From e50f9e0b6840d7f4cbfe698cc6b38329e7020c69 Mon Sep 17 00:00:00 2001 From: Jason Brazeal Date: Tue, 11 Aug 2026 09:56:32 -0700 Subject: [PATCH 01/14] python rulebook --- README.md | 4 + rulebooks/python-rulebook.md | 776 +++++++++++++++++++++++++++++++++++ 2 files changed, 780 insertions(+) create mode 100644 rulebooks/python-rulebook.md diff --git a/README.md b/README.md index 4309682..f100482 100644 --- a/README.md +++ b/README.md @@ -102,6 +102,10 @@ Evaluate a paper's quality in three sequential passes, each with exit criteria, _[rulebooks/reports-rulebook.md](rulebooks/reports-rulebook.md)_\ Write or audit a report of any type for structure, evidence, uncertainty, sourcing, and format discipline. +**Writing Python**\ +_[rulebooks/python-rulebook.md](rulebooks/python-rulebook.md)_\ +Reference for writing or maintaining Python - project layout, packaging, naming, idioms, typing, errors, API design, imports, dependencies, documentation, testing, tooling, performance, concurrency, and anti-patterns. + **Writing Rust**\ _[rulebooks/rust-rulebook.md](rulebooks/rust-rulebook.md)_\ Reference for writing or maintaining Rust - project layout, naming, ownership, API design, errors, crates, documentation, testing, tooling, performance, async, and unsafe. diff --git a/rulebooks/python-rulebook.md b/rulebooks/python-rulebook.md new file mode 100644 index 0000000..6e33a06 --- /dev/null +++ b/rulebooks/python-rulebook.md @@ -0,0 +1,776 @@ +--- +description: Reference for a model writing or maintaining Python - project layout, packaging, naming, idioms, typing, errors, API design, imports, dependencies, documentation, testing, tooling, performance, concurrency, and the anti-patterns to avoid +--- + + + +# Rulebook: Writing Python + +This file equips a model to write, extend, and maintain Python. Read the preamble and the closing rules first; they bind every edit. Sections run from most to least frequently needed and are consulted one at a time, so the length of this file is never the number of rules you hold at once. Terms used throughout: "the package" is one importable directory with an `__init__.py` or an installed distribution; "the project" is the repository plus its `pyproject.toml`; "the tree" is the repository checkout; "a distribution" is the wheel or sdist you publish to an index. Target current stable CPython, meaning 3.12 or 3.13, and state a lower floor only when the code must run on it. Formatting is not a matter of taste in this file: a formatter owns every whitespace decision, so no rule below concerns spacing, wrapping, or quotes. + +![The Python Workshop](images/python-rulebook.png) + +## Non-negotiable rules + +Follow these on every change; they are restated at the end. + +- Never use a mutable default argument (section 3); `def f(x, acc=[])` shares one list across every call, so default to `None` and build the value inside the body. +- Catch the narrowest exception that can occur and never write a bare `except:` or a bare `except Exception:` that swallows and continues (section 5); a blanket catch hides the bug you will be paged for. +- Type every public function's parameters and return, and run a type checker in CI (sections 4, 12); an unchecked annotation is a comment that lies as soon as the code drifts. +- Pin the environment with a lockfile and never install into the system interpreter (section 8); an unlocked or global install makes "works on my machine" the only truth anyone has. +- Format with the project's formatter and pass the linter before every commit (sections 2, 12); both questions are settled by the tool, not by argument in review. +- Verify a package is the intended, existing project on PyPI before adding it to `pyproject.toml` (section 9); a typo-squatted or hallucinated name installs and runs arbitrary code exactly like the real one. +- Manage every external resource with a `with` block, never a bare `open` or `acquire` you must remember to close (section 3); an early `return` or an exception leaks the handle otherwise. + +## 1. Orientation + +A package is one importable directory. A project is the tree plus its `pyproject.toml`, which is the single source of truth for metadata, dependencies, build backend, and tool configuration. Use the src layout: the importable code lives under `src/`, so the test suite runs against the installed package and never accidentally imports from the working directory. + +Canonical single package: + +``` +myproject/ + pyproject.toml # metadata, dependencies, build backend, tool config + uv.lock # committed, the exact resolved environment + README.md + LICENSE + src/ + mypkg/ + __init__.py # package version and the curated public API + __main__.py # enables `python -m mypkg`; keep logic elsewhere + py.typed # marker: this package ships inline type information + core.py # one domain concept per module + _internal.py # leading underscore marks a private module + cli.py # argument parsing only; import the logic + subsystem/ + __init__.py + parser.py + tests/ + conftest.py # shared fixtures, discovered automatically + test_core.py # one test module per source module + docs/ +``` + +The src layout is not optional decoration: without it, `import mypkg` resolves to the source tree during tests whether or not the package installs correctly, so a missing entry in `pyproject.toml` or a broken `__init__.py` passes locally and breaks for every user. Under src layout the import can only resolve to the installed distribution, so the test suite exercises what ships. + +Directory map (only what you edit often): + +| Path | Holds | +|---|---| +| `pyproject.toml` | `[project]` metadata and dependencies, `[build-system]`, `[tool.*]` config, entry points | +| `uv.lock` (or equivalent) | the fully resolved, hash-pinned environment; committed | +| `src//__init__.py` | the version, the curated public names, and `__all__` | +| `src//__main__.py` | the `python -m ` entry; delegates immediately to a function | +| `src//py.typed` | an empty marker file so consumers trust your inline annotations | +| `src//.py` | one domain concept and its closely bound helpers | +| `tests/` | pytest suite against the installed package, one module per source module | +| `tests/conftest.py` | fixtures shared across the suite, auto-discovered, never imported by hand | +| `docs/` | narrative documentation, kept out of the wheel | + +Keep `__init__.py` thin: it declares the version and re-exports the public API, and holds no logic. Keep executable scripts out of package import paths; a module that runs work at import time cannot be imported for testing without side effects. + +## 2. Formatting and naming + +Formatting is settled by the tool, so no rule here concerns spacing. Naming follows PEP 8, which lets a reader infer the kind of a name from its shape. + +- Run the formatter (`ruff format`, equivalently Black) and let it own line length, wrapping, string quotes, trailing commas, and blank lines. Do not hand-format. +- Set the line length once in `pyproject.toml` and never override it per file with `# fmt` directives except around data that is genuinely more readable unwrapped. +- Sort and group imports with the tool (`ruff check --select I` or isort): standard library first, then third-party, then first-party, each block separated by a blank line. +- Write names in the case its kind demands; the formatter does not rename, so this is on you. +- Do not put a formatting-only reflow in the same commit as a behavior change; a reviewer cannot see the real diff through the noise. + +Casing, per item kind (PEP 8): + +| Item kind | Convention | Example | +|---|---|---| +| Packages, modules | short `lowercase`, underscores only if they aid readability | `httpx`, `json_stream` | +| Classes, exceptions, type variables, type aliases | `CapWords` | `HttpClient`, `TimeoutError`, `UserId` | +| Functions, methods, variables, attributes, parameters | `snake_case` | `read_config`, `retry_count` | +| Constants (module level) | `SCREAMING_SNAKE_CASE` | `MAX_RETRIES`, `DEFAULT_TIMEOUT` | +| Type variables | short `CapWords`, suffix `_co`/`_contra` for variance | `T`, `KT`, `VT_co` | +| "Internal use" name | single leading underscore | `_cache`, `_parse_line` | +| Name-mangled class-private | two leading underscores, no trailing | `__slots_impl` | +| Dunder (reserved) | two leading and trailing underscores; never invent new ones | `__init__`, `__all__` | + +- Avoid single-character names `l`, `O`, and `I`; they are indistinguishable from `1` and `0` in many fonts. +- Do not shadow a builtin (`list`, `dict`, `id`, `type`, `input`, `str`); the linter flags it, and the shadow bites the next line that needed the builtin. +- Name a boolean or a predicate for its truth (`is_valid`, `has_next`, `should_retry`), not for the thing it checks. +- Name a collection in the plural (`users`), a single item in the singular (`user`), so a loop reads `for user in users`. +- Do not encode the type in the name; `user_list` becomes wrong the moment it is a tuple, and the annotation already carries the type. + +Detect in existing code: + +- a function, method, or variable not in `snake_case`, or a class not in `CapWords` - the linter's naming rules flag most. +- a module-level constant in lower case, or a "constant" that is reassigned - either the case or the intent is wrong. +- a name shadowing a builtin (`id`, `list`, `type`) - the builtin is now unreachable in that scope. +- a single leading underscore on a name that is imported across packages - the underscore says private, the import says otherwise. + +## 3. Idioms and gotchas + +Write code that reads as native Python: the Zen (`import this`) asks for one obvious way, flat over nested, explicit over implicit. Most non-idiomatic Python is a C or Java habit transliterated. The gotchas below are language sharp edges that pass review and fail in production. + +Sharp edges that must never ship: + +- Never bind a mutable default: `def f(items=[])` or `def f(cfg={})` evaluates the default once at definition time and shares that one object across every call. Default to `None` and create the value in the body: `def f(items=None): items = [] if items is None else items`. +- Never capture a loop variable in a closure and expect its per-iteration value: `[lambda: i for i in range(3)]` yields three functions that all return `2`, because they close over the variable, not its value. Bind it as a default (`lambda i=i: i`) or use a factory. +- Never use a mutable class attribute as if it were per-instance: `class C: items = []` shares one list across all instances. Assign instance state in `__init__`. +- Never compare with `is` for value equality: `is` tests identity, and `x == 1000 is True` only by the accident of small-int caching. Use `==` for values; reserve `is` for `None`, `True`, `False`, and sentinels. +- Never mutate a list or dict while iterating it; iterate a copy (`for x in list(xs):`) or build a new collection. +- Never rely on `==` for floats: use `math.isclose`, and use `decimal.Decimal` for money. +- Never write `except Exception as e: pass` (see section 5); a swallowed exception is a bug you cannot find later. +- Never leave a resource unmanaged: use `with open(path) as f:` and `with lock:`, never a bare `open` or `acquire`. + +Idioms that make code Pythonic: + +- Iterate directly (`for item in items:`), not by index; when you need the index use `enumerate`, and to walk two sequences use `zip`. +- Prefer EAFP (try the operation, catch the failure) to LBYL (check first, then act) when the check would race or duplicate the operation: `try: return d[k] except KeyError: ...` over `if k in d: return d[k]`. +- Use a comprehension for a pure transform or filter that fits one readable line; drop to a `for` loop when the body has side effects, needs a `break`, or the comprehension would nest more than one `for` and an `if`. +- Use a generator expression, not a list, when you only iterate once: `sum(x*x for x in xs)` allocates nothing. +- Unpack instead of indexing: `first, *rest = seq`, `for key, value in d.items():`, `a, b = b, a`. +- Reach for the truthiness of empty containers: `if not items:` not `if len(items) == 0:`. +- Use `dict.get(k, default)`, `dict.setdefault`, `collections.defaultdict`, and `collections.Counter` instead of `if k in d` ladders. +- Use `pathlib.Path` for filesystem paths, not `os.path` string surgery; `path / "sub" / "file.txt"` reads and composes. +- Use an f-string for formatting, never `%` or `str.__add__` chains; use `!r` for debug output and `=` for quick `f"{x=}"` dumps. +- Chain comparisons: `if 0 <= i < n:` not `if i >= 0 and i < n:`. +- Use `enum.Enum` (or `StrEnum`/`IntEnum`) for a closed set of named constants, never bare module-level strings or magic numbers. +- Return early to keep the happy path unindented; a guard clause that `raise`s or `return`s beats a deeply nested `if`. +- Use a context manager (`contextlib.contextmanager`, or a class with `__enter__`/`__exit__`) for any setup/teardown pair, and `contextlib.suppress(FileNotFoundError)` for a deliberately ignored exception. +- Prefer `functools.cached_property` for a lazily computed attribute and `functools.lru_cache`/`cache` for a pure function, over hand-rolled caching. + +Corrections: + +- `def add(x, acc=[])` -> `def add(x, acc=None): acc = [] if acc is None else acc` - the shared default accumulates across calls. +- `for i in range(len(xs)): x = xs[i]` -> `for i, x in enumerate(xs):` - index arithmetic is where off-by-one lives. +- `if len(items) == 0:` -> `if not items:` - empty containers are already falsy. +- `if x == None:` -> `if x is None:` - `None` is a singleton; identity is the correct and faster test. +- `open(p).read()` -> `with open(p) as f: f.read()` - the bare form leaks the descriptor until GC. +- `d[k] if k in d else default` -> `d.get(k, default)` - one lookup instead of two, and no race. +- `result = []` then a `for` with `result.append(...)` for a pure map -> a comprehension - clearer and faster. +- `"Hello " + name + "!"` -> `f"Hello {name}!"` - f-strings are the one obvious way. +- `os.path.join(a, b)` -> `Path(a) / b` - path objects compose and carry methods. +- `except Exception: pass` -> catch the specific type, or `contextlib.suppress(ThatError)` - name what you ignore. + +## 4. Typing + +Type hints are checked prose: a checker keeps them honest, so a public signature can be trusted instead of read. Annotate the boundary densely and let inference cover local bodies. Target the modern syntax; the old `typing` aliases are legacy. + +- Annotate every parameter and return type of every public function and method, and every public attribute; a return of `None` is written `-> None`, not omitted. +- Let local variables infer; annotate a local only when the checker cannot (an empty container, `x: list[int] = []`). +- Use built-in generics: `list[int]`, `dict[str, int]`, `tuple[int, ...]`, not `typing.List`, `typing.Dict` (deprecated since 3.9, PEP 585). +- Write unions as `X | Y` and optionals as `X | None`, not `typing.Union` or `typing.Optional` (PEP 604). +- Ship a `py.typed` marker in any package whose annotations consumers should trust (PEP 561); without it, downstream checkers ignore your types. +- Type a heterogeneous fixed-shape record as a `@dataclass`, a `NamedTuple`, or a `TypedDict`, never a bare `dict[str, Any]` whose keys are undiscoverable. +- Use `collections.abc.Sequence`, `Iterable`, `Mapping`, and `Callable` for parameters (accept the widest thing that works), and concrete `list`/`dict` for return types (promise the narrowest useful thing). +- Reserve `Any` for a genuine boundary you cannot type; prefer `object` when you accept anything but will narrow before use, since `object` forces the narrowing and `Any` disables all checking. +- Narrow `X | None` with an explicit `if x is None:` guard rather than asserting or ignoring; an `assert x is not None` is a runtime cost and a lie if it can fail. +- Use `typing.Protocol` for structural typing ("anything with a `.read()`") instead of forcing a shared base class or an ABC. +- Use `typing.Literal` for a fixed set of string or int values, and `enum.Enum` when the set also needs runtime identity. +- Use `typing.Final` for a constant that must not be reassigned and `typing.ClassVar` for a class attribute that is not per-instance. +- Use the PEP 695 syntax on 3.12+ for generics and aliases: `def first[T](xs: list[T]) -> T` and `type Vector = list[float]`; fall back to explicit `TypeVar` only for a lower floor. +- Add `from __future__ import annotations` at the top of a module that needs forward references or newer syntax on an older runtime; it makes all annotations lazy strings and removes most quoting. +- Type `*args` and `**kwargs` by their element type (`*args: int`, `**kwargs: str`), or use `typing.ParamSpec` when forwarding a signature through a decorator. +- Prefer `@typing.overload` to a union return that forces every caller to narrow, when the return type is a function of an argument's type. + +Choose the container annotation by direction: + +| Situation | Parameter | Return | +|---|---|---| +| Read a sequence | `Sequence[T]` | `list[T]` | +| Read a mapping | `Mapping[K, V]` | `dict[K, V]` | +| Accept any iterable, consume once | `Iterable[T]` | `Iterator[T]` | +| Accept a callback | `Callable[[int], str]` | not applicable | +| Fixed-shape record | a `@dataclass` or `TypedDict` | the same type | +| Anything, then narrow | `object` | not applicable | +| Genuinely dynamic boundary | `Any` (last resort) | `Any` (last resort) | + +Detect in existing code: + +- a public `def` with no return annotation, or parameters with no types - the boundary is unchecked. +- `typing.List`, `typing.Dict`, `typing.Optional`, `typing.Union` - legacy spellings; use the built-in and `|` forms. +- `Any` on an internal function where a concrete type is known - it silently disables checking for everything downstream. +- `dict[str, Any]` used as a record with fixed known keys - a `TypedDict` or dataclass makes the keys discoverable. +- a package with inline types but no `py.typed` - consumers' checkers cannot see any of it. + +Corrections: + +- `def f(x) -> None` with untyped `x` -> `def f(x: int) -> None` - the parameter is half the contract. +- `def g() ` with no annotation, returns nothing -> `def g() -> None` - an omitted return type is unchecked, not inferred as `None` by callers. +- `x: Optional[str]` -> `x: str | None` - PEP 604 spelling, no import. +- `items: List[Dict[str, int]]` -> `items: list[dict[str, int]]` - built-in generics since 3.9. +- `def first(xs)` returning `xs[0]` -> `def first[T](xs: Sequence[T]) -> T` - a type variable keeps the input and output linked. +- `assert user is not None` before use -> `if user is None: raise ...` then use - the guard is honest under `python -O`, the assert is not. + +## 5. Errors and exceptions + +An exception is Python's one mechanism for expected failure and for a bug alike; the discipline is to raise the specific one, catch only what you can handle, and never let a blanket catch turn a crash into silent wrong behavior. + +- Raise the most specific built-in exception that fits (`ValueError`, `TypeError`, `KeyError`, `FileNotFoundError`, `TimeoutError`), and define your own only when a caller needs to distinguish it. +- Derive every custom exception from `Exception` (never `BaseException`, which also catches `KeyboardInterrupt` and `SystemExit`), and give a library one base exception others inherit from, so a caller can catch the whole family with one `except`. +- Catch the narrowest type that can actually be raised at that point, and let everything else propagate; the caller that cannot handle an error should never see it swallowed. +- Never write a bare `except:` (it catches `SystemExit` and `KeyboardInterrupt` too) and never write `except Exception: pass`; if you truly mean to ignore one specific error, use `contextlib.suppress(ThatError)` so the intent is in the code. +- Preserve the cause: re-raise with `raise NewError(...) from err` to chain, or bare `raise` to re-raise the current exception unchanged; never `raise err` (it resets the traceback) and never swallow the original when wrapping. +- Do not use exceptions for ordinary control flow across module boundaries; a `StopIteration` leaking out of a generator or an exception used as a `goto` is a design smell (EAFP inside one function is fine). +- Validate at the boundary and raise there, so the core operates on values that cannot be invalid; do not scatter defensive `isinstance` checks through the internals. +- Put cleanup in a `finally` block or a context manager, never duplicated on the success and failure paths. +- Write the exception message as a specific, lowercase statement of what was wrong including the offending value (`f"port must be 1-65535, got {port}"`), not a generic "invalid input". +- Do not log-and-raise the same error at every layer; the layer that handles it logs it, every other layer just propagates. Use `logger.exception(...)` inside the handling `except` to capture the traceback once. +- Return a value for an expected "not found" only when absence is normal and the type says so (`X | None`, and the caller must handle `None`); raise when the caller asked for something that should exist. +- Use `else` on a `try` for the code that runs only if no exception was raised, keeping the `try` body to the single operation that can fail. +- Group and handle multiple concurrent failures with `ExceptionGroup` and `except*` (3.11+), which is what `asyncio.TaskGroup` raises. + +Reach for the narrowest construct: + +| Construct | Use for | +|---|---| +| a specific built-in `raise` | a violated precondition with a matching standard type | +| a custom exception subclass | a failure a caller must distinguish from others | +| `X \| None` return | an absence that is a normal, expected outcome | +| `assert` | an internal invariant that is a bug if false; never for validating input, since `-O` strips it | +| `contextlib.suppress(E)` | one specific exception you genuinely mean to ignore | +| `raise ... from err` | wrapping a lower-level error while keeping its cause | +| `ExceptionGroup` / `except*` | multiple failures from concurrent tasks | + +Detect in existing code: + +- `except:` or `except Exception:` with a `pass`, or a bare `except` that logs and continues as if nothing failed - the error is being hidden. +- `raise err` inside an `except` block - it resets the traceback; use bare `raise` or `raise New(...) from err`. +- an `except` that catches a broad type then re-checks with `isinstance` to decide what to do - split it into specific `except` clauses. +- `assert` used to validate function arguments or external input - stripped under `-O`, so the check silently vanishes in production. +- a custom exception inheriting from `BaseException`, or from nothing sensible - it escapes normal `except Exception` handling. + +Corrections: + +- `except Exception: pass` -> `except FileNotFoundError: return default` (or `contextlib.suppress`) - name the one error you handle. +- `raise ValueError(err)` in a handler -> `raise ValueError("...") from err` - chains the cause and keeps the traceback. +- `assert 0 < port < 65536` on user input -> `if not 0 < port < 65536: raise ValueError(...)` - asserts vanish under `-O`. +- `class MyError(BaseException)` -> `class MyError(Exception)` - `BaseException` swallows `KeyboardInterrupt`. +- `logger.error(e)` then `raise` at three layers -> `logger.exception(e)` once at the layer that handles it - one traceback, not three. +- `if not os.path.exists(p): raise` then `open(p)` -> just `open(p)` and catch `FileNotFoundError` - the check races with the open. + +## 6. API design and structure + +A module's public surface is a promise. Decide what is public at the moment you write it; widening later is easy, narrowing breaks callers. Prefer plain functions and data over ceremony, and reach for a class only when state and behavior genuinely travel together. + +- Mark everything not part of the public API with a single leading underscore; a name without one is a promise you must keep. +- Declare `__all__` in every package `__init__.py` and public module; it defines the wildcard-import surface and documents intent even for readers who never use `*`. +- Prefer a module of functions to a class of static methods; a class with no instance state and only `@staticmethod`s is a namespace pretending to be an object. +- Reach for a class only when data and the operations on it are bound together, or when you need multiple instances with independent state; otherwise a function that takes and returns data is simpler and more testable. +- Use `@dataclass` (or `attrs`) for a data-holding class instead of a hand-written `__init__`/`__repr__`/`__eq__`; use `frozen=True` for an immutable value and `slots=True` to cut per-instance memory. +- Use `pydantic` (or `attrs` with validators) when the data crosses a trust boundary and must be validated and coerced, not a plain dataclass, which validates nothing. +- Prefer keyword-only arguments for anything a caller would otherwise pass positionally by accident: put `*` in the signature (`def connect(host, *, timeout=30, retries=3)`), so `connect("h", 5, 2)` cannot silently mean the wrong thing. +- Do not add a parameter that is a `bool` flag switching behavior; split into two functions or take an `Enum`, because `render(x, True, False)` carries no meaning at the call site. +- Return one type from a function, not sometimes a value and sometimes `None` and sometimes a list; if absence is possible, the annotation is `X | None` and the caller is forced to handle it. +- Keep the number of positional parameters small (about four); past that, take a config object or keyword-only arguments. +- Do not expose a mutable internal container as a public attribute; return a copy, or expose read methods, so a caller cannot corrupt your invariants. +- Design `__init__` to be cheap and side-effect free (assign attributes, validate); put I/O and heavy work in a named classmethod (`Client.connect(...)