A value with rules of its own — a URL, a path, a closed set, an identifier — gets a type of its own. Passing it as a bare string discards those rules at the first function boundary and leaves every consumer re-deriving them. Added as a subsection of Architecture Preferences, with a table mapping the common cases to the type to reach for in any language, the reasoning, and the boundary rule: parse once at the edge, keep the type inward, serialize back only where the wire actually demands a string. Notes the counter-case, so this is not read as a mandate to wrap every string. python.md gains the concrete choices: yarl.URL (already present wherever aiohttp is), pathlib, StrEnum, and NewType for non-interchangeable identifiers.
170 lines
7.3 KiB
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170 lines
7.3 KiB
Markdown
---
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name: python
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description: >-
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Use this skill when writing, linting, type-checking, testing, or packaging Python —
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including async code, CLI tools, bot cogs, and library packages. Covers strict typing with
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mypy, ruff configuration, virtualenv discipline, async patterns, and packaging.
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---
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# Python — Rules & Preferences
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Extends [`coding-dev.md`](skills-public/coding-dev.md). Everything there applies; this adds Python specifics.
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For the surrounding build and deploy scripts, see [`bash.md`](skills-public/code-languages/bash.md).
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---
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## 1. The Gate
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```bash
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ruff format --check .
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ruff check .
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mypy --strict .
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pytest
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```
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All four clean before anything is called done. Configure them in `pyproject.toml` so the
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editor, the CLI, and CI all read the same settings.
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---
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## 2. Typing — Strict
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**Every function gets annotated**, including `-> None`. Type hints are not optional
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documentation; they are the checker's input.
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```toml
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[tool.mypy]
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strict = true
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warn_unreachable = true
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warn_return_any = true
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disallow_untyped_defs = true
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```
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- **Never bare `Any`.** Use a `Protocol`, a `TypeVar`, or `object` + narrowing.
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- `X | None` over `Optional[X]`; `list[str]` over `List[str]` (modern syntax, no `typing` import).
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- `TypedDict` or a dataclass for structured dicts — not `dict[str, Any]`.
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- `Literal` and `Enum` for closed sets of values, not bare strings.
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- `@dataclass(frozen=True, slots=True)` for value objects.
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- Third-party library missing stubs: install `types-*` if it exists, otherwise a narrowly
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scoped `# type: ignore[import-untyped]` with a comment — never a blanket module-level ignore.
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### Value types over primitives
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The general rule is in [`coding-dev.md` §7](skills-public/coding-dev.md); Python's concrete
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choices are:
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- **`yarl.URL` for URLs**, not f-string assembly. It ships with `aiohttp`, so any async HTTP
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project already has it. `URL(base) / "api" / "v4" / "users"` joins without double slashes,
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and `.with_query({...})` escapes parameters that string formatting would corrupt.
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- **`pathlib.Path` for paths**, never `os.path` + `str`. Ruff's `PTH` rules enforce this;
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keep `os.fdopen` where a descriptor rather than a name is being adopted.
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- `enum.StrEnum` (3.11+) where a closed set must also serialize as a string, so the wire
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format stays a string without the code comparing bare literals.
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- `typing.NewType` for identifiers that should not be interchangeable — a `UserId` and a
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`RepoId` are both `int` and nothing otherwise stops them being swapped.
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- Parse at the boundary: take `str` in the public signature if callers supply one, convert
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immediately, and keep the real type internal.
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---
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## 3. Linting
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`ruff` is the linter and formatter (it replaces flake8, isort, black, pyupgrade, and most
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plugins). Enable a broad rule set rather than the default minimum:
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```toml
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[tool.ruff.lint]
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select = ["E", "F", "W", "I", "N", "UP", "B", "A", "C4", "SIM", "RUF", "ASYNC", "S", "PTH"]
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```
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`S` (bandit security rules) and `ASYNC` are worth the noise. As always: fix, don't suppress —
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and when you must suppress, use a specific code (`# noqa: S603`) with a reason.
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---
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## 4. Environments
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- **Always a virtualenv or project-managed environment** (`uv`, `poetry`, `pdm`, `venv`).
