diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..9ac47c6 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,29 @@ +name: CI + +on: + push: + branches: [main] + pull_request: + +jobs: + lint: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: astral-sh/setup-uv@v5 + - run: uv sync --extra dev + - run: uv run ruff check . + - run: uv run ruff format --check . + + test: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: ["3.10", "3.12", "3.13"] + steps: + - uses: actions/checkout@v4 + - uses: astral-sh/setup-uv@v5 + with: + python-version: ${{ matrix.python-version }} + - run: make setup + - run: make test-unit diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index 248ffa3..b27db29 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -14,9 +14,15 @@ jobs: id-token: write steps: - uses: actions/checkout@v4 - - uses: actions/setup-python@v5 - with: - python-version: "3.13" - - run: pip install build - - run: python -m build + - uses: astral-sh/setup-uv@v5 + - name: Verify tag matches pyproject version + if: github.event_name == 'release' + run: | + tag="${GITHUB_REF_NAME#v}" + pkg="$(uv version --short)" + if [ "$tag" != "$pkg" ]; then + echo "::error::tag v$tag does not match pyproject version $pkg — bump version in pyproject.toml" + exit 1 + fi + - run: uv build - uses: pypa/gh-action-pypi-publish@release/v1 diff --git a/.gitignore b/.gitignore index 7d7653c..a1b36e3 100644 --- a/.gitignore +++ b/.gitignore @@ -6,3 +6,4 @@ dist/ build/ .pytest_cache/ *.pyc +.coverage diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..f598a81 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,7 @@ +# Development + +Always run `uv run ruff format --check .` and `uv run python -m pytest tests/ -q` after making changes. + +# Publishing + +Bump `version` in `pyproject.toml` before creating a release. The publish workflow triggers on GitHub releases, not tags alone. diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index ec01049..919386e 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -3,13 +3,55 @@ ## Setup ```bash -pip install -e ".[dev]" +make setup ``` +## Building + +```bash +make build +``` + +This creates both a source distribution and wheel in `dist/`. + ## Tests ```bash -pytest tests/ -v +make test # all tests +make test-unit # unit tests only (skips integration) +make test-integration # integration tests only +``` + +### Integration tests + +Integration tests live under `tests/integration/` and are marked with `@pytest.mark.integration`. Run them individually per database: + +```bash +make test-duckdb # no credentials needed +make test-bigquery # requires BRUIN_TEST_BQ_PROJECT_ID +make test-snowflake # requires BRUIN_TEST_SF_* env vars +``` + +**BigQuery** — uses Application Default Credentials by default: + +```bash +BRUIN_TEST_BQ_PROJECT_ID=your-project make test-bigquery + +# or with a service account: +BRUIN_TEST_BQ_PROJECT_ID=your-project \ +BRUIN_TEST_BQ_SERVICE_ACCOUNT_JSON='{"type":"service_account",...}' \ +make test-bigquery +``` + +**Snowflake**: + +```bash +BRUIN_TEST_SF_ACCOUNT=xy12345.us-east-1 \ +BRUIN_TEST_SF_USERNAME=user \ +BRUIN_TEST_SF_PASSWORD=pass \ +BRUIN_TEST_SF_DATABASE=mydb \ +BRUIN_TEST_SF_WAREHOUSE=mywh \ +make test-snowflake ``` ## Releasing diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..9b04bd4 --- /dev/null +++ b/LICENSE @@ -0,0 +1,66 @@ +Apache License +Version 2.0, January 2004 +http://www.apache.org/licenses/ + +Copyright 2026 Bruin Data Limited + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. + +TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + +1. 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Instead of manually parsing credentials, creating database clients, and writing repetitive helper functions, users install one package and get instant access to their Bruin-managed connections. - -**Package name:** `bruin-sdk` (on PyPI) -**Import name:** `bruin` - -## Problem - -Bruin manages connections and credentials centrally via `.bruin.yml`. When running Python assets, it injects these connections as JSON-serialized environment variables. However, every Python asset must manually: - -1. Parse the JSON from environment variables -2. For GCP: double-deserialize (`json.loads` twice — once for the env var, once for the nested `service_account_json`) -3. Import platform-specific libraries (google.cloud.bigquery, snowflake.connector, etc.) -4. Construct native clients from the parsed credentials -5. Execute queries and handle results - -This leads to a `helpers.py` file being copy-pasted into every project. Analysis of 12 real-world Bruin projects revealed: - -- The same `get_bq_client()` function copied verbatim in 8+ projects -- The same `send_slack_message()` function in 5 projects -- Google Sheets upload logic duplicated across 3 projects (one project had 8 variants totaling 268 lines) -- AWS credential extraction repeated 3 times within a single project -- Zero code reuse between projects - -Every new project starts by copying helpers.py from a previous one and modifying it. This is error-prone, inconsistent, and wastes time. - -## Solution - -A pip-installable package that provides: - -1. **One-line queries** against any Bruin-managed connection, returning a pandas DataFrame -2. **Automatic credential parsing** from Bruin's injected environment variables -3. **Native client access** for platform-specific operations (uploads, DDL, etc.) -4. **Pythonic access** to Bruin runtime context (dates, variables, run metadata) -5. **Common operation helpers** for Slack, Google Sheets, and data writing - -## How It Works - -Bruin handles environments and credential injection before Python code runs: - -``` -bruin run --environment production - └─ resolves connections from .bruin.yml for "production" - └─ serializes them as JSON into environment variables - └─ executes the Python asset - └─ bruin-sdk reads env vars, creates clients, runs queries -``` - -The package never deals with environments directly. By the time Python executes, the right credentials are already available as env vars. The package simply makes them easy to use. - -## Target Users - -1. **Data engineers** writing Bruin Python assets who query databases, call APIs, and load data -2. **Analytics engineers** who need to fetch data from warehouses in Python scripts -3. **Anyone using Bruin** who writes Python assets and is tired of boilerplate - -## Requirements - -### v0.1 — Core - -The foundation that eliminates 80% of existing helpers.py boilerplate. - -#### R1: Query - -Execute SQL against any Bruin-managed connection, return a pandas DataFrame. - -```python -from bruin import query - -df = query("SELECT * FROM users", connection="my_bigquery") -``` - -| Parameter | Type | Required | Description | -|-----------|------|----------|-------------| -| sql | str | yes | SQL query to execute | -| connection | str | yes | Connection name as defined in .bruin.yml | - -Implementation: uses `get_connection()` (R3) to obtain the native client, executes the query using the platform's Python library, and returns a pandas DataFrame. No Bruin CLI dependency. - -Each platform uses its native method to return a DataFrame: - -| Platform | Library | Execution Method | -|----------|---------|------------------| -| BigQuery | google-cloud-bigquery | `client.query(sql).to_dataframe()` | -| Snowflake | snowflake-connector-python | `cursor.execute(sql).fetch_pandas_all()` | -| Postgres | psycopg2 + pandas | `pd.read_sql(sql, conn)` | -| MSSQL | pymssql + pandas | `pd.read_sql(sql, conn)` | -| MySQL | mysql-connector-python + pandas | `pd.read_sql(sql, conn)` | -| Redshift | psycopg2 + pandas | `pd.read_sql(sql, conn)` | -| DuckDB | duckdb | `conn.execute(sql).fetchdf()` | -| Databricks | databricks-sql-connector | `pd.read_sql(sql, conn)` | - -#### R2: Bruin Context - -Parse Bruin's runtime environment variables into proper Python types. - -```python -from bruin import context - -context.start_date # datetime.date -context.end_date # datetime.date -context.start_datetime # datetime.datetime -context.end_datetime # datetime.datetime -context.execution_date # datetime.date -context.run_id # str -context.pipeline # str -context.asset_name # str -context.is_full_refresh # bool -context.vars # dict (types preserved from JSON Schema) -context.vars["segment"] # str — "enterprise" -context.vars["horizon"] # int — 30 -context.vars["cohorts"] # list[dict] — [{"name": "baseline", "weight": 0.6}, ...] -``` - -Pipeline variables are defined with JSON Schema types in `pipeline.yml`. `BRUIN_VARS` is a JSON string that preserves these types. The package parses it once via `json.loads`, so values come back as their true Python types — not strings: - -| JSON Schema Type | Python Type | Example | -|------------------|-------------|---------| -| string | str | `"enterprise"` | -| integer | int | `30` | -| number | float | `0.6` | -| boolean | bool | `True` | -| array | list | `[{"name": "a"}, {"name": "b"}]` | -| object | dict | `{"name": "baseline", "weight": 0.6}` | - -Source environment variables: - -| Property | Env Var | Python Type | -|----------|---------|-------------| -| start_date | BRUIN_START_DATE | datetime.date | -| end_date | BRUIN_END_DATE | datetime.date | -| start_datetime | BRUIN_START_DATETIME | datetime.datetime | -| end_datetime | BRUIN_END_DATETIME | datetime.datetime | -| execution_date | BRUIN_EXECUTION_DATE | datetime.date | -| run_id | BRUIN_RUN_ID | str | -| pipeline | BRUIN_PIPELINE | str | -| asset_name | BRUIN_THIS | str | -| is_full_refresh | BRUIN_FULL_REFRESH | bool | -| vars | BRUIN_VARS | dict (JSON-parsed, types preserved) | - -When running outside of `bruin run` (e.g., local development), properties return `None` rather than raising errors. - -#### R3: Native Client Access - -Parse Bruin's injected connection env vars and return platform-native clients. - -```python -from bruin import get_connection - -conn = get_connection("my_bigquery") -conn.client # google.cloud.bigquery.Client -conn.credentials # google.oauth2.Credentials -conn.raw # dict — the raw parsed JSON from env var -``` - -Supported connection types and what `.client` returns: - -| Connection Type | `.client` Returns | Required Extras | -|-----------------|-------------------|-----------------| -| google_cloud_platform | google.cloud.bigquery.Client | `google-cloud-bigquery` | -| snowflake | snowflake.connector.Connection | `snowflake-connector-python` | -| postgres | psycopg2.connection | `psycopg2-binary` | -| mssql | pymssql.Connection | `pymssql` | -| mysql | mysql.connector.Connection | `mysql-connector-python` | -| aws | boto3.Session | `boto3` | - -Platform-specific client libraries are optional dependencies (extras). The core package has no heavy dependencies. - -Client creation is lazy — the client is only instantiated when `.client` is first accessed. - -### v0.2 — Common Operations - -Helpers for the most-repeated patterns across Bruin projects. - -#### R4: Slack Notifications - -```python -from bruin import slack - -slack.send("slack_webhook_conn", "Deployment complete") -``` - -Supports both webhook URLs and Slack API tokens. Parses the connection format automatically. - -#### R5: Google Sheets - -```python -from bruin import gsheets - -df = gsheets.read("gcp_conn", spreadsheet_id="...", sheet="Sheet1") -gsheets.write(df, "gcp_conn", spreadsheet_id="...", sheet="Sheet1") -gsheets.append(df, "gcp_conn", spreadsheet_id="...", sheet="Sheet1") -gsheets.update_cell("gcp_conn", spreadsheet_id="...", sheet="Sheet1", cell="A1", value="hello") -``` - -Uses the GCP connection's service account credentials with Sheets API scopes. Replaces 8+ functions typically found in helpers.py with 4 clean methods. - -#### R6: DataFrame to Table - -```python -from bruin import write - -write(df, "my_bigquery", table="schema.table_name", mode="replace") -``` - -Modes: `replace`, `append`, `merge`. Uses the native client from R3 to upload data. - -### v0.3 — Developer Experience - -#### R7: Local Mode - -Auto-detect whether running inside `bruin run` (env vars present) or standalone (read `.bruin.yml` from project root). The user's code stays the same in both cases. - -#### R8: Mock Connections for Testing - -```python -from bruin.testing import mock_connection, mock_context - -with mock_connection("my_bigquery", query_results=pd.DataFrame({"id": [1, 2]})): - result = query("SELECT * FROM users", connection="my_bigquery") - assert len(result) == 2 - -with mock_context(start_date="2024-01-01", pipeline="test"): - assert context.start_date == date(2024, 1, 1) -``` - -#### R9: Error Messages - -Friendly, actionable error messages: - -``` -bruin.ConnectionNotFoundError: Connection "my_bigqurey" not found. - Available connections: my_bigquery, snowflake_prod, postgres_dev - Did you mean "my_bigquery"? - -bruin.BruinCLINotFoundError: Bruin CLI not found. - Install it with: curl -sSL https://raw.githubusercontent.com/bruin-data/bruin/main/install.sh | bash -``` - -## Non-Goals - -The following are explicitly out of scope: - -- **API-specific integrations** (Meta Ads, AppsFlyer, etc.) — too client-specific for a general package -- **CLI wrappers** (pipeline.run, validate, render, lineage) — users can call `bruin` directly from the terminal or CI/CD -- **Managing .bruin.yml** — the package reads connections, it doesn't manage them -- **Environment resolution** — Bruin handles this before Python runs -- **Custom asset runners** — Bruin's asset execution is handled by the CLI - -## Package Structure - -``` -bruin-sdk/ - pyproject.toml - src/ - bruin/ - __init__.py # query(), get_connection(), context - _query.py # query execution via native