`) or method, so the object can be constructed in tests without touching the network. +- Use `@classmethod` for alternative constructors (`from_file`, `from_json`) and `@property` for a computed read-only attribute; do not turn a cheap attribute into a property with hidden expense. +- Prefer composition to inheritance; inherit only for a genuine "is-a" with a stable base, and never build a deep hierarchy to share a few methods (a mixin or a helper function is usually the right tool). +- Define an interface with `typing.Protocol` (structural) in preference to an `abc.ABC` (nominal); reach for `ABC` only when you want to forbid instantiation of the base and enforce that subclasses implement the abstract methods. +- Make a function's signature stable: adding a keyword argument with a default is safe; removing or reordering parameters, or renaming a keyword, breaks callers. + +Detect in existing code: + +- a public name (no underscore) that is only used inside its own module - it should be `_private`. +- a class whose members are all `@staticmethod` - it should be a module of functions. +- a hand-written `__init__` that only assigns `self.x = x` for several fields, plus a matching `__repr__`/`__eq__` - it should be a `@dataclass`. +- a function taking a positional `bool` that switches its behavior - split it or take an `Enum`. +- `__init__` that opens a file, connects a socket, or spawns a thread - move the I/O to a classmethod or method. +- a module with no `__all__` exporting a large public surface - the intended API is undiscoverable. + +Corrections: + +- `class Utils: @staticmethod def parse(...)` -> module-level `def parse(...)` - a class with no state is a namespace. +- `def __init__(self, a, b): self.a = a; self.b = b` (plus `__repr__`, `__eq__`) -> `@dataclass` - the boilerplate is generated and correct. +- `def send(msg, urgent, retry)` with two bools -> `def send(msg, *, priority: Priority, retry: bool = True)` - keyword-only and an enum. +- `self.items = []` exposed and mutated by callers -> a `def add(self, x)` method or a copy-returning `def items(self)` - protect the invariant. +- `def connect(self): self.sock = socket(...)` in `__init__` -> a `@classmethod def connect(cls)` - keeps construction testable. +- `class Config(ABC)` with one implementation -> a `Protocol` or a plain dataclass - no abstraction until a second implementer exists. + +## 7. Modules, packages, and imports + +The import graph is the architecture. Keep it a shallow acyclic layering, name modules for the domain, and reach every name through an explicit import. + +- Put one domain concept per module; split a module past a few hundred lines or the moment it holds a second unrelated concept. +- Name a module for what it contains (`retry.py`, `tokenizer.py`), never `utils.py`, `helpers.py`, `common.py`, or `misc.py`; those names have no scope, so unrelated code accretes in them forever. When two modules need the same helper, create a third named module for it. +- Keep the import graph acyclic. A circular import (A imports B, B imports A) is a design error, not a case for a deferred import; break it by extracting the shared names into a third lower module both depend on. +- Use absolute imports (`from mypkg.core import parse`) in application and library code; reserve explicit relative imports (`from .core import parse`) for within a package, and never use implicit relative imports (they do not exist in Python 3). +- Import modules and packages, or specific names; never `from module import *` outside a REPL, because it hides where every name came from and lets one module silently clobber another's names. +- Import at the top of the file, not inside a function; a function-level import is justified only to break a genuine cycle you cannot restructure, or to defer a heavy optional dependency, and each such import needs a comment saying which. +- Do no real work at import time: a module that connects, reads a file, or spawns a thread when imported cannot be imported for testing, and slows startup for every consumer. Guard any script behavior with `if __name__ == "__main__":` and put it in `__main__.py` or a `[project.scripts]` entry point. +- Keep `__init__.py` a facade: the version, the curated re-exports, and `__all__`. No logic, no side effects. +- Default the visibility of every name to private (leading underscore) inside a module, and promote to public only what the API needs. +- Do not reach across the layering: a lower-level module must not import a higher-level one, or the graph stops being a layering. +- Parse external input at the boundary into a typed object (a dataclass, a pydantic model), so the interior never handles a raw `dict` of unknown shape. + +Detect in existing code: + +- a module named `utils`, `helpers`, `common`, `misc`, `stuff` - rename it for the concept it holds, or split it. +- an import inside a function with no comment - either hoist it, or say which cycle or optional dependency forced it. +- `from x import *` - replace with explicit names so the origin of each is visible. +- code at module top level that performs I/O or heavy computation - move it behind a function and a `__main__` guard. +- two modules that import each other - extract the shared names downward into a third module. + +Corrections: + +- `import utils` -> `import retry` / `import parsing` - name the concept, so it has a scope and a home. +- `from .models import *` -> `from .models import User, Order` - each name's origin stays visible. +- a deferred `import numpy` inside a hot function to dodge a cycle -> restructure the modules so the cycle is gone. +- `db = connect()` at module top level -> `def get_db(): ...` called where needed - no I/O at import time. +- `from ..pkg.sub.mod import thing` (deep relative) -> `from mypkg.sub.mod import thing` - absolute imports survive moves. + +## 8. Projects, environments, and packaging + +Packaging is Python's historical pain point, and almost all of that pain comes from installing into a shared interpreter and from ad-hoc, unlocked dependency sets. The fix is mechanical: one `pyproject.toml`, one isolated environment per project, one committed lockfile, and a modern tool that manages all three. Prefer `uv`; `pip` with `venv` is the fallback that always works. + +- Put all project metadata, dependencies, and tool configuration in `pyproject.toml` (PEP 621). Do not use `setup.py`, `setup.cfg`, `requirements.txt` as the source of truth, or `Pipfile` for new projects; they are legacy or redundant. +- Never install packages into the system or a shared interpreter. Every project gets its own virtual environment, and `uv` creates and manages it for you (`uv sync`); with plain tooling, `python -m venv .venv` and activate it. +- Commit a lockfile (`uv.lock`, or a fully pinned `requirements.txt` compiled by `uv pip compile`/`pip-tools`). The lockfile records exact versions and hashes so every machine and CI run resolves the identical environment; without it, "works on my machine" is unfalsifiable. +- Declare direct dependencies in `[project.dependencies]` with permissive lower-bound constraints (`httpx>=0.27`), not exact pins; let the lockfile hold the exact versions. Pinning exact versions in a library forces conflicts on every consumer. +- Separate dev-only tools (the linter, the test runner, the type checker) into `[dependency-groups]` (PEP 735) or optional-dependency extras, so they never ship in the runtime environment. +- Pick a build backend and declare it in `[build-system]`: `hatchling` is a good modern default; `setuptools`, `flit-core`, `pdm-backend`, and `uv_build` are all fine. State it explicitly; there is no implicit default. +- Adopt the src layout (section 1) so the installed package, not the working tree, is what gets tested. +- Specify the supported Python versions once with `requires-python = ">=3.11"` and test against each; do not claim support for a version you never run. +- Expose command-line tools through `[project.scripts]` entry points, not a checked-in shell script or a `python path/to/file.py` invocation; the entry point installs onto the `PATH` and works cross-platform. +- Run one-off tools without polluting a project environment with `uvx ` (or `pipx run`); install a global CLI with `uv tool install` (or `pipx install`), never with a plain global `pip install`. +- Reproduce CI's environment exactly from the lockfile (`uv sync --frozen`, or `pip install` from the compiled requirements with hashes); never let CI resolve fresh versions, or the build is non-deterministic. +- Keep secrets and machine-specific config out of `pyproject.toml`; it is committed. Read them from the environment. +- Confirm every dependency is the specific, existing project you intend before adding it (section 9); a wrong or squatted name installs and runs setup code exactly like the real one. + +A minimal, modern `pyproject.toml`: + +```toml +[project] +name = "mypkg" +version = "0.1.0" +description = "One line." +readme = "README.md" +requires-python = ">=3.11" +license = "MIT" +dependencies = [ + "httpx>=0.27", + "pydantic>=2.7", +] + +[project.scripts] +mypkg = "mypkg.cli:main" + +[dependency-groups] +dev = [ + "pytest>=8", + "ruff>=0.6", + "mypy>=1.11", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.ruff] +line-length = 100 + +[tool.pytest.ini_options] +addopts = "-ra --strict-markers" +testpaths = ["tests"] +``` + +The everyday loop with `uv`: + +| Command | What it does | +|---|---| +| `uv init` | scaffold a new project with `pyproject.toml` and src layout | +| `uv add httpx` | add a dependency, update `pyproject.toml` and `uv.lock`, sync the env | +| `uv add --dev pytest` | add a dev-group dependency | +| `uv sync` | make the environment match the lockfile exactly | +| `uv sync --frozen` | the same, failing if the lockfile is stale (use in CI) | +| `uv run pytest` | run a command inside the project environment | +| `uv lock --upgrade` | re-resolve to newer versions and update the lockfile | +| `uvx ruff check` | run a tool one-off in an ephemeral environment | +| `uv build` | build the wheel and sdist | +| `uv tool install ruff` | install a CLI globally, isolated from every project | + +Detect in existing code: + +- a `requirements.txt` with no hashes or a range of unpinned versions used as the source of truth - there is no reproducible environment. +- a `setup.py` doing dynamic work, or `setup.cfg` alone - migrate metadata to `pyproject.toml`. +- an install command that omits a virtual environment (`pip install X` with no active venv) - it mutates a shared interpreter. +- dev tools (`pytest`, `ruff`, `mypy`) listed in runtime `[project.dependencies]` - they ship to users who do not need them. +- exact `==` pins in a library's declared dependencies - they force version conflicts on consumers. + +Corrections: + +- `pip install -r requirements.txt` unpinned -> `uv sync` from a committed `uv.lock` - exact, reproducible, hash-verified. +- `setup.py` with `install_requires=[...]` -> `[project.dependencies]` in `pyproject.toml` - one declarative source of truth. +- `python scripts/run.py` -> a `[project.scripts]` entry point invoked as `mypkg` - installs on the PATH, cross-platform. +- `pip install black` globally -> `uv tool install ruff` (or `uvx ruff`) - isolated, no interference with projects. +- `httpx==0.27.0` in a library -> `httpx>=0.27` in the project, exact version in the lockfile - avoids downstream conflicts. + +## 9. The dependency stack + +The standard library is large and covers more than newcomers expect; reach for it first. Add a third-party package only for something the stdlib genuinely lacks or does badly, and take the ecosystem default rather than a novelty. + +- Add a dependency only when all hold: it does something non-trivial you would otherwise get wrong, you will keep using it, it is actively maintained (a release within roughly a year), and it does not drag in a large tree for a small feature. +- Check the project's PyPI page and source repository before adding it: confirm the exact name, the maintenance status, the license, the Python versions supported, and the size of its own dependency tree. A near-miss or hallucinated name can resolve to an unrelated or malicious package that installs and runs code exactly like the real one. When you cannot confirm identity, add nothing and use the stdlib. +- Reach for the stdlib first: `pathlib`, `dataclasses`, `enum`, `functools`, `itertools`, `collections`, `json`, `datetime`, `logging`, `argparse`, `subprocess`, `contextlib`, `typing`, and `tomllib` (read TOML, 3.11+) remove a dependency each. +- Turn off optional extras you do not use, and gate a heavy optional dependency behind an extra of your own so users opt in. +- Do not pin exact versions in a library; let the resolver and the consumer's lockfile decide (section 8). +- Do not vendor or copy a dependency's source into your tree to avoid declaring it; declare it. + +| Need | Default | Alternative, and when | +|---|---|---| +| project & environment management | `uv` | `pip` + `venv` + `pip-tools` where `uv` is unavailable; `poetry`/`pdm` in existing projects that use them | +| HTTP client | `httpx` | `requests` for sync-only legacy; `urllib.request` for one call with zero dependencies | +| data validation / settings | `pydantic` v2 | `attrs` + `cattrs` for plain classes without the runtime; `dataclasses` when no validation is needed | +| CLI | `typer` (or `click`) | stdlib `argparse` for a small tool with no dependency budget | +| test runner | `pytest` | stdlib `unittest` only in an environment that forbids dependencies | +| linter + formatter | `ruff` (both) | `flake8` + `black` + `isort` in projects not yet migrated | +| type checker | `mypy` | `pyright`/`basedpyright` for speed and stricter inference | +| logging | stdlib `logging` (configured once) | `structlog` for structured logs; `loguru` for a simpler API in an app | +| date/time | stdlib `datetime` + `zoneinfo` | `whenever` for a stricter API; avoid `pytz` (superseded by `zoneinfo`) | +| numerical arrays | `numpy` | stdlib `array`/`statistics` for small, simple cases | +| dataframes | `polars` | `pandas` where the ecosystem or existing code requires it | +| async task orchestration | stdlib `asyncio` (`TaskGroup`) | `anyio` for backend-agnostic async; `trio` for structured concurrency | +| serialization (fast JSON) | stdlib `json` | `orjson` when JSON is a measured hot path | +| retries / backoff | `tenacity` | a hand-written loop only for the trivial case | +| environment config | `pydantic-settings` | stdlib `os.environ` + explicit parsing for a couple of values | +| ORM / database | `sqlalchemy` 2.0 | `sqlite3` (stdlib) for local SQLite; an async driver for async apps | +| web framework | `fastapi` (APIs) / `django` (full stack) | `flask` for a small sync app; `starlette` for a minimal ASGI base | + +Replace on sight: + +| Superseded | Use instead | +|---|---| +| `pytz` | stdlib `zoneinfo` | +| `os.path` string surgery | `pathlib.Path` | +| `%`-formatting / `.format()` for new code | f-strings | +| `flake8` + `black` + `isort` + `pyupgrade` | `ruff` (one tool for all) | +| `setup.py` / `setup.cfg` as source of truth | `pyproject.toml` | +| `nose` / `nose2` | `pytest` | +| `pipenv` for new projects | `uv` | +| `dataclass` + hand-written validation on a boundary | `pydantic` v2 | + +## 10. Documentation + +A docstring is the one piece of documentation the runtime and the tools can see: `help()`, IDEs, and doc generators all read it. Write it for the caller who has the signature in front of them and needs to know what the function does, not how. + +- Give every public module, class, function, and method a docstring (PEP 257); a leading underscore excuses a private one, but a public name without a docstring is incomplete. +- Write the first line as a single imperative-mood sentence ending in a period: `"""Return the parsed config."""`, not `"""This function returns..."""` and not a fragment. +- For a multi-line docstring, put the summary on the first line, a blank line, then the details; the closing `"""` goes on its own line. +- Do not restate the signature or the types in prose; the annotations already carry them. Document what the annotations cannot: what the function does, the meaning of each parameter, what it returns, which exceptions it raises and when, and any side effect. +- Pick one docstring style for the project and use it everywhere: Google style (readable, the common default), NumPy style (dense APIs), or reStructuredText. Do not mix styles. +- Document every exception a caller can trigger in a `Raises:` section, matching section 5's contract. +- Keep comments for the why, not the what: a comment that narrates the next line (`# increment i`) is noise; a comment that names a non-obvious reason (`# API returns seconds, not ms`) earns its place. +- Delete a comment or docstring the moment the code it describes changes; a stale comment is worse than none, because it is trusted. +- Put runnable examples in docstrings as doctests when they are simple, and run them in CI (`pytest --doctest-modules`), so an example cannot rot silently. +- Keep the narrative documentation (README, guides) in `docs/` and out of the wheel; the README's one compiling example, the install line, and the license are what a new user reads first. +- Do not commit commented-out code; version control remembers it, and a block of dead code confuses every future reader. + +A model Google-style docstring: + +```python +def load(path: Path, *, strict: bool = True) -> Config: + """Load and parse a TOML config file. + + Args: + path: Path to the TOML file to read. + strict: If true, reject unknown keys instead of ignoring them. + + Returns: + The parsed configuration. + + Raises: + FileNotFoundError: If ``path`` does not exist. + ValueError: If the file is not valid TOML or a key is unknown. + """ +``` + +Detect in existing code: + +- a public function, class, or module with no docstring - `help()` and the IDE have nothing to show. +- a docstring that repeats the parameter types already in the annotations - it will drift out of sync; document meaning instead. +- a comment that narrates the code (`# loop over items`) - delete it. +- commented-out code left in the file - delete it; the history has it. +- a docstring in a different style from the rest of the module - unify on one. + +Corrections: + +- `"""This method will return the total."""` -> `"""Return the total."""` - imperative, present, one line. +- a `Args:` block re-typing `x (int)` when `x: int` is annotated -> describe what `x` means, not its type. +- `# set x to 5` above `x = 5` -> delete the comment - it restates the code. +- a large commented-out block -> delete it - version control is the archive. + +## 11. Testing + +A change without a test is incomplete: nothing guards against the regression. Use `pytest`, keep tests fast and isolated, and test behavior through the public API rather than internals. + +- Put tests in a top-level `tests/` directory, one test module per source module (`test_core.py` for `core.py`), and name test functions `test_`. +- Use plain `assert`; pytest rewrites it to show both sides on failure, so `assert result == expected` needs no `assertEqual`. +- Test through the public API, not private functions; a test coupled to internals breaks on every refactor and proves nothing about behavior. +- Make every test independent and order-free: no shared mutable state, no reliance on another test having run. Randomize order in CI (`pytest-randomly`) to catch hidden coupling. +- Use fixtures for setup and teardown, put shared ones in `conftest.py`, and prefer `yield` fixtures over manual setup/teardown so cleanup runs even on failure. +- Parametrize repetitive cases with `@pytest.mark.parametrize` instead of copying a test body with different literals. +- Use `tmp_path` (a `pathlib.Path` fixture) for anything touching the filesystem; never write inside the source tree or a fixed temp path two tests could collide on. +- Assert that expected exceptions are raised with `with pytest.raises(ValueError, match="port"):`, always with a `match` so it cannot pass on an unrelated error of the same type. +- Mock at the boundary you own, and patch where the name is looked up, not where it is defined (`patch("mypkg.core.httpx")`, not `patch("httpx")`); over-mocking internals tests the mock, not the code. +- Keep the unit suite fast (well under a second per test); mark slow or networked tests (`@pytest.mark.slow`) and run them on a schedule, not on every save. +- Seed any randomness explicitly and print the seed on failure, so a property or fuzz failure reproduces. +- Measure coverage (`pytest-cov`) to find untested paths, but do not chase 100%; a meaningful assertion beats a line touched with no assertion. +- Use `hypothesis` for invariants over generated input when a function has a property that should hold for all inputs, not just the examples you thought of. + +```python +import pytest +from mypkg.core import parse + +@pytest.mark.parametrize( + ("raw", "expected"), + [("", {}), ("a=1", {"a": 1}), ("a=1;b=2", {"a": 1, "b": 2})], +) +def test_parse_pairs(raw, expected): + assert parse(raw) == expected + +def test_parse_rejects_missing_value(): + with pytest.raises(ValueError, match="missing value"): + parse("a=") + +def test_writes_to_tmp(tmp_path): + target = tmp_path / "out.txt" + target.write_text("data") + assert target.read_text() == "data" +``` + +Detect in existing code: + +- a test with no assertion, or one asserting nothing about behavior - it only proves the code did not crash. +- `pytest.raises(Exception)` or `pytest.raises(ValueError)` with no `match` - it passes on any error of that breadth. +- a test importing and exercising a `_private` function - it is coupled to internals and will break on refactor. +- tests that must run in a fixed order, or share module-level mutable state - hidden coupling, flaky under reordering. +- a test writing to a hard-coded path instead of `tmp_path` - two runs or two tests collide. + +Corrections: + +- `unittest`-style `self.assertEqual(a, b)` -> `assert a == b` - pytest shows both sides with a plain assert. +- five near-identical test functions -> one `@pytest.mark.parametrize` - the cases become data. +- `with pytest.raises(ValueError):` -> `with pytest.raises(ValueError, match="..."):` - pin which error. +- `patch("requests.get")` when the code does `from requests import get` -> patch the name in the module under test. +- a test writing `./out.txt` -> use the `tmp_path` fixture - isolated per test, cleaned up automatically. + +## 12. Lints, tooling, and CI + +Every guarantee that a tool can enforce should be enforced by a tool, not by a reviewer. Configure the tools once in `pyproject.toml`, run the same commands locally and in CI, and gate merges on them. + +- Use `ruff` for both linting and formatting; it replaces `flake8`, `isort`, `black`, `pyupgrade`, and more in one fast tool. Configure it in `[tool.ruff]`. +- Turn on a broad rule set and narrow down: enable at least `E`, `F`, `I` (imports), `B` (bugbear, catches the mutable-default and other gotchas), `UP` (pyupgrade), and `SIM`; add `RUF` and others as the project tolerates. +- Run a type checker (`mypy` or `pyright`) in CI in strict mode on the package, and treat a type error as a build failure; an unchecked annotation is worthless. +- Do not scatter `# noqa` or `# type: ignore` without a specific code and a reason: write `# noqa: E501` and `# type: ignore[arg-type]`, never a bare blanket ignore, and enable `warn_unused_ignores` so a stale suppression is itself an error. +- Configure mypy strictly: `strict = true`, plus `warn_unused_ignores` and `warn_return_any`. A gradually typed codebase can raise strictness module by module with per-module overrides. +- Use `pre-commit` to run the formatter, linter, and quick checks before every commit, so nothing unformatted or unlinted reaches the branch. +- Keep the CI gate fast and split into attributable steps: format check, lint, type check, test. One aggregate job depends on all of them and is the required status check. +- Test against every Python version in `requires-python`, in a matrix; do not claim support you never exercise. +- Never install into the CI runner's system interpreter; `uv sync --frozen` (or a hash-pinned `pip install`) reproduces the locked environment exactly. +- Do not disable a lint rule globally to silence one occurrence; suppress it at the line with a code and a reason, or fix the code. + +The local loop before pushing: + +| Command | What it checks | +|---|---| +| `uv run ruff format --check .` | formatting matches the configured style | +| `uv run ruff check .` | lint rules across the tree | +| `uv run mypy src` | static types, in strict mode | +| `uv run pytest` | the test suite against the installed package | +| `uv lock --check` (or `uv sync --frozen`) | the lockfile is current and honored | + +A minimal CI matrix: + +```yaml +jobs: + test: + strategy: + fail-fast: false + matrix: + python: ["3.11", "3.12", "3.13"] + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: astral-sh/setup-uv@v3 + - run: uv sync --frozen --python ${{ matrix.python }} + - run: uv run ruff format --check . + - run: uv run ruff check . + - run: uv run mypy src + - run: uv run pytest +``` + +Detect in existing code: + +- separate `black`, `isort`, and `flake8` configs where one `ruff` config would do - consolidate. +- a bare `# noqa` or `# type: ignore` with no code - it silences every future error on that line too. +- no type checker in CI, or mypy not in strict mode - annotations are unenforced. +- CI that resolves dependencies fresh instead of from the lockfile - the build is non-deterministic. + +Corrections: + +- `# type: ignore` -> `# type: ignore[arg-type] # reason` - narrow to the one error and say why. +- `# noqa` -> `# noqa: E501` - suppress the specific rule, not all of them. +- `flake8` + `black` + `isort` in `pre-commit` -> a single `ruff` hook (check + format) - one fast tool. +- `pip install -e .