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python

Apply these opinionated Python 3.11+ conventions when writing Python in this codebase: type hints with mypy, async/await, pytest fixtures, dataclasses, Poetry packaging, production patterns.

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Python

House conventions for Python 3.11+. Apply them to code you are writing or changing — don't refactor untouched files to match unless asked.

Conventions

  • Type every public signature and keep mypy --strict green. Types on internals are optional; types at the boundary are what stop a caller passing the wrong thing.

  • Built-in generics and X | None — list[str], dict[str, int], str | None. typing.List and Optional[str] are the pre-3.10 spelling and only cost an import.

  • Protocol over ABC inheritance. Structural typing lets any correctly-shaped object satisfy the contract — including a test double — with no inheritance tree to maintain.

  • Dataclasses for data, slots=True and frozen=True where they fit. They generate __init__, __repr__, and __eq__ correctly; a hand-written __init__ is where field drift starts. Pydantic is for validation and (de)serialisation at a boundary, not for plain records.

  • pathlib, not os.path. Operator joins can't silently produce a wrong path from a stray separator.

  • Never a mutable default argument. def f(items=[]) shares one list across every call — a bug that only appears on the second call. Default to None and build inside.

  • asyncio.TaskGroup over bare gather (3.11+): it cancels siblings on failure and reports via ExceptionGroup, so a crashed task can't leave the rest running detached. Use async with asyncio.timeout(n) for deadlines.

  • Hold a reference to every create_task. The event loop only keeps a weak reference, so a fire-and-forget task can be garbage-collected mid-execution and simply vanish — no error, no result. Keep them in a set and discard on completion:

    _tasks: set[asyncio.Task[None]] = set()
    
    def spawn(coro: Coroutine[None, None, None]) -> None:
        task = asyncio.create_task(coro)
        _tasks.add(task)
        task.add_done_callback(_tasks.discard)
    
  • Never a bare except: — it swallows KeyboardInterrupt and SystemExit. Catch what you can actually handle.

  • Google-style docstrings on public functions and classes, carrying intent rather than a restatement of the signature. The documentation skill has the full rule.

  • pytest: fixtures for setup, parametrize for cases. A loop inside one test reports a single failure and hides which case broke; parametrize names each one.

  • Poetry and pyproject.toml for packaging, ruff for lint and format, and a py.typed marker on any package whose types consumers should see. Use a src/ layout — it stops tests from importing the working directory instead of the installed package, which is how a broken package still passes its own suite.

Tooling baseline

strict = true covers most of it; these add the checks that catch real bugs rather than style. --strict-markers matters more than it looks: without it a typo'd @pytest.mark.integraton silently does nothing and the test runs where you thought it was excluded.

[tool.mypy]
strict = true
warn_unreachable = true
warn_redundant_casts = true
warn_unused_ignores = true

[[tool.mypy.overrides]]
module = "untyped_dep.*"
ignore_missing_imports = true

[tool.pytest.ini_options]
addopts = ["-ra", "--strict-markers", "--strict-config"]

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