clients - _context.py # BRUIN_* env var parsing - _connection.py # connection parsing + native client creation - slack.py # slack.send() - gsheets.py # gsheets.read(), write(), append(), update_cell() - testing.py # mock_connection(), mock_context() - exceptions.py # ConnectionNotFoundError, BruinCLINotFoundError, etc. -``` - -## Dependencies - -### Core (v0.1) -- `pandas` — DataFrame return type for query() -- No other required dependencies - -### Optional Extras -- `bruin-sdk[bigquery]` → `google-cloud-bigquery`, `google-auth` -- `bruin-sdk[snowflake]` → `snowflake-connector-python` -- `bruin-sdk[postgres]` → `psycopg2-binary` -- `bruin-sdk[mssql]` → `pymssql` -- `bruin-sdk[mysql]` → `mysql-connector-python` -- `bruin-sdk[aws]` → `boto3` -- `bruin-sdk[sheets]` → `pygsheets`, `google-auth` -- `bruin-sdk[slack]` → `requests` -- `bruin-sdk[all]` → everything above - -### System Requirement -- Bruin CLI is NOT required. The package uses native Python libraries directly. - -## Success Metrics - -1. **Adoption**: new Bruin projects stop creating helpers.py files -2. **Reduction**: average Python asset code drops by 50%+ lines -3. **Time to first query**: from "create project" to "DataFrame in hand" under 2 minutes -4. **Zero-config**: works immediately with existing .bruin.yml — no additional setup - -## Future — Caching - -Two problems caching solves: - -1. **Iteration speed**: ML and ingestion development means running the same code over and over while tweaking transformations. Re-fetching the same dataset or API response every time is slow and wasteful. -2. **Rate limits**: APIs (Facebook, Shopify, AppsFlyer, etc.) have strict rate limits. Hitting the same endpoint repeatedly during development burns through quotas. One bad debugging session can exhaust a daily limit. - -Caching eliminates both: fetch once, iterate locally as many times as you need. - -```python -from bruin import query - -# First call: hits BigQuery, caches result locally -df = query("SELECT * FROM events", connection="my_bigquery", cache=True) - -# Second call: same SQL + same connection = instant, loaded from local cache -df = query("SELECT * FROM events", connection="my_bigquery", cache=True) - -# Force refresh when the underlying data has changed -df = query("SELECT * FROM events", connection="my_bigquery", cache=True, refresh=True) - -# Cache with a TTL — auto-refresh after expiry -df = query("SELECT * FROM events", connection="my_bigquery", cache="1h") -``` - -How it works: -- Cache key = hash of (SQL string + connection name) -- Cached as local Parquet files (fast reads, preserves types, compact on disk) -- Stored in `.bruin/cache/` in the project directory -- `cache=True` caches indefinitely until manually refreshed -- `cache="1h"` / `cache="30m"` / `cache="1d"` sets a TTL -- `refresh=True` forces a fresh query and updates the cache -- Cache is local and gitignored — never committed - -This same caching layer could later extend to API requests and any expensive computation. Three API caching approaches to consider: - -### Option A: Decorator - -```python -from bruin import cache - -@cache(ttl="1h") -def fetch_campaigns(account_id, start_date): - # expensive API calls, pagination, rate limiting, etc. - return df - -# First call: hits API, caches result -df = fetch_campaigns("acc123", "2024-01-01") - -# Second call: same args = instant from cache -df = fetch_campaigns("acc123", "2024-01-01") - -# Different args = new API call, cached separately -df = fetch_campaigns("acc456", "2024-01-01") -``` - -Cache key = hash of (function name + args + kwargs). Clean and Pythonic. Downside: everything must be wrapped in a function. - -### Option B: Context Manager - -```python -from bruin import cache - -with cache("campaign_data", ttl="1h") as c: - df = fetch_from_api(...) - c.set(df) - -# Later -with cache("campaign_data") as c: - df = c.get() # from cache if available -``` - -Explicit control over what gets cached. Downside: verbose, manual save/load logic. - -### Option C: Explicit Get/Set - -```python -from bruin import cache - -df = cache.get("campaign_data") -if df is None: - df = fetch_from_api(...) - cache.set("campaign_data", df, ttl="1h") -``` - -Full control, no magic. Downside: boilerplate on every call site. - -### Hybrid: Decorator + Inline Call - -Combine the best of A and C — `cache` works both as a decorator and as a direct call: - -```python -from bruin import cache - -# As decorator — for reusable functions -@cache(ttl="1h") -def fetch_campaigns(account_id, start_date): - return expensive_api_call(...) - -df = fetch_campaigns("acc123", "2024-01-01") - -# As inline call — for one-off stuff, no function needed -df = cache(lambda: requests.get("https://api.example.com/data").json(), key="api_data", ttl="1h") -``` - -Decorator form auto-derives the cache key from function name + args. Inline form requires an explicit `key`. - -**Decision deferred** — to be revisited when we get to this stage. - -## Release Plan - -| Version | Scope | Requirements | -|---------|-------|--------------| -| v0.1 | Core: query, context, native clients | R1, R2, R3 | -| v0.2 | Common operations: Slack, Sheets, write | R4, R5, R6 | -| v0.3 | DX: local mode, testing, error messages | R7, R8, R9 | -| Future | Query caching for fast ML iteration | See above | diff --git a/docs/README.md b/README.md similarity index 86% rename from docs/README.md rename to README.md index a1980dc..cb06fff 100644 --- a/docs/README.md +++ b/README.md @@ -35,6 +35,7 @@ bruin-sdk[snowflake] # Snowflake bruin-sdk[postgres] # PostgreSQL / Redshift bruin-sdk[redshift] # Redshift (alias for postgres extra) bruin-sdk[mssql] # Microsoft SQL Server +bruin-sdk[fabric] # Microsoft Fabric Warehouse bruin-sdk[mysql] # MySQL bruin-sdk[duckdb] # DuckDB bruin-sdk[sheets] # Google Sheets (for GCP connections) @@ -99,15 +100,20 @@ from bruin import context | Property | Type | Env Var | Description | |----------|------|---------|-------------| | `context.start_date` | `date \| None` | `BRUIN_START_DATE` | Pipeline run start date | -| `context.end_date` | `date \| None` | `BRUIN_END_DATE` | Pipeline run end date | | `context.start_datetime` | `datetime \| None` | `BRUIN_START_DATETIME` | Start date with time | +| `context.start_timestamp` | `datetime \| None` | `BRUIN_START_TIMESTAMP` | Start timestamp with timezone | +| `context.end_date` | `date \| None` | `BRUIN_END_DATE` | Pipeline run end date | | `context.end_datetime` | `datetime \| None` | `BRUIN_END_DATETIME` | End date with time | +| `context.end_timestamp` | `datetime \| None` | `BRUIN_END_TIMESTAMP` | End timestamp with timezone | | `context.execution_date` | `date \| None` | `BRUIN_EXECUTION_DATE` | Execution date | +| `context.execution_datetime` | `datetime \| None` | `BRUIN_EXECUTION_DATETIME` | Execution date with time | +| `context.execution_timestamp` | `datetime \| None` | `BRUIN_EXECUTION_TIMESTAMP` | Execution timestamp with timezone | | `context.run_id` | `str \| None` | `BRUIN_RUN_ID` | Unique run identifier | | `context.pipeline` | `str \| None` | `BRUIN_PIPELINE` | Pipeline name | | `context.asset_name` | `str \| None` | `BRUIN_ASSET` | Current asset name | | `context.connection` | `str \| None` | `BRUIN_CONNECTION` | Asset's default connection | | `context.is_full_refresh` | `bool` | `BRUIN_FULL_REFRESH` | `True` when `--full-refresh` flag is set | +| `context.commit_hash` | `str \| None` | `BRUIN_COMMIT_HASH` | Git commit hash of the pipeline's repository | | `context.vars` | `dict` | `BRUIN_VARS` | Pipeline variables (types preserved from JSON Schema) | All properties return `None` when the corresponding env var is missing (except `is_full_refresh` which returns `False`, and `vars` which returns `{}`). @@ -204,12 +210,28 @@ conn.client # Lazy-initialized database client | `postgres` | `psycopg2.connection` | `bruin-sdk[postgres]` | | `redshift` | `psycopg2.connection` | `bruin-sdk[redshift]` | | `mssql` | `pymssql.Connection` | `bruin-sdk[mssql]` | +| `fabric` | `pyodbc.Connection` or `pymssql.Connection` | `bruin-sdk[fabric]` | | `mysql` | `mysql.connector.Connection` | `bruin-sdk[mysql]` | | `duckdb` | `duckdb.DuckDBPyConnection` | `bruin-sdk[duckdb]` | | `generic` | N/A (raises error) | — | Client creation is **lazy** — the actual database connection is only established when `.client` is first accessed. +#### Fabric connections + +Fabric supports three authentication modes, selected by the fields present on the connection: + +| Fields | Mode | Driver | +|--------|------|--------| +| `use_azure_default_credential: true` | `DefaultAzureCredential` (e.g. `az login`, managed identity) | `pyodbc` | +| `client_id` + `client_secret` + `tenant_id` | Microsoft Entra ID service principal | `pyodbc` | +| `username` + `password` | SQL authentication | `pymssql` | + +The Microsoft Entra ID modes acquire an access token and hand it to the driver, which requires an +[ODBC Driver for SQL Server](https://learn.microsoft.com/sql/connect/odbc/download-odbc-driver-for-sql-server) +(msodbcsql18 or newer) on the machine running the asset. The newest installed driver is used unless +the connection sets `driver` explicitly. + #### GCP connections GCP connections have extra methods since one connection can access multiple Google services: @@ -430,3 +452,11 @@ query("INSERT INTO audit_log VALUES ('setup_complete', NOW())") df = query("SELECT COUNT(*) as cnt FROM audit_log") print(f"Audit log has {df['cnt'][0]} entries") ``` + +## Disclaimer + +This project is written entirely by machines. + +Not a single line of code in this repository was authored by a human. Every function, module, and commit is generated by AI. We intend to keep it that way. + +The engineering team at [Bruin](https://getbruin.com) does not write the code. We guide the machines that do. diff --git a/ROADMAP.md b/ROADMAP.md deleted file mode 100644 index dc8c57e..0000000 --- a/ROADMAP.md +++ /dev/null @@ -1,212 +0,0 @@ -# Bruin Python Package — Roadmap - -## Environment Handling - -Environments are **automatic**. When Bruin runs a Python asset (`bruin run --environment production`), it resolves the correct connections for that environment and injects them as env vars before your code executes. By the time Python runs, the environment is already decided. - -The package just uses what Bruin gives it. No environment parameter needed in Python code. - -For CLI wrappers (v0.3) that call `bruin` commands directly, environment is passed through to the CLI — but that's the only place it appears. - ---- - -## v0.1 — Core (The Foundation) - -The things every Bruin Python asset needs. This alone eliminates 80% of helpers.py boilerplate. - -### Query - -The killer feature. One function, any database, returns a DataFrame. - -```python -from bruin import query - -df = query("SELECT * FROM users", connection="my_bigquery") -df = query("SELECT * FROM orders WHERE date > :start", connection="snowflake_prod", start_date="2024-01-01") -``` - -- Wraps `bruin query --output json` under the hood -- Returns pandas DataFrame -- Supports all Bruin-supported platforms (BigQuery, Snowflake, Postgres, Redshift, Athena, DuckDB, Databricks, MSSQL, etc.) -- Passes through `limit`, `timeout`, `start_date`, `end_date` - -### Bruin Context - -Every Python asset reads env vars for dates and variables. Make it Pythonic. - -```python -from bruin import context - -context.start_date # datetime.date(2024, 1, 15) -context.end_date # datetime.date(2024, 1, 16) -context.start_datetime # datetime.datetime(2024, 1, 15, 13, 45, 30) -context.execution_date # datetime.date(2024, 1, 15) -context.run_id # "abc-123" -context.pipeline # "my_pipeline" -context.asset_name # "tier1.my_asset" -context.is_full_refresh # False -context.vars # {"segment": "enterprise", "horizon": 30} -context.vars["segment"] # "enterprise" -``` - -- Parses BRUIN_* env vars into proper Python types -- `start_date`/`end_date` → `datetime.date` -- `start_datetime` → `datetime.datetime` -- `vars` → dict (parsed from BRUIN_VARS JSON) -- `is_full_refresh` → bool -- Graceful behavior when running outside `bruin run` (returns None or sensible defaults) - -### Native Client Access - -For when you need more than a query (uploads, DDL, API calls). - -```python -from bruin import get_connection - -bq = get_connection("my_bigquery").client # google.cloud.bigquery.Client -sf = get_connection("my_snowflake").client # snowflake.connector.Connection -pg = get_connection("my_postgres").client # psycopg2 connection -creds = get_connection("my_gcp").credentials # google.oauth2.Credentials -``` - -- Parses Bruin's injected env var JSON automatically -- Detects connection type and creates the right client -- Supports: BigQuery, Snowflake, Postgres, MSSQL, AWS (boto3), GCP credentials -- Lazy initialization (client created on first access) - ---- - -## v0.2 — Common Operations - -The most-repeated patterns from real-world Bruin projects. - -### Slack - -```python -from bruin import slack - -slack.send("slack_webhook", "Deployment complete") -slack.send("slack_webhook", "Pipeline failed!", channel="#alerts") # if API token -``` - -### Google Sheets - -```python -from bruin import gsheets - -# Read -df = gsheets.read("gcp_conn", spreadsheet_id="...", sheet="Sheet1") - -# Write (clear + upload) -gsheets.write(df, "gcp_conn", spreadsheet_id="...", sheet="Sheet1") - -# Append -gsheets.append(df, "gcp_conn", spreadsheet_id="...", sheet="Sheet1") - -# Update a cell -gsheets.update_cell("gcp_conn", spreadsheet_id="...", sheet="Sheet1", cell="A1", value="hello") -``` - -### DataFrame to Table - -For writing data back to warehouses without materialization config. - -```python -from bruin