` in CI with no lockfile -> `uv sync --frozen` - reproducible. + +## 13. Performance + +Measure before optimizing. Python's cost is usually in the wrong algorithm, redundant I/O, or per-item work that should be batched, not in the language; and the biggest wins come from using the right data structure and calling into C (stdlib, numpy) rather than from clever pure-Python tricks. + +- Profile before changing anything: `cProfile` (with `snakeviz` or `tuna` to view) for where wall time goes, `timeit` for a micro-benchmark, `tracemalloc` for where memory is allocated, `py-spy` for a sampling profile of a running process without instrumentation. +- Fix the algorithm first: a membership test on a `set` or `dict` is O(1) versus O(n) on a `list`; the single biggest speedup is usually swapping a `list` scan for a `set`. +- Use the right data structure: `collections.deque` for a queue (O(1) at both ends, unlike a list's O(n) `pop(0)`), `heapq` for a priority queue, `Counter` for tallies, `dict`/`set` for lookups. +- Batch I/O: one query for N ids beats N queries; read a file once; do not call the network inside a loop when a bulk call exists. +- Do not build a list you only iterate once; use a generator, which streams and allocates nothing. +- Build strings by collecting parts in a list and `"".join(parts)` once, never by `+=` in a loop, which is quadratic. +- Hoist invariant work out of loops: compile a regex once with `re.compile`, look up an attribute or method once into a local, compute a constant once. +- Cache pure functions with `functools.cache`/`lru_cache` and expensive attributes with `functools.cached_property`, rather than hand-rolled memoization. +- Add `__slots__` to a class instantiated in large numbers to cut per-instance memory and speed attribute access. +- Push numeric work into `numpy` (or `polars`) and operate on whole arrays; a Python-level loop over millions of numbers is the wrong tool. +- Do not micro-optimize cold code; readability wins everywhere the profiler does not point. +- Understand the GIL before reaching for threads for speed (section 14): threads do not parallelize CPU-bound pure-Python work on current CPython. + +| Question | Tool | +|---|---| +| where does wall time go | `cProfile` + `snakeviz`/`tuna`, or `py-spy` on a live process | +| is this snippet faster than that one | `timeit` | +| where is memory allocated | `tracemalloc`, `memray` | +| what does a running production process do | `py-spy dump` / `py-spy top` | + +Corrections: + +- `x in a_list` in a hot loop -> build a `set` once, then `x in a_set` - O(1) instead of O(n) per check. +- `s += part` in a loop -> `parts.append(part)` then `"".join(parts)` - avoids quadratic reallocation. +- `lst.pop(0)` in a loop -> `collections.deque` and `popleft()` - O(1) instead of O(n). +- `re.match(pattern, x)` with a literal pattern in a loop -> `rx = re.compile(pattern)` once, then `rx.match(x)`. +- a pure function recomputed with the same args -> `@functools.cache` on it. +- a Python loop summing a million floats -> `numpy` array operations. + +## 14. Concurrency and async + +Choose the concurrency model by whether the work waits or computes. The GIL means threads do not speed up CPU-bound pure-Python code; they help only I/O-bound work. This is the single most misunderstood fact in Python performance. + +- I/O-bound and you control the whole call graph: use `asyncio`. It scales to thousands of concurrent waits on one thread. +- I/O-bound with blocking libraries you cannot rewrite: use a `ThreadPoolExecutor` (or `asyncio.to_thread`); threads release the GIL during blocking I/O, so they overlap waits. +- CPU-bound: use a `ProcessPoolExecutor` or `multiprocessing`; separate processes have separate GILs and use multiple cores. (On 3.13+ free-threaded builds the GIL can be disabled, but do not assume that build.) +- Do not reach for concurrency at all for a short script or a sequential task; it adds failure modes for no benefit. +- In `asyncio`, never call a blocking function (`time.sleep`, `requests.get`, a sync DB driver, heavy CPU work) directly in a coroutine; it freezes the entire event loop. Send blocking I/O to `asyncio.to_thread` and CPU work to a process pool via `loop.run_in_executor`. +- Await every coroutine or schedule it as a task; a coroutine that is never awaited does nothing and warns. Do not fire-and-forget without keeping a reference, or the task may be garbage-collected mid-flight. +- Structure concurrent tasks with `asyncio.TaskGroup` (3.11+), which cancels siblings on failure and raises an `ExceptionGroup`, rather than bare `asyncio.gather` with manual cancellation. +- Use `asyncio.timeout()` (3.11+) as a context manager for deadlines instead of wrapping every call in `wait_for`. +- Protect shared mutable state accessed from multiple threads with a `threading.Lock`, and prefer a `queue.Queue` to hand data between threads over a shared list plus a lock. +- Do not share a mutable object across processes expecting mutations to be visible; processes have separate memory. Pass data through the pool's arguments and return values, which are pickled. +- Hold a lock for the shortest possible span, and never perform I/O or await while holding a threading lock, which serializes everything waiting on it. +- Make anything spawned daemonic only when you accept it dying abruptly at exit; otherwise join it, and shut down cleanly with a cancellation signal. + +| Situation | Tool | +|---|---| +| thousands of concurrent network calls | `asyncio` with `TaskGroup` | +| a few blocking I/O calls from async code | `asyncio.to_thread` / `ThreadPoolExecutor` | +| CPU-bound work across cores | `ProcessPoolExecutor` / `multiprocessing` | +| hand data safely between threads | `queue.Queue` | +| one long-lived background worker | a `threading.Thread` plus a queue, joined at shutdown | +| a deadline on an async operation | `async with asyncio.timeout(seconds):` | +| run a batch of async tasks, fail as a group | `asyncio.TaskGroup` | + +Detect in existing code: + +- `time.sleep`, `requests.get`, or a sync DB call inside an `async def` - it blocks the whole event loop; use the async equivalent or `to_thread`. +- a `ThreadPoolExecutor` used for CPU-bound pure-Python work expecting a speedup - the GIL prevents it; use processes. +- a coroutine called without `await` (`do_work()` on its own line) - it never runs and warns. +- shared mutable state touched by multiple threads with no lock - a data race. +- `asyncio.gather` with manual per-task cancellation on error - a `TaskGroup` does it correctly. + +Corrections: + +- `time.sleep(1)` in a coroutine -> `await asyncio.sleep(1)` - thread sleep freezes the loop. +- `requests.get(url)` in a coroutine -> `await client.get(url)` with `httpx.AsyncClient`, or `await asyncio.to_thread(requests.get, url)`. +- `ThreadPoolExecutor` for a CPU-heavy map -> `ProcessPoolExecutor` - separate GILs, real parallelism. +- `results = await asyncio.gather(*tasks)` with try/except cancellation -> `async with asyncio.TaskGroup() as tg: ...` - structured cancellation. +- a shared `list` appended from threads -> a `queue.Queue`, or a `Lock` around the append. + +## 15. Code smells and anti-patterns + +These are the recurring shapes that pass review and rot a codebase. Each has a mechanical tell and a mechanical fix. + +- God function or class: a function past a couple hundred lines, or a class with a dozen unrelated methods and fields, is doing several jobs. Split it along its phases or responsibilities into named units. +- Deep nesting: more than three levels of `if`/`for` is a readability failure. Flatten with early returns (guard clauses), by extracting the inner block into a function, or by using `any`/`all`/a comprehension. +- Duplicated logic: the same transformation in two places drifts apart. Extract a named function and call it from both. (But do not over-abstract a coincidental similarity; two things that merely look alike today are not one thing.) +- Primitive obsession: passing around bare `dict`s, tuples, and strings for a structured concept. Model it as a dataclass or an enum, so its shape is discoverable and its invalid states are unrepresentable. +- Boolean flag parameters that switch behavior: `f(x, True)` is unreadable at the call site. Split the function or take an enum (section 6). +- Stringly-typed code: passing a mode or a kind as a raw string and branching on it. Use an `Enum` so a typo is a `NameError`, not a silent wrong branch. +- Stored derived state: keeping a field that can be computed from other fields, which then drifts out of sync. Compute it at the point of use, or make it a `@property`/`cached_property`. +- Defensive `isinstance` ladders and type-switching: a function that branches on the runtime type of its argument usually wants polymorphism or an overload, or should have validated at the boundary. +- Catch-and-continue: `except Exception: pass` (section 5) hides the bug you will be paged for. +- Global mutable state: a module-level list or dict mutated from many places is untestable and race-prone. Pass state explicitly, or encapsulate it. +- Magic numbers and literals: an unexplained `86400` or `0.05` repeated in code. Name it a module constant (`SECONDS_PER_DAY`). +- Reinventing the stdlib: hand-rolling what `itertools`, `collections`, `functools`, `pathlib`, or `dataclasses` already provides, usually with a subtle bug the stdlib version does not have. +- Overengineering: a factory, a registry, and three abstract base classes for one concrete implementation. Add the abstraction when the second implementation exists, not before (YAGNI). +- Comments that lie: a comment or docstring describing behavior the code no longer has. Delete or fix it in the same change as the code. +- Wildcard imports and `utils` modules (sections 7): they hide origins and accrete unrelated code. + +Corrections: + +- a 300-line function with three phases -> three named functions and a small orchestrator - each phase is testable alone. +- `if a: if b: if c: do()` -> `if not (a and b and c): return` then `do()` - flatten with a guard. +- `{"x": 1, "y": 2}` passed as a "point" everywhere -> a `@dataclass Point` - the shape becomes discoverable and typed. +- `if mode == "fast": ... elif mode == "slow": ...` on raw strings -> a `Mode(Enum)` - a typo becomes an error. +- `self.total = sum(self.items)` stored and re-synced -> a `@property def total(self)` - no drift. +- a hand-written grouping loop -> `itertools.groupby` or a `defaultdict(list)` - the stdlib is correct. +- `TAX = 0.2` inlined as `0.2` in five places -> one named constant referenced everywhere. + +## 16. Version-sensitive facts + +These change with the interpreter and the tools. Check them against the versions you target before relying on one. + +Language and stdlib milestones (a lower floor forces the older spelling): + +| Feature | Needs | +|---|---| +| free-threaded (no-GIL) builds, optional | 3.13 | +| `type X = ...` aliases and `def f[T]()` generics (PEP 695) | 3.12 | +| f-string grammar relaxed (nested quotes, multiline) | 3.12 | +| `ExceptionGroup`, `except*`, `asyncio.TaskGroup`, `asyncio.timeout`, `Self`, `tomllib` | 3.11 | +| significantly faster interpreter ("Faster CPython" begins) | 3.11 | +| pattern matching (`match`/`case`, PEP 634) | 3.10 | +| `X | Y` union syntax in annotations (PEP 604) | 3.10 | +| built-in generics `list[int]` (PEP 585) | 3.9 | +| `dict` merge operators `\|`/`\|=`, `str.removeprefix`/`removesuffix` | 3.9 | +| the walrus operator `:=`, positional-only `/` params | 3.8 | +| `dataclasses`, `f-strings` (3.6), `breakpoint()` | 3.7 | + +Notes that shift with the toolchain: + +- `from __future__ import annotations` makes all annotations lazy strings (PEP 563); still useful on older runtimes for forward references, but do not assume PEP 649's deferred evaluation is the default unless you target 3.14+. +- `ruff` moves fast; rule codes and defaults change between releases. Pin a minimum version and re-read the changelog on upgrade. +- `pydantic` v1 and v2 have incompatible APIs; new code targets v2. Do not mix guidance across the boundary. +- `uv` is young and evolving quickly; its lockfile format and commands may change. Pin it and check the docs for the version you run. +- Type-checker strictness defaults differ between `mypy` and `pyright`, and between their versions; state the checker and its config rather than assuming a default. + +## 17. File index + +| Concept | Files | +|---|---| +| project metadata, dependencies, tool config | `pyproject.toml` | +| locked environment | `uv.lock` (or a hash-pinned compiled `requirements.txt`), committed | +| package facade and version | `src//__init__.py` | +| `python -m` entry | `src//__main__.py` | +| type-information marker | `src//py.typed` | +| one domain concept | `src//.py` | +| private module | `src//_.py` | +| tests | `tests/test_.py` | +| shared fixtures | `tests/conftest.py` | +| pre-commit hooks | `.pre-commit-config.yaml` | +| narrative docs | `docs/`, `README.md` | +| CI | `.github/workflows/` | + +## Binding rules (restated) + +- Never bind a mutable default argument; default to `None` and build the value in the body. +- Catch the narrowest exception you can handle; never a bare `except` or a swallow-and-continue. +- Type every public signature and enforce it with a type checker in CI. +- Pin the environment with a committed lockfile and never install into a shared interpreter. +- Format with the formatter and pass the linter before every commit; the tool settles it. +- Verify every dependency is the intended, existing project before adding it; a wrong name installs and runs like the real one. +- Manage every external resource with a `with` block, never a bare open-and-close you must remember. + +*2026-07-25 - claude-opus-4-8 (pi agent). Distilled from PEP 8, PEP 20, PEP 257, PEP 484/585/604/621/695, the Python packaging guidance (PyPA), and current tooling practice around uv, ruff, mypy, and pytest.* From 30bce506d42538d52d80b0f3e1f45e1a935e2f04 Mon Sep 17 00:00:00 2001 From: Jason Brazeal Date: Thu, 13 Aug 2026 10:14:46 -0700 Subject: [PATCH 02/14] deleted first pass at rulebook (not good); second pass broken into brief + plan; brief is good, plan is not, will redo --- python-rulebook-plan.md | 417 ++++++++++++++++ python-rulebook-research-brief.md | 46 ++ rulebooks/python-rulebook.md | 776 ------------------------------ 3 files changed, 463 insertions(+), 776 deletions(-) create mode 100644 python-rulebook-plan.md create mode 100644 python-rulebook-research-brief.md delete mode 100644 rulebooks/python-rulebook.md diff --git a/python-rulebook-plan.md b/python-rulebook-plan.md new file mode 100644 index 0000000..8c3f14c --- /dev/null +++ b/python-rulebook-plan.md @@ -0,0 +1,417 @@ +# Plan: Writing the Python Rulebook + +This document is the build plan for `rulebooks/python-rulebook.md`, a reference an AI loads before writing, reviewing, or cleaning up Python. Follow this plan section by section; it carries every fact, snippet, config template, and citation the writer needs, so no further web research is required. Bullets here are the outline for the rulebook's prose — expand each into a rule with a reason and, where marked, a bad→good snippet. + +Acronyms used throughout, defined once: PEP ([Python Enhancement Proposal](https://peps.python.org/pep-0001/)), EAFP (Easier to Ask Forgiveness than Permission), LBYL (Look Before You Leap), GIL (Global Interpreter Lock), ABC (Abstract Base Class), API (Application Programming Interface), CI (Continuous Integration), TOCTOU (Time-Of-Check to Time-Of-Use), PyPUG ([Python Packaging User Guide](https://packaging.python.org/)), SPDX ([Software Package Data Exchange](https://spdx.org/licenses/)) license identifier. + +## How to write the rulebook + +Match the house format of the sibling files (`javascript-rulebook.md`, `typescript-rulebook.md`, `cpp-rulebook.md`). Concretely: + +- **Frontmatter:** a YAML `description:` line summarizing scope (language syntax, layout, packaging, typing, errors, API design, imports, dependencies, docs, testing, tooling, performance, concurrency, gotchas). +- **HTML comment** after frontmatter: one line telling the model to load this file before writing/reviewing/cleaning Python, and that sections are consulted one at a time so their combined length is not the constraint count. +- **Title** `# Rulebook: Writing Python`, one framing paragraph, then an image line `![The Python Workshop](images/python-rulebook.png)`. Always include this line — the human supplies a companion image for every rulebook, so the asset will exist. +- **`## Non-negotiable rules`** section immediately after the intro: 6–8 bullets, each an imperative with a terse reason, restated verbatim at the end of the file. Draw them from the cross-source themes: EAFP over LBYL, never bare `except:`/silent failure, modern typing syntax, no mutable default args, choose concurrency model by workload, `snake_case`/`PascalCase`/`UPPER_CASE` naming, format with Ruff + type-check with mypy. +- **Numbered sections**, ordered most-to-least frequently needed during cleanup (order given below). +- **Every rule** is mechanically detectable and carries a concrete bad→good correction where behavior is checkable. Mark behavior-changing fixes as suggestions, not silent auto-fixes. +- **Per-section `### Corrections` list** (optional but preferred, matching JS rulebook): one-line `bad -> good - reason` entries, `*` marking behavior-changing ones. +- **Closing restatement** of the non-negotiable rules. +- Cite the governing PEP or doc inline as a link the first time a rule references it, exactly as the sibling rulebooks link MDN. + +**Target version baseline:** assume Python 3.10+ as the default (enables `X | Y` unions, `match`, `slots=True`). Gate newer features by version in the text: 3.11 (`Self`, `StrEnum`, `ExceptionGroup`/`except*`, `TaskGroup`, `tomllib`), 3.12 (PEP 695 `class C[T]` generics, `type` alias statement), 3.13 (experimental free-threaded build). For code that must run on 3.9, note the `from __future__ import annotations` fallback. + +**Section order** (frequency-first): 1 Naming & style · 2 Idioms & the Zen · 3 Typing · 4 Errors & exceptions · 5 Functions, classes & API design · 6 Imports · 7 Docstrings & documentation · 8 Project layout & packaging · 9 Dependencies & environments · 10 Tooling (Ruff, mypy, pre-commit) · 11 Testing · 12 Concurrency · 13 Performance · 14 Gotchas & anti-patterns. + +--- + +## Section 1 — Naming & style + +Sources to cite: [PEP 8](https://peps.python.org/pep-0008/), [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html). + +**Naming (bad→good worth showing):** +- `snake_case` for functions, variables, methods, modules, packages; packages prefer no underscores. +- `PascalCase`/CapWords for classes, exceptions, and type variables. +- `UPPER_CASE` for module-level constants. +- `_leading_underscore` = internal/non-public; `__double_leading` = name-mangled in a class; `__dunder__` reserved — never invent new dunders. +- `trailing_underscore_` to dodge a keyword/builtin clash (`class_`, `type_`). +- First arg `self` (instance methods), `cls` (class methods). +- Avoid single-char names `l`, `O`, `I` (look like 1/0); do not shadow builtins (`list`, `id`, `type`, `dict`). + +**Layout / formatting:** +- 4-space indent, never tabs. +- Line length: PEP 8 = 79 (72 for docstrings/comments); the tooling default (Ruff/Black) = 88 — pick one project-wide; the rulebook recommends 88 to match the formatter, and says a formatter owns this so humans should not hand-wrap. +- Two blank lines around top-level defs/classes; one blank line between methods. +- One import per line; group stdlib → third-party → local with a blank line between groups; imports at top after the module docstring. +- Spaces around binary operators and after commas; none inside brackets, before `:`/`,`, or around `=` in keyword args/defaults. +- Pick one string quote style and keep it; use the other only to avoid escaping. +- No trailing whitespace; UTF-8; newline at end of file. +- Break before binary operators (Knuth style). + +**Overriding rule:** consistency within a project beats the guide; a formatter enforces this so the model should defer to the project's Ruff/Black config. + +--- + +## Section 2 — Idioms & the Zen + +Sources: [PEP 20 — Zen of Python](https://peps.python.org/pep-0020/), [EAFP/LBYL glossary](https://docs.python.org/3/glossary.html), [Hitchhiker's Guide — Style](https://docs.python-guide.org/writing/style/). + +**Zen principles to encode as rules:** explicit > implicit; simple > complex; flat > nested; sparse > dense; readability counts; errors should never pass silently unless explicitly silenced; in the face of ambiguity refuse to guess; one obvious way to do it; if the implementation is hard to explain it is a bad idea. + +**EAFP over LBYL (show both):** +- EAFP (assume success, wrap in `try/except`) is the preferred Pythonic idiom. +- LBYL (pre-check with `if`) risks TOCTOU race conditions and double work; reserve it for when raising is genuinely costly/ambiguous. +- Use EAFP for attribute/key access; prefer `dict.get()`/`setdefault()`/`collections.defaultdict` over key-existence checks. + +**Core idioms (give bad→good snippets for the starred ones):** +- Truthiness: `if seq:` / `if not seq:`, not `if len(seq) == 0`. * +- Identity vs equality: compare to `None`/`True`/`False` with `is`/`is not`, never `==`. * +- `enumerate()` for index+value; `zip()` for parallel iteration. * +- `with` context managers for resource cleanup, not manual open/close. * +- Comprehensions/generators over `map`/`filter`/accumulator loops when simple. +- Build strings with `''.join(parts)`, never `+=` in a loop. * +- `isinstance(x, T)`, not `type(x) == T`. * +- Never bare `except:`; catch specific exceptions. * +- Never mutable default args; use a `None` sentinel. * (cross-reference Section 14). + +Snippets to include (from research): mutable-default fix, `enumerate` fix, `''.join` fix, bare-except fix, `isinstance`/truthiness fix, `with` + `dict.get` fix. + +--- + +## Section 3 — Typing + +Sources: [PEP 484](https://peps.python.org/pep-0484/), [PEP 585](https://peps.python.org/pep-0585/), [PEP 604](https://peps.python.org/pep-0604/), [PEP 544](https://peps.python.org/pep-0544/), [typing docs](https://docs.python.org/3/library/typing.html). + +**Modern syntax supersedes legacy (each a bad→good):** +- Builtin generics (3.9+): `list[int]`, `dict[str, int]`, `tuple[int, ...]`, `type[C]` — `typing.List/Dict/Set/Tuple/Type` are deprecated. * +- Import ABCs from `collections.abc`, not `typing`: `Sequence`, `Mapping`, `Iterable`, `Iterator`, `Callable`. * +- Unions (3.10+): `X | Y` and `X | None`, not `Union`/`Optional`; works in `isinstance(x, int | str)`. * +- Generics (3.12+, PEP 695): `class Box[T]:` / `def f[T](x: T) -> T:` — no module-level `TypeVar` needed; `type Vector = list[float]` for aliases. Pre-3.12 keep `TypeVar`/`Generic`. + +**Constructs to teach:** +- `Protocol` (PEP 544): structural/duck-typed interfaces matched by shape; prefer over ABCs when callers should not subclass; `@runtime_checkable` allows `isinstance` but checks method presence only. +- `Self` (3.11+) for fluent methods/alt constructors; `Final`/`@final`; `Literal["r","w"]`; `TypedDict` (with `total=False`, `Required`/`NotRequired`); `Callable[[int, str], bool]`; `ParamSpec` to preserve decorator signatures; `@overload`; `Annotated[T, meta]`; `cast(T, x)` sparingly. +- `Any` disables checking (assignable both ways) — prefer `object` (safe top type, narrow before use) when you just mean "anything". * + +**Runtime behavior:** +- Hints are not enforced at runtime; static checkers/IDEs consume them. +- `from __future__ import annotations` stores annotations as strings (lazy) — enables forward refs and new syntax on older Pythons; read via `typing.get_type_hints()`. +- Quote forward references (`def f(x: "Node")`); guard typing-only imports under `if TYPE_CHECKING:` to avoid runtime/circular imports. + +**Policy rule:** annotate all public function signatures and public class attributes; type-check in CI (Section 10). Adopt gradually on legacy code. + +Snippets (from research): List/Dict→list/dict; Optional/Union→`|`; typing→collections.abc; TypeVar/Generic→`class Box[T]`; `Any`→`object`. + +--- + +## Section 4 — Errors & exceptions + +Source: [Built-in Exceptions](https://docs.python.org/3/library/exceptions.html). + +**Raising:** +- Derive custom exceptions from `Exception`, never `BaseException` (reserved for `KeyboardInterrupt`/`SystemExit`). * +- Define one package-wide base exception; have all app exceptions inherit it so callers can catch the family. +- Pass a meaningful message: `raise ValueError(f"port must be 1-65535, got {port}")`. +- Reuse builtins where they fit: `ValueError` (bad value), `TypeError` (wrong type/arity), `KeyError`/`IndexError`, `OSError` family (`FileNotFoundError`, `PermissionError`), `RuntimeError`, `NotImplementedError` (abstract method — distinct from the `NotImplemented` value), `StopIteration` (do not leak from generators, PEP 479). + +**Catching:** +- Catch the most specific type; never bare `except:` (swallows `KeyboardInterrupt`/`SystemExit`) and never `except BaseException`; use `except Exception` only when you must be broad. * +- Order `except` clauses specific → general. +- Never silently `pass` a caught exception — log or re-raise (the Zen: errors should never pass silently). + +**Chaining:** +- `raise NewError(...) from original` sets `__cause__` (always shown). * +- `raise ... from None` suppresses irrelevant internal context. +- Implicit `__context__` is set when raising inside an `except`/`finally`. + +**Cleanup:** +- `finally` for must-run cleanup; `try`'s `else` clause for code that runs only when no exception occurred; prefer context managers over manual `try/finally`. + +**Exception groups (3.11+):** `raise ExceptionGroup("msg", [e1, e2])` and `except*` for aggregated/concurrent failures (e.g. `asyncio.TaskGroup`); plain `except` for single errors. + +Snippets (from research): bare-except→specific+log+raise; lost-cause→`raise ... from e`; LBYL file check→EAFP + `with` + `FileNotFoundError`; `BaseException` custom class→`AppError(Exception)` hierarchy. + +--- + +## Section 5 — Functions, classes & API design + +Sources: [dataclasses](https://docs.python.org/3/library/dataclasses.html), [functools](https://docs.python.org/3/library/functools.html), [enum](https://docs.python.org/3/library/enum.html), [logging](https://docs.python.org/3/library/logging.html). + +**Function API design:** +- Keyword-only options via `*`: `def f(x, *, verbose=False)`. +- Positional-only via `/` where arg names are irrelevant/unstable. +- Avoid the boolean trap — replace opaque `True/False` flags with enums or separate functions. * +- No mutable default args; sensible defaults so common calls stay short; keep return types consistent (return `[]`, not sometimes `None`). +- Small, single-purpose functions. + +**Data modeling — choose the right container:** +- `@dataclass` for data-holding classes (auto `__init__`/`__repr__`/`__eq__`); `frozen=True` for immutable/hashable value objects; `field(default_factory=list)` for mutable defaults; `slots=True` (3.10+) to save memory and block stray attributes; `kw_only=True` for wide/optional-heavy constructors; `field(init=False)` + `__post_init__` for computed fields. +- Selection guide: **dataclass** = records with methods; **NamedTuple** = tiny immutable positional records; **TypedDict** = typed dict shape (JSON/kwargs) with no runtime class; **plain class** = heavy behavior/invariants; **pydantic** = runtime validation/parsing at boundaries (APIs, config). + +**Enums:** replace magic string/int constants with `enum.Enum`; `auto()` when values do not matter; `IntEnum`/`StrEnum` (3.11+) for DB/JSON interop; `Flag`/`IntFlag` for bitwise options. * + +**functools idioms:** +- `@functools.cache` (3.9+) / `@lru_cache(maxsize=...)