + ) + + # Read Input File + object_keys_output = await workflow.execute_activity( + get_object_keys, + get_object_keys_input, + start_to_close_timeout=timedelta(minutes=5), + retry_policy=retry_policy, + ) + + write_path = f"temporal-workflow-history/parquet/{common_path}" + + try: + # Could create a list of corountine objects to process files in parallel + for key in object_keys_output: + data_trans_and_land_input = DataTransAndLandActivityInput( + workflow_input.export_s3_bucket, + key, + workflow_input.output_s3_bucket, + write_path, + ) + # Convert proto to parquet and save to S3 + await workflow.execute_activity( + data_trans_and_land, + data_trans_and_land_input, + start_to_close_timeout=timedelta(minutes=15), + retry_policy=retry_policy, + ) + except ActivityError as output_err: + workflow.logger.error(f"Data transformation failed: {output_err}") + raise output_err + + return write_path diff --git a/poetry.lock b/poetry.lock index 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"^22.3.0" isort = "^5.10.1" -mypy = "^0.961" +mypy = "^0.981" pytest = "^7.1.2" pytest-asyncio = "^0.18.3" frozenlist = "^1.4.0" @@ -97,3 +97,12 @@ ignore_errors = true [[tool.mypy.overrides]] module = "opentelemetry.*" ignore_errors = true + +[tool.poetry.group.cloud_export_to_parquet] +optional = true +[tool.poetry.group.cloud_export_to_parquet.dependencies] +pandas = {version = "^2.2.2",python = ">=3.9,<4.0"} +numpy = {version = "^1.26.0",python = ">=3.9,<3.13"} +pyarrow = "^16.0.0" +boto3 = "^1.34.89" + diff --git a/schedules/backfill_schedule.py b/schedules/backfill_schedule.py index 65658409..769b6a78 100644 --- a/schedules/backfill_schedule.py +++ b/schedules/backfill_schedule.py @@ -16,7 +16,7 @@ async def main(): end_at=now - timedelta(minutes=9), overlap=ScheduleOverlapPolicy.ALLOW_ALL, ), - ), + ) if __name__ == "__main__": From bcb983607b3e2f3dd5d2a3d3b947eebfea788e42 Mon Sep 17 00:00:00 2001 From: Dan Davison Date: Thu, 23 May 2024 10:00:29 -0400 Subject: [PATCH 48/84] Don't mutate class attribute (#115) - Comment out unused imports --- encryption/codec.py | 1 - hello/hello_activity.py | 4 ++-- hello/hello_mtls.py | 3 ++- hello/hello_patch.py | 4 ++-- hello/hello_search_attributes.py | 5 +---- hello/hello_update.py | 3 ++- 6 files changed, 9 insertions(+), 11 deletions(-) diff --git a/encryption/codec.py b/encryption/codec.py index 6aaa58be..9f79526f 100644 --- a/encryption/codec.py +++ b/encryption/codec.py @@ -1,4 +1,3 @@ -import base64 import os from typing import Iterable, List diff --git a/hello/hello_activity.py b/hello/hello_activity.py index 6615b55d..9801ee1b 100644 --- a/hello/hello_activity.py +++ b/hello/hello_activity.py @@ -1,5 +1,4 @@ import asyncio -import logging from dataclasses import dataclass from datetime import timedelta @@ -38,7 +37,8 @@ async def run(self, name: str) -> str: async def main(): - # Uncomment the line below to see logging + # Uncomment the lines below to see logging output + # import logging # logging.basicConfig(level=logging.INFO) # Start client diff --git a/hello/hello_mtls.py b/hello/hello_mtls.py index f613fba4..1ac6f9d8 100644 --- a/hello/hello_mtls.py +++ b/hello/hello_mtls.py @@ -5,7 +5,8 @@ from typing import Optional from temporalio import activity, workflow -from temporalio.client import Client, TLSConfig +from temporalio.client import Client +from temporalio.service import TLSConfig from temporalio.worker import Worker diff --git a/hello/hello_patch.py b/hello/hello_patch.py index 43371d4f..0ed19b2f 100644 --- a/hello/hello_patch.py +++ b/hello/hello_patch.py @@ -1,5 +1,4 @@ import asyncio -import logging import sys from dataclasses import dataclass from datetime import timedelta @@ -96,7 +95,8 @@ async def main(): version = sys.argv[1] - # Uncomment the line below to see logging + # Uncomment the lines below to see logging output + # import logging # logging.basicConfig(level=logging.INFO) # Start client diff --git a/hello/hello_search_attributes.py b/hello/hello_search_attributes.py index 6892fb71..8b504ea6 100644 --- a/hello/hello_search_attributes.py +++ b/hello/hello_search_attributes.py @@ -1,10 +1,7 @@ import asyncio -from typing import List from temporalio import workflow -from temporalio.client import Client, WorkflowExecutionDescription -from temporalio.common import SearchAttributeValues -from temporalio.converter import default as default_converter +from temporalio.client import Client from temporalio.worker import Worker diff --git a/hello/hello_update.py b/hello/hello_update.py index 1b1236d3..111d95b1 100644 --- a/hello/hello_update.py +++ b/hello/hello_update.py @@ -7,7 +7,8 @@ @workflow.defn class GreetingWorkflow: - is_complete = False + def __init__(self): + self.is_complete = False @workflow.run async def run(self) -> str: From e29904726a821ceef2c756bea05116f930a9c80f Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Tue, 28 May 2024 10:16:21 -0500 Subject: [PATCH 49/84] Support macOS ARM in CI (#119) Fixes #117 --- .github/workflows/ci.yml | 18 +++++++++++++++--- 1 file changed, 15 insertions(+), 3 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 6e1646d9..06acdd9c 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -13,15 +13,27 @@ jobs: fail-fast: true matrix: python: ["3.8", "3.12"] - os: [ubuntu-latest, macos-latest, windows-latest] - runs-on: ${{ matrix.os }} + os: [ubuntu-latest, macos-intel, macos-arm, windows-latest] + include: + - os: macos-intel + runsOn: macos-12 + - os: macos-arm + runsOn: macos-14 + # macOS ARM 3.8 does not have an available Python build at + # https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json. + # See https://github.com/actions/setup-python/issues/808 and + # https://github.com/actions/python-versions/pull/259. + exclude: + - os: macos-arm + python: "3.8" + runs-on: ${{ matrix.runsOn || matrix.os }} steps: - name: Print build information run: "echo head_ref: ${{ github.head_ref }}, ref: ${{ github.ref }}, os: ${{ matrix.os }}, python: ${{ matrix.python }}" - uses: actions/checkout@v2 with: submodules: recursive - - uses: actions/setup-python@v1 + - uses: actions/setup-python@v4 with: python-version: ${{ matrix.python }} # Using fixed Poetry version until From a7c04d44feab597474a50dd84078aa55d3a51865 Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Tue, 4 Jun 2024 15:57:55 -0500 Subject: [PATCH 50/84] Context propagation sample (#120) --- README.md | 1 + context_propagation/README.md | 16 ++ context_propagation/__init__.py | 0 context_propagation/activities.py | 9 + context_propagation/interceptor.py | 184 +++++++++++++++++++++ context_propagation/shared.py | 6 + context_propagation/starter.py | 35 ++++ context_propagation/worker.py | 41 +++++ context_propagation/workflows.py | 28 ++++ tests/context_propagation/__init__.py | 0 tests/context_propagation/workflow_test.py | 46 ++++++ 11 files changed, 366 insertions(+) create mode 100644 context_propagation/README.md create mode 100644 context_propagation/__init__.py create mode 100644 context_propagation/activities.py create mode 100644 context_propagation/interceptor.py create mode 100644 context_propagation/shared.py create mode 100644 context_propagation/starter.py create mode 100644 context_propagation/worker.py create mode 100644 context_propagation/workflows.py create mode 100644 tests/context_propagation/__init__.py create mode 100644 tests/context_propagation/workflow_test.py diff --git a/README.md b/README.md index 821d9740..aef520bc 100644 --- a/README.md +++ b/README.md @@ -53,6 +53,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [activity_worker](activity_worker) - Use Python activities from a workflow in another language. * [cloud_export_to_parquet](cloud_export_to_parquet) - Set up schedule workflow to process exported files on an hourly basis +* [context_propagation](context_propagation) - Context propagation through workflows/activities via interceptor. * [custom_converter](custom_converter) - Use a custom payload converter to handle custom types. * [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. * [dsl](dsl) - DSL workflow that executes steps defined in a YAML file. diff --git a/context_propagation/README.md b/context_propagation/README.md new file mode 100644 index 00000000..bbf47ac0 --- /dev/null +++ b/context_propagation/README.md @@ -0,0 +1,16 @@ +# Context Propagation Interceptor Sample + +This sample shows how to use an interceptor to propagate contextual information through workflows and activities. For +this example, [contextvars](https://docs.python.org/3/library/contextvars.html) holds the contextual information. + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the +worker: + + poetry run python worker.py + +This will start the worker. Then, in another terminal, run the following to execute the workflow: + + poetry run python starter.py + +The starter terminal should complete with the hello result and the worker terminal should show the logs with the +propagated user ID contextual information flowing through the workflows/activities. \ No newline at end of file diff --git a/context_propagation/__init__.py b/context_propagation/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/context_propagation/activities.py b/context_propagation/activities.py new file mode 100644 index 00000000..77cde015 --- /dev/null +++ b/context_propagation/activities.py @@ -0,0 +1,9 @@ +from temporalio import activity + +from context_propagation import shared + + +@activity.defn +async def say_hello_activity(name: str) -> str: + activity.logger.info(f"Activity called by user {shared.user_id.get()}") + return f"Hello, {name}" diff --git a/context_propagation/interceptor.py b/context_propagation/interceptor.py new file mode 100644 index 00000000..f8dca8e5 --- /dev/null +++ b/context_propagation/interceptor.py @@ -0,0 +1,184 @@ +from __future__ import annotations + +from contextlib import contextmanager +from typing import Any, Mapping, Protocol, Type + +import temporalio.activity +import temporalio.api.common.v1 +import temporalio.client +import temporalio.converter +import temporalio.worker +import temporalio.workflow + +with temporalio.workflow.unsafe.imports_passed_through(): + from context_propagation.shared import HEADER_KEY, user_id + + +class _InputWithHeaders(Protocol): + headers: Mapping[str, temporalio.api.common.v1.Payload] + + +def set_header_from_context( + input: _InputWithHeaders, payload_converter: temporalio.converter.PayloadConverter +) -> None: + user_id_val = user_id.get() + if user_id_val: + input.headers = { + **input.headers, + HEADER_KEY: payload_converter.to_payload(user_id_val), + } + + +@contextmanager +def context_from_header( + input: _InputWithHeaders, payload_converter: temporalio.converter.PayloadConverter +): + payload = input.headers.get(HEADER_KEY) + token = ( + user_id.set(payload_converter.from_payload(payload, str)) if payload else None + ) + try: + yield + finally: + if token: + user_id.reset(token) + + +class ContextPropagationInterceptor( + temporalio.client.Interceptor, temporalio.worker.Interceptor +): + """Interceptor that can serialize/deserialize contexts.""" + + def __init__( + self, + payload_converter: temporalio.converter.PayloadConverter = temporalio.converter.default().payload_converter, + ) -> None: + self._payload_converter = payload_converter + + def intercept_client( + self, next: temporalio.client.OutboundInterceptor + ) -> temporalio.client.OutboundInterceptor: + return _ContextPropagationClientOutboundInterceptor( + next, self._payload_converter + ) + + def intercept_activity( + self, next: temporalio.worker.ActivityInboundInterceptor + ) -> temporalio.worker.ActivityInboundInterceptor: + return _ContextPropagationActivityInboundInterceptor(next) + + def workflow_interceptor_class( + self, input: temporalio.worker.WorkflowInterceptorClassInput + ) -> Type[_ContextPropagationWorkflowInboundInterceptor]: + return _ContextPropagationWorkflowInboundInterceptor + + +class _ContextPropagationClientOutboundInterceptor( + temporalio.client.OutboundInterceptor +): + def __init__( + self, + next: temporalio.client.OutboundInterceptor, + payload_converter: temporalio.converter.PayloadConverter, + ) -> None: + super().__init__(next) + self._payload_converter = payload_converter + + async def start_workflow( + self, input: temporalio.client.StartWorkflowInput + ) -> temporalio.client.WorkflowHandle[Any, Any]: + set_header_from_context(input, self._payload_converter) + return await super().start_workflow(input) + + async def query_workflow(self, input: temporalio.client.QueryWorkflowInput) -> Any: + set_header_from_context(input, self._payload_converter) + return await super().query_workflow(input) + + async def signal_workflow( + self, input: temporalio.client.SignalWorkflowInput + ) -> None: + set_header_from_context(input, self._payload_converter) + await super().signal_workflow(input) + + async def start_workflow_update( + self, input: temporalio.client.StartWorkflowUpdateInput + ) -> temporalio.client.WorkflowUpdateHandle[Any]: + set_header_from_context(input, self._payload_converter) + return await self.next.start_workflow_update(input) + + +class _ContextPropagationActivityInboundInterceptor( + temporalio.worker.ActivityInboundInterceptor +): + async def execute_activity( + self, input: temporalio.worker.ExecuteActivityInput + ) -> Any: + with context_from_header(input, temporalio.activity.payload_converter()): + return await self.next.execute_activity(input) + + +class _ContextPropagationWorkflowInboundInterceptor( + temporalio.worker.WorkflowInboundInterceptor +): + def init(self, outbound: temporalio.worker.WorkflowOutboundInterceptor) -> None: + self.next.init(_ContextPropagationWorkflowOutboundInterceptor(outbound)) + + async def execute_workflow( + self, input: temporalio.worker.ExecuteWorkflowInput + ) -> Any: + with context_from_header(input, temporalio.workflow.payload_converter()): + return await self.next.execute_workflow(input) + + async def handle_signal(self, input: temporalio.worker.HandleSignalInput) -> None: + with context_from_header(input, temporalio.workflow.payload_converter()): + return await self.next.handle_signal(input) + + async def handle_query(self, input: temporalio.worker.HandleQueryInput) -> Any: + with context_from_header(input, temporalio.workflow.payload_converter()): + return await self.next.handle_query(input) + + def handle_update_validator( + self, input: temporalio.worker.HandleUpdateInput + ) -> None: + with context_from_header(input, temporalio.workflow.payload_converter()): + self.next.handle_update_validator(input) + + async def handle_update_handler( + self, input: temporalio.worker.HandleUpdateInput + ) -> Any: + with context_from_header(input, temporalio.workflow.payload_converter()): + return await self.next.handle_update_handler(input) + + +class _ContextPropagationWorkflowOutboundInterceptor( + temporalio.worker.WorkflowOutboundInterceptor +): + async def signal_child_workflow( + self, input: temporalio.worker.SignalChildWorkflowInput + ) -> None: + set_header_from_context(input, temporalio.workflow.payload_converter()) + return await self.next.signal_child_workflow(input) + + async def signal_external_workflow( + self, input: temporalio.worker.SignalExternalWorkflowInput + ) -> None: + set_header_from_context(input, temporalio.workflow.payload_converter()) + return await self.next.signal_external_workflow(input) + + def start_activity( + self, input: temporalio.worker.StartActivityInput + ) -> temporalio.workflow.ActivityHandle: + set_header_from_context(input, temporalio.workflow.payload_converter()) + return self.next.start_activity(input) + + async def start_child_workflow( + self, input: temporalio.worker.StartChildWorkflowInput + ) -> temporalio.workflow.ChildWorkflowHandle: + set_header_from_context(input, temporalio.workflow.payload_converter()) + return await self.next.start_child_workflow(input) + + def start_local_activity( + self, input: temporalio.worker.StartLocalActivityInput + ) -> temporalio.workflow.ActivityHandle: + set_header_from_context(input, temporalio.workflow.payload_converter()) + return self.next.start_local_activity(input) diff --git a/context_propagation/shared.py b/context_propagation/shared.py new file mode 100644 index 00000000..faae59d8 --- /dev/null +++ b/context_propagation/shared.py @@ -0,0 +1,6 @@ +from contextvars import ContextVar +from typing import Optional + +HEADER_KEY = "__my_user_id" + +user_id: ContextVar[Optional[str]] = ContextVar("user_id", default=None) diff --git a/context_propagation/starter.py b/context_propagation/starter.py new file mode 100644 index 00000000..2865eee2 --- /dev/null +++ b/context_propagation/starter.py @@ -0,0 +1,35 @@ +import asyncio +import logging + +from temporalio.client import Client + +from context_propagation import interceptor, shared, workflows + + +async def main(): + logging.basicConfig(level=logging.INFO) + + # Set the user ID + shared.user_id.set("some-user") + + # Connect client + client = await Client.connect( + "localhost:7233", + # Use our interceptor + interceptors=[interceptor.ContextPropagationInterceptor()], + ) + + # Start workflow, send signal, wait for completion, issue query + handle = await client.start_workflow( + workflows.SayHelloWorkflow.run, + "Temporal", + id=f"context-propagation-workflow-id", + task_queue="context-propagation-task-queue", + ) + await handle.signal(workflows.SayHelloWorkflow.signal_complete) + result = await handle.result() + logging.info(f"Workflow result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/context_propagation/worker.py b/context_propagation/worker.py new file mode 100644 index 00000000..14d954da --- /dev/null +++ b/context_propagation/worker.py @@ -0,0 +1,41 @@ +import asyncio +import logging + +from temporalio.client import Client +from temporalio.worker import Worker + +from context_propagation import activities, interceptor, workflows + +interrupt_event = asyncio.Event() + + +async def main(): + logging.basicConfig(level=logging.INFO) + + # Connect client + client = await Client.connect( + "localhost:7233", + # Use our interceptor + interceptors=[interceptor.ContextPropagationInterceptor()], + ) + + # Run a worker for the workflow + async with Worker( + client, + task_queue="context-propagation-task-queue", + activities=[activities.say_hello_activity], + workflows=[workflows.SayHelloWorkflow], + ): + # Wait until interrupted + logging.info("Worker started, ctrl+c to exit") + await interrupt_event.wait() + logging.info("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/context_propagation/workflows.py b/context_propagation/workflows.py new file mode 100644 index 00000000..e9c120b3 --- /dev/null +++ b/context_propagation/workflows.py @@ -0,0 +1,28 @@ +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from context_propagation.activities import say_hello_activity + from context_propagation.shared import user_id + + +@workflow.defn +class SayHelloWorkflow: + def __init__(self) -> None: + self._complete = False + + @workflow.run + async def run(self, name: str) -> str: + workflow.logger.info(f"Workflow called by user {user_id.get()}") + + # Wait for signal then run activity + await workflow.wait_condition(lambda: self._complete) + return await workflow.execute_activity( + say_hello_activity, name, start_to_close_timeout=timedelta(minutes=5) + ) + + @workflow.signal + async def signal_complete(self) -> None: + workflow.logger.info(f"Signal called by user {user_id.get()}") + self._complete = True diff --git a/tests/context_propagation/__init__.py b/tests/context_propagation/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/context_propagation/workflow_test.py b/tests/context_propagation/workflow_test.py new file mode 100644 index 00000000..8de2120d --- /dev/null +++ b/tests/context_propagation/workflow_test.py @@ -0,0 +1,46 @@ +import uuid + +from temporalio import activity +from temporalio.client import Client +from temporalio.exceptions import ApplicationError +from temporalio.worker import Worker + +from context_propagation.interceptor import ContextPropagationInterceptor +from context_propagation.shared import user_id +from context_propagation.workflows import SayHelloWorkflow + + +async def test_workflow_with_context_propagator(client: Client): + # Mock out the activity to assert the context value + @activity.defn(name="say_hello_activity") + async def say_hello_activity_mock(name: str) -> str: + try: + assert user_id.get() == "test-user" + except Exception as err: + raise ApplicationError("Assertion fail", non_retryable=True) from err + return f"Mock for {name}" + + # Replace interceptors in client + new_config = client.config() + new_config["interceptors"] = [ContextPropagationInterceptor()] + client = Client(**new_config) + task_queue = f"tq-{uuid.uuid4()}" + + async with Worker( + client, + task_queue=task_queue, + activities=[say_hello_activity_mock], + workflows=[SayHelloWorkflow], + ): + # Set the user during start/signal, but unset after + token = user_id.set("test-user") + handle = await client.start_workflow( + SayHelloWorkflow.run, + "some-name", + id=f"wf-{uuid.uuid4()}", + task_queue=task_queue, + ) + await handle.signal(SayHelloWorkflow.signal_complete) + user_id.reset(token) + result = await handle.result() + assert result == "Mock for some-name" From 12d57bf127ba7359670869fbd78238a4e1cdc0e4 Mon Sep 17 00:00:00 2001 From: James Watkins-Harvey Date: Thu, 6 Jun 2024 10:40:23 -0400 Subject: [PATCH 51/84] Bump GitHub Actions (#121) --- .github/workflows/ci.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 06acdd9c..160c67db 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -30,10 +30,10 @@ jobs: steps: - name: Print build information run: "echo head_ref: ${{ github.head_ref }}, ref: ${{ github.ref }}, os: ${{ matrix.os }}, python: ${{ matrix.python }}" - - uses: actions/checkout@v2 + - uses: actions/checkout@v4 with: submodules: recursive - - uses: actions/setup-python@v4 + - uses: actions/setup-python@v5 with: python-version: ${{ matrix.python }} # Using fixed Poetry version until From ce1257684145acd8dc3a4b5d139f1be6c0a2c6a5 Mon Sep 17 00:00:00 2001 From: Mike Nichols Date: Tue, 11 Jun 2024 11:12:52 -0400 Subject: [PATCH 52/84] fix missing sleep to properly poll inside activity (#122) * fix missing sleep to properly poll inside activity * implement Chads guidance * take2 and wrap whole thing in cancellederror * moar better log * await the things * make test_service be async * poe! --- polling/frequent/activities.py | 19 ++++++++++++++++--- polling/test_service.py | 2 +- 2 files changed, 17 insertions(+), 4 deletions(-) diff --git a/polling/frequent/activities.py b/polling/frequent/activities.py index 064af6cb..2b49e379 100644 --- a/polling/frequent/activities.py +++ b/polling/frequent/activities.py @@ -1,3 +1,5 @@ +import asyncio +import time from dataclasses import dataclass from temporalio import activity @@ -16,7 +18,18 @@ async def compose_greeting(input: ComposeGreetingInput) -> str: test_service = TestService() while True: try: - result = test_service.get_service_result(input) - return result - except Exception: + try: + result = await test_service.get_service_result(input) + activity.logger.info(f"Exiting activity ${result}") + return result + except Exception as e: + # swallow exception since service is down + activity.logger.debug("Failed, trying again shortly", exc_info=True) + activity.heartbeat("Invoking activity") + await asyncio.sleep(1) + except asyncio.CancelledError: + # activity was either cancelled or workflow was completed or worker shut down + # if you need to clean up you can catch this. + # Here we are just reraising the exception + raise diff --git a/polling/test_service.py b/polling/test_service.py index 5bcec7cd..3744998a 100644 --- a/polling/test_service.py +++ b/polling/test_service.py @@ -3,7 +3,7 @@ def __init__(self): self.try_attempts = 0 self.error_attempts = 5 - def get_service_result(self, input): + async def get_service_result(self, input): print( f"Attempt {self.try_attempts}" f" of {self.error_attempts} to invoke service" From ba5fd0fd4933f5ffa214091d0c80279083c017b5 Mon Sep 17 00:00:00 2001 From: Brendan Myers Date: Wed, 12 Jun 2024 08:30:20 +1000 Subject: [PATCH 53/84] Bedrock sample (#116) * init + fix: logging * workflow 2 now gives a chat summary at the end. Added python typing * formatting * fix: workflow params, localized try/catch, types, tidying * refactor: activities to fit blog, workers to single aync function * feat: sync return result * refactor: tidy * refactor: only generate summary at wf end * fix: query named * docs: add bedrock link to readme * refactor: rename bedrock sample directories * build: use poetry to run bedrock samples * refactor: rename dirs to allow poe to run without modification * refactor: shared activity, shared boto3 client, separate workflow ids * refactor: remove unneeded kwargs * refactor: minor tidyups * fix: linting * fix: start workflow with empty params * refactor: only summarize once * refactor: linting * refactor * log warning if messages received while chat is closed * chore: linting * Update bedrock/basic/README.md Co-authored-by: Chad Retz * Update bedrock/basic/send_message.py Co-authored-by: Chad Retz * Update bedrock/entity/workflows.py Co-authored-by: Chad Retz * chad changes * prerequisites in README * refactor: mionr changes --------- Co-authored-by: Steve Androulakis Co-authored-by: Chad Retz --- README.md | 1 + bedrock/README.md | 25 + bedrock/__init__.py | 0 bedrock/basic/README.md | 10 + bedrock/basic/__init__.py | 0 bedrock/basic/run_worker.py | 35 + bedrock/basic/send_message.py | 29 + bedrock/basic/workflows.py | 24 + bedrock/entity/README.md | 19 + bedrock/entity/__init__.py | 0 bedrock/entity/end_chat.py | 22 + bedrock/entity/get_history.py | 31 + bedrock/entity/run_worker.py | 35 + bedrock/entity/send_message.py | 30 + bedrock/entity/workflows.py | 165 +++ bedrock/shared/__init__.py | 0 bedrock/shared/activities.py | 39 + bedrock/signals_and_queries/README.md | 19 + bedrock/signals_and_queries/__init__.py | 0 bedrock/signals_and_queries/get_history.py | 31 + bedrock/signals_and_queries/run_worker.py | 35 + bedrock/signals_and_queries/send_message.py | 31 + bedrock/signals_and_queries/workflows.py | 110 ++ poetry.lock | 1014 +++++++++---------- pyproject.toml | 5 + 25 files changed, 1189 insertions(+), 521 deletions(-) create mode 100644 bedrock/README.md create mode 100644 bedrock/__init__.py create mode 100644 bedrock/basic/README.md create mode 100644 bedrock/basic/__init__.py create mode 100644 bedrock/basic/run_worker.py create mode 100644 bedrock/basic/send_message.py create mode 100644 bedrock/basic/workflows.py create mode 100644 bedrock/entity/README.md create mode 100644 bedrock/entity/__init__.py create mode 100644 bedrock/entity/end_chat.py create mode 100644 bedrock/entity/get_history.py create mode 100644 bedrock/entity/run_worker.py create mode 100644 bedrock/entity/send_message.py create mode 100644 bedrock/entity/workflows.py create mode 100644 bedrock/shared/__init__.py create mode 100644 bedrock/shared/activities.py create mode 100644 bedrock/signals_and_queries/README.md create mode 100644 bedrock/signals_and_queries/__init__.py create mode 100644 bedrock/signals_and_queries/get_history.py create mode 100644 bedrock/signals_and_queries/run_worker.py create mode 100644 bedrock/signals_and_queries/send_message.py create mode 100644 bedrock/signals_and_queries/workflows.py diff --git a/README.md b/README.md index aef520bc..5eb48d46 100644 --- a/README.md +++ b/README.md @@ -52,6 +52,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [hello_signal](hello/hello_signal.py) - Send signals to a workflow. * [activity_worker](activity_worker) - Use Python activities from a workflow in another language. +* [bedrock](bedrock) - Orchestrate a chatbot with Amazon Bedrock. * [cloud_export_to_parquet](cloud_export_to_parquet) - Set up schedule workflow to process exported files on an hourly basis * [context_propagation](context_propagation) - Context propagation through workflows/activities via interceptor. * [custom_converter](custom_converter) - Use a custom payload converter to handle custom types. diff --git a/bedrock/README.md b/bedrock/README.md new file mode 100644 index 00000000..b91fa5e5 --- /dev/null +++ b/bedrock/README.md @@ -0,0 +1,25 @@ +# AI Chatbot example using Amazon Bedrock + +Demonstrates how Temporal and Amazon Bedrock can be used to quickly build bulletproof AI applications. + +## Samples + +* [basic](basic) - A basic Bedrock workflow to process a single prompt. +* [signals_and_queries](signals_and_queries) - Extension to the basic workflow to allow multiple prompts through signals & queries. +* [entity](entity) - Full multi-Turn chat using an entity workflow.. + +## Pre-requisites + +1. An AWS account with Bedrock enabled. +2. A machine that has access to Bedrock. +3. A local Temporal server running on the same machine. See [Temporal's dev server docs](https://docs.temporal.io/cli#start-dev-server) for more information. + +These examples use Amazon's Python SDK (Boto3). To configure Boto3 to use your AWS credentials, follow the instructions in [the Boto3 documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html). + +## Running the samples + +For these sample, the optional `bedrock` dependency group must be included. To include, run: + + poetry install --with bedrock + +There are 3 Bedrock samples, see the README.md in each sub-directory for instructions on running each. \ No newline at end of file diff --git a/bedrock/__init__.py b/bedrock/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/bedrock/basic/README.md b/bedrock/basic/README.md new file mode 100644 index 00000000..22a40cdd --- /dev/null +++ b/bedrock/basic/README.md @@ -0,0 +1,10 @@ +# Basic Amazon Bedrock workflow + +A basic Bedrock workflow. Starts a workflow with a prompt, generates a response and ends the workflow. + +To run, first see `samples-python` [README.md](../../README.md), and `bedrock` [README.md](../README.md) for prerequisites specific to this sample. Once set up, run the following from this directory: + +1. Run the worker: `poetry run python run_worker.py` +2. In another terminal run the client with a prompt: + + e.g. `poetry run python send_message.py 'What animals are marsupials?'` \ No newline at end of file diff --git a/bedrock/basic/__init__.py b/bedrock/basic/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/bedrock/basic/run_worker.py b/bedrock/basic/run_worker.py new file mode 100644 index 00000000..fee8aa5d --- /dev/null +++ b/bedrock/basic/run_worker.py @@ -0,0 +1,35 @@ +import asyncio +import concurrent.futures +import logging + +from temporalio.client import Client +from temporalio.worker import Worker +from workflows import BasicBedrockWorkflow + +from bedrock.shared.activities import BedrockActivities + + +async def main(): + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + activities = BedrockActivities() + + # Run the worker + with concurrent.futures.ThreadPoolExecutor(max_workers=100) as activity_executor: + worker = Worker( + client, + task_queue="bedrock-task-queue", + workflows=[BasicBedrockWorkflow], + activities=[activities.prompt_bedrock], + activity_executor=activity_executor, + ) + await worker.run() + + +if __name__ == "__main__": + print("Starting worker") + print("Then run 'python send_message.py \"\"'") + + logging.basicConfig(level=logging.INFO) + + asyncio.run(main()) diff --git a/bedrock/basic/send_message.py b/bedrock/basic/send_message.py new file mode 100644 index 00000000..1b4cc995 --- /dev/null +++ b/bedrock/basic/send_message.py @@ -0,0 +1,29 @@ +import asyncio +import sys + +from temporalio.client import Client +from workflows import BasicBedrockWorkflow + + +async def main(prompt: str) -> str: + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + + # Start the workflow + workflow_id = "basic-bedrock-workflow" + handle = await client.start_workflow( + BasicBedrockWorkflow.run, + prompt, # Initial prompt + id=workflow_id, + task_queue="bedrock-task-queue", + ) + return await handle.result() + + +if __name__ == "__main__": + if len(sys.argv) != 2: + print("Usage: python send_message.py ''") + print("Example: python send_message.py 'What animals are marsupials?'") + else: + result = asyncio.run(main(sys.argv[1])) + print(result) diff --git a/bedrock/basic/workflows.py b/bedrock/basic/workflows.py new file mode 100644 index 00000000..9968704d --- /dev/null +++ b/bedrock/basic/workflows.py @@ -0,0 +1,24 @@ +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from bedrock.shared.activities import BedrockActivities + + +@workflow.defn +class BasicBedrockWorkflow: + @workflow.run + async def run(self, prompt: str) -> str: + + workflow.logger.info("Prompt: %s" % prompt) + + response = await workflow.execute_activity_method( + BedrockActivities.prompt_bedrock, + prompt, + schedule_to_close_timeout=timedelta(seconds=20), + ) + + workflow.logger.info("Response: %s" % response) + + return response diff --git a/bedrock/entity/README.md b/bedrock/entity/README.md new file mode 100644 index 00000000..e6104945 --- /dev/null +++ b/bedrock/entity/README.md @@ -0,0 +1,19 @@ +# Multi-turn chat with Amazon Bedrock Entity Workflow + +Multi-Turn Chat using an Entity Workflow. The workflow runs forever unless explicitly ended. The workflow continues as new after a configurable number of chat turns to keep the prompt size small and the Temporal event history small. Each continued-as-new workflow receives a summary of the conversation history so far for context. + +To run, first see `samples-python` [README.md](../../README.md), and `bedrock` [README.md](../README.md) for prerequisites specific to this sample. Once set up, run the following from this directory: + +1. Run the worker: `poetry run python run_worker.py` +2. In another terminal run the client with a prompt. + + Example: `poetry run python send_message.py 'What animals are marsupials?'` + +3. View the worker's output for the response. +4. Give followup prompts by signaling the workflow. + + Example: `poetry run python send_message.py 'Do they lay eggs?'` +5. Get the conversation history summary by querying the workflow. + + Example: `poetry run python get_history.py` +6. To end the chat session, run `poetry run python end_chat.py` diff --git a/bedrock/entity/__init__.py b/bedrock/entity/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/bedrock/entity/end_chat.py b/bedrock/entity/end_chat.py new file mode 100644 index 00000000..49125306 --- /dev/null +++ b/bedrock/entity/end_chat.py @@ -0,0 +1,22 @@ +import asyncio +import sys + +from temporalio.client import Client +from workflows import EntityBedrockWorkflow + + +async def main(): + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + + workflow_id = "entity-bedrock-workflow" + + handle = client.get_workflow_handle_for(EntityBedrockWorkflow.run, workflow_id) + + # Sends a signal to the workflow + await handle.signal(EntityBedrockWorkflow.end_chat) + + +if __name__ == "__main__": + print("Sending signal to end chat.") + asyncio.run(main()) diff --git a/bedrock/entity/get_history.py b/bedrock/entity/get_history.py new file mode 100644 index 00000000..1600886e --- /dev/null +++ b/bedrock/entity/get_history.py @@ -0,0 +1,31 @@ +import asyncio + +from temporalio.client import Client +from workflows import EntityBedrockWorkflow + + +async def main(): + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + workflow_id = "entity-bedrock-workflow" + + handle = client.get_workflow_handle(workflow_id) + + # Queries the workflow for the conversation history + history = await handle.query(EntityBedrockWorkflow.get_conversation_history) + + print("Conversation History") + print( + *(f"{speaker.title()}: {message}\n" for speaker, message in history), sep="\n" + ) + + # Queries the workflow for the conversation summary + summary = await handle.query(EntityBedrockWorkflow.get_summary_from_history) + + if summary is not None: + print("Conversation Summary:") + print(summary) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/bedrock/entity/run_worker.py b/bedrock/entity/run_worker.py new file mode 100644 index 00000000..3e3b1e64 --- /dev/null +++ b/bedrock/entity/run_worker.py @@ -0,0 +1,35 @@ +import asyncio +import concurrent.futures +import logging + +from temporalio.client import Client +from temporalio.worker import Worker +from workflows import EntityBedrockWorkflow + +from bedrock.shared.activities import BedrockActivities + + +async def main(): + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + activities = BedrockActivities() + + # Run the worker + with concurrent.futures.ThreadPoolExecutor(max_workers=100) as activity_executor: + worker = Worker( + client, + task_queue="bedrock-task-queue", + workflows=[EntityBedrockWorkflow], + activities=[activities.prompt_bedrock], + activity_executor=activity_executor, + ) + await worker.run() + + +if __name__ == "__main__": + print("Starting worker") + print("Then run 'python send_message.py \"\"'") + + logging.basicConfig(level=logging.INFO) + + asyncio.run(main()) diff --git a/bedrock/entity/send_message.py b/bedrock/entity/send_message.py new file mode 100644 index 00000000..177b4b69 --- /dev/null +++ b/bedrock/entity/send_message.py @@ -0,0 +1,30 @@ +import asyncio +import sys + +from temporalio.client import Client +from workflows import BedrockParams, EntityBedrockWorkflow + + +async def main(prompt): + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + + workflow_id = "entity-bedrock-workflow" + + # Sends a signal to the workflow (and starts it if needed) + await client.start_workflow( + EntityBedrockWorkflow.run, + BedrockParams(None, None), + id=workflow_id, + task_queue="bedrock-task-queue", + start_signal="user_prompt", + start_signal_args=[prompt], + ) + + +if __name__ == "__main__": + if len(sys.argv) != 2: + print("Usage: python send_message.py ''") + print("Example: python send_message.py 'What animals are marsupials?'") + else: + asyncio.run(main(sys.argv[1])) diff --git a/bedrock/entity/workflows.py b/bedrock/entity/workflows.py new file mode 100644 index 00000000..3dfdf530 --- /dev/null +++ b/bedrock/entity/workflows.py @@ -0,0 +1,165 @@ +import asyncio +from collections import deque +from dataclasses import dataclass +from datetime import timedelta +from typing import Deque, List, Optional, Tuple + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from bedrock.shared.activities import BedrockActivities + + +@dataclass +class BedrockParams: + conversation_summary: Optional[str] = None + prompt_queue: Optional[Deque[str]] = None + + +@workflow.defn +class EntityBedrockWorkflow: + def __init__(self) -> None: + # List to store prompt history + self.conversation_history: List[Tuple[str, str]] = [] + self.prompt_queue: Deque[str] = deque() + self.conversation_summary: Optional[str] = None + self.continue_as_new_per_turns: int = 6 + self.chat_ended: bool = False + + @workflow.run + async def run( + self, + params: BedrockParams, + ) -> str: + + if params and params.conversation_summary: + self.conversation_history.append( + ("conversation_summary", params.conversation_summary) + ) + + self.conversation_summary = params.conversation_summary + + if params and params.prompt_queue: + self.prompt_queue.extend(params.prompt_queue) + + while True: + workflow.logger.info("Waiting for prompts...") + + # Wait for a chat message (signal) or timeout + await workflow.wait_condition( + lambda: bool(self.prompt_queue) or self.chat_ended + ) + + if self.prompt_queue: + # Fetch next user prompt and add to conversation history + prompt = self.prompt_queue.popleft() + self.conversation_history.append(("user", prompt)) + + workflow.logger.info("Prompt: " + prompt) + + # Send prompt to Amazon Bedrock + response = await workflow.execute_activity_method( + BedrockActivities.prompt_bedrock, + self.prompt_with_history(prompt), + schedule_to_close_timeout=timedelta(seconds=20), + ) + + workflow.logger.info(f"{response}") + + # Append the response to the conversation history + self.conversation_history.append(("response", response)) + + # Continue as new every x conversational turns to avoid event + # history size getting too large. This is also to avoid the + # prompt (with conversational history) getting too large for + # AWS Bedrock. + + # We summarize the chat to date and use that as input to the + # new workflow + if len(self.conversation_history) >= self.continue_as_new_per_turns: + # Summarize the conversation to date using Amazon Bedrock + self.conversation_summary = await workflow.start_activity_method( + BedrockActivities.prompt_bedrock, + self.prompt_summary_from_history(), + schedule_to_close_timeout=timedelta(seconds=20), + ) + + workflow.logger.info( + "Continuing as new due to %i conversational turns." + % self.continue_as_new_per_turns, + ) + + workflow.continue_as_new( + args=[ + BedrockParams( + self.conversation_summary, + self.prompt_queue, + ) + ] + ) + + continue + + # If end chat signal was sent + if self.chat_ended: + # The workflow might be continued as new without any + # chat to summarize, so only call Bedrock if there + # is more than the previous summary in the history. + if len(self.conversation_history) > 1: + # Summarize the conversation to date using Amazon Bedrock + self.conversation_summary = await workflow.start_activity_method( + BedrockActivities.prompt_bedrock, + self.prompt_summary_from_history(), + schedule_to_close_timeout=timedelta(seconds=20), + ) + + workflow.logger.info( + "Chat ended. Conversation summary:\n" + + f"{self.conversation_summary}" + ) + + return f"{self.conversation_history}" + + @workflow.signal + async def user_prompt(self, prompt: str) -> None: + # Chat ended but the workflow is waiting for a chat summary to be generated + if self.chat_ended: + workflow.logger.warn(f"Message dropped due to chat closed: {prompt}") + return + + self.prompt_queue.append(prompt) + + @workflow.signal + async def end_chat(self) -> None: + self.chat_ended = True + + @workflow.query + def get_conversation_history(self) -> List[Tuple[str, str]]: + return self.conversation_history + + @workflow.query + def get_summary_from_history(self) -> Optional[str]: + return self.conversation_summary + + # Helper method used in prompts to Amazon Bedrock + def format_history(self) -> str: + return " ".join(f"{text}" for _, text in self.conversation_history) + + # Create the prompt given to Amazon Bedrock for each conversational turn + def prompt_with_history(self, prompt: str) -> str: + history_string = self.format_history() + return ( + f"Here is the conversation history: {history_string} Please add " + + "a few sentence response to the prompt in plain text sentences. " + + "Don't editorialize or add metadata like response. Keep the " + + f"text a plain explanation based on the history. Prompt: {prompt}" + ) + + # Create the prompt to Amazon Bedrock to summarize the conversation history + def prompt_summary_from_history(self) -> str: + history_string = self.format_history() + return ( + "Here is the conversation history between a user and a chatbot: " + + f"{history_string} -- Please produce a two sentence summary of " + + "this conversation." + ) diff --git a/bedrock/shared/__init__.py b/bedrock/shared/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/bedrock/shared/activities.py b/bedrock/shared/activities.py new file mode 100644 index 00000000..98c8d055 --- /dev/null +++ b/bedrock/shared/activities.py @@ -0,0 +1,39 @@ +import json + +import boto3 +from botocore.config import Config +from temporalio import activity + +config = Config(region_name="us-west-2") + + +class BedrockActivities: + def __init__(self) -> None: + self.bedrock = boto3.client(service_name="bedrock-runtime", config=config) + + @activity.defn + def prompt_bedrock(self, prompt: str) -> str: + # Model params + modelId = "meta.llama2-70b-chat-v1" + accept = "application/json" + contentType = "application/json" + max_gen_len = 512 + temperature = 0.1 + top_p = 0.2 + + body = json.dumps( + { + "prompt": prompt, + "max_gen_len": max_gen_len, + "temperature": temperature, + "top_p": top_p, + } + ) + + response = self.bedrock.invoke_model( + body=body, modelId=modelId, accept=accept, contentType=contentType + ) + + response_body = json.loads(response.get("body").read()) + + return response_body.get("generation") diff --git a/bedrock/signals_and_queries/README.md b/bedrock/signals_and_queries/README.md new file mode 100644 index 00000000..877dedc0 --- /dev/null +++ b/bedrock/signals_and_queries/README.md @@ -0,0 +1,19 @@ +# Amazon Bedrock workflow using Signals and Queries + +Adding signals & queries to the [basic Bedrock sample](../1_basic). Starts a workflow with a prompt, allows follow-up prompts to be given using Temporal signals, and allows the conversation history to be queried using Temporal queries. + +To run, first see `samples-python` [README.md](../../README.md), and `bedrock` [README.md](../README.md) for prerequisites specific to this sample. Once set up, run the following from this directory: + +1. Run the worker: `poetry run python run_worker.py` +2. In another terminal run the client with a prompt. + + Example: `poetry run python send_message.py 'What animals are marsupials?'