pyA2L is an ASAM MCD-2MC processing library written in Python.
If you work with ECUs, ASAP2/A2L is the contract that describes what and how to measure or calibrate. pyA2L helps you parse once, inspect and validate programmatically, automate checks, and export back when needed — all from Python.
- About ASAM MCD-2 MC (ASAP2)
- What pyA2L offers
- Installation
- Getting Started (Quickstart)
- Command-line usage
- Tips
- Examples
- Compatibility
- Project links
- Contributing
- Code of Conduct
- License
- Changelog / Release notes
- Acknowledgements
ASAM MCD-2 MC (ASAP2) is the ASAM standard that defines the A2L description format for ECU measurement signals and calibration parameters. In practice, the A2L acts as a contract between ECU software and tools so different vendors can consistently locate data in memory and convert raw values into physical engineering units. Runtime transport (e.g., CCP/XCP) is out of scope of the standard.
For an authoritative overview of the standard, see the ASAM page: https://www.asam.net/standards/detail/mcd-2-mc/
- Parse .a2l files and persist them as compact, queryable SQLite databases (.a2ldb) to avoid repeated parse costs.
- Programmatic access to ASAP2 entities via SQLAlchemy ORM models (MODULE, MEASUREMENT, CHARACTERISTIC, AXIS_DESCR, RECORD_LAYOUT, COMPU_METHOD/COMPU_TAB, UNIT, FUNCTION, GROUP, VARIANT_CODING, etc.).
- Rich inspection helpers in pya2l.api.inspect (e.g., Characteristic, Measurement, AxisDescr, ModPar, ModCommon) to compute shapes, axis info, allocated memory, conversions, and more.
- Validation utilities (pya2l.api.validate) to check common ASAP2 rules and project-specific consistency.
- Export .a2ldb content back to A2L text when needed.
- Building blocks for automation: reporting, quality gates, CI checks, and integration with CCP/XCP workflows.
Supported ASAP2 version: 1.6.
- Parse once, query fast: Avoid repeated parser runs by working from SQLite.
- Powerful model: Use SQLAlchemy ORM to navigate ASAP2 entities naturally.
- Beyond parsing: Inspect derived properties, validate consistency, and export back to A2L.
- Automate: Integrate with CI to enforce quality gates on A2L content.
- SQLite-backed storage (.a2ldb) with SQLAlchemy models
- High-level inspection helpers in
pya2l.api.inspect
- Validator framework in
pya2l.api.validate
yielding structured diagnostics - Optional CLI for import/export tasks
Learn more about the standard at the ASAM website: https://www.asam.net/standards/detail/mcd-2-mc/wiki/
- Via
pip
:shell $ pip install pya2ldb
IMPORTANT: Package-name ispya2ldb
NOTpya2l
!!! - From Github:
- Clone / fork / download pyA2Ldb repository.
Parse an A2L once, work from SQLite thereafter - Import a .a2l file and persist it as .a2ldb (SQLite):
from pya2l import DB
db = DB()
session = db.import_a2l("ASAP2_Demo_V161.a2l")
# Creates ASAP2_Demo_V161.a2ldb in the working directory
- Open an existing .a2ldb without re-parsing:
from pya2l import DB
db = DB()
session = db.open_existing("ASAP2_Demo_V161") # extension .a2ldb is implied
Query with SQLAlchemy ORM - List all measurements ordered by name with address and data type:
from pya2l import DB
import pya2l.model as model
db = DB()
session = db.open_existing("ASAP2_Demo_V161")
measurements = (
session.query(model.Measurement)
.order_by(model.Measurement.name)
.all()
)
for m in measurements:
print(f"{m.name:48} {m.datatype:12} 0x{m.ecu_address.address:08x}")
High-level inspection helpers - Use convenience wrappers from pya2l.api.inspect to access derived info:
from pya2l import DB
from pya2l.api.inspect import Characteristic, Measurement, AxisDescr
db = DB()
session = db.open_existing("ASAP2_Demo_V161")
ch = Characteristic(session, "ASAM.C.MAP.UBYTE.IDENTICAL")
print("shape:", ch.dim().shape)
print("element size:", ch.fnc_element_size(), "bytes")
print("num axes:", ch.num_axes())
me = Measurement(session, "ASAM.M.SCALAR.UBYTE.IDENTICAL")
print("is virtual:", me.is_virtual())
axis = ch.axisDescription("X")
print("axis info:", axis.axisDescription("X"))
Validate your database
from pya2l import DB
from pya2l.api.validate import Validator
db = DB()
session = db.open_existing("ASAP2_Demo_V161")
vd = Validator(session)
for msg in vd(): # iterate diagnostics
# msg has fields: type (Level), category (Category), diag_code (Diagnostics), text (str)
print(msg.type.name, msg.category.name, msg.diag_code.name, "-", msg.text)
Export back to A2L (optional)
from pya2l import export_a2l
export_a2l("ASAP2_Demo_V161", "exported.a2l")
Tips - The default file encoding for A2L import is latin-1; override via encoding= parameter if needed. - pip wheels are provided for supported platforms. - The Python package name is pya2ldb (not pya2l!!!).