` to memoize pure functions with hashable args. * +- `@cached_property` for compute-once instance attributes (needs `__dict__`, not with `slots`). +- `functools.partial` over wrapper lambdas; `@singledispatch` over `isinstance` chains; always `@functools.wraps(fn)` on decorator wrappers. + +**General API design:** +- Design for the caller; hard-to-misuse defaults. +- Prefer composition over inheritance; inheritance only for genuine is-a. +- Interfaces: `Protocol` for structural/duck typing without coupling; ABC when you need shared implementation or runtime `isinstance` enforcement. +- Context managers via `@contextlib.contextmanager` or `__enter__`/`__exit__`. +- Return iterators/generators for large/lazy sequences; always define a useful `__repr__`. + +**Logging (not `print`):** +- Use the `logging` module for diagnostics; module-level `logger = logging.getLogger(__name__)`. * +- Library code must not call `basicConfig`/add handlers/set levels — leave that to the application; attach `logging.NullHandler` if needed. +- Lazy `%` formatting: `logger.info("x=%s", x)`, not f-strings; use `logger.exception` inside `except`; correct levels DEBUG/INFO/WARNING/ERROR/CRITICAL. + +Snippets (from research): mutable-default fix; boolean trap→keyword-only enum; `print`→`logger.warning("user %s failed", uid)`; hand-memoization→`@functools.cache`. + +--- + +## Section 6 — Imports + +Source: [Import system / PEP 328 / PEP 420](https://docs.python.org/3/reference/import.html). + +- Prefer absolute imports (`from mypkg.sub import thing`) — robust to moves. +- Within a package use explicit relative imports (`from . import x`, `from .mod import y`, `from ..pkg import z`); the `from … import …` form only — `import .mod` is a SyntaxError. * +- No implicit relative imports (Python 3): a bare `import sibling` always means the top-level `sibling`. * +- Keep `__init__.py` light (it runs on every package import); an empty one makes a normal package. +- Break import cycles by deferring the import inside the function that needs it, or by extracting shared code into a lower module both import. * +- PEP 420 namespace packages: a directory without `__init__.py` becomes an implicit namespace package spanning portions — omit `__init__.py` only when you want that; otherwise include it. +- Use `__all__` to declare a module/package public API and control `from pkg import *`; never `import *` in application code (cite Google guide). + +Snippets (from research): implicit-relative→explicit-relative; `import .models`→`from . import models`; top-level circular import→deferred import inside function. + +--- + +## Section 7 — Docstrings & documentation + +Source: [PEP 257](https://peps.python.org/pep-0257/). + +- A docstring is the first statement of a module/function/class/method; becomes `__doc__`. +- Required for all modules and all public functions/classes/methods (including `__init__`); document packages in the `__init__.py` module docstring. +- Always `"""triple double quotes"""`; `r"""..."""` when the text contains backslashes. +- One-line: fits on one line, closing quotes on the same line, phrased as an imperative ("Return the sum…", not "Returns…"), ending with a period. +- Multi-line: summary line, blank line, body, closing `"""` on its own line. +- Google/NumPy sectioned styles (Args/Returns/Raises) render via Sphinx napoleon; pick one project-wide. +- Enforce with Ruff `D` rules; set `convention` under `[tool.ruff.lint.pydocstyle]` (Section 10). + +--- + +## Section 8 — Project layout & packaging + +Sources: [Packaging tutorial (PyPUG)](https://packaging.python.org/en/latest/tutorials/packaging-projects/), [src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/). + +- `pyproject.toml` at the root is the single config source: `[build-system]` (PEP 517/518), `[project]` metadata (PEP 621), and `[tool.*]` sections. Build with `python -m build`. +- `[build-system].requires` must include the backend; `build-backend` is the object frontends call. Backend choices: hatchling (`"hatchling.build"`), setuptools (`"setuptools.build_meta"`), flit (`"flit_core.buildapi"`), pdm (`"pdm.backend"`), uv (`"uv_build"`). Recommend hatchling as the modern default. +- `[project]` core fields: `name` (unique PyPI distribution name), `version` (may be dynamic), `description`, `readme`, `requires-python` (e.g. `">=3.10"`), `authors`, `license` (SPDX string, e.g. `"MIT"`), `classifiers`, `dependencies`; links under `[project.urls]`. + +**Include this minimal annotated `pyproject.toml` template:** +```toml +[build-system] +requires = ["hatchling"] # build-time deps (must include the backend) +build-backend = "hatchling.build" + +[project] +name = "example_package" # unique PyPI distribution name +version = "0.0.1" # or dynamic via the backend +description = "A small example package" +readme = "README.md" +requires-python = ">=3.10" +authors = [{ name = "Author", email = "a@example.com" }] +license = "MIT" # SPDX expression +classifiers = [ + "Programming Language :: Python :: 3", + "Operating System :: OS Independent", +] +dependencies = [] # runtime deps + +[project.urls] +Homepage = "https://github.com/you/example_package" +Issues = "https://github.com/you/example_package/issues" +``` + +**src-layout — recommend for anything distributed; include this tree:** +``` +project_root/ +├── pyproject.toml +├── README.md +├── LICENSE +├── src/ +│ └── mypkg/ # dir name == import package name +│ ├── __init__.py +│ └── module.py +└── tests/ # not shipped in the package +``` +- Why src: Python puts the cwd first on `sys.path`, so a flat layout imports the in-tree copy without installing and masks packaging bugs (files missing from the built distribution). `src/` is not on `sys.path`, forcing an install (`pip install -e .` for dev) so you test the installed package. Trade-off: an extra install step. + +--- + +## Section 9 — Dependencies & environments + +Sources: [uv projects](https://docs.astral.sh/uv/concepts/projects/), [Poetry](https://python-poetry.org/docs/basic-usage/). + +**General rules (tool-agnostic):** +- Always commit a lockfile for applications; libraries express version ranges and do not depend on a lockfile. +- Work inside a project-isolated virtual environment, never system Python; never commit `.venv` (add to `.gitignore`), treat it as rebuildable from the lockfile. +- Separate runtime deps from dev/test/tooling deps via dependency groups. +- Security: scan dependencies for known vulnerabilities in CI with `pip-audit` (queries the PyPI/OSV advisory data) or uv's audit; keep lockfiles current and update flagged packages. + +**uv (recommend as the modern default):** +- `pyproject.toml` + a committed universal `uv.lock`; never hand-edit the lock. +- `uv add`/`uv remove` edit `pyproject.toml`, update the lock, and sync; `uv sync` makes `.venv` match the lock; `uv lock` re-resolves without touching the env; `uv run` auto-syncs then runs (prefer over manual activation). +- uv manages `.venv` and can pin/download the interpreter (`requires-python`/`.python-version`). +- App vs library: apps rely on the committed lock for reproducibility; libraries define `[build-system]` and use loose ranges. Dev/test deps via `--dev`/`uv add --group`. + +**Poetry (alternative):** +- `poetry.lock` committed; `poetry add`/`install`/`update`. +- Managed per-project virtualenv; run via `poetry run`. +- Constraints: caret `^1.2.3` → `>=1.2.3,<2.0.0`; tilde `~1.2.3` → `>=1.2.3,<1.3.0`. Dependency groups (`[tool.poetry.group.dev.dependencies]`). + +--- + +## Section 10 — Tooling: Ruff, mypy, pre-commit + +Sources: [Ruff](https://docs.astral.sh/ruff/), [mypy](https://mypy.readthedocs.io/en/stable/), [pre-commit](https://pre-commit.com/). + +**Ruff** — one Rust tool replacing Flake8 (+plugins), isort, pydocstyle, pyupgrade, autoflake, and Black. +- `ruff check --fix` (lint + autofix) and `ruff format` (Black-compatible); run both. +- Select rules by prefix: `E`/`W` (pycodestyle), `F` (Pyflakes), `I` (isort), `D` (pydocstyle), `UP` (pyupgrade), `B` (bugbear), `N` (naming), `S` (security/bandit), `SIM`, `C4`, `PTH`. +- Set `target-version` so `UP` rules fire correctly; `line-length` default 88. +- Include this minimal config: +```toml +[tool.ruff] +line-length = 88 +target-version = "py310" + +[tool.ruff.lint] +select = ["E", "F", "I", "B", "UP", "D"] + +[tool.ruff.lint.pydocstyle] +convention = "google" # or "numpy" + +[tool.ruff.format] +quote-style = "double" +``` + +**mypy** — static type checker; gradual typing; run as a CI gate (non-zero exit fails build); `dmypy` for fast local runs. +- Turn on `strict = true` (bundles `disallow_untyped_defs`, `check_untyped_defs`, `no_implicit_optional`, `warn_return_any`, `warn_unused_ignores`, …); adopt incrementally per-module for legacy code. +- Install `types-*` stub packages for untyped third-party libs; use per-module overrides for what you cannot type yet. +- Include this minimal config: +```toml +[tool.mypy] +python_version = "3.10" +strict = true +warn_unused_ignores = true + +[[tool.mypy.overrides]] +module = ["legacy.*", "thirdparty.*"] +ignore_missing_imports = true +disallow_untyped_defs = false +``` + +**pre-commit** — git hooks; `pre-commit install`; run the same config in CI (`pre-commit run --all-files`). Pin each repo `rev`; use official mirrors. +- Include this minimal `.pre-commit-config.yaml`: +```yaml +repos: + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.6.0 + hooks: + - id: trailing-whitespace + - id: end-of-file-fixer + - id: check-yaml + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.6.0 + hooks: + - id: ruff + args: [--fix] + - id: ruff-format + - repo: https://github.com/pre-commit/mirrors-mypy + rev: v1.11.0 + hooks: + - id: mypy +``` + +--- + +## Section 11 — Testing + +Source: [pytest](https://docs.pytest.org/en/stable/). + +**Structure:** files `test_*.py`; functions `test_*`; classes `Test*` (no `__init__`). Put tests in `tests/` outside the package (with src-layout, to test the installed copy). Shared fixtures in `conftest.py` (auto-imported for its dir subtree). Prefer unique test filenames + `importmode=importlib`. + +**Assertions:** plain `assert expr` (pytest rewrites for rich output); `pytest.raises(Err, match=...)` for exceptions; `pytest.approx` for floats. + +**Fixtures:** `@pytest.fixture`, requested by argument name (dependency injection); scopes `function`(default)/`class`/`module`/`package`/`session`; prefer `yield` (setup before, teardown after, reverse order); `autouse=True` sparingly. + +**Parametrize:** `@pytest.mark.parametrize("arg", [...])` for table-driven tests; `pytest.param(..., marks=, id=)` for per-case marks/ids. + +**Coverage:** `pytest-cov`, `--cov=pkg --cov-report=term-missing`, enforce `--cov-fail-under=90`. + +**Multi-version:** `tox`/`nox` across `py310,py311,py312` in isolated envs. + +**Best practices:** Arrange–Act–Assert; one behavior per test; no branching/loops/logic in tests; isolate side effects with `tmp_path` and `monkeypatch`; keep tests deterministic and independent; register and gate slow tests (`@pytest.mark.slow`, `-m "not slow"`). + +Include these four snippets (from research): a `yield` fixture, a parametrized test, `pytest.raises`+`pytest.approx`, `tmp_path`+`monkeypatch`. + +--- + +## Section 12 — Concurrency + +Sources: [asyncio](https://docs.python.org/3/library/asyncio.html), [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html), [multiprocessing](https://docs.python.org/3/library/multiprocessing.html), [PEP 703](https://peps.python.org/pep-0703/). + +**Choose the model by workload (the top rule):** +- I/O-bound (network, disk, subprocess) → asyncio or threads; the GIL releases during blocking I/O so waits overlap. +- CPU-bound → processes for true parallelism; threads do not help because the GIL serializes bytecode. +- Decision rule: many concurrent waits → asyncio; blocking-I/O libraries you cannot rewrite → `ThreadPoolExecutor`; number-crunching → `ProcessPoolExecutor`. + +**asyncio:** +- `async def`/`await`; `asyncio.run(main())` is the single entrypoint — do not hand-manage loops. +- Concurrency via `await asyncio.gather(*coros)` or `asyncio.TaskGroup`; awaiting one-by-one is sequential. +- One running loop per thread; never `asyncio.run()` inside a running loop. +- Never do CPU-bound work or call blocking sync functions in a coroutine — it stalls the loop; offload via `await asyncio.to_thread(fn, ...)` or `loop.run_in_executor(pool, fn)`. * + +**concurrent.futures:** `ThreadPoolExecutor` (I/O) and `ProcessPoolExecutor` (CPU) share the `Executor` API (swap by changing one class); `submit` → `Future`, `.result()` re-raises worker errors; `executor.map` preserves order; `as_completed()` yields as they finish; use as a context manager. + +**multiprocessing:** true multi-core; args/returns are pickled and copied (keep payloads small; lambdas/closures are not picklable); guard spawning code with `if __name__ == '__main__':` (required under `spawn`, the macOS/Windows default); `fork` (fast, POSIX, unsafe with threads) vs `spawn` (clean, slower) via `get_context()`; share state via `Value`/`Array`/`shared_memory`/`Queue`/`Manager`, not plain globals. + +**GIL / PEP 703:** the GIL is a mutex letting one thread run bytecode at a time; released during I/O and by many C extensions (NumPy). PEP 703 free-threaded build (3.13+, `--disable-gil`) is experimental, opt-in, and may cost single-thread speed — do not assume it in production. + +Snippet (from research): blocking `requests.get` in a coroutine → `await asyncio.to_thread(...)`. + +--- + +## Section 13 — Performance + +Source: [Programming FAQ](https://docs.python.org/3/faq/programming.html). + +- Profile before optimizing: `cProfile` for hotspots, `timeit` for micro-benchmarks — never guess. * +- Cache repeated global/attribute lookups in a local inside hot loops (locals are fastest). +- Prefer generators/comprehensions over building lists you iterate once. +- Build strings with `''.join(parts)`, never `+=` in a loop (quadratic copying) — cross-reference Section 2. +- Lean on builtins and C-implemented stdlib (`sum`, `map`, `itertools`, `collections`) over hand-rolled loops. +- Reach for `numpy`/vectorization for numeric arrays instead of Python-level loops (note as advice, not a hard rule). + +--- + +## Section 14 — Gotchas & anti-patterns + +Source: [Programming FAQ](https://docs.python.org/3/faq/programming.html). Each is a bad→good. + +- **Mutable default argument** — evaluated once and shared across calls. Fix: `None` sentinel, create inside. * +- **Late-binding closures** — closures capture the variable, not its value; lambdas in a loop all see the final value. Fix: `lambda i=i: i` default-arg binding. * +- **Identity vs equality** — small ints/interned strings may share identity; compare with `==`, reserve `is` for `None`/`True`/`False`. * +- **Aliasing** — assignment copies references, not objects; use `copy.copy` (shallow) / `copy.deepcopy` (nested) to avoid a mutation on one name changing the other. * +- **Mutating while iterating** — do not add/remove items in a list while iterating it; iterate over `list(x)` or build a new list. * + +Snippets (from research): mutable-default fix, late-binding-closure fix — plus short fixes for the other three. + +Restate at the close: the non-negotiable rules from the top of the file, verbatim. + +--- + +## Coverage check against the brief + +Confirm the rulebook covers every brief category: style/naming/idioms/anti-patterns (§1,2,14) · typing (§3) · errors (§4) · API design (§5) · project layout & packaging (§8) · dependencies (§9) · imports (§6) · documentation (§7) · testing (§11) · tooling (§10) · performance (§13) · concurrency (§12). Confirm the brief's named gaps are filled: `pyproject.toml` template (§8), Ruff/mypy configs (§10), src-layout tree (§8), dataclasses/attrs & functools idioms (§5), logging (§5), security/`pip-audit` (§9). diff --git a/python-rulebook-research-brief.md b/python-rulebook-research-brief.md new file mode 100644 index 0000000..0451712 --- /dev/null +++ b/python-rulebook-research-brief.md @@ -0,0 +1,46 @@ +# Research Brief + +Assemble authoritative, load-bearing reference material for an AI that writes and maintains idiomatic, well-structured, well-tooled Python code. + +## 1. Style, naming, idioms & anti-patterns +- [PEP 8 – Style Guide for Python Code](https://peps.python.org/pep-0008/) — Canonical style: 79-char lines (72 for docstrings), 4-space indent; `snake_case` for functions/variables/modules, `PascalCase`/CapWords for classes and exceptions, `UPPER_CASE` for constants; leading underscore for non-public names, trailing underscore to dodge keyword clashes; avoid `l`/`O`/`I` single-char names. Overriding rule: consistency within a project wins. (HIGH) +- [PEP 20 – The Zen of Python](https://peps.python.org/pep-0020/) — Design aphorisms (`import this`): explicit > implicit, simple > complex, flat > nested, readability counts, one obvious way. "Errors should never pass silently" — a direct mandate against swallowed exceptions. (HIGH) +- [Python Glossary – EAFP vs LBYL](https://docs.python.org/3/glossary.html) — EAFP (try/except, assume success) is the preferred Pythonic idiom; LBYL (if-check first) is C-like and risks race conditions. (HIGH) +- [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html) — Stricter corporate layer: 80-char lines, explicit module imports, no wildcard `import *`, flags mutable default args, broad `except:`, and global state; docstrings required for all public APIs. (MED) +- [The Hitchhiker's Guide to Python – Code Style](https://docs.python-guide.org/writing/style/) — Idioms: truthiness checks, `enumerate()`, `with` context managers, comprehensions/generators, `''.join()`, `isinstance()` over `type()`. (MED) + +## 2. Typing, errors & API design +- [PEP 484 – Type Hints](https://peps.python.org/pep-0484/) — Foundation: annotations, `Optional`/`Union`, `TypeVar`, `Callable`; hints are not enforced at runtime (checked by mypy). (HIGH) +- [PEP 585 – Generics in Standard Collections](https://peps.python.org/pep-0585/) — Python 3.9+: use `list[int]`, `dict[str,int]` directly; `typing.List`/`Dict` are deprecated. (HIGH) +- [PEP 604 – Union types as X | Y](https://peps.python.org/pep-0604/) — Python 3.10+: prefer `int | str` and `X | None` over `Union`/`Optional`; works in isinstance. (HIGH) +- [PEP 544 – Protocols (structural subtyping)](https://peps.python.org/pep-0544/) — `typing.Protocol` for duck-typed interfaces without inheritance; preferred for loose coupling at boundaries. (HIGH) +- [typing — Standard Library docs](https://docs.python.org/3/library/typing.html) — Modern reference: `|` unions, builtin generics, PEP 695 `class C[T]` syntax (3.12+), `ParamSpec`, `Self`, `Final`, `Literal`, `TypedDict`. (HIGH) +- [Built-in Exceptions (Python docs)](https://docs.python.org/3/library/exceptions.html) — Derive custom exceptions from `Exception` (not `BaseException`); catch specific types; avoid bare `except:`; use `raise ... from ...` for chaining; group errors under a package base class. (MED) + +## 3. Project layout, packaging, dependencies & imports +- [Packaging Python Projects — PyPUG](https://packaging.python.org/en/latest/tutorials/packaging-projects/) — Single `pyproject.toml`: `[build-system]` (PEP 517/518), `[project]` metadata (PEP 621), `[tool.