` + +3. View the worker's output for the response. +4. Give followup prompts by signaling the workflow. + + Example: `poetry run python send_message.py 'Do they lay eggs?'` +5. Get the conversation history by querying the workflow. + + Example: `poetry run python get_history.py` +6. The workflow will timeout after inactivity. diff --git a/bedrock/signals_and_queries/__init__.py b/bedrock/signals_and_queries/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/bedrock/signals_and_queries/get_history.py b/bedrock/signals_and_queries/get_history.py new file mode 100644 index 00000000..0bdf0861 --- /dev/null +++ b/bedrock/signals_and_queries/get_history.py @@ -0,0 +1,31 @@ +import asyncio + +from temporalio.client import Client +from workflows import SignalQueryBedrockWorkflow + + +async def main(): + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + workflow_id = "bedrock-workflow-with-signals" + + handle = client.get_workflow_handle(workflow_id) + + # Queries the workflow for the conversation history + history = await handle.query(SignalQueryBedrockWorkflow.get_conversation_history) + + print("Conversation History") + print( + *(f"{speaker.title()}: {message}\n" for speaker, message in history), sep="\n" + ) + + # Queries the workflow for the conversation summary + summary = await handle.query(SignalQueryBedrockWorkflow.get_summary_from_history) + + if summary is not None: + print("Conversation Summary:") + print(summary) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/bedrock/signals_and_queries/run_worker.py b/bedrock/signals_and_queries/run_worker.py new file mode 100644 index 00000000..b3e709a9 --- /dev/null +++ b/bedrock/signals_and_queries/run_worker.py @@ -0,0 +1,35 @@ +import asyncio +import concurrent.futures +import logging + +from temporalio.client import Client +from temporalio.worker import Worker +from workflows import SignalQueryBedrockWorkflow + +from bedrock.shared.activities import BedrockActivities + + +async def main(): + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + activities = BedrockActivities() + + # Run the worker + with concurrent.futures.ThreadPoolExecutor(max_workers=100) as activity_executor: + worker = Worker( + client, + task_queue="bedrock-task-queue", + workflows=[SignalQueryBedrockWorkflow], + activities=[activities.prompt_bedrock], + activity_executor=activity_executor, + ) + await worker.run() + + +if __name__ == "__main__": + print("Starting worker") + print("Then run 'python send_message.py \"\"'") + + logging.basicConfig(level=logging.INFO) + + asyncio.run(main()) diff --git a/bedrock/signals_and_queries/send_message.py b/bedrock/signals_and_queries/send_message.py new file mode 100644 index 00000000..67b8b37e --- /dev/null +++ b/bedrock/signals_and_queries/send_message.py @@ -0,0 +1,31 @@ +import asyncio +import sys + +from temporalio.client import Client +from workflows import SignalQueryBedrockWorkflow + + +async def main(prompt): + # Create client connected to server at the given address + client = await Client.connect("localhost:7233") + + workflow_id = "bedrock-workflow-with-signals" + inactivity_timeout_minutes = 1 + + # Sends a signal to the workflow (and starts it if needed) + await client.start_workflow( + SignalQueryBedrockWorkflow.run, + inactivity_timeout_minutes, + id=workflow_id, + task_queue="bedrock-task-queue", + start_signal="user_prompt", + start_signal_args=[prompt], + ) + + +if __name__ == "__main__": + if len(sys.argv) != 2: + print("Usage: python send_message.py ''") + print("Example: python send_message.py 'What animals are marsupials?'") + else: + asyncio.run(main(sys.argv[1])) diff --git a/bedrock/signals_and_queries/workflows.py b/bedrock/signals_and_queries/workflows.py new file mode 100644 index 00000000..0c9147d7 --- /dev/null +++ b/bedrock/signals_and_queries/workflows.py @@ -0,0 +1,110 @@ +import asyncio +from collections import deque +from datetime import timedelta +from typing import Deque, List, Optional, Tuple + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from bedrock.shared.activities import BedrockActivities + + +@workflow.defn +class SignalQueryBedrockWorkflow: + def __init__(self) -> None: + # List to store prompt history + self.conversation_history: List[Tuple[str, str]] = [] + self.prompt_queue: Deque[str] = deque() + self.conversation_summary = "" + self.chat_timeout: bool = False + + @workflow.run + async def run(self, inactivity_timeout_minutes: int) -> str: + while True: + workflow.logger.info( + "Waiting for prompts... or closing chat after " + + f"{inactivity_timeout_minutes} minute(s)" + ) + + # Wait for a chat message (signal) or timeout + try: + await workflow.wait_condition( + lambda: bool(self.prompt_queue), + timeout=timedelta(minutes=inactivity_timeout_minutes), + ) + # If timeout was reached + except asyncio.TimeoutError: + self.chat_timeout = True + workflow.logger.info("Chat closed due to inactivity") + # End the workflow + break + + while self.prompt_queue: + # Fetch next user prompt and add to conversation history + prompt = self.prompt_queue.popleft() + self.conversation_history.append(("user", prompt)) + + workflow.logger.info(f"Prompt: {prompt}") + + # Send the prompt to Amazon Bedrock + response = await workflow.execute_activity_method( + BedrockActivities.prompt_bedrock, + self.prompt_with_history(prompt), + schedule_to_close_timeout=timedelta(seconds=20), + ) + + workflow.logger.info(f"{response}") + + # Append the response to the conversation history + self.conversation_history.append(("response", response)) + + # Generate a summary before ending the workflow + self.conversation_summary = await workflow.start_activity_method( + BedrockActivities.prompt_bedrock, + self.prompt_summary_from_history(), + schedule_to_close_timeout=timedelta(seconds=20), + ) + + workflow.logger.info(f"Conversation summary:\n{self.conversation_summary}") + + return f"{self.conversation_history}" + + @workflow.signal + async def user_prompt(self, prompt: str) -> None: + # Chat timed out but the workflow is waiting for a chat summary to be generated + if self.chat_timeout: + workflow.logger.warn(f"Message dropped due to chat closed: {prompt}") + return + + self.prompt_queue.append(prompt) + + @workflow.query + def get_conversation_history(self) -> List[Tuple[str, str]]: + return self.conversation_history + + @workflow.query + def get_summary_from_history(self) -> str: + return self.conversation_summary + + # Helper method used in prompts to Amazon Bedrock + def format_history(self) -> str: + return " ".join(f"{text}" for _, text in self.conversation_history) + + # Create the prompt given to Amazon Bedrock for each conversational turn + def prompt_with_history(self, prompt: str) -> str: + history_string = self.format_history() + return ( + f"Here is the conversation history: {history_string} Please add " + + "a few sentence response to the prompt in plain text sentences. " + + "Don't editorialize or add metadata like response. Keep the " + + f"text a plain explanation based on the history. Prompt: {prompt}" + ) + + # Create the prompt to Amazon Bedrock to summarize the conversation history + def prompt_summary_from_history(self) -> str: + history_string = self.format_history() + return ( + "Here is the conversation history between a user and a chatbot: " + + f"{history_string} -- Please produce a two sentence summary of " + + "this conversation." + ) diff --git a/poetry.lock b/poetry.lock index bfcf9826..5fa72054 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "aiohttp" @@ -209,17 +209,17 @@ uvloop = ["uvloop (>=0.15.2)"] [[package]] name = "boto3" -version = "1.34.89" +version = "1.34.117" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.34.89-py3-none-any.whl", hash = "sha256:f9166f485d64b012d46acd212fb29a45b195a85ff66a645b05b06d9f7572af36"}, - {file = "boto3-1.34.89.tar.gz", hash = "sha256:e0940e43810fe82f5b77442c751491fcc2768af7e7c3e8c15ea158e1ca9b586c"}, + {file = "boto3-1.34.117-py3-none-any.whl", hash = "sha256:1506589e30566bbb2f4997b60968ff7d4ef8a998836c31eedd36437ac3b7408a"}, + {file = "boto3-1.34.117.tar.gz", hash = "sha256:c8a383b904d6faaf7eed0c06e31b423db128e4c09ce7bd2afc39d1cd07030a51"}, ] [package.dependencies] -botocore = ">=1.34.89,<1.35.0" +botocore = ">=1.34.117,<1.35.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -228,13 +228,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.34.89" 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= "^6.0.12", dacite = "^1.8.1" } From 276aaf711ca617ac018fb95643d1977c25d24f92 Mon Sep 17 00:00:00 2001 From: Yash Vanzara Date: Mon, 22 Jul 2024 20:11:06 +0530 Subject: [PATCH 54/84] adds test example for hello_update.py (#118) --- tests/hello/hello_update_test.py | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) create mode 100644 tests/hello/hello_update_test.py diff --git a/tests/hello/hello_update_test.py b/tests/hello/hello_update_test.py new file mode 100644 index 00000000..2a079387 --- /dev/null +++ b/tests/hello/hello_update_test.py @@ -0,0 +1,29 @@ +import uuid + +import pytest +from temporalio.client import Client, WorkflowExecutionStatus +from temporalio.testing import WorkflowEnvironment +from temporalio.worker import Worker + +from hello.hello_update import GreetingWorkflow + + +async def test_update_workflow(client: Client, env: WorkflowEnvironment): + if env.supports_time_skipping: + pytest.skip( + "Time-skipping test server currently has issue with update: https://github.com/temporalio/sdk-java/issues/1903" + ) + task_queue_name = str(uuid.uuid4()) + async with Worker(client, task_queue=task_queue_name, workflows=[GreetingWorkflow]): + handle = await client.start_workflow( + GreetingWorkflow.run, id=str(uuid.uuid4()), task_queue=task_queue_name + ) + + assert WorkflowExecutionStatus.RUNNING == (await handle.describe()).status + + update_result = await handle.execute_update( + GreetingWorkflow.update_workflow_status + ) + assert "Workflow status updated" == update_result + assert "Hello, World!" == (await handle.result()) + assert WorkflowExecutionStatus.COMPLETED == (await handle.describe()).status From 5ae603e275ddf75e609999df700cad3d5729dd68 Mon Sep 17 00:00:00 2001 From: Josh Berry Date: Mon, 22 Jul 2024 09:39:49 -0700 Subject: [PATCH 55/84] Update dev-server instructions in README (#129) - Add a link to how to install the Temporal CLI - Fix the link that shows how to launch the dev server Closes #127. --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 5eb48d46..9620132d 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,8 @@ Prerequisites: * Python >= 3.8 * [Poetry](https://python-poetry.org) -* [Local Temporal server running](https://docs.temporal.io/application-development/foundations#run-a-development-cluster) +* [Temporal CLI installed](https://docs.temporal.io/cli#install) +* [Local Temporal server running](https://docs.temporal.io/cli/server#start-dev) With this repository cloned, run the following at the root of the directory: From 35b476d083438b3933c77000843fe1ef32512ae4 Mon Sep 17 00:00:00 2001 From: Drew Hoskins <166441821+drewhoskins-temporal@users.noreply.github.com> Date: Tue, 23 Jul 2024 18:17:43 -0700 Subject: [PATCH 56/84] Workflow Update and Signal handlers concurrency sample (#123) * Atomic message handlers sample * Remove resize jobs to reduce code size * Misc polish * Add test * Format code * Continue as new * Formatting * Feedback, readme, restructure files and directories * Format * More feedback. Add test-continue-as-new flag. * Feedback; throw ApplicationFailures from update handlers * Formatting * __init__.py * Fix lint issues * Dan Feedback * More typehints * s/atomic/safe/ * Fix and demo idempotency * Compatibility with 3.8 * More feedback * Re-add tests * Fix flaky test * Improve update and tests * list -> set to fix a test * Return a struct rather than a raw value from the list for better hygiene * Remove test dependency on race conditions between health check and adding nodes. * Ruff linting * Use consistent verbs, improve health check * poe format * Minor sample improvements * Skip update tests under Java test server --------- Co-authored-by: Drew Hoskins Co-authored-by: Dan Davison --- README.md | 1 + polling/frequent/README.md | 9 +- polling/infrequent/README.md | 10 +- polling/periodic_sequence/README.md | 10 +- .../safe_message_handlers/workflow_test.py | 155 +++++++++++ updates_and_signals/__init__.py | 0 .../safe_message_handlers/README.md | 22 ++ .../safe_message_handlers/__init__.py | 0 .../safe_message_handlers/activities.py | 45 +++ .../safe_message_handlers/starter.py | 84 ++++++ .../safe_message_handlers/worker.py | 40 +++ .../safe_message_handlers/workflow.py | 256 ++++++++++++++++++ 12 files changed, 620 insertions(+), 12 deletions(-) create mode 100644 tests/updates_and_signals/safe_message_handlers/workflow_test.py create mode 100644 updates_and_signals/__init__.py create mode 100644 updates_and_signals/safe_message_handlers/README.md create mode 100644 updates_and_signals/safe_message_handlers/__init__.py create mode 100644 updates_and_signals/safe_message_handlers/activities.py create mode 100644 updates_and_signals/safe_message_handlers/starter.py create mode 100644 updates_and_signals/safe_message_handlers/worker.py create mode 100644 updates_and_signals/safe_message_handlers/workflow.py diff --git a/README.md b/README.md index 9620132d..cdf88c6f 100644 --- a/README.md +++ b/README.md @@ -67,6 +67,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [polling](polling) - Recommended implementation of an activity that needs to periodically poll an external resource waiting its successful completion. * [prometheus](prometheus) - Configure Prometheus metrics on clients/workers. * [pydantic_converter](pydantic_converter) - Data converter for using Pydantic models. +* [safe_message_handlers](updates_and_signals/safe_message_handlers/) - Safely handling updates and signals. * [schedules](schedules) - Demonstrates a Workflow Execution that occurs according to a schedule. * [sentry](sentry) - Report errors to Sentry. * [worker_specific_task_queues](worker_specific_task_queues) - Use unique task queues to ensure activities run on specific workers. diff --git a/polling/frequent/README.md b/polling/frequent/README.md index 33b6bc0a..a54ea267 100644 --- a/polling/frequent/README.md +++ b/polling/frequent/README.md @@ -8,10 +8,11 @@ To run, first see [README.md](../../README.md) for prerequisites. Then, run the following from this directory to run the sample: -```bash -poetry run python run_worker.py -poetry run python run_frequent.py -``` + poetry run python run_worker.py + +Then, in another terminal, run the following to execute the workflow: + + poetry run python run_frequent.py The Workflow will continue to poll the service and heartbeat on every iteration until it succeeds. diff --git a/polling/infrequent/README.md b/polling/infrequent/README.md index 7c0a3225..c1b06d7f 100644 --- a/polling/infrequent/README.md +++ b/polling/infrequent/README.md @@ -13,10 +13,12 @@ To run, first see [README.md](../../README.md) for prerequisites. Then, run the following from this directory to run the sample: -```bash -poetry run python run_worker.py -poetry run python run_infrequent.py -``` + poetry run python run_worker.py + +Then, in another terminal, run the following to execute the workflow: + + poetry run python run_infrequent.py + Since the test service simulates being _down_ for four polling attempts and then returns _OK_ on the fifth poll attempt, the Workflow will perform four Activity retries with a 60-second poll interval, and then return the service result on the successful fifth attempt. diff --git a/polling/periodic_sequence/README.md b/polling/periodic_sequence/README.md index 65fe0669..f8416588 100644 --- a/polling/periodic_sequence/README.md +++ b/polling/periodic_sequence/README.md @@ -8,10 +8,12 @@ To run, first see [README.md](../../README.md) for prerequisites. Then, run the following from this directory to run the sample: -```bash -poetry run python run_worker.py -poetry run python run_periodic.py -``` + poetry run python run_worker.py + +Then, in another terminal, run the following to execute the workflow: + + poetry run python run_periodic.py + This will start a Workflow and Child Workflow to periodically poll an Activity. The Parent Workflow is not aware about the Child Workflow calling Continue-As-New, and it gets notified when it completes (or fails). \ No newline at end of file diff --git a/tests/updates_and_signals/safe_message_handlers/workflow_test.py b/tests/updates_and_signals/safe_message_handlers/workflow_test.py new file mode 100644 index 00000000..852419ef --- /dev/null +++ b/tests/updates_and_signals/safe_message_handlers/workflow_test.py @@ -0,0 +1,155 @@ +import asyncio +import uuid + +import pytest +from temporalio.client import Client, WorkflowUpdateFailedError +from temporalio.exceptions import ApplicationError +from temporalio.testing import WorkflowEnvironment +from temporalio.worker import Worker + +from updates_and_signals.safe_message_handlers.activities import ( + assign_nodes_to_job, + find_bad_nodes, + unassign_nodes_for_job, +) +from updates_and_signals.safe_message_handlers.workflow import ( + ClusterManagerAssignNodesToJobInput, + ClusterManagerDeleteJobInput, + ClusterManagerInput, + ClusterManagerWorkflow, +) + + +async def test_safe_message_handlers(client: Client, env: WorkflowEnvironment): + if env.supports_time_skipping: + pytest.skip( + "Java test server: https://github.com/temporalio/sdk-java/issues/1903" + ) + task_queue = f"tq-{uuid.uuid4()}" + async with Worker( + client, + task_queue=task_queue, + workflows=[ClusterManagerWorkflow], + activities=[assign_nodes_to_job, unassign_nodes_for_job, find_bad_nodes], + ): + cluster_manager_handle = await client.start_workflow( + ClusterManagerWorkflow.run, + ClusterManagerInput(), + id=f"ClusterManagerWorkflow-{uuid.uuid4()}", + task_queue=task_queue, + ) + await cluster_manager_handle.signal(ClusterManagerWorkflow.start_cluster) + + allocation_updates = [] + for i in range(6): + allocation_updates.append( + cluster_manager_handle.execute_update( + ClusterManagerWorkflow.assign_nodes_to_job, + ClusterManagerAssignNodesToJobInput( + total_num_nodes=2, job_name=f"task-{i}" + ), + ) + ) + results = await asyncio.gather(*allocation_updates) + for result in results: + assert len(result.nodes_assigned) == 2 + + await asyncio.sleep(1) + + deletion_updates = [] + for i in range(6): + deletion_updates.append( + cluster_manager_handle.execute_update( + ClusterManagerWorkflow.delete_job, + ClusterManagerDeleteJobInput(job_name=f"task-{i}"), + ) + ) + await asyncio.gather(*deletion_updates) + + await cluster_manager_handle.signal(ClusterManagerWorkflow.shutdown_cluster) + + result = await cluster_manager_handle.result() + assert result.num_currently_assigned_nodes == 0 + + +async def test_update_idempotency(client: Client, env: WorkflowEnvironment): + if env.supports_time_skipping: + pytest.skip( + "Java test server: https://github.com/temporalio/sdk-java/issues/1903" + ) + task_queue = f"tq-{uuid.uuid4()}" + async with Worker( + client, + task_queue=task_queue, + workflows=[ClusterManagerWorkflow], + activities=[assign_nodes_to_job, unassign_nodes_for_job, find_bad_nodes], + ): + cluster_manager_handle = await client.start_workflow( + ClusterManagerWorkflow.run, + ClusterManagerInput(), + id=f"ClusterManagerWorkflow-{uuid.uuid4()}", + task_queue=task_queue, + ) + + await cluster_manager_handle.signal(ClusterManagerWorkflow.start_cluster) + + result_1 = await cluster_manager_handle.execute_update( + ClusterManagerWorkflow.assign_nodes_to_job, + ClusterManagerAssignNodesToJobInput( + total_num_nodes=5, job_name="jobby-job" + ), + ) + # simulate that in calling it twice, the operation is idempotent + result_2 = await cluster_manager_handle.execute_update( + ClusterManagerWorkflow.assign_nodes_to_job, + ClusterManagerAssignNodesToJobInput( + total_num_nodes=5, job_name="jobby-job" + ), + ) + # the second call should not assign more nodes (it may return fewer if the health check finds bad nodes + # in between the two signals.) + assert result_1.nodes_assigned >= result_2.nodes_assigned + + +async def test_update_failure(client: Client, env: WorkflowEnvironment): + if env.supports_time_skipping: + pytest.skip( + "Java test server: https://github.com/temporalio/sdk-java/issues/1903" + ) + task_queue = f"tq-{uuid.uuid4()}" + async with Worker( + client, + task_queue=task_queue, + workflows=[ClusterManagerWorkflow], + activities=[assign_nodes_to_job, unassign_nodes_for_job, find_bad_nodes], + ): + cluster_manager_handle = await client.start_workflow( + ClusterManagerWorkflow.run, + ClusterManagerInput(), + id=f"ClusterManagerWorkflow-{uuid.uuid4()}", + task_queue=task_queue, + ) + + await cluster_manager_handle.signal(ClusterManagerWorkflow.start_cluster) + + await cluster_manager_handle.execute_update( + ClusterManagerWorkflow.assign_nodes_to_job, + ClusterManagerAssignNodesToJobInput( + total_num_nodes=24, job_name="big-task" + ), + ) + try: + # Try to assign too many nodes + await cluster_manager_handle.execute_update( + ClusterManagerWorkflow.assign_nodes_to_job, + ClusterManagerAssignNodesToJobInput( + total_num_nodes=3, job_name="little-task" + ), + ) + except WorkflowUpdateFailedError as e: + assert isinstance(e.cause, ApplicationError) + assert e.cause.message == "Cannot assign 3 nodes; have only 1 available" + finally: + await cluster_manager_handle.signal(ClusterManagerWorkflow.shutdown_cluster) + result = await cluster_manager_handle.result() + assert result.num_currently_assigned_nodes + result.num_bad_nodes == 24 diff --git a/updates_and_signals/__init__.py b/updates_and_signals/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/updates_and_signals/safe_message_handlers/README.md b/updates_and_signals/safe_message_handlers/README.md new file mode 100644 index 00000000..44bb9457 --- /dev/null +++ b/updates_and_signals/safe_message_handlers/README.md @@ -0,0 +1,22 @@ +# Atomic message handlers + +This sample shows off important techniques for handling signals and updates, aka messages. In particular, it illustrates how message handlers can interleave or not be completed before the workflow completes, and how you can manage that. + +* Here, using workflow.wait_condition, signal and update handlers will only operate when the workflow is within a certain state--between cluster_started and cluster_shutdown. +* You can run start_workflow with an initializer signal that you want to run before anything else other than the workflow's constructor. This pattern is known as "signal-with-start." +* Message handlers can block and their actions can be interleaved with one another and with the main workflow. This can easily cause bugs, so we use a lock to protect shared state from interleaved access. +* Message handlers should also finish before the workflow run completes. One option is to use a lock. +* An "Entity" workflow, i.e. a long-lived workflow, periodically "continues as new". It must do this to prevent its history from growing too large, and it passes its state to the next workflow. You can check `workflow.info().is_continue_as_new_suggested()` to see when it's time. Just make sure message handlers have finished before doing so. +* Message handlers can be made idempotent. See update `ClusterManager.assign_nodes_to_job`. + +To run, first see [README.md](../../README.md) for prerequisites. + +Then, run the following from this directory to run the worker: +\ + poetry run python worker.py + +Then, in another terminal, run the following to execute the workflow: + + poetry run python starter.py + +This will start a worker to run your workflow and activities, then start a ClusterManagerWorkflow and put it through its paces. diff --git a/updates_and_signals/safe_message_handlers/__init__.py b/updates_and_signals/safe_message_handlers/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/updates_and_signals/safe_message_handlers/activities.py b/updates_and_signals/safe_message_handlers/activities.py new file mode 100644 index 00000000..3a1c9cd2 --- /dev/null +++ b/updates_and_signals/safe_message_handlers/activities.py @@ -0,0 +1,45 @@ +import asyncio +from dataclasses import dataclass +from typing import List, Set + +from temporalio import activity + + +@dataclass +class AssignNodesToJobInput: + nodes: List[str] + job_name: str + + +@activity.defn +async def assign_nodes_to_job(input: AssignNodesToJobInput) -> None: + print(f"Assigning nodes {input.nodes} to job {input.job_name}") + await asyncio.sleep(0.1) + + +@dataclass +class UnassignNodesForJobInput: + nodes: List[str] + job_name: str + + +@activity.defn +async def unassign_nodes_for_job(input: UnassignNodesForJobInput) -> None: + print(f"Deallocating nodes {input.nodes} from job {input.job_name}") + await asyncio.sleep(0.1) + + +@dataclass +class FindBadNodesInput: + nodes_to_check: Set[str] + + +@activity.defn +async def find_bad_nodes(input: FindBadNodesInput) -> Set[str]: + await asyncio.sleep(0.1) + bad_nodes = set([n for n in input.nodes_to_check if int(n) % 5 == 0]) + if bad_nodes: + print(f"Found bad nodes: {bad_nodes}") + else: + print("No new bad nodes found.") + return bad_nodes diff --git a/updates_and_signals/safe_message_handlers/starter.py b/updates_and_signals/safe_message_handlers/starter.py new file mode 100644 index 00000000..adb56a66 --- /dev/null +++ b/updates_and_signals/safe_message_handlers/starter.py @@ -0,0 +1,84 @@ +import argparse +import asyncio +import logging +import uuid +from typing import Optional + +from temporalio import common +from temporalio.client import Client, WorkflowHandle + +from updates_and_signals.safe_message_handlers.workflow import ( + ClusterManagerAssignNodesToJobInput, + ClusterManagerDeleteJobInput, + ClusterManagerInput, + ClusterManagerWorkflow, +) + + +async def do_cluster_lifecycle(wf: WorkflowHandle, delay_seconds: Optional[int] = None): + + await wf.signal(ClusterManagerWorkflow.start_cluster) + + print("Assigning jobs to nodes...") + allocation_updates = [] + for i in range(6): + allocation_updates.append( + wf.execute_update( + ClusterManagerWorkflow.assign_nodes_to_job, + ClusterManagerAssignNodesToJobInput( + total_num_nodes=2, job_name=f"task-{i}" + ), + ) + ) + await asyncio.gather(*allocation_updates) + + print(f"Sleeping for {delay_seconds} second(s)") + if delay_seconds: + await asyncio.sleep(delay_seconds) + + print("Deleting jobs...") + deletion_updates = [] + for i in range(6): + deletion_updates.append( + wf.execute_update( + ClusterManagerWorkflow.delete_job, + ClusterManagerDeleteJobInput(job_name=f"task-{i}"), + ) + ) + await asyncio.gather(*deletion_updates) + + await wf.signal(ClusterManagerWorkflow.shutdown_cluster) + + +async def main(should_test_continue_as_new: bool): + # Connect to Temporal + client = await Client.connect("localhost:7233") + + print("Starting cluster") + cluster_manager_handle = await client.start_workflow( + ClusterManagerWorkflow.run, + ClusterManagerInput(test_continue_as_new=should_test_continue_as_new), + id=f"ClusterManagerWorkflow-{uuid.uuid4()}", + task_queue="safe-message-handlers-task-queue", + id_reuse_policy=common.WorkflowIDReusePolicy.TERMINATE_IF_RUNNING, + ) + delay_seconds = 10 if should_test_continue_as_new else 1 + await do_cluster_lifecycle(cluster_manager_handle, delay_seconds=delay_seconds) + result = await cluster_manager_handle.result() + print( + f"Cluster shut down successfully." + f" It had {result.num_currently_assigned_nodes} nodes assigned at the end." + ) + + +if __name__ == "__main__": + logging.basicConfig(level=logging.INFO) + parser = argparse.ArgumentParser(description="Atomic message handlers") + parser.add_argument( + "--test-continue-as-new", + help="Make the ClusterManagerWorkflow continue as new before shutting down", + action="store_true", + default=False, + ) + args = parser.parse_args() + asyncio.run(main(args.test_continue_as_new)) diff --git a/updates_and_signals/safe_message_handlers/worker.py b/updates_and_signals/safe_message_handlers/worker.py new file mode 100644 index 00000000..5e28eca3 --- /dev/null +++ b/updates_and_signals/safe_message_handlers/worker.py @@ -0,0 +1,40 @@ +import asyncio +import logging + +from temporalio.client import Client +from temporalio.worker import Worker + +from updates_and_signals.safe_message_handlers.workflow import ( + ClusterManagerWorkflow, + assign_nodes_to_job, + find_bad_nodes, + unassign_nodes_for_job, +) + +interrupt_event = asyncio.Event() + + +async def main(): + # Connect client + client = await Client.connect("localhost:7233") + + async with Worker( + client, + task_queue="safe-message-handlers-task-queue", + workflows=[ClusterManagerWorkflow], + activities=[assign_nodes_to_job, unassign_nodes_for_job, find_bad_nodes], + ): + # Wait until interrupted + logging.info("ClusterManagerWorkflow worker started, ctrl+c to exit") + await interrupt_event.wait() + logging.info("Shutting down") + + +if __name__ == "__main__": + logging.basicConfig(level=logging.INFO) + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/updates_and_signals/safe_message_handlers/workflow.py b/updates_and_signals/safe_message_handlers/workflow.py new file mode 100644 index 00000000..b8230578 --- /dev/null +++ b/updates_and_signals/safe_message_handlers/workflow.py @@ -0,0 +1,256 @@ +import asyncio +import dataclasses +from dataclasses import dataclass +from datetime import timedelta +from typing import Dict, List, Optional, Set + +from temporalio import workflow +from temporalio.common import RetryPolicy +from temporalio.exceptions import ApplicationError + +from updates_and_signals.safe_message_handlers.activities import ( + AssignNodesToJobInput, + FindBadNodesInput, + UnassignNodesForJobInput, + assign_nodes_to_job, + find_bad_nodes, + unassign_nodes_for_job, +) + + +# In workflows that continue-as-new, it's convenient to store all your state in one serializable structure +# to make it easier to pass between runs +@dataclass +class ClusterManagerState: + cluster_started: bool = False + cluster_shutdown: bool = False + nodes: Dict[str, Optional[str]] = dataclasses.field(default_factory=dict) + jobs_assigned: Set[str] = dataclasses.field(default_factory=set) + + +@dataclass +class ClusterManagerInput: + state: Optional[ClusterManagerState] = None + test_continue_as_new: bool = False + + +@dataclass +class ClusterManagerResult: + num_currently_assigned_nodes: int + num_bad_nodes: int + + +# Be in the habit of storing message inputs and outputs in serializable structures. +# This makes it easier to add more over time in a backward-compatible way. +@dataclass +class ClusterManagerAssignNodesToJobInput: + # If larger or smaller than previous amounts, will resize the job. + total_num_nodes: int + job_name: str + + +@dataclass +class ClusterManagerDeleteJobInput: + job_name: str + + +@dataclass +class ClusterManagerAssignNodesToJobResult: + nodes_assigned: Set[str] + + +# ClusterManagerWorkflow keeps track of the assignments of a cluster of nodes. +# Via signals, the cluster can be started and shutdown. +# Via updates, clients can also assign jobs to nodes and delete jobs. +# These updates must run atomically. +@workflow.defn +class ClusterManagerWorkflow: + def __init__(self) -> None: + self.state = ClusterManagerState() + # Protects workflow state from interleaved access + self.nodes_lock = asyncio.Lock() + self.max_history_length: Optional[int] = None + self.sleep_interval_seconds: int = 600 + + @workflow.signal + async def start_cluster(self) -> None: + self.state.cluster_started = True + self.state.nodes = {str(k): None for k in range(25)} + workflow.logger.info("Cluster started") + + @workflow.signal + async def shutdown_cluster(self) -> None: + await workflow.wait_condition(lambda: self.state.cluster_started) + self.state.cluster_shutdown = True + workflow.logger.info("Cluster shut down") + + # This is an update as opposed to a signal because the client may want to wait for nodes to be allocated + # before sending work to those nodes. + # Returns the list of node names that were allocated to the job. + @workflow.update + async def assign_nodes_to_job( + self, input: ClusterManagerAssignNodesToJobInput + ) -> ClusterManagerAssignNodesToJobResult: + await workflow.wait_condition(lambda: self.state.cluster_started) + if self.state.cluster_shutdown: + # If you want the client to receive a failure, either add an update validator and throw the + # exception from there, or raise an ApplicationError. Other exceptions in the main handler + # will cause the workflow to keep retrying and get it stuck. + raise ApplicationError( + "Cannot assign nodes to a job: Cluster is already shut down" + ) + + async with self.nodes_lock: + # Idempotency guard. + if input.job_name in self.state.jobs_assigned: + return ClusterManagerAssignNodesToJobResult( + self.get_assigned_nodes(job_name=input.job_name) + ) + unassigned_nodes = self.get_unassigned_nodes() + if len(unassigned_nodes) < input.total_num_nodes: + # If you want the client to receive a failure, either add an update validator and throw the + # exception from there, or raise an ApplicationError. Other exceptions in the main handler + # will cause the workflow to keep retrying and get it stuck. + raise ApplicationError( + f"Cannot assign {input.total_num_nodes} nodes; have only {len(unassigned_nodes)} available" + ) + nodes_to_assign = unassigned_nodes[: input.total_num_nodes] + # This await would be dangerous without nodes_lock because it yields control and allows interleaving + # with delete_job and perform_health_checks, which both touch self.state.nodes. + await self._assign_nodes_to_job(nodes_to_assign, input.job_name) + return ClusterManagerAssignNodesToJobResult( + nodes_assigned=self.get_assigned_nodes(job_name=input.job_name) + ) + + async def _assign_nodes_to_job( + self, assigned_nodes: List[str], job_name: str + ) -> None: + await workflow.execute_activity( + assign_nodes_to_job, + AssignNodesToJobInput(nodes=assigned_nodes, job_name=job_name), + start_to_close_timeout=timedelta(seconds=10), + ) + for node in assigned_nodes: + self.state.nodes[node] = job_name + self.state.jobs_assigned.add(job_name) + + # Even though it returns nothing, this is an update because the client may want to track it, for example + # to wait for nodes to be unassignd before reassigning them. + @workflow.update + async def delete_job(self, input: ClusterManagerDeleteJobInput) -> None: + await workflow.wait_condition(lambda: self.state.cluster_started) + if self.state.cluster_shutdown: + # If you want the client to receive a failure, either add an update validator and throw the + # exception from there, or raise an ApplicationError. Other exceptions in the main handler + # will cause the workflow to keep retrying and get it stuck. + raise ApplicationError("Cannot delete a job: Cluster is already shut down") + + async with self.nodes_lock: + nodes_to_unassign = [ + k for k, v in self.state.nodes.items() if v == input.job_name + ] + # This await would be dangerous without nodes_lock because it yields control and allows interleaving + # with assign_nodes_to_job and perform_health_checks, which all touch self.state.nodes. + await self._unassign_nodes_for_job(nodes_to_unassign, input.job_name) + + async def _unassign_nodes_for_job( + self, nodes_to_unassign: List[str], job_name: str + ): + await workflow.execute_activity( + unassign_nodes_for_job, + UnassignNodesForJobInput(nodes=nodes_to_unassign, job_name=job_name), + start_to_close_timeout=timedelta(seconds=10), + ) + for node in nodes_to_unassign: + self.state.nodes[node] = None + + def get_unassigned_nodes(self) -> List[str]: + return [k for k, v in self.state.nodes.items() if v is None] + + def get_bad_nodes(self) -> Set[str]: + return set([k for k, v in self.state.nodes.items() if v == "BAD!"]) + + def get_assigned_nodes(self, *, job_name: Optional[str] = None) -> Set[str]: + if job_name: + return set([k for k, v in self.state.nodes.items() if v == job_name]) + else: + return set( + [ + k + for k, v in self.state.nodes.items() + if v is not None and v != "BAD!" + ] + ) + + async def perform_health_checks(self) -> None: + async with self.nodes_lock: + assigned_nodes = self.get_assigned_nodes() + try: + # This await would be dangerous without nodes_lock because it yields control and allows interleaving + # with assign_nodes_to_job and delete_job, which both touch self.state.nodes. + bad_nodes = await workflow.execute_activity( + find_bad_nodes, + FindBadNodesInput(nodes_to_check=assigned_nodes), + start_to_close_timeout=timedelta(seconds=10), + # This health check is optional, and our lock would block the whole workflow if we let it retry forever. + retry_policy=RetryPolicy(maximum_attempts=1), + ) + for node in bad_nodes: + self.state.nodes[node] = "BAD!" + except Exception as e: + workflow.logger.warn( + f"Health check failed with error {type(e).