import write - -write(df, "my_bigquery", table="schema.table_name", mode="replace") # or "append", "merge" -``` - ---- - -## v0.3 — CLI Wrappers - -For building tools, automations, and CI/CD integrations on top of Bruin. - -### Pipeline Operations - -```python -from bruin import pipeline - -# Run -result = pipeline.run("path/to/pipeline", environment="production") - -# Validate -issues = pipeline.validate("path/to/pipeline") - -# Render SQL with variables -sql = pipeline.render("path/to/asset.sql", start_date="2024-01-01") - -# Get lineage -lineage = pipeline.lineage("path/to/asset.sql") -``` - -### Connection Management - -```python -from bruin import connections - -# List all connections -conns = connections.list() - -# Test a connection -ok = connections.test("my_bigquery") -``` - ---- - -## v0.4 — Developer Experience - -### Local Mode - -Auto-detect whether running inside `bruin run` (env vars) or standalone (read `.bruin.yml`). - -```python -from bruin import query - -# Inside bruin run: uses injected env vars -# Standalone: reads .bruin.yml from project root -df = query("SELECT 1", connection="my_bigquery") -``` - -### Mock Connections for Testing - -```python -from bruin.testing import mock_connection, mock_context -import pandas as pd - -# Mock a query response -with mock_connection("my_bigquery", query_results=pd.DataFrame({"id": [1, 2]})): - result = query("SELECT * FROM users", connection="my_bigquery") - assert len(result) == 2 - -# Mock Bruin context -with mock_context(start_date="2024-01-01", pipeline="test"): - assert context.start_date == date(2024, 1, 1) -``` - -### Error Messages - -Clear messages when things go wrong: - -``` -bruin.ConnectionNotFoundError: Connection "my_bigqurey" not found. - Available connections: my_bigquery, snowflake_prod, postgres_dev - Did you mean "my_bigquery"? - -bruin.BruinCLINotFoundError: Bruin CLI not found. - Install it with: curl -sSL https://raw.githubusercontent.com/bruin-data/bruin/main/install.sh | bash -``` - ---- - -## Future — Community Driven - -These are too specific for the core package. Could be separate packages or added based on demand. - -- **API integrations** (Meta Ads, AppsFlyer, etc.) → too client-specific -- **Email notifications** via SMTP -- **Google Drive** upload/download -- **S3 read/write** (DataFrame ↔ S3) -- **Generic REST API** helper with Bruin connection auth -- **Asset scaffolding** (generate Python asset boilerplate from templates) diff --git a/TESTING.md b/TESTING.md deleted file mode 100644 index f1d5d01..0000000 --- a/TESTING.md +++ /dev/null @@ -1,401 +0,0 @@ -# Testing Strategy - -## Principle - -Every module has a clear split: -- **Pure logic** (parsing JSON, building CLI args, type conversion) → test directly -- **External calls** (subprocess, API clients) → mock at the boundary - -No real Bruin CLI, database, or API calls in unit tests. Tests run in milliseconds. - -## Module-by-Module - -### Context (`_context.py`) - -Easiest to test. It just reads env vars and converts types. Set env vars, assert output. - -```python -import os -from datetime import date, datetime - -def test_start_date(monkeypatch): - monkeypatch.setenv("BRUIN_START_DATE", "2024-01-15") - assert context.start_date == date(2024, 1, 15) - -def test_start_datetime(monkeypatch): - monkeypatch.setenv("BRUIN_START_DATETIME", "2024-01-15T13:45:30") - assert context.start_datetime == datetime(2024, 1, 15, 13, 45, 30) - -def test_vars(monkeypatch): - monkeypatch.setenv("BRUIN_VARS", '{"segment": "enterprise", "horizon": 30}') - assert context.vars["segment"] == "enterprise" - assert context.vars["horizon"] == 30 - -def test_is_full_refresh_true(monkeypatch): - monkeypatch.setenv("BRUIN_FULL_REFRESH", "1") - assert context.is_full_refresh is True - -def test_is_full_refresh_false(monkeypatch): - monkeypatch.delenv("BRUIN_FULL_REFRESH", raising=False) - assert context.is_full_refresh is False - -def test_missing_env_returns_none(monkeypatch): - monkeypatch.delenv("BRUIN_START_DATE", raising=False) - assert context.start_date is None - -def test_empty_vars_returns_empty_dict(monkeypatch): - monkeypatch.delenv("BRUIN_VARS", raising=False) - assert context.vars == {} -``` - -No mocks needed. Just `monkeypatch.setenv`. - ---- - -### Query (`_query.py`) - -Two things to test: -1. Are we building the right CLI command? -2. Are we parsing the JSON output into a DataFrame correctly? - -```python -import pandas as pd -from unittest.mock import patch, MagicMock - -# Test: CLI args are built correctly -def test_query_builds_correct_command(): - mock_result = MagicMock() - mock_result.stdout = '[{"id": 1, "name": "alice"}]' - mock_result.returncode = 0 - - with patch("subprocess.run", return_value=mock_result) as mock_run: - df = query("SELECT * FROM users", connection="my_bq") - - args = mock_run.call_args[0][0] - assert "bruin" in args - assert "query" in args - assert "--connection" in args - assert "my_bq" in args - assert "--output" in args - assert "json" in args - -# Test: limit and timeout are passed through -def test_query_passes_limit_and_timeout(): - mock_result = MagicMock(stdout="[]", returncode=0) - - with patch("subprocess.run", return_value=mock_result) as mock_run: - query("SELECT 1", connection="x", limit=10, timeout=30) - args = mock_run.call_args[0][0] - assert "--limit" in args - assert "10" in args - assert "--timeout" in args - assert "30" in args - -# Test: JSON output is parsed into a DataFrame -def test_query_returns_dataframe(): - json_output = '[{"id": 1, "name": "alice"}, {"id": 2, "name": "bob"}]' - mock_result = MagicMock(stdout=json_output, returncode=0) - - with patch("subprocess.run", return_value=mock_result): - df = query("SELECT * FROM users", connection="my_bq") - assert isinstance(df, pd.DataFrame) - assert len(df) == 2 - assert list(df.columns) == ["id", "name"] - -# Test: empty result -def test_query_empty_result(): - mock_result = MagicMock(stdout="[]", returncode=0) - - with patch("subprocess.run", return_value=mock_result): - df = query("SELECT * FROM users WHERE 1=0", connection="my_bq") - assert isinstance(df, pd.DataFrame) - assert len(df) == 0 - -# Test: CLI error raises exception -def test_query_cli_error(): - mock_result = MagicMock(stdout="", stderr="connection not found", returncode=1) - - with patch("subprocess.run", return_value=mock_result): - with pytest.raises(BruinQueryError, match="connection not found"): - query("SELECT 1", connection="nonexistent") -``` - -Mock boundary: `subprocess.run`. Everything above it (arg building) and below it (JSON parsing) is tested directly. - ---- - -### Connection (`_connection.py`) - -Split into two testable parts: -1. **Parsing**: env var JSON → structured connection dict -2. **Client creation**: structured dict → native client (mock the client constructor) - -```python -# --- Parsing tests (no mocks needed) --- - -def test_parse_bigquery_connection(monkeypatch): - conn_json = json.dumps({ - "service_account_json": json.dumps({"type": "service_account", "project_id": "my-proj"}), - "project_id": "my-proj" - }) - monkeypatch.setenv("my_bq", conn_json) - - conn = get_connection("my_bq") - assert conn.raw["project_id"] == "my-proj" - -def test_parse_postgres_connection(monkeypatch): - conn_json = json.dumps({ - "host": "localhost", - "port": 5432, - "database": "mydb", - "username": "user", - "password": "pass" - }) - monkeypatch.setenv("my_pg", conn_json) - - conn = get_connection("my_pg") - assert conn.raw["host"] == "localhost" - assert conn.raw["port"] == 5432 - -def test_connection_not_found(monkeypatch): - monkeypatch.delenv("nonexistent", raising=False) - with pytest.raises(ConnectionNotFoundError): - get_connection("nonexistent") - -def test_invalid_json_raises_error(monkeypatch): - monkeypatch.setenv("bad_conn", "not json") - with pytest.raises(ConnectionParseError): - get_connection("bad_conn") - -# --- Client creation tests (mock the client constructor) --- - -def test_bigquery_client_creation(monkeypatch): - conn_json = json.dumps({ - "service_account_json": json.dumps({"type": "service_account", "project_id": "p"}), - "project_id": "p" - }) - monkeypatch.setenv("my_bq", conn_json) - - with patch("google.cloud.bigquery.Client.from_service_account_info") as mock_bq: - mock_bq.return_value = MagicMock() - conn = get_connection("my_bq") - client = conn.client - mock_bq.assert_called_once() - -def test_client_is_lazy(monkeypatch): - conn_json = json.dumps({"host": "localhost", "port": 5432}) - monkeypatch.setenv("my_pg", conn_json) - - with patch("psycopg2.connect") as mock_pg: - conn = get_connection("my_pg") - mock_pg.assert_not_called() # not created yet - _ = conn.client - mock_pg.assert_called_once() # now created -``` - ---- - -### Slack (`slack.py`) - -Mock `requests.post`. Test that the right URL and payload are sent. - -```python -def test_slack_send_webhook(monkeypatch): - monkeypatch.setenv("slack_conn", "https://hooks.slack.com/services/T00/B00/xxx") - - with patch("requests.post") as mock_post: - mock_post.return_value = MagicMock(status_code=200) - slack.send("slack_conn", "hello") - - mock_post.assert_called_once() - call_kwargs = mock_post.call_args - assert "hello" in str(call_kwargs) - -def test_slack_send_missing_connection(monkeypatch): - monkeypatch.delenv("missing", raising=False) - with pytest.raises(ConnectionNotFoundError): - slack.send("missing", "hello") -``` - ---- - -### Google Sheets (`gsheets.py`) - -Mock `pygsheets.authorize` and the worksheet methods. - -```python -def test_gsheets_write(monkeypatch): - # Setup GCP connection env var - conn_json = json.dumps({ - "service_account_json": json.dumps({"type": "service_account"}), - "project_id": "p" - }) - monkeypatch.setenv("gcp_conn", conn_json) - - mock_wks = MagicMock() - mock_sh = MagicMock() - mock_sh.worksheet_by_title.return_value = mock_wks - mock_gc = MagicMock() - mock_gc.open_by_key.return_value = mock_sh - - with patch("pygsheets.authorize", return_value=mock_gc): - df = pd.DataFrame({"a": [1, 2]}) - gsheets.write(df, "gcp_conn", spreadsheet_id="abc", sheet="Sheet1") - - mock_wks.clear.assert_called_once() - mock_wks.set_dataframe.assert_called_once() -``` - ---- - -### CLI Wrappers (`pipeline.py`, `connections.py`) - -Same pattern as query: mock `subprocess.run`, verify args. - -```python -def test_pipeline_run(): - mock_result = MagicMock(stdout='{"status": "success"}', returncode=0) - - with patch("subprocess.run", return_value=mock_result) as mock_run: - pipeline.run("path/to/pipeline", environment="production") - args = mock_run.call_args[0][0] - assert "run" in args - assert "--environment" in args - assert "production" in args - -def test_connections_list(): - mock_result = MagicMock(stdout='[{"name": "my_bq", "type": "bigquery"}]', returncode=0) - - with patch("subprocess.run", return_value=mock_result) as mock_run: - conns = connections.list() - assert len(conns) == 1 - assert conns[0]["name"] == "my_bq" -``` - ---- - -## Test Fixtures - -Reusable connection JSON payloads that mirror real Bruin connections. Keeps tests DRY. - -```python -# conftest.py - -import pytest -import json - -@pytest.fixture -def bigquery_conn_env(monkeypatch): - """Sets up a realistic BigQuery connection env var.""" - conn = { - "service_account_json": json.dumps({ - "type": "service_account", - "project_id": "test-project", - "private_key_id": "key123", - "private_key": "-----BEGIN RSA PRIVATE KEY-----\nfake\n-----END RSA PRIVATE KEY-----\n", - "client_email": "test@test-project.iam.gserviceaccount.com", - "client_id": "123456789", - }), - "project_id": "test-project" - } - monkeypatch.setenv("test_bigquery", json.dumps(conn)) - -@pytest.fixture -def postgres_conn_env(monkeypatch): - """Sets up a realistic Postgres connection env var.""" - conn = { - "host": "localhost", - "port": 5432, - "database": "testdb", - "username": "testuser", - "password": "testpass" - } - monkeypatch.setenv("test_postgres", json.dumps(conn)) - -@pytest.fixture -def snowflake_conn_env(monkeypatch): - """Sets up a realistic Snowflake connection env var.""" - conn = { - "account": "xy12345.us-east-1", - "username": "testuser", - "password": "testpass", - "warehouse": "COMPUTE_WH", - "database": "TESTDB", - "schema": "PUBLIC", - "role": "SYSADMIN" - } - monkeypatch.setenv("test_snowflake", json.dumps(conn)) - -@pytest.fixture -def aws_conn_env(monkeypatch): - """Sets up a realistic AWS connection env var.""" - conn = { - "access_key_id": "AKIAIOSFODNN7EXAMPLE", - "secret_access_key": "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY", - "region": "us-east-1", - "query_results_path": "s3://my-bucket/results/" - } - monkeypatch.setenv("test_aws", json.dumps(conn)) - -@pytest.fixture -def slack_conn_env(monkeypatch): - """Sets up a Slack webhook connection env var.""" - monkeypatch.setenv("test_slack", "https://hooks.slack.com/services/T00/B00/xxxx") - -@pytest.fixture -def bruin_context_env(monkeypatch): - """Sets up a full Bruin runtime context.""" - monkeypatch.setenv("BRUIN_START_DATE", "2024-01-15") - monkeypatch.setenv("BRUIN_END_DATE", "2024-01-16") - monkeypatch.setenv("BRUIN_START_DATETIME", "2024-01-15T13:45:30") - monkeypatch.setenv("BRUIN_END_DATETIME", "2024-01-16T00:00:00") - monkeypatch.setenv("BRUIN_EXECUTION_DATE", "2024-01-15") - monkeypatch.setenv("BRUIN_RUN_ID", "run-abc-123") - monkeypatch.setenv("BRUIN_PIPELINE", "my_pipeline") - monkeypatch.setenv("BRUIN_THIS", "tier1.my_asset") - monkeypatch.setenv("BRUIN_FULL_REFRESH", "1") - monkeypatch.setenv("BRUIN_VARS", '{"segment": "enterprise", "horizon": 30}') - -@pytest.fixture -def mock_bruin_cli(): - """Mocks subprocess.run for bruin CLI calls.""" - with