*]`; pluggable backends (hatchling/setuptools/flit/pdm); build with `python -m build`. (HIGH) +- [src vs flat layout — PyPUG](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/) — src-layout forces an install before import, guaranteeing you test the installed package; recommended for anything distributed. (HIGH) +- [uv — Project structure](https://docs.astral.sh/uv/concepts/projects/) — pyproject.toml + committed cross-platform `uv.lock`; `uv add/sync`; manages `.venv` and interpreter version; app vs library distinction. (HIGH) +- [Poetry — Dependency management](https://python-poetry.org/docs/basic-usage/) — `poetry.lock` for deterministic resolution, managed virtualenv, caret/tilde constraints, dependency groups. (MED) +- [Import system / PEP 328 (Python docs)](https://docs.python.org/3/reference/import.html) — Prefer absolute imports; explicit relative imports within packages; keep `__init__.py` light; break cycles by deferring imports or restructuring; PEP 420 namespace packages. (MED) + +## 4. Tooling, testing & documentation +- [Ruff](https://docs.astral.sh/ruff/) — Fast Rust linter+formatter replacing Flake8/isort/pydocstyle/pyupgrade/Black; config in `[tool.ruff]`; `ruff check --fix` + `ruff format`. (HIGH) +- [mypy](https://mypy.readthedocs.io/en/stable/) — Reference static checker; `[tool.mypy]` with `strict=true`, per-module overrides, `types-*` stubs; run as CI gate; adopt incrementally. (HIGH) +- [pytest](https://docs.pytest.org/en/stable/) — Plain `assert`, auto-discovery, fixtures (scopes, yield teardown), `@parametrize`, `conftest.py`, `pytest-cov` thresholds; combine with tox/nox for multi-version. (HIGH) +- [pre-commit](https://pre-commit.com/) — Git hooks in `.pre-commit-config.yaml` (ruff, mypy mirrors, whitespace/EOF/yaml checks); `pre-commit install`; run same config in CI. (HIGH) +- [PEP 257 – Docstring Conventions](https://peps.python.org/pep-0257/) — Triple-quoted, imperative one-line summary; Google/NumPy styles via Sphinx napoleon; enforce with Ruff `D` rules. (MED) + +## 5. Performance, concurrency & gotchas +- [asyncio — Python docs](https://docs.python.org/3/library/asyncio.html) — Single-threaded cooperative concurrency for I/O-bound work; no CPU speedup; offload blocking work via `run_in_executor`/`to_thread`; `gather` for concurrency. (HIGH) +- [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html) — ThreadPool for I/O-bound (GIL released on I/O), ProcessPool for CPU-bound (true parallelism, pickling cost); unified swappable API. (HIGH) +- [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) — Real CPU parallelism; data via pickling/shared memory; mind spawn vs fork; guard `if __name__ == '__main__'`. (HIGH) +- [PEP 703 – Optional GIL](https://peps.python.org/pep-0703/) — Free-threaded build (experimental in 3.13) enables true parallel bytecode; opt-in separate build. (HIGH) +- [Programming FAQ (Python docs)](https://docs.python.org/3/faq/programming.html) — Gotchas: mutable default args, late-binding closures; perf idioms: cache lookups in locals, generators over accumulation, `join` over `+=`; profile with cProfile/timeit. (MED) + +## Synthesis +The material converges cleanly on a canonical spine: **PEPs as the authority** (8 style, 20 philosophy, 257 docstrings, 484/585/604/544/695 typing, 517/518/621 packaging, 703 GIL), the **CPython standard-library docs** for runtime semantics (imports, exceptions, asyncio, concurrency, gotchas), and a **modern tooling consensus** around Ruff + mypy + pytest + pre-commit + uv/Poetry with `pyproject.toml` and src-layout. A clear generational shift is documented and should be encoded as rules: modern typing syntax (`list[int]`, `X | None`, Protocols, PEP 695 generics) supersedes legacy `typing` imports; Ruff consolidates the old Flake8/isort/Black stack; uv's lockfile-driven workflow is the newest packaging direction. Recurring cross-source themes worth elevating to top-tier rules: EAFP over LBYL, explicit narrow exception handling (never bare `except:` / silent failures), the mutable-default-argument and late-binding-closure traps, and choosing concurrency model by workload (asyncio/threads for I/O, processes for CPU). + +**Open gaps** the AI should fill from primary sources when drafting: concrete `pyproject.toml` and Ruff/mypy config templates; a worked src-layout directory tree; dataclasses/attrs and `functools` idioms; logging best practices; and security/dependency-audit guidance (e.g., `pip-audit`), none of which surfaced strongly here. Note also that the foragers lacked live WebSearch and drew on stable primary-source knowledge — URLs are canonical and should be verified/fetched directly when building the rulebook. + +All sources above are official (python.org/PEPs/PyPUG) or widely respected (Google style guide, Hitchhiker's Guide, Ruff/mypy/pytest/uv/Poetry docs). This packet is raw material for the rulebook. diff --git a/rulebooks/python-rulebook.md b/rulebooks/python-rulebook.md deleted file mode 100644 index 6e33a06..0000000 --- a/rulebooks/python-rulebook.md +++ /dev/null @@ -1,776 +0,0 @@ ---- -description: Reference for a model writing or maintaining Python - project layout, packaging, naming, idioms, typing, errors, API design, imports, dependencies, documentation, testing, tooling, performance, concurrency, and the anti-patterns to avoid ---- - - - -# Rulebook: Writing Python - -This file equips a model to write, extend, and maintain Python. Read the preamble and the closing rules first; they bind every edit. Sections run from most to least frequently needed and are consulted one at a time, so the length of this file is never the number of rules you hold at once. Terms used throughout: "the package" is one importable directory with an `__init__.py` or an installed distribution; "the project" is the repository plus its `pyproject.toml`; "the tree" is the repository checkout; "a distribution" is the wheel or sdist you publish to an index. Target current stable CPython, meaning 3.12 or 3.13, and state a lower floor only when the code must run on it. Formatting is not a matter of taste in this file: a formatter owns every whitespace decision, so no rule below concerns spacing, wrapping, or quotes. - -![The Python Workshop](images/python-rulebook.png) - -## Non-negotiable rules - -Follow these on every change; they are restated at the end. - -- Never use a mutable default argument (section 3); `def f(x, acc=[])` shares one list across every call, so default to `None` and build the value inside the body. -- Catch the narrowest exception that can occur and never write a bare `except:` or a bare `except Exception:` that swallows and continues (section 5); a blanket catch hides the bug you will be paged for. -- Type every public function's parameters and return, and run a type checker in CI (sections 4, 12); an unchecked annotation is a comment that lies as soon as the code drifts. -- Pin the environment with a lockfile and never install into the system interpreter (section 8); an unlocked or global install makes "works on my machine" the only truth anyone has. -- Format with the project's formatter and pass the linter before every commit (sections 2, 12); both questions are settled by the tool, not by argument in review. -- Verify a package is the intended, existing project on PyPI before adding it to `pyproject.toml` (section 9); a typo-squatted or hallucinated name installs and runs arbitrary code exactly like the real one. -- Manage every external resource with a `with` block, never a bare `open` or `acquire` you must remember to close (section 3); an early `return` or an exception leaks the handle otherwise. - -## 1. Orientation - -A package is one importable directory. A project is the tree plus its `pyproject.toml`, which is the single source of truth for metadata, dependencies, build backend, and tool configuration. Use the src layout: the importable code lives under `src/`, so the test suite runs against the installed package and never accidentally imports from the working directory. - -Canonical single package: - -``` -myproject/ - pyproject.toml # metadata, dependencies, build backend, tool config - uv.lock # committed, the exact resolved environment - README.md - LICENSE - src/ - mypkg/ - __init__.py # package version and the curated public API - __main__.py # enables `python -m mypkg`; keep logic elsewhere - py.typed # marker: this package ships inline type information - core.py # one domain concept per module - _internal.py # leading underscore marks a private module - cli.py # argument parsing only; import the logic - subsystem/ - __init__.py - parser.py - tests/ - conftest.py # shared fixtures, discovered automatically - test_core.py # one test module per source module - docs/ -``` - -The src layout is not optional decoration: without it, `import mypkg` resolves to the source tree during tests whether or not the package installs correctly, so a missing entry in `pyproject.toml` or a broken `__init__.py` passes locally and breaks for every user. Under src layout the import can only resolve to the installed distribution, so the test suite exercises what ships. - -Directory map (only what you edit often): - -| Path | Holds | -|---|---| -| `pyproject.toml` | `[project]` metadata and dependencies, `[build-system]`, `[tool.*]` config, entry points | -| `uv.lock` (or equivalent) | the fully resolved, hash-pinned environment; committed | -| `src//__init__.py` | the version, the curated public names, and `__all__` | -| `src//__main__.py` | the `python -m ` entry; delegates immediately to a function | -| `src//py.typed` | an empty marker file so consumers trust your inline annotations | -| `src//.py` | one domain concept and its closely bound helpers | -| `tests/` | pytest suite against the installed package, one module per source module | -| `tests/conftest.py` | fixtures shared across the suite, auto-discovered, never imported by hand | -| `docs/` | narrative documentation, kept out of the wheel | - -Keep `__init__.py` thin: it declares the version and re-exports the public API, and holds no logic. Keep executable scripts out of package import paths; a module that runs work at import time cannot be imported for testing without side effects. - -## 2. Formatting and naming - -Formatting is settled by the tool, so no rule here concerns spacing. Naming follows PEP 8, which lets a reader infer the kind of a name from its shape. - -- Run the formatter (`ruff format`, equivalently Black) and let it own line length, wrapping, string quotes, trailing commas, and blank lines. Do not hand-format. -- Set the line length once in `pyproject.toml` and never override it per file with `# fmt` directives except around data that is genuinely more readable unwrapped. -- Sort and group imports with the tool (`ruff check --select I` or isort): standard library first, then third-party, then first-party, each block separated by a blank line. -- Write names in the case its kind demands; the formatter does not rename, so this is on you. -- Do not put a formatting-only reflow in the same commit as a behavior change; a reviewer cannot see the real diff through the noise. - -Casing, per item kind (PEP 8): - -| Item kind | Convention | Example | -|---|---|---| -| Packages, modules | short `lowercase`, underscores only if they aid readability | `httpx`, `json_stream` | -| Classes, exceptions, type variables, type aliases | `CapWords` | `HttpClient`, `TimeoutError`, `UserId` | -| Functions, methods, variables, attributes, parameters | `snake_case` | `read_config`, `retry_count` | -| Constants (module level) | `SCREAMING_SNAKE_CASE` | `MAX_RETRIES`, `DEFAULT_TIMEOUT` | -| Type variables | short `CapWords`, suffix `_co`/`_contra` for variance | `T`, `KT`, `VT_co` | -| "Internal use" name | single leading underscore | `_cache`, `_parse_line` | -| Name-mangled class-private | two leading underscores, no trailing | `__slots_impl` | -| Dunder (reserved) | two leading and trailing underscores; never invent new ones | `__init__`, `__all__` | - -- Avoid single-character names `l`, `O`, and `I`; they are indistinguishable from `1` and `0` in many fonts. -- Do not shadow a builtin (`list`, `dict`, `id`, `type`, `input`, `str`); the linter flags it, and the shadow bites the next line that needed the builtin. -- Name a boolean or a predicate for its truth (`is_valid`, `has_next`, `should_retry`), not for the thing it checks. -- Name a collection in the plural (`users`), a single item in the singular (`user`), so a loop reads `for user in users`. -- Do not encode the type in the name; `user_list` becomes wrong the moment it is a tuple, and the annotation already carries the type. - -Detect in existing code: - -- a function, method, or variable not in `snake_case`, or a class not in `CapWords` - the linter's naming rules flag most. -- a module-level constant in lower case, or a "constant" that is reassigned - either the case or the intent is wrong. -- a name shadowing a builtin (`id`, `list`, `type`) - the builtin is now unreachable in that scope. -- a single leading underscore on a name that is imported across packages - the underscore says private, the import says otherwise. - -## 3. Idioms and gotchas - -Write code that reads as native Python: the Zen (`import this`) asks for one obvious way, flat over nested, explicit over implicit. Most non-idiomatic Python is a C or Java habit transliterated. The gotchas below are language sharp edges that pass review and fail in production. - -Sharp edges that must never ship: - -- Never bind a mutable default: `def f(items=[])` or `def f(cfg={})` evaluates the default once at definition time and shares that one object across every call. Default to `None` and create the value in the body: `def f(items=None): items = [] if items is None else items`. -- Never capture a loop variable in a closure and expect its per-iteration value: `[lambda: i for i in range(3)]` yields three functions that all return `2`, because they close over the variable, not its value. Bind it as a default (`lambda i=i: i`) or use a factory. -- Never use a mutable class attribute as if it were per-instance: `class C: items = []` shares one list across all instances. Assign instance state in `__init__`. -- Never compare with `is` for value equality: `is` tests identity, and `x == 1000 is True` only by the accident of small-int caching. Use `==` for values; reserve `is` for `None`, `True`, `False`, and sentinels. -- Never mutate a list or dict while iterating it; iterate a copy (`for x in list(xs):`) or build a new collection. -- Never rely on `==` for floats: use `math.isclose`, and use `decimal.Decimal` for money. -- Never write `except Exception as e: pass` (see section 5); a swallowed exception is a bug you cannot find later. -- Never leave a resource unmanaged: use `with open(path) as f:` and `with lock:`, never a bare `open` or `acquire`. - -Idioms that make code Pythonic: - -- Iterate directly (`for item in items:`), not by index; when you need the index use `enumerate`, and to walk two sequences use `zip`. -- Prefer EAFP (try the operation, catch the failure) to LBYL (check first, then act) when the check would race or duplicate the operation: `try: return d[k] except KeyError: ...` over `if k in d: return d[k]`. -- Use a comprehension for a pure transform or filter that fits one readable line; drop to a `for` loop when the body has side effects, needs a `break`, or the comprehension would nest more than one `for` and an `if`. -- Use a generator expression, not a list, when you only iterate once: `sum(x*x for x in xs)` allocates nothing. -- Unpack instead of indexing: `first, *rest = seq`, `for key, value in d.items():`, `a, b = b, a`. -- Reach for the truthiness of empty containers: `if not items:` not `if len(items) == 0:`. -- Use `dict.get(k, default)`, `dict.setdefault`, `collections.defaultdict`, and `collections.Counter` instead of `if k in d` ladders. -- Use `pathlib.Path` for filesystem paths, not `os.path` string surgery; `path / "sub" / "file.txt"` reads and composes. -- Use an f-string for formatting, never `%` or `str.__add__` chains; use `!r` for debug output and `=` for quick `f"{x=}"` dumps. -- Chain comparisons: `if 0 <= i < n:` not `if i >= 0 and i < n:`. -- Use `enum.Enum` (or `StrEnum`/`IntEnum`) for a closed set of named constants, never bare module-level strings or magic numbers. -- Return early to keep the happy path unindented; a guard clause that `raise`s or `return`s beats a deeply nested `if`. -- Use a context manager (`contextlib.contextmanager`, or a class with `__enter__`/`__exit__`) for any setup/teardown pair, and `contextlib.suppress(FileNotFoundError)` for a deliberately ignored exception. -- Prefer `functools.cached_property` for a lazily computed attribute and `functools.lru_cache`/`cache` for a pure function, over hand-rolled caching. - -Corrections: - -- `def add(x, acc=[])` -> `def add(x, acc=None): acc = [] if acc is None else acc` - the shared default accumulates across calls. -- `for i in range(len(xs)): x = xs[i]` -> `for i, x in enumerate(xs):` - index arithmetic is where off-by-one lives. -- `if len(items) == 0:` -> `if not items:` - empty containers are already falsy. -- `if x == None:` -> `if x is None:` - `None` is a singleton; identity is the correct and faster test. -- `open(p).read()` -> `with open(p) as f: f.read()` - the bare form leaks the descriptor until GC. -- `d[k] if k in d else default` -> `d.get(k, default)` - one lookup instead of two, and no race. -- `result = []` then a `for` with `result.append(...)` for a pure map -> a comprehension - clearer and faster. -- `"Hello " + name + "!"` -> `f"Hello {name}!"` - f-strings are the one obvious way. -- `os.path.join(a, b)` -> `Path(a) / b` - path objects compose and carry methods. -- `except Exception: pass` -> catch the specific type, or `contextlib.suppress(ThatError)` - name what you ignore. - -## 4. Typing - -Type hints are checked prose: a checker keeps them honest, so a public signature can be trusted instead of read. Annotate the boundary densely and let inference cover local bodies. Target the modern syntax; the old `typing` aliases are legacy. - -- Annotate every parameter and return type of every public function and method, and every public attribute; a return of `None` is written `-> None`, not omitted. -- Let local variables infer; annotate a local only when the checker cannot (an empty container, `x: list[int] = []`). -- Use built-in generics: `list[int]`, `dict[str, int]`, `tuple[int, ...]`, not `typing.List`, `typing.Dict` (deprecated since 3.9, PEP 585). -- Write unions as `X | Y` and optionals as `X | None`, not `typing.Union` or `typing.Optional` (PEP 604). -- Ship a `py.typed` marker in any package whose annotations consumers should trust (PEP 561); without it, downstream checkers ignore your types. -- Type a heterogeneous fixed-shape record as a `@dataclass`, a `NamedTuple`, or a `TypedDict`, never a bare `dict[str, Any]` whose keys are undiscoverable. -- Use `collections.abc.Sequence`, `Iterable`, `Mapping`, and `Callable` for parameters (accept the widest thing that works), and concrete `list`/`dict` for return types (promise the narrowest useful thing). -- Reserve `Any` for a genuine boundary you cannot type; prefer `object` when you accept anything but will narrow before use, since `object` forces the narrowing and `Any` disables all checking. -- Narrow `X | None` with an explicit `if x is None:` guard rather than asserting or ignoring; an `assert x is not None` is a runtime cost and a lie if it can fail. -- Use `typing.Protocol` for structural typing ("anything with a `.read()`") instead of forcing a shared base class or an ABC. -- Use `typing.Literal` for a fixed set of string or int values, and `enum.Enum` when the set also needs runtime identity. -- Use `typing.Final` for a constant that must not be reassigned and `typing.ClassVar` for a class attribute that is not per-instance. -- Use the PEP 695 syntax on 3.12+ for generics and aliases: `def first[T](xs: list[T]) -> T` and `type Vector = list[float]`; fall back to explicit `TypeVar` only for a lower floor. -- Add `from __future__ import annotations` at the top of a module that needs forward references or newer syntax on an older runtime; it makes all annotations lazy strings and removes most quoting. -- Type `*args` and `**kwargs` by their element type (`*args: int`, `**kwargs: str`), or use `typing.ParamSpec` when forwarding a signature through a decorator. -- Prefer `@typing.overload` to a union return that forces every caller to narrow, when the return type is a function of an argument's type. - -Choose the container annotation by direction: - -| Situation | Parameter | Return | -|---|---|---| -| Read a sequence | `Sequence[T]` | `list[T]` | -| Read a mapping | `Mapping[K, V]` | `dict[K, V]` | -| Accept any iterable, consume once | `Iterable[T]` | `Iterator[T]` | -| Accept a callback | `Callable[[int], str]` | not applicable | -| Fixed-shape record | a `@dataclass` or `TypedDict` | the same type | -| Anything, then narrow | `object` | not applicable | -| Genuinely dynamic boundary | `Any` (last resort) | `Any` (last resort) | - -Detect in existing code: - -- a public `def` with no return annotation, or parameters with no types - the boundary is unchecked. -- `typing.List`, `typing.Dict`, `typing.Optional`, `typing.Union` - legacy spellings; use the built-in and `|` forms. -- `Any` on an internal function where a concrete type is known - it silently disables checking for everything downstream. -- `dict[str, Any]` used as a record with fixed known keys - a `TypedDict` or dataclass makes the keys discoverable. -- a package with inline types but no `py.typed` - consumers' checkers cannot see any of it. - -Corrections: - -- `def f(x) -> None` with untyped `x` -> `def f(x: int) -> None` - the parameter is half the contract. -- `def g() ` with no annotation, returns nothing -> `def g() -> None` - an omitted return type is unchecked, not inferred as `None` by callers. -- `x: Optional[str]` -> `x: str | None` - PEP 604 spelling, no import. -- `items: List[Dict[str, int]]` -> `items: list[dict[str, int]]` - built-in generics since 3.9. -- `def first(xs)` returning `xs[0]` -> `def first[T](xs: Sequence[T]) -> T` - a type variable keeps the input and output linked. -- `assert user is not None` before use -> `if user is None: raise ...` then use - the guard is honest under `python -O`, the assert is not. - -## 5. Errors and exceptions - -An exception is Python's one mechanism for expected failure and for a bug alike; the discipline is to raise the specific one, catch only what you can handle, and never let a blanket catch turn a crash into silent wrong behavior. - -- Raise the most specific built-in exception that fits (`ValueError`, `TypeError`, `KeyError`, `FileNotFoundError`, `TimeoutError`), and define your own only when a caller needs to distinguish it. -- Derive every custom exception from `Exception` (never `BaseException`, which also catches `KeyboardInterrupt` and `SystemExit`), and give a library one base exception others inherit from, so a caller can catch the whole family with one `except`. -- Catch the narrowest type that can actually be raised at that point, and let everything else propagate; the caller that cannot handle an error should never see it swallowed. -- Never write a bare `except:` (it catches `SystemExit` and `KeyboardInterrupt` too) and never write `except Exception: pass`; if you truly mean to ignore one specific error, use `contextlib.suppress(ThatError)` so the intent is in the code. -- Preserve the cause: re-raise with `raise NewError(...) from err` to chain, or bare `raise` to re-raise the current exception unchanged; never `raise err` (it resets the traceback) and never swallow the original when wrapping. -- Do not use exceptions for ordinary control flow across module boundaries; a `StopIteration` leaking out of a generator or an exception used as a `goto` is a design smell (EAFP inside one function is fine). -- Validate at the boundary and raise there, so the core operates on values that cannot be invalid; do not scatter defensive `isinstance` checks through the internals. -- Put cleanup in a `finally` block or a context manager, never duplicated on the success and failure paths. -- Write the exception message as a specific, lowercase statement of what was wrong including the offending value (`f"port must be 1-65535, got {port}"`), not a generic "invalid input". -- Do not log-and-raise the same error at every layer; the layer that handles it logs it, every other layer just propagates. Use `logger.exception(...)` inside the handling `except` to capture the traceback once. -- Return a value for an expected "not found" only when absence is normal and the type says so (`X | None`, and the caller must handle `None`); raise when the caller asked for something that should exist. -- Use `else` on a `try` for the code that runs only if no exception was raised, keeping the `try` body to the single operation that can fail. -- Group and handle multiple concurrent failures with `ExceptionGroup` and `except*` (3.11+), which is what `asyncio.TaskGroup` raises. - -Reach for the narrowest construct: - -| Construct | Use for | -|---|---| -| a specific built-in `raise` | a violated precondition with a matching standard type | -| a custom exception subclass | a failure a caller must distinguish from others | -| `X \| None` return | an absence that is a normal, expected outcome | -| `assert` | an internal invariant that is a bug if false; never for validating input, since `-O` strips it | -| `contextlib.suppress(E)` | one specific exception you genuinely mean to ignore | -| `raise ... from err` | wrapping a lower-level error while keeping its cause | -| `ExceptionGroup` / `except*` | multiple failures from concurrent tasks | - -Detect in existing code: - -- `except:` or `except Exception:` with a `pass`, or a bare `except` that logs and continues as if nothing failed - the error is being hidden. -- `raise err` inside an `except` block - it resets the traceback; use bare `raise` or `raise New(...) from err`. -- an `except` that catches a broad type then re-checks with `isinstance` to decide what to do - split it into specific `except` clauses. -- `assert` used to validate function arguments or external input - stripped under `-O`, so the check silently vanishes in production. -- a custom exception inheriting from `BaseException`, or from nothing sensible - it escapes normal `except Exception` handling. - -Corrections: - -- `except Exception: pass` -> `except FileNotFoundError: return default` (or `contextlib.suppress`) - name the one error you handle. -- `raise ValueError(err)` in a handler -> `raise ValueError("...") from err` - chains the cause and keeps the traceback. -- `assert 0 < port < 65536` on user input -> `if not 0 < port < 65536: raise ValueError(...)` - asserts vanish under `-O`. -- `class MyError(BaseException)` -> `class MyError(Exception)` - `BaseException` swallows `KeyboardInterrupt`. -- `logger.error(e)` then `raise` at three layers -> `logger.exception(e)` once at the layer that handles it - one traceback, not three. -- `if not os.path.exists(p): raise` then `open(p)` -> just `open(p)` and catch `FileNotFoundError` - the check races with the open. - -## 6. API design and structure - -A module's public surface is a promise. Decide what is public at the moment you write it; widening later is easy, narrowing breaks callers. Prefer plain functions and data over ceremony, and reach for a class only when state and behavior genuinely travel together. - -- Mark everything not part of the public API with a single leading underscore; a name without one is a promise you must keep. -- Declare `__all__` in every package `__init__.py` and public module; it defines the wildcard-import surface and documents intent even for readers who never use `*`. -- Prefer a module of functions to a class of static methods; a class with no instance state and only `@staticmethod`s is a namespace pretending to be an object. -- Reach for a class only when data and the operations on it are bound together, or when you need multiple instances with independent state; otherwise a function that takes and returns data is simpler and more testable. -- Use `@dataclass` (or `attrs`) for a data-holding class instead of a hand-written `__init__`/`__repr__`/`__eq__`; use `frozen=True` for an immutable value and `slots=True` to cut per-instance memory. -- Use `pydantic` (or `attrs` with validators) when the data crosses a trust boundary and must be validated and coerced, not a plain dataclass, which validates nothing. -- Prefer keyword-only arguments for anything a caller would otherwise pass positionally by accident: put `*` in the signature (`def connect(host, *, timeout=30, retries=3)`), so `connect("h", 5, 2)` cannot silently mean the wrong thing. -- Do not add a parameter that is a `bool` flag switching behavior; split into two functions or take an `Enum`, because `render(x, True, False)` carries no meaning at the call site. -- Return one type from a function, not sometimes a value and sometimes `None` and sometimes a list; if absence is possible, the annotation is `X | None` and the caller is forced to handle it. -- Keep the number of positional parameters small (about four); past that, take a config object or keyword-only arguments. -- Do not expose a mutable internal container as a public attribute; return a copy, or expose read methods, so a caller cannot corrupt your invariants. -- Design `__init__` to be cheap and side-effect free (assign attributes, validate); put I/O and heavy work in a named classmethod (`Client.connect(...)