__name__}:{e}" + ) + + # The cluster manager is a long-running "entity" workflow so we need to periodically checkpoint its state and + # continue-as-new. + def init(self, input: ClusterManagerInput) -> None: + if input.state: + self.state = input.state + if input.test_continue_as_new: + self.max_history_length = 120 + self.sleep_interval_seconds = 1 + + def should_continue_as_new(self) -> bool: + # We don't want to continue-as-new if we're in the middle of an update + if self.nodes_lock.locked(): + return False + if workflow.info().is_continue_as_new_suggested(): + return True + # This is just for ease-of-testing. In production, we trust temporal to tell us when to continue as new. + if ( + self.max_history_length + and workflow.info().get_current_history_length() > self.max_history_length + ): + return True + return False + + @workflow.run + async def run(self, input: ClusterManagerInput) -> ClusterManagerResult: + self.init(input) + await workflow.wait_condition(lambda: self.state.cluster_started) + # Perform health checks at intervals. + while True: + await self.perform_health_checks() + try: + await workflow.wait_condition( + lambda: self.state.cluster_shutdown + or self.should_continue_as_new(), + timeout=timedelta(seconds=self.sleep_interval_seconds), + ) + except asyncio.TimeoutError: + pass + if self.state.cluster_shutdown: + break + if self.should_continue_as_new(): + workflow.logger.info("Continuing as new") + workflow.continue_as_new( + ClusterManagerInput( + state=self.state, + test_continue_as_new=input.test_continue_as_new, + ) + ) + return ClusterManagerResult( + len(self.get_assigned_nodes()), + len(self.get_bad_nodes()), + ) From a0b2cdf4b0eef905776fba9b1a2805357b8b473e Mon Sep 17 00:00:00 2001 From: Ci-Ci Thomson Date: Wed, 24 Jul 2024 13:14:21 -0400 Subject: [PATCH 57/84] Updates for temporal CLI over tctl and temporal dev-server (#131) --- encryption/README.md | 21 +++++++++------------ encryption/codec_server.py | 4 ++-- 2 files changed, 11 insertions(+), 14 deletions(-) diff --git a/encryption/README.md b/encryption/README.md index b3e1de43..6c8e9924 100644 --- a/encryption/README.md +++ b/encryption/README.md @@ -4,6 +4,7 @@ This sample shows how to make an encryption codec for end-to-end encryption. It samples [in TypeScript](https://github.com/temporalio/samples-typescript/tree/main/encryption) and [in Go](https://github.com/temporalio/samples-go/tree/main/encryption). + For this sample, the optional `encryption` dependency group must be included. To include, run: poetry install --with encryption @@ -17,38 +18,34 @@ This will start the worker. Then, in another terminal, run the following to exec poetry run python starter.py -The workflow should complete with the hello result. To view the workflow, use [tctl](https://docs.temporal.io/tctl-v1/): +The workflow should complete with the hello result. To view the workflow, use [temporal](https://docs.temporal.io/cli): - tctl workflow show --workflow_id encryption-workflow-id + temporal workflow show --workflow-id encryption-workflow-id -Note how the input/result look like (with wrapping removed): +Note how the result looks like (with wrapping removed): ``` - Input:[encoding binary/encrypted: payload encoding is not supported] - ... - Result:[encoding binary/encrypted: payload encoding is not supported] + Output:[encoding binary/encrypted: payload encoding is not supported] ``` -This is because the data is encrypted and not visible. To make data visible to external Temporal tools like `tctl` and +This is because the data is encrypted and not visible. To make data visible to external Temporal tools like `temporal` and the UI, start a codec server in another terminal: poetry run python codec_server.py -Now with that running, run `tctl` again with the codec endpoint: +Now with that running, run `temporal` again with the codec endpoint: - tctl --codec_endpoint http://localhost:8081 workflow show --workflow_id encryption-workflow-id + temporal workflow show --workflow-id encryption-workflow-id --codec-endpoint http://localhost:8081 Notice now the output has the unencrypted values: ``` - Input:["Temporal"] - ... Result:["Hello, Temporal"] ``` This decryption did not leave the local machine here. Same case with the web UI. If you go to the web UI, you'll only see encrypted input/results. But, assuming your web UI -is at `http://localhost:8080`, if you set the "Remote Codec Endpoint" in the web UI to `http://localhost:8081` you can +is at `http://localhost:8233` (this is the default for the local dev server), if you set the "Remote Codec Endpoint" in the web UI to `http://localhost:8081` you can then see the unencrypted results. This is possible because CORS settings in the codec server allow the browser to access the codec server directly over localhost. They can be changed to suit Temporal cloud web UI instead if necessary. \ No newline at end of file diff --git a/encryption/codec_server.py b/encryption/codec_server.py index 4bd04214..3e3029f2 100644 --- a/encryption/codec_server.py +++ b/encryption/codec_server.py @@ -12,8 +12,8 @@ def build_codec_server() -> web.Application: # Cors handler async def cors_options(req: web.Request) -> web.Response: resp = web.Response() - if req.headers.get(hdrs.ORIGIN) == "http://localhost:8080": - resp.headers[hdrs.ACCESS_CONTROL_ALLOW_ORIGIN] = "http://localhost:8080" + if req.headers.get(hdrs.ORIGIN) == "http://localhost:8233": + resp.headers[hdrs.ACCESS_CONTROL_ALLOW_ORIGIN] = "http://localhost:8233" resp.headers[hdrs.ACCESS_CONTROL_ALLOW_METHODS] = "POST" resp.headers[hdrs.ACCESS_CONTROL_ALLOW_HEADERS] = "content-type,x-namespace" return resp From ccf0945dc0bd86f4175e1a45e40dec25dc9685cc Mon Sep 17 00:00:00 2001 From: Dan Davison Date: Tue, 20 Aug 2024 19:09:31 -0400 Subject: [PATCH 58/84] Update to Python SDK 1.7.0 (#135) --- poetry.lock | 16 ++++++++-------- pyproject.toml | 2 +- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/poetry.lock b/poetry.lock index 5fa72054..96549796 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2317,17 +2317,17 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyam [[package]] name = "temporalio" -version = "1.6.0" +version = "1.7.0" description = "Temporal.io Python SDK" optional = false python-versions = "<4.0,>=3.8" files = [ - 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This pattern is known as "signal-with-start." -* Message handlers can block and their actions can be interleaved with one another and with the main workflow. This can easily cause bugs, so we use a lock to protect shared state from interleaved access. -* Message handlers should also finish before the workflow run completes. One option is to use a lock. -* An "Entity" workflow, i.e. a long-lived workflow, periodically "continues as new". It must do this to prevent its history from growing too large, and it passes its state to the next workflow. You can check `workflow.info().is_continue_as_new_suggested()` to see when it's time. Just make sure message handlers have finished before doing so. +* Message handlers can block and their actions can be interleaved with one another and with the main workflow. This can easily cause bugs, so you can use a lock to protect shared state from interleaved access. +* An "Entity" workflow, i.e. a long-lived workflow, periodically "continues as new". It must do this to prevent its history from growing too large, and it passes its state to the next workflow. You can check `workflow.info().is_continue_as_new_suggested()` to see when it's time. +* Most people want their message handlers to finish before the workflow run completes or continues as new. Use `await workflow.wait_condition(lambda: workflow.all_handlers_finished())` to achieve this. * Message handlers can be made idempotent. See update `ClusterManager.assign_nodes_to_job`. To run, first see [README.md](../../README.md) for prerequisites. diff --git a/updates_and_signals/safe_message_handlers/workflow.py b/updates_and_signals/safe_message_handlers/workflow.py index b8230578..5d441637 100644 --- a/updates_and_signals/safe_message_handlers/workflow.py +++ b/updates_and_signals/safe_message_handlers/workflow.py @@ -212,9 +212,6 @@ def init(self, input: ClusterManagerInput) -> None: self.sleep_interval_seconds = 1 def should_continue_as_new(self) -> bool: - # We don't want to continue-as-new if we're in the middle of an update - if self.nodes_lock.locked(): - return False if workflow.info().is_continue_as_new_suggested(): return True # This is just for ease-of-testing. In production, we trust temporal to tell us when to continue as new. @@ -243,6 +240,8 @@ async def run(self, input: ClusterManagerInput) -> ClusterManagerResult: if self.state.cluster_shutdown: break if self.should_continue_as_new(): + # We don't want to leave any job assignment or deletion handlers half-finished when we continue as new. + await workflow.wait_condition(lambda: workflow.all_handlers_finished()) workflow.logger.info("Continuing as new") workflow.continue_as_new( ClusterManagerInput( @@ -250,6 +249,8 @@ async def run(self, input: ClusterManagerInput) -> ClusterManagerResult: test_continue_as_new=input.test_continue_as_new, ) ) + # Make sure we finish off handlers such as deleting jobs before we complete the workflow. + await workflow.wait_condition(lambda: workflow.all_handlers_finished()) return ClusterManagerResult( len(self.get_assigned_nodes()), len(self.get_bad_nodes()), From 7e5aba80adc58ed885831b6789aa88a5840a14e5 Mon Sep 17 00:00:00 2001 From: Dan Davison Date: Mon, 16 Sep 2024 09:24:47 -0400 Subject: [PATCH 60/84] Dump junit XMLs from tests (#141) --- .github/workflows/ci.yml | 13 ++++++++++--- 1 file changed, 10 insertions(+), 3 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 160c67db..c32f9da1 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -41,8 +41,9 @@ jobs: - run: python -m pip install --upgrade wheel "poetry==1.4.0" poethepoet - run: poetry install --with pydantic --with dsl --with encryption - run: poe lint - - run: poe test -s -o log_cli_level=DEBUG - - run: poe test -s -o log_cli_level=DEBUG --workflow-environment time-skipping + - run: mkdir junit-xml + - run: poe test -s -o log_cli_level=DEBUG --junit-xml=junit-xml/${{ matrix.python }}--${{ matrix.os }}.xml + - run: poe test -s -o log_cli_level=DEBUG --workflow-environment time-skipping --junit-xml=junit-xml/${{ matrix.python }}--${{ matrix.os }}--time-skipping.xml # On latest, run gevent test - name: Gevent test @@ -51,4 +52,10 @@ jobs: poetry install --with gevent poetry run python gevent_async/test/run_combined.py - + - name: Upload junit-xml artifacts + uses: actions/upload-artifact@v4 + if: always() + with: + name: junit-xml--${{github.run_id}}--${{github.run_attempt}}--${{ matrix.python }}--${{ matrix.os }} + path: junit-xml + retention-days: 14 From 8903768561da0e09d465a99881d5ee426ec1918b Mon Sep 17 00:00:00 2001 From: Dan Davison Date: Mon, 16 Sep 2024 13:41:17 -0400 Subject: [PATCH 61/84] Samples for message passing docs (#133) * Message passing introduction sample (used in docs) --- README.md | 3 +- .../__init__.py | 0 message_passing/introduction/README.md | 18 +++ message_passing/introduction/__init__.py | 13 ++ message_passing/introduction/activities.py | 25 ++++ message_passing/introduction/starter.py | 52 ++++++++ message_passing/introduction/worker.py | 36 +++++ message_passing/introduction/workflows.py | 115 ++++++++++++++++ .../safe_message_handlers/README.md | 0 .../safe_message_handlers/__init__.py | 0 .../safe_message_handlers/activities.py | 0 .../safe_message_handlers/starter.py | 2 +- .../safe_message_handlers/worker.py | 4 +- .../safe_message_handlers/workflow.py | 2 +- .../introduction/test_introduction_sample.py | 123 ++++++++++++++++++ .../safe_message_handlers/workflow_test.py | 4 +- 16 files changed, 389 insertions(+), 8 deletions(-) rename {updates_and_signals => message_passing}/__init__.py (100%) create mode 100644 message_passing/introduction/README.md create mode 100644 message_passing/introduction/__init__.py create mode 100644 message_passing/introduction/activities.py create mode 100644 message_passing/introduction/starter.py create mode 100644 message_passing/introduction/worker.py create mode 100644 message_passing/introduction/workflows.py rename {updates_and_signals => message_passing}/safe_message_handlers/README.md (100%) rename {updates_and_signals => message_passing}/safe_message_handlers/__init__.py (100%) rename {updates_and_signals => message_passing}/safe_message_handlers/activities.py (100%) rename {updates_and_signals => message_passing}/safe_message_handlers/starter.py (97%) rename {updates_and_signals => message_passing}/safe_message_handlers/worker.py (89%) rename {updates_and_signals => message_passing}/safe_message_handlers/workflow.py (99%) create mode 100644 tests/message_passing/introduction/test_introduction_sample.py rename tests/{updates_and_signals => message_passing}/safe_message_handlers/workflow_test.py (97%) diff --git a/README.md b/README.md index cdf88c6f..5cffefce 100644 --- a/README.md +++ b/README.md @@ -62,12 +62,13 @@ Some examples require extra dependencies. See each sample's directory for specif * [encryption](encryption) - Apply end-to-end encryption for all input/output. * [gevent_async](gevent_async) - Combine gevent and Temporal. * [langchain](langchain) - Orchestrate workflows for LangChain. +* [message-passing introduction](message_passing/introduction/) - Introduction to queries, signals, and updates. * [open_telemetry](open_telemetry) - Trace workflows with OpenTelemetry. * [patching](patching) - Alter workflows safely with `patch` and `deprecate_patch`. * [polling](polling) - Recommended implementation of an activity that needs to periodically poll an external resource waiting its successful completion. * [prometheus](prometheus) - Configure Prometheus metrics on clients/workers. * [pydantic_converter](pydantic_converter) - Data converter for using Pydantic models. -* [safe_message_handlers](updates_and_signals/safe_message_handlers/) - Safely handling updates and signals. +* [safe_message_handlers](message_passing/safe_message_handlers/) - Safely handling updates and signals. * [schedules](schedules) - Demonstrates a Workflow Execution that occurs according to a schedule. * [sentry](sentry) - Report errors to Sentry. * [worker_specific_task_queues](worker_specific_task_queues) - Use unique task queues to ensure activities run on specific workers. diff --git a/updates_and_signals/__init__.py b/message_passing/__init__.py similarity index 100% rename from updates_and_signals/__init__.py rename to message_passing/__init__.py diff --git a/message_passing/introduction/README.md b/message_passing/introduction/README.md new file mode 100644 index 00000000..0b8be53b --- /dev/null +++ b/message_passing/introduction/README.md @@ -0,0 +1,18 @@ +# Introduction to message-passing + +This sample provides an introduction to using Query, Signal, and Update. + +See https://docs.temporal.io/develop/python/message-passing. + +To run, first see the main [README.md](../../README.md) for prerequisites. + +Then create two terminals and `cd` to this directory. + +Run the worker in one terminal: + + poetry run python worker.py + +And execute the workflow in the other terminal: + + poetry run python starter.py + diff --git a/message_passing/introduction/__init__.py b/message_passing/introduction/__init__.py new file mode 100644 index 00000000..79d4a7b1 --- /dev/null +++ b/message_passing/introduction/__init__.py @@ -0,0 +1,13 @@ +from enum import IntEnum + +TASK_QUEUE = "message-passing-introduction-task-queue" + + +class Language(IntEnum): + ARABIC = 1 + CHINESE = 2 + ENGLISH = 3 + FRENCH = 4 + HINDI = 5 + PORTUGUESE = 6 + SPANISH = 7 diff --git a/message_passing/introduction/activities.py b/message_passing/introduction/activities.py new file mode 100644 index 00000000..29af3987 --- /dev/null +++ b/message_passing/introduction/activities.py @@ -0,0 +1,25 @@ +import asyncio +from typing import Optional + +from temporalio import activity + +from message_passing.introduction import Language + + +@activity.defn +async def call_greeting_service(to_language: Language) -> Optional[str]: + """ + An Activity that simulates a call to a remote greeting service. + The remote greeting service supports the full range of languages. + """ + greetings = { + Language.ARABIC: "مرحبا بالعالم", + Language.CHINESE: "你好，世界", + Language.ENGLISH: "Hello, world", + Language.FRENCH: "Bonjour, monde", + Language.HINDI: "नमस्ते दुनिया", + Language.PORTUGUESE: "Olá mundo", + Language.SPANISH: "¡Hola mundo", + } + await asyncio.sleep(0.2) # Simulate a network call + return greetings.get(to_language) diff --git a/message_passing/introduction/starter.py b/message_passing/introduction/starter.py new file mode 100644 index 00000000..13a48c3a --- /dev/null +++ b/message_passing/introduction/starter.py @@ -0,0 +1,52 @@ +import asyncio +from typing import Optional + +from temporalio.client import Client, WorkflowUpdateStage + +from message_passing.introduction import TASK_QUEUE +from message_passing.introduction.workflows import ( + ApproveInput, + GetLanguagesInput, + GreetingWorkflow, + Language, +) + + +async def main(client: Optional[Client] = None): + client = client or await Client.connect("localhost:7233") + wf_handle = await client.start_workflow( + GreetingWorkflow.run, + id="greeting-workflow-1234", + task_queue=TASK_QUEUE, + ) + + # 👉 Send a Query + supported_languages = await wf_handle.query( + GreetingWorkflow.get_languages, GetLanguagesInput(include_unsupported=False) + ) + print(f"supported languages: {supported_languages}") + + # 👉 Execute an Update + previous_language = await wf_handle.execute_update( + GreetingWorkflow.set_language, Language.CHINESE + ) + current_language = await wf_handle.query(GreetingWorkflow.get_language) + print(f"language changed: {previous_language.name} -> {current_language.name}") + + # 👉 Start an Update and then wait for it to complete + update_handle = await wf_handle.start_update( + GreetingWorkflow.set_language_using_activity, + Language.ARABIC, + wait_for_stage=WorkflowUpdateStage.ACCEPTED, + ) + previous_language = await update_handle.result() + current_language = await wf_handle.query(GreetingWorkflow.get_language) + print(f"language changed: {previous_language.name} -> {current_language.name}") + + # 👉 Send a Signal + await wf_handle.signal(GreetingWorkflow.approve, ApproveInput(name="")) + print(await wf_handle.result()) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/message_passing/introduction/worker.py b/message_passing/introduction/worker.py new file mode 100644 index 00000000..25f4121f --- /dev/null +++ b/message_passing/introduction/worker.py @@ -0,0 +1,36 @@ +import asyncio +import logging + +from temporalio.client import Client +from temporalio.worker import Worker + +from message_passing.introduction import TASK_QUEUE +from message_passing.introduction.activities import call_greeting_service +from message_passing.introduction.workflows import GreetingWorkflow + +interrupt_event = asyncio.Event() + + +async def main(): + logging.basicConfig(level=logging.INFO) + + client = await Client.connect("localhost:7233") + + async with Worker( + client, + task_queue=TASK_QUEUE, + workflows=[GreetingWorkflow], + activities=[call_greeting_service], + ): + logging.info("Worker started, ctrl+c to exit") + await interrupt_event.wait() + logging.info("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/message_passing/introduction/workflows.py b/message_passing/introduction/workflows.py new file mode 100644 index 00000000..b3cd8de7 --- /dev/null +++ b/message_passing/introduction/workflows.py @@ -0,0 +1,115 @@ +import asyncio +from dataclasses import dataclass +from datetime import timedelta +from typing import List, Optional + +from temporalio import workflow +from temporalio.exceptions import ApplicationError + +with workflow.unsafe.imports_passed_through(): + from message_passing.introduction import Language + from message_passing.introduction.activities import call_greeting_service + + +@dataclass +class GetLanguagesInput: + include_unsupported: bool + + +@dataclass +class ApproveInput: + name: str + + +@workflow.defn +class GreetingWorkflow: + """ + A workflow that that returns a greeting in one of two languages. + + It supports a Query to obtain the current language, an Update to change the + current language and receive the previous language in response, and a Signal + to approve the Workflow so that it is allowed to return its result. + """ + + # 👉 This Workflow does not use any async handlers and so cannot use any + # Activities. It only supports two languages, whose greetings are hardcoded + # in the Workflow definition. See GreetingWorkflowWithAsyncHandler below for + # a Workflow that uses an async Update handler to call an Activity. + + def __init__(self) -> None: + self.approved_for_release = False + self.approver_name: Optional[str] = None + self.greetings = { + Language.CHINESE: "你好，世界", + Language.ENGLISH: "Hello, world", + } + self.language = Language.ENGLISH + self.lock = asyncio.Lock() # used by the async handler below + + @workflow.run + async def run(self) -> str: + # 👉 In addition to waiting for the `approve` Signal, we also wait for + # all handlers to finish. Otherwise, the Workflow might return its + # result while an async set_language_using_activity Update is in + # progress. + await workflow.wait_condition( + lambda: self.approved_for_release and workflow.all_handlers_finished() + ) + return self.greetings[self.language] + + @workflow.query + def get_languages(self, input: GetLanguagesInput) -> List[Language]: + # 👉 A Query handler returns a value: it can inspect but must not mutate the Workflow state. + if input.include_unsupported: + return sorted(Language) + else: + return sorted(self.greetings) + + @workflow.signal + def approve(self, input: ApproveInput) -> None: + # 👉 A Signal handler mutates the Workflow state but cannot return a value. + self.approved_for_release = True + self.approver_name = input.name + + @workflow.update + def set_language(self, language: Language) -> Language: + # 👉 An Update handler can mutate the Workflow state and return a value. + previous_language, self.language = self.language, language + return previous_language + + @set_language.validator + def validate_language(self, language: Language) -> None: + if language not in self.greetings: + # 👉 In an Update validator you raise any exception to reject the Update. + raise ValueError(f"{language.name} is not supported") + + @workflow.update + async def set_language_using_activity(self, language: Language) -> Language: + # 👉 This update handler is async, so it can execute an activity. + if language not in self.greetings: + # 👉 We use a lock so that, if this handler is executed multiple + # times, each execution can schedule the activity only when the + # previously scheduled activity has completed. This ensures that + # multiple calls to set_language are processed in order. + async with self.lock: + greeting = await workflow.execute_activity( + call_greeting_service, + language, + start_to_close_timeout=timedelta(seconds=10), + ) + if greeting is None: + # 👉 An update validator cannot be async, so cannot be used + # to check that the remote call_greeting_service supports + # the requested language. Raising ApplicationError will fail + # the Update, but the WorkflowExecutionUpdateAccepted event + # will still be added to history. + raise ApplicationError( + f"Greeting service does not support {language.name}" + ) + self.greetings[language] = greeting + previous_language, self.language = self.language, language + return previous_language + + @workflow.query + def get_language(self) -> Language: + return self.language diff --git a/updates_and_signals/safe_message_handlers/README.md b/message_passing/safe_message_handlers/README.md similarity index 100% rename from updates_and_signals/safe_message_handlers/README.md rename to message_passing/safe_message_handlers/README.md diff --git a/updates_and_signals/safe_message_handlers/__init__.py b/message_passing/safe_message_handlers/__init__.py similarity index 100% rename from updates_and_signals/safe_message_handlers/__init__.py rename to message_passing/safe_message_handlers/__init__.py diff --git a/updates_and_signals/safe_message_handlers/activities.py b/message_passing/safe_message_handlers/activities.py similarity index 100% rename from updates_and_signals/safe_message_handlers/activities.py rename to message_passing/safe_message_handlers/activities.py diff --git a/updates_and_signals/safe_message_handlers/starter.py b/message_passing/safe_message_handlers/starter.py similarity index 97% rename from updates_and_signals/safe_message_handlers/starter.py rename to message_passing/safe_message_handlers/starter.py index adb56a66..cf712163 100644 --- a/updates_and_signals/safe_message_handlers/starter.py +++ b/message_passing/safe_message_handlers/starter.py @@ -7,7 +7,7 @@ from temporalio import common from temporalio.client import Client, WorkflowHandle -from updates_and_signals.safe_message_handlers.workflow import ( +from message_passing.safe_message_handlers.workflow import ( ClusterManagerAssignNodesToJobInput, ClusterManagerDeleteJobInput, ClusterManagerInput, diff --git a/updates_and_signals/safe_message_handlers/worker.py b/message_passing/safe_message_handlers/worker.py similarity index 89% rename from updates_and_signals/safe_message_handlers/worker.py rename to message_passing/safe_message_handlers/worker.py index 5e28eca3..a900c7bb 100644 --- a/updates_and_signals/safe_message_handlers/worker.py +++ b/message_passing/safe_message_handlers/worker.py @@ -4,7 +4,7 @@ from temporalio.client import Client from temporalio.worker import Worker -from updates_and_signals.safe_message_handlers.workflow import ( +from message_passing.safe_message_handlers.workflow import ( ClusterManagerWorkflow, assign_nodes_to_job, find_bad_nodes, @@ -15,7 +15,6 @@ async def main(): - # Connect client client = await Client.connect("localhost:7233") async with Worker( @@ -24,7 +23,6 @@ async def main(): workflows=[ClusterManagerWorkflow], activities=[assign_nodes_to_job, unassign_nodes_for_job, find_bad_nodes], ): - # Wait until interrupted logging.info("ClusterManagerWorkflow worker started, ctrl+c to exit") await interrupt_event.wait() logging.info("Shutting down") diff --git a/updates_and_signals/safe_message_handlers/workflow.py b/message_passing/safe_message_handlers/workflow.py similarity index 99% rename from updates_and_signals/safe_message_handlers/workflow.py rename to message_passing/safe_message_handlers/workflow.py index 5d441637..338a3065 100644 --- a/updates_and_signals/safe_message_handlers/workflow.py +++ b/message_passing/safe_message_handlers/workflow.py @@ -8,7 +8,7 @@ from temporalio.common import RetryPolicy from temporalio.exceptions import ApplicationError -from updates_and_signals.safe_message_handlers.activities import ( +from message_passing.safe_message_handlers.activities import ( AssignNodesToJobInput, FindBadNodesInput, UnassignNodesForJobInput, diff --git a/tests/message_passing/introduction/test_introduction_sample.py b/tests/message_passing/introduction/test_introduction_sample.py new file mode 100644 index 00000000..de981dc2 --- /dev/null +++ b/tests/message_passing/introduction/test_introduction_sample.py @@ -0,0 +1,123 @@ +import uuid + +import pytest +from temporalio.client import Client, WorkflowUpdateFailedError +from temporalio.testing import WorkflowEnvironment +from temporalio.worker import Worker + +from message_passing.introduction.starter import TASK_QUEUE +from message_passing.introduction.workflows import ( + GetLanguagesInput, + GreetingWorkflow, + Language, + call_greeting_service, +) + + +async def test_queries(client: Client, env: WorkflowEnvironment): + if env.supports_time_skipping: + pytest.skip( + "Java test server: https://github.com/temporalio/sdk-java/issues/1903" + ) + async with Worker( + client, + task_queue=TASK_QUEUE, + workflows=[GreetingWorkflow], + ): + wf_handle = await client.start_workflow( + GreetingWorkflow.run, + id=str(uuid.uuid4()), + task_queue=TASK_QUEUE, + ) + assert await wf_handle.query(GreetingWorkflow.get_language) == Language.ENGLISH + assert await wf_handle.query( + GreetingWorkflow.get_languages, GetLanguagesInput(include_unsupported=False) + ) == [Language.CHINESE, Language.ENGLISH] + assert await wf_handle.query( + GreetingWorkflow.get_languages, GetLanguagesInput(include_unsupported=True) + ) == [ + Language.ARABIC, + Language.CHINESE, + Language.ENGLISH, + Language.FRENCH, + Language.HINDI, + Language.PORTUGUESE, + Language.SPANISH, + ] + + +async def test_set_language(client: Client, env: WorkflowEnvironment): + if env.supports_time_skipping: + pytest.skip( + "Java test server: https://github.com/temporalio/sdk-java/issues/1903" + ) + async with Worker( + client, + task_queue=TASK_QUEUE, + workflows=[GreetingWorkflow], + ): + wf_handle = await client.start_workflow( + GreetingWorkflow.run, + id=str(uuid.uuid4()), + task_queue=TASK_QUEUE, + ) + assert await wf_handle.query(GreetingWorkflow.get_language) == Language.ENGLISH + previous_language = await wf_handle.execute_update( + GreetingWorkflow.set_language, Language.CHINESE + ) + assert previous_language == Language.ENGLISH + assert await wf_handle.query(GreetingWorkflow.get_language) == Language.CHINESE + + +async def test_set_invalid_language(client: Client, env: WorkflowEnvironment): + if env.supports_time_skipping: + pytest.skip( + "Java test server: https://github.com/temporalio/sdk-java/issues/1903" + ) + async with Worker( + client, + task_queue=TASK_QUEUE, + workflows=[GreetingWorkflow], + ): + wf_handle = await client.start_workflow( + GreetingWorkflow.run, + id=str(uuid.uuid4()), + task_queue=TASK_QUEUE, + ) + assert await wf_handle.query(GreetingWorkflow.get_language) == Language.ENGLISH + + with pytest.raises(WorkflowUpdateFailedError): + await wf_handle.execute_update( + GreetingWorkflow.set_language, Language.ARABIC + ) + + +async def test_set_language_that_is_only_available_via_remote_service( + client: Client, env: WorkflowEnvironment +): + """ + Similar to test_set_invalid_language, but this time Arabic is available + since we use the remote service. + """ + if env.supports_time_skipping: + pytest.skip( + "Java test server: https://github.com/temporalio/sdk-java/issues/1903" + ) + async with Worker( + client, + task_queue=TASK_QUEUE, + workflows=[GreetingWorkflow], + activities=[call_greeting_service], + ): + wf_handle = await client.start_workflow( + GreetingWorkflow.run, + id=str(uuid.uuid4()), + task_queue=TASK_QUEUE, + ) + assert await wf_handle.query(GreetingWorkflow.get_language) == Language.ENGLISH + previous_language = await wf_handle.execute_update( + GreetingWorkflow.set_language_using_activity, + Language.ARABIC, + ) + assert previous_language == Language.ENGLISH + assert await wf_handle.query(GreetingWorkflow.get_language) == Language.ARABIC diff --git a/tests/updates_and_signals/safe_message_handlers/workflow_test.py b/tests/message_passing/safe_message_handlers/workflow_test.py similarity index 97% rename from tests/updates_and_signals/safe_message_handlers/workflow_test.py rename to tests/message_passing/safe_message_handlers/workflow_test.py index 852419ef..92345be7 100644 --- a/tests/updates_and_signals/safe_message_handlers/workflow_test.py +++ b/tests/message_passing/safe_message_handlers/workflow_test.py @@ -7,12 +7,12 @@ from temporalio.testing import WorkflowEnvironment from temporalio.worker import Worker -from updates_and_signals.safe_message_handlers.activities import ( +from message_passing.safe_message_handlers.activities import ( assign_nodes_to_job, find_bad_nodes, unassign_nodes_for_job, ) -from updates_and_signals.safe_message_handlers.workflow import ( +from message_passing.safe_message_handlers.workflow import ( ClusterManagerAssignNodesToJobInput, ClusterManagerDeleteJobInput, ClusterManagerInput, From 171b5e5b205167fdff4231978857c4efe1cd6225 Mon Sep 17 00:00:00 2001 From: Dan Davison Date: Tue, 15 Oct 2024 14:44:33 +0100 Subject: [PATCH 62/84] Improve/fix comments explaining message passing introduction sample (#148) --- message_passing/introduction/workflows.py | 34 +++++++++++++---------- 1 file changed, 19 insertions(+), 15 deletions(-) diff --git a/message_passing/introduction/workflows.py b/message_passing/introduction/workflows.py index b3cd8de7..97d2b874 100644 --- a/message_passing/introduction/workflows.py +++ b/message_passing/introduction/workflows.py @@ -24,18 +24,20 @@ class ApproveInput: @workflow.defn class GreetingWorkflow: """ - A workflow that that returns a greeting in one of two languages. - - It supports a Query to obtain the current language, an Update to change the - current language and receive the previous language in response, and a Signal - to approve the Workflow so that it is allowed to return its result. + A workflow that that returns a greeting in one of multiple supported + languages. + + It exposes a query to obtain the current language, a signal to approve the + workflow so that it is allowed to return its result, and two updates for + changing the current language and receiving the previous language in + response. + + One of the update handlers is not an `async def`, so it can only mutate and + return local workflow state; the other update handler is `async def` and + executes an activity which calls a remote service, giving access to language + translations which are not available in local workflow state. """ - # 👉 This Workflow does not use any async handlers and so cannot use any - # Activities. It only supports two languages, whose greetings are hardcoded - # in the Workflow definition. See GreetingWorkflowWithAsyncHandler below for - # a Workflow that uses an async Update handler to call an Activity. - def __init__(self) -> None: self.approved_for_release = False self.approver_name: Optional[str] = None @@ -97,12 +99,14 @@ async def set_language_using_activity(self, language: Language) -> Language: language, start_to_close_timeout=timedelta(seconds=10), ) + # 👉 The requested language might not be supported by the remote + # service. If so, we raise ApplicationError, which will fail the + # Update. The WorkflowExecutionUpdateAccepted event will still + # be added to history. (Update validators can be used to reject + # updates before any event is written to history, but they + # cannot be async, and so we cannot use an update validator for + # this purpose.) if greeting is None: - # 👉 An update validator cannot be async, so cannot be used - # to check that the remote call_greeting_service supports - # the requested language. Raising ApplicationError will fail - # the Update, but the WorkflowExecutionUpdateAccepted event - # will still be added to history. raise ApplicationError( f"Greeting service does not support {language.name}" ) From 5f5191562d9b539b6b9fe2cf7eb0704e594b9c6e Mon Sep 17 00:00:00 2001 From: Dan Davison Date: Fri, 25 Oct 2024 19:53:38 +0100 Subject: [PATCH 63/84] Remove typo exclamation mark (#149) --- message_passing/introduction/activities.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/message_passing/introduction/activities.py b/message_passing/introduction/activities.py index 29af3987..7f2c9c56 100644 --- a/message_passing/introduction/activities.py +++ b/message_passing/introduction/activities.py @@ -19,7 +19,7 @@ async def call_greeting_service(to_language: Language) -> Optional[str]: Language.FRENCH: "Bonjour, monde", Language.HINDI: "नमस्ते दुनिया", Language.PORTUGUESE: "Olá mundo", - Language.SPANISH: "¡Hola mundo", + Language.SPANISH: "Hola mundo", } await asyncio.sleep(0.2) # Simulate a network call return greetings.get(to_language) From 58305c0fdf3f78e26ad21f14ada9da38547188b0 Mon Sep 17 00:00:00 2001 From: Drew Hoskins <166441821+drewhoskins-temporal@users.noreply.github.com> Date: Wed, 20 Nov 2024 17:05:47 -0800 Subject: [PATCH 64/84] Enable Hello Update test (#151) --- tests/hello/hello_update_test.