patch("subprocess.run") as mock_run: - mock_run.return_value = MagicMock(stdout="[]", stderr="", returncode=0) - yield mock_run -``` - -## Test Organization - -``` -tests/ - conftest.py # shared fixtures above - test_context.py # context parsing (monkeypatch only, no mocks) - test_query.py # query CLI wrapper (mock subprocess) - test_connection.py # connection parsing + client creation - test_slack.py # slack helper - test_gsheets.py # google sheets helper - test_pipeline.py # CLI wrappers - test_connections_cmd.py # connections list/test - test_exceptions.py # error handling and messages -``` - -## Running Tests - -```bash -# all tests -pytest - -# single module -pytest tests/test_context.py - -# with coverage -pytest --cov=bruin --cov-report=term-missing -``` - -## What We Do NOT Test - -- Real database connections (that's Bruin CLI's job) -- Real Bruin CLI execution (we trust it works) -- Platform client library internals (google-cloud-bigquery, psycopg2, etc.) - -We only test our logic: parsing, arg building, type conversion, error handling. diff --git a/pyproject.toml b/pyproject.toml index 404ca2e..a3c0899 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,17 +4,16 @@ build-backend = "hatchling.build" [project] name = "bruin-sdk" -version = "0.3.1" +version = "0.5.2" description = "Python SDK for Bruin CLI — query databases, parse context, and access connections with zero boilerplate." -readme = "docs/README.md" +readme = "README.md" license = "Apache-2.0" -requires-python = ">=3.9" +requires-python = ">=3.10" authors = [{ name = "Bruin Team" }] classifiers = [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", @@ -24,7 +23,7 @@ dependencies = ["pandas"] [project.urls] Homepage = "https://github.com/bruin-data/bruin" -Repository = "https://github.com/bruin-data/bruin-python" +Repository = "https://github.com/bruin-data/python-sdk" Documentation = "https://docs.getbruin.com" [project.optional-dependencies] @@ -42,7 +41,7 @@ athena = ["pyathena"] trino = ["trino"] motherduck = ["duckdb"] synapse = ["pymssql"] -fabric = ["pymssql"] +fabric = ["pymssql", "pyodbc", "azure-identity"] oracle = ["oracledb"] db2 = ["ibm-db"] hana = ["hdbcli"] @@ -70,7 +69,7 @@ all = [ "bruin-sdk[spanner]", "bruin-sdk[vertica]", ] -dev = ["pytest", "pytest-cov"] +dev = ["pytest", "pytest-cov", "ruff"] [tool.hatch.build.targets.wheel] packages = ["src/bruin"] @@ -80,3 +79,10 @@ testpaths = ["tests"] markers = [ "integration: tests requiring real database connections (may be slow)", ] + +[tool.ruff] +target-version = "py310" +line-length = 100 + +[tool.ruff.lint] +select = ["E", "F", "I", "W"] diff --git a/src/bruin/__init__.py b/src/bruin/__init__.py index 0fbb831..776c815 100644 --- a/src/bruin/__init__.py +++ b/src/bruin/__init__.py @@ -1,8 +1,14 @@ """Bruin SDK — zero-boilerplate access to Bruin-managed connections and context.""" +from importlib.metadata import PackageNotFoundError, version + from bruin._connection import get_connection from bruin._context import context from bruin._query import query -__version__ = "0.3.1" +try: + __version__ = version("bruin-sdk") +except PackageNotFoundError: # source tree without an installed distribution + __version__ = "0.0.0.dev0" + __all__ = ["__version__", "context", "get_connection", "query"] diff --git a/src/bruin/_connection.py b/src/bruin/_connection.py index 8f50fc4..b07e7fd 100644 --- a/src/bruin/_connection.py +++ b/src/bruin/_connection.py @@ -1,6 +1,7 @@ import json import logging import os +import struct from bruin.exceptions import ( ConnectionNotFoundError, @@ -11,6 +12,13 @@ logger = logging.getLogger("bruin") +def _as_bool(value) -> bool: + """Interpret a connection field as a boolean, tolerating string payloads.""" + if isinstance(value, str): + return value.lower() == "true" + return bool(value) + + class Connection: """A Bruin-managed database connection with lazy client initialization.""" @@ -32,7 +40,7 @@ def client(self): self._client = _create_client(self.type, self.raw) return self._client - def query(self, sql: str) -> "pd.DataFrame | None": + def query(self, sql: str) -> "pd.DataFrame | None": # noqa: F821 """Execute *sql* on this connection. Returns a pandas DataFrame for data-returning statements, @@ -73,7 +81,7 @@ def __init__(self, name: str, raw: dict): def _uses_adc(self) -> bool: """Return True when the connection is configured for Application Default Credentials.""" - return self.raw.get("use_application_default_credentials") in ("true", "True", True) + return _as_bool(self.raw.get("use_application_default_credentials")) def _parse_sa_info(self): """Parse the service account JSON from the connection payload.""" @@ -136,7 +144,8 @@ def bigquery(self): ) logger.debug( "Creating BigQuery client for '%s' (project=%s)", - self.name, self.raw.get("project_id"), + self.name, + self.raw.get("project_id"), ) self._bigquery_client = bigquery.Client( credentials=self.credentials, @@ -193,7 +202,7 @@ def _create_client(conn_type: str, raw): "redshift": _create_redshift, "mssql": _create_mssql, "synapse": _create_mssql, - "fabric": _create_mssql, + "fabric": _create_fabric, "mysql": _create_mysql, "duckdb": _create_duckdb, "databricks": _create_databricks, @@ -239,8 +248,10 @@ def _create_snowflake(raw: dict): private_key_pem = raw.get("private_key", "") if private_key_pem: from cryptography.hazmat.primitives import serialization + p_key = serialization.load_pem_private_key( - private_key_pem.encode(), password=None, + private_key_pem.encode(), + password=None, ) kwargs["private_key"] = p_key.private_bytes( encoding=serialization.Encoding.DER, @@ -294,8 +305,7 @@ def _create_mssql(raw: dict): import pymssql except ImportError: raise ImportError( - "Install bruin-sdk[mssql] to use MSSQL connections: " - "pip install 'bruin-sdk[mssql]'" + "Install bruin-sdk[mssql] to use MSSQL connections: pip install 'bruin-sdk[mssql]'" ) return pymssql.connect( server=raw["host"], @@ -306,13 +316,106 @@ def _create_mssql(raw: dict): ) +_FABRIC_TOKEN_SCOPE = "https://database.windows.net/.default" + +# SQL_COPT_SS_ACCESS_TOKEN — the msodbcsql pre-connect attribute that carries an Entra ID token. +_SQL_COPT_SS_ACCESS_TOKEN = 1256 + + +def _fabric_driver(raw: dict) -> str: + """Pick the ODBC driver to talk to Fabric with.""" + import pyodbc + + installed = pyodbc.drivers() + configured = raw.get("driver") + if configured: + if configured not in installed: + raise ConnectionTypeError( + f"ODBC driver '{configured}' is not installed. Available drivers: " + f"{', '.join(installed) or '(none)'}." + ) + return configured + + candidates = sorted( + (d for d in installed if d.startswith("ODBC Driver ") and d.endswith(" for SQL Server")), + reverse=True, + ) + if not candidates: + raise ConnectionTypeError( + "No 'ODBC Driver NN for SQL Server' is installed, which is required for Microsoft " + "Entra ID authentication against Fabric. Install msodbcsql18: " + "https://learn.microsoft.com/sql/connect/odbc/download-odbc-driver-for-sql-server" + ) + return candidates[0] + + +def _fabric_token_struct(raw: dict) -> bytes: + """Fetch an Entra ID access token and pack it the way msodbcsql expects.""" + try: + from azure.identity import ClientSecretCredential, DefaultAzureCredential + except ImportError: + raise ImportError( + "Install bruin-sdk[fabric] to use Microsoft Entra ID authentication: " + "pip install 'bruin-sdk[fabric]'" + ) + + if _as_bool(raw.get("use_azure_default_credential")): + logger.debug("Using DefaultAzureCredential for Fabric connection") + credential = DefaultAzureCredential() + else: + logger.debug("Using service principal %s for Fabric connection", raw["client_id"]) + credential = ClientSecretCredential( + tenant_id=raw["tenant_id"], + client_id=raw["client_id"], + client_secret=raw["client_secret"], + ) + + token = credential.get_token(_FABRIC_TOKEN_SCOPE).token.encode("utf-16-le") + return struct.pack(f" "Connection | GCPConnection": types_raw = os.environ.get("BRUIN_CONNECTION_TYPES") if types_raw is None: raise ConnectionNotFoundError( - f"BRUIN_CONNECTION_TYPES env var is not set. " - f"Are you running inside 'bruin run'?" + "BRUIN_CONNECTION_TYPES env var is not set. Are you running inside 'bruin run'?" ) try: type_map = json.loads(types_raw) except (json.JSONDecodeError, TypeError) as exc: - raise ConnectionParseError( - f"Failed to parse BRUIN_CONNECTION_TYPES: {exc}" - ) from exc + raise ConnectionParseError(f"Failed to parse BRUIN_CONNECTION_TYPES: {exc}") from exc conn_type = type_map.get(name) if conn_type is None: @@ -567,8 +663,7 @@ def get_connection(name: str) -> "Connection | GCPConnection": raw_value = os.environ.get(name) if raw_value is None: raise ConnectionNotFoundError( - f"Connection '{name}' is declared in BRUIN_CONNECTION_TYPES but " - f"its env var is not set." + f"Connection '{name}' is declared in BRUIN_CONNECTION_TYPES but its env var is not set." ) if conn_type == "generic": diff --git a/src/bruin/_context.py b/src/bruin/_context.py index 0edc9ca..393a133 100644 --- a/src/bruin/_context.py +++ b/src/bruin/_context.py @@ -16,9 +16,7 @@ def _parse_date(env_var: str) -> "datetime.date | None": try: return datetime.date.fromisoformat(val) except ValueError: - raise BruinError( - f"Invalid {env_var} value '{val}': expected ISO-8601 date (YYYY-MM-DD)." - ) + raise BruinError(f"Invalid {env_var} value '{val}': expected ISO-8601 date (YYYY-MM-DD).") def _parse_datetime(env_var: str) -> "datetime.datetime | None": @@ -29,10 +27,59 @@ def _parse_datetime(env_var: str) -> "datetime.datetime | None": try: return datetime.datetime.fromisoformat(val) except ValueError: - raise BruinError( - f"Invalid {env_var} value '{val}': expected ISO-8601 datetime " - f"(YYYY-MM-DDThh:mm:ss)." - ) + raise BruinError(f"Invalid {env_var} value '{val}': expected ISO-8601 datetime.") + + +def _coerce_value(value, type_def: dict): + """Coerce a single value to match a JSON Schema type definition.""" + if value is None: + return None + schema_type = type_def.get("type") + if schema_type == "string": + return str(value) + if schema_type == "integer": + return int(value) + if schema_type == "number": + return float(value) + if schema_type == "boolean": + if isinstance(value, str): + if value.lower() in ("true", "1"): + return True + if value.lower() in ("false", "0"): + return False + raise ValueError(f"Cannot convert '{value}' to boolean") + return bool(value) + if schema_type == "array": + if not isinstance(value, list): + return value + items_def = type_def.get("items") + if items_def: + return [_coerce_value(item, items_def) for item in value] + return value + if schema_type == "object": + if not isinstance(value, dict): + return value + props = type_def.get("properties", {}) + return {k: _coerce_value(v, props[k]) if k in props else v for k, v in value.items()} + return value # unknown type → passthrough + + +def _coerce_vars(values: dict, schema: dict) -> dict: + """Apply schema-based type coercion to all variables.""" + result = {} + for key, val in values.items(): + type_def = schema.get(key) + if type_def: + try: + result[key] = _coerce_value(val, type_def) + except (ValueError, TypeError) as exc: + target = type_def.get("type") + raise ValueError( + f"Cannot coerce variable '{key}' (value={val!r}) to {target}: {exc}" + ) from exc + else: + result[key] = val + return result class _BruinContext: @@ -46,22 +93,38 @@ class _BruinContext: def start_date(self) -> "datetime.date | None": return _parse_date("BRUIN_START_DATE") - @property - def end_date(self) -> "datetime.date | None": - return _parse_date("BRUIN_END_DATE") - @property def start_datetime(self) -> "datetime.datetime | None": return _parse_datetime("BRUIN_START_DATETIME") + @property + def start_timestamp(self) -> "datetime.datetime | None": + return _parse_datetime("BRUIN_START_TIMESTAMP") + + @property + def end_date(self) -> "datetime.date | None": + return _parse_date("BRUIN_END_DATE") + @property def end_datetime(self) -> "datetime.datetime | None": return _parse_datetime("BRUIN_END_DATETIME") + @property + def end_timestamp(self) -> "datetime.datetime | None": + return _parse_datetime("BRUIN_END_TIMESTAMP") + @property def execution_date(self) -> "datetime.date | None": return _parse_date("BRUIN_EXECUTION_DATE") + @property + def execution_datetime(self) -> "datetime.datetime | None": + return _parse_datetime("BRUIN_EXECUTION_DATETIME") + + @property + def execution_timestamp(self) -> "datetime.datetime | None": + return _parse_datetime("BRUIN_EXECUTION_TIMESTAMP") + @property def run_id(self) -> "str | None": return os.environ.get("BRUIN_RUN_ID") @@ -82,6 +145,10 @@ def connection(self) -> "str | None": def is_full_refresh(self) -> bool: return os.environ.get("BRUIN_FULL_REFRESH") == "1" + @property + def commit_hash(self) -> "str | None": + return os.environ.get("BRUIN_COMMIT_HASH") + @property def vars(self) -> dict: val = os.environ.get("BRUIN_VARS") @@ -90,14 +157,21 @@ def vars(self) -> dict: try: parsed = json.loads(val) except json.JSONDecodeError as exc: - raise BruinError( - f"Invalid BRUIN_VARS value: expected valid JSON. {exc}" - ) from exc + raise BruinError(f"Invalid BRUIN_VARS value: expected valid JSON. {exc}") from exc if not isinstance(parsed, dict): raise BruinError( - f"Invalid BRUIN_VARS value: expected a JSON object, " - f"got {type(parsed).__name__}." + f"Invalid BRUIN_VARS value: expected a JSON object, got {type(parsed).