Examples - See pya2l/examples for sample A2L files and scripts. - The Sphinx docs contain a fuller tutorial and how-to guides.
pyA2L offers a Creator API in pya2l.api.create to programmatically build or augment A2L content. The project’s goal is coverage parity: everything you can query via pya2l.api.inspect is intended to be creatable via pya2l.api.create.
Example: creating common entities
from pya2l import DB
from pya2l.api.create import ModuleCreator
from pya2l.api.inspect import Module
# Open or create a database
session = DB().open_create("MyProject.a2l") # or .a2ldb
mc = ModuleCreator(session)
# Create a module
mod = mc.create_module("DEMO", "Demo ECU module")
# Units and conversions
temp_unit = mc.add_unit(mod, name="degC", long_identifier="Celsius",
display="°C", type_str="TEMPERATURE")
ct = mc.add_compu_tab(mod, name="TAB_NOINTP_DEMO", long_identifier="Demo Tab",
conversion_type="TAB_NOINTP",
pairs=[(0, 0.0), (100, 1.0)], default_numeric=0.0)
# Frames and transformers
fr = mc.add_frame(mod, name="FRAME1", long_identifier="Demo frame",
scaling_unit=1, rate=10, measurements=["ENGINE_SPEED"])
tr = mc.add_transformer(mod, name="TR1", version="1.0",
dllname32="tr32.dll", dllname64="tr64.dll",
timeout=1000, trigger="ON_CHANGE", reverse="NONE",
in_objects=["ENGINE_SPEED"], out_objects=["SPEED_PHYS"])
# Typedefs and instances
ts = mc.add_typedef_structure(mod, name="TSig", long_identifier="Signal",
size=8)
mc.add_structure_component(ts, name="raw", type_ref="UWORD", offset=0)
inst = mc.add_instance(mod, name="S1", long_identifier="Inst of TSig",
type_name="TSig", address=0x1000)
# Verify with inspect helpers
mi = Module(session)
print("#frames:", len(list(mi.frame.query())))
print("#compu tabs:", len(list(mi.compu_tab.query())))
See pya2l/examples/create_quickstart.py for a more complete example.
A small CLI is provided as a console script named a2ldb-imex
:
# Show version
$ a2ldb-imex -V
# Import an A2L (creates .a2ldb next to the input or in CWD with -L)
$ a2ldb-imex -i path/to/file.a2l
# Import with explicit encoding and create DB in current directory
$ a2ldb-imex -i path/to/file.a2l -E latin-1 -L
# Export an .a2ldb back to A2L text (stdout by default or -o file)
$ a2ldb-imex -e path/to/file.a2ldb -o exported.a2l
- Python: 3.10 – 3.14
- Platforms: Prebuilt wheels are published for selected platforms. From source, Windows/macOS are supported; Linux may require building native extensions.
- Source code: https://github.com/christoph2/pyA2L
- Issue tracker: https://github.com/christoph2/pyA2L/issues
- PyPI: https://pypi.org/project/pya2ldb/
- Documentation
Contributions are welcome! Please open an issue to discuss significant
changes before submitting a PR. See the existing tests under
pya2l/tests
and examples under pya2l/examples
to get started.
Contributors should use pre-commit to run formatting and lint checks
before committing; see https://pre-commit.com/ for installation and
usage.
This project follows a Code of Conduct to foster an open and welcoming community. Please read and abide by it when interacting in issues, discussions, and pull requests.
See CODE_OF_CONDUCT for full details.
See GitHub Releases: https://github.com/christoph2/pyA2L/releases