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/tests/hello/hello_update_test.py b/tests/hello/hello_update_test.py index 2a079387..f7664ecb 100644 --- a/tests/hello/hello_update_test.py +++ b/tests/hello/hello_update_test.py @@ -9,10 +9,6 @@ async def test_update_workflow(client: Client, env: WorkflowEnvironment): - if env.supports_time_skipping: - pytest.skip( - "Time-skipping test server currently has issue with update: https://github.com/temporalio/sdk-java/issues/1903" - ) task_queue_name = str(uuid.uuid4()) async with Worker(client, task_queue=task_queue_name, workflows=[GreetingWorkflow]): handle = await client.start_workflow( From 0763309a16d4c59377e74b99b805aaf5705d1587 Mon Sep 17 00:00:00 2001 From: Dan Davison Date: Mon, 25 Nov 2024 21:08:18 -0500 Subject: [PATCH 65/84] Fix polling sample 2 (#152) * Fix infrequent polling sample --- .github/workflows/ci.yml | 2 +- polling/frequent/activities.py | 15 ++------- polling/infrequent/activities.py | 13 ++------ polling/periodic_sequence/activities.py | 10 ++---- polling/periodic_sequence/workflows.py | 6 ++-- polling/test_service.py | 37 ++++++++++++++--------- tests/polling/infrequent/__init__.py | 0 tests/polling/infrequent/workflow_test.py | 31 +++++++++++++++++++ 8 files changed, 64 insertions(+), 50 deletions(-) create mode 100644 tests/polling/infrequent/__init__.py create mode 100644 tests/polling/infrequent/workflow_test.py diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index c32f9da1..8bcb6c9e 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -16,7 +16,7 @@ jobs: os: [ubuntu-latest, macos-intel, macos-arm, windows-latest] include: - os: macos-intel - runsOn: macos-12 + runsOn: macos-13 - os: macos-arm runsOn: macos-14 # macOS ARM 3.8 does not have an available Python build at diff --git a/polling/frequent/activities.py b/polling/frequent/activities.py index 2b49e379..a112b417 100644 --- a/polling/frequent/activities.py +++ b/polling/frequent/activities.py @@ -1,28 +1,19 @@ import asyncio -import time -from dataclasses import dataclass from temporalio import activity -from polling.test_service import TestService - - -@dataclass -class ComposeGreetingInput: - greeting: str - name: str +from polling.test_service import ComposeGreetingInput, get_service_result @activity.defn async def compose_greeting(input: ComposeGreetingInput) -> str: - test_service = TestService() while True: try: try: - result = await test_service.get_service_result(input) + result = await get_service_result(input) activity.logger.info(f"Exiting activity ${result}") return result - except Exception as e: + except Exception: # swallow exception since service is down activity.logger.debug("Failed, trying again shortly", exc_info=True) diff --git a/polling/infrequent/activities.py b/polling/infrequent/activities.py index 2bd71587..b3db1aed 100644 --- a/polling/infrequent/activities.py +++ b/polling/infrequent/activities.py @@ -1,19 +1,10 @@ -from dataclasses import dataclass - from temporalio import activity -from polling.test_service import TestService - - -@dataclass -class ComposeGreetingInput: - greeting: str - name: str +from polling.test_service import ComposeGreetingInput, get_service_result @activity.defn async def compose_greeting(input: ComposeGreetingInput) -> str: - test_service = TestService() # If this raises an exception because it's not done yet, the activity will # continually be scheduled for retry - return await test_service.get_service_result(input) + return await get_service_result(input) diff --git a/polling/periodic_sequence/activities.py b/polling/periodic_sequence/activities.py index 1a1196c6..87b69890 100644 --- a/polling/periodic_sequence/activities.py +++ b/polling/periodic_sequence/activities.py @@ -1,14 +1,8 @@ -from dataclasses import dataclass +from typing import Any, NoReturn from temporalio import activity -@dataclass -class ComposeGreetingInput: - greeting: str - name: str - - @activity.defn -async def compose_greeting(input: ComposeGreetingInput) -> str: +async def compose_greeting(input: Any) -> NoReturn: raise RuntimeError("Service is down") diff --git a/polling/periodic_sequence/workflows.py b/polling/periodic_sequence/workflows.py index d38d41ce..917170c1 100644 --- a/polling/periodic_sequence/workflows.py +++ b/polling/periodic_sequence/workflows.py @@ -6,10 +6,8 @@ from temporalio.exceptions import ActivityError with workflow.unsafe.imports_passed_through(): - from polling.periodic_sequence.activities import ( - ComposeGreetingInput, - compose_greeting, - ) + from polling.periodic_sequence.activities import compose_greeting + from polling.test_service import ComposeGreetingInput @workflow.defn diff --git a/polling/test_service.py b/polling/test_service.py index 3744998a..490f8476 100644 --- a/polling/test_service.py +++ b/polling/test_service.py @@ -1,14 +1,23 @@ -class TestService: - def __init__(self): - self.try_attempts = 0 - self.error_attempts = 5 - - async def get_service_result(self, input): - print( - f"Attempt {self.try_attempts}" - f" of {self.error_attempts} to invoke service" - ) - self.try_attempts += 1 - if self.try_attempts % self.error_attempts == 0: - return f"{input.greeting}, {input.name}!" - raise Exception("service is down") +from dataclasses import dataclass +from typing import Counter + +from temporalio import activity + +attempts = Counter[str]() +ERROR_ATTEMPTS = 5 + + +@dataclass +class ComposeGreetingInput: + greeting: str + name: str + + +async def get_service_result(input): + workflow_id = activity.info().workflow_id + attempts[workflow_id] += 1 + + print(f"Attempt {attempts[workflow_id]} of {ERROR_ATTEMPTS} to invoke service") + if attempts[workflow_id] == ERROR_ATTEMPTS: + return f"{input.greeting}, {input.name}!" + raise Exception("service is down") diff --git a/tests/polling/infrequent/__init__.py b/tests/polling/infrequent/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/polling/infrequent/workflow_test.py b/tests/polling/infrequent/workflow_test.py new file mode 100644 index 00000000..31f3f987 --- /dev/null +++ b/tests/polling/infrequent/workflow_test.py @@ -0,0 +1,31 @@ +import uuid + +import pytest +from temporalio.client import Client +from temporalio.testing import WorkflowEnvironment +from temporalio.worker import Worker + +from polling.infrequent.activities import compose_greeting +from polling.infrequent.workflows import GreetingWorkflow + + +async def test_infrequent_polling_workflow(client: Client, env: WorkflowEnvironment): + if not env.supports_time_skipping: + pytest.skip("Too slow to test with time-skipping disabled") + + # Start a worker that hosts the workflow and activity implementations. + task_queue = f"tq-{uuid.uuid4()}" + async with Worker( + client, + task_queue=task_queue, + workflows=[GreetingWorkflow], + activities=[compose_greeting], + ): + handle = await client.start_workflow( + GreetingWorkflow.run, + "Temporal", + id=f"infrequent-polling-{uuid.uuid4()}", + task_queue=task_queue, + ) + result = await handle.result() + assert result == "Hello, Temporal!" From 3f687e4fcbe71d7f8163d32c1fcdad3ad844b1b5 Mon Sep 17 00:00:00 2001 From: Vasilii Frolov Date: Tue, 10 Dec 2024 18:17:12 +0300 Subject: [PATCH 66/84] fix: violation of the DRY principle (#154) --- hello/hello_activity_choice.py | 39 ++++++++++------------------------ 1 file changed, 11 insertions(+), 28 deletions(-) diff --git a/hello/hello_activity_choice.py b/hello/hello_activity_choice.py index 56b7b7e6..2d9d9486 100644 --- a/hello/hello_activity_choice.py +++ b/hello/hello_activity_choice.py @@ -59,39 +59,22 @@ async def run(self, list: ShoppingList) -> str: ordered: List[str] = [] for item in list.items: if item.fruit is Fruit.APPLE: - ordered.append( - await workflow.execute_activity( - order_apples, - item.amount, - start_to_close_timeout=timedelta(seconds=5), - ) - ) + order_function = order_apples elif item.fruit is Fruit.BANANA: - ordered.append( - await workflow.execute_activity( - order_bananas, - item.amount, - start_to_close_timeout=timedelta(seconds=5), - ) - ) + order_function = order_bananas elif item.fruit is Fruit.CHERRY: - ordered.append( - await workflow.execute_activity( - order_cherries, - item.amount, - start_to_close_timeout=timedelta(seconds=5), - ) - ) + order_function = order_cherries elif item.fruit is Fruit.ORANGE: - ordered.append( - await workflow.execute_activity( - order_oranges, - item.amount, - start_to_close_timeout=timedelta(seconds=5), - ) - ) + order_function = order_oranges else: raise ValueError(f"Unrecognized fruit: {item.fruit}") + ordered.append( + await workflow.execute_activity( + order_function, + item.amount, + start_to_close_timeout=timedelta(seconds=5), + ) + ) return "".join(ordered) From c03ad4553dead99b83d15db71009c4dff4b115dd Mon Sep 17 00:00:00 2001 From: Dan Davison Date: Tue, 10 Dec 2024 10:32:39 -0500 Subject: [PATCH 67/84] sdk-python 1.8.0 (#147) --- poetry.lock | 2723 +++++++++++++++++++++++++++--------------------- pyproject.toml | 2 +- 2 files changed, 1560 insertions(+), 1165 deletions(-) diff 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--git a/pyproject.toml b/pyproject.toml index eecb7428..e91908d9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,7 +17,7 @@ packages = [ [tool.poetry.dependencies] python = "^3.8" -temporalio = "^1.7.0" +temporalio = "^1.8.0" [tool.poetry.dev-dependencies] black = "^22.3.0" From 9ba977bb8fc9ef429e5bc6825bffd8641001447a Mon Sep 17 00:00:00 2001 From: Dan Davison Date: Tue, 10 Dec 2024 10:45:20 -0500 Subject: [PATCH 68/84] Cluster manager: use update to wait for cluster to start (#153) * Use workflow.init, refactor * Start cluster automatically; use update to wait until started * Don't require node IDs to parse as ints --- .../safe_message_handlers/README.md | 1 - .../safe_message_handlers/activities.py | 12 +++- .../safe_message_handlers/starter.py | 6 +- .../safe_message_handlers/worker.py | 8 ++- .../safe_message_handlers/workflow.py | 72 ++++++++++--------- .../safe_message_handlers/workflow_test.py | 27 +++++-- 6 files changed, 83 insertions(+), 43 deletions(-) diff --git a/message_passing/safe_message_handlers/README.md b/message_passing/safe_message_handlers/README.md index 7d727af3..274d9cdc 100644 --- a/message_passing/safe_message_handlers/README.md +++ b/message_passing/safe_message_handlers/README.md @@ -3,7 +3,6 @@ This sample shows off important techniques for handling signals and updates, aka messages. In particular, it illustrates how message handlers can interleave or not be completed before the workflow completes, and how you can manage that. * Here, using workflow.wait_condition, signal and update handlers will only operate when the workflow is within a certain state--between cluster_started and cluster_shutdown. -* You can run start_workflow with an initializer signal that you want to run before anything else other than the workflow's constructor. This pattern is known as "signal-with-start." * Message handlers can block and their actions can be interleaved with one another and with the main workflow. This can easily cause bugs, so you can use a lock to protect shared state from interleaved access. * An "Entity" workflow, i.e. a long-lived workflow, periodically "continues as new". It must do this to prevent its history from growing too large, and it passes its state to the next workflow. You can check `workflow.info().is_continue_as_new_suggested()` to see when it's time. * Most people want their message handlers to finish before the workflow run completes or continues as new. Use `await workflow.wait_condition(lambda: workflow.all_handlers_finished())` to achieve this. diff --git a/message_passing/safe_message_handlers/activities.py b/message_passing/safe_message_handlers/activities.py index 3a1c9cd2..da8a8be0 100644 --- a/message_passing/safe_message_handlers/activities.py +++ b/message_passing/safe_message_handlers/activities.py @@ -11,6 +11,16 @@ class AssignNodesToJobInput: job_name: str +@dataclass +class ClusterState: + node_ids: List[str] + + +@activity.defn +async def start_cluster() -> ClusterState: + return ClusterState(node_ids=[f"node-{i}" for i in range(25)]) + + @activity.defn async def assign_nodes_to_job(input: AssignNodesToJobInput) -> None: print(f"Assigning nodes {input.nodes} to job {input.job_name}") @@ -37,7 +47,7 @@ class FindBadNodesInput: @activity.defn async def find_bad_nodes(input: FindBadNodesInput) -> Set[str]: await asyncio.sleep(0.1) - bad_nodes = set([n for n in input.nodes_to_check if int(n) % 5 == 0]) + bad_nodes = set([id for id in input.nodes_to_check if hash(id) % 5 == 0]) if bad_nodes: print(f"Found bad nodes: {bad_nodes}") else: diff --git a/message_passing/safe_message_handlers/starter.py b/message_passing/safe_message_handlers/starter.py index cf712163..7ffe13d9 100644 --- a/message_passing/safe_message_handlers/starter.py +++ b/message_passing/safe_message_handlers/starter.py @@ -16,8 +16,10 @@ async def do_cluster_lifecycle(wf: WorkflowHandle, delay_seconds: Optional[int] = None): - - await wf.signal(ClusterManagerWorkflow.start_cluster) + cluster_status = await wf.execute_update( + ClusterManagerWorkflow.wait_until_cluster_started + ) + print(f"Cluster started with {len(cluster_status.nodes)} nodes") print("Assigning jobs to nodes...") allocation_updates = [] diff --git a/message_passing/safe_message_handlers/worker.py b/message_passing/safe_message_handlers/worker.py index a900c7bb..34e71290 100644 --- a/message_passing/safe_message_handlers/worker.py +++ b/message_passing/safe_message_handlers/worker.py @@ -8,6 +8,7 @@ ClusterManagerWorkflow, assign_nodes_to_job, find_bad_nodes, + start_cluster, unassign_nodes_for_job, ) @@ -21,7 +22,12 @@ async def main(): client, task_queue="safe-message-handlers-task-queue", workflows=[ClusterManagerWorkflow], - activities=[assign_nodes_to_job, unassign_nodes_for_job, find_bad_nodes], + activities=[ + assign_nodes_to_job, + unassign_nodes_for_job, + find_bad_nodes, + start_cluster, + ], ): logging.info("ClusterManagerWorkflow worker started, ctrl+c to exit") await interrupt_event.wait() diff --git a/message_passing/safe_message_handlers/workflow.py b/message_passing/safe_message_handlers/workflow.py index 338a3065..ca549a61 100644 --- a/message_passing/safe_message_handlers/workflow.py +++ b/message_passing/safe_message_handlers/workflow.py @@ -14,6 +14,7 @@ UnassignNodesForJobInput, assign_nodes_to_job, find_bad_nodes, + start_cluster, unassign_nodes_for_job, ) @@ -65,18 +66,27 @@ class ClusterManagerAssignNodesToJobResult: # These updates must run atomically. @workflow.defn class ClusterManagerWorkflow: - def __init__(self) -> None: - self.state = ClusterManagerState() + @workflow.init + def __init__(self, input: ClusterManagerInput) -> None: + if input.state: + self.state = input.state + else: + self.state = ClusterManagerState() + + if input.test_continue_as_new: + self.max_history_length: Optional[int] = 120 + self.sleep_interval_seconds = 1 + else: + self.max_history_length = None + self.sleep_interval_seconds = 600 + # Protects workflow state from interleaved access self.nodes_lock = asyncio.Lock() - self.max_history_length: Optional[int] = None - self.sleep_interval_seconds: int = 600 - @workflow.signal - async def start_cluster(self) -> None: - self.state.cluster_started = True - self.state.nodes = {str(k): None for k in range(25)} - workflow.logger.info("Cluster started") + @workflow.update + async def wait_until_cluster_started(self) -> ClusterManagerState: + await workflow.wait_condition(lambda: self.state.cluster_started) + return self.state @workflow.signal async def shutdown_cluster(self) -> None: @@ -135,7 +145,7 @@ async def _assign_nodes_to_job( self.state.jobs_assigned.add(job_name) # Even though it returns nothing, this is an update because the client may want to track it, for example - # to wait for nodes to be unassignd before reassigning them. + # to wait for nodes to be unassigned before reassigning them. @workflow.update async def delete_job(self, input: ClusterManagerDeleteJobInput) -> None: await workflow.wait_condition(lambda: self.state.cluster_started) @@ -202,30 +212,15 @@ async def perform_health_checks(self) -> None: f"Health check failed with error {type(e).__name__}:{e}" ) - # The cluster manager is a long-running "entity" workflow so we need to periodically checkpoint its state and - # continue-as-new. - def init(self, input: ClusterManagerInput) -> None: - if input.state: - self.state = input.state - if input.test_continue_as_new: - self.max_history_length = 120 - self.sleep_interval_seconds = 1 - - def should_continue_as_new(self) -> bool: - if workflow.info().is_continue_as_new_suggested(): - return True - # This is just for ease-of-testing. In production, we trust temporal to tell us when to continue as new. - if ( - self.max_history_length - and workflow.info().get_current_history_length() > self.max_history_length - ): - return True - return False - @workflow.run async def run(self, input: ClusterManagerInput) -> ClusterManagerResult: - self.init(input) - await workflow.wait_condition(lambda: self.state.cluster_started) + cluster_state = await workflow.execute_activity( + start_cluster, schedule_to_close_timeout=timedelta(seconds=10) + ) + self.state.nodes = {k: None for k in cluster_state.node_ids} + self.state.cluster_started = True + workflow.logger.info("Cluster started") + # Perform health checks at intervals. while True: await self.perform_health_checks() @@ -239,6 +234,8 @@ async def run(self, input: ClusterManagerInput) -> ClusterManagerResult: pass if self.state.cluster_shutdown: break + # The cluster manager is a long-running "entity" workflow so we need to periodically checkpoint its state and + # continue-as-new. if self.should_continue_as_new(): # We don't want to leave any job assignment or deletion handlers half-finished when we continue as new. await workflow.wait_condition(lambda: workflow.all_handlers_finished()) @@ -255,3 +252,14 @@ async def run(self, input: ClusterManagerInput) -> ClusterManagerResult: len(self.get_assigned_nodes()), len(self.get_bad_nodes()), ) + + def should_continue_as_new(self) -> bool: + if workflow.info().is_continue_as_new_suggested(): + return True + # This is just for ease-of-testing. In production, we trust temporal to tell us when to continue as new. + if ( + self.max_history_length + and workflow.info().get_current_history_length() > self.max_history_length + ): + return True + return False diff --git a/tests/message_passing/safe_message_handlers/workflow_test.py b/tests/message_passing/safe_message_handlers/workflow_test.py index 92345be7..8cd303d5 100644 --- a/tests/message_passing/safe_message_handlers/workflow_test.py +++ b/tests/message_passing/safe_message_handlers/workflow_test.py @@ -1,5 +1,6 @@ import asyncio import uuid +from typing import Callable, Sequence import pytest from temporalio.client import Client, WorkflowUpdateFailedError @@ -10,6 +11,7 @@ from message_passing.safe_message_handlers.activities import ( assign_nodes_to_job, find_bad_nodes, + start_cluster, unassign_nodes_for_job, ) from message_passing.safe_message_handlers.workflow import ( @@ -19,6 +21,13 @@ ClusterManagerWorkflow, ) +ACTIVITIES: Sequence[Callable] = [ + assign_nodes_to_job, + unassign_nodes_for_job, + find_bad_nodes, + start_cluster, +] + async def test_safe_message_handlers(client: Client, env: WorkflowEnvironment): if env.supports_time_skipping: @@ -30,7 +39,7 @@ async def test_safe_message_handlers(client: Client, env: WorkflowEnvironment): client, task_queue=task_queue, workflows=[ClusterManagerWorkflow], - activities=[assign_nodes_to_job, unassign_nodes_for_job, find_bad_nodes], + activities=ACTIVITIES, ): cluster_manager_handle = await client.start_workflow( ClusterManagerWorkflow.run, @@ -38,7 +47,9 @@ async def test_safe_message_handlers(client: Client, env: WorkflowEnvironment): id=f"ClusterManagerWorkflow-{uuid.uuid4()}", task_queue=task_queue, ) - await cluster_manager_handle.signal(ClusterManagerWorkflow.start_cluster) + await cluster_manager_handle.execute_update( + ClusterManagerWorkflow.wait_until_cluster_started + ) allocation_updates = [] for i in range(6): @@ -82,7 +93,7 @@ async def test_update_idempotency(client: Client, env: WorkflowEnvironment): client, task_queue=task_queue, workflows=[ClusterManagerWorkflow], - activities=[assign_nodes_to_job, unassign_nodes_for_job, find_bad_nodes], + activities=ACTIVITIES, ): cluster_manager_handle = await client.start_workflow( ClusterManagerWorkflow.run, @@ -91,7 +102,9 @@ async def test_update_idempotency(client: Client, env: WorkflowEnvironment): task_queue=task_queue, ) - await cluster_manager_handle.signal(ClusterManagerWorkflow.start_cluster) + await cluster_manager_handle.execute_update( + ClusterManagerWorkflow.wait_until_cluster_started + ) result_1 = await cluster_manager_handle.execute_update( ClusterManagerWorkflow.assign_nodes_to_job, @@ -121,7 +134,7 @@ async def test_update_failure(client: Client, env: WorkflowEnvironment): client, task_queue=task_queue, workflows=[ClusterManagerWorkflow], - activities=[assign_nodes_to_job, unassign_nodes_for_job, find_bad_nodes], + activities=ACTIVITIES, ): cluster_manager_handle = await client.start_workflow( ClusterManagerWorkflow.run, @@ -130,7 +143,9 @@ async def test_update_failure(client: Client, env: WorkflowEnvironment): task_queue=task_queue, ) - await cluster_manager_handle.signal(ClusterManagerWorkflow.start_cluster) + await cluster_manager_handle.execute_update( + ClusterManagerWorkflow.wait_until_cluster_started + ) await cluster_manager_handle.execute_update( ClusterManagerWorkflow.assign_nodes_to_job, From de73a0a8c6f913ab1ffe3ed19624f794d1adacea Mon Sep 17 00:00:00 2001 From: Dan Davison Date: Thu, 16 Jan 2025 00:43:27 +0000 Subject: [PATCH 69/84] Bump python 1.8.0 => 1.9.0 (#158) --- poetry.lock | 16 ++++++++-------- pyproject.toml | 2 +- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/poetry.lock b/poetry.lock index dc76b893..03ce9f96 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2682,17 +2682,17 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyam [[package]] name = "temporalio" -version = "1.8.0" +version = "1.9.0" description = "Temporal.io Python SDK" optional = false python-versions = "<4.0,>=3.8" files = [ - 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See each sample's directory for specif * [encryption](encryption) - Apply end-to-end encryption for all input/output. * [gevent_async](gevent_async) - Combine gevent and Temporal. * [langchain](langchain) - Orchestrate workflows for LangChain. -* [message-passing introduction](message_passing/introduction/) - Introduction to queries, signals, and updates. +* [message_passing/introduction](message_passing/introduction/) - Introduction to queries, signals, and updates. +* [message_passing/safe_message_handlers](message_passing/safe_message_handlers/) - Safely handling updates and signals. +* [message_passing/update_with_start/lazy_initialization](message_passing/update_with_start/lazy_initialization/) - Use update-with-start to update a Shopping Cart, starting it if it does not exist. * [open_telemetry](open_telemetry) - Trace workflows with OpenTelemetry. * [patching](patching) - Alter workflows safely with `patch` and `deprecate_patch`. * [polling](polling) - Recommended implementation of an activity that needs to periodically poll an external resource waiting its successful completion. * [prometheus](prometheus) - Configure Prometheus metrics on clients/workers. * [pydantic_converter](pydantic_converter) - Data converter for using Pydantic models. -* [safe_message_handlers](message_passing/safe_message_handlers/) - Safely handling updates and signals. * [schedules](schedules) - Demonstrates a Workflow Execution that occurs according to a schedule. * [sentry](sentry) - Report errors to Sentry. * [worker_specific_task_queues](worker_specific_task_queues) - Use unique task queues to ensure activities run on specific workers. diff --git a/message_passing/update_with_start/lazy_initialization/README.md b/message_passing/update_with_start/lazy_initialization/README.md new file mode 100644 index 00000000..b9f6679a --- /dev/null +++ b/message_passing/update_with_start/lazy_initialization/README.md @@ -0,0 +1,18 @@ +# Update With Start: Lazy init + +This sample illustrates the use of update-with-start to send Updates to a Workflow, starting the Workflow if +it is not running yet ("lazy init"). The Workflow represents a Shopping Cart in an e-commerce application, and +update-with-start is used to add items to the cart, receiving back the updated cart subtotal. + +To run, first see the main [README.md](../../../README.md) for prerequisites. + +Then run the following from this directory: + + poetry run python worker.py + +Then, in another terminal: + + poetry run python starter.py + +This will start a worker to run your workflow and activities, then simulate a backend application receiving +requests to add items to a shopping cart, before finalizing the order. diff --git a/message_passing/update_with_start/lazy_initialization/__init__.py b/message_passing/update_with_start/lazy_initialization/__init__.py new file mode 100644 index 00000000..ac3632ee --- /dev/null +++ b/message_passing/update_with_start/lazy_initialization/__init__.py @@ -0,0 +1 @@ +TASK_QUEUE = "update-with-start-lazy-initialization" diff --git a/message_passing/update_with_start/lazy_initialization/activities.py b/message_passing/update_with_start/lazy_initialization/activities.py new file mode 100644 index 00000000..fa730e47 --- /dev/null +++ b/message_passing/update_with_start/lazy_initialization/activities.py @@ -0,0 +1,20 @@ +import asyncio +from dataclasses import dataclass +from typing import Optional + +from temporalio import activity + + +@dataclass +class ShoppingCartItem: + sku: str + quantity: int + + +@activity.defn +async def get_price(item: ShoppingCartItem) -> Optional[int]: + await asyncio.sleep(0.1) + price = None if item.sku == "sku-456" else 599 + if price is None: + return None + return price * item.quantity diff --git a/message_passing/update_with_start/lazy_initialization/starter.py b/message_passing/update_with_start/lazy_initialization/starter.py new file mode 100644 index 00000000..b3274f9d --- /dev/null +++ b/message_passing/update_with_start/lazy_initialization/starter.py @@ -0,0 +1,78 @@ +import asyncio +import uuid +from typing import Optional, Tuple + +from temporalio import common +from temporalio.client import ( + Client, + WithStartWorkflowOperation, + WorkflowHandle, + WorkflowUpdateFailedError, +) +from temporalio.exceptions import ApplicationError + +from message_passing.update_with_start.lazy_initialization import TASK_QUEUE +from message_passing.update_with_start.lazy_initialization.workflows import ( + ShoppingCartItem, + ShoppingCartWorkflow, +) + + +async def handle_add_item_request( + session_id: str, item_id: str, quantity: int, temporal_client: Client +) -> Tuple[Optional[int], WorkflowHandle]: + """ + Handle a client request to add an item to the shopping cart. The user is not logged in, but a session ID is + available from a cookie, and we use this as the cart ID. The Temporal client was created at service-start + time and is shared by all request handlers. + + A Workflow Type exists that can be used to represent a shopping cart. The method uses update-with-start to + add an item to the shopping cart, creating the cart if it doesn't already exist. + + Note that the workflow handle is available, even if the Update fails. + """ + cart_id = f"cart-{session_id}" + start_op = WithStartWorkflowOperation( + ShoppingCartWorkflow.run, + id=cart_id, + id_conflict_policy=common.WorkflowIDConflictPolicy.USE_EXISTING, + task_queue=TASK_QUEUE, + ) + try: + price = await temporal_client.execute_update_with_start_workflow( + ShoppingCartWorkflow.add_item, + ShoppingCartItem(sku=item_id, quantity=quantity), + start_workflow_operation=start_op, + ) + except WorkflowUpdateFailedError as err: + if ( + isinstance(err.cause, ApplicationError) + and err.cause.type == "ItemUnavailableError" + ): + price = None + else: + raise err + + workflow_handle = await start_op.workflow_handle() + + return price, workflow_handle + + +async def main(): + print("🛒") + session_id = f"session-{uuid.uuid4()}" + temporal_client = await Client.connect("localhost:7233") + subtotal_1, _ = await handle_add_item_request( + session_id, "sku-123", 1, temporal_client + ) + subtotal_2, wf_handle = await handle_add_item_request( + session_id, "sku-456", 1, temporal_client + ) + print(f"subtotals were, {[subtotal_1, subtotal_2]}") + await wf_handle.signal(ShoppingCartWorkflow.checkout) + final_order = await wf_handle.result() + print(f"final order: {final_order}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/message_passing/update_with_start/lazy_initialization/worker.py b/message_passing/update_with_start/lazy_initialization/worker.py new file mode 100644 index 00000000..1964b43e --- /dev/null +++ b/message_passing/update_with_start/lazy_initialization/worker.py @@ -0,0 +1,35 @@ +import asyncio +import logging + +from temporalio.client import Client +from temporalio.worker import Worker + +from message_passing.update_with_start.lazy_initialization import TASK_QUEUE, workflows +from message_passing.update_with_start.lazy_initialization.activities import get_price + +interrupt_event = asyncio.Event() + + +async def main(): + logging.basicConfig(level=logging.INFO) + + client = await Client.connect("localhost:7233") + + async with Worker( + client, + task_queue=TASK_QUEUE, + workflows=[workflows.ShoppingCartWorkflow], + activities=[get_price], + ): + logging.info("Worker started, ctrl+c to exit") + await interrupt_event.wait() + logging.info("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/message_passing/update_with_start/lazy_initialization/workflows.py b/message_passing/update_with_start/lazy_initialization/workflows.py new file mode 100644 index 00000000..49964ff2 --- /dev/null +++ b/message_passing/update_with_start/lazy_initialization/workflows.py @@ -0,0 +1,60 @@ +from dataclasses import dataclass +from datetime import timedelta +from typing import List, Tuple + +from temporalio import workflow +from temporalio.exceptions import ApplicationError + +with workflow.unsafe.imports_passed_through(): + from message_passing.update_with_start.lazy_initialization.activities import ( + ShoppingCartItem, + get_price, + ) + + +@dataclass +class FinalizedOrder: + id: str + items: List[Tuple[ShoppingCartItem, int]] + total: int + + +@workflow.defn +class ShoppingCartWorkflow: + def __init__(self): + self.items: List[Tuple[ShoppingCartItem, int]] = [] + self.order_submitted = False + + @workflow.run + async def run(self) -> FinalizedOrder: + await workflow.wait_condition( + lambda: workflow.all_handlers_finished() and self.order_submitted + ) + return FinalizedOrder( + id=workflow.info().workflow_id, + items=self.items, + total=sum(price for _, price in self.items), + ) + + @workflow.update + async def add_item(self, item: ShoppingCartItem) -> int: + price = await workflow.execute_activity( + get_price, item, start_to_close_timeout=timedelta(seconds=10) + ) + if price is None: + raise ApplicationError( + f"Item unavailable: {item}", + type="ItemUnavailableError", + ) + self.items.append((item, price)) + + return sum(price for _, price in self.items) + + @add_item.validator + def validate_add_item(self, item: ShoppingCartItem) -> None: + if self.order_submitted: + raise ApplicationError("Order already submitted") + + @workflow.signal + def checkout(self): + self.order_submitted = True diff --git a/tests/conftest.py b/tests/conftest.py index 95294fb4..e63a059b 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -41,7 +41,12 @@ def event_loop(): async def env(request) -> AsyncGenerator[WorkflowEnvironment, None]: env_type = request.config.getoption("--workflow-environment") if env_type == "local": - env = await WorkflowEnvironment.start_local() + env = await WorkflowEnvironment.start_local( + dev_server_extra_args=[ + "--dynamic-config-value", + "frontend.enableExecuteMultiOperation=true", + ] + ) elif env_type == "time-skipping": env = await WorkflowEnvironment.start_time_skipping() else: diff --git a/tests/message_passing/lazy_initialization/test_lazy_initialization.py b/tests/message_passing/lazy_initialization/test_lazy_initialization.py new file mode 100644 index 00000000..dcf94582 --- /dev/null +++ b/tests/message_passing/lazy_initialization/test_lazy_initialization.py @@ -0,0 +1,60 @@ +import pytest +from temporalio import common +from temporalio.client import Client, WithStartWorkflowOperation +from temporalio.testing import WorkflowEnvironment +from temporalio.worker import Worker + +from message_passing.update_with_start.lazy_initialization.workflows import ( + ShoppingCartItem, + ShoppingCartWorkflow, + get_price, +) + + +async def test_shopping_cart_workflow(client: Client, env: WorkflowEnvironment): + if env.supports_time_skipping: + pytest.skip( + "Java test server: https://github.com/temporalio/sdk-java/issues/1903" + ) + async with Worker( + client, + task_queue="lazy-initialization-test", + workflows=[ShoppingCartWorkflow], + activities=[get_price], + ): + cart_id = "cart--session-1234" + make_start_op = lambda: WithStartWorkflowOperation( + ShoppingCartWorkflow.run, + id=cart_id, + id_conflict_policy=common.WorkflowIDConflictPolicy.USE_EXISTING, + task_queue="lazy-initialization-test", + ) + start_op_1 = make_start_op() + price = await client.execute_update_with_start_workflow( + ShoppingCartWorkflow.add_item, + ShoppingCartItem(sku="item-1", quantity=2), + start_workflow_operation=start_op_1, + ) + + assert price == 1198 + + workflow_handle = await start_op_1.workflow_handle() + + start_op_2 = make_start_op() + price = await client.execute_update_with_start_workflow( + ShoppingCartWorkflow.add_item, + ShoppingCartItem(sku="item-2", quantity=1), + start_workflow_operation=start_op_2, + ) + assert price == 1797 + + workflow_handle = await start_op_2.workflow_handle() + + await workflow_handle.signal(ShoppingCartWorkflow.checkout) + + finalized_order = await workflow_handle.result() + assert finalized_order.items == [ + (ShoppingCartItem(sku="item-1", quantity=2), 1198), + (ShoppingCartItem(sku="item-2", quantity=1), 599), + ] + assert finalized_order.total == 1797 From 8179fdc68d4cee052b5fb424dbb5fa3cf6b36151 Mon Sep 17 00:00:00 2001 From: Dan Davison Date: Thu, 23 Jan 2025 21:35:36 +0000 Subject: [PATCH 71/84] Switch to Aspire UI and OTEL collector (#159) Fixes #134 --- open_telemetry/README.md | 31 +++++++++--------- open_telemetry/aspire-metrics-screenshot.png | Bin 0 -> 456480 bytes open_telemetry/aspire-traces-screenshot.png | Bin 0 -> 443774 bytes open_telemetry/docker-compose.yaml | 8 +++++ open_telemetry/jaeger-screenshot.png | Bin 20937 -> 0 bytes .../otel-metrics-collector-config.yaml | 15 --------- open_telemetry/worker.py | 1 - 7 files changed, 23 insertions(+), 32 deletions(-) create mode 100644 open_telemetry/aspire-metrics-screenshot.png create mode 100644 open_telemetry/aspire-traces-screenshot.png create mode 100644 open_telemetry/docker-compose.yaml delete mode 100644 open_telemetry/jaeger-screenshot.png delete mode 100644 open_telemetry/otel-metrics-collector-config.yaml diff --git a/open_telemetry/README.md b/open_telemetry/README.md index e742b3dd..c0b18a17 100644 --- a/open_telemetry/README.md +++ b/open_telemetry/README.md @@ -6,33 +6,32 @@ For this sample, the optional `open_telemetry` dependency group must be included poetry install --with open_telemetry -To run, first see [README.md](../README.md) for prerequisites. Then run the following to start a Jaeger container -with OTLP collector enabled to collect and view the trace results: +To run, first see [README.md](../README.md) for prerequisites. Then run the following to start an [Aspire](https://hub.docker.com/r/microsoft/dotnet-aspire-dashboard/) OTEL collector - docker run -d --name jaeger \ - -e COLLECTOR_OTLP_ENABLED=true \ - -p 16686:16686 \ - -p 4317:4317 \ - -p 4318:4318 \ - jaegertracing/all-in-one:latest + docker compose up Now, from this directory, start the worker in its own terminal: poetry run python worker.py -This will start the worker. Then, in another terminal, run the following to execute the workflow: +Then, in another terminal, run the following to execute the workflow: poetry run python starter.py -The workflow should complete with the hello result. The workflow trace can now be viewed in Jaeger at -http://localhost:16686/. Under service, select `my-service` and "Find Traces". The workflow should appear and when -clicked, may look something like: +The workflow should complete with the hello result. -![Jaeger Screenshot](jaeger-screenshot.png) +Now view the Aspire UI at http://localhost:18888/. + +To view metrics sent describing the worker and the workflow that was executed, select `Metrics` on the left and under "Select a resource" select "temporal-core-sdk". It may look like this: + +![Aspire metrics screenshot](aspire-metrics-screenshot.png) + + +To view workflow spans, select `Traces` on the left and under "Select a resource" select "temporal-core-sdk". It may look like this: + +![Aspire traces screenshot](aspire-traces-screenshot.png) Note, in-workflow spans do not have a time associated with them. This is by intention since due to replay. In OpenTelemetry, only the process that started the span may end it. But in Temporal a span may cross workers/processes. Therefore we intentionally start-then-end in-workflow spans immediately. 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.../worker.py | 46 +++++ .../workflows.py | 176 ++++++++++++++++++ pydantic_converter/converter.py | 8 +- .../waiting_for_handlers_test.py | 80 ++++++++ ...ting_for_handlers_and_compensation_test.py | 106 +++++++++++ 15 files changed, 836 insertions(+), 3 deletions(-) create mode 100644 message_passing/waiting_for_handlers/README.md create mode 100644 message_passing/waiting_for_handlers/__init__.py create mode 100644 message_passing/waiting_for_handlers/activities.py create mode 100644 message_passing/waiting_for_handlers/starter.py create mode 100644 message_passing/waiting_for_handlers/worker.py create mode 100644 message_passing/waiting_for_handlers/workflows.py create mode 100644 message_passing/waiting_for_handlers_and_compensation/README.md create mode 100644 message_passing/waiting_for_handlers_and_compensation/__init__.py create mode 100644 message_passing/waiting_for_handlers_and_compensation/activities.py create mode 100644 message_passing/waiting_for_handlers_and_compensation/starter.py create mode 100644 message_passing/waiting_for_handlers_and_compensation/worker.py create mode 100644 message_passing/waiting_for_handlers_and_compensation/workflows.py create mode 100644 tests/message_passing/waiting_for_handlers/waiting_for_handlers_test.py create mode 100644 tests/message_passing/waiting_for_handlers_and_compensation/waiting_for_handlers_and_compensation_test.py diff --git a/message_passing/waiting_for_handlers/README.md b/message_passing/waiting_for_handlers/README.md new file mode 100644 index 00000000..27fa5d7d --- /dev/null +++ b/message_passing/waiting_for_handlers/README.md @@ -0,0 +1,41 @@ +# Waiting for message handlers + +This workflow demonstrates how to wait for signal and update handlers to +finish in the following circumstances: + +- Before a successful return +- On failure +- On cancellation + +Your workflow can also exit via Continue-As-New. In that case you would +usually wait for the handlers to finish immediately before the call to +continue_as_new(); that's not illustrated in this sample. + + +To run, open two terminals and `cd` to this directory in them. + +Run the worker in one terminal: + + poetry run python worker.py + +And run the workflow-starter code in the other terminal: + + poetry run python starter.py + + +Here's the output you'll see: + +``` +workflow exit type: SUCCESS + 🟢 caller received update result + 🟢 caller received workflow result + + +workflow exit type: FAILURE + 🟢 caller received update result + 🔴 caught exception while waiting for workflow result: Workflow execution failed: deliberately failing workflow + + +workflow exit type: CANCELLATION + 🟢 caller received update result +``` \ No newline at end of file diff --git a/message_passing/waiting_for_handlers/__init__.py b/message_passing/waiting_for_handlers/__init__.py new file mode 100644 index 00000000..1274f9bf --- /dev/null +++ b/message_passing/waiting_for_handlers/__init__.py @@ -0,0 +1,21 @@ +from dataclasses import dataclass +from enum import IntEnum + +TASK_QUEUE = "my-task-queue" +WORKFLOW_ID = "my-workflow-id" + + +class WorkflowExitType(IntEnum): + SUCCESS = 0 + FAILURE = 1 + CANCELLATION = 2 + + +@dataclass +class WorkflowInput: + exit_type: WorkflowExitType + + +@dataclass +class WorkflowResult: + data: str diff --git a/message_passing/waiting_for_handlers/activities.py b/message_passing/waiting_for_handlers/activities.py new file mode 100644 index 00000000..610db849 --- /dev/null +++ b/message_passing/waiting_for_handlers/activities.py @@ -0,0 +1,8 @@ +import asyncio + +from temporalio import activity + + +@activity.defn +async def activity_executed_by_update_handler(): + await asyncio.sleep(1) diff --git a/message_passing/waiting_for_handlers/starter.py b/message_passing/waiting_for_handlers/starter.py new file mode 100644 index 00000000..908095c5 --- /dev/null +++ b/message_passing/waiting_for_handlers/starter.py @@ -0,0 +1,69 @@ +import asyncio + +from temporalio import client, common + +from message_passing.waiting_for_handlers import ( + TASK_QUEUE, + WORKFLOW_ID, + WorkflowExitType, + WorkflowInput, +) +from message_passing.waiting_for_handlers.workflows import WaitingForHandlersWorkflow + + +async def starter(exit_type: WorkflowExitType): + cl = await client.Client.connect("localhost:7233") + wf_handle = await cl.start_workflow( + WaitingForHandlersWorkflow.run, + WorkflowInput(exit_type=exit_type), + id=WORKFLOW_ID, + task_queue=TASK_QUEUE, + id_conflict_policy=common.WorkflowIDConflictPolicy.TERMINATE_EXISTING, + ) + await _check_run(wf_handle, exit_type) + + +async def _check_run( + wf_handle: client.WorkflowHandle, + exit_type: WorkflowExitType, +): + try: + up_handle = await wf_handle.start_update( + WaitingForHandlersWorkflow.my_update, + wait_for_stage=client.WorkflowUpdateStage.ACCEPTED, + ) + except Exception as e: + print(f" 🔴 caught exception while starting update: {e}: {e.