__name__}." ) + schema_raw = os.environ.get("BRUIN_VARS_SCHEMA") + if schema_raw: + try: + schema = json.loads(schema_raw) + except (json.JSONDecodeError, TypeError): + return parsed # bad schema → return raw values + try: + return _coerce_vars(parsed, schema) + except (ValueError, TypeError) as exc: + raise BruinError(f"Cannot coerce BRUIN_VARS: {exc}") from exc return parsed diff --git a/src/bruin/_query.py b/src/bruin/_query.py index ec3d6e9..4895f45 100644 --- a/src/bruin/_query.py +++ b/src/bruin/_query.py @@ -8,16 +8,42 @@ logger = logging.getLogger("bruin") # Connection types that use the generic PEP 249 (DBAPI) cursor path. -_DBAPI_TYPES = frozenset(( - "postgres", "redshift", "mssql", "synapse", "fabric", "mysql", - "athena", "trino", "sqlite", "oracle", "db2", "hana", "spanner", "vertica", -)) +_DBAPI_TYPES = frozenset( + ( + "postgres", + "redshift", + "mssql", + "synapse", + "fabric", + "mysql", + "athena", + "trino", + "sqlite", + "oracle", + "db2", + "hana", + "spanner", + "vertica", + ) +) # Subset of _DBAPI_TYPES that require an explicit commit() for DDL/DML. -_TRANSACTIONAL = frozenset(( - "postgres", "redshift", "mssql", "synapse", "fabric", "mysql", - "sqlite", "oracle", "db2", "hana", "spanner", "vertica", -)) +_TRANSACTIONAL = frozenset( + ( + "postgres", + "redshift", + "mssql", + "synapse", + "fabric", + "mysql", + "sqlite", + "oracle", + "db2", + "hana", + "spanner", + "vertica", + ) +) def _annotate_sql(sql: str) -> str: @@ -35,15 +61,15 @@ def _annotate_sql(sql: str) -> str: def _run_query(conn, sql: str): """Core query execution shared by ``query()`` and ``Connection.query()``.""" if conn.type == "generic": - raise ConnectionTypeError( - f"Cannot run queries against generic connection '{conn.name}'." - ) + raise ConnectionTypeError(f"Cannot run queries against generic connection '{conn.name}'.") annotated = _annotate_sql(sql) logger.debug( "Executing query on '%s' (%s, %d chars)", - conn.name, conn.type, len(sql), + conn.name, + conn.type, + len(sql), ) t0 = time.monotonic() @@ -52,15 +78,16 @@ def _run_query(conn, sql: str): except ConnectionTypeError: raise except Exception as exc: - raise QueryError( - f"Query failed on connection '{conn.name}' ({conn.type}): {exc}" - ) from exc + raise QueryError(f"Query failed on connection '{conn.name}' ({conn.type}): {exc}") from exc elapsed = time.monotonic() - t0 if result is not None: logger.debug( "Query on '%s' complete → %d rows x %d cols in %.2fs", - conn.name, len(result), len(result.columns), elapsed, + conn.name, + len(result), + len(result.columns), + elapsed, ) else: logger.debug("Query on '%s' complete (no result set) in %.2fs", conn.name, elapsed) @@ -68,7 +95,7 @@ def _run_query(conn, sql: str): return result -def query(sql: str, connection: str | None = None) -> "pd.DataFrame | None": +def query(sql: str, connection: str | None = None) -> "pd.DataFrame | None": # noqa: F821 """Execute *sql* against a Bruin-managed connection. Parameters @@ -87,6 +114,7 @@ def query(sql: str, connection: str | None = None) -> "pd.DataFrame | None": """ if connection is None: from bruin._context import context + connection = context.connection if connection is None: raise ConnectionNotFoundError( @@ -120,6 +148,7 @@ def _execute(conn, sql: str): if conn.type in _DBAPI_TYPES: import pandas as pd + client = conn.client cur = client.cursor() try: @@ -145,6 +174,7 @@ def _execute(conn, sql: str): cur.execute(sql) if cur.description: import pandas as pd + cols = [desc[0] for desc in cur.description] return pd.DataFrame(cur.fetchall(), columns=cols) return None @@ -155,12 +185,11 @@ def _execute(conn, sql: str): result = conn.client.query(sql) if result.column_names: import pandas as pd + return pd.DataFrame( result.result_rows, columns=result.column_names, ) return None - raise ConnectionTypeError( - f"query() does not support connection type '{conn.type}'." - ) + raise ConnectionTypeError(f"query() does not support connection type '{conn.type}'.") diff --git a/tests/conftest.py b/tests/conftest.py index 2ac211c..0b84693 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -70,6 +70,18 @@ def postgres_connection_json(): } +@pytest.fixture +def redshift_connection_json(): + return { + "host": "redshift-cluster.abc123.us-east-1.redshift.amazonaws.com", + "port": 5439, + "username": "admin", + "password": "s3cret", + "database": "analytics", + "ssl_mode": "require", + } + + @pytest.fixture def mssql_connection_json(): return { @@ -162,6 +174,30 @@ def fabric_connection_json(): } +@pytest.fixture +def fabric_service_principal_connection_json(): + """Fabric connection using a Microsoft Entra ID service principal (no username).""" + return { + "host": "sql-endpoint-guid.datawarehouse.fabric.microsoft.com", + "port": 1433, + "database": "warehouse", + "client_id": "app-id", + "client_secret": "app-secret", + "tenant_id": "tenant-id", + } + + +@pytest.fixture +def fabric_azure_default_connection_json(): + """Fabric connection using the DefaultAzureCredential chain (no username).""" + return { + "host": "sql-endpoint-guid.datawarehouse.fabric.microsoft.com", + "port": 1433, + "database": "warehouse", + "use_azure_default_credential": True, + } + + @pytest.fixture def oracle_connection_json(): return { diff --git a/tests/e2e/conftest.py b/tests/e2e/conftest.py index dfcf659..88c98c0 100644 --- a/tests/e2e/conftest.py +++ b/tests/e2e/conftest.py @@ -12,9 +12,7 @@ def _find_bruin(): return explicit # 2. Dev build from the sibling bruin repo - repo_bin = os.path.join( - os.path.dirname(__file__), "..", "..", "..", "bruin", "bin", "bruin" - ) + repo_bin = os.path.join(os.path.dirname(__file__), "..", "..", "..", "bruin", "bin", "bruin") repo_bin = os.path.normpath(repo_bin) if os.path.isfile(repo_bin) and os.access(repo_bin, os.X_OK): return repo_bin diff --git a/tests/e2e/test_bruin_run.py b/tests/e2e/test_bruin_run.py index 5644d5e..080a6c3 100644 --- a/tests/e2e/test_bruin_run.py +++ b/tests/e2e/test_bruin_run.py @@ -12,7 +12,6 @@ import json import os import subprocess -import sys import textwrap import pytest @@ -29,25 +28,36 @@ def pipeline_dir(tmp_path): subprocess.run(["git", "init"], cwd=str(tmp_path), capture_output=True, check=True) subprocess.run( ["git", "commit", "--allow-empty", "-m", "init"], - cwd=str(tmp_path), capture_output=True, check=True, - env={**os.environ, "GIT_AUTHOR_NAME": "test", "GIT_AUTHOR_EMAIL": "test@test.com", - "GIT_COMMITTER_NAME": "test", "GIT_COMMITTER_EMAIL": "test@test.com"}, + cwd=str(tmp_path), + capture_output=True, + check=True, + env={ + **os.environ, + "GIT_AUTHOR_NAME": "test", + "GIT_AUTHOR_EMAIL": "test@test.com", + "GIT_COMMITTER_NAME": "test", + "GIT_COMMITTER_EMAIL": "test@test.com", + }, ) # .bruin.yml (project config — no connections needed for context-only test) - (tmp_path / ".bruin.yml").write_text(textwrap.dedent("""\ + (tmp_path / ".bruin.yml").write_text( + textwrap.dedent("""\ environments: default: connections: {} - """)) + """) + ) # pipeline.yml pipeline_dir = tmp_path / "pipeline" pipeline_dir.mkdir() - (pipeline_dir / "pipeline.yml").write_text(textwrap.dedent("""\ + (pipeline_dir / "pipeline.yml").write_text( + textwrap.dedent("""\ name: test_pipeline schedule: daily - """)) + """) + ) assets_dir = pipeline_dir / "assets" assets_dir.mkdir() @@ -96,9 +106,12 @@ def test_context_available_in_asset(self, bruin_bin, pipeline_dir): # Run bruin result = subprocess.run( [ - bruin_bin, "run", - "--start-date", "2024-06-01", - "--end-date", "2024-06-02", + bruin_bin, + "run", + "--start-date", + "2024-06-01", + "--end-date", + "2024-06-02", str(pipe_dir / "assets" / "test_context.py"), ], capture_output=True, @@ -107,8 +120,12 @@ def test_context_available_in_asset(self, bruin_bin, pipeline_dir): timeout=120, ) - assert result.returncode == 0, f"bruin run failed:\nstdout: {result.stdout}\nstderr: {result.stderr}" - assert output_file.exists(), f"Asset did not produce output file.\nstdout: {result.stdout}\nstderr: {result.stderr}" + assert result.returncode == 0, ( + f"bruin run failed:\nstdout: {result.stdout}\nstderr: {result.stderr}" + ) + assert output_file.exists(), ( + f"Asset did not produce output file.\nstdout: {result.stdout}\nstderr: {result.stderr}" + ) output = json.loads(output_file.read_text()) assert output["asset_name"] == "test_context" @@ -119,21 +136,120 @@ def test_context_available_in_asset(self, bruin_bin, pipeline_dir): assert output["has_bruin_this"] is True +class TestVarsCoercion: + """Verify that BRUIN_VARS_SCHEMA is injected and the SDK coerces types.""" + + def test_vars_coerced_to_schema_types(self, bruin_bin, pipeline_dir): + root, pipe_dir, assets_dir = pipeline_dir + + # Pipeline with typed variables + (pipe_dir / "pipeline.yml").write_text( + textwrap.dedent("""\ + name: test_pipeline + schedule: daily + variables: + env: + type: string + default: dev + count: + type: integer + default: 10 + rate: + type: number + default: 1.5 + debug: + type: boolean + default: false + """) + ) + + output_file = root / "vars_output.json" + asset_code = textwrap.dedent(f'''\ + """ @bruin + + name: test_vars + type: python + + @bruin """ + + import json + import os + from bruin import context + + v = context.vars + result = {{ + "vars": v, + "types": {{k: type(val).__name__ for k, val in v.items()}}, + "has_schema": "BRUIN_VARS_SCHEMA" in os.environ, + }} + + with open("{output_file}", "w") as f: + json.dump(result, f) + ''') + (assets_dir / "test_vars.py").write_text(asset_code) + + result = subprocess.run( + [ + bruin_bin, + "run", + "--start-date", + "2024-06-01", + "--end-date", + "2024-06-02", + "--var", + "count=42", + "--var", + "debug=true", + str(pipe_dir / "assets" / "test_vars.py"), + ], + capture_output=True, + text=True, + cwd=str(root), + timeout=120, + ) + + assert result.returncode == 0, ( + f"bruin run failed:\nstdout: {result.stdout}\nstderr: {result.stderr}" + ) + assert output_file.exists(), ( + f"Asset did not produce output file.\nstdout: {result.stdout}\nstderr: {result.stderr}" + ) + + output = json.loads(output_file.read_text()) + + if not output["has_schema"]: + pytest.skip("bruin binary does not inject BRUIN_VARS_SCHEMA yet") + + # CLI overrides were strings — SDK should have coerced them + assert output["vars"]["count"] == 42 + assert output["types"]["count"] == "int" + assert output["vars"]["debug"] is True + assert output["types"]["debug"] == "bool" + # Defaults should keep their types + assert output["vars"]["env"] == "dev" + assert output["types"]["env"] == "str" + assert output["vars"]["rate"] == 1.5 + assert output["types"]["rate"] == "float" + + class TestConnectionEnvVar: - """Verify BRUIN_CONNECTION is injected when asset has a connection field.""" + """Verify BRUIN_CONNECTION is injected when asset has a connection field. + + Requires a bruin binary built with BRUIN_CONNECTION support + (feat/auto-inject-connection-for-python). Skips gracefully if the + binary doesn't inject this env var yet. + """ def test_bruin_connection_injected(self, bruin_bin, pipeline_dir): root, pipe_dir, assets_dir = pipeline_dir output_file = root / "conn_output.json" - # Use a secret injection instead of a real connection to avoid - # bruin trying to validate credentials at init time. asset_code = textwrap.dedent(f'''\ """ @bruin name: test_conn type: python - connection: my_duckdb + connection: my_conn @bruin """ @@ -151,21 +267,26 @@ def test_bruin_connection_injected(self, bruin_bin, pipeline_dir): ''') (assets_dir / "test_conn.py").write_text(asset_code) - # Use a DuckDB connection — no external credentials needed - (root / ".bruin.yml").write_text(textwrap.dedent("""\ + # Use a generic connection — always available, no credentials needed + (root / ".bruin.yml").write_text( + textwrap.dedent("""\ environments: default: connections: - duckdb: - - name: my_duckdb - path: ":memory:" - """)) + generic: + - name: my_conn + value: dummy + """) + ) result = subprocess.run( [ - bruin_bin, "run", - "--start-date", "2024-06-01", - "--end-date", "2024-06-02", + bruin_bin, + "run", + "--start-date", + "2024-06-01", + "--end-date", + "2024-06-02", str(pipe_dir / "assets" / "test_conn.py"), ], capture_output=True, @@ -174,9 +295,17 @@ def test_bruin_connection_injected(self, bruin_bin, pipeline_dir): timeout=120, ) - assert result.returncode == 0, f"bruin run failed:\nstdout: {result.stdout}\nstderr: {result.stderr}" - assert output_file.exists(), f"Asset did not produce output file.\nstdout: {result.stdout}\nstderr: {result.stderr}" + assert result.returncode == 0, ( + f"bruin run failed:\nstdout: {result.stdout}\nstderr: {result.stderr}" + ) + assert output_file.exists(), ( + f"Asset did not produce output file.