`) or method, so the object can be constructed in tests without touching the network. -- Use `@classmethod` for alternative constructors (`from_file`, `from_json`) and `@property` for a computed read-only attribute; do not turn a cheap attribute into a property with hidden expense. -- Prefer composition to inheritance; inherit only for a genuine "is-a" with a stable base, and never build a deep hierarchy to share a few methods (a mixin or a helper function is usually the right tool). -- Define an interface with `typing.Protocol` (structural) in preference to an `abc.ABC` (nominal); reach for `ABC` only when you want to forbid instantiation of the base and enforce that subclasses implement the abstract methods. -- Make a function's signature stable: adding a keyword argument with a default is safe; removing or reordering parameters, or renaming a keyword, breaks callers. - -Detect in existing code: - -- a public name (no underscore) that is only used inside its own module - it should be `_private`. -- a class whose members are all `@staticmethod` - it should be a module of functions. -- a hand-written `__init__` that only assigns `self.x = x` for several fields, plus a matching `__repr__`/`__eq__` - it should be a `@dataclass`. -- a function taking a positional `bool` that switches its behavior - split it or take an `Enum`. -- `__init__` that opens a file, connects a socket, or spawns a thread - move the I/O to a classmethod or method. -- a module with no `__all__` exporting a large public surface - the intended API is undiscoverable. - -Corrections: - -- `class Utils: @staticmethod def parse(...)` -> module-level `def parse(...)` - a class with no state is a namespace. -- `def __init__(self, a, b): self.a = a; self.b = b` (plus `__repr__`, `__eq__`) -> `@dataclass` - the boilerplate is generated and correct. -- `def send(msg, urgent, retry)` with two bools -> `def send(msg, *, priority: Priority, retry: bool = True)` - keyword-only and an enum. -- `self.items = []` exposed and mutated by callers -> a `def add(self, x)` method or a copy-returning `def items(self)` - protect the invariant. -- `def connect(self): self.sock = socket(...)` in `__init__` -> a `@classmethod def connect(cls)` - keeps construction testable. -- `class Config(ABC)` with one implementation -> a `Protocol` or a plain dataclass - no abstraction until a second implementer exists. - -## 7. Modules, packages, and imports - -The import graph is the architecture. Keep it a shallow acyclic layering, name modules for the domain, and reach every name through an explicit import. - -- Put one domain concept per module; split a module past a few hundred lines or the moment it holds a second unrelated concept. -- Name a module for what it contains (`retry.py`, `tokenizer.py`), never `utils.py`, `helpers.py`, `common.py`, or `misc.py`; those names have no scope, so unrelated code accretes in them forever. When two modules need the same helper, create a third named module for it. -- Keep the import graph acyclic. A circular import (A imports B, B imports A) is a design error, not a case for a deferred import; break it by extracting the shared names into a third lower module both depend on. -- Use absolute imports (`from mypkg.core import parse`) in application and library code; reserve explicit relative imports (`from .core import parse`) for within a package, and never use implicit relative imports (they do not exist in Python 3). -- Import modules and packages, or specific names; never `from module import *` outside a REPL, because it hides where every name came from and lets one module silently clobber another's names. -- Import at the top of the file, not inside a function; a function-level import is justified only to break a genuine cycle you cannot restructure, or to defer a heavy optional dependency, and each such import needs a comment saying which. -- Do no real work at import time: a module that connects, reads a file, or spawns a thread when imported cannot be imported for testing, and slows startup for every consumer. Guard any script behavior with `if __name__ == "__main__":` and put it in `__main__.py` or a `[project.scripts]` entry point. -- Keep `__init__.py` a facade: the version, the curated re-exports, and `__all__`. No logic, no side effects. -- Default the visibility of every name to private (leading underscore) inside a module, and promote to public only what the API needs. -- Do not reach across the layering: a lower-level module must not import a higher-level one, or the graph stops being a layering. -- Parse external input at the boundary into a typed object (a dataclass, a pydantic model), so the interior never handles a raw `dict` of unknown shape. - -Detect in existing code: - -- a module named `utils`, `helpers`, `common`, `misc`, `stuff` - rename it for the concept it holds, or split it. -- an import inside a function with no comment - either hoist it, or say which cycle or optional dependency forced it. -- `from x import *` - replace with explicit names so the origin of each is visible. -- code at module top level that performs I/O or heavy computation - move it behind a function and a `__main__` guard. -- two modules that import each other - extract the shared names downward into a third module. - -Corrections: - -- `import utils` -> `import retry` / `import parsing` - name the concept, so it has a scope and a home. -- `from .models import *` -> `from .models import User, Order` - each name's origin stays visible. -- a deferred `import numpy` inside a hot function to dodge a cycle -> restructure the modules so the cycle is gone. -- `db = connect()` at module top level -> `def get_db(): ...` called where needed - no I/O at import time. -- `from ..pkg.sub.mod import thing` (deep relative) -> `from mypkg.sub.mod import thing` - absolute imports survive moves. - -## 8. Projects, environments, and packaging - -Packaging is Python's historical pain point, and almost all of that pain comes from installing into a shared interpreter and from ad-hoc, unlocked dependency sets. The fix is mechanical: one `pyproject.toml`, one isolated environment per project, one committed lockfile, and a modern tool that manages all three. Prefer `uv`; `pip` with `venv` is the fallback that always works. - -- Put all project metadata, dependencies, and tool configuration in `pyproject.toml` (PEP 621). Do not use `setup.py`, `setup.cfg`, `requirements.txt` as the source of truth, or `Pipfile` for new projects; they are legacy or redundant. -- Never install packages into the system or a shared interpreter. Every project gets its own virtual environment, and `uv` creates and manages it for you (`uv sync`); with plain tooling, `python -m venv .venv` and activate it. -- Commit a lockfile (`uv.lock`, or a fully pinned `requirements.txt` compiled by `uv pip compile`/`pip-tools`). The lockfile records exact versions and hashes so every machine and CI run resolves the identical environment; without it, "works on my machine" is unfalsifiable. -- Declare direct dependencies in `[project.dependencies]` with permissive lower-bound constraints (`httpx>=0.27`), not exact pins; let the lockfile hold the exact versions. Pinning exact versions in a library forces conflicts on every consumer. -- Separate dev-only tools (the linter, the test runner, the type checker) into `[dependency-groups]` (PEP 735) or optional-dependency extras, so they never ship in the runtime environment. -- Pick a build backend and declare it in `[build-system]`: `hatchling` is a good modern default; `setuptools`, `flit-core`, `pdm-backend`, and `uv_build` are all fine. State it explicitly; there is no implicit default. -- Adopt the src layout (section 1) so the installed package, not the working tree, is what gets tested. -- Specify the supported Python versions once with `requires-python = ">=3.11"` and test against each; do not claim support for a version you never run. -- Expose command-line tools through `[project.scripts]` entry points, not a checked-in shell script or a `python path/to/file.py` invocation; the entry point installs onto the `PATH` and works cross-platform. -- Run one-off tools without polluting a project environment with `uvx ` (or `pipx run`); install a global CLI with `uv tool install` (or `pipx install`), never with a plain global `pip install`. -- Reproduce CI's environment exactly from the lockfile (`uv sync --frozen`, or `pip install` from the compiled requirements with hashes); never let CI resolve fresh versions, or the build is non-deterministic. -- Keep secrets and machine-specific config out of `pyproject.toml`; it is committed. Read them from the environment. -- Confirm every dependency is the specific, existing project you intend before adding it (section 9); a wrong or squatted name installs and runs setup code exactly like the real one. - -A minimal, modern `pyproject.toml`: - -```toml -[project] -name = "mypkg" -version = "0.1.0" -description = "One line." -readme = "README.md" -requires-python = ">=3.11" -license = "MIT" -dependencies = [ - "httpx>=0.27", - "pydantic>=2.7", -] - -[project.scripts] -mypkg = "mypkg.cli:main" - -[dependency-groups] -dev = [ - "pytest>=8", - "ruff>=0.6", - "mypy>=1.11", -] - -[build-system] -requires = ["hatchling"] -build-backend = "hatchling.build" - -[tool.ruff] -line-length = 100 - -[tool.pytest.ini_options] -addopts = "-ra --strict-markers" -testpaths = ["tests"] -``` - -The everyday loop with `uv`: - -| Command | What it does | -|---|---| -| `uv init` | scaffold a new project with `pyproject.toml` and src layout | -| `uv add httpx` | add a dependency, update `pyproject.toml` and `uv.lock`, sync the env | -| `uv add --dev pytest` | add a dev-group dependency | -| `uv sync` | make the environment match the lockfile exactly | -| `uv sync --frozen` | the same, failing if the lockfile is stale (use in CI) | -| `uv run pytest` | run a command inside the project environment | -| `uv lock --upgrade` | re-resolve to newer versions and update the lockfile | -| `uvx ruff check` | run a tool one-off in an ephemeral environment | -| `uv build` | build the wheel and sdist | -| `uv tool install ruff` | install a CLI globally, isolated from every project | - -Detect in existing code: - -- a `requirements.txt` with no hashes or a range of unpinned versions used as the source of truth - there is no reproducible environment. -- a `setup.py` doing dynamic work, or `setup.cfg` alone - migrate metadata to `pyproject.toml`. -- an install command that omits a virtual environment (`pip install X` with no active venv) - it mutates a shared interpreter. -- dev tools (`pytest`, `ruff`, `mypy`) listed in runtime `[project.dependencies]` - they ship to users who do not need them. -- exact `==` pins in a library's declared dependencies - they force version conflicts on consumers. - -Corrections: - -- `pip install -r requirements.txt` unpinned -> `uv sync` from a committed `uv.lock` - exact, reproducible, hash-verified. -- `setup.py` with `install_requires=[...]` -> `[project.dependencies]` in `pyproject.toml` - one declarative source of truth. -- `python scripts/run.py` -> a `[project.scripts]` entry point invoked as `mypkg` - installs on the PATH, cross-platform. -- `pip install black` globally -> `uv tool install ruff` (or `uvx ruff`) - isolated, no interference with projects. -- `httpx==0.27.0` in a library -> `httpx>=0.27` in the project, exact version in the lockfile - avoids downstream conflicts. - -## 9. The dependency stack - -The standard library is large and covers more than newcomers expect; reach for it first. Add a third-party package only for something the stdlib genuinely lacks or does badly, and take the ecosystem default rather than a novelty. - -- Add a dependency only when all hold: it does something non-trivial you would otherwise get wrong, you will keep using it, it is actively maintained (a release within roughly a year), and it does not drag in a large tree for a small feature. -- Check the project's PyPI page and source repository before adding it: confirm the exact name, the maintenance status, the license, the Python versions supported, and the size of its own dependency tree. A near-miss or hallucinated name can resolve to an unrelated or malicious package that installs and runs code exactly like the real one. When you cannot confirm identity, add nothing and use the stdlib. -- Reach for the stdlib first: `pathlib`, `dataclasses`, `enum`, `functools`, `itertools`, `collections`, `json`, `datetime`, `logging`, `argparse`, `subprocess`, `contextlib`, `typing`, and `tomllib` (read TOML, 3.11+) remove a dependency each. -- Turn off optional extras you do not use, and gate a heavy optional dependency behind an extra of your own so users opt in. -- Do not pin exact versions in a library; let the resolver and the consumer's lockfile decide (section 8). -- Do not vendor or copy a dependency's source into your tree to avoid declaring it; declare it. - -| Need | Default | Alternative, and when | -|---|---|---| -| project & environment management | `uv` | `pip` + `venv` + `pip-tools` where `uv` is unavailable; `poetry`/`pdm` in existing projects that use them | -| HTTP client | `httpx` | `requests` for sync-only legacy; `urllib.request` for one call with zero dependencies | -| data validation / settings | `pydantic` v2 | `attrs` + `cattrs` for plain classes without the runtime; `dataclasses` when no validation is needed | -| CLI | `typer` (or `click`) | stdlib `argparse` for a small tool with no dependency budget | -| test runner | `pytest` | stdlib `unittest` only in an environment that forbids dependencies | -| linter + formatter | `ruff` (both) | `flake8` + `black` + `isort` in projects not yet migrated | -| type checker | `mypy` | `pyright`/`basedpyright` for speed and stricter inference | -| logging | stdlib `logging` (configured once) | `structlog` for structured logs; `loguru` for a simpler API in an app | -| date/time | stdlib `datetime` + `zoneinfo` | `whenever` for a stricter API; avoid `pytz` (superseded by `zoneinfo`) | -| numerical arrays | `numpy` | stdlib `array`/`statistics` for small, simple cases | -| dataframes | `polars` | `pandas` where the ecosystem or existing code requires it | -| async task orchestration | stdlib `asyncio` (`TaskGroup`) | `anyio` for backend-agnostic async; `trio` for structured concurrency | -| serialization (fast JSON) | stdlib `json` | `orjson` when JSON is a measured hot path | -| retries / backoff | `tenacity` | a hand-written loop only for the trivial case | -| environment config | `pydantic-settings` | stdlib `os.environ` + explicit parsing for a couple of values | -| ORM / database | `sqlalchemy` 2.0 | `sqlite3` (stdlib) for local SQLite; an async driver for async apps | -| web framework | `fastapi` (APIs) / `django` (full stack) | `flask` for a small sync app; `starlette` for a minimal ASGI base | - -Replace on sight: - -| Superseded | Use instead | -|---|---| -| `pytz` | stdlib `zoneinfo` | -| `os.path` string surgery | `pathlib.Path` | -| `%`-formatting / `.format()` for new code | f-strings | -| `flake8` + `black` + `isort` + `pyupgrade` | `ruff` (one tool for all) | -| `setup.py` / `setup.cfg` as source of truth | `pyproject.toml` | -| `nose` / `nose2` | `pytest` | -| `pipenv` for new projects | `uv` | -| `dataclass` + hand-written validation on a boundary | `pydantic` v2 | - -## 10. Documentation - -A docstring is the one piece of documentation the runtime and the tools can see: `help()`, IDEs, and doc generators all read it. Write it for the caller who has the signature in front of them and needs to know what the function does, not how. - -- Give every public module, class, function, and method a docstring (PEP 257); a leading underscore excuses a private one, but a public name without a docstring is incomplete. -- Write the first line as a single imperative-mood sentence ending in a period: `"""Return the parsed config."""`, not `"""This function returns..."""` and not a fragment. -- For a multi-line docstring, put the summary on the first line, a blank line, then the details; the closing `"""` goes on its own line. -- Do not restate the signature or the types in prose; the annotations already carry them. Document what the annotations cannot: what the function does, the meaning of each parameter, what it returns, which exceptions it raises and when, and any side effect. -- Pick one docstring style for the project and use it everywhere: Google style (readable, the common default), NumPy style (dense APIs), or reStructuredText. Do not mix styles. -- Document every exception a caller can trigger in a `Raises:` section, matching section 5's contract. -- Keep comments for the why, not the what: a comment that narrates the next line (`# increment i`) is noise; a comment that names a non-obvious reason (`# API returns seconds, not ms`) earns its place. -- Delete a comment or docstring the moment the code it describes changes; a stale comment is worse than none, because it is trusted. -- Put runnable examples in docstrings as doctests when they are simple, and run them in CI (`pytest --doctest-modules`), so an example cannot rot silently. -- Keep the narrative documentation (README, guides) in `docs/` and out of the wheel; the README's one compiling example, the install line, and the license are what a new user reads first. -- Do not commit commented-out code; version control remembers it, and a block of dead code confuses every future reader. - -A model Google-style docstring: - -```python -def load(path: Path, *, strict: bool = True) -> Config: - """Load and parse a TOML config file. - - Args: - path: Path to the TOML file to read. - strict: If true, reject unknown keys instead of ignoring them. - - Returns: - The parsed configuration. - - Raises: - FileNotFoundError: If ``path`` does not exist. - ValueError: If the file is not valid TOML or a key is unknown. - """ -``` - -Detect in existing code: - -- a public function, class, or module with no docstring - `help()` and the IDE have nothing to show. -- a docstring that repeats the parameter types already in the annotations - it will drift out of sync; document meaning instead. -- a comment that narrates the code (`# loop over items`) - delete it. -- commented-out code left in the file - delete it; the history has it. -- a docstring in a different style from the rest of the module - unify on one. - -Corrections: - -- `"""This method will return the total."""` -> `"""Return the total."""` - imperative, present, one line. -- a `Args:` block re-typing `x (int)` when `x: int` is annotated -> describe what `x` means, not its type. -- `# set x to 5` above `x = 5` -> delete the comment - it restates the code. -- a large commented-out block -> delete it - version control is the archive. - -## 11. Testing - -A change without a test is incomplete: nothing guards against the regression. Use `pytest`, keep tests fast and isolated, and test behavior through the public API rather than internals. - -- Put tests in a top-level `tests/` directory, one test module per source module (`test_core.py` for `core.py`), and name test functions `test_`. -- Use plain `assert`; pytest rewrites it to show both sides on failure, so `assert result == expected` needs no `assertEqual`. -- Test through the public API, not private functions; a test coupled to internals breaks on every refactor and proves nothing about behavior. -- Make every test independent and order-free: no shared mutable state, no reliance on another test having run. Randomize order in CI (`pytest-randomly`) to catch hidden coupling. -- Use fixtures for setup and teardown, put shared ones in `conftest.py`, and prefer `yield` fixtures over manual setup/teardown so cleanup runs even on failure. -- Parametrize repetitive cases with `@pytest.mark.parametrize` instead of copying a test body with different literals. -- Use `tmp_path` (a `pathlib.Path` fixture) for anything touching the filesystem; never write inside the source tree or a fixed temp path two tests could collide on. -- Assert that expected exceptions are raised with `with pytest.raises(ValueError, match="port"):`, always with a `match` so it cannot pass on an unrelated error of the same type. -- Mock at the boundary you own, and patch where the name is looked up, not where it is defined (`patch("mypkg.core.httpx")`, not `patch("httpx")`); over-mocking internals tests the mock, not the code. -- Keep the unit suite fast (well under a second per test); mark slow or networked tests (`@pytest.mark.slow`) and run them on a schedule, not on every save. -- Seed any randomness explicitly and print the seed on failure, so a property or fuzz failure reproduces. -- Measure coverage (`pytest-cov`) to find untested paths, but do not chase 100%; a meaningful assertion beats a line touched with no assertion. -- Use `hypothesis` for invariants over generated input when a function has a property that should hold for all inputs, not just the examples you thought of. - -```python -import pytest -from mypkg.core import parse - -@pytest.mark.parametrize( - ("raw", "expected"), - [("", {}), ("a=1", {"a": 1}), ("a=1;b=2", {"a": 1, "b": 2})], -) -def test_parse_pairs(raw, expected): - assert parse(raw) == expected - -def test_parse_rejects_missing_value(): - with pytest.raises(ValueError, match="missing value"): - parse("a=") - -def test_writes_to_tmp(tmp_path): - target = tmp_path / "out.txt" - target.write_text("data") - assert target.read_text() == "data" -``` - -Detect in existing code: - -- a test with no assertion, or one asserting nothing about behavior - it only proves the code did not crash. -- `pytest.raises(Exception)` or `pytest.raises(ValueError)` with no `match` - it passes on any error of that breadth. -- a test importing and exercising a `_private` function - it is coupled to internals and will break on refactor. -- tests that must run in a fixed order, or share module-level mutable state - hidden coupling, flaky under reordering. -- a test writing to a hard-coded path instead of `tmp_path` - two runs or two tests collide. - -Corrections: - -- `unittest`-style `self.assertEqual(a, b)` -> `assert a == b` - pytest shows both sides with a plain assert. -- five near-identical test functions -> one `@pytest.mark.parametrize` - the cases become data. -- `with pytest.raises(ValueError):` -> `with pytest.raises(ValueError, match="..."):` - pin which error. -- `patch("requests.get")` when the code does `from requests import get` -> patch the name in the module under test. -- a test writing `./out.txt` -> use the `tmp_path` fixture - isolated per test, cleaned up automatically. - -## 12. Lints, tooling, and CI - -Every guarantee that a tool can enforce should be enforced by a tool, not by a reviewer. Configure the tools once in `pyproject.toml`, run the same commands locally and in CI, and gate merges on them. - -- Use `ruff` for both linting and formatting; it replaces `flake8`, `isort`, `black`, `pyupgrade`, and more in one fast tool. Configure it in `[tool.ruff]`. -- Turn on a broad rule set and narrow down: enable at least `E`, `F`, `I` (imports), `B` (bugbear, catches the mutable-default and other gotchas), `UP` (pyupgrade), and `SIM`; add `RUF` and others as the project tolerates. -- Run a type checker (`mypy` or `pyright`) in CI in strict mode on the package, and treat a type error as a build failure; an unchecked annotation is worthless. -- Do not scatter `# noqa` or `# type: ignore` without a specific code and a reason: write `# noqa: E501` and `# type: ignore[arg-type]`, never a bare blanket ignore, and enable `warn_unused_ignores` so a stale suppression is itself an error. -- Configure mypy strictly: `strict = true`, plus `warn_unused_ignores` and `warn_return_any`. A gradually typed codebase can raise strictness module by module with per-module overrides. -- Use `pre-commit` to run the formatter, linter, and quick checks before every commit, so nothing unformatted or unlinted reaches the branch. -- Keep the CI gate fast and split into attributable steps: format check, lint, type check, test. One aggregate job depends on all of them and is the required status check. -- Test against every Python version in `requires-python`, in a matrix; do not claim support you never exercise. -- Never install into the CI runner's system interpreter; `uv sync --frozen` (or a hash-pinned `pip install`) reproduces the locked environment exactly. -- Do not disable a lint rule globally to silence one occurrence; suppress it at the line with a code and a reason, or fix the code. - -The local loop before pushing: - -| Command | What it checks | -|---|---| -| `uv run ruff format --check .` | formatting matches the configured style | -| `uv run ruff check .` | lint rules across the tree | -| `uv run mypy src` | static types, in strict mode | -| `uv run pytest` | the test suite against the installed package | -| `uv lock --check` (or `uv sync --frozen`) | the lockfile is current and honored | - -A minimal CI matrix: - -```yaml -jobs: - test: - strategy: - fail-fast: false - matrix: - python: ["3.11", "3.12", "3.13"] - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v4 - - uses: astral-sh/setup-uv@v3 - - run: uv sync --frozen --python ${{ matrix.python }} - - run: uv run ruff format --check . - - run: uv run ruff check . - - run: uv run mypy src - - run: uv run pytest -``` - -Detect in existing code: - -- separate `black`, `isort`, and `flake8` configs where one `ruff` config would do - consolidate. -- a bare `# noqa` or `# type: ignore` with no code - it silences every future error on that line too. -- no type checker in CI, or mypy not in strict mode - annotations are unenforced. -- CI that resolves dependencies fresh instead of from the lockfile - the build is non-deterministic. - -Corrections: - -- `# type: ignore` -> `# type: ignore[arg-type] # reason` - narrow to the one error and say why. -- `# noqa` -> `# noqa: E501` - suppress the specific rule, not all of them. -- `flake8` + `black` + `isort` in `pre-commit` -> a single `ruff` hook (check + format) - one fast tool. -- `pip install -e .