__cause__ or ''}") + + if exit_type == WorkflowExitType.CANCELLATION: + await wf_handle.cancel() + + try: + await up_handle.result() + print(" 🟢 caller received update result") + except Exception as e: + print( + f" 🔴 caught exception while waiting for update result: {e}: {e.__cause__ or ''}" + ) + + try: + await wf_handle.result() + print(" 🟢 caller received workflow result") + except BaseException as e: + print( + f" 🔴 caught exception while waiting for workflow result: {e}: {e.__cause__ or ''}" + ) + + +async def main(): + for exit_type in [ + WorkflowExitType.SUCCESS, + WorkflowExitType.FAILURE, + WorkflowExitType.CANCELLATION, + ]: + print(f"\n\nworkflow exit type: {exit_type.name}") + await starter(exit_type) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/message_passing/waiting_for_handlers/worker.py b/message_passing/waiting_for_handlers/worker.py new file mode 100644 index 00000000..9eea60a3 --- /dev/null +++ b/message_passing/waiting_for_handlers/worker.py @@ -0,0 +1,40 @@ +import asyncio +import logging + +from temporalio.client import Client +from temporalio.worker import Worker + +from message_passing.waiting_for_handlers import TASK_QUEUE +from message_passing.waiting_for_handlers.activities import ( + activity_executed_by_update_handler, +) +from message_passing.waiting_for_handlers.workflows import WaitingForHandlersWorkflow + +interrupt_event = asyncio.Event() + + +async def main(): + logging.basicConfig(level=logging.INFO) + + client = await Client.connect("localhost:7233") + + async with Worker( + client, + task_queue=TASK_QUEUE, + workflows=[WaitingForHandlersWorkflow], + activities=[ + activity_executed_by_update_handler, + ], + ): + logging.info("Worker started, ctrl+c to exit") + await interrupt_event.wait() + logging.info("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/message_passing/waiting_for_handlers/workflows.py b/message_passing/waiting_for_handlers/workflows.py new file mode 100644 index 00000000..b4ed2991 --- /dev/null +++ b/message_passing/waiting_for_handlers/workflows.py @@ -0,0 +1,95 @@ +import asyncio +from datetime import timedelta + +from temporalio import exceptions, workflow + +from message_passing.waiting_for_handlers import ( + WorkflowExitType, + WorkflowInput, + WorkflowResult, +) +from message_passing.waiting_for_handlers.activities import ( + activity_executed_by_update_handler, +) + + +def is_workflow_exit_exception(e: BaseException) -> bool: + """ + True if the exception is of a type that will cause the workflow to exit. + + This is as opposed to exceptions that cause a workflow task failure, which + are retried automatically by Temporal. + """ + # 👉 If you have set additional failure_exception_types you should also + # check for these here. + return isinstance(e, (asyncio.CancelledError, exceptions.FailureError)) + + +@workflow.defn +class WaitingForHandlersWorkflow: + @workflow.run + async def run(self, input: WorkflowInput) -> WorkflowResult: + """ + This workflow.run method demonstrates a pattern that can be used to wait for signal and + update handlers to finish in the following circumstances: + + - On successful workflow return + - On workflow cancellation + - On workflow failure + + Your workflow can also exit via Continue-As-New. In that case you would usually wait for + the handlers to finish immediately before the call to continue_as_new(); that's not + illustrated in this sample. + + If you additionally need to perform cleanup or compensation on workflow failure or + cancellation, see the message_passing/waiting_for_handlers_and_compensation sample. + """ + try: + # 👉 Use this `try...except` style, instead of waiting for message + # handlers to finish in a `finally` block. The reason is that some + # exception types cause a workflow task failure as opposed to + # workflow exit, in which case we do *not* want to wait for message + # handlers to finish. + result = await self._my_workflow_application_logic(input) + await workflow.wait_condition(workflow.all_handlers_finished) + return result + # 👉 Catch BaseException since asyncio.CancelledError does not inherit + # from Exception. + except BaseException as e: + if is_workflow_exit_exception(e): + await workflow.wait_condition(workflow.all_handlers_finished) + raise + + # Methods below this point can be ignored unless you are interested in + # the implementation details of this sample. + + def __init__(self) -> None: + self._update_started = False + + @workflow.update + async def my_update(self) -> str: + self._update_started = True + await workflow.execute_activity( + activity_executed_by_update_handler, + start_to_close_timeout=timedelta(seconds=10), + ) + return "update-result" + + async def _my_workflow_application_logic( + self, input: WorkflowInput + ) -> WorkflowResult: + # The main workflow logic is implemented in a separate method in order + # to separate "platform-level" concerns (waiting for handlers to finish + # and error handling) from application logic. + + # Wait until handlers have started, so that we are demonstrating that we + # wait for them to finish. + await workflow.wait_condition(lambda: self._update_started) + if input.exit_type == WorkflowExitType.SUCCESS: + return WorkflowResult(data="workflow-result") + elif input.exit_type == WorkflowExitType.FAILURE: + raise exceptions.ApplicationError("deliberately failing workflow") + elif input.exit_type == WorkflowExitType.CANCELLATION: + # Block forever; the starter will send a workflow cancellation request. + await asyncio.Future() + raise AssertionError("unreachable") diff --git a/message_passing/waiting_for_handlers_and_compensation/README.md b/message_passing/waiting_for_handlers_and_compensation/README.md new file mode 100644 index 00000000..47df3b63 --- /dev/null +++ b/message_passing/waiting_for_handlers_and_compensation/README.md @@ -0,0 +1,39 @@ +# Waiting for message handlers, and performing compensation and cleanup in message handlers + +This sample demonstrates how to do the following: + +1. Ensure that all update/signal handlers are finished before a successful + workflow return, and on workflow cancellation and failure. +2. Perform compensation/cleanup in an update handler when the workflow is + cancelled or fails. + +For a simpler sample showing how to do (1) without (2), see [safe_message_handlers](../safe_message_handlers/README.md). + +To run, open two terminals and `cd` to this directory in them. + +Run the worker in one terminal: + + poetry run python worker.py + +And run the workflow-starter code in the other terminal: + + poetry run python starter.py + + +Here's the output you'll see: + +``` +workflow exit type: SUCCESS + 🟢 caller received update result + 🟢 caller received workflow result + + +workflow exit type: FAILURE + 🔴 caught exception while waiting for update result: Workflow update failed: The update failed because the workflow run exited + 🔴 caught exception while waiting for workflow result: Workflow execution failed: deliberately failing workflow + + +workflow exit type: CANCELLATION + 🔴 caught exception while waiting for update result: Workflow update failed: The update failed because the workflow run exited + 🔴 caught exception while waiting for workflow result: Workflow execution failed: Workflow cancelled +``` \ No newline at end of file diff --git a/message_passing/waiting_for_handlers_and_compensation/__init__.py b/message_passing/waiting_for_handlers_and_compensation/__init__.py new file mode 100644 index 00000000..1274f9bf --- /dev/null +++ b/message_passing/waiting_for_handlers_and_compensation/__init__.py @@ -0,0 +1,21 @@ +from dataclasses import dataclass +from enum import IntEnum + +TASK_QUEUE = "my-task-queue" +WORKFLOW_ID = "my-workflow-id" + + +class WorkflowExitType(IntEnum): + SUCCESS = 0 + FAILURE = 1 + CANCELLATION = 2 + + +@dataclass +class WorkflowInput: + exit_type: WorkflowExitType + + +@dataclass +class WorkflowResult: + data: str diff --git a/message_passing/waiting_for_handlers_and_compensation/activities.py b/message_passing/waiting_for_handlers_and_compensation/activities.py new file mode 100644 index 00000000..36c5a5cb --- /dev/null +++ b/message_passing/waiting_for_handlers_and_compensation/activities.py @@ -0,0 +1,18 @@ +import asyncio + +from temporalio import activity + + +@activity.defn +async def activity_executed_to_perform_workflow_compensation(): + await asyncio.sleep(1) + + +@activity.defn +async def activity_executed_by_update_handler(): + await asyncio.sleep(1) + + +@activity.defn +async def activity_executed_by_update_handler_to_perform_compensation(): + await asyncio.sleep(1) diff --git a/message_passing/waiting_for_handlers_and_compensation/starter.py b/message_passing/waiting_for_handlers_and_compensation/starter.py new file mode 100644 index 00000000..812bee5f --- /dev/null +++ b/message_passing/waiting_for_handlers_and_compensation/starter.py @@ -0,0 +1,71 @@ +import asyncio + +from temporalio import client, common + +from message_passing.waiting_for_handlers_and_compensation import ( + TASK_QUEUE, + WORKFLOW_ID, + WorkflowExitType, + WorkflowInput, +) +from message_passing.waiting_for_handlers_and_compensation.workflows import ( + WaitingForHandlersAndCompensationWorkflow, +) + + +async def starter(exit_type: WorkflowExitType): + cl = await client.Client.connect("localhost:7233") + wf_handle = await cl.start_workflow( + WaitingForHandlersAndCompensationWorkflow.run, + WorkflowInput(exit_type=exit_type), + id=WORKFLOW_ID, + task_queue=TASK_QUEUE, + id_conflict_policy=common.WorkflowIDConflictPolicy.TERMINATE_EXISTING, + ) + await _check_run(wf_handle, exit_type) + + +async def _check_run( + wf_handle: client.WorkflowHandle, + exit_type: WorkflowExitType, +): + try: + up_handle = await wf_handle.start_update( + WaitingForHandlersAndCompensationWorkflow.my_update, + wait_for_stage=client.WorkflowUpdateStage.ACCEPTED, + ) + except Exception as e: + print(f" 🔴 caught exception while starting update: {e}: {e.__cause__ or ''}") + + if exit_type == WorkflowExitType.CANCELLATION: + await wf_handle.cancel() + + try: + await up_handle.result() + print(" 🟢 caller received update result") + except Exception as e: + print( + f" 🔴 caught exception while waiting for update result: {e}: {e.__cause__ or ''}" + ) + + try: + await wf_handle.result() + print(" 🟢 caller received workflow result") + except Exception as e: + print( + f" 🔴 caught exception while waiting for workflow result: {e}: {e.__cause__ or ''}" + ) + + +async def main(): + for exit_type in [ + WorkflowExitType.SUCCESS, + WorkflowExitType.FAILURE, + WorkflowExitType.CANCELLATION, + ]: + print(f"\n\nworkflow exit type: {exit_type.name}") + await starter(exit_type) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/message_passing/waiting_for_handlers_and_compensation/worker.py b/message_passing/waiting_for_handlers_and_compensation/worker.py new file mode 100644 index 00000000..7daf768f --- /dev/null +++ b/message_passing/waiting_for_handlers_and_compensation/worker.py @@ -0,0 +1,46 @@ +import asyncio +import logging + +from temporalio.client import Client +from temporalio.worker import Worker + +from message_passing.waiting_for_handlers_and_compensation import TASK_QUEUE +from message_passing.waiting_for_handlers_and_compensation.activities import ( + activity_executed_by_update_handler, + activity_executed_by_update_handler_to_perform_compensation, + activity_executed_to_perform_workflow_compensation, +) +from message_passing.waiting_for_handlers_and_compensation.workflows import ( + WaitingForHandlersAndCompensationWorkflow, +) + +interrupt_event = asyncio.Event() + + +async def main(): + logging.basicConfig(level=logging.INFO) + + client = await Client.connect("localhost:7233") + + async with Worker( + client, + task_queue=TASK_QUEUE, + workflows=[WaitingForHandlersAndCompensationWorkflow], + activities=[ + activity_executed_by_update_handler, + activity_executed_by_update_handler_to_perform_compensation, + activity_executed_to_perform_workflow_compensation, + ], + ): + logging.info("Worker started, ctrl+c to exit") + await interrupt_event.wait() + logging.info("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/message_passing/waiting_for_handlers_and_compensation/workflows.py b/message_passing/waiting_for_handlers_and_compensation/workflows.py new file mode 100644 index 00000000..450dff2c --- /dev/null +++ b/message_passing/waiting_for_handlers_and_compensation/workflows.py @@ -0,0 +1,176 @@ +import asyncio +from datetime import timedelta +from typing import cast + +from temporalio import exceptions, workflow + +from message_passing.waiting_for_handlers_and_compensation import ( + WorkflowExitType, + WorkflowInput, + WorkflowResult, +) +from message_passing.waiting_for_handlers_and_compensation.activities import ( + activity_executed_by_update_handler, + activity_executed_by_update_handler_to_perform_compensation, + activity_executed_to_perform_workflow_compensation, +) + + +@workflow.defn +class WaitingForHandlersAndCompensationWorkflow: + """ + This Workflow demonstrates how to wait for message handlers to finish and + perform compensation/cleanup: + + 1. It ensures that all signal and update handlers have finished before a + successful return, and on failure and cancellation. + 2. The update handler performs any necessary compensation/cleanup when the + workflow is cancelled or fails. + + If all you need to do is wait for handlers, without performing cleanup or compensation, + then see the simpler sample message_passing/waiting_for_handlers. + """ + + def __init__(self) -> None: + # 👉 If the workflow exits prematurely, this future will be completed + # with the associated exception as its value. Message handlers can then + # "race" this future against a task performing the message handler's own + # application logic; if this future completes before the message handler + # task then the handler should abort and perform compensation. + self.workflow_exit: asyncio.Future[None] = asyncio.Future() + + # The following attributes are implementation detail of this sample and can be + # ignored + self._update_started = False + self._update_compensation_done = False + self._workflow_compensation_done = False + + @workflow.run + async def run(self, input: WorkflowInput) -> WorkflowResult: + try: + # 👉 Use this `try...except` style, instead of waiting for message + # handlers to finish in a `finally` block. The reason is that some + # exception types cause a workflow task failure as opposed to + # workflow exit, in which case we do *not* want to wait for message + # handlers to finish. + + # 👉 The actual workflow application logic is implemented in a + # separate method in order to separate "platform-level" concerns + # (waiting for handlers to finish and ensuring that compensation is + # performed when appropriate) from application logic. + result = await self._my_workflow_application_logic(input) + self.workflow_exit.set_result(None) + await workflow.wait_condition(workflow.all_handlers_finished) + return result + # 👉 Catch BaseException since asyncio.CancelledError does not inherit + # from Exception. + except BaseException as e: + if is_workflow_exit_exception(e): + self.workflow_exit.set_exception(e) + await workflow.wait_condition(workflow.all_handlers_finished) + await self.workflow_compensation() + self._workflow_compensation_done = True + raise + + async def workflow_compensation(self): + await workflow.execute_activity( + activity_executed_to_perform_workflow_compensation, + start_to_close_timeout=timedelta(seconds=10), + ) + self._update_compensation_done = True + + @workflow.update + async def my_update(self) -> str: + """ + An update handler that handles exceptions raised in its own execution + and in that of the main workflow method. + + It ensures that: + - Compensation/cleanup is always performed when appropriate + - The update caller gets the update result, or WorkflowUpdateFailedError + """ + # 👉 "Race" the workflow_exit future against the handler's own + # application logic. Always use `workflow.wait` instead of + # `asyncio.wait` in Workflow code: asyncio's version is + # non-deterministic. (Note that coroutines must be wrapped in tasks in + # order to use workflow.wait.) + update_task = asyncio.create_task(self._my_update_application_logic()) + await workflow.wait( # type: ignore + [update_task, self.workflow_exit], return_when=asyncio.FIRST_EXCEPTION + ) + try: + if update_task.done(): + # 👉 The update has finished (whether successfully or not). + # Regardless of whether the main workflow method is about to + # exit or not, the update caller should receive a response + # informing them of the outcome of the update. So return the + # result, or raise the exception that caused the update handler + # to exit. + return await update_task + else: + # 👉 The main workflow method exited prematurely due to an + # error, and this happened before the update finished. Fail the + # update with the workflow exception as cause. + raise exceptions.ApplicationError( + "The update failed because the workflow run exited" + ) from cast(BaseException, self.workflow_exit.exception()) + # 👉 Catch BaseException since asyncio.CancelledError does not inherit + # from Exception. + except BaseException as e: + if is_workflow_exit_exception(e): + try: + await self.my_update_compensation() + except BaseException as e: + raise exceptions.ApplicationError( + "Update compensation failed" + ) from e + raise + + async def my_update_compensation(self): + await workflow.execute_activity( + activity_executed_by_update_handler_to_perform_compensation, + start_to_close_timeout=timedelta(seconds=10), + ) + self._update_compensation_done = True + + @workflow.query + def workflow_compensation_done(self) -> bool: + return self._workflow_compensation_done + + @workflow.query + def update_compensation_done(self) -> bool: + return self._update_compensation_done + + # Methods below this point are placeholders for the actual application logic + # that you would perform in your main workflow method or update handler. + # They can be ignored unless you are interested in the implementation + # details of this sample. + + async def _my_update_application_logic(self) -> str: + self._update_started = True + await workflow.execute_activity( + activity_executed_by_update_handler, + start_to_close_timeout=timedelta(seconds=10), + ) + return "update-result" + + async def _my_workflow_application_logic( + self, input: WorkflowInput + ) -> WorkflowResult: + # Wait until handlers have started, so that we are demonstrating that we + # wait for them to finish. + await workflow.wait_condition(lambda: self._update_started) + if input.exit_type == WorkflowExitType.SUCCESS: + return WorkflowResult(data="workflow-result") + elif input.exit_type == WorkflowExitType.FAILURE: + raise exceptions.ApplicationError("deliberately failing workflow") + elif input.exit_type == WorkflowExitType.CANCELLATION: + # Block forever; the starter will send a workflow cancellation request. + await asyncio.Future() + raise AssertionError("unreachable") + + +def is_workflow_exit_exception(e: BaseException) -> bool: + # 👉 If you have set additional failure_exception_types you should also + # check for these here. + return isinstance(e, (asyncio.CancelledError, exceptions.FailureError)) diff --git a/pydantic_converter/converter.py b/pydantic_converter/converter.py index a3c1cee6..81997e81 100644 --- a/pydantic_converter/converter.py +++ b/pydantic_converter/converter.py @@ -42,9 +42,11 @@ class PydanticPayloadConverter(CompositePayloadConverter): def __init__(self) -> None: super().__init__( *( - c - if not isinstance(c, JSONPlainPayloadConverter) - else PydanticJSONPayloadConverter() + ( + c + if not isinstance(c, JSONPlainPayloadConverter) + else PydanticJSONPayloadConverter() + ) for c in DefaultPayloadConverter.default_encoding_payload_converters ) ) diff --git a/tests/message_passing/waiting_for_handlers/waiting_for_handlers_test.py b/tests/message_passing/waiting_for_handlers/waiting_for_handlers_test.py new file mode 100644 index 00000000..e6d200e3 --- /dev/null +++ b/tests/message_passing/waiting_for_handlers/waiting_for_handlers_test.py @@ -0,0 +1,80 @@ +from enum import Enum + +import pytest +from temporalio import client, worker +from temporalio.testing import WorkflowEnvironment + +from message_passing.waiting_for_handlers import WorkflowExitType, WorkflowInput +from message_passing.waiting_for_handlers.activities import ( + activity_executed_by_update_handler, +) +from message_passing.waiting_for_handlers.starter import TASK_QUEUE +from message_passing.waiting_for_handlers.workflows import WaitingForHandlersWorkflow + + +class UpdateExpect(Enum): + SUCCESS = "success" + FAILURE = "failure" + + +class WorkflowExpect(Enum): + SUCCESS = "success" + FAILURE = "failure" + + +@pytest.mark.parametrize( + ["exit_type_name", "update_expect", "workflow_expect"], + [ + (WorkflowExitType.SUCCESS.name, UpdateExpect.SUCCESS, WorkflowExpect.SUCCESS), + (WorkflowExitType.FAILURE.name, UpdateExpect.SUCCESS, WorkflowExpect.FAILURE), + ( + WorkflowExitType.CANCELLATION.name, + UpdateExpect.SUCCESS, + WorkflowExpect.FAILURE, + ), + ], +) +async def test_waiting_for_handlers( + env: WorkflowEnvironment, + exit_type_name: str, + update_expect: UpdateExpect, + workflow_expect: WorkflowExpect, +): + [exit_type] = [t for t in WorkflowExitType if t.name == exit_type_name] + if env.supports_time_skipping: + pytest.skip( + "Java test server: https://github.com/temporalio/sdk-java/issues/1903" + ) + async with worker.Worker( + env.client, + task_queue=TASK_QUEUE, + workflows=[WaitingForHandlersWorkflow], + activities=[ + activity_executed_by_update_handler, + ], + ): + wf_handle = await env.client.start_workflow( + WaitingForHandlersWorkflow.run, + WorkflowInput(exit_type=exit_type), + id="waiting-for-handlers-test", + task_queue=TASK_QUEUE, + ) + up_handle = await wf_handle.start_update( + WaitingForHandlersWorkflow.my_update, + wait_for_stage=client.WorkflowUpdateStage.ACCEPTED, + ) + + if exit_type == WorkflowExitType.CANCELLATION: + await wf_handle.cancel() + + if update_expect == UpdateExpect.SUCCESS: + await up_handle.result() + else: + with pytest.raises(client.WorkflowUpdateFailedError): + await up_handle.result() + + if workflow_expect == WorkflowExpect.SUCCESS: + await wf_handle.result() + else: + with pytest.raises(client.WorkflowFailureError): + await wf_handle.result() diff --git a/tests/message_passing/waiting_for_handlers_and_compensation/waiting_for_handlers_and_compensation_test.py b/tests/message_passing/waiting_for_handlers_and_compensation/waiting_for_handlers_and_compensation_test.py new file mode 100644 index 00000000..2b10d396 --- /dev/null +++ b/tests/message_passing/waiting_for_handlers_and_compensation/waiting_for_handlers_and_compensation_test.py @@ -0,0 +1,106 @@ +import uuid +from enum import Enum + +import pytest +from temporalio import client, worker +from temporalio.testing import WorkflowEnvironment + +from message_passing.waiting_for_handlers_and_compensation import ( + WorkflowExitType, + WorkflowInput, +) +from message_passing.waiting_for_handlers_and_compensation.activities import ( + activity_executed_by_update_handler, + activity_executed_by_update_handler_to_perform_compensation, + activity_executed_to_perform_workflow_compensation, +) +from message_passing.waiting_for_handlers_and_compensation.starter import TASK_QUEUE +from message_passing.waiting_for_handlers_and_compensation.workflows import ( + WaitingForHandlersAndCompensationWorkflow, +) + + +class UpdateExpect(Enum): + SUCCESS = "success" + FAILURE = "failure" + + +class WorkflowExpect(Enum): + SUCCESS = "success" + FAILURE = "failure" + + +@pytest.mark.parametrize( + ["exit_type_name", "update_expect", "workflow_expect"], + [ + (WorkflowExitType.SUCCESS.name, UpdateExpect.SUCCESS, WorkflowExpect.SUCCESS), + (WorkflowExitType.FAILURE.name, UpdateExpect.FAILURE, WorkflowExpect.FAILURE), + ( + WorkflowExitType.CANCELLATION.name, + UpdateExpect.FAILURE, + WorkflowExpect.FAILURE, + ), + ], +) +async def test_waiting_for_handlers_and_compensation( + env: WorkflowEnvironment, + exit_type_name: str, + update_expect: UpdateExpect, + workflow_expect: WorkflowExpect, +): + [exit_type] = [t for t in WorkflowExitType if t.name == exit_type_name] + if env.supports_time_skipping: + pytest.skip( + "Java test server: https://github.com/temporalio/sdk-java/issues/1903" + ) + async with worker.Worker( + env.client, + task_queue=TASK_QUEUE, + workflows=[WaitingForHandlersAndCompensationWorkflow], + activities=[ + activity_executed_by_update_handler, + activity_executed_by_update_handler_to_perform_compensation, + activity_executed_to_perform_workflow_compensation, + ], + ): + wf_handle = await env.client.start_workflow( + WaitingForHandlersAndCompensationWorkflow.run, + WorkflowInput(exit_type=exit_type), + id=str(uuid.uuid4()), + task_queue=TASK_QUEUE, + ) + up_handle = await wf_handle.start_update( + WaitingForHandlersAndCompensationWorkflow.my_update, + wait_for_stage=client.WorkflowUpdateStage.ACCEPTED, + ) + + if exit_type == WorkflowExitType.CANCELLATION: + await wf_handle.cancel() + + if update_expect == UpdateExpect.SUCCESS: + await up_handle.result() + assert not ( + await wf_handle.query( + WaitingForHandlersAndCompensationWorkflow.update_compensation_done + ) + ) + else: + with pytest.raises(client.WorkflowUpdateFailedError): + await up_handle.result() + assert await wf_handle.query( + WaitingForHandlersAndCompensationWorkflow.update_compensation_done + ) + + if workflow_expect == WorkflowExpect.SUCCESS: + await wf_handle.result() + assert not ( + await wf_handle.query( + WaitingForHandlersAndCompensationWorkflow.workflow_compensation_done + ) + ) + else: + with pytest.raises(client.WorkflowFailureError): + await wf_handle.result() + assert await wf_handle.query( + WaitingForHandlersAndCompensationWorkflow.workflow_compensation_done + ) From 2f3f2ac03d75e854e592b476354c0d692eb23f3b Mon Sep 17 00:00:00 2001 From: Thomas Hardy Date: Thu, 30 Jan 2025 11:23:32 -0800 Subject: [PATCH 73/84] sleep-for-days sample (#160) * sleep-for-days sample * added race between signal and sleep to terminate immediately on signal * added test, removed input param for workflow * fixed text string * address pr comments --- sleep_for_days/README.md | 18 +++++++++ sleep_for_days/__init__.py | 1 + sleep_for_days/activities.py | 18 +++++++++ sleep_for_days/starter.py | 23 ++++++++++++ sleep_for_days/worker.py | 27 ++++++++++++++ sleep_for_days/workflows.py | 37 +++++++++++++++++++ tests/sleep_for_days/__init__.py | 0 tests/sleep_for_days/workflow_test.py | 53 +++++++++++++++++++++++++++ 8 files changed, 177 insertions(+) create mode 100644 sleep_for_days/README.md create mode 100644 sleep_for_days/__init__.py create mode 100644 sleep_for_days/activities.py create mode 100644 sleep_for_days/starter.py create mode 100644 sleep_for_days/worker.py create mode 100644 sleep_for_days/workflows.py create mode 100644 tests/sleep_for_days/__init__.py create mode 100644 tests/sleep_for_days/workflow_test.py diff --git a/sleep_for_days/README.md b/sleep_for_days/README.md new file mode 100644 index 00000000..4ae1d2dc --- /dev/null +++ b/sleep_for_days/README.md @@ -0,0 +1,18 @@ +# Sleep for Days + +This sample demonstrates how to create a Temporal workflow that runs forever, sending an email every 30 days. + +To run, first see the main [README.md](../../README.md) for prerequisites. + +Then create two terminals and `cd` to this directory. + +Run the worker in one terminal: + + poetry run python worker.py + +And execute the workflow in the other terminal: + + poetry run python starter.py + +This sample will run indefinitely until you send a signal to `complete`. See how to send a signal via Temporal CLI [here](https://docs.temporal.io/cli/workflow#signal). + diff --git a/sleep_for_days/__init__.py b/sleep_for_days/__init__.py new file mode 100644 index 00000000..04611d30 --- /dev/null +++ b/sleep_for_days/__init__.py @@ -0,0 +1 @@ +TASK_QUEUE = "sleep-for-days-task-queue" diff --git a/sleep_for_days/activities.py b/sleep_for_days/activities.py new file mode 100644 index 00000000..30972098 --- /dev/null +++ b/sleep_for_days/activities.py @@ -0,0 +1,18 @@ +from dataclasses import dataclass + +from temporalio import activity + + +@dataclass +class SendEmailInput: + email_msg: str + + +@activity.defn() +async def send_email(input: SendEmailInput) -> str: + """ + A stub Activity for sending an email. + """ + result = f"Email message: {input.email_msg}, sent" + activity.logger.info(result) + return result diff --git a/sleep_for_days/starter.py b/sleep_for_days/starter.py new file mode 100644 index 00000000..765842b2 --- /dev/null +++ b/sleep_for_days/starter.py @@ -0,0 +1,23 @@ +import asyncio +import uuid +from typing import Optional + +from temporalio.client import Client + +from sleep_for_days import TASK_QUEUE +from sleep_for_days.workflows import SleepForDaysWorkflow + + +async def main(client: Optional[Client] = None): + client = client or await Client.connect("localhost:7233") + wf_handle = await client.start_workflow( + SleepForDaysWorkflow.run, + id=f"sleep-for-days-workflow-id-{uuid.uuid4()}", + task_queue=TASK_QUEUE, + ) + # Wait for workflow completion (runs indefinitely until it receives a signal) + print(await wf_handle.result()) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/sleep_for_days/worker.py b/sleep_for_days/worker.py new file mode 100644 index 00000000..d03ec726 --- /dev/null +++ b/sleep_for_days/worker.py @@ -0,0 +1,27 @@ +import asyncio +import logging + +from temporalio.client import Client +from temporalio.worker import Worker + +from sleep_for_days import TASK_QUEUE +from sleep_for_days.activities import send_email +from sleep_for_days.workflows import SleepForDaysWorkflow + + +async def main(): + client = await Client.connect("localhost:7233") + + worker = Worker( + client, + task_queue=TASK_QUEUE, + workflows=[SleepForDaysWorkflow], + activities=[send_email], + ) + + await worker.run() + + +if __name__ == "__main__": + logging.basicConfig(level=logging.INFO) + asyncio.run(main()) diff --git a/sleep_for_days/workflows.py b/sleep_for_days/workflows.py new file mode 100644 index 00000000..eff0b273 --- /dev/null +++ b/sleep_for_days/workflows.py @@ -0,0 +1,37 @@ +import asyncio +from dataclasses import dataclass +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from sleep_for_days.activities import SendEmailInput, send_email + + +@workflow.defn() +class SleepForDaysWorkflow: + def __init__(self) -> None: + self.is_complete = False + + @workflow.run + async def run(self) -> str: + while not self.is_complete: + await workflow.execute_activity( + send_email, + SendEmailInput("30 days until the next email"), + start_to_close_timeout=timedelta(seconds=10), + ) + await workflow.wait( + [ + asyncio.create_task(workflow.sleep(timedelta(days=30))), + asyncio.create_task( + workflow.wait_condition(lambda: self.is_complete) + ), + ], + return_when=asyncio.FIRST_COMPLETED, + ) + return "done!" + + @workflow.signal + def complete(self): + self.is_complete = True diff --git a/tests/sleep_for_days/__init__.py b/tests/sleep_for_days/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/sleep_for_days/workflow_test.py b/tests/sleep_for_days/workflow_test.py new file mode 100644 index 00000000..fa3f0686 --- /dev/null +++ b/tests/sleep_for_days/workflow_test.py @@ -0,0 +1,53 @@ +import uuid +from datetime import timedelta + +from temporalio import activity +from temporalio.testing import WorkflowEnvironment +from temporalio.worker import Worker + +from sleep_for_days.starter import TASK_QUEUE +from sleep_for_days.workflows import SendEmailInput, SleepForDaysWorkflow + + +async def test_sleep_for_days_workflow(): + num_activity_executions = 0 + + # Mock out the activity to count executions + @activity.defn(name="send_email") + async def send_email_mock(input: SendEmailInput) -> str: + nonlocal num_activity_executions + num_activity_executions += 1 + return input.email_msg + + async with await WorkflowEnvironment.start_time_skipping() as env: + # if env.supports_time_skipping: + # pytest.skip( + # "Java test server: https://github.com/temporalio/sdk-java/issues/1903" + # ) + async with Worker( + env.client, + task_queue=TASK_QUEUE, + workflows=[SleepForDaysWorkflow], + activities=[send_email_mock], + ): + handle = await env.client.start_workflow( + SleepForDaysWorkflow.run, + id=str(uuid.uuid4()), + task_queue=TASK_QUEUE, + ) + + start_time = await env.get_current_time() + # Time-skip 5 minutes. + await env.sleep(timedelta(minutes=5)) + # Check that the activity has been called, we're now waiting for the sleep to finish. + assert num_activity_executions == 1 + # Time-skip 3 days. + await env.sleep(timedelta(days=90)) + # Expect 3 more activity calls. + assert num_activity_executions == 4 + # Send the signal to complete the workflow. + await handle.signal(SleepForDaysWorkflow.complete) + # Expect no more activity calls to have been made - workflow is complete. + assert num_activity_executions == 4 + # Expect more than 90 days to have passed. + assert (await env.get_current_time() - start_time) > timedelta(days=90) From 1e4d4e6712a1f69e7f094cb8df0ef0558f8bb2bf Mon Sep 17 00:00:00 2001 From: Vasilii Frolov Date: Wed, 5 Feb 2025 17:50:40 +0300 Subject: [PATCH 74/84] fix: variable naming (#155) --- hello/hello_activity_choice.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/hello/hello_activity_choice.py b/hello/hello_activity_choice.py index 2d9d9486..6d15af53 100644 --- a/hello/hello_activity_choice.py +++ b/hello/hello_activity_choice.py @@ -54,10 +54,10 @@ class ShoppingList: @workflow.defn class PurchaseFruitsWorkflow: @workflow.run - async def run(self, list: ShoppingList) -> str: + async def run(self, shopping_list: ShoppingList) -> str: # Order each thing on the list ordered: List[str] = [] - for item in list.items: + for item in shopping_list.items: if item.fruit is Fruit.APPLE: order_function = order_apples elif item.fruit is Fruit.BANANA: From 81b5098e8acd699de37ba62d7d6b7c19319bd878 Mon Sep 17 00:00:00 2001 From: Chad Retz Date: Wed, 5 Feb 2025 15:14:36 -0800 Subject: [PATCH 75/84] Change minimum Python to 3.9 and add Trio sample (#162) Fixes #161 --- .github/workflows/ci.yml | 11 +---- README.md | 3 +- poetry.lock | 67 ++++++++++++++++++++++++++++++- pyproject.toml | 6 ++- tests/trio_async/__init__.py | 0 tests/trio_async/workflow_test.py | 40 ++++++++++++++++++ trio_async/README.md | 23 +++++++++++ trio_async/__init__.py | 0 trio_async/activities.py | 51 +++++++++++++++++++++++ trio_async/starter.py | 28 +++++++++++++ trio_async/worker.py | 66 ++++++++++++++++++++++++++++++ trio_async/workflows.py | 30 ++++++++++++++ 12 files changed, 312 insertions(+), 13 deletions(-) create mode 100644 tests/trio_async/__init__.py create mode 100644 tests/trio_async/workflow_test.py create mode 100644 trio_async/README.md create mode 100644 trio_async/__init__.py create mode 100644 trio_async/activities.py create mode 100644 trio_async/starter.py create mode 100644 trio_async/worker.py create mode 100644 trio_async/workflows.py diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 8bcb6c9e..a784ac8b 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -12,20 +12,13 @@ jobs: strategy: fail-fast: true matrix: - python: ["3.8", "3.12"] + python: ["3.9", "3.12"] os: [ubuntu-latest, macos-intel, macos-arm, windows-latest] include: - os: macos-intel runsOn: macos-13 - os: macos-arm runsOn: macos-14 - # macOS ARM 3.8 does not have an available Python build at - # https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json. - # See https://github.com/actions/setup-python/issues/808 and - # https://github.com/actions/python-versions/pull/259. - exclude: - - os: macos-arm - python: "3.8" runs-on: ${{ matrix.runsOn || matrix.os }} steps: - name: Print build information @@ -39,7 +32,7 @@ jobs: # Using fixed Poetry version until # https://github.com/python-poetry/poetry/pull/7694 is fixed - run: python -m pip install --upgrade wheel "poetry==1.4.0" poethepoet - - run: poetry install --with pydantic --with dsl --with encryption + - run: poetry install --with pydantic --with dsl --with encryption --with trio_async - run: poe lint - run: mkdir junit-xml - run: poe test -s -o log_cli_level=DEBUG --junit-xml=junit-xml/${{ matrix.python }}--${{ matrix.os }}.xml diff --git a/README.md b/README.md index 15ed5939..03f2a6cf 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ This is the set of Python samples for the [Python SDK](https://github.com/tempor Prerequisites: -* Python >= 3.8 +* Python >= 3.9 * [Poetry](https://python-poetry.org) * [Temporal CLI installed](https://docs.temporal.io/cli#install) * [Local Temporal server running](https://docs.temporal.io/cli/server#start-dev) @@ -72,6 +72,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [pydantic_converter](pydantic_converter) - Data converter for using Pydantic models. * [schedules](schedules) - Demonstrates a Workflow Execution that occurs according to a schedule. * [sentry](sentry) - Report errors to Sentry. +* [trio_async](trio_async) - Use asyncio Temporal in Trio-based environments. * [worker_specific_task_queues](worker_specific_task_queues) - Use unique task queues to ensure activities run on specific workers. * [worker_versioning](worker_versioning) - Use the Worker Versioning feature to more easily version your workflows & other code. diff --git a/poetry.lock b/poetry.lock index 03ce9f96..9a9da81b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1806,6 +1806,20 @@ files = [ {file = "orjson-3.10.7.tar.gz", hash = "sha256:75ef0640403f945f3a1f9f6400686560dbfb0fb5b16589ad62cd477043c4eee3"}, ] +[[package]] +name = "outcome" +version = "1.3.0.post0" +description = "Capture the outcome of Python function calls." +optional = false +python-versions = ">=3.7" +files = [ + {file = "outcome-1.3.0.post0-py2.py3-none-any.whl", hash = "sha256:e771c5ce06d1415e356078d3bdd68523f284b4ce5419828922b6871e65eda82b"}, + {file = "outcome-1.3.0.post0.tar.gz", hash = "sha256:9dcf02e65f2971b80047b377468e72a268e15c0af3cf1238e6ff14f7f91143b8"}, +] + +[package.dependencies] +attrs = ">=19.2.0" + [[package]] name = "packaging" version = "23.2" @@ -2575,6 +2589,17 @@ files = [ {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"}, ] +[[package]] +name = "sortedcontainers" +version = "2.4.0" +description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set" +optional = false +python-versions = "*" +files = [ + {file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"}, + {file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"}, +] + [[package]] name = "sqlalchemy" version = "2.0.35" @@ -2805,6 +2830,44 @@ notebook = ["ipywidgets (>=6)"] slack = ["slack-sdk"] telegram = ["requests"] +[[package]] +name = "trio" +version = "0.28.0" +description = "A friendly Python library for async concurrency and I/O" +optional = false +python-versions = ">=3.9" +files = [ + {file = "trio-0.28.0-py3-none-any.whl", hash = "sha256:56d58977acc1635735a96581ec70513cc781b8b6decd299c487d3be2a721cd94"}, + {file = "trio-0.28.0.tar.gz", hash = "sha256:4e547896fe9e8a5658e54e4c7c5fa1db748cbbbaa7c965e7d40505b928c73c05"}, +] + +[package.dependencies] +attrs = ">=23.2.0" +cffi = {version = ">=1.14", markers = "os_name == \"nt\" and implementation_name != \"pypy\""} +exceptiongroup = {version = "*", markers = "python_version < \"3.11\""} +idna = "*" +outcome = "*" +sniffio = ">=1.3.0" +sortedcontainers = "*" + +[[package]] +name = "trio-asyncio" +version = "0.15.0" +description = "A re-implementation of the asyncio mainloop on top of Trio" +optional = false +python-versions = ">=3.8" +files = [ + {file = "trio_asyncio-0.15.0-py3-none-any.whl", hash = "sha256:7dad5a5edcc7c90c5b80b777dcaef11c22668ce7ddc374633068c2b35d683d62"}, + {file = "trio_asyncio-0.15.0.tar.gz", hash = "sha256:061e31a71fb039d5074f064ec868dc0e6759e6cca33bf3080733a20ee9667781"}, +] + +[package.dependencies] +exceptiongroup = {version = ">=1.0.0", markers = "python_version < \"3.11\""} +greenlet = "*" +outcome = "*" +sniffio = ">=1.3.0" +trio = ">=0.22.0" + [[package]] name = "types-protobuf" version = "5.28.0.20240924" @@ -3435,5 +3498,5 @@ testing = ["coverage[toml]", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" -python-versions = "^3.8" -content-hash = "18ee8c512339f34e5cd8361b1057df06e6d45eedd70d6ff70b893f0229f4bb78" +python-versions = "^3.9" +content-hash = "3bcbba92814feab9cc46897967ef51d408271019eb12d3c940f2a0d91a690428" diff --git a/pyproject.toml b/pyproject.toml index 3b51617c..c7343507 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -16,7 +16,7 @@ packages = [ "Bug Tracker" = "https://github.com/temporalio/samples-python/issues" [tool.poetry.dependencies] -python = "^3.8" +python = "^3.9" temporalio = "^1.9.0" [tool.poetry.dev-dependencies] @@ -71,6 +71,10 @@ dependencies = { pydantic = "^1.10.4" } optional = true dependencies = { sentry-sdk = "^1.11.0" } +[tool.poetry.group.trio_async] +optional = true +dependencies = { trio = "^0.28.0", trio-asyncio = "^0.15.0" } + [tool.poe.tasks] format = [{cmd = "black ."