\nstdout: {result.stdout}\nstderr: {result.stderr}" + ) output = json.loads(output_file.read_text()) - assert output["connection"] == "my_duckdb" + + if not output["has_bruin_connection"]: + pytest.skip("bruin binary does not inject BRUIN_CONNECTION yet") + + assert output["connection"] == "my_conn" assert output["has_bruin_connection"] is True diff --git a/tests/integration/conftest.py b/tests/integration/conftest.py index 836fb7d..622fe8b 100644 --- a/tests/integration/conftest.py +++ b/tests/integration/conftest.py @@ -19,11 +19,11 @@ import pytest - # --------------------------------------------------------------------------- # Auto-apply the integration marker to every test collected in this directory # --------------------------------------------------------------------------- + def pytest_collection_modifyitems(items): for item in items: if "/integration/" in str(item.fspath): @@ -34,6 +34,7 @@ def pytest_collection_modifyitems(items): # DuckDB (no credentials needed — always available if duckdb is installed) # --------------------------------------------------------------------------- + @pytest.fixture def duckdb_env(monkeypatch): """Set up a DuckDB :memory: connection via bruin env vars.""" @@ -49,11 +50,6 @@ def duckdb_env(monkeypatch): # BigQuery (requires real GCP credentials) # --------------------------------------------------------------------------- -requires_bigquery = pytest.mark.skipif( - not os.environ.get("BRUIN_TEST_BQ_PROJECT_ID"), - reason="Missing env var: BRUIN_TEST_BQ_PROJECT_ID", -) - @pytest.fixture def bq_env(monkeypatch): @@ -81,21 +77,6 @@ def bq_env(monkeypatch): # Snowflake (requires real Snowflake credentials) # --------------------------------------------------------------------------- -_SF_REQUIRED = ( - "BRUIN_TEST_SF_ACCOUNT", - "BRUIN_TEST_SF_USERNAME", - "BRUIN_TEST_SF_PASSWORD", - "BRUIN_TEST_SF_DATABASE", - "BRUIN_TEST_SF_WAREHOUSE", -) - -requires_snowflake = pytest.mark.skipif( - not all(os.environ.get(v) for v in _SF_REQUIRED), - reason="Missing env vars: " + ", ".join( - v for v in _SF_REQUIRED if not os.environ.get(v) - ), -) - @pytest.fixture def sf_env(monkeypatch): @@ -104,12 +85,17 @@ def sf_env(monkeypatch): "BRUIN_CONNECTION_TYPES", json.dumps({"test_sf": "snowflake"}), ) - monkeypatch.setenv("test_sf", json.dumps({ - "account": os.environ["BRUIN_TEST_SF_ACCOUNT"], - "username": os.environ["BRUIN_TEST_SF_USERNAME"], - "password": os.environ["BRUIN_TEST_SF_PASSWORD"], - "database": os.environ["BRUIN_TEST_SF_DATABASE"], - "warehouse": os.environ["BRUIN_TEST_SF_WAREHOUSE"], - "schema": os.environ.get("BRUIN_TEST_SF_SCHEMA", "PUBLIC"), - "role": os.environ.get("BRUIN_TEST_SF_ROLE", ""), - })) + monkeypatch.setenv( + "test_sf", + json.dumps( + { + "account": os.environ["BRUIN_TEST_SF_ACCOUNT"], + "username": os.environ["BRUIN_TEST_SF_USERNAME"], + "password": os.environ["BRUIN_TEST_SF_PASSWORD"], + "database": os.environ["BRUIN_TEST_SF_DATABASE"], + "warehouse": os.environ["BRUIN_TEST_SF_WAREHOUSE"], + "schema": os.environ.get("BRUIN_TEST_SF_SCHEMA", "PUBLIC"), + "role": os.environ.get("BRUIN_TEST_SF_ROLE", ""), + } + ), + ) diff --git a/tests/integration/test_bigquery.py b/tests/integration/test_bigquery.py index ff89f9c..8c9e893 100644 --- a/tests/integration/test_bigquery.py +++ b/tests/integration/test_bigquery.py @@ -22,9 +22,11 @@ import pytest from bruin import query -from tests.integration.conftest import requires_bigquery -pytestmark = requires_bigquery +pytestmark = pytest.mark.skipif( + not os.environ.get("BRUIN_TEST_BQ_PROJECT_ID"), + reason="Missing env var: BRUIN_TEST_BQ_PROJECT_ID", +) @pytest.fixture diff --git a/tests/integration/test_snowflake.py b/tests/integration/test_snowflake.py index b7d9189..6e2eea6 100644 --- a/tests/integration/test_snowflake.py +++ b/tests/integration/test_snowflake.py @@ -18,15 +18,26 @@ Snowflake detection uses ``cursor.description`` after ``cursor.execute()``. """ +import os import uuid import pandas as pd import pytest from bruin import query -from tests.integration.conftest import requires_snowflake -pytestmark = requires_snowflake +_SF_REQUIRED = ( + "BRUIN_TEST_SF_ACCOUNT", + "BRUIN_TEST_SF_USERNAME", + "BRUIN_TEST_SF_PASSWORD", + "BRUIN_TEST_SF_DATABASE", + "BRUIN_TEST_SF_WAREHOUSE", +) + +pytestmark = pytest.mark.skipif( + not all(os.environ.get(v) for v in _SF_REQUIRED), + reason="Missing env vars: " + ", ".join(v for v in _SF_REQUIRED if not os.environ.get(v)), +) @pytest.fixture diff --git a/tests/test_connection.py b/tests/test_connection.py index fbb4026..9cd5145 100644 --- a/tests/test_connection.py +++ b/tests/test_connection.py @@ -11,11 +11,11 @@ ConnectionTypeError, ) - # --------------------------------------------------------------------------- # Fixtures # --------------------------------------------------------------------------- + @pytest.fixture def bq_env(monkeypatch, bq_connection_json): """Set up env vars for a BigQuery connection.""" @@ -57,11 +57,13 @@ def generic_env(monkeypatch): def multi_env(monkeypatch, bq_connection_json, snowflake_connection_json): monkeypatch.setenv( "BRUIN_CONNECTION_TYPES", - json.dumps({ - "my_bigquery": "google_cloud_platform", - "my_sf": "snowflake", - "slack_webhook": "generic", - }), + json.dumps( + { + "my_bigquery": "google_cloud_platform", + "my_sf": "snowflake", + "slack_webhook": "generic", + } + ), ) monkeypatch.setenv("my_bigquery", json.dumps(bq_connection_json)) monkeypatch.setenv("my_sf", json.dumps(snowflake_connection_json)) @@ -72,6 +74,7 @@ def multi_env(monkeypatch, bq_connection_json, snowflake_connection_json): # get_connection() — happy paths # --------------------------------------------------------------------------- + class TestGetConnection: def test_returns_gcp_connection_for_bigquery(self, bq_env): conn = get_connection("my_bigquery") @@ -108,6 +111,7 @@ def test_multiple_connections(self, multi_env): # get_connection() — error paths # --------------------------------------------------------------------------- + class TestGetConnectionErrors: def test_no_connection_types_env(self, monkeypatch): monkeypatch.delenv("BRUIN_CONNECTION_TYPES", raising=False) @@ -147,6 +151,7 @@ def test_invalid_connection_json(self, monkeypatch): # Connection.client — lazy init # --------------------------------------------------------------------------- + class TestConnectionClient: def test_generic_raises_connection_type_error(self, generic_env): conn = get_connection("slack_webhook") @@ -182,6 +187,7 @@ def test_postgres_lazy_init(self, mock_create, postgres_env): # Snowflake key-pair auth # --------------------------------------------------------------------------- + class TestSnowflakeKeyPairAuth: def test_keypair_passes_private_key_bytes(self, monkeypatch, snowflake_keypair_connection_json): """When private_key PEM is set, DER bytes are passed instead of password.""" @@ -197,9 +203,13 @@ def test_keypair_passes_private_key_bytes(self, monkeypatch, snowflake_keypair_c mock_connect = MagicMock() conn = get_connection("my_sf") - with patch("snowflake.connector.connect", mock_connect), \ - patch("cryptography.hazmat.primitives.serialization.load_pem_private_key", - return_value=mock_key): + with ( + patch("snowflake.connector.connect", mock_connect), + patch( + "cryptography.hazmat.primitives.serialization.load_pem_private_key", + return_value=mock_key, + ), + ): _ = conn.client call_kwargs = mock_connect.call_args[1] @@ -228,6 +238,7 @@ def test_password_auth_when_no_private_key(self, monkeypatch, snowflake_connecti # GCPConnection # --------------------------------------------------------------------------- + class TestGCPConnection: def test_bigquery_creates_client_with_credentials(self, bq_env, bq_connection_json): import sys @@ -245,13 +256,16 @@ def test_bigquery_creates_client_with_credentials(self, bq_env, bq_connection_js mock_google.oauth2.service_account = mock_sa_module conn = get_connection("my_bigquery") - with patch.dict(sys.modules, { - "google": mock_google, - "google.cloud": mock_google.cloud, - "google.cloud.bigquery": mock_bq_module, - "google.oauth2": mock_google.oauth2, - "google.oauth2.service_account": mock_sa_module, - }): + with patch.dict( + sys.modules, + { + "google": mock_google, + "google.cloud": mock_google.cloud, + "google.cloud.bigquery": mock_bq_module, + "google.oauth2": mock_google.oauth2, + "google.oauth2.service_account": mock_sa_module, + }, + ): result = conn.bigquery() mock_sa_module.Credentials.from_service_account_info.assert_called_once() @@ -270,7 +284,9 @@ def test_client_is_alias_for_bigquery(self, bq_env, bq_connection_json): def test_credentials_import_error(self, bq_env): conn = get_connection("my_bigquery") - with patch.dict("sys.modules", {"google.oauth2": None, "google.oauth2.service_account": None}): + with patch.dict( + "sys.modules", {"google.oauth2": None, "google.oauth2.service_account": None} + ): with pytest.raises(ImportError, match="bruin-sdk\\[bigquery\\]"): _ = conn.credentials @@ -355,6 +371,7 @@ def test_adc_import_error(self, monkeypatch): # Context manager # --------------------------------------------------------------------------- + class TestConnectionContextManager: @patch("bruin._connection._create_postgres") def test_context_manager_closes_client(self, mock_create, postgres_env): @@ -369,7 +386,7 @@ def test_context_manager_closes_client(self, mock_create, postgres_env): @patch("bruin._connection._create_postgres") def test_context_manager_without_client_access(self, mock_create, postgres_env): """Context manager should not fail if client was never accessed.""" - with get_connection("my_pg") as conn: + with get_connection("my_pg") as _conn: pass # never access .client mock_create.assert_not_called() @@ -428,6 +445,7 @@ def test_gcp_context_manager_closes_bigquery_client(self, bq_env): # New connection types # --------------------------------------------------------------------------- + class TestNewConnectionTypes: def test_databricks_connection(self, monkeypatch, databricks_connection_json): monkeypatch.setenv( @@ -555,6 +573,7 @@ def test_vertica_connection(self, monkeypatch, vertica_connection_json): # Import error messages for new types # --------------------------------------------------------------------------- + class TestNewConnectionImportErrors: @patch.dict("sys.modules", {"databricks": None, "databricks.sql": None}) def test_databricks_import_error(self, monkeypatch, databricks_connection_json): @@ -644,7 +663,9 @@ def test_vertica_import_error(self, monkeypatch, vertica_connection_json): with pytest.raises(ImportError, match="bruin-sdk\\[vertica\\]"): _ = conn.client - @patch.dict("sys.modules", {"google.cloud.spanner_dbapi": None, "google": None, "google.cloud": None}) + @patch.dict( + "sys.modules", {"google.cloud.spanner_dbapi": None, "google": None, "google.cloud": None} + ) def test_spanner_import_error(self, monkeypatch, spanner_connection_json): monkeypatch.setenv( "BRUIN_CONNECTION_TYPES", @@ -660,6 +681,7 @@ def test_spanner_import_error(self, monkeypatch, spanner_connection_json): # Lazy client creation for new types # --------------------------------------------------------------------------- + class TestNewConnectionLazyInit: @patch("bruin._connection._create_databricks") def test_databricks_lazy_init(self, mock_create, monkeypatch, databricks_connection_json): @@ -758,11 +780,13 @@ def test_sqlite_creates_real_connection(self, monkeypatch, sqlite_connection_jso # Factory-level tests (verify actual driver kwargs) # --------------------------------------------------------------------------- + class TestFactoryArgs: def test_oracle_service_name(self, oracle_connection_json): mock_mod = MagicMock() with patch.dict("sys.modules", {"oracledb": mock_mod}): from bruin._connection import _create_oracle + _create_oracle(oracle_connection_json) mock_mod.connect.assert_called_once_with( user="system", @@ -776,6 +800,7 @@ def test_oracle_sid(self, oracle_sid_connection_json): mock_mod = MagicMock() with patch.dict("sys.modules", {"oracledb": mock_mod}): from bruin._connection import _create_oracle + _create_oracle(oracle_sid_connection_json) mock_mod.connect.assert_called_once_with( user="system", @@ -789,6 +814,7 @@ def test_db2_connection_string(self, db2_connection_json): mock_mod = MagicMock() with patch.dict("sys.modules", {"ibm_db_dbi": mock_mod}): from bruin._connection import _create_db2 + _create_db2(db2_connection_json) conn_str = mock_mod.connect.call_args[0][0] assert "DATABASE=SAMPLE;" in conn_str @@ -801,6 +827,7 @@ def test_hana_kwargs(self, hana_connection_json): mock_mod = MagicMock() with patch.dict("sys.modules", {"hdbcli": mock_mod, "hdbcli.dbapi": mock_mod.dbapi}): from bruin._connection import _create_hana + _create_hana(hana_connection_json) mock_mod.dbapi.connect.assert_called_once_with( address="hana.example.com", @@ -814,6 +841,7 @@ def test_vertica_kwargs(self, vertica_connection_json): mock_mod = MagicMock() with patch.dict("sys.modules", {"vertica_python": mock_mod}): from bruin._connection import _create_vertica + _create_vertica(vertica_connection_json) mock_mod.connect.assert_called_once_with( host="vertica.example.com", @@ -827,12 +855,16 @@ def test_spanner_kwargs(self, spanner_connection_json): mock_connect = MagicMock() mock_mod = MagicMock() mock_mod.connect = mock_connect - with patch.dict("sys.modules", { - "google": MagicMock(), - "google.cloud": MagicMock(), - "google.cloud.spanner_dbapi": mock_mod, - }): + with patch.dict( + "sys.modules", + { + "google": MagicMock(), + "google.cloud": MagicMock(), + "google.cloud.spanner_dbapi": mock_mod, + }, + ): from bruin._connection import _create_spanner + _create_spanner(spanner_connection_json) mock_connect.assert_called_once_with( instance_id="my-instance", @@ -844,12 +876,139 @@ def test_redshift_uses_port_5439(self): mock_mod = MagicMock() with patch.dict("sys.modules", {"psycopg2": mock_mod}): from bruin._connection import _create_redshift + _create_redshift({"host": "rs.example.com", "username": "admin", "password": "pw"}) _, kwargs = mock_mod.connect.call_args assert kwargs["port"] == 5439 assert kwargs["sslmode"] == "allow" +class TestFabricAuth: + """Fabric picks its driver and credential from the fields on the connection.""" + + @staticmethod + def _mock_azure(token="access-token"): + azure = MagicMock() + identity = MagicMock() + azure.identity = identity + for factory in (identity.ClientSecretCredential, identity.DefaultAzureCredential): + factory.return_value.get_token.return_value.token = token + return azure, identity + + @staticmethod + def _mock_pyodbc(drivers=("ODBC Driver 17 for SQL Server", "ODBC Driver 18 for SQL Server")): + pyodbc = MagicMock() + pyodbc.drivers.return_value = list(drivers) + return pyodbc + + def _connect(self, raw, pyodbc=None): + pyodbc = pyodbc or self._mock_pyodbc() + azure, identity = self._mock_azure() + modules = {"pyodbc": pyodbc, "azure": azure, "azure.identity": identity} + with