` in CI with no lockfile -> `uv sync --frozen` - reproducible. - -## 13. Performance - -Measure before optimizing. Python's cost is usually in the wrong algorithm, redundant I/O, or per-item work that should be batched, not in the language; and the biggest wins come from using the right data structure and calling into C (stdlib, numpy) rather than from clever pure-Python tricks. - -- Profile before changing anything: `cProfile` (with `snakeviz` or `tuna` to view) for where wall time goes, `timeit` for a micro-benchmark, `tracemalloc` for where memory is allocated, `py-spy` for a sampling profile of a running process without instrumentation. -- Fix the algorithm first: a membership test on a `set` or `dict` is O(1) versus O(n) on a `list`; the single biggest speedup is usually swapping a `list` scan for a `set`. -- Use the right data structure: `collections.deque` for a queue (O(1) at both ends, unlike a list's O(n) `pop(0)`), `heapq` for a priority queue, `Counter` for tallies, `dict`/`set` for lookups. -- Batch I/O: one query for N ids beats N queries; read a file once; do not call the network inside a loop when a bulk call exists. -- Do not build a list you only iterate once; use a generator, which streams and allocates nothing. -- Build strings by collecting parts in a list and `"".join(parts)` once, never by `+=` in a loop, which is quadratic. -- Hoist invariant work out of loops: compile a regex once with `re.compile`, look up an attribute or method once into a local, compute a constant once. -- Cache pure functions with `functools.cache`/`lru_cache` and expensive attributes with `functools.cached_property`, rather than hand-rolled memoization. -- Add `__slots__` to a class instantiated in large numbers to cut per-instance memory and speed attribute access. -- Push numeric work into `numpy` (or `polars`) and operate on whole arrays; a Python-level loop over millions of numbers is the wrong tool. -- Do not micro-optimize cold code; readability wins everywhere the profiler does not point. -- Understand the GIL before reaching for threads for speed (section 14): threads do not parallelize CPU-bound pure-Python work on current CPython. - -| Question | Tool | -|---|---| -| where does wall time go | `cProfile` + `snakeviz`/`tuna`, or `py-spy` on a live process | -| is this snippet faster than that one | `timeit` | -| where is memory allocated | `tracemalloc`, `memray` | -| what does a running production process do | `py-spy dump` / `py-spy top` | - -Corrections: - -- `x in a_list` in a hot loop -> build a `set` once, then `x in a_set` - O(1) instead of O(n) per check. -- `s += part` in a loop -> `parts.append(part)` then `"".join(parts)` - avoids quadratic reallocation. -- `lst.pop(0)` in a loop -> `collections.deque` and `popleft()` - O(1) instead of O(n). -- `re.match(pattern, x)` with a literal pattern in a loop -> `rx = re.compile(pattern)` once, then `rx.match(x)`. -- a pure function recomputed with the same args -> `@functools.cache` on it. -- a Python loop summing a million floats -> `numpy` array operations. - -## 14. Concurrency and async - -Choose the concurrency model by whether the work waits or computes. The GIL means threads do not speed up CPU-bound pure-Python code; they help only I/O-bound work. This is the single most misunderstood fact in Python performance. - -- I/O-bound and you control the whole call graph: use `asyncio`. It scales to thousands of concurrent waits on one thread. -- I/O-bound with blocking libraries you cannot rewrite: use a `ThreadPoolExecutor` (or `asyncio.to_thread`); threads release the GIL during blocking I/O, so they overlap waits. -- CPU-bound: use a `ProcessPoolExecutor` or `multiprocessing`; separate processes have separate GILs and use multiple cores. (On 3.13+ free-threaded builds the GIL can be disabled, but do not assume that build.) -- Do not reach for concurrency at all for a short script or a sequential task; it adds failure modes for no benefit. -- In `asyncio`, never call a blocking function (`time.sleep`, `requests.get`, a sync DB driver, heavy CPU work) directly in a coroutine; it freezes the entire event loop. Send blocking I/O to `asyncio.to_thread` and CPU work to a process pool via `loop.run_in_executor`. -- Await every coroutine or schedule it as a task; a coroutine that is never awaited does nothing and warns. Do not fire-and-forget without keeping a reference, or the task may be garbage-collected mid-flight. -- Structure concurrent tasks with `asyncio.TaskGroup` (3.11+), which cancels siblings on failure and raises an `ExceptionGroup`, rather than bare `asyncio.gather` with manual cancellation. -- Use `asyncio.timeout()` (3.11+) as a context manager for deadlines instead of wrapping every call in `wait_for`. -- Protect shared mutable state accessed from multiple threads with a `threading.Lock`, and prefer a `queue.Queue` to hand data between threads over a shared list plus a lock. -- Do not share a mutable object across processes expecting mutations to be visible; processes have separate memory. Pass data through the pool's arguments and return values, which are pickled. -- Hold a lock for the shortest possible span, and never perform I/O or await while holding a threading lock, which serializes everything waiting on it. -- Make anything spawned daemonic only when you accept it dying abruptly at exit; otherwise join it, and shut down cleanly with a cancellation signal. - -| Situation | Tool | -|---|---| -| thousands of concurrent network calls | `asyncio` with `TaskGroup` | -| a few blocking I/O calls from async code | `asyncio.to_thread` / `ThreadPoolExecutor` | -| CPU-bound work across cores | `ProcessPoolExecutor` / `multiprocessing` | -| hand data safely between threads | `queue.Queue` | -| one long-lived background worker | a `threading.Thread` plus a queue, joined at shutdown | -| a deadline on an async operation | `async with asyncio.timeout(seconds):` | -| run a batch of async tasks, fail as a group | `asyncio.TaskGroup` | - -Detect in existing code: - -- `time.sleep`, `requests.get`, or a sync DB call inside an `async def` - it blocks the whole event loop; use the async equivalent or `to_thread`. -- a `ThreadPoolExecutor` used for CPU-bound pure-Python work expecting a speedup - the GIL prevents it; use processes. -- a coroutine called without `await` (`do_work()` on its own line) - it never runs and warns. -- shared mutable state touched by multiple threads with no lock - a data race. -- `asyncio.gather` with manual per-task cancellation on error - a `TaskGroup` does it correctly. - -Corrections: - -- `time.sleep(1)` in a coroutine -> `await asyncio.sleep(1)` - thread sleep freezes the loop. -- `requests.get(url)` in a coroutine -> `await client.get(url)` with `httpx.AsyncClient`, or `await asyncio.to_thread(requests.get, url)`. -- `ThreadPoolExecutor` for a CPU-heavy map -> `ProcessPoolExecutor` - separate GILs, real parallelism. -- `results = await asyncio.gather(*tasks)` with try/except cancellation -> `async with asyncio.TaskGroup() as tg: ...` - structured cancellation. -- a shared `list` appended from threads -> a `queue.Queue`, or a `Lock` around the append. - -## 15. Code smells and anti-patterns - -These are the recurring shapes that pass review and rot a codebase. Each has a mechanical tell and a mechanical fix. - -- God function or class: a function past a couple hundred lines, or a class with a dozen unrelated methods and fields, is doing several jobs. Split it along its phases or responsibilities into named units. -- Deep nesting: more than three levels of `if`/`for` is a readability failure. Flatten with early returns (guard clauses), by extracting the inner block into a function, or by using `any`/`all`/a comprehension. -- Duplicated logic: the same transformation in two places drifts apart. Extract a named function and call it from both. (But do not over-abstract a coincidental similarity; two things that merely look alike today are not one thing.) -- Primitive obsession: passing around bare `dict`s, tuples, and strings for a structured concept. Model it as a dataclass or an enum, so its shape is discoverable and its invalid states are unrepresentable. -- Boolean flag parameters that switch behavior: `f(x, True)` is unreadable at the call site. Split the function or take an enum (section 6). -- Stringly-typed code: passing a mode or a kind as a raw string and branching on it. Use an `Enum` so a typo is a `NameError`, not a silent wrong branch. -- Stored derived state: keeping a field that can be computed from other fields, which then drifts out of sync. Compute it at the point of use, or make it a `@property`/`cached_property`. -- Defensive `isinstance` ladders and type-switching: a function that branches on the runtime type of its argument usually wants polymorphism or an overload, or should have validated at the boundary. -- Catch-and-continue: `except Exception: pass` (section 5) hides the bug you will be paged for. -- Global mutable state: a module-level list or dict mutated from many places is untestable and race-prone. Pass state explicitly, or encapsulate it. -- Magic numbers and literals: an unexplained `86400` or `0.05` repeated in code. Name it a module constant (`SECONDS_PER_DAY`). -- Reinventing the stdlib: hand-rolling what `itertools`, `collections`, `functools`, `pathlib`, or `dataclasses` already provides, usually with a subtle bug the stdlib version does not have. -- Overengineering: a factory, a registry, and three abstract base classes for one concrete implementation. Add the abstraction when the second implementation exists, not before (YAGNI). -- Comments that lie: a comment or docstring describing behavior the code no longer has. Delete or fix it in the same change as the code. -- Wildcard imports and `utils` modules (sections 7): they hide origins and accrete unrelated code. - -Corrections: - -- a 300-line function with three phases -> three named functions and a small orchestrator - each phase is testable alone. -- `if a: if b: if c: do()` -> `if not (a and b and c): return` then `do()` - flatten with a guard. -- `{"x": 1, "y": 2}` passed as a "point" everywhere -> a `@dataclass Point` - the shape becomes discoverable and typed. -- `if mode == "fast": ... elif mode == "slow": ...` on raw strings -> a `Mode(Enum)` - a typo becomes an error. -- `self.total = sum(self.items)` stored and re-synced -> a `@property def total(self)` - no drift. -- a hand-written grouping loop -> `itertools.groupby` or a `defaultdict(list)` - the stdlib is correct. -- `TAX = 0.2` inlined as `0.2` in five places -> one named constant referenced everywhere. - -## 16. Version-sensitive facts - -These change with the interpreter and the tools. Check them against the versions you target before relying on one. - -Language and stdlib milestones (a lower floor forces the older spelling): - -| Feature | Needs | -|---|---| -| free-threaded (no-GIL) builds, optional | 3.13 | -| `type X = ...` aliases and `def f[T]()` generics (PEP 695) | 3.12 | -| f-string grammar relaxed (nested quotes, multiline) | 3.12 | -| `ExceptionGroup`, `except*`, `asyncio.TaskGroup`, `asyncio.timeout`, `Self`, `tomllib` | 3.11 | -| significantly faster interpreter ("Faster CPython" begins) | 3.11 | -| pattern matching (`match`/`case`, PEP 634) | 3.10 | -| `X | Y` union syntax in annotations (PEP 604) | 3.10 | -| built-in generics `list[int]` (PEP 585) | 3.9 | -| `dict` merge operators `\|`/`\|=`, `str.removeprefix`/`removesuffix` | 3.9 | -| the walrus operator `:=`, positional-only `/` params | 3.8 | -| `dataclasses`, `f-strings` (3.6), `breakpoint()` | 3.7 | - -Notes that shift with the toolchain: - -- `from __future__ import annotations` makes all annotations lazy strings (PEP 563); still useful on older runtimes for forward references, but do not assume PEP 649's deferred evaluation is the default unless you target 3.14+. -- `ruff` moves fast; rule codes and defaults change between releases. Pin a minimum version and re-read the changelog on upgrade. -- `pydantic` v1 and v2 have incompatible APIs; new code targets v2. Do not mix guidance across the boundary. -- `uv` is young and evolving quickly; its lockfile format and commands may change. Pin it and check the docs for the version you run. -- Type-checker strictness defaults differ between `mypy` and `pyright`, and between their versions; state the checker and its config rather than assuming a default. - -## 17. File index - -| Concept | Files | -|---|---| -| project metadata, dependencies, tool config | `pyproject.toml` | -| locked environment | `uv.lock` (or a hash-pinned compiled `requirements.txt`), committed | -| package facade and version | `src//__init__.py` | -| `python -m` entry | `src//__main__.py` | -| type-information marker | `src//py.typed` | -| one domain concept | `src//.py` | -| private module | `src//_.py` | -| tests | `tests/test_.py` | -| shared fixtures | `tests/conftest.py` | -| pre-commit hooks | `.pre-commit-config.yaml` | -| narrative docs | `docs/`, `README.md` | -| CI | `.github/workflows/` | - -## Binding rules (restated) - -- Never bind a mutable default argument; default to `None` and build the value in the body. -- Catch the narrowest exception you can handle; never a bare `except` or a swallow-and-continue. -- Type every public signature and enforce it with a type checker in CI. -- Pin the environment with a committed lockfile and never install into a shared interpreter. -- Format with the formatter and pass the linter before every commit; the tool settles it. -- Verify every dependency is the intended, existing project before adding it; a wrong name installs and runs like the real one. -- Manage every external resource with a `with` block, never a bare open-and-close you must remember. - -*2026-07-25 - claude-opus-4-8 (pi agent). Distilled from PEP 8, PEP 20, PEP 257, PEP 484/585/604/621/695, the Python packaging guidance (PyPA), and current tooling practice around uv, ruff, mypy, and pytest.* From a2f7f8dbdc18559fd0e5840fdd15ad15bc5b6ea4 Mon Sep 17 00:00:00 2001 From: Jason Brazeal Date: Thu, 13 Aug 2026 10:42:34 -0700 Subject: [PATCH 03/14] python rulebook plan --- python-rulebook-plan.md | 662 +++++++++++++++++++--------------------- 1 file changed, 319 insertions(+), 343 deletions(-) diff --git a/python-rulebook-plan.md b/python-rulebook-plan.md index 8c3f14c..b964662 100644 --- a/python-rulebook-plan.md +++ b/python-rulebook-plan.md @@ -1,417 +1,393 @@ -# Plan: Writing the Python Rulebook +# Plan: Rulebook for Writing & Maintaining Python >=3.12 -This document is the build plan for `rulebooks/python-rulebook.md`, a reference an AI loads before writing, reviewing, or cleaning up Python. Follow this plan section by section; it carries every fact, snippet, config template, and citation the writer needs, so no further web research is required. Bullets here are the outline for the rulebook's prose — expand each into a rule with a reason and, where marked, a bad→good snippet. - -Acronyms used throughout, defined once: PEP ([Python Enhancement Proposal](https://peps.python.org/pep-0001/)), EAFP (Easier to Ask Forgiveness than Permission), LBYL (Look Before You Leap), GIL (Global Interpreter Lock), ABC (Abstract Base Class), API (Application Programming Interface), CI (Continuous Integration), TOCTOU (Time-Of-Check to Time-Of-Use), PyPUG ([Python Packaging User Guide](https://packaging.python.org/)), SPDX ([Software Package Data Exchange](https://spdx.org/licenses/)) license identifier. +This plan is the build input for a rulebook. The rulebook's reader is an AI that writes and maintains Python 3.12+ code. Generate the rulebook from this plan without further web research; every rule and example needed is distilled below. Acronyms are defined at first use here; carry those definitions into the rulebook the first time each appears there too. ## How to write the rulebook -Match the house format of the sibling files (`javascript-rulebook.md`, `typescript-rulebook.md`, `cpp-rulebook.md`). Concretely: - -- **Frontmatter:** a YAML `description:` line summarizing scope (language syntax, layout, packaging, typing, errors, API design, imports, dependencies, docs, testing, tooling, performance, concurrency, gotchas). -- **HTML comment** after frontmatter: one line telling the model to load this file before writing/reviewing/cleaning Python, and that sections are consulted one at a time so their combined length is not the constraint count. -- **Title** `# Rulebook: Writing Python`, one framing paragraph, then an image line `![The Python Workshop](images/python-rulebook.png)`. Always include this line — the human supplies a companion image for every rulebook, so the asset will exist. -- **`## Non-negotiable rules`** section immediately after the intro: 6–8 bullets, each an imperative with a terse reason, restated verbatim at the end of the file. Draw them from the cross-source themes: EAFP over LBYL, never bare `except:`/silent failure, modern typing syntax, no mutable default args, choose concurrency model by workload, `snake_case`/`PascalCase`/`UPPER_CASE` naming, format with Ruff + type-check with mypy. -- **Numbered sections**, ordered most-to-least frequently needed during cleanup (order given below). -- **Every rule** is mechanically detectable and carries a concrete bad→good correction where behavior is checkable. Mark behavior-changing fixes as suggestions, not silent auto-fixes. -- **Per-section `### Corrections` list** (optional but preferred, matching JS rulebook): one-line `bad -> good - reason` entries, `*` marking behavior-changing ones. -- **Closing restatement** of the non-negotiable rules. -- Cite the governing PEP or doc inline as a link the first time a rule references it, exactly as the sibling rulebooks link MDN. - -**Target version baseline:** assume Python 3.10+ as the default (enables `X | Y` unions, `match`, `slots=True`). Gate newer features by version in the text: 3.11 (`Self`, `StrEnum`, `ExceptionGroup`/`except*`, `TaskGroup`, `tomllib`), 3.12 (PEP 695 `class C[T]` generics, `type` alias statement), 3.13 (experimental free-threaded build). For code that must run on 3.9, note the `from __future__ import annotations` fallback. - -**Section order** (frequency-first): 1 Naming & style · 2 Idioms & the Zen · 3 Typing · 4 Errors & exceptions · 5 Functions, classes & API design · 6 Imports · 7 Docstrings & documentation · 8 Project layout & packaging · 9 Dependencies & environments · 10 Tooling (Ruff, mypy, pre-commit) · 11 Testing · 12 Concurrency · 13 Performance · 14 Gotchas & anti-patterns. +- Target audience: an AI coding agent. Write rules as imperatives, one instruction per sentence, bullets not prose. +- Target runtime: Python 3.12 and newer. Encode the modern generation of syntax and tooling; mark anything older as legacy-to-avoid with its replacement. +- Structure: one top-level section per numbered section below, in this order. Keep each section's rules next to that section's code examples. +- For every rule with a non-obvious reason, attach the reason in one clause; the AI generalizes from the reason. +- For every prohibition, state the replacement behavior beside it. +- Quantify every quantity (line length, counts, coverage %); never write "a few" or "short". +- Include the code examples marked "EXAMPLE" verbatim in spirit; each is a specification of the desired form, not decoration. +- Overriding meta-rule to state once at the top of the rulebook: consistency within an existing project outranks any style rule here; when a project already follows a different convention, match it. +- Define these acronyms at first use in the rulebook: PEP ([Python Enhancement Proposal](https://peps.python.org/pep-0001/)); EAFP ("Easier to Ask Forgiveness than Permission"); LBYL ("Look Before You Leap"); GIL ([Global Interpreter Lock](https://docs.python.org/3/glossary.html#term-global-interpreter-lock)); CI (Continuous Integration); ABC ([Abstract Base Class](https://docs.python.org/3/library/abc.html)); TOCTOU (Time-Of-Check to Time-Of-Use); IPC (Inter-Process Communication); PyPA ([Python Packaging Authority](https://www.pypa.io/)); PyPUG ([Python Packaging User Guide](https://packaging.python.org/)). --- -## Section 1 — Naming & style - -Sources to cite: [PEP 8](https://peps.python.org/pep-0008/), [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html). - -**Naming (bad→good worth showing):** -- `snake_case` for functions, variables, methods, modules, packages; packages prefer no underscores. -- `PascalCase`/CapWords for classes, exceptions, and type variables. -- `UPPER_CASE` for module-level constants. -- `_leading_underscore` = internal/non-public; `__double_leading` = name-mangled in a class; `__dunder__` reserved — never invent new dunders. -- `trailing_underscore_` to dodge a keyword/builtin clash (`class_`, `type_`). -- First arg `self` (instance methods), `cls` (class methods). -- Avoid single-char names `l`, `O`, `I` (look like 1/0); do not shadow builtins (`list`, `id`, `type`, `dict`). - -**Layout / formatting:** -- 4-space indent, never tabs. -- Line length: PEP 8 = 79 (72 for docstrings/comments); the tooling default (Ruff/Black) = 88 — pick one project-wide; the rulebook recommends 88 to match the formatter, and says a formatter owns this so humans should not hand-wrap. -- Two blank lines around top-level defs/classes; one blank line between methods. -- One import per line; group stdlib → third-party → local with a blank line between groups; imports at top after the module docstring. -- Spaces around binary operators and after commas; none inside brackets, before `:`/`,`, or around `=` in keyword args/defaults. -- Pick one string quote style and keep it; use the other only to avoid escaping. -- No trailing whitespace; UTF-8; newline at end of file. -- Break before binary operators (Knuth style). - -**Overriding rule:** consistency within a project beats the guide; a formatter enforces this so the model should defer to the project's Ruff/Black config. +## Section 1 — Style, Naming & Idioms + +Purpose: encode canonical formatting, names, and the idioms that mark code as Pythonic. + +Rules to write (from PEP 8 ([Style Guide](https://peps.python.org/pep-0008/)), PEP 20 ([Zen of Python](https://peps.python.org/pep-0020/)), the [glossary](https://docs.python.org/3/glossary.html), [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html), [Hitchhiker's Guide](https://docs.python-guide.org/writing/style/)): + +- Line length: default to the formatter's width; PEP 8 caps code at 79 columns, docstrings/comments at 72; Black/Ruff default to 88. Pick one width per project and hold it. +- Indentation: 4 spaces per level; never tabs; never mix. Prefer implicit continuation inside `()[]{}` over backslashes; align to opening delimiter or use a hanging indent. +- Naming: `snake_case` for functions, variables, methods, modules, packages; `PascalCase` (CapWords) for classes, exceptions, type variables; `UPPER_CASE` for module-level constants. +- Underscores: single leading `_name` marks non-public; double leading `__name` triggers class name-mangling; single trailing `name_` dodges keyword clashes (`class_`, `type_`); never invent `__dunder__` names. +- Avoid single-char names `l`, `O`, `I` (confusable with 1/0). Use `self`/`cls` as first method args. +- Blank lines: 2 around top-level functions/classes, 1 between methods; use blank lines inside a function only to separate logical steps. +- Whitespace: no space inside brackets; no space before `,;:`, one after; spaces around binary and assignment operators; no spaces around `=` for keyword args/defaults unless the parameter is annotated, then `def f(x: int = 1)`; treat slice `:` as an operator with equal spacing. +- Comparisons to singletons use `is`: `if x is None`. Inline comments: 2+ spaces before `#`, then `# ` and text. +- Prefer `def` over assigning a `lambda` to a name. +- Zen aphorisms to state as rules: explicit over implicit; simple over complex; flat over nested; readability counts; errors should never pass silently unless explicitly silenced; one obvious way to do it; if the implementation is hard to explain, it is a bad idea. +- EAFP vs LBYL: define both. LBYL tests preconditions first (`if key in d: x = d[key]`); EAFP assumes success and catches failure (`try: x = d[key] except KeyError: ...`). Prefer EAFP: it reads cleaner and avoids TOCTOU races where state changes between the check and the use. Escape hatch: use LBYL when no exception is raised on failure (e.g. a value that is merely falsy) or when the check is cheaper than the setup for the try. +- Pythonic idioms to require: + - Truthiness: `if seq:` / `if not seq:` for empty/non-empty; but `if x is None:` when None must be distinguished from other falsy values. + - `enumerate(items)` for index+value, not `range(len(items))`. + - `with` context managers for every resource (`with open(f) as fh:`), guaranteeing cleanup. + - Comprehensions for building collections; generator expressions `(...)