}, {cmd = "isort ."}] lint = [{cmd = "black --check ."}, {cmd = "isort --check-only ."}, {ref = "lint-types" }] diff --git a/tests/trio_async/__init__.py b/tests/trio_async/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/trio_async/workflow_test.py b/tests/trio_async/workflow_test.py new file mode 100644 index 00000000..e6981bee --- /dev/null +++ b/tests/trio_async/workflow_test.py @@ -0,0 +1,40 @@ +import uuid + +import trio_asyncio +from temporalio.client import Client +from temporalio.worker import Worker + +from trio_async import activities, workflows + + +async def test_workflow_with_trio(client: Client): + @trio_asyncio.aio_as_trio + async def inside_trio(client: Client) -> list[str]: + # Create Trio thread executor + with trio_asyncio.TrioExecutor(max_workers=200) as thread_executor: + task_queue = f"tq-{uuid.uuid4()}" + # Run worker + async with Worker( + client, + task_queue=task_queue, + activities=[ + activities.say_hello_activity_async, + activities.say_hello_activity_sync, + ], + workflows=[workflows.SayHelloWorkflow], + activity_executor=thread_executor, + workflow_task_executor=thread_executor, + ): + # Run workflow and return result + return await client.execute_workflow( + workflows.SayHelloWorkflow.run, + "some-user", + id=f"wf-{uuid.uuid4()}", + task_queue=task_queue, + ) + + result = trio_asyncio.run(inside_trio, client) + assert result == [ + "Hello, some-user! (from asyncio)", + "Hello, some-user! (from thread)", + ] diff --git a/trio_async/README.md b/trio_async/README.md new file mode 100644 index 00000000..01bc2870 --- /dev/null +++ b/trio_async/README.md @@ -0,0 +1,23 @@ +# Trio Async Sample + +This sample shows how to use Temporal asyncio with [Trio](https://trio.readthedocs.io) using +[Trio asyncio](https://trio-asyncio.readthedocs.io). Specifically it demonstrates using a traditional Temporal client +and worker in a Trio setting, and how Trio-based code can run in both asyncio async activities and threaded sync +activities. + +For this sample, the optional `trio_async` dependency group must be included. To include, run: + + poetry install --with trio_async + +To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the +worker: + + poetry run python worker.py + +This will start the worker. Then, in another terminal, run the following to execute the workflow: + + poetry run python starter.py + +The starter should complete with: + + INFO:root:Workflow result: ['Hello, Temporal! (from asyncio)', 'Hello, Temporal! (from thread)'] \ No newline at end of file diff --git a/trio_async/__init__.py b/trio_async/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/trio_async/activities.py b/trio_async/activities.py new file mode 100644 index 00000000..c253c93e --- /dev/null +++ b/trio_async/activities.py @@ -0,0 +1,51 @@ +import asyncio +import time + +import trio +import trio_asyncio +from temporalio import activity + + +# An asyncio-based async activity +@activity.defn +async def say_hello_activity_async(name: str) -> str: + # Demonstrate a sleep in both asyncio and Trio, showing that both asyncio + # and Trio primitives can be used + + # First asyncio + activity.logger.info("Sleeping in asyncio") + await asyncio.sleep(0.1) + + # Now Trio. We have to invoke the function separately decorated. + # We cannot use the @trio_as_aio decorator on the activity itself because + # it doesn't use functools wrap or similar so it doesn't respond to things + # like __name__ that @activity.defn needs. + return await say_hello_in_trio_from_asyncio(name) + + +@trio_asyncio.trio_as_aio +async def say_hello_in_trio_from_asyncio(name: str) -> str: + activity.logger.info("Sleeping in Trio (from asyncio)") + await trio.sleep(0.1) + return f"Hello, {name}! (from asyncio)" + + +# A thread-based sync activity +@activity.defn +def say_hello_activity_sync(name: str) -> str: + # Demonstrate a sleep in both threaded and Trio, showing that both + # primitives can be used + + # First, thread-blocking + activity.logger.info("Sleeping normally") + time.sleep(0.1) + + # Now Trio. We have to use Trio's thread sync tools to run trio calls from + # a different thread. + return trio.from_thread.run(say_hello_in_trio_from_sync, name) + + +async def say_hello_in_trio_from_sync(name: str) -> str: + activity.logger.info("Sleeping in Trio (from thread)") + await trio.sleep(0.1) + return f"Hello, {name}! (from thread)" diff --git a/trio_async/starter.py b/trio_async/starter.py new file mode 100644 index 00000000..67f7568b --- /dev/null +++ b/trio_async/starter.py @@ -0,0 +1,28 @@ +import logging + +import trio_asyncio +from temporalio.client import Client + +from trio_async import workflows + + +@trio_asyncio.aio_as_trio # Note this decorator which allows asyncio primitives +async def main(): + logging.basicConfig(level=logging.INFO) + + # Connect client + client = await Client.connect("localhost:7233") + + # Execute the workflow + result = await client.execute_workflow( + workflows.SayHelloWorkflow.run, + "Temporal", + id=f"trio-async-workflow-id", + task_queue="trio-async-task-queue", + ) + logging.info(f"Workflow result: {result}") + + +if __name__ == "__main__": + # Note how we're using Trio event loop, not asyncio + trio_asyncio.run(main) diff --git a/trio_async/worker.py b/trio_async/worker.py new file mode 100644 index 00000000..29f059b4 --- /dev/null +++ b/trio_async/worker.py @@ -0,0 +1,66 @@ +import asyncio +import logging +import os +import sys + +import trio_asyncio +from temporalio.client import Client +from temporalio.worker import Worker + +from trio_async import activities, workflows + + +@trio_asyncio.aio_as_trio # Note this decorator which allows asyncio primitives +async def main(): + logging.basicConfig(level=logging.INFO) + + # Connect client + client = await Client.connect("localhost:7233") + + # Temporal runs threaded activities and workflow tasks via run_in_executor. + # Due to how trio_asyncio works, you can only do run_in_executor with their + # specific executor. We make sure to give it 200 max since we are using it + # for both activities and workflow tasks and by default the worker supports + # 100 max concurrent activity tasks and 100 max concurrent workflow tasks. + with trio_asyncio.TrioExecutor(max_workers=200) as thread_executor: + + # Run a worker for the workflow + async with Worker( + client, + task_queue="trio-async-task-queue", + activities=[ + activities.say_hello_activity_async, + activities.say_hello_activity_sync, + ], + workflows=[workflows.SayHelloWorkflow], + activity_executor=thread_executor, + workflow_task_executor=thread_executor, + ): + # Wait until interrupted + logging.info("Worker started, ctrl+c to exit") + try: + await asyncio.Future() + except asyncio.CancelledError: + # Ignore, happens on ctrl+C + pass + finally: + logging.info("Shutting down") + + +if __name__ == "__main__": + # Note how we're using Trio event loop, not asyncio + try: + trio_asyncio.run(main) + except KeyboardInterrupt: + # Ignore ctrl+c + pass + except BaseException as err: + # On Python 3.11+ Trio represents keyboard interrupt inside an exception + # group + is_interrupt = ( + sys.version_info >= (3, 11) + and isinstance(err, BaseExceptionGroup) + and err.subgroup(KeyboardInterrupt) + ) + if not is_interrupt: + raise diff --git a/trio_async/workflows.py b/trio_async/workflows.py new file mode 100644 index 00000000..adcb4761 --- /dev/null +++ b/trio_async/workflows.py @@ -0,0 +1,30 @@ +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from trio_async.activities import say_hello_activity_async, say_hello_activity_sync + + +@workflow.defn +class SayHelloWorkflow: + @workflow.run + async def run(self, name: str) -> list[str]: + # Workflows don't use default asyncio event loop or Trio, they use a + # custom event loop. Therefore Trio primitives should never be used in a + # workflow, only asyncio helpers (which delegate to the custom loop). + return [ + # That these are two different activities for async or sync means + # nothing to the workflow, we just have both to demonstrate the + # activity side + await workflow.execute_activity( + say_hello_activity_async, + name, + start_to_close_timeout=timedelta(minutes=5), + ), + await workflow.execute_activity( + say_hello_activity_sync, + name, + start_to_close_timeout=timedelta(minutes=5), + ), + ] From 3bd017d6048cef8da5dc2c95c37c759e7203a7ba Mon Sep 17 00:00:00 2001 From: Dan Davison Date: Wed, 19 Feb 2025 12:21:07 -0500 Subject: [PATCH 76/84] Update pydantic samples to use SDK contrib module (#163) --- .github/workflows/ci.yml | 14 +- poetry.lock | 2966 +++++++++-------- pydantic_converter/README.md | 18 +- pydantic_converter/starter.py | 4 +- pydantic_converter/worker.py | 36 +- pydantic_converter_v1/README.md | 31 + pydantic_converter_v1/__init__.py | 0 .../converter.py | 0 pydantic_converter_v1/starter.py | 39 + pydantic_converter_v1/worker.py | 98 + pyproject.toml | 10 +- sentry/interceptor.py | 12 +- .../safe_message_handlers/workflow_test.py | 4 +- tests/pydantic_converter/workflow_test.py | 10 +- tests/pydantic_converter_v1/__init__.py | 0 tests/pydantic_converter_v1/workflow_test.py | 46 + 16 files changed, 1787 insertions(+), 1501 deletions(-) create mode 100644 pydantic_converter_v1/README.md create mode 100644 pydantic_converter_v1/__init__.py rename {pydantic_converter => pydantic_converter_v1}/converter.py (100%) create mode 100644 pydantic_converter_v1/starter.py create mode 100644 pydantic_converter_v1/worker.py create mode 100644 tests/pydantic_converter_v1/__init__.py create mode 100644 tests/pydantic_converter_v1/workflow_test.py diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index a784ac8b..721659d1 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -32,11 +32,19 @@ jobs: # Using fixed Poetry version until # https://github.com/python-poetry/poetry/pull/7694 is fixed - run: python -m pip install --upgrade wheel "poetry==1.4.0" poethepoet - - run: poetry install --with pydantic --with dsl --with encryption --with trio_async + - run: poetry install --with pydantic_converter --with dsl --with encryption --with trio_async - run: poe lint - run: mkdir junit-xml - - run: poe test -s -o log_cli_level=DEBUG --junit-xml=junit-xml/${{ matrix.python }}--${{ matrix.os }}.xml - - run: poe test -s -o log_cli_level=DEBUG --workflow-environment time-skipping --junit-xml=junit-xml/${{ matrix.python }}--${{ matrix.os }}--time-skipping.xml + - run: poe test -s --junit-xml=junit-xml/${{ matrix.python }}--${{ matrix.os }}.xml + - run: poe test -s --workflow-environment time-skipping --junit-xml=junit-xml/${{ matrix.python }}--${{ matrix.os }}--time-skipping.xml + # This must remain the last step since it downgrades pydantic + - name: Uninstall pydantic + shell: bash + run: | + echo y | poetry run pip uninstall pydantic + echo y | poetry run pip uninstall pydantic-core + poetry run pip install pydantic==1.10 + poe test -s --junit-xml=junit-xml/${{ matrix.python }}--${{ matrix.os }}--pydantic-v1.xml tests/pydantic_converter_v1/workflow_test.py # On latest, run gevent test - name: Gevent test diff --git a/poetry.lock b/poetry.lock index 9a9da81b..9313a7b9 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,142 +1,144 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. 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"zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = "^3.9" -content-hash = "3bcbba92814feab9cc46897967ef51d408271019eb12d3c940f2a0d91a690428" +content-hash = "3fdf3f13f0c9e9180352dc966e90151e043463d57f937143303c5c787a278f87" diff --git a/pydantic_converter/README.md b/pydantic_converter/README.md index 5914fa3d..e621e6a9 100644 --- a/pydantic_converter/README.md +++ b/pydantic_converter/README.md @@ -1,10 +1,10 @@ # Pydantic Converter Sample -This sample shows how to create a custom Pydantic converter to properly serialize Pydantic models. +This sample shows how to use the Pydantic data converter. -For this sample, the optional `pydantic` dependency group must be included. To include, run: +For this sample, the optional `pydantic_converter` dependency group must be included. To include, run: - poetry install --with pydantic + poetry install --with pydantic_converter To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: @@ -17,15 +17,3 @@ This will start the worker. Then, in another terminal, run the following to exec In the worker terminal, the workflow and its activity will log that it received the Pydantic models. In the starter terminal, the Pydantic models in the workflow result will be logged. - -### Notes - -This is the preferred way to use Pydantic models with Temporal Python SDK. The converter code is small and meant to -embed into other projects. - -This sample also demonstrates use of `datetime` inside of Pydantic models. Due to a known issue with the Temporal -sandbox, this class is seen by Pydantic as `date` instead of `datetime` upon deserialization. This is due to a -[known Python issue](https://github.com/python/cpython/issues/89010) where, when we proxy the `datetime` class in the -sandbox to prevent non-deterministic calls like `now()`, `issubclass` fails for the proxy type causing Pydantic to think -it's a `date` instead. In `worker.py`, we have shown a workaround of disabling restrictions on `datetime` which solves -this issue but no longer protects against workflow developers making non-deterministic calls in that module. \ No newline at end of file diff --git a/pydantic_converter/starter.py b/pydantic_converter/starter.py index 5aceca6e..7cc4cc2d 100644 --- a/pydantic_converter/starter.py +++ b/pydantic_converter/starter.py @@ -4,8 +4,8 @@ from ipaddress import IPv4Address from temporalio.client import Client +from temporalio.contrib.pydantic import pydantic_data_converter -from pydantic_converter.converter import pydantic_data_converter from pydantic_converter.worker import MyPydanticModel, MyWorkflow @@ -29,7 +29,7 @@ async def main(): some_date=datetime(2001, 2, 3, 4, 5, 6), ), ], - id=f"pydantic_converter-workflow-id", + id="pydantic_converter-workflow-id", task_queue="pydantic_converter-task-queue", ) logging.info("Got models from client: %s" % result) diff --git a/pydantic_converter/worker.py b/pydantic_converter/worker.py index b7e0bedf..eac0966c 100644 --- a/pydantic_converter/worker.py +++ b/pydantic_converter/worker.py @@ -1,5 +1,4 @@ import asyncio -import dataclasses import logging from datetime import datetime, timedelta from ipaddress import IPv4Address @@ -8,17 +7,12 @@ from temporalio import activity, workflow from temporalio.client import Client from temporalio.worker import Worker -from temporalio.worker.workflow_sandbox import ( - SandboxedWorkflowRunner, - SandboxRestrictions, -) -# We always want to pass through external modules to the sandbox that we know -# are safe for workflow use +# Always pass through external modules to the sandbox that you know are safe for +# workflow use with workflow.unsafe.imports_passed_through(): from pydantic import BaseModel - - from pydantic_converter.converter import pydantic_data_converter + from temporalio.contrib.pydantic import pydantic_data_converter class MyPydanticModel(BaseModel): @@ -42,29 +36,6 @@ async def run(self, models: List[MyPydanticModel]) -> List[MyPydanticModel]: ) -# Due to known issues with Pydantic's use of issubclass and our inability to -# override the check in sandbox, Pydantic will think datetime is actually date -# in the sandbox. At the expense of protecting against datetime.now() use in -# workflows, we're going to remove datetime module restrictions. See sdk-python -# README's discussion of known sandbox issues for more details. -def new_sandbox_runner() -> SandboxedWorkflowRunner: - # TODO(cretz): Use with_child_unrestricted when https://github.com/temporalio/sdk-python/issues/254 - # is fixed and released - invalid_module_member_children = dict( - SandboxRestrictions.invalid_module_members_default.children - ) - del invalid_module_member_children["datetime"] - return SandboxedWorkflowRunner( - restrictions=dataclasses.replace( - SandboxRestrictions.default, - invalid_module_members=dataclasses.replace( - SandboxRestrictions.invalid_module_members_default, - children=invalid_module_member_children, - ), - ) - ) - - interrupt_event = asyncio.Event() @@ -81,7 +52,6 @@ async def main(): task_queue="pydantic_converter-task-queue", workflows=[MyWorkflow], activities=[my_activity], - workflow_runner=new_sandbox_runner(), ): # Wait until interrupted print("Worker started, ctrl+c to exit") diff --git a/pydantic_converter_v1/README.md b/pydantic_converter_v1/README.md new file mode 100644 index 00000000..ab7e8212 --- /dev/null +++ b/pydantic_converter_v1/README.md @@ -0,0 +1,31 @@ +# Pydantic v1 Converter Sample + +**This sample shows how to use Pydantic v1 with Temporal. This is not recommended: use Pydantic v2 if possible, and use the +main [pydantic_converter](../pydantic_converter/README.md) sample.** + +To install, run: + + poetry install --with pydantic_converter + poetry run pip uninstall pydantic pydantic-core + poetry run pip install pydantic==1.10 + +To run, first see the root [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the +worker: + + poetry run python worker.py + +This will start the worker. Then, in another terminal, run the following to execute the workflow: + + poetry run python starter.py + +In the worker terminal, the workflow and its activity will log that it received the Pydantic models. In the starter +terminal, the Pydantic models in the workflow result will be logged. + +### Notes + +This sample also demonstrates use of `datetime` inside of Pydantic v1 models. Due to a known issue with the Temporal +sandbox, this class is seen by Pydantic v1 as `date` instead of `datetime` upon deserialization. This is due to a +[known Python issue](https://github.com/python/cpython/issues/89010) where, when we proxy the `datetime` class in the +sandbox to prevent non-deterministic calls like `now()`, `issubclass` fails for the proxy type causing Pydantic v1 to think +it's a `date` instead. In `worker.py`, we have shown a workaround of disabling restrictions on `datetime` which solves +this issue but no longer protects against workflow developers making non-deterministic calls in that module. \ No newline at end of file diff --git a/pydantic_converter_v1/__init__.py b/pydantic_converter_v1/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pydantic_converter/converter.py b/pydantic_converter_v1/converter.py similarity index 100% rename from pydantic_converter/converter.py rename to pydantic_converter_v1/converter.py diff --git a/pydantic_converter_v1/starter.py b/pydantic_converter_v1/starter.py new file mode 100644 index 00000000..8ab58bdc --- /dev/null +++ b/pydantic_converter_v1/starter.py @@ -0,0 +1,39 @@ +import asyncio +import logging +from datetime import datetime +from ipaddress import IPv4Address + +from temporalio.client import Client + +from pydantic_converter_v1.converter import pydantic_data_converter +from pydantic_converter_v1.worker import MyPydanticModel, MyWorkflow + + +async def main(): + logging.basicConfig(level=logging.INFO) + # Connect client using the Pydantic converter + client = await Client.connect( + "localhost:7233", data_converter=pydantic_data_converter + ) + + # Run workflow + result = await client.execute_workflow( + MyWorkflow.run, + [ + MyPydanticModel( + some_ip=IPv4Address("127.0.0.1"), + some_date=datetime(2000, 1, 2, 3, 4, 5), + ), + MyPydanticModel( + some_ip=IPv4Address("127.0.0.2"), + some_date=datetime(2001, 2, 3, 4, 5, 6), + ), + ], + id="pydantic_converter-workflow-id", + task_queue="pydantic_converter-task-queue", + ) + logging.info("Got models from client: %s" % result) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/pydantic_converter_v1/worker.py b/pydantic_converter_v1/worker.py new file mode 100644 index 00000000..5c22b6f1 --- /dev/null +++ b/pydantic_converter_v1/worker.py @@ -0,0 +1,98 @@ +import asyncio +import dataclasses +import logging +from datetime import datetime, timedelta +from ipaddress import IPv4Address +from typing import List + +from temporalio import activity, workflow +from temporalio.client import Client +from temporalio.worker import Worker +from temporalio.worker.workflow_sandbox import ( + SandboxedWorkflowRunner, + SandboxRestrictions, +) + +# We always want to pass through external modules to the sandbox that we know +# are safe for workflow use +with workflow.unsafe.imports_passed_through(): + from pydantic import BaseModel + + from pydantic_converter_v1.converter import pydantic_data_converter + + +class MyPydanticModel(BaseModel): + some_ip: IPv4Address + some_date: datetime + + +@activity.defn +async def my_activity(models: List[MyPydanticModel]) -> List[MyPydanticModel]: + activity.logger.info("Got models in activity: %s" % models) + return models + + +@workflow.defn +class MyWorkflow: + @workflow.run + async def run(self, models: List[MyPydanticModel]) -> List[MyPydanticModel]: + workflow.logger.info("Got models in workflow: %s" % models) + return await workflow.execute_activity( + my_activity, models, start_to_close_timeout=timedelta(minutes=1) + ) + + +# Due to known issues with Pydantic's use of issubclass and our inability to +# override the check in sandbox, Pydantic will think datetime is actually date +# in the sandbox. At the expense of protecting against datetime.now() use in +# workflows, we're going to remove datetime module restrictions. See sdk-python +# README's discussion of known sandbox issues for more details. +def new_sandbox_runner() -> SandboxedWorkflowRunner: + # TODO(cretz): Use with_child_unrestricted when https://github.com/temporalio/sdk-python/issues/254 + # is fixed and released + invalid_module_member_children = dict( + SandboxRestrictions.invalid_module_members_default.children + ) + del invalid_module_member_children["datetime"] + return SandboxedWorkflowRunner( + restrictions=dataclasses.replace( + SandboxRestrictions.default, + invalid_module_members=dataclasses.replace( + SandboxRestrictions.invalid_module_members_default, + children=invalid_module_member_children, + ), + ) + ) + + +interrupt_event = asyncio.Event() + + +async def main(): + logging.basicConfig(level=logging.INFO) + # Connect client using the Pydantic converter + client = await Client.connect( + "localhost:7233", data_converter=pydantic_data_converter + ) + + # Run a worker for the workflow + async with Worker( + client, + task_queue="pydantic_converter-task-queue", + workflows=[MyWorkflow], + activities=[my_activity], + workflow_runner=new_sandbox_runner(), + ): + # Wait until interrupted + print("Worker started, ctrl+c to exit") + await interrupt_event.wait() + print("Shutting down") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/pyproject.toml b/pyproject.toml index c7343507..d7cbab09 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,15 +17,17 @@ packages = [ [tool.poetry.dependencies] python = "^3.9" -temporalio = "^1.9.0" +temporalio = "^1.10.0" [tool.poetry.dev-dependencies] black = "^22.3.0" isort = "^5.10.1" -mypy = "^0.981" +mypy = "^1.4.1" pytest = "^7.1.2" pytest-asyncio = "^0.18.3" frozenlist = "^1.4.0" +types-pyyaml = "^6.0.12.20241230" + # All sample-specific dependencies are in optional groups below, named after the # sample they apply to @@ -63,9 +65,9 @@ optional = true temporalio = { version = "*", extras = ["opentelemetry"] } opentelemetry-exporter-otlp-proto-grpc = "1.18.0" -[tool.poetry.group.pydantic] +[tool.poetry.group.pydantic_converter] optional = true -dependencies = { pydantic = "^1.10.4" } +dependencies = { pydantic = "^2.10.6" } [tool.poetry.group.sentry] optional = true diff --git a/sentry/interceptor.py b/sentry/interceptor.py index f1737ed2..eceba41d 100644 --- a/sentry/interceptor.py +++ b/sentry/interceptor.py @@ -37,8 +37,10 @@ async def execute_activity(self, input: ExecuteActivityInput) -> Any: try: return await super().execute_activity(input) except Exception as e: - if len(input.args) == 1 and is_dataclass(input.args[0]): - set_context("temporal.activity.input", asdict(input.args[0])) + if len(input.args) == 1: + [arg] = input.args + if is_dataclass(arg) and not isinstance(arg, type): + set_context("temporal.activity.input", asdict(arg)) set_context("temporal.activity.info", activity.info().__dict__) capture_exception() raise e @@ -58,8 +60,10 @@ async def execute_workflow(self, input: ExecuteWorkflowInput) -> Any: try: return await super().execute_workflow(input) except Exception as e: - if len(input.args) == 1 and is_dataclass(input.args[0]): - set_context("temporal.workflow.input", asdict(input.args[0])) + if len(input.args) == 1: + [arg] = input.args + if is_dataclass(arg) and not isinstance(arg, type): + set_context("temporal.workflow.input", asdict(arg)) set_context("temporal.workflow.info", workflow.info().__dict__) if not workflow.unsafe.is_replaying(): diff --git a/tests/message_passing/safe_message_handlers/workflow_test.py b/tests/message_passing/safe_message_handlers/workflow_test.py index 8cd303d5..8fd28d8d 100644 --- a/tests/message_passing/safe_message_handlers/workflow_test.py +++ b/tests/message_passing/safe_message_handlers/workflow_test.py @@ -79,8 +79,8 @@ async def test_safe_message_handlers(client: Client, env: WorkflowEnvironment): await cluster_manager_handle.signal(ClusterManagerWorkflow.shutdown_cluster) - result = await cluster_manager_handle.result() - assert result.num_currently_assigned_nodes == 0 + cluster_manager_result = await cluster_manager_handle.result() + assert cluster_manager_result.num_currently_assigned_nodes == 0 async def test_update_idempotency(client: Client, env: WorkflowEnvironment): diff --git a/tests/pydantic_converter/workflow_test.py b/tests/pydantic_converter/workflow_test.py index a547caf0..c673164e 100644 --- a/tests/pydantic_converter/workflow_test.py +++ b/tests/pydantic_converter/workflow_test.py @@ -3,15 +3,10 @@ from ipaddress import IPv4Address from temporalio.client import Client +from temporalio.contrib.pydantic import pydantic_data_converter from temporalio.worker import Worker -from pydantic_converter.converter import pydantic_data_converter -from pydantic_converter.worker import ( - MyPydanticModel, - MyWorkflow, - my_activity, - new_sandbox_runner, -) +from pydantic_converter.worker import MyPydanticModel, MyWorkflow, my_activity async def test_workflow_with_pydantic_model(client: Client): @@ -35,7 +30,6 @@ async def test_workflow_with_pydantic_model(client: Client): task_queue=task_queue_name, workflows=[MyWorkflow], activities=[my_activity], - workflow_runner=new_sandbox_runner(), ): result = await client.execute_workflow( MyWorkflow.run, diff --git a/tests/pydantic_converter_v1/__init__.py b/tests/pydantic_converter_v1/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/pydantic_converter_v1/workflow_test.py b/tests/pydantic_converter_v1/workflow_test.py new file mode 100644 index 00000000..fd0af800 --- /dev/null +++ b/tests/pydantic_converter_v1/workflow_test.py @@ -0,0 +1,46 @@ +import uuid +from datetime import datetime +from ipaddress import IPv4Address + +from temporalio.client import Client +from temporalio.worker import Worker + +from pydantic_converter_v1.converter import pydantic_data_converter +from pydantic_converter_v1.worker import ( + MyPydanticModel, + MyWorkflow, + my_activity, + new_sandbox_runner, +) + + +async def test_workflow_with_pydantic_model(client: Client): + # Replace data converter in client + new_config = client.config() + new_config["data_converter"] = pydantic_data_converter + client = Client(**new_config) + task_queue_name = str(uuid.uuid4()) + + orig_models = [ + MyPydanticModel( + some_ip=IPv4Address("127.0.0.1"), some_date=datetime(2000, 1, 2, 3, 4, 5) + ), + MyPydanticModel( + some_ip=IPv4Address("127.0.0.2"), some_date=datetime(2001, 2, 3, 4, 5, 6) + ), + ] + + async with Worker( + client, + task_queue=task_queue_name, + workflows=[MyWorkflow], + activities=[my_activity], + workflow_runner=new_sandbox_runner(), + ): + result = await client.execute_workflow( + MyWorkflow.run, + orig_models, + id=str(uuid.uuid4()), + task_queue=task_queue_name, + ) + assert orig_models == result From 7577bd6f52652cb82ad9818074931a794d568a39 Mon Sep 17 00:00:00 2001 From: Maxim Fateev Date: Tue, 1 Apr 2025 11:36:53 -0700 Subject: [PATCH 77/84] Added updatable timer sample. (#167) --- .gitignore | 1 + README.md | 1 + tests/updatable_timer/__init__.py | 0 tests/updatable_timer/updatable_timer_test.py | 33 +++++++++++++++ updatable_timer/README.md | 42 +++++++++++++++++++ updatable_timer/__init__.py | 1 + updatable_timer/starter.py | 32 ++++++++++++++ updatable_timer/updatable_timer_lib.py | 39 +++++++++++++++++ updatable_timer/wake_up_time_updater.py | 26 ++++++++++++ updatable_timer/worker.py | 35 ++++++++++++++++ updatable_timer/workflow.py | 32 ++++++++++++++ 11 files changed, 242 insertions(+) create mode 100644 tests/updatable_timer/__init__.py create mode 100644 tests/updatable_timer/updatable_timer_test.py create mode 100644 updatable_timer/README.md create mode 100644 updatable_timer/__init__.py create mode 100644 updatable_timer/starter.py create mode 100644 updatable_timer/updatable_timer_lib.py create mode 100644 updatable_timer/wake_up_time_updater.py create mode 100644 updatable_timer/worker.py create mode 100644 updatable_timer/workflow.py diff --git a/.gitignore b/.gitignore index 033df5fb..5c5ffffd 100644 --- a/.gitignore +++ b/.gitignore @@ -1,2 +1,3 @@ .venv +.idea __pycache__ diff --git a/README.md b/README.md index 03f2a6cf..50cadd0d 100644 --- a/README.md +++ b/README.md @@ -73,6 +73,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [schedules](schedules) - Demonstrates a Workflow Execution that occurs according to a schedule. * [sentry](sentry) - Report errors to Sentry. * [trio_async](trio_async) - Use asyncio Temporal in Trio-based environments. +* [updatable_timer](updatable_timer) - A timer that can be updated while sleeping. * [worker_specific_task_queues](worker_specific_task_queues) - Use unique task queues to ensure activities run on specific workers. * [worker_versioning](worker_versioning) - Use the Worker Versioning feature to more easily version your workflows & other code. diff --git a/tests/updatable_timer/__init__.py b/tests/updatable_timer/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/updatable_timer/updatable_timer_test.py b/tests/updatable_timer/updatable_timer_test.py new file mode 100644 index 00000000..f1e38245 --- /dev/null +++ b/tests/updatable_timer/updatable_timer_test.py @@ -0,0 +1,33 @@ +import datetime +import logging +import math +import uuid + +from temporalio.client import Client, WorkflowExecutionStatus +from temporalio.testing import WorkflowEnvironment +from temporalio.worker import Worker + +from updatable_timer.workflow import Workflow + + +async def test_updatable_timer_workflow(client: Client): + logging.basicConfig(level=logging.DEBUG) + + task_queue_name = str(uuid.uuid4()) + async with await WorkflowEnvironment.start_time_skipping() as env: + async with Worker(env.client, task_queue=task_queue_name, workflows=[Workflow]): + in_a_day = float( + (datetime.datetime.now() + datetime.timedelta(days=1)).timestamp() + ) + in_an_hour = float( + (datetime.datetime.now() + datetime.timedelta(hours=1)).timestamp() + ) + handle = await env.client.start_workflow( + Workflow.run, in_a_day, id=str(uuid.uuid4()), task_queue=task_queue_name + ) + wake_up_time1 = await handle.query(Workflow.get_wake_up_time) + assert math.isclose(wake_up_time1, in_a_day) + await handle.signal(Workflow.update_wake_up_time, in_an_hour) + wake_up_time2 = await handle.query(Workflow.get_wake_up_time) + assert math.isclose(wake_up_time2, in_an_hour) + await handle.result() diff --git a/updatable_timer/README.md b/updatable_timer/README.md new file mode 100644 index 00000000..477b36c0 --- /dev/null +++ b/updatable_timer/README.md @@ -0,0 +1,42 @@ +# Updatable Timer Sample + +Demonstrates a helper class which relies on `workflow.wait_condition` to implement a blocking sleep that can be updated at any moment. + +The sample is composed of the three executables: + +* `worker.py` hosts the Workflow Executions. +* `starter.py` starts Workflow Executions. +* `wake_up_timer_updater.py` Signals the Workflow Execution with the new time to wake up. + +First start the Worker: + +```bash +poetry run python worker.py +``` +Check the output of the Worker window. The expected output is: + +``` +Worker started, ctrl+c to exit +``` + +Then in a different terminal window start the Workflow Execution: + +```bash +poetry run python starter.py +``` +Check the output of the Worker window. The expected output is: +``` +Workflow started: run_id=... +``` + +Then run the updater as many times as you want to change timer to 10 seconds from now: + +```bash +poetry run python wake_up_time_updater.py +``` + +Check the output of the worker window. The expected output is: + +``` +Updated wake up time to 10 seconds from now +``` \ No newline at end of file diff --git a/updatable_timer/__init__.py b/updatable_timer/__init__.py new file mode 100644 index 00000000..a5ee5055 --- /dev/null +++ b/updatable_timer/__init__.py @@ -0,0 +1 @@ +TASK_QUEUE = "updatable-timer" diff --git a/updatable_timer/starter.py b/updatable_timer/starter.py new file mode 100644 index 00000000..88b4d0d4 --- /dev/null +++ b/updatable_timer/starter.py @@ -0,0 +1,32 @@ +import asyncio +import logging +from datetime import datetime, timedelta +from typing import Optional + +from temporalio import exceptions +from temporalio.client import Client + +from updatable_timer import TASK_QUEUE +from updatable_timer.workflow import Workflow + + +async def main(client: Optional[Client] = None): + logging.basicConfig(level=logging.INFO) + + client = client or await Client.connect("localhost:7233") + try: + handle = await client.start_workflow( + Workflow.run, + (datetime.now() + timedelta(days=1)).timestamp(), + id=f"updatable-timer-workflow", + task_queue=TASK_QUEUE, + ) + logging.info(f"Workflow started: run_id={handle.result_run_id}") + except exceptions.WorkflowAlreadyStartedError as e: + logging.info( + f"Workflow already running: workflow_id={e.workflow_id}, run_id={e.run_id}" + ) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/updatable_timer/updatable_timer_lib.py b/updatable_timer/updatable_timer_lib.py new file mode 100644 index 00000000..b90ae868 --- /dev/null +++ b/updatable_timer/updatable_timer_lib.py @@ -0,0 +1,39 @@ +import asyncio +from datetime import datetime, timedelta + +from temporalio import workflow + + +class UpdatableTimer: + def __init__(self, wake_up_time: datetime) -> None: + self.wake_up_time = wake_up_time + self.wake_up_time_updated = False + + async def sleep(self) -> None: + workflow.logger.info(f"sleep_until: {self.wake_up_time}") + while True: + now = workflow.now() + + sleep_interval = self.wake_up_time - now + if sleep_interval <= timedelta(0): + break + workflow.logger.info(f"Going to sleep for {sleep_interval}") + + try: + self.wake_up_time_updated = False + await workflow.wait_condition( + lambda: self.wake_up_time_updated, + timeout=sleep_interval, + ) + except asyncio.TimeoutError: + # checks condition at the beginning of the loop + continue + workflow.logger.info(f"sleep_until completed") + + def update_wake_up_time(self, wake_up_time: datetime) -> None: + workflow.logger.info(f"update_wake_up_time: {wake_up_time}") + self.wake_up_time = wake_up_time + self.wake_up_time_updated = True + + def get_wake_up_time(self) -> datetime: + return self.wake_up_time diff --git a/updatable_timer/wake_up_time_updater.py b/updatable_timer/wake_up_time_updater.py new file mode 100644 index 00000000..f406c186 --- /dev/null +++ b/updatable_timer/wake_up_time_updater.py @@ -0,0 +1,26 @@ +import asyncio +import logging +from datetime import datetime, timedelta +from typing import Optional + +from temporalio.client import Client + +from updatable_timer.workflow import Workflow + + +async def main(client: Optional[Client] = None): + logging.basicConfig(level=logging.INFO) + + client = client or await Client.connect("localhost:7233") + handle = client.get_workflow_handle(workflow_id="updatable-timer-workflow") + # signal workflow about the wake up time change + await handle.signal( + Workflow.update_wake_up_time, + (datetime.now() + timedelta(seconds=10)).timestamp(), + ) + + logging.info("Updated wake up time to 10 seconds from now") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/updatable_timer/worker.py b/updatable_timer/worker.py new file mode 100644 index 00000000..096fa1ff --- /dev/null +++ b/updatable_timer/worker.py @@ -0,0 +1,35 @@ +import asyncio +import logging + +from temporalio.client import Client +from temporalio.worker import Worker + +from updatable_timer import TASK_QUEUE +from updatable_timer.workflow import Workflow + +interrupt_event = asyncio.Event() + + +async def main(): + logging.basicConfig(level=logging.INFO) + + client = await Client.connect("localhost:7233") + async with Worker( + client, + task_queue=TASK_QUEUE, + workflows=[Workflow], + ): + logging.info("Worker started, ctrl+c to exit") + # Wait until interrupted + await interrupt_event.wait() + logging.info("Interrupt received, shutting down...") + + +if __name__ == "__main__": + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + try: + loop.run_until_complete(main()) + except KeyboardInterrupt: + interrupt_event.set() + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/updatable_timer/workflow.py b/updatable_timer/workflow.py new file mode 100644 index 00000000..749df6fc --- /dev/null +++ b/updatable_timer/workflow.py @@ -0,0 +1,32 @@ +from datetime import datetime, timezone +from typing import Optional + +from temporalio import workflow + +from updatable_timer.updatable_timer_lib import UpdatableTimer + + +@workflow.defn +class Workflow: + @workflow.init + def __init__(self, wake_up_time: float) -> None: + self.timer = UpdatableTimer( + datetime.fromtimestamp(wake_up_time, tz=timezone.utc) + ) + + @workflow.run + async def run(self, wake_up_time: float): + await self.timer.sleep() + + @workflow.signal + async def update_wake_up_time(self, wake_up_time: float) -> None: + workflow.logger.info(f"update_wake_up_time: {wake_up_time}") + + self.timer.update_wake_up_time( + datetime.fromtimestamp(wake_up_time, tz=timezone.utc) + ) + + @workflow.query + def get_wake_up_time(self) -> float: + workflow.logger.info(f"get_wake_up_time") + return float(self.timer.get_wake_up_time().timestamp()) From 7a1dd4d623244a54170ec1b9952af84d8e5acc3e Mon Sep 17 00:00:00 2001 From: Dan Davison Date: Wed, 2 Apr 2025 13:59:09 -0400 Subject: [PATCH 78/84] Migrate to uv (#170) --- .github/workflows/ci.yml | 17 +- README.md | 17 +- activity_worker/README.md | 2 +- bedrock/README.md | 2 +- bedrock/basic/README.md | 4 +- bedrock/entity/README.md | 10 +- bedrock/signals_and_queries/README.md | 8 +- cloud_export_to_parquet/README.md | 6 +- context_propagation/README.md | 4 +- custom_converter/README.md | 4 +- custom_decorator/README.md | 4 +- dsl/README.md | 8 +- encryption/README.md | 8 +- gevent_async/README.md | 6 +- hello/README.md | 2 +- langchain/README.md | 6 +- langchain/activities.py | 4 +- message_passing/introduction/README.md | 4 +- .../safe_message_handlers/README.md | 4 +- .../lazy_initialization/README.md | 4 +- .../waiting_for_handlers/README.md | 4 +- .../README.md | 4 +- open_telemetry/README.md | 6 +- patching/README.md | 30 +- poetry.lock | 3608 ----------------- polling/frequent/README.md | 4 +- polling/infrequent/README.md | 4 +- polling/periodic_sequence/README.md | 4 +- prometheus/README.md | 4 +- pydantic_converter/README.md | 6 +- pydantic_converter_v1/README.md | 10 +- pyproject.toml | 192 +- replay/README.md | 6 +- schedules/README.md | 16 +- sentry/README.md | 6 +- sleep_for_days/README.md | 4 +- trio_async/README.md | 6 +- updatable_timer/README.md | 6 +- uv.lock | 3041 ++++++++++++++ worker_specific_task_queues/README.md | 6 +- worker_versioning/README.md | 2 +- 41 files changed, 3279 insertions(+), 3814 deletions(-) delete mode 100644 poetry.lock create mode 100644 uv.lock diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 721659d1..bfb1353e 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -21,6 +21,7 @@ jobs: runsOn: macos-14 runs-on: ${{ matrix.runsOn || matrix.os }} steps: + - uses: astral-sh/setup-uv@v5 - name: Print build information run: "echo head_ref: ${{ github.head_ref }}, ref: ${{ github.ref }}, os: ${{ matrix.os }}, python: ${{ matrix.python }}" - uses: actions/checkout@v4 @@ -29,10 +30,8 @@ jobs: - uses: actions/setup-python@v5 with: python-version: ${{ matrix.python }} - # Using fixed Poetry version until - # https://github.com/python-poetry/poetry/pull/7694 is fixed - - run: python -m pip install --upgrade wheel "poetry==1.4.0" poethepoet - - run: poetry install --with pydantic_converter --with dsl --with encryption --with trio_async + - run: uv tool install poethepoet + - run: uv sync --group=dsl --group=encryption --group=trio-async - run: poe lint - run: mkdir junit-xml - run: poe test -s --junit-xml=junit-xml/${{ matrix.python }}--${{ matrix.os }}.xml @@ -41,17 +40,17 @@ jobs: - name: Uninstall pydantic shell: bash run: | - echo y | poetry run pip uninstall pydantic - echo y | poetry run pip uninstall pydantic-core - poetry run pip install pydantic==1.10 + echo y | uv run pip uninstall pydantic + echo y | uv run pip uninstall pydantic-core + uv run pip install pydantic==1.10 poe test -s --junit-xml=junit-xml/${{ matrix.python }}--${{ matrix.os }}--pydantic-v1.xml tests/pydantic_converter_v1/workflow_test.py # On latest, run gevent test - name: Gevent test if: ${{ matrix.python == '3.12' }} run: | - poetry install --with gevent - poetry run python gevent_async/test/run_combined.py + uv sync --group gevent + uv run gevent_async/test/run_combined.py - name: Upload junit-xml artifacts uses: actions/upload-artifact@v4 diff --git a/README.md b/README.md index 50cadd0d..832e0d1f 100644 --- a/README.md +++ b/README.md @@ -1,23 +1,26 @@ # Temporal Python SDK Samples -This is the set of Python samples for the [Python SDK](https://github.com/temporalio/sdk-python). +This is a collection of samples showing how to use the [Python SDK](https://github.com/temporalio/sdk-python). ## Usage Prerequisites: -* Python >= 3.9 -* [Poetry](https://python-poetry.org) +* [uv](https://docs.astral.sh/uv/) * [Temporal CLI installed](https://docs.temporal.io/cli#install) * [Local Temporal server running](https://docs.temporal.io/cli/server#start-dev) +The SDK requires Python >= 3.9. You can install Python using uv. For example, + + uv python install 3.13 + With this repository cloned, run the following at the root of the directory: - poetry install + uv sync -That loads all required dependencies. Then to run a sample, usually you just run it in Python. For example: +That loads all required dependencies. Then to run a sample, usually you just run it under uv. For example: - poetry run python hello/hello_activity.py + uv run hello/hello_activity.py Some examples require extra dependencies. See each sample's directory for specific instructions. @@ -81,7 +84,7 @@ Some examples require extra dependencies. See each sample's directory for specif Running the tests requires `poe` to be installed. - python -m pip install poethepoet + uv tool install poethepoet Once you have `poe` installed you can run: diff --git a/activity_worker/README.md b/activity_worker/README.md index 8b821281..0d904313 100644 --- a/activity_worker/README.md +++ b/activity_worker/README.md @@ -8,6 +8,6 @@ First run the Go workflow worker by running this in the `go_workflow` directory Then in another terminal, run the sample from this directory: - poetry run python activity_worker.py + uv run activity_worker.py The Python code will invoke the Go workflow which will execute the Python activity and return. \ No newline at end of file diff --git a/bedrock/README.md b/bedrock/README.md index b91fa5e5..42a1f4d5 100644 --- a/bedrock/README.md +++ b/bedrock/README.md @@ -20,6 +20,6 @@ These examples use Amazon's Python SDK (Boto3). To configure Boto3 to use your A For these sample, the optional `bedrock` dependency group must be included. To include, run: - poetry install --with bedrock + uv sync --group bedrock There are 3 Bedrock samples, see the README.md in each sub-directory for instructions on running each. \ No newline at end of file diff --git a/bedrock/basic/README.md b/bedrock/basic/README.md index 22a40cdd..88cae861 100644 --- a/bedrock/basic/README.md +++ b/bedrock/basic/README.md @@ -4,7 +4,7 @@ A basic Bedrock workflow. Starts a workflow with a prompt, generates a response To run, first see `samples-python` [README.md](../../README.md), and `bedrock` [README.md](../README.md) for prerequisites specific to this sample. Once set up, run the following from this directory: -1. Run the worker: `poetry run python run_worker.py` +1. Run the worker: `uv run run_worker.py` 2. In another terminal run the client with a prompt: - e.g. `poetry run python send_message.py 'What animals are marsupials?'` \ No newline at end of file + e.g. `uv run send_message.py 'What animals are marsupials?'` \ No newline at end of file diff --git a/bedrock/entity/README.md b/bedrock/entity/README.md index e6104945..5f53840d 100644 --- a/bedrock/entity/README.md +++ b/bedrock/entity/README.md @@ -4,16 +4,16 @@ Multi-Turn Chat using an Entity Workflow. The workflow runs forever unless expli To run, first see `samples-python` [README.md](../../README.md), and `bedrock` [README.md](../README.md) for prerequisites specific to this sample. Once set up, run the following from this directory: -1. Run the worker: `poetry run python run_worker.py` +1. Run the worker: `uv run run_worker.py` 2. In another terminal run the client with a prompt. - Example: `poetry run python send_message.py 'What animals are marsupials?'` + Example: `uv run send_message.py 'What animals are marsupials?'` 3. View the worker's output for the response. 4. Give followup prompts by signaling the workflow. - Example: `poetry run python send_message.py 'Do they lay eggs?'` + Example: `uv run send_message.py 'Do they lay eggs?'` 5. Get the conversation history summary by querying the workflow. - Example: `poetry run python get_history.py` -6. To end the chat session, run `poetry run python end_chat.py` + Example: `uv run get_history.py` +6. To end the chat session, run `uv run end_chat.py` diff --git a/bedrock/signals_and_queries/README.md b/bedrock/signals_and_queries/README.md index 877dedc0..edbca795 100644 --- a/bedrock/signals_and_queries/README.md +++ b/bedrock/signals_and_queries/README.md @@ -4,16 +4,16 @@ Adding signals & queries to the [basic Bedrock sample](../1_basic). Starts a wor To run, first see `samples-python` [README.md](../../README.md), and `bedrock` [README.md](../README.md) for prerequisites specific to this sample. Once set up, run the following from this directory: -1. Run the worker: `poetry run python run_worker.py` +1. Run the worker: `uv run run_worker.py` 2. In another terminal run the client with a prompt. - Example: `poetry run python send_message.py 'What animals are marsupials?'` + Example: `uv run send_message.py 'What animals are marsupials?'` 3. View the worker's output for the response. 4. Give followup prompts by signaling the workflow. - Example: `poetry run python send_message.py 'Do they lay eggs?'` + Example: `uv run send_message.py 'Do they lay eggs?'` 5. Get the conversation history by querying the workflow. - Example: `poetry run python get_history.py` + Example: `uv run get_history.py` 6. The workflow will timeout after inactivity. diff --git a/cloud_export_to_parquet/README.md b/cloud_export_to_parquet/README.md index 873e69b9..fe6b3db9 100644 --- a/cloud_export_to_parquet/README.md +++ b/cloud_export_to_parquet/README.md @@ -4,20 +4,20 @@ This is an example workflow to convert exported file from proto to parquet file. Please make sure your python is 3.9 above. For this sample, run: - poetry install --with cloud_export_to_parquet + uv sync --group=cloud-export-to-parquet Before you start, please modify workflow input in `create_schedule.py` with your s3 bucket and namespace. Also make sure you've the right AWS permission set up in your environment to allow this workflow read and write to your s3 bucket. To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: ```bash -poetry run python run_worker.py +uv run run_worker.py ``` This will start the worker. Then, in another terminal, run the following to execute the schedule: ```bash -poetry run python create_schedule.py +uv run create_schedule.py ``` The workflow should convert exported file in your input s3 bucket to parquet in your specified location. diff --git a/context_propagation/README.md b/context_propagation/README.md index bbf47ac0..e1027292 100644 --- a/context_propagation/README.md +++ b/context_propagation/README.md @@ -6,11 +6,11 @@ this example, [contextvars](https://docs.python.org/3/library/contextvars.html) To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py The starter terminal should complete with the hello result and the worker terminal should show the logs with the propagated user ID contextual information flowing through the workflows/activities. \ No newline at end of file diff --git a/custom_converter/README.md b/custom_converter/README.md index d4c9f588..8e82e483 100644 --- a/custom_converter/README.md +++ b/custom_converter/README.md @@ -5,11 +5,11 @@ This sample shows how to make a custom payload converter for a type not natively To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py The workflow should complete with the hello result. If the custom converter was not set for the custom input and output classes, we would get an error on the client side and on the worker side. \ No newline at end of file diff --git a/custom_decorator/README.md b/custom_decorator/README.md index 65f59482..cfc59111 100644 --- a/custom_decorator/README.md +++ b/custom_decorator/README.md @@ -6,11 +6,11 @@ decorator that automatically configures an activity to heartbeat twice as freque To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py The workflow will be started, and then after 5 seconds will be sent a signal to cancel its forever-running activity. The activity has a heartbeat timeout set to 2s, so since it has the `@auto_heartbeater` decorator set, it will heartbeat diff --git a/dsl/README.md b/dsl/README.md index 4000b3a3..d5051132 100644 --- a/dsl/README.md +++ b/dsl/README.md @@ -6,24 +6,24 @@ samples [in TypeScript](https://github.com/temporalio/samples-typescript/tree/ma For this sample, the optional `dsl` dependency group must be included. To include, run: - poetry install --with dsl + uv sync --group dsl To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute a workflow of steps defined in [workflow1.yaml](workflow1.yaml): - poetry run python starter.py workflow1.yaml + uv run starter.py workflow1.yaml This will run the workflow and show the final variables that the workflow returns. Looking in the worker terminal, each step executed will be visible. Similarly we can do the same for the more advanced [workflow2.yaml](workflow2.yaml) file: - poetry run python starter.py workflow2.yaml + uv run starter.py workflow2.yaml This sample gives a guide of how one can write a workflow to interpret arbitrary steps from a user-provided DSL. Many DSL models are more advanced and are more specific to conform to business logic needs. \ No newline at end of file diff --git a/encryption/README.md b/encryption/README.md index 6c8e9924..09828793 100644 --- a/encryption/README.md +++ b/encryption/README.md @@ -7,16 +7,16 @@ samples [in TypeScript](https://github.com/temporalio/samples-typescript/tree/ma For this sample, the optional `encryption` dependency group must be included. To include, run: - poetry install --with encryption + uv sync --group encryption To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py The workflow should complete with the hello result. To view the workflow, use [temporal](https://docs.temporal.io/cli): @@ -31,7 +31,7 @@ Note how the result looks like (with wrapping removed): This is because the data is encrypted and not visible. To make data visible to external Temporal tools like `temporal` and the UI, start a codec server in another terminal: - poetry run python codec_server.py + uv run codec_server.py Now with that running, run `temporal` again with the codec endpoint: diff --git a/gevent_async/README.md b/gevent_async/README.md index 9b9bdff3..d1d9f048 100644 --- a/gevent_async/README.md +++ b/gevent_async/README.md @@ -12,17 +12,17 @@ workflows. For this sample, the optional `gevent` dependency group must be included. To include, run: - poetry install --with gevent + uv sync --group gevent To run the sample, first see [README.md](../README.md) for prerequisites such as having a localhost Temporal server running. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. The worker has a workflow and two activities, one `asyncio` based and one gevent based. Now in another terminal, run the following from this directory to execute the workflow: - poetry run python starter.py + uv run starter.py The workflow should run and complete with the hello result. Note on the worker terminal there will be logs of the workflow and activity executions. \ No newline at end of file diff --git a/hello/README.md b/hello/README.md index 9e13f544..45d24768 100644 --- a/hello/README.md +++ b/hello/README.md @@ -5,7 +5,7 @@ These samples show basic workflow and activity features. To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to run the `hello_activity.py` sample: - poetry run python hello_activity.py + uv run hello_activity.py The result will be: diff --git a/langchain/README.md b/langchain/README.md index 5204bbb3..264eba28 100644 --- a/langchain/README.md +++ b/langchain/README.md @@ -4,7 +4,7 @@ This sample shows you how you can use Temporal to orchestrate workflows for [Lan For this sample, the optional `langchain` dependency group must be included. To include, run: - poetry install --with langchain + uv sync --group langchain Export your [OpenAI API key](https://platform.openai.com/api-keys) as an environment variable. Replace `YOUR_API_KEY` with your actual OpenAI API key. @@ -13,11 +13,11 @@ Export your [OpenAI API key](https://platform.openai.com/api-keys) as an environ To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute a workflow: - poetry run python starter.py + uv run starter.py Then, in another terminal, run the following command to translate a phrase: diff --git a/langchain/activities.py b/langchain/activities.py index 47b528d5..4425b969 100644 --- a/langchain/activities.py +++ b/langchain/activities.py @@ -26,4 +26,6 @@ async def translate_phrase(params: TranslateParams) -> dict: ) chain = chat_prompt | ChatOpenAI() # Use the asynchronous invoke method - return await chain.ainvoke({"phrase": params.phrase, "language": params.language}) + return dict( + await chain.ainvoke({"phrase": params.phrase, "language": params.language}) + ) diff --git a/message_passing/introduction/README.md b/message_passing/introduction/README.md index 0b8be53b..7a2bd351 100644 --- a/message_passing/introduction/README.md +++ b/message_passing/introduction/README.md @@ -10,9 +10,9 @@ Then create two terminals and `cd` to this directory. Run the worker in one terminal: - poetry run python worker.py + uv run worker.py And execute the workflow in the other terminal: - poetry run python starter.py + uv run starter.py diff --git a/message_passing/safe_message_handlers/README.md b/message_passing/safe_message_handlers/README.md index 274d9cdc..069d6bca 100644 --- a/message_passing/safe_message_handlers/README.md +++ b/message_passing/safe_message_handlers/README.md @@ -12,10 +12,10 @@ To run, first see [README.md](../../README.md) for prerequisites. Then, run the following from this directory to run the worker: \ - poetry run python worker.py + uv run worker.py Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py This will start a worker to run your workflow and activities, then start a ClusterManagerWorkflow and put it through its paces. diff --git a/message_passing/update_with_start/lazy_initialization/README.md b/message_passing/update_with_start/lazy_initialization/README.md index b9f6679a..0dbe1844 100644 --- a/message_passing/update_with_start/lazy_initialization/README.md +++ b/message_passing/update_with_start/lazy_initialization/README.md @@ -8,11 +8,11 @@ To run, first see the main [README.md](../../../README.md) for prerequisites. Then run the following from this directory: - poetry run python worker.py + uv run worker.py Then, in another terminal: - poetry run python starter.py + uv run starter.py This will start a worker to run your workflow and activities, then simulate a backend application receiving requests to add items to a shopping cart, before finalizing the order. diff --git a/message_passing/waiting_for_handlers/README.md b/message_passing/waiting_for_handlers/README.md index 27fa5d7d..238c1fb8 100644 --- a/message_passing/waiting_for_handlers/README.md +++ b/message_passing/waiting_for_handlers/README.md @@ -16,11 +16,11 @@ To run, open two terminals and `cd` to this directory in them. Run the worker in one terminal: - poetry run python worker.py + uv run worker.py And run the workflow-starter code in the other terminal: - poetry run python starter.py + uv run starter.py Here's the output you'll see: diff --git a/message_passing/waiting_for_handlers_and_compensation/README.md b/message_passing/waiting_for_handlers_and_compensation/README.md index 47df3b63..2ef5fe1f 100644 --- a/message_passing/waiting_for_handlers_and_compensation/README.md +++ b/message_passing/waiting_for_handlers_and_compensation/README.md @@ -13,11 +13,11 @@ To run, open two terminals and `cd` to this directory in them. Run the worker in one terminal: - poetry run python worker.py + uv run worker.py And run the workflow-starter code in the other terminal: - poetry run python starter.py + uv run starter.py Here's the output you'll see: diff --git a/open_telemetry/README.md b/open_telemetry/README.md index c0b18a17..06df7326 100644 --- a/open_telemetry/README.md +++ b/open_telemetry/README.md @@ -4,7 +4,7 @@ This sample shows how to configure OpenTelemetry to capture workflow traces and For this sample, the optional `open_telemetry` dependency group must be included. To include, run: - poetry install --with open_telemetry + uv sync --group open-telemetry To run, first see [README.md](../README.md) for prerequisites. Then run the following to start an [Aspire](https://hub.docker.com/r/microsoft/dotnet-aspire-dashboard/) OTEL collector @@ -12,11 +12,11 @@ To run, first see [README.md](../README.md) for prerequisites. Then run the foll Now, from this directory, start the worker in its own terminal: - poetry run python worker.py + uv run worker.py Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py The workflow should complete with the hello result. diff --git a/patching/README.md b/patching/README.md index 61106f31..ac7c55c2 100644 --- a/patching/README.md +++ b/patching/README.md @@ -8,15 +8,15 @@ To run, first see [README.md](../README.md) for prerequisites. Then follow the p This stage is for existing running workflows. To simulate our initial workflow, run the worker in a separate terminal: - poetry run python worker.py --workflow initial + uv run worker.py --workflow initial Now we can start this workflow: - poetry run python starter.py --start-workflow initial-workflow-id + uv run starter.py --start-workflow initial-workflow-id This will output "Started workflow with ID initial-workflow-id and ...". Now query this workflow: - poetry run python starter.py --query-workflow initial-workflow-id + uv run starter.py --query-workflow initial-workflow-id This will output "Query result for ID initial-workflow-id: pre-patch". @@ -25,21 +25,21 @@ This will output "Query result for ID initial-workflow-id: pre-patch". This stage is for needing to run old and new workflows at the same time. To simulate our patched workflow, stop the worker from before and start it again with the patched workflow: - poetry run python worker.py --workflow patched + uv run worker.py --workflow patched Now let's start another workflow with this patched code: - poetry run python starter.py --start-workflow patched-workflow-id + uv run starter.py --start-workflow patched-workflow-id This will output "Started workflow with ID patched-workflow-id and ...". Now query the old workflow that's still running: - poetry run python starter.py --query-workflow initial-workflow-id + uv run starter.py --query-workflow initial-workflow-id This will output "Query result for ID initial-workflow-id: pre-patch" since it is pre-patch. But if we execute a query against the new code: - poetry run python starter.py --query-workflow patched-workflow-id + uv run starter.py --query-workflow patched-workflow-id We get "Query result for ID patched-workflow-id: post-patch". This is how old workflow code can take old paths and new workflow code can take new paths. @@ -50,22 +50,22 @@ Once we know that all workflows that started with the initial code from "Stage 1 the patch so we can deprecate it. To use the patch deprecated workflow, stop the workflow from before and start it again with: - poetry run python worker.py --workflow patch-deprecated + uv run worker.py --workflow patch-deprecated All workflows in "Stage 2" and any new workflows will work. Now let's start another workflow with this patch deprecated code: - poetry run python starter.py --start-workflow patch-deprecated-workflow-id + uv run starter.py --start-workflow patch-deprecated-workflow-id This will output "Started workflow with ID patch-deprecated-workflow-id and ...". Now query the patched workflow that's still running: - poetry run python starter.py --query-workflow patched-workflow-id + uv run starter.py --query-workflow patched-workflow-id This will output "Query result for ID patched-workflow-id: post-patch". And if we execute a query against the latest workflow: - poetry run python starter.py --query-workflow patch-deprecated-workflow-id + uv run starter.py --query-workflow patch-deprecated-workflow-id As expected, this will output "Query result for ID patch-deprecated-workflow-id: post-patch". @@ -75,22 +75,22 @@ Once we know we don't even have any workflows running on "Stage 2" or before (i. both code paths), we can just remove the patch deprecation altogether. To use the patch complete workflow, stop the workflow from before and start it again with: - poetry run python worker.py --workflow patch-complete + uv run worker.py --workflow patch-complete All workflows in "Stage 3" and any new workflows will work. Now let's start another workflow with this patch complete code: - poetry run python starter.py --start-workflow patch-complete-workflow-id + uv run starter.py --start-workflow patch-complete-workflow-id This will output "Started workflow with ID patch-complete-workflow-id and ...". Now query the patch deprecated workflow that's still running: - poetry run python starter.py --query-workflow patch-deprecated-workflow-id + uv run starter.py --query-workflow patch-deprecated-workflow-id This will output "Query result for ID patch-deprecated-workflow-id: post-patch". And if we execute a query against the latest workflow: - poetry run python starter.py --query-workflow patch-complete-workflow-id + uv run starter.py --query-workflow patch-complete-workflow-id As expected, this will output "Query result for ID patch-complete-workflow-id: post-patch". diff --git a/poetry.lock b/poetry.lock deleted file mode 100644 index 9313a7b9..00000000 --- a/poetry.lock +++ /dev/null @@ -1,3608 +0,0 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. - -[[package]] -name = "aiohappyeyeballs" -version = "2.4.6" -description = "Happy Eyeballs for asyncio" -optional = false -python-versions = ">=3.9" -files = [ - {file = "aiohappyeyeballs-2.4.6-py3-none-any.whl", hash = "sha256:147ec992cf873d74f5062644332c539fcd42956dc69453fe5204195e560517e1"}, - {file = "aiohappyeyeballs-2.4.6.tar.gz", hash = "sha256:9b05052f9042985d32ecbe4b59a77ae19c006a78f1344d7fdad69d28ded3d0b0"}, -] - -[[package]] -name = "aiohttp" -version = "3.11.12" -description = "Async http client/server framework (asyncio)" -optional = false -python-versions = ">=3.9" -files = [ - 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Then, run the following from this directory to run the sample: - poetry run python run_worker.py + uv run run_worker.py Then, in another terminal, run the following to execute the workflow: - poetry run python run_frequent.py + uv run run_frequent.py The Workflow will continue to poll the service and heartbeat on every iteration until it succeeds. diff --git a/polling/infrequent/README.md b/polling/infrequent/README.md index c1b06d7f..b6afeb56 100644 --- a/polling/infrequent/README.md +++ b/polling/infrequent/README.md @@ -13,11 +13,11 @@ To run, first see [README.md](../../README.md) for prerequisites. Then, run the following from this directory to run the sample: - poetry run python run_worker.py + uv run run_worker.py Then, in another terminal, run the following to execute the workflow: - poetry run python run_infrequent.py + uv run run_infrequent.py Since the test service simulates being _down_ for four polling attempts and then returns _OK_ on the fifth poll attempt, the Workflow will perform four Activity retries with a 60-second poll interval, and then return the service result on the successful fifth attempt. diff --git a/polling/periodic_sequence/README.md b/polling/periodic_sequence/README.md index f8416588..d632862d 100644 --- a/polling/periodic_sequence/README.md +++ b/polling/periodic_sequence/README.md @@ -8,11 +8,11 @@ To run, first see [README.md](../../README.md) for prerequisites. Then, run the following from this directory to run the sample: - poetry run python run_worker.py + uv run run_worker.py Then, in another terminal, run the following to execute the workflow: - poetry run python run_periodic.py + uv run run_periodic.py This will start a Workflow and Child Workflow to periodically poll an Activity. diff --git a/prometheus/README.md b/prometheus/README.md index 6f605d62..091d5171 100644 --- a/prometheus/README.md +++ b/prometheus/README.md @@ -5,13 +5,13 @@ This sample shows how to have SDK Prometheus metrics made available via HTTP. To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker and the metrics will be visible for this process at http://127.0.0.1:9000/metrics. Then, in another terminal, run the following to execute a workflow: - poetry run python starter.py + uv run starter.py After executing the workflow, the process will stay open so the metrics if this separate process can be accessed at http://127.0.0.1:9001/metrics. \ No newline at end of file diff --git a/pydantic_converter/README.md b/pydantic_converter/README.md index e621e6a9..bdbf0329 100644 --- a/pydantic_converter/README.md +++ b/pydantic_converter/README.md @@ -4,16 +4,16 @@ This sample shows how to use the Pydantic data converter. For this sample, the optional `pydantic_converter` dependency group must be included. To include, run: - poetry install --with pydantic_converter + uv sync --group pydantic-converter To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py In the worker terminal, the workflow and its activity will log that it received the Pydantic models. In the starter terminal, the Pydantic models in the workflow result will be logged. diff --git a/pydantic_converter_v1/README.md b/pydantic_converter_v1/README.md index ab7e8212..a38b00fc 100644 --- a/pydantic_converter_v1/README.md +++ b/pydantic_converter_v1/README.md @@ -5,18 +5,18 @@ main [pydantic_converter](../pydantic_converter/README.md) sample.** To install, run: - poetry install --with pydantic_converter - poetry run pip uninstall pydantic pydantic-core - poetry run pip install pydantic==1.10 + uv sync --group pydantic-converter + uv run pip uninstall pydantic pydantic-core + uv run pip install pydantic==1.10 To run, first see the root [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py In the worker terminal, the workflow and its activity will log that it received the Pydantic models. In the starter terminal, the Pydantic models in the workflow result will be logged. diff --git a/pyproject.toml b/pyproject.toml index d7cbab09..5fd96a81 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,91 +1,127 @@ -[tool.poetry] +[project] name = "temporalio-samples" version = "0.1a1" description = "Temporal.io Python SDK samples" -license = "MIT" -authors = ["Temporal Technologies Inc "] +authors = [{ name = "Temporal Technologies Inc", email = "sdk@temporal.io" }] +requires-python = "~=3.9" readme = "README.md" -homepage = "https://github.com/temporalio/samples-python" -repository = "https://github.com/temporalio/samples-python" -documentation = "https://docs.temporal.io/docs/python" -packages = [ - { include = "**/*.py", from = "." } -] +license = "MIT" +dependencies = ["temporalio>=1.10.0,<2"] -[tool.poetry.urls] +[project.urls] +Homepage = "https://github.com/temporalio/samples-python" +Repository = "https://github.com/temporalio/samples-python" +Documentation = "https://docs.temporal.io/docs/python" "Bug Tracker" = "https://github.com/temporalio/samples-python/issues" -[tool.poetry.dependencies] -python = "^3.9" -temporalio = "^1.10.0" - -[tool.poetry.dev-dependencies] -black = "^22.3.0" -isort = "^5.10.1" -mypy = "^1.4.1" -pytest = "^7.1.2" -pytest-asyncio = "^0.18.3" -frozenlist = "^1.4.0" -types-pyyaml = "^6.0.12.20241230" - - -# All sample-specific dependencies are in optional groups below, named after the -# sample they apply to - -[tool.poetry.group.bedrock] -optional = true -[tool.poetry.group.bedrock.dependencies] -boto3 = "^1.34.92" - -[tool.poetry.group.dsl] -optional = true -dependencies = { pyyaml = "^6.0.1", types-pyyaml = "^6.0.12", dacite = "^1.8.1" } - -[tool.poetry.group.encryption] -optional = true -dependencies = { cryptography = "^38.0.1", aiohttp = "^3.8.1" } - -[tool.poetry.group.gevent] -optional = true -dependencies = { gevent = { version = "^23.9.1", python = ">=3.8" } } +[dependency-groups] +dev = [ + "black>=22.3.0,<23", + "isort>=5.10.1,<6", + "mypy>=1.4.1,<2", + "pytest>=7.1.2,<8", + "pytest-asyncio>=0.18.3,<0.19", + "frozenlist>=1.4.0,<2", + "types-pyyaml>=6.0.12.20241230,<7", +] +bedrock = ["boto3>=1.34.92,<2"] +dsl = [ + "pyyaml>=6.0.1,<7", + "types-pyyaml>=6.0.12,<7", + "dacite>=1.8.1,<2", +] +encryption = [ + "cryptography>=38.0.1,<39", + "aiohttp>=3.8.1,<4", +] +gevent = ["gevent>=23.9.1,<24 ; python_version >= '3.8'"] +langchain = [ + "langchain>=0.1.7,<0.2 ; python_version >= '3.8.1' and python_version < '4.0'", + "langchain-openai>=0.0.6,<0.0.7 ; python_version >= '3.8.1' and python_version < '4.0'", + "openai>=1.4.0,<2", + "fastapi>=0.105.0,<0.106", + "tqdm>=4.62.0,<5", + "uvicorn[standard]>=0.24.0.post1,<0.25", +] +open-telemetry = [ + "temporalio[opentelemetry]", + "opentelemetry-exporter-otlp-proto-grpc==1.18.0", +] +pydantic-converter = ["pydantic>=2.10.6,<3"] +sentry = ["sentry-sdk>=1.11.0,<2"] +trio-async = [ + "trio>=0.28.0,<0.29", + "trio-asyncio>=0.15.0,<0.16", +] +cloud-export-to-parquet = [ + "pandas>=2.2.2,<3 ; python_version >= '3.9' and python_version < '4.0'", + "numpy>=1.26.0,<2 ; python_version >= '3.9' and python_version < '3.13'", + "boto3>=1.34.89,<2", + "pyarrow>=19.0.1", +] -[tool.poetry.group.langchain] -optional = true -[tool.poetry.group.langchain.dependencies] -langchain = {version = "^0.1.7", python = ">=3.8.1,<4.0"} -langchain-openai = {version = "^0.0.6", python = ">=3.8.1,<4.0"} -openai = "^1.4.0" -fastapi = "^0.105.0" -tqdm = "^4.62.0" -uvicorn = { version = "^0.24.0.post1", extras = ["standard"]} +[tool.uv] +default-groups = [ + "dev", + "bedrock", + "dsl", + "encryption", + "gevent", + "langchain", + "open-telemetry", + "pydantic-converter", + "sentry", + "trio-async", +] -[tool.poetry.group.open_telemetry] -optional = true -[tool.poetry.group.open_telemetry.dependencies] -temporalio = { version = "*", extras = ["opentelemetry"] } -opentelemetry-exporter-otlp-proto-grpc = "1.18.0" +[tool.hatch.build.targets.sdist] +include = ["./**/*.py"] -[tool.poetry.group.pydantic_converter] -optional = true -dependencies = { pydantic = "^2.10.6" } +[tool.hatch.build.targets.wheel] +include = ["./**/*.py"] +packages = [ + "activity_worker", + "bedrock", + "cloud_export_to_parquet", + "context_propagation", + "custom_converter", + "custom_decorator", + "dsl", + "encryption", + "gevent_async", + "hello", + "langchain", + "message_passing", + "open_telemetry", + "patching", + "polling", + "prometheus", + "pydantic_converter", + "pydantic_converter_v1", + "pyproject.toml", + "replay", + "schedules", + "sentry", + "sleep_for_days", + "tests", + "trio_async", + "updatable_timer", + "worker_specific_task_queues", + "worker_versioning", +] -[tool.poetry.group.sentry] -optional = true -dependencies = { sentry-sdk = "^1.11.0" } +[tool.hatch.build.targets.wheel.sources] +"./**/*.py" = "**/*.py" -[tool.poetry.group.trio_async] -optional = true -dependencies = { trio = "^0.28.0", trio-asyncio = "^0.15.0" } +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" [tool.poe.tasks] -format = [{cmd = "black ."}, {cmd = "isort ."}] -lint = [{cmd = "black --check ."}, {cmd = "isort --check-only ."}, {ref = "lint-types" }] -lint-types = "mypy --check-untyped-defs --namespace-packages ." -test = "pytest" - -[build-system] -requires = ["poetry-core>=1.0.0"] -build-backend = "poetry.core.masonry.api" +format = [{cmd = "uv run black ."}, {cmd = "uv run isort ."}] +lint = [{cmd = "uv run black --check ."}, {cmd = "uv run isort --check-only ."}, {ref = "lint-types" }] +lint-types = "uv run mypy --check-untyped-defs --namespace-packages ." +test = "uv run pytest" [tool.pytest.ini_options] asyncio_mode = "auto" @@ -109,11 +145,3 @@ ignore_errors = true module = "opentelemetry.*" ignore_errors = true -[tool.poetry.group.cloud_export_to_parquet] -optional = true -[tool.poetry.group.cloud_export_to_parquet.dependencies] -pandas = {version = "^2.2.2",python = ">=3.9,<4.0"} -numpy = {version = "^1.26.0",python = ">=3.9,<3.13"} -pyarrow = "^16.0.0" -boto3 = "^1.34.89" - diff --git a/replay/README.md b/replay/README.md index 3a67868a..4b220f9d 100644 --- a/replay/README.md +++ b/replay/README.md @@ -6,15 +6,15 @@ workflow histories. To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute a workflow: - poetry run python starter.py + uv run starter.py Next, run the replayer: - poetry run python replayer.py + uv run replayer.py Which should produce some output like: diff --git a/schedules/README.md b/schedules/README.md index 9bf40ca0..8327d769 100644 --- a/schedules/README.md +++ b/schedules/README.md @@ -4,18 +4,18 @@ These samples show how to schedule a Workflow Execution and control certain acti To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to run the `schedules/` sample: - poetry run python run_worker.py - poetry run python start_schedule.py + uv run run_worker.py + uv run start_schedule.py Replace `start_schedule.py` in the command with any other example filename to run it instead. - poetry run python backfill_schedule.py - poetry run python delete_schedule.py - poetry run python describe_schedule.py - poetry run python list_schedule.py - poetry run python pause_schedule.py + uv run backfill_schedule.py + uv run delete_schedule.py + uv run describe_schedule.py + uv run list_schedule.py + uv run pause_schedule.py python run python trigger_schedule.py - poetry run python update_schedule.py + uv run update_schedule.py - create: Creates a new Schedule. Newly created Schedules return a Schedule ID to be used in other Schedule commands. - backfill: Backfills the Schedule by going through the specified time periods as if they passed right now. diff --git a/sentry/README.md b/sentry/README.md index 45977731..30667d5e 100644 --- a/sentry/README.md +++ b/sentry/README.md @@ -4,16 +4,16 @@ This sample shows how to configure [Sentry](https://sentry.io) to intercept and For this sample, the optional `sentry` dependency group must be included. To include, run: - poetry install --with sentry + uv sync --group sentry To run, first see [README.md](../README.md) for prerequisites. Set `SENTRY_DSN` environment variable to the Sentry DSN. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py The workflow should complete with the hello result. If you alter the workflow or the activity to raise an `ApplicationError` instead, it should appear in Sentry. \ No newline at end of file diff --git a/sleep_for_days/README.md b/sleep_for_days/README.md index 4ae1d2dc..766aefc9 100644 --- a/sleep_for_days/README.md +++ b/sleep_for_days/README.md @@ -8,11 +8,11 @@ Then create two terminals and `cd` to this directory. Run the worker in one terminal: - poetry run python worker.py + uv run worker.py And execute the workflow in the other terminal: - poetry run python starter.py + uv run starter.py This sample will run indefinitely until you send a signal to `complete`. See how to send a signal via Temporal CLI [here](https://docs.temporal.io/cli/workflow#signal). diff --git a/trio_async/README.md b/trio_async/README.md index 01bc2870..01891215 100644 --- a/trio_async/README.md +++ b/trio_async/README.md @@ -7,16 +7,16 @@ activities. For this sample, the optional `trio_async` dependency group must be included. To include, run: - poetry install --with trio_async + uv sync --group trio_async To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py The starter should complete with: diff --git a/updatable_timer/README.md b/updatable_timer/README.md index 477b36c0..04960265 100644 --- a/updatable_timer/README.md +++ b/updatable_timer/README.md @@ -11,7 +11,7 @@ The sample is composed of the three executables: First start the Worker: ```bash -poetry run python worker.py +uv run worker.py ``` Check the output of the Worker window. The expected output is: @@ -22,7 +22,7 @@ Worker started, ctrl+c to exit Then in a different terminal window start the Workflow Execution: ```bash -poetry run python starter.py +uv run starter.py ``` Check the output of the Worker window. The expected output is: ``` @@ -32,7 +32,7 @@ Workflow started: run_id=... Then run the updater as many times as you want to change timer to 10 seconds from now: ```bash -poetry run python wake_up_time_updater.py +uv run wake_up_time_updater.py ``` Check the output of the worker window. 