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Never install into the system interpreter, and never `pip install --user` as a workaround
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for an immutable OS — use a container or a venv.
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- `uv` is the preferred installer/resolver where free choice exists; it is dramatically faster
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and lockfile-native.
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- Commit the lockfile. Pin the Python version in `pyproject.toml` (`requires-python`).
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- `pathlib.Path` over `os.path` everywhere (ruff's `PTH` rules enforce this).
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---
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## 5. Errors & Logging
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- **Specific exceptions only.** `except Exception:` needs a reason; bare `except:` is never
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acceptable (it catches `KeyboardInterrupt` and `SystemExit`).
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- **Never swallow silently.** If you catch and continue, log at `warning` or above.
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- `raise ... from err` to preserve the chain.
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- Custom exception types deriving from a single package-level base, so callers can catch the
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whole family.
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- **`logging` module, never `print`,** in anything that isn't a CLI writing to stdout as its
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actual output. One `logger = logging.getLogger(__name__)` per module, at module scope.
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- **Never log secrets** — tokens, auth headers, message content, personal data.
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---
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## 6. Async
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- `asyncio` with `async`/`await`. **Never block the event loop** — no `time.sleep`, no
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synchronous `requests`, no blocking file I/O in a coroutine. Use `asyncio.to_thread` for
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genuinely blocking calls.
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- `httpx` (or the framework's own client) over `requests` in async code.
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- **`asyncio.TaskGroup`** (3.11+) over bare `create_task` — it propagates exceptions and
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cancels siblings instead of losing them to an unawaited task.
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- **Every `create_task` result must be held in a reference**, or the garbage collector can
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cancel it mid-flight.
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- Cancellation is cooperative: clean up in `finally`, and never swallow `CancelledError`.
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- **Events over polling.** Subscribe to the library's event/callback API; do not loop on a
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timer. Where polling is genuinely unavoidable (no event source exists), use a **staggered
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backoff** rather than a fixed interval, and say why polling was necessary.
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---
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## 7. Rate Limiting & External Services
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When talking to a rate-limited API (a chat platform, a store, a tracker):
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- **Funnel outbound calls through a single queue/worker** rather than calling from arbitrary
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call sites. It is the only place a limit can actually be enforced.
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- **Backoff with jitter** on retry; never a tight retry loop.
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- Respect `Retry-After` and documented limits; assume undocumented ones exist.
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- **Be extremely careful scraping real consumer services.** Conservative delays, realistic
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headers, plenty of failsafes, and abort fast when a response looks unexpected. Assume you
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are one mistake away from a ban.
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---
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## 8. Structure
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- Package layout: `src/<package>/`, tests in `tests/`.
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- **Shared behavior goes in a real shared module**, imported by each consumer — not
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copy-pasted between sibling packages. When three components grow the same queue/retry/
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formatting logic, that is the signal to extract it.
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- Reusable, generic functionality (a format parser, a protocol client) becomes **its own
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installable package** with its own repo and version, consumed as a dependency.
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- Keep persistent state in the framework's own config/storage system so it survives restarts;
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do not invent a parallel JSON file beside it.
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- File and function size limits from the general rules apply. Ruff has **no line-based**
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function-length rule — `PLR0915` (`too-many-statements`, default 50) and `C901`
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(cyclomatic complexity) are the closest proxies and are worth enabling, but neither
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measures lines. Put **both** the function-length and file-length limits in a pytest
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case (see [`coding-dev.md` §4](skills-public/coding-dev.md)).
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---
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## 9. Testing
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- `pytest`, with `pytest-asyncio` for coroutines.
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- Fixtures over setup/teardown methods; `tmp_path` for anything touching the filesystem.
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- **Regression test every fixed bug.**
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- Mock at the network boundary (`respx`, `responses`), not by monkeypatching your own
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internals — a test that patches the code under test proves nothing.
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- **Never exercise destructive operations against real accounts or real data.** Temporary
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fixtures only.
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- `pytest -p no:randomly` only when order genuinely matters, and note why.
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