patch.dict("sys.modules", modules): + from bruin._connection import _create_fabric + + _create_fabric(raw) + return pyodbc, identity + + def test_service_principal_uses_pyodbc_with_access_token( + self, fabric_service_principal_connection_json + ): + pyodbc, identity = self._connect(fabric_service_principal_connection_json) + + identity.ClientSecretCredential.assert_called_once_with( + tenant_id="tenant-id", + client_id="app-id", + client_secret="app-secret", + ) + identity.DefaultAzureCredential.assert_not_called() + + conn_str = pyodbc.connect.call_args[0][0] + assert "DRIVER={ODBC Driver 18 for SQL Server};" in conn_str + assert "SERVER=sql-endpoint-guid.datawarehouse.fabric.microsoft.com,1433;" in conn_str + assert "DATABASE=warehouse;" in conn_str + + # The token is length-prefixed UTF-16-LE, as msodbcsql expects. + token_struct = pyodbc.connect.call_args[1]["attrs_before"][1256] + expected = "access-token".encode("utf-16-le") + assert token_struct == len(expected).to_bytes(4, "little") + expected + + def test_azure_default_credential(self, fabric_azure_default_connection_json): + _, identity = self._connect(fabric_azure_default_connection_json) + identity.DefaultAzureCredential.assert_called_once_with() + identity.ClientSecretCredential.assert_not_called() + + def test_azure_default_credential_as_string(self, fabric_azure_default_connection_json): + """Bruin may serialize the flag as a string rather than a JSON bool.""" + fabric_azure_default_connection_json["use_azure_default_credential"] = "true" + _, identity = self._connect(fabric_azure_default_connection_json) + identity.DefaultAzureCredential.assert_called_once_with() + + def test_sql_auth_falls_back_to_mssql(self, fabric_connection_json): + mock_pymssql = MagicMock() + with patch.dict("sys.modules", {"pymssql": mock_pymssql}): + from bruin._connection import _create_fabric + + _create_fabric(fabric_connection_json) + mock_pymssql.connect.assert_called_once_with( + server="fabric.example.com", + port=1433, + user="admin", + password="s3cret", + database="warehouse", + ) + + def test_service_principal_preferred_over_username( + self, fabric_service_principal_connection_json + ): + fabric_service_principal_connection_json["username"] = "admin" + _, identity = self._connect(fabric_service_principal_connection_json) + identity.ClientSecretCredential.assert_called_once() + + def test_partial_service_principal_without_username_raises( + self, fabric_service_principal_connection_json + ): + del fabric_service_principal_connection_json["client_secret"] + from bruin._connection import _create_fabric + + with pytest.raises(ConnectionParseError, match="missing credentials"): + _create_fabric(fabric_service_principal_connection_json) + + def test_explicit_driver_is_honored(self, fabric_service_principal_connection_json): + fabric_service_principal_connection_json["driver"] = "ODBC Driver 17 for SQL Server" + pyodbc, _ = self._connect(fabric_service_principal_connection_json) + assert "DRIVER={ODBC Driver 17 for SQL Server};" in pyodbc.connect.call_args[0][0] + + def test_missing_explicit_driver_raises(self, fabric_service_principal_connection_json): + fabric_service_principal_connection_json["driver"] = "Nonexistent Driver" + with pytest.raises(ConnectionTypeError, match="is not installed"): + self._connect(fabric_service_principal_connection_json) + + def test_no_odbc_driver_installed_raises(self, fabric_service_principal_connection_json): + with pytest.raises(ConnectionTypeError, match="msodbcsql18"): + self._connect( + fabric_service_principal_connection_json, + pyodbc=self._mock_pyodbc(drivers=["PostgreSQL Unicode"]), + ) + + def test_missing_pyodbc_raises_import_error(self, fabric_service_principal_connection_json): + with patch.dict("sys.modules", {"pyodbc": None}): + from bruin._connection import _create_fabric + + with pytest.raises(ImportError, match=r"bruin-sdk\[fabric\]"): + _create_fabric(fabric_service_principal_connection_json) + + def test_missing_azure_identity_raises_import_error( + self, fabric_service_principal_connection_json + ): + modules = {"pyodbc": self._mock_pyodbc(), "azure": None, "azure.identity": None} + with patch.dict("sys.modules", modules): + from bruin._connection import _create_fabric + + with pytest.raises(ImportError, match=r"bruin-sdk\[fabric\]"): + _create_fabric(fabric_service_principal_connection_json) + + class TestRepr: def test_connection_repr(self): conn = Connection("my_pg", "postgres", {"host": "localhost"}) diff --git a/tests/test_context.py b/tests/test_context.py index 49c62cb..51bf4ab 100644 --- a/tests/test_context.py +++ b/tests/test_context.py @@ -37,6 +37,23 @@ def test_returns_none_when_missing(self, monkeypatch): assert context.start_datetime is None +class TestStartTimestamp: + def test_returns_datetime_with_tz(self, monkeypatch): + monkeypatch.setenv("BRUIN_START_TIMESTAMP", "2024-01-15T10:30:00.000000+00:00") + result = context.start_timestamp + assert result == datetime.datetime(2024, 1, 15, 10, 30, 0, tzinfo=datetime.timezone.utc) + + def test_returns_datetime_with_non_utc_tz(self, monkeypatch): + monkeypatch.setenv("BRUIN_START_TIMESTAMP", "2024-01-15T10:30:00.000000+05:30") + result = context.start_timestamp + tz = datetime.timezone(datetime.timedelta(hours=5, minutes=30)) + assert result == datetime.datetime(2024, 1, 15, 10, 30, 0, tzinfo=tz) + + def test_returns_none_when_missing(self, monkeypatch): + monkeypatch.delenv("BRUIN_START_TIMESTAMP", raising=False) + assert context.start_timestamp is None + + class TestEndDatetime: def test_returns_datetime(self, monkeypatch): monkeypatch.setenv("BRUIN_END_DATETIME", "2024-06-30T23:59:59") @@ -47,6 +64,17 @@ def test_returns_none_when_missing(self, monkeypatch): assert context.end_datetime is None +class TestEndTimestamp: + def test_returns_datetime_with_tz(self, monkeypatch): + monkeypatch.setenv("BRUIN_END_TIMESTAMP", "2024-06-30T23:59:59.000000+00:00") + result = context.end_timestamp + assert result == datetime.datetime(2024, 6, 30, 23, 59, 59, tzinfo=datetime.timezone.utc) + + def test_returns_none_when_missing(self, monkeypatch): + monkeypatch.delenv("BRUIN_END_TIMESTAMP", raising=False) + assert context.end_timestamp is None + + class TestExecutionDate: def test_returns_date(self, monkeypatch): monkeypatch.setenv("BRUIN_EXECUTION_DATE", "2024-03-01") @@ -57,6 +85,27 @@ def test_returns_none_when_missing(self, monkeypatch): assert context.execution_date is None +class TestExecutionDatetime: + def test_returns_datetime(self, monkeypatch): + monkeypatch.setenv("BRUIN_EXECUTION_DATETIME", "2024-03-01T12:00:00") + assert context.execution_datetime == datetime.datetime(2024, 3, 1, 12, 0, 0) + + def test_returns_none_when_missing(self, monkeypatch): + monkeypatch.delenv("BRUIN_EXECUTION_DATETIME", raising=False) + assert context.execution_datetime is None + + +class TestExecutionTimestamp: + def test_returns_datetime_with_tz(self, monkeypatch): + monkeypatch.setenv("BRUIN_EXECUTION_TIMESTAMP", "2024-03-01T12:00:00.000000+00:00") + result = context.execution_timestamp + assert result == datetime.datetime(2024, 3, 1, 12, 0, 0, tzinfo=datetime.timezone.utc) + + def test_returns_none_when_missing(self, monkeypatch): + monkeypatch.delenv("BRUIN_EXECUTION_TIMESTAMP", raising=False) + assert context.execution_timestamp is None + + class TestRunId: def test_returns_string(self, monkeypatch): monkeypatch.setenv("BRUIN_RUN_ID", "abc-123") @@ -97,6 +146,16 @@ def test_returns_none_when_missing(self, monkeypatch): assert context.connection is None +class TestCommitHash: + def test_returns_string(self, monkeypatch): + monkeypatch.setenv("BRUIN_COMMIT_HASH", "abc1234def5678") + assert context.commit_hash == "abc1234def5678" + + def test_returns_none_when_missing(self, monkeypatch): + monkeypatch.delenv("BRUIN_COMMIT_HASH", raising=False) + assert context.commit_hash is None + + class TestIsFullRefresh: def test_true_when_set_to_1(self, monkeypatch): monkeypatch.setenv("BRUIN_FULL_REFRESH", "1") @@ -163,6 +222,310 @@ def test_non_dict_vars_raises_bruin_error(self, monkeypatch): _ = context.vars +class TestVarsWithSchema: + """Tests for type-aware variable coercion using BRUIN_VARS_SCHEMA.""" + + def test_integer_from_string(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"count": "42"})) + monkeypatch.setenv("BRUIN_VARS_SCHEMA", json.dumps({"count": {"type": "integer"}})) + assert context.vars == {"count": 42} + + def test_number_from_string(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"rate": "3.14"})) + monkeypatch.setenv("BRUIN_VARS_SCHEMA", json.dumps({"rate": {"type": "number"}})) + assert context.vars == {"rate": 3.14} + + def test_boolean_true_from_string(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"flag": "true"})) + monkeypatch.setenv("BRUIN_VARS_SCHEMA", json.dumps({"flag": {"type": "boolean"}})) + assert context.vars == {"flag": True} + + def test_boolean_false_from_string(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"flag": "false"})) + monkeypatch.setenv("BRUIN_VARS_SCHEMA", json.dumps({"flag": {"type": "boolean"}})) + assert context.vars == {"flag": False} + + def test_boolean_from_int(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"flag": 1})) + monkeypatch.setenv("BRUIN_VARS_SCHEMA", json.dumps({"flag": {"type": "boolean"}})) + assert context.vars == {"flag": True} + + def test_string_passthrough(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"env": "prod"})) + monkeypatch.setenv("BRUIN_VARS_SCHEMA", json.dumps({"env": {"type": "string"}})) + assert context.vars == {"env": "prod"} + + def test_integer_already_int(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"count": 42})) + monkeypatch.setenv("BRUIN_VARS_SCHEMA", json.dumps({"count": {"type": "integer"}})) + assert context.vars == {"count": 42} + + def test_null_passthrough(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"x": None})) + monkeypatch.setenv("BRUIN_VARS_SCHEMA", json.dumps({"x": {"type": "integer"}})) + assert context.vars == {"x": None} + + def test_array_coercion(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"ids": ["1", "2"]})) + monkeypatch.setenv( + "BRUIN_VARS_SCHEMA", + json.dumps({"ids": {"type": "array", "items": {"type": "integer"}}}), + ) + assert context.vars == {"ids": [1, 2]} + + def test_object_coercion(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"cfg": {"port": "8080"}})) + monkeypatch.setenv( + "BRUIN_VARS_SCHEMA", + json.dumps({"cfg": {"type": "object", "properties": {"port": {"type": "integer"}}}}), + ) + assert context.vars == {"cfg": {"port": 8080}} + + def test_nested_object_in_object(self, monkeypatch): + monkeypatch.setenv( + "BRUIN_VARS", + json.dumps({"db": {"host": "localhost", "opts": {"timeout": "30", "retries": "3"}}}), + ) + monkeypatch.setenv( + "BRUIN_VARS_SCHEMA", + json.dumps( + { + "db": { + "type": "object", + "properties": { + "host": {"type": "string"}, + "opts": { + "type": "object", + "properties": { + "timeout": {"type": "integer"}, + "retries": {"type": "integer"}, + }, + }, + }, + }, + } + ), + ) + assert context.vars == {"db": {"host": "localhost", "opts": {"timeout": 30, "retries": 3}}} + + def test_array_of_objects(self, monkeypatch): + monkeypatch.setenv( + "BRUIN_VARS", + json.dumps({"users": [{"name": "alice", "age": "30"}, {"name": "bob", "age": "25"}]}), + ) + monkeypatch.setenv( + "BRUIN_VARS_SCHEMA", + json.dumps( + { + "users": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": {"type": "string"}, + "age": {"type": "integer"}, + }, + }, + }, + } + ), + ) + assert context.vars == {"users": [{"name": "alice", "age": 30}, {"name": "bob", "age": 25}]} + + def test_object_with_array_property(self, monkeypatch): + monkeypatch.setenv( + "BRUIN_VARS", + json.dumps({"config": {"name": "prod", "ports": ["80", "443"]}}), + ) + monkeypatch.setenv( + "BRUIN_VARS_SCHEMA", + json.dumps( + { + "config": { + "type": "object", + "properties": { + "name": {"type": "string"}, + "ports": {"type": "array", "items": {"type": "integer"}}, + }, + }, + } + ), + ) + assert context.vars == {"config": {"name": "prod", "ports": [80, 443]}} + + def test_array_without_items_schema(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"tags": ["a", "b", "c"]})) + monkeypatch.setenv( + "BRUIN_VARS_SCHEMA", + json.dumps({"tags": {"type": "array"}}), + ) + assert context.vars == {"tags": ["a", "b", "c"]} + + def test_object_with_extra_keys_not_in_properties(self, monkeypatch): + monkeypatch.setenv( + "BRUIN_VARS", + json.dumps({"cfg": {"port": "8080", "debug": "true", "label": "dev"}}), + ) + monkeypatch.setenv( + "BRUIN_VARS_SCHEMA", + json.dumps( + { + "cfg": { + "type": "object", + "properties": {"port": {"type": "integer"}}, + }, + } + ), + ) + assert context.vars == {"cfg": {"port": 8080, "debug": "true", "label": "dev"}} + + def test_deeply_nested_three_levels(self, monkeypatch): + monkeypatch.setenv( + "BRUIN_VARS", + json.dumps( + { + "infra": { + "cluster": { + "node": {"cpu": "4", "memory": "16384", "gpu": "true"}, + }, + }, + } + ), + ) + monkeypatch.setenv( + "BRUIN_VARS_SCHEMA", + json.dumps( + { + "infra": { + "type": "object", + "properties": { + "cluster": { + "type": "object", + "properties": { + "node": { + "type": "object", + "properties": { + "cpu": {"type": "integer"}, + "memory": {"type": "integer"}, + "gpu": {"type": "boolean"}, + }, + }, + }, + }, + }, + }, + } + ), + ) + assert context.vars == { + "infra": {"cluster": {"node": {"cpu": 4, "memory": 16384, "gpu": True}}} + } + + def