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b/worker_specific_task_queues/README.md index 8e8e577a..01f72890 100644 --- a/worker_specific_task_queues/README.md +++ b/worker_specific_task_queues/README.md @@ -24,16 +24,16 @@ Activities have been artificially slowed with `time.sleep(3)` to simulate doing To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory to start the worker: - poetry run python worker.py + uv run worker.py This will start the worker. Then, in another terminal, run the following to execute the workflow: - poetry run python starter.py + uv run starter.py #### Example output: ```bash -(temporalio-samples-py3.10) user@machine:~/samples-python/activities_sticky_queues$ poetry run python starter.py +(temporalio-samples-py3.10) user@machine:~/samples-python/activities_sticky_queues$ uv run starter.py Output checksums: 49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 49d7419e6cba3575b3158f62d053f922aa08b23c64f05411cda3213b56c84ba4 diff --git a/worker_versioning/README.md b/worker_versioning/README.md index 04f958bf..21af863f 100644 --- a/worker_versioning/README.md +++ b/worker_versioning/README.md @@ -5,7 +5,7 @@ feature to deploy incompatible changes to workflow code more easily. To run, first see [README.md](../README.md) for prerequisites. Then, run the following from this directory: - poetry run python example.py + uv run example.py This will add some Build IDs to a Task Queue, and will also run Workers with those versions to show how you can mark add versions, mark them as compatible (or not) with one another, and run Workers at specific versions. You'll From 1b6145a93efff1040d20242dbf8614c72e9754c1 Mon Sep 17 00:00:00 2001 From: Nathan Glass Date: Wed, 16 Apr 2025 08:11:01 -0700 Subject: [PATCH 79/84] Add a sample that uses a workflow to lock resources (#172) * Add a sample resource locking workflow * Fix a code snippet in README.md * Clean up imports, exercise continue_as_new behavior * Rename the workflows for clarity, improve README * Remove spurious logging comment * poe format * poe lint * Borrow the random signal name trick from other samples * Simplify allocation algorithm * Add 'async with' syntactic sugar * Update readme * poe lint/fmt * Add a test * method rename * renames * type hints for all returns * handle substantive PR feedback * clean up imports * PR feedback (no move yet) * Move the resource pool client * Handle assignment signal failures * format/lint * PR feedback (move resource_pool_workflow, misc factoring) --- resource_pool/README.md | 48 ++++++ resource_pool/__init__.py | 0 resource_pool/pool_client/__init__.py | 2 + .../pool_client/resource_pool_client.py | 101 ++++++++++++ .../pool_client/resource_pool_workflow.py | 149 ++++++++++++++++++ resource_pool/resource_user_workflow.py | 88 +++++++++++ resource_pool/shared.py | 31 ++++ resource_pool/starter.py | 66 ++++++++ resource_pool/worker.py | 31 ++++ tests/resource_pool/__init__.py | 0 tests/resource_pool/workflow_test.py | 120 ++++++++++++++ 11 files changed, 636 insertions(+) create mode 100644 resource_pool/README.md create mode 100644 resource_pool/__init__.py create mode 100644 resource_pool/pool_client/__init__.py create mode 100644 resource_pool/pool_client/resource_pool_client.py create mode 100644 resource_pool/pool_client/resource_pool_workflow.py create mode 100644 resource_pool/resource_user_workflow.py create mode 100644 resource_pool/shared.py create mode 100644 resource_pool/starter.py create mode 100644 resource_pool/worker.py create mode 100644 tests/resource_pool/__init__.py create mode 100644 tests/resource_pool/workflow_test.py diff --git a/resource_pool/README.md b/resource_pool/README.md new file mode 100644 index 00000000..143de0f3 --- /dev/null +++ b/resource_pool/README.md @@ -0,0 +1,48 @@ +# Resource Pool Sample + +This sample shows how to use a long-lived `ResourcePoolWorkflow` to allocate `resources` to `ResourceUserWorkflows`. +Each `ResourceUserWorkflow` runs several activities while it has ownership of a resource. Note that +`ResourcePoolWorkflow` is making resource allocation decisions based on in-memory state. + +Run the following from this directory to start the worker: + + uv run worker.py + +This will start the worker. Then, in another terminal, run the following to execute several `ResourceUserWorkflows`. + + uv run starter.py + +You should see output indicating that the `ResourcePoolWorkflow` serialized access to each resource. + +You can query the set of current resource resource holders with: + + tctl wf query -w resource_pool --qt get_current_holders + +# Other approaches + +There are simpler ways to manage concurrent access to resources. Consider using resource-specific workers/task queues, +and limiting the number of activity slots on the workers. The golang SDK also [sessions](https://docs.temporal.io/develop/go/sessions) +that allow workflows to pin themselves to workers. + +The technique in this sample is capable of more complex resource allocation than the options above, but it doesn't scale +as well. Specifically, it can: +- Manage access to a set of resources that is decoupled from the set of workers and task queues +- Run arbitrary code to place workloads on resources as they become available + +# Caveats + +This sample uses true locking (not leasing!) to avoid complexity and scaling concerns associated with heartbeating via +signals. Locking carries a risk where failure to unlock permanently removing a resource from the pool. However, with +Temporal's durable execution guarantees, this can only happen if: + +- A ResourceUserWorkflows times out (prohibited in the sample code) +- An operator terminates a ResourceUserWorkflows. (Temporal recommends canceling workflows instead of terminating them whenever possible.) +- You shut down your workers and never restart them (unhandled, but irrelevant) + +If a leak were to happen, you could discover the identity of the leaker using the query above, then: + + tctl wf signal -w resource_pool --name release_resource --input '{ "release_key": "" } + +Performance: A single ResourcePoolWorkflow scales to tens, but not hundreds, of request/release events per second. It is +best suited for allocating resources to long-running workflows. Actual performance will depend on your temporal server's +persistence layer. \ No newline at end of file diff --git a/resource_pool/__init__.py b/resource_pool/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/resource_pool/pool_client/__init__.py b/resource_pool/pool_client/__init__.py new file mode 100644 index 00000000..b8471d8a --- /dev/null +++ b/resource_pool/pool_client/__init__.py @@ -0,0 +1,2 @@ +from .resource_pool_client import ResourcePoolClient +from .resource_pool_workflow import ResourcePoolWorkflow diff --git a/resource_pool/pool_client/resource_pool_client.py b/resource_pool/pool_client/resource_pool_client.py new file mode 100644 index 00000000..b7183afa --- /dev/null +++ b/resource_pool/pool_client/resource_pool_client.py @@ -0,0 +1,101 @@ +from contextlib import asynccontextmanager +from datetime import timedelta +from typing import AsyncGenerator, Optional + +from temporalio import workflow + +from resource_pool.pool_client.resource_pool_workflow import ResourcePoolWorkflow +from resource_pool.shared import ( + AcquiredResource, + AcquireRequest, + AcquireResponse, + DetachedResource, +) + + +# Use this class in workflow code that that needs to run on locked resources. +class ResourcePoolClient: + def __init__(self, pool_workflow_id: str) -> None: + self.pool_workflow_id = pool_workflow_id + self.acquired_resources: list[AcquiredResource] = [] + + signal_name = f"assign_resource_{self.pool_workflow_id}" + if workflow.get_signal_handler(signal_name) is None: + workflow.set_signal_handler(signal_name, self._handle_acquire_response) + else: + raise RuntimeError( + f"{signal_name} already registered - if you use multiple ResourcePoolClients within the " + f"same workflow, they must use different pool_workflow_ids" + ) + + def _handle_acquire_response(self, response: AcquireResponse) -> None: + self.acquired_resources.append( + AcquiredResource( + resource=response.resource, release_key=response.release_key + ) + ) + + async def _send_acquire_signal(self) -> None: + await workflow.get_external_workflow_handle_for( + ResourcePoolWorkflow.run, self.pool_workflow_id + ).signal("acquire_resource", AcquireRequest(workflow.info().workflow_id)) + + async def _send_release_signal(self, acquired_resource: AcquiredResource) -> None: + await workflow.get_external_workflow_handle_for( + ResourcePoolWorkflow.run, self.pool_workflow_id + ).signal( + "release_resource", + AcquireResponse( + resource=acquired_resource.resource, + release_key=acquired_resource.release_key, + ), + ) + + @asynccontextmanager + async def acquire_resource( + self, + *, + reattach: Optional[DetachedResource] = None, + max_wait_time: timedelta = timedelta(minutes=5), + ) -> AsyncGenerator[AcquiredResource, None]: + _warn_when_workflow_has_timeouts() + + if reattach is None: + await self._send_acquire_signal() + await workflow.wait_condition( + lambda: len(self.acquired_resources) > 0, timeout=max_wait_time + ) + resource = self.acquired_resources.pop(0) + else: + resource = AcquiredResource( + resource=reattach.resource, release_key=reattach.release_key + ) + + # Can't happen, but the typechecker doesn't know about workflow.wait_condition + if resource is None: + raise RuntimeError("resource was None when it can't be") + + # During the yield, the calling workflow owns the resource. Note that this is a lock, not a lease! Our + # finally block will release the resource if an activity fails. This is why we asserted the lack of + # workflow-level timeouts above - the finally block wouldn't run if there was a timeout. + try: + yield resource + finally: + if not resource.detached: + await self._send_release_signal(resource) + + +def _warn_when_workflow_has_timeouts() -> None: + def has_timeout(timeout: Optional[timedelta]) -> bool: + # After continue_as_new, timeouts are 0, even if they were None before continue_as_new (and were not set in the + # continue_as_new call). + return timeout is not None and timeout > timedelta(0) + + if has_timeout(workflow.info().run_timeout): + workflow.logger.warning( + f"ResourceLockingWorkflow cannot have a run_timeout (found {workflow.info().run_timeout}) - this will leak locks" + ) + if has_timeout(workflow.info().execution_timeout): + workflow.logger.warning( + f"ResourceLockingWorkflow cannot have an execution_timeout (found {workflow.info().execution_timeout}) - this will leak locks" + ) diff --git a/resource_pool/pool_client/resource_pool_workflow.py b/resource_pool/pool_client/resource_pool_workflow.py new file mode 100644 index 00000000..2321f82d --- /dev/null +++ b/resource_pool/pool_client/resource_pool_workflow.py @@ -0,0 +1,149 @@ +from dataclasses import dataclass +from typing import Optional + +from temporalio import workflow +from temporalio.exceptions import ApplicationError + +from resource_pool.shared import AcquireRequest, AcquireResponse + + +# Internal to this workflow, we'll associate randomly generated release signal names with each acquire request. +@dataclass +class InternalAcquireRequest(AcquireRequest): + release_signal: Optional[str] + + +@dataclass +class ResourcePoolWorkflowInput: + # Key is resource, value is current holder of the resource (None if not held) + resources: dict[str, Optional[InternalAcquireRequest]] + waiters: list[InternalAcquireRequest] + + +@workflow.defn +class ResourcePoolWorkflow: + @workflow.init + def __init__(self, input: ResourcePoolWorkflowInput) -> None: + self.resources = input.resources + self.waiters = input.waiters + self.release_key_to_resource: dict[str, str] = {} + + for resource, holder in self.resources.items(): + if holder is not None and holder.release_signal is not None: + self.release_key_to_resource[holder.release_signal] = resource + + @workflow.signal + async def add_resources(self, resources: list[str]) -> None: + for resource in resources: + if resource in self.resources: + workflow.logger.warning( + f"Ignoring attempt to add already-existing resource: {resource}" + ) + else: + self.resources[resource] = None + + @workflow.signal + async def acquire_resource(self, request: AcquireRequest) -> None: + self.waiters.append( + InternalAcquireRequest(workflow_id=request.workflow_id, release_signal=None) + ) + workflow.logger.info( + f"workflow_id={request.workflow_id} is waiting for a resource" + ) + + @workflow.signal + async def release_resource(self, acquire_response: AcquireResponse) -> None: + release_key = acquire_response.release_key + resource = self.release_key_to_resource.get(release_key) + if resource is None: + workflow.logger.warning(f"Ignoring unknown release_key: {release_key}") + return + + holder = self.resources[resource] + if holder is None: + workflow.logger.warning( + f"Ignoring request to release resource that is not held: {resource}" + ) + return + + # Remove the current holder + workflow.logger.info( + f"workflow_id={holder.workflow_id} released resource {resource}" + ) + self.resources[resource] = None + del self.release_key_to_resource[release_key] + + @workflow.query + def get_current_holders(self) -> dict[str, Optional[InternalAcquireRequest]]: + return self.resources + + async def assign_resource( + self, resource: str, internal_request: InternalAcquireRequest + ) -> None: + workflow.logger.info( + f"workflow_id={internal_request.workflow_id} acquired resource {resource}" + ) + + requester = workflow.get_external_workflow_handle(internal_request.workflow_id) + try: + release_signal = str(workflow.uuid4()) + await requester.signal( + f"assign_resource_{workflow.info().workflow_id}", + AcquireResponse(release_key=release_signal, resource=resource), + ) + + internal_request.release_signal = release_signal + self.resources[resource] = internal_request + self.release_key_to_resource[release_signal] = resource + except ApplicationError as e: + if e.type == "ExternalWorkflowExecutionNotFound": + workflow.logger.info( + f"Could not assign resource {resource} to {internal_request.workflow_id}: {e.message}" + ) + else: + raise e + + async def assign_next_resource(self) -> bool: + if len(self.waiters) == 0: + return False + + next_free_resource = self.get_free_resource() + if next_free_resource is None: + return False + + next_waiter = self.waiters.pop(0) + await self.assign_resource(next_free_resource, next_waiter) + return True + + def get_free_resource(self) -> Optional[str]: + return next( + (resource for resource, holder in self.resources.items() if holder is None), + None, + ) + + def can_assign_resource(self) -> bool: + return len(self.waiters) > 0 and self.get_free_resource() is not None + + def should_continue_as_new(self) -> bool: + return ( + workflow.info().is_continue_as_new_suggested() + and workflow.all_handlers_finished() + ) + + @workflow.run + async def run(self, _: ResourcePoolWorkflowInput) -> None: + while True: + await workflow.wait_condition( + lambda: self.can_assign_resource() or self.should_continue_as_new() + ) + + if await self.assign_next_resource(): + continue + + if self.should_continue_as_new(): + workflow.continue_as_new( + ResourcePoolWorkflowInput( + resources=self.resources, + waiters=self.waiters, + ) + ) diff --git a/resource_pool/resource_user_workflow.py b/resource_pool/resource_user_workflow.py new file mode 100644 index 00000000..80ee7fba --- /dev/null +++ b/resource_pool/resource_user_workflow.py @@ -0,0 +1,88 @@ +import asyncio +from dataclasses import dataclass, field +from datetime import timedelta +from typing import Optional + +from temporalio import activity, workflow + +from resource_pool.pool_client import ResourcePoolClient +from resource_pool.shared import DetachedResource + + +@dataclass +class UseResourceActivityInput: + resource: str + iteration: str + + +@activity.defn +async def use_resource(input: UseResourceActivityInput) -> None: + info = activity.info() + activity.logger.info( + f"{info.workflow_id} starts using {input.resource} the {input.iteration} time" + ) + await asyncio.sleep(3) + activity.logger.info( + f"{info.workflow_id} done using {input.resource} the {input.iteration} time" + ) + + +@dataclass +class ResourceUserWorkflowInput: + # The id of the resource pool workflow to request a resource from + resource_pool_workflow_id: str + + # If set, this workflow will fail after the "first" or "second" activity. + iteration_to_fail_after: Optional[str] + + # If True, this workflow will continue as new after the last activity. The next iteration will run more activities, + # but will not continue as new. + should_continue_as_new: bool + + # Used to transfer resource ownership between iterations during continue_as_new + already_acquired_resource: Optional[DetachedResource] = field(default=None) + + +class FailWorkflowException(Exception): + pass + + +# Wait this long for a resource before giving up +MAX_RESOURCE_WAIT_TIME = timedelta(minutes=5) + + +@workflow.defn(failure_exception_types=[FailWorkflowException]) +class ResourceUserWorkflow: + @workflow.run + async def run(self, input: ResourceUserWorkflowInput) -> None: + pool_client = ResourcePoolClient(input.resource_pool_workflow_id) + + async with pool_client.acquire_resource( + reattach=input.already_acquired_resource + ) as acquired_resource: + for iteration in ["first", "second"]: + await workflow.execute_activity( + use_resource, + UseResourceActivityInput(acquired_resource.resource, iteration), + start_to_close_timeout=timedelta(seconds=10), + ) + + if iteration == input.iteration_to_fail_after: + workflow.logger.info( + f"Failing after iteration {input.iteration_to_fail_after}" + ) + raise FailWorkflowException() + + # This workflow only continues as new so it can demonstrate how to pass acquired resources across + # iterations. Ordinarily, such a short workflow would not use continue as new. + if input.should_continue_as_new: + detached_resource = acquired_resource.detach() + + next_input = ResourceUserWorkflowInput( + resource_pool_workflow_id=input.resource_pool_workflow_id, + iteration_to_fail_after=input.iteration_to_fail_after, + should_continue_as_new=False, + already_acquired_resource=detached_resource, + ) + + workflow.continue_as_new(next_input) diff --git a/resource_pool/shared.py b/resource_pool/shared.py new file mode 100644 index 00000000..3930bb72 --- /dev/null +++ b/resource_pool/shared.py @@ -0,0 +1,31 @@ +from dataclasses import dataclass, field + +RESOURCE_POOL_WORKFLOW_ID = "resource_pool" + + +@dataclass +class AcquireRequest: + workflow_id: str + + +@dataclass +class AcquireResponse: + release_key: str + resource: str + + +@dataclass +class DetachedResource: + resource: str + release_key: str + + +@dataclass +class AcquiredResource: + resource: str + release_key: str + detached: bool = field(default=False) + + def detach(self) -> DetachedResource: + self.detached = True + return DetachedResource(resource=self.resource, release_key=self.release_key) diff --git a/resource_pool/starter.py b/resource_pool/starter.py new file mode 100644 index 00000000..2ae1ab44 --- /dev/null +++ b/resource_pool/starter.py @@ -0,0 +1,66 @@ +import asyncio +from typing import Any + +from temporalio.client import Client, WorkflowFailureError, WorkflowHandle +from temporalio.common import WorkflowIDConflictPolicy + +from resource_pool.pool_client.resource_pool_workflow import ( + ResourcePoolWorkflow, + ResourcePoolWorkflowInput, +) +from resource_pool.resource_user_workflow import ( + ResourceUserWorkflow, + ResourceUserWorkflowInput, +) +from resource_pool.shared import RESOURCE_POOL_WORKFLOW_ID + + +async def main() -> None: + # Connect client + client = await Client.connect("localhost:7233") + + # Initialize the resource pool + resource_pool_handle = await client.start_workflow( + workflow=ResourcePoolWorkflow.run, + arg=ResourcePoolWorkflowInput( + resources={"resource_a": None, "resource_b": None}, + waiters=[], + ), + id=RESOURCE_POOL_WORKFLOW_ID, + task_queue="resource_pool-task-queue", + id_conflict_policy=WorkflowIDConflictPolicy.USE_EXISTING, + ) + + # Start the ResourceUserWorkflows + resource_user_handles: list[WorkflowHandle[Any, Any]] = [] + for i in range(0, 4): + input = ResourceUserWorkflowInput( + resource_pool_workflow_id=RESOURCE_POOL_WORKFLOW_ID, + iteration_to_fail_after=None, + should_continue_as_new=False, + ) + if i == 0: + input.should_continue_as_new = True + if i == 1: + input.iteration_to_fail_after = "first" + + handle = await client.start_workflow( + workflow=ResourceUserWorkflow.run, + arg=input, + id=f"resource-user-workflow-{i}", + task_queue="resource_pool-task-queue", + ) + resource_user_handles.append(handle) + + for handle in resource_user_handles: + try: + await handle.result() + except WorkflowFailureError: + pass + + # Clean up after ourselves. In the real world, the resource pool workflow would run forever. + await resource_pool_handle.terminate() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/resource_pool/worker.py b/resource_pool/worker.py new file mode 100644 index 00000000..cb3a06dd --- /dev/null +++ b/resource_pool/worker.py @@ -0,0 +1,31 @@ +import asyncio +import logging + +from temporalio.client import Client +from temporalio.worker import Worker + +from resource_pool.pool_client.resource_pool_workflow import ResourcePoolWorkflow +from resource_pool.resource_user_workflow import ResourceUserWorkflow, use_resource + + +async def main() -> None: + logging.basicConfig(level=logging.INFO) + + # Start client + client = await Client.connect("localhost:7233") + + # Run a worker for the workflow + worker = Worker( + client, + task_queue="resource_pool-task-queue", + workflows=[ResourcePoolWorkflow, ResourceUserWorkflow], + activities=[ + use_resource, + ], + ) + + await worker.run() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/tests/resource_pool/__init__.py b/tests/resource_pool/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/resource_pool/workflow_test.py b/tests/resource_pool/workflow_test.py new file mode 100644 index 00000000..42a6fbde --- /dev/null +++ b/tests/resource_pool/workflow_test.py @@ -0,0 +1,120 @@ +import asyncio +from collections import defaultdict +from typing import Any, Optional, Sequence + +from temporalio import activity +from temporalio.client import Client, WorkflowFailureError, WorkflowHandle +from temporalio.common import WorkflowIDConflictPolicy +from temporalio.worker import Worker + +from resource_pool.pool_client.resource_pool_workflow import ( + ResourcePoolWorkflow, + ResourcePoolWorkflowInput, +) +from resource_pool.resource_user_workflow import ( + ResourceUserWorkflow, + ResourceUserWorkflowInput, + UseResourceActivityInput, +) +from resource_pool.shared import RESOURCE_POOL_WORKFLOW_ID + +TASK_QUEUE = "resource_pool-task-queue" + + +async def test_resource_pool_workflow(client: Client): + # key is resource, value is a description of resource usage + resource_usage: defaultdict[str, list[Sequence[str]]] = defaultdict(list) + + # Mock out the activity to count executions + @activity.defn(name="use_resource") + async def use_resource_mock(input: UseResourceActivityInput) -> None: + workflow_id = activity.info().workflow_id + resource_usage[input.resource].append((workflow_id, "start")) + # We need a small sleep here to bait out races + await asyncio.sleep(0.05) + resource_usage[input.resource].append((workflow_id, "end")) + + async with Worker( + client, + task_queue=TASK_QUEUE, + workflows=[ResourcePoolWorkflow, ResourceUserWorkflow], + activities=[use_resource_mock], + ): + await run_all_workflows(client) + + # Did any workflow run in more than one place? + workflow_id_to_resource: dict[str, str] = {} + for resource, events in resource_usage.items(): + for workflow_id, event in events: + if workflow_id in workflow_id_to_resource: + existing_resource = workflow_id_to_resource[workflow_id] + assert ( + existing_resource == resource + ), f"{workflow_id} ran on both {resource} and {existing_resource}" + else: + workflow_id_to_resource[workflow_id] = resource + + # Did any resource have more than one workflow on it at a time? + for resource, events in resource_usage.items(): + holder: Optional[str] = None + for workflow_id, event in events: + if event == "start": + assert ( + holder is None + ), f"{workflow_id} started on {resource} held by {holder}" + holder = workflow_id + else: + assert ( + holder == workflow_id + ), f"{workflow_id} ended on {resource} held by {holder}" + holder = None + + # Are all the resources free, per the query? + handle: WorkflowHandle[ + ResourcePoolWorkflow, None + ] = client.get_workflow_handle_for( + ResourcePoolWorkflow.run, RESOURCE_POOL_WORKFLOW_ID + ) + query_result = await handle.query(ResourcePoolWorkflow.get_current_holders) + assert query_result == {"r_a": None, "r_b": None, "r_c": None} + + +async def run_all_workflows(client: Client): + resource_pool_handle = await client.start_workflow( + workflow=ResourcePoolWorkflow.run, + arg=ResourcePoolWorkflowInput( + resources={"r_a": None, "r_b": None, "r_c": None}, + waiters=[], + ), + id=RESOURCE_POOL_WORKFLOW_ID, + task_queue=TASK_QUEUE, + id_conflict_policy=WorkflowIDConflictPolicy.USE_EXISTING, + ) + + resource_user_handles: list[WorkflowHandle[Any, Any]] = [] + for i in range(0, 8): + input = ResourceUserWorkflowInput( + resource_pool_workflow_id=RESOURCE_POOL_WORKFLOW_ID, + iteration_to_fail_after=None, + should_continue_as_new=False, + ) + if i == 0: + input.should_continue_as_new = True + if i == 1: + input.iteration_to_fail_after = "first" + + handle = await client.start_workflow( + workflow=ResourceUserWorkflow.run, + arg=input, + id=f"resource-user-workflow-{i}", + task_queue=TASK_QUEUE, + ) + resource_user_handles.append(handle) + + for handle in resource_user_handles: + try: + await handle.result() + except WorkflowFailureError: + pass + + await resource_pool_handle.terminate() From 0fecc6ee706f87e0dc6fcf35e1c7f4a515755fd6 Mon Sep 17 00:00:00 2001 From: Grant <14.gsmith.14@gmail.com> Date: Mon, 21 Apr 2025 12:09:39 -0500 Subject: [PATCH 80/84] added custom metric sample (#177) --- .gitignore | 2 + README.md | 1 + custom_metric/README.md | 36 ++++++++++++++ custom_metric/__init__.py | 0 custom_metric/activity.py | 9 ++++ custom_metric/starter.py | 23 +++++++++ custom_metric/worker.py | 71 ++++++++++++++++++++++++++++ custom_metric/workflow.py | 25 ++++++++++ pyproject.toml | 1 + tests/custom_metric/__init__.py | 0 tests/custom_metric/workflow_test.py | 32 +++++++++++++ 11 files changed, 200 insertions(+) create mode 100644 custom_metric/README.md create mode 100644 custom_metric/__init__.py create mode 100644 custom_metric/activity.py create mode 100644 custom_metric/starter.py create mode 100644 custom_metric/worker.py create mode 100644 custom_metric/workflow.py create mode 100644 tests/custom_metric/__init__.py create mode 100644 tests/custom_metric/workflow_test.py diff --git a/.gitignore b/.gitignore index 5c5ffffd..41afe5f8 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,5 @@ .venv .idea __pycache__ +.vscode +.DS_Store diff --git a/README.md b/README.md index 832e0d1f..5c1941d1 100644 --- a/README.md +++ b/README.md @@ -61,6 +61,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [context_propagation](context_propagation) - Context propagation through workflows/activities via interceptor. * [custom_converter](custom_converter) - Use a custom payload converter to handle custom types. * [custom_decorator](custom_decorator) - Custom decorator to auto-heartbeat a long-running activity. +* [custom_metric](custom_metric) - Custom metric to record the workflow type in the activity schedule to start latency. * [dsl](dsl) - DSL workflow that executes steps defined in a YAML file. * [encryption](encryption) - Apply end-to-end encryption for all input/output. * [gevent_async](gevent_async) - Combine gevent and Temporal. diff --git a/custom_metric/README.md b/custom_metric/README.md new file mode 100644 index 00000000..de1d51d5 --- /dev/null +++ b/custom_metric/README.md @@ -0,0 +1,36 @@ +# Custom Metric + +This sample deminstrates two things: (1) how to make a custom metric, and (2) how to use an interceptor. +The custom metric in this sample is an activity schedule-to-start-latency with a workflow type tag. + +Please see the top-level [README](../README.md) for prerequisites such as Python, uv, starting the local temporal development server, etc. + +1. Run the worker with `uv run custom_metric/worker.py` +2. Request execution of the workflow with `uv run custom_metric/starter.py` +3. Go to `http://127.0.0.1:9090/metrics` in your browser + +You'll get something like the following: + +```txt +custom_activity_schedule_to_start_latency_bucket{activity_type="print_and_sleep",namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",workflow_type="StartTwoActivitiesWorkflow",le="100"} 1 +custom_activity_schedule_to_start_latency_bucket{activity_type="print_and_sleep",namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",workflow_type="StartTwoActivitiesWorkflow",le="500"} 1 +custom_activity_schedule_to_start_latency_bucket{activity_type="print_and_sleep",namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",workflow_type="StartTwoActivitiesWorkflow",le="1000"} 1 +custom_activity_schedule_to_start_latency_bucket{activity_type="print_and_sleep",namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",workflow_type="StartTwoActivitiesWorkflow",le="5000"} 2 +custom_activity_schedule_to_start_latency_bucket{activity_type="print_and_sleep",namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",workflow_type="StartTwoActivitiesWorkflow",le="10000"} 2 +custom_activity_schedule_to_start_latency_bucket{activity_type="print_and_sleep",namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",workflow_type="StartTwoActivitiesWorkflow",le="100000"} 2 +custom_activity_schedule_to_start_latency_bucket{activity_type="print_and_sleep",namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",workflow_type="StartTwoActivitiesWorkflow",le="1000000"} 2 +custom_activity_schedule_to_start_latency_bucket{activity_type="print_and_sleep",namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",workflow_type="StartTwoActivitiesWorkflow",le="+Inf"} 2 +custom_activity_schedule_to_start_latency_sum{activity_type="print_and_sleep",namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",workflow_type="StartTwoActivitiesWorkflow"} 1010 +custom_activity_schedule_to_start_latency_count{activity_type="print_and_sleep",namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",workflow_type="StartTwoActivitiesWorkflow"} 2 +... +temporal_activity_schedule_to_start_latency_bucket{namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",le="100"} 1 +temporal_activity_schedule_to_start_latency_bucket{namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",le="500"} 1 +temporal_activity_schedule_to_start_latency_bucket{namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",le="1000"} 1 +temporal_activity_schedule_to_start_latency_bucket{namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",le="5000"} 2 +temporal_activity_schedule_to_start_latency_bucket{namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",le="10000"} 2 +temporal_activity_schedule_to_start_latency_bucket{namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",le="100000"} 2 +temporal_activity_schedule_to_start_latency_bucket{namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",le="1000000"} 2 +temporal_activity_schedule_to_start_latency_bucket{namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue",le="+Inf"} 2 +temporal_activity_schedule_to_start_latency_sum{namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue"} 1010 +temporal_activity_schedule_to_start_latency_count{namespace="default",service_name="temporal-core-sdk",task_queue="custom-metric-task-queue"} 2 +``` diff --git a/custom_metric/__init__.py b/custom_metric/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/custom_metric/activity.py b/custom_metric/activity.py new file mode 100644 index 00000000..7f2ee116 --- /dev/null +++ b/custom_metric/activity.py @@ -0,0 +1,9 @@ +import time + +from temporalio import activity + + +@activity.defn +def print_and_sleep(): + print("In the activity.") + time.sleep(1) diff --git a/custom_metric/starter.py b/custom_metric/starter.py new file mode 100644 index 00000000..ded3a626 --- /dev/null +++ b/custom_metric/starter.py @@ -0,0 +1,23 @@ +import asyncio +import uuid + +from temporalio.client import Client + +from custom_metric.workflow import StartTwoActivitiesWorkflow + + +async def main(): + + client = await Client.connect( + "localhost:7233", + ) + + await client.start_workflow( + StartTwoActivitiesWorkflow.run, + id="execute-activity-workflow-" + str(uuid.uuid4()), + task_queue="custom-metric-task-queue", + ) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/custom_metric/worker.py b/custom_metric/worker.py new file mode 100644 index 00000000..9ffad207 --- /dev/null +++ b/custom_metric/worker.py @@ -0,0 +1,71 @@ +import asyncio +from concurrent.futures import ThreadPoolExecutor + +from temporalio import activity +from temporalio.client import Client +from temporalio.runtime import PrometheusConfig, Runtime, TelemetryConfig +from temporalio.worker import ( + ActivityInboundInterceptor, + ExecuteActivityInput, + Interceptor, + Worker, +) + +from custom_metric.activity import print_and_sleep +from custom_metric.workflow import StartTwoActivitiesWorkflow + + +class SimpleWorkerInterceptor(Interceptor): + def intercept_activity( + self, next: ActivityInboundInterceptor + ) -> ActivityInboundInterceptor: + return CustomScheduleToStartInterceptor(next) + + +class CustomScheduleToStartInterceptor(ActivityInboundInterceptor): + async def execute_activity(self, input: ExecuteActivityInput): + + schedule_to_start = ( + activity.info().started_time + - activity.info().current_attempt_scheduled_time + ) + # Could do the original schedule time instead of current attempt + # schedule_to_start_second_option = activity.info().started_time - activity.info().scheduled_time + + meter = activity.metric_meter() + histogram = meter.create_histogram_timedelta( + "custom_activity_schedule_to_start_latency", + description="Time between activity scheduling and start", + unit="duration", + ) + histogram.record( + schedule_to_start, {"workflow_type": activity.info().workflow_type} + ) + return await self.next.execute_activity(input) + + +async def main(): + runtime = Runtime( + telemetry=TelemetryConfig(metrics=PrometheusConfig(bind_address="0.0.0.0:9090")) + ) + client = await Client.connect( + "localhost:7233", + runtime=runtime, + ) + worker = Worker( + client, + task_queue="custom-metric-task-queue", + interceptors=[SimpleWorkerInterceptor()], + workflows=[StartTwoActivitiesWorkflow], + activities=[print_and_sleep], + # only one activity executor with two concurrently scheduled activities + # to force a nontrivial schedule to start times + activity_executor=ThreadPoolExecutor(1), + max_concurrent_activities=1, + ) + + await worker.run() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/custom_metric/workflow.py b/custom_metric/workflow.py new file mode 100644 index 00000000..cf37823b --- /dev/null +++ b/custom_metric/workflow.py @@ -0,0 +1,25 @@ +import asyncio +from datetime import timedelta + +from temporalio import workflow + +with workflow.unsafe.imports_passed_through(): + from custom_metric.activity import print_and_sleep + + +@workflow.defn +class StartTwoActivitiesWorkflow: + @workflow.run + async def run(self): + # Request two concurrent activities with only one task slot so + # we can see nontrivial schedule to start times. + activity1 = workflow.execute_activity( + print_and_sleep, + start_to_close_timeout=timedelta(seconds=5), + ) + activity2 = workflow.execute_activity( + print_and_sleep, + start_to_close_timeout=timedelta(seconds=5), + ) + await asyncio.gather(activity1, activity2) + return None diff --git a/pyproject.toml b/pyproject.toml index 5fd96a81..e44b34b9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -86,6 +86,7 @@ packages = [ "context_propagation", "custom_converter", "custom_decorator", + "custom_metric", "dsl", "encryption", "gevent_async", diff --git a/tests/custom_metric/__init__.py b/tests/custom_metric/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/custom_metric/workflow_test.py b/tests/custom_metric/workflow_test.py new file mode 100644 index 00000000..4e107b79 --- /dev/null +++ b/tests/custom_metric/workflow_test.py @@ -0,0 +1,32 @@ +import uuid + +from temporalio import activity +from temporalio.client import Client +from temporalio.worker import Worker + +from custom_metric.worker import StartTwoActivitiesWorkflow + +_TASK_QUEUE = "custom-metric-task-queue" + +activity_counter = 0 + + +async def test_custom_metric_workflow(client: Client): + @activity.defn(name="print_and_sleep") + async def print_message_mock(): + global activity_counter + activity_counter += 1 + + async with Worker( + client, + task_queue=_TASK_QUEUE, + workflows=[StartTwoActivitiesWorkflow], + activities=[print_message_mock], + ): + result = await client.execute_workflow( + StartTwoActivitiesWorkflow.run, + id=str(uuid.uuid4()), + task_queue=_TASK_QUEUE, + ) + assert result is None + assert activity_counter == 2 From 50dc7ca6a65dc752cca2883b2a8c7a7a627c12cc Mon Sep 17 00:00:00 2001 From: Dan Davison Date: Wed, 23 Apr 2025 18:44:37 -0400 Subject: [PATCH 81/84] Update sdk (#179) --- pyproject.toml | 2 +- uv.lock | 16 ++++++++-------- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index e44b34b9..a7e0921d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,7 +6,7 @@ authors = [{ name = "Temporal Technologies Inc", email = "sdk@temporal.io" }] requires-python = "~=3.9" readme = "README.md" license = "MIT" -dependencies = ["temporalio>=1.10.0,<2"] +dependencies = ["temporalio>=1.11.0,<2"] [project.urls] Homepage = "https://github.com/temporalio/samples-python" diff --git a/uv.lock b/uv.lock index 5e55fbbe..3221e5e8 100644 --- a/uv.lock +++ b/uv.lock @@ -2231,7 +2231,7 @@ wheels = [ [[package]] name = "temporalio" -version = "1.10.0" +version = "1.11.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "protobuf" }, @@ -2239,13 +2239,13 @@ dependencies = [ { name = "types-protobuf" }, { name = "typing-extensions" }, ] -sdist = { url = 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Subject: [PATCH 82/84] Add CODEOWNERS (#181) --- .github/CODEOWNERS | 1 + 1 file changed, 1 insertion(+) create mode 100644 .github/CODEOWNERS diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS new file mode 100644 index 00000000..0f4298b7 --- /dev/null +++ b/.github/CODEOWNERS @@ -0,0 +1 @@ +* @temporalio/sdk From 872144dfee31e99d7e444e1c52c77fdfc362354d Mon Sep 17 00:00:00 2001 From: Lavi Date: Mon, 5 May 2025 21:14:54 +0800 Subject: [PATCH 83/84] fix: periodic polling sample (#183) --- polling/periodic_sequence/workflows.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/polling/periodic_sequence/workflows.py b/polling/periodic_sequence/workflows.py index 917170c1..3c6d7555 100644 --- a/polling/periodic_sequence/workflows.py +++ b/polling/periodic_sequence/workflows.py @@ -38,6 +38,5 @@ async def run(self, name: str) -> str: except ActivityError: workflow.logger.error("Activity failed, retrying in 1 seconds") await asyncio.sleep(1) - 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