test_multiple_vars_mixed_types(self, monkeypatch): + monkeypatch.setenv( + "BRUIN_VARS", + json.dumps( + { + "env": "production", + "replicas": "3", + "rate_limit": "1.5", + "debug": "false", + "regions": ["us-east-1", "eu-west-1"], + "db": {"port": "5432", "ssl": "true"}, + } + ), + ) + monkeypatch.setenv( + "BRUIN_VARS_SCHEMA", + json.dumps( + { + "env": {"type": "string"}, + "replicas": {"type": "integer"}, + "rate_limit": {"type": "number"}, + "debug": {"type": "boolean"}, + "regions": {"type": "array", "items": {"type": "string"}}, + "db": { + "type": "object", + "properties": { + "port": {"type": "integer"}, + "ssl": {"type": "boolean"}, + }, + }, + } + ), + ) + assert context.vars == { + "env": "production", + "replicas": 3, + "rate_limit": 1.5, + "debug": False, + "regions": ["us-east-1", "eu-west-1"], + "db": {"port": 5432, "ssl": True}, + } + + def test_array_of_arrays(self, monkeypatch): + monkeypatch.setenv( + "BRUIN_VARS", + json.dumps({"matrix": [["1", "2"], ["3", "4"]]}), + ) + monkeypatch.setenv( + "BRUIN_VARS_SCHEMA", + json.dumps( + { + "matrix": { + "type": "array", + "items": {"type": "array", "items": {"type": "integer"}}, + }, + } + ), + ) + assert context.vars == {"matrix": [[1, 2], [3, 4]]} + + def test_object_without_properties_schema(self, monkeypatch): + monkeypatch.setenv( + "BRUIN_VARS", + json.dumps({"meta": {"foo": "bar", "n": "1"}}), + ) + monkeypatch.setenv( + "BRUIN_VARS_SCHEMA", + json.dumps({"meta": {"type": "object"}}), + ) + assert context.vars == {"meta": {"foo": "bar", "n": "1"}} + + def test_no_schema_returns_raw(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"count": "42"})) + monkeypatch.delenv("BRUIN_VARS_SCHEMA", raising=False) + assert context.vars == {"count": "42"} + + def test_var_not_in_schema_passthrough(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"a": "1", "b": "2"})) + monkeypatch.setenv("BRUIN_VARS_SCHEMA", json.dumps({"a": {"type": "integer"}})) + assert context.vars == {"a": 1, "b": "2"} + + def test_coercion_failure_raises(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"count": "abc"})) + monkeypatch.setenv("BRUIN_VARS_SCHEMA", json.dumps({"count": {"type": "integer"}})) + with pytest.raises(BruinError, match="Cannot coerce variable 'count'"): + _ = context.vars + + def test_coercion_failure_in_nested_object_includes_path(self, monkeypatch): + monkeypatch.setenv( + "BRUIN_VARS", + json.dumps({"cfg": {"port": "not_a_number"}}), + ) + monkeypatch.setenv( + "BRUIN_VARS_SCHEMA", + json.dumps({"cfg": {"type": "object", "properties": {"port": {"type": "integer"}}}}), + ) + with pytest.raises(BruinError, match="Cannot coerce variable 'cfg'"): + _ = context.vars + + def test_invalid_schema_json_ignored(self, monkeypatch): + monkeypatch.setenv("BRUIN_VARS", json.dumps({"x": "1"})) + monkeypatch.setenv("BRUIN_VARS_SCHEMA", "{bad json") + assert context.vars == {"x": "1"} + + class TestFreshReads: def test_changing_env_var_reflects_immediately(self, monkeypatch): monkeypatch.setenv("BRUIN_RUN_ID", "first") diff --git a/tests/test_logging.py b/tests/test_logging.py index 9836234..ae59020 100644 --- a/tests/test_logging.py +++ b/tests/test_logging.py @@ -29,8 +29,10 @@ def test_get_connection_logs_resolution(self, pg_env, caplog): def test_client_creation_logged(self, pg_env, caplog): conn = get_connection("my_pg") - with caplog.at_level(logging.DEBUG, logger="bruin"), \ - patch("psycopg2.connect", return_value=MagicMock()): + with ( + caplog.at_level(logging.DEBUG, logger="bruin"), + patch("psycopg2.connect", return_value=MagicMock()), + ): _ = conn.client assert any("Creating postgres client" in m for m in caplog.messages) @@ -61,8 +63,10 @@ def test_select_logs_execution_and_result(self, pg_env, caplog): mock_conn = MagicMock() mock_conn.cursor.return_value = mock_cursor - with caplog.at_level(logging.DEBUG, logger="bruin"), \ - patch("psycopg2.connect", return_value=mock_conn): + with ( + caplog.at_level(logging.DEBUG, logger="bruin"), + patch("psycopg2.connect", return_value=mock_conn), + ): query("SELECT * FROM t") messages = " ".join(caplog.messages) @@ -76,8 +80,10 @@ def test_dml_logs_no_result_set(self, pg_env, caplog): mock_conn = MagicMock() mock_conn.cursor.return_value = mock_cursor - with caplog.at_level(logging.DEBUG, logger="bruin"), \ - patch("psycopg2.connect", return_value=mock_conn): + with ( + caplog.at_level(logging.DEBUG, logger="bruin"), + patch("psycopg2.connect", return_value=mock_conn), + ): query("INSERT INTO t VALUES (1)") messages = " ".join(caplog.messages) @@ -90,6 +96,7 @@ def test_date_parsing_logged(self, monkeypatch, caplog): monkeypatch.setenv("BRUIN_START_DATE", "2025-01-15") from bruin import context + with caplog.at_level(logging.DEBUG, logger="bruin"): context.start_date diff --git a/tests/test_query.py b/tests/test_query.py index a04efcc..dc90190 100644 --- a/tests/test_query.py +++ b/tests/test_query.py @@ -69,6 +69,7 @@ def _assert_annotated(call_args, original_sql): # BigQuery # --------------------------------------------------------------------------- + class TestQueryBigQuery: @pytest.mark.usefixtures("_setup_bq") def test_select_returns_dataframe(self, sample_df): @@ -105,6 +106,7 @@ def test_ddl_returns_none(self): # Snowflake # --------------------------------------------------------------------------- + class TestQuerySnowflake: @pytest.mark.usefixtures("_setup_snowflake") def test_select_returns_dataframe(self, sample_df): @@ -136,12 +138,14 @@ def test_ddl_returns_none(self): assert result is None mock_cursor.fetch_pandas_all.assert_not_called() + mock_cursor.close.assert_called_once() # --------------------------------------------------------------------------- # Postgres # --------------------------------------------------------------------------- + class TestQueryPostgres: @pytest.mark.usefixtures("_setup_postgres") def test_select_returns_dataframe(self, sample_df): @@ -179,6 +183,7 @@ def test_ddl_returns_none(self): # DuckDB # --------------------------------------------------------------------------- + class TestQueryDuckDB: @pytest.mark.usefixtures("_setup_duckdb") def test_select_returns_dataframe(self, sample_df): @@ -214,6 +219,7 @@ def test_ddl_returns_none(self): # Databricks # --------------------------------------------------------------------------- + class TestQueryDatabricks: @pytest.fixture(autouse=True) def _setup(self, monkeypatch, databricks_connection_json): @@ -256,6 +262,7 @@ def test_ddl_returns_none(self): # ClickHouse # --------------------------------------------------------------------------- + class TestQueryClickHouse: @pytest.fixture(autouse=True) def _setup(self, monkeypatch, clickhouse_connection_json): @@ -296,6 +303,7 @@ def test_ddl_returns_none(self): # SQLite # --------------------------------------------------------------------------- + class TestQuerySQLite: @pytest.fixture(autouse=True) def _setup(self, monkeypatch, sqlite_connection_json): @@ -322,6 +330,7 @@ def test_ddl_returns_none(self): # Athena (uses DBAPI cursor path) # --------------------------------------------------------------------------- + class TestQueryAthena: @pytest.fixture(autouse=True) def _setup(self, monkeypatch, athena_connection_json): @@ -360,6 +369,7 @@ def test_ddl_does_not_commit(self): # Trino (uses DBAPI cursor path, no commit) # --------------------------------------------------------------------------- + class TestQueryTrino: @pytest.fixture(autouse=True) def _setup(self, monkeypatch, trino_connection_json): @@ -398,6 +408,7 @@ def test_ddl_does_not_commit(self): # MotherDuck (uses duckdb path) # --------------------------------------------------------------------------- + class TestQueryMotherDuck: @pytest.fixture(autouse=True) def _setup(self, monkeypatch, motherduck_connection_json): @@ -434,6 +445,7 @@ def test_ddl_returns_none(self): # MSSQL # --------------------------------------------------------------------------- + class TestQueryMSSQL: @pytest.fixture(autouse=True) def _setup(self, monkeypatch, mssql_connection_json): @@ -472,6 +484,7 @@ def test_ddl_commits(self): # MySQL # --------------------------------------------------------------------------- + class TestQueryMySQL: @pytest.fixture(autouse=True) def _setup(self, monkeypatch, mysql_connection_json): @@ -492,11 +505,64 @@ def test_select_returns_dataframe(self, sample_df): assert isinstance(result, pd.DataFrame) assert list(result.columns) == ["id", "name"] + def test_ddl_commits(self): + mock_cursor = MagicMock() + mock_cursor.description = None + + mock_client = MagicMock() + mock_client.cursor.return_value = mock_cursor + + with patch("bruin._connection._create_mysql", return_value=mock_client): + result = query("CREATE TABLE t (id INT)", "my_mysql") + + assert result is None + mock_client.commit.assert_called_once() + + +# --------------------------------------------------------------------------- +# Redshift (reuses postgres path) +# --------------------------------------------------------------------------- + + +class TestQueryRedshift: + @pytest.fixture(autouse=True) + def _setup(self, monkeypatch, redshift_connection_json): + monkeypatch.setenv("BRUIN_CONNECTION_TYPES", json.dumps({"my_rs": "redshift"})) + monkeypatch.setenv("my_rs", json.dumps(redshift_connection_json)) + + def test_select_returns_dataframe(self, sample_df): + mock_cursor = MagicMock() + mock_cursor.description = [("id",), ("name",)] + mock_cursor.fetchall.return_value = [(1, "a"), (2, "b")] + + mock_client = MagicMock() + mock_client.cursor.return_value = mock_cursor + + with patch("bruin._connection._create_redshift", return_value=mock_client): + result = query("SELECT 1", "my_rs") + + assert isinstance(result, pd.DataFrame) + assert list(result.columns) == ["id", "name"] + + def test_ddl_commits(self): + mock_cursor = MagicMock() + mock_cursor.description = None + + mock_client = MagicMock() + mock_client.cursor.return_value = mock_cursor + + with patch("bruin._connection._create_redshift", return_value=mock_client): + result = query("DROP TABLE foo", "my_rs") + + assert result is None + mock_client.commit.assert_called_once() + # --------------------------------------------------------------------------- # Synapse (reuses MSSQL path) # --------------------------------------------------------------------------- + class TestQuerySynapse: @pytest.fixture(autouse=True) def _setup(self, monkeypatch, mssql_connection_json): @@ -517,6 +583,19 @@ def test_select_returns_dataframe(self, sample_df): assert isinstance(result, pd.DataFrame) assert list(result.columns) == ["id", "name"] + def test_ddl_commits(self): + mock_cursor = MagicMock() + mock_cursor.description = None + + mock_client = MagicMock() + mock_client.cursor.return_value = mock_cursor + + with patch("bruin._connection._create_mssql", return_value=mock_client): + result = query("CREATE TABLE t (id INT)", "my_syn") + + assert result is None + mock_client.commit.assert_called_once() + class TestQueryFabric: @pytest.fixture(autouse=True) @@ -727,6 +806,7 @@ def test_ddl_commits(self): # Default connection from BRUIN_CONNECTION # --------------------------------------------------------------------------- + class TestDefaultConnection: @pytest.mark.usefixtures("_setup_duckdb") def test_uses_bruin_connection_env_when_no_connection_arg(self, monkeypatch, sample_df): @@ -754,6 +834,7 @@ def test_raises_when_no_connection_and_no_default(self, monkeypatch): # @bruin.config annotation # --------------------------------------------------------------------------- + class TestAnnotation: @pytest.mark.usefixtures("_setup_duckdb") def test_annotation_includes_asset_and_pipeline(self, monkeypatch, sample_df): @@ -781,6 +862,7 @@ def test_annotation_includes_asset_and_pipeline(self, monkeypatch, sample_df): # Connection.query() # --------------------------------------------------------------------------- + class TestConnectionQuery: @pytest.mark.usefixtures("_setup_duckdb") def test_conn_query_returns_dataframe(self, sample_df): @@ -828,6 +910,7 @@ def test_conn_query_ddl_returns_none(self): # Error cases # --------------------------------------------------------------------------- + class TestQueryErrors: @pytest.mark.usefixtures("_setup_generic") def test_generic_connection_raises(self): @@ -842,3 +925,33 @@ def test_client_exception_wraps_in_query_error(self): with patch("bruin._connection._create_snowflake", return_value=mock_client): with pytest.raises(QueryError, match="connection refused"): query("SELECT 1", "my_sf") + + @pytest.mark.usefixtures("_setup_postgres") + def test_cursor_closed_on_exception(self): + """Cursor must be closed even when execute() raises.""" + mock_cursor = MagicMock() + mock_cursor.execute.side_effect = RuntimeError("syntax error") + + mock_client = MagicMock() + mock_client.cursor.return_value = mock_cursor + + with patch("bruin._connection._create_postgres", return_value=mock_client): + with pytest.raises(QueryError, match="syntax error"): + query("INVALID SQL", "my_pg") + + mock_cursor.close.assert_called_once() + + @pytest.mark.usefixtures("_setup_snowflake") + def test_snowflake_cursor_closed_on_exception(self): + """Snowflake cursor must be closed even when execute() raises.""" + mock_cursor = MagicMock() + mock_cursor.execute.side_effect = RuntimeError("warehouse suspended") + + mock_client = MagicMock() + mock_client.cursor.return_value = mock_cursor + + with patch("bruin._connection._create_snowflake", return_value=mock_client): + with pytest.raises(QueryError, match="warehouse suspended"): + query("SELECT 1", "my_sf") + + mock_cursor.close.assert_called_once() diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..844c6f6 --- /dev/null +++ b/uv.lock @@ -0,0 +1,3425 @@ +version = 1 +revision = 3 +requires-python = ">=3.9" +resolution-markers = [ + "python_full_version >= '3.14' and sys_platform == 'win32'", + 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