` for large or lazy streams. + - `''.join(parts)` to assemble strings, never repeated `+=` in a loop (avoids O(n^2) reallocation). + - `isinstance(x, T)` over `type(x) == T` (respects subclasses). + - Tuple unpacking for swaps (`a, b = b, a`); chained comparisons (`if 0 < x < 10:`). + - `dict.get(k, default)`, `dict.setdefault`, `collections.defaultdict` over manual key-presence checks. --- -## Section 2 — Idioms & the Zen - -Sources: [PEP 20 — Zen of Python](https://peps.python.org/pep-0020/), [EAFP/LBYL glossary](https://docs.python.org/3/glossary.html), [Hitchhiker's Guide — Style](https://docs.python-guide.org/writing/style/). - -**Zen principles to encode as rules:** explicit > implicit; simple > complex; flat > nested; sparse > dense; readability counts; errors should never pass silently unless explicitly silenced; in the face of ambiguity refuse to guess; one obvious way to do it; if the implementation is hard to explain it is a bad idea. - -**EAFP over LBYL (show both):** -- EAFP (assume success, wrap in `try/except`) is the preferred Pythonic idiom. -- LBYL (pre-check with `if`) risks TOCTOU race conditions and double work; reserve it for when raising is genuinely costly/ambiguous. -- Use EAFP for attribute/key access; prefer `dict.get()`/`setdefault()`/`collections.defaultdict` over key-existence checks. - -**Core idioms (give bad→good snippets for the starred ones):** -- Truthiness: `if seq:` / `if not seq:`, not `if len(seq) == 0`. * -- Identity vs equality: compare to `None`/`True`/`False` with `is`/`is not`, never `==`. * -- `enumerate()` for index+value; `zip()` for parallel iteration. * -- `with` context managers for resource cleanup, not manual open/close. * -- Comprehensions/generators over `map`/`filter`/accumulator loops when simple. -- Build strings with `''.join(parts)`, never `+=` in a loop. * -- `isinstance(x, T)`, not `type(x) == T`. * -- Never bare `except:`; catch specific exceptions. * -- Never mutable default args; use a `None` sentinel. * (cross-reference Section 14). - -Snippets to include (from research): mutable-default fix, `enumerate` fix, `''.join` fix, bare-except fix, `isinstance`/truthiness fix, `with` + `dict.get` fix. +## Section 2 — Typing + +Purpose: encode modern static typing for Python 3.12+, superseding legacy `typing` imports. + +Rules to write (from PEP 484 ([Type Hints](https://peps.python.org/pep-0484/)), PEP 585 ([Generics in Standard Collections](https://peps.python.org/pep-0585/)), PEP 604 ([Union types](https://peps.python.org/pep-0604/)), PEP 544 ([Protocols](https://peps.python.org/pep-0544/)), the [typing docs](https://docs.python.org/3/library/typing.html) incl. PEP 695 ([Type Parameter Syntax](https://peps.python.org/pep-0695/))): + +- Prefer builtin/standard generics directly; do not import `typing.List/Dict/Set/Tuple/Type`: write `list[int]`, `dict[str, int]`, `set[str]`, `tuple[int, ...]`, `type[MyClass]`, and `collections.abc.Sequence[int]` / `collections.abc.Callable[[int], str]`. +- Prefer `|` unions over `Union`/`Optional`: `int | str`, `str | None`. `Optional[X]` means `X | None` (a value that may be None), not "argument may be omitted"; a default value does not add `None` — annotate `def f(x: int | None = None)`. `isinstance(x, int | str)` works at runtime. +- Prefer PEP 695 native generics over explicit `TypeVar`: + - EXAMPLE: + ```python + class Stack[T]: + def push(self, item: T) -> None: ... + def first[T](xs: list[T]) -> T: return xs[0] + def bounded[T: Number](x: T) -> T: ... # upper bound + def constrained[T: (int, str)](x: T) -> T: ... # constraints + type Vector = list[float] # alias statement + type Pair[T] = tuple[T, T] # generic alias + ``` + - Reach for `TypeVar` only for variance control (`covariant=`/`contravariant=`) or when a legacy codebase requires it. +- State that hints are NOT enforced at runtime: they serve static checkers (mypy/pyright), editors, and docs; wrong types do not raise from the annotation itself. +- Construct reference (define each with one use case): `Callable[[Arg], Ret]` from `collections.abc`; `ParamSpec` (`[**P]`) to forward a callable's full signature in decorators; `Self` for fluent/builder returns and alternative constructors; `Final`/`@final` for constants and non-subclassable/non-overridable declarations; `Literal["r","w"]` to restrict to constant values; `TypedDict` for dicts with fixed string keys and per-key types (`NotRequired`/`total=False` for optional keys); mention `overload`, `cast`, `Annotated`, `NewType`, `TypeGuard`/`TypeIs`. +- EXAMPLE decorator forwarding: + ```python + def logged[**P, R](f: Callable[P, R]) -> Callable[P, R]: + def w(*a: P.args, **k: P.kwargs) -> R: return f(*a, **k) + return w + ``` +- `from __future__ import annotations` or quoting is needed only to defer evaluation or break import cycles; it is largely unnecessary for the syntax above on 3.12. --- -## Section 3 — Typing - -Sources: [PEP 484](https://peps.python.org/pep-0484/), [PEP 585](https://peps.python.org/pep-0585/), [PEP 604](https://peps.python.org/pep-0604/), [PEP 544](https://peps.python.org/pep-0544/), [typing docs](https://docs.python.org/3/library/typing.html). +## Section 3 — Errors & Exceptions -**Modern syntax supersedes legacy (each a bad→good):** -- Builtin generics (3.9+): `list[int]`, `dict[str, int]`, `tuple[int, ...]`, `type[C]` — `typing.List/Dict/Set/Tuple/Type` are deprecated. * -- Import ABCs from `collections.abc`, not `typing`: `Sequence`, `Mapping`, `Iterable`, `Iterator`, `Callable`. * -- Unions (3.10+): `X | Y` and `X | None`, not `Union`/`Optional`; works in `isinstance(x, int | str)`. * -- Generics (3.12+, PEP 695): `class Box[T]:` / `def f[T](x: T) -> T:` — no module-level `TypeVar` needed; `type Vector = list[float]` for aliases. Pre-3.12 keep `TypeVar`/`Generic`. +Purpose: encode narrow, explicit, chained exception handling; forbid silent failures. -**Constructs to teach:** -- `Protocol` (PEP 544): structural/duck-typed interfaces matched by shape; prefer over ABCs when callers should not subclass; `@runtime_checkable` allows `isinstance` but checks method presence only. -- `Self` (3.11+) for fluent methods/alt constructors; `Final`/`@final`; `Literal["r","w"]`; `TypedDict` (with `total=False`, `Required`/`NotRequired`); `Callable[[int, str], bool]`; `ParamSpec` to preserve decorator signatures; `@overload`; `Annotated[T, meta]`; `cast(T, x)` sparingly. -- `Any` disables checking (assignable both ways) — prefer `object` (safe top type, narrow before use) when you just mean "anything". * +Rules to write (from [Built-in Exceptions](https://docs.python.org/3/library/exceptions.html) and PEP 20's "errors should never pass silently"): -**Runtime behavior:** -- Hints are not enforced at runtime; static checkers/IDEs consume them. -- `from __future__ import annotations` stores annotations as strings (lazy) — enables forward refs and new syntax on older Pythons; read via `typing.get_type_hints()`. -- Quote forward references (`def f(x: "Node")`); guard typing-only imports under `if TYPE_CHECKING:` to avoid runtime/circular imports. - -**Policy rule:** annotate all public function signatures and public class attributes; type-check in CI (Section 10). Adopt gradually on legacy code. - -Snippets (from research): List/Dict→list/dict; Optional/Union→`|`; typing→collections.abc; TypeVar/Generic→`class Box[T]`; `Any`→`object`. +- Derive custom exceptions from `Exception`, never `BaseException` (which is reserved for interpreter signals `SystemExit`, `KeyboardInterrupt`, `GeneratorExit` that should not normally be caught). +- Group a package's errors under one base class so callers can catch broadly or narrowly. + - EXAMPLE: + ```python + class AppError(Exception): ... + class ConfigError(AppError): ... + class NetworkError(AppError): ... + ``` +- Catch specific types, ordered narrow-to-broad (`except FileNotFoundError:` before `except OSError:`). +- Never use bare `except:` (it catches `KeyboardInterrupt`/`SystemExit`); when breadth is truly needed use `except Exception:` and log or re-raise — never `except ...: pass`. +- Chain causes with `raise NewError(...) from original`; use `from None` to deliberately suppress context. + - EXAMPLE: `raise ConfigError("bad config") from e` +- Reuse standard built-ins instead of inventing equivalents: `ValueError` (right type, bad value), `TypeError` (wrong type/operation), `KeyError`/`IndexError` (both `LookupError`), `AttributeError`, `OSError` family (`FileNotFoundError`, `PermissionError`, `TimeoutError`), `NotImplementedError` (abstract method not overridden — distinct from the `NotImplemented` singleton), `RuntimeError` (generic fallback), `ArithmeticError`/`ZeroDivisionError`. +- Note `ExceptionGroup` and `except*` (3.11+) for handling multiple concurrent exceptions (e.g. `asyncio.TaskGroup`); `e.add_note("...")` (3.11+) to attach context. +- Keep `try` blocks small; prefer raising over returning error sentinels; use `finally`/context managers for cleanup. --- -## Section 4 — Errors & exceptions - -Source: [Built-in Exceptions](https://docs.python.org/3/library/exceptions.html). +## Section 4 — API Design -**Raising:** -- Derive custom exceptions from `Exception`, never `BaseException` (reserved for `KeyboardInterrupt`/`SystemExit`). * -- Define one package-wide base exception; have all app exceptions inherit it so callers can catch the family. -- Pass a meaningful message: `raise ValueError(f"port must be 1-65535, got {port}")`. -- Reuse builtins where they fit: `ValueError` (bad value), `TypeError` (wrong type/arity), `KeyError`/`IndexError`, `OSError` family (`FileNotFoundError`, `PermissionError`), `RuntimeError`, `NotImplementedError` (abstract method — distinct from the `NotImplemented` value), `StopIteration` (do not leak from generators, PEP 479). +Purpose: encode interface shape — data carriers, boundaries, and public surface. -**Catching:** -- Catch the most specific type; never bare `except:` (swallows `KeyboardInterrupt`/`SystemExit`) and never `except BaseException`; use `except Exception` only when you must be broad. * -- Order `except` clauses specific → general. -- Never silently `pass` a caught exception — log or re-raise (the Zen: errors should never pass silently). +Rules to write (Protocols from PEP 544; the rest from canonical stdlib knowledge — the research brief flags dataclasses and `functools` as gaps to fill from primary sources, supplied here distilled): -**Chaining:** -- `raise NewError(...) from original` sets `__cause__` (always shown). * -- `raise ... from None` suppresses irrelevant internal context. -- Implicit `__context__` is set when raising inside an `except`/`finally`. +- Prefer `typing.Protocol` for duck-typed interfaces at boundaries: a class conforms by shape (methods/attributes), no inheritance or registration needed. + - EXAMPLE: + ```python + from typing import Protocol + class Readable(Protocol): + def read(self, n: int) -> bytes: ... + def consume(src: Readable) -> bytes: return src.read(10) + ``` + - Prefer Protocol when you cannot modify the implementing classes, want library-agnostic interfaces, or need only static checking. Prefer an ABC when you control the hierarchy and want shared implementation, explicit `register()`, or runtime enforcement. `@runtime_checkable` permits `isinstance` against a Protocol but checks member presence only, not signatures. +- Data carriers: prefer `@dataclasses.dataclass` for plain records; use `frozen=True` for immutable value objects, `slots=True` to cut memory and forbid stray attributes, `kw_only=True` for wide constructors; never use a mutable default — use `field(default_factory=list)`. Mention `attrs`/`pydantic` as third-party alternatives (pydantic for validation/serialization at boundaries). +- Public surface: expose the minimum; mark internals with a leading underscore; declare the intended public API with `__all__` in a module; keep function parameter lists small and prefer keyword-only arguments (`*`) for optional flags. +- Return types: return one type per function where practical; prefer raising over sentinel returns; make illegal states unrepresentable with `Literal`/`Enum` over free strings. +- `functools` idioms: `@functools.cache`/`@lru_cache` for pure expensive calls; `@functools.cached_property` for lazy per-instance values; `functools.partial` over trivial wrapper lambdas; `@functools.wraps` in every decorator to preserve metadata; `functools.singledispatch` for type-dispatched functions. -**Cleanup:** -- `finally` for must-run cleanup; `try`'s `else` clause for code that runs only when no exception occurred; prefer context managers over manual `try/finally`. - -**Exception groups (3.11+):** `raise ExceptionGroup("msg", [e1, e2])` and `except*` for aggregated/concurrent failures (e.g. `asyncio.TaskGroup`); plain `except` for single errors. +--- -Snippets (from research): bare-except→specific+log+raise; lost-cause→`raise ... from e`; LBYL file check→EAFP + `with` + `FileNotFoundError`; `BaseException` custom class→`AppError(Exception)` hierarchy. +## Section 5 — Project Layout & Packaging + +Purpose: encode the single-file `pyproject.toml` build config and the src-layout tree. + +Rules to write (from [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/) and [src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)): + +- Configure everything in one `pyproject.toml`: + - `[build-system]` (PEP 517/518 build interface): `requires` (build-time deps) and `build-backend` (backend import path); always present. + - `[project]` (PEP 621 metadata): `name`, `version` or `dynamic`, `description`, `readme`, `requires-python`, `license`, `authors`, `dependencies`, `[project.optional-dependencies]` (extras), `[project.scripts]` (console entry points), `[project.urls]`. + - `[dependency-groups]` (PEP 735) for dev-only deps that are not published extras. + - `[tool.*]` namespaces for each tool's config. +- Build backends: hatchling (modern PyPA default, `"hatchling.build"`); setuptools (`"setuptools.build_meta"`, `requires=["setuptools>=61"]`); flit-core (minimal pure-Python); pdm-backend. Build with `python -m build` (backend-agnostic; emits sdist `.tar.gz` + wheel `.whl` into `dist/`). +- Use src-layout for anything distributed or seriously tested; it moves import packages under `src/`, which forces an install before import so tests run against the installed copy (the current directory is first on the import path, so a flat layout can silently import the in-tree copy instead). Flat layout is acceptable only for tiny scripts never installed. + - EXAMPLE tree: + ``` + myproject/ + ├── pyproject.toml + ├── README.md + ├── LICENSE + ├── src/ + │ └── mypkg/ + │ ├── __init__.py + │ └── core.py + └── tests/ + └── test_core.py + ``` +- EXAMPLE minimal `pyproject.toml` to include in the rulebook: + ```toml + [build-system] + requires = ["hatchling"] + build-backend = "hatchling.build" + + [project] + name = "mypkg" + version = "0.1.0" + description = "Short summary." + readme = "README.md" + requires-python = ">=3.12" + license = "MIT" + authors = [{ name = "Your Name", email = "you@example.com" }] + dependencies = ["httpx>=0.27"] + + [project.optional-dependencies] + cli = ["typer>=0.12"] + + [project.scripts] + mypkg = "mypkg.cli:main" + + [dependency-groups] + dev = ["pytest>=8", "ruff>=0.6", "mypy>=1.13"] + ``` --- -## Section 5 — Functions, classes & API design +## Section 6 — Dependencies & Environments -Sources: [dataclasses](https://docs.python.org/3/library/dataclasses.html), [functools](https://docs.python.org/3/library/functools.html), [enum](https://docs.python.org/3/library/enum.html), [logging](https://docs.python.org/3/library/logging.html). +Purpose: encode lockfile-driven, reproducible dependency workflows. -**Function API design:** -- Keyword-only options via `*`: `def f(x, *, verbose=False)`. -- Positional-only via `/` where arg names are irrelevant/unstable. -- Avoid the boolean trap — replace opaque `True/False` flags with enums or separate functions. * -- No mutable default args; sensible defaults so common calls stay short; keep return types consistent (return `[]`, not sometimes `None`). -- Small, single-purpose functions. +Rules to write (from [uv projects](https://docs.astral.sh/uv/concepts/projects/) and [Poetry basics](https://python-poetry.org/docs/basic-usage/)): -**Data modeling — choose the right container:** -- `@dataclass` for data-holding classes (auto `__init__`/`__repr__`/`__eq__`); `frozen=True` for immutable/hashable value objects; `field(default_factory=list)` for mutable defaults; `slots=True` (3.10+) to save memory and block stray attributes; `kw_only=True` for wide/optional-heavy constructors; `field(init=False)` + `__post_init__` for computed fields. -- Selection guide: **dataclass** = records with methods; **NamedTuple** = tiny immutable positional records; **TypedDict** = typed dict shape (JSON/kwargs) with no runtime class; **plain class** = heavy behavior/invariants; **pydantic** = runtime validation/parsing at boundaries (APIs, config). +- Default to a lockfile-based tool; commit the lockfile. Present uv as the modern default and Poetry as the established alternative; a project picks one. +- uv workflow: `pyproject.toml` + committed cross-platform `uv.lock` (universal resolution). `uv add ` edits metadata, updates the lock, and syncs `.venv`; `uv remove` reverses it; `uv sync` makes `.venv` match the lock exactly; `uv lock` re-resolves; `uv run ` runs in the synced env. uv manages the `.venv` and downloads the interpreter automatically. Apps need no `[build-system]`; libraries add one and use src-layout to build/publish (`uv build`, `uv publish`). Dev deps via `[dependency-groups]` (`uv add --dev`). +- Poetry workflow: deps in `[project.dependencies]` (PEP 621, Poetry >=2.0) or legacy `[tool.poetry.dependencies]`; commit `poetry.lock`; `poetry install` respects it, `poetry update` re-resolves; manages an isolated venv (`poetry run`); version constraints `^1.2` (compatible-release, no left-most bump), `~1.2`, PEP 440 ranges; dependency groups under `[tool.poetry.group..dependencies]`. +- Pin `requires-python = ">=3.12"`; keep dev/test deps out of runtime dependencies. +- Security: run a dependency audit in CI (`pip-audit`, or `uv`'s audit tooling) against the lockfile; keep locks current with scheduled updates. (Research brief flags security/audit as a gap; include this bullet from canonical practice.) -**Enums:** replace magic string/int constants with `enum.Enum`; `auto()` when values do not matter; `IntEnum`/`StrEnum` (3.11+) for DB/JSON interop; `Flag`/`IntFlag` for bitwise options. * +--- -**functools idioms:** -- `@functools.cache` (3.9+) / `@lru_cache(maxsize=...)` to memoize pure functions with hashable args. * -- `@cached_property` for compute-once instance attributes (needs `__dict__`, not with `slots`). -- `functools.partial` over wrapper lambdas; `@singledispatch` over `isinstance` chains; always `@functools.wraps(fn)` on decorator wrappers. +## Section 7 — Imports -**General API design:** -- Design for the caller; hard-to-misuse defaults. -- Prefer composition over inheritance; inheritance only for genuine is-a. -- Interfaces: `Protocol` for structural/duck typing without coupling; ABC when you need shared implementation or runtime `isinstance` enforcement. -- Context managers via `@contextlib.contextmanager` or `__enter__`/`__exit__`. -- Return iterators/generators for large/lazy sequences; always define a useful `__repr__`. +Purpose: encode import style and cycle-breaking. -**Logging (not `print`):** -- Use the `logging` module for diagnostics; module-level `logger = logging.getLogger(__name__)`. * -- Library code must not call `basicConfig`/add handlers/set levels — leave that to the application; attach `logging.NullHandler` if needed. -- Lazy `%` formatting: `logger.info("x=%s", x)`, not f-strings; use `logger.exception` inside `except`; correct levels DEBUG/INFO/WARNING/ERROR/CRITICAL. +Rules to write (from the [import system reference](https://docs.python.org/3/reference/import.html), PEP 328 absolute/relative imports, PEP 420 namespace packages): -Snippets (from research): mutable-default fix; boolean trap→keyword-only enum; `print`→`logger.warning("user %s failed", uid)`; hand-memoization→`@functools.cache`. +- Prefer absolute imports (`from mypkg.core import x`); they survive refactors and read clearly. +- Use explicit relative imports only within a package (`from . import util`, `from .core import x`); implicit relative imports do not exist in Python 3. +- One import per line for `import x` statements; group imports as stdlib, third-party, local, each group blank-line separated and alphabetized; place all at the top after the module docstring (Ruff's `I` rules automate this). +- No wildcard imports (`from x import *`); the only accepted use is deliberate re-export in a package `__init__.py` paired with `__all__`. +- Keep `__init__.py` light: minimal side effects, heavy logic in submodules. +- Break import cycles by moving shared code to a lower-level module, restructuring, or deferring the import into the function that needs it. +- PEP 420 namespace packages: a directory without `__init__.py` is an implicit namespace package spanning multiple directories/distributions; add `__init__.py` for a normal package, omit it only when a namespace package is intended. --- -## Section 6 — Imports - -Source: [Import system / PEP 328 / PEP 420](https://docs.python.org/3/reference/import.html). - -- Prefer absolute imports (`from mypkg.sub import thing`) — robust to moves. -- Within a package use explicit relative imports (`from . import x`, `from .mod import y`, `from ..pkg import z`); the `from … import …` form only — `import .mod` is a SyntaxError. * -- No implicit relative imports (Python 3): a bare `import sibling` always means the top-level `sibling`. * -- Keep `__init__.py` light (it runs on every package import); an empty one makes a normal package. -- Break import cycles by deferring the import inside the function that needs it, or by extracting shared code into a lower module both import. * -- PEP 420 namespace packages: a directory without `__init__.py` becomes an implicit namespace package spanning portions — omit `__init__.py` only when you want that; otherwise include it. -- Use `__all__` to declare a module/package public API and control `from pkg import *`; never `import *` in application code (cite Google guide). +## Section 8 — Documentation -Snippets (from research): implicit-relative→explicit-relative; `import .models`→`from . import models`; top-level circular import→deferred import inside function. +Purpose: encode docstring conventions and their enforcement. ---- - -## Section 7 — Docstrings & documentation +Rules to write (from PEP 257 ([Docstring Conventions](https://peps.python.org/pep-0257/))): -Source: [PEP 257](https://peps.python.org/pep-0257/). +- A docstring is a string literal as the first statement of a module, class, or function; use triple double-quotes `"""..."""` even for one-liners. +- Write the summary line in the imperative mood ("Return the sum", not "Returns the sum"), ending with a period. +- One-liner: opening and closing quotes on the same line, no surrounding blank lines. Multi-line: summary line, one blank line, body, closing `"""` on its own line. +- Document every public module, class, and function; enforce with Ruff `D` rules and pick one convention (`google`/`numpy`/`pep257`) project-wide. Structured Google/NumPy sections render via Sphinx `napoleon`. +- EXAMPLE (Google style): + ```python + def fetch(url: str, timeout: float = 5.0) -> bytes: + """Fetch a URL and return its body. -- A docstring is the first statement of a module/function/class/method; becomes `__doc__`. -- Required for all modules and all public functions/classes/methods (including `__init__`); document packages in the `__init__.py` module docstring. -- Always `"""triple double quotes"""`; `r"""..."""` when the text contains backslashes. -- One-line: fits on one line, closing quotes on the same line, phrased as an imperative ("Return the sum…", not "Returns…"), ending with a period. -- Multi-line: summary line, blank line, body, closing `"""` on its own line. -- Google/NumPy sectioned styles (Args/Returns/Raises) render via Sphinx napoleon; pick one project-wide. -- Enforce with Ruff `D` rules; set `convention` under `[tool.ruff.lint.pydocstyle]` (Section 10). + Args: + url: Absolute HTTP(S) URL. + timeout: Seconds before giving up. ---- + Returns: + Raw response bytes. -## Section 8 — Project layout & packaging - -Sources: [Packaging tutorial (PyPUG)](https://packaging.python.org/en/latest/tutorials/packaging-projects/), [src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/). - -- `pyproject.toml` at the root is the single config source: `[build-system]` (PEP 517/518), `[project]` metadata (PEP 621), and `[tool.*]` sections. Build with `python -m build`. -- `[build-system].requires` must include the backend; `build-backend` is the object frontends call. Backend choices: hatchling (`"hatchling.build"`), setuptools (`"setuptools.build_meta"`), flit (`"flit_core.buildapi"`), pdm (`"pdm.backend"`), uv (`"uv_build"`). Recommend hatchling as the modern default. -- `[project]` core fields: `name` (unique PyPI distribution name), `version` (may be dynamic), `description`, `readme`, `requires-python` (e.g. `">=3.10"`), `authors`, `license` (SPDX string, e.g. `"MIT"`), `classifiers`, `dependencies`; links under `[project.urls]`. - -**Include this minimal annotated `pyproject.toml` template:** -```toml -[build-system] -requires = ["hatchling"] # build-time deps (must include the backend) -build-backend = "hatchling.build" - -[project] -name = "example_package" # unique PyPI distribution name -version = "0.0.1" # or dynamic via the backend -description = "A small example package" -readme = "README.md" -requires-python = ">=3.10" -authors = [{ name = "Author", email = "a@example.com" }] -license = "MIT" # SPDX expression -classifiers = [ - "Programming Language :: Python :: 3", - "Operating System :: OS Independent", -] -dependencies = [] # runtime deps - -[project.urls] -Homepage = "https://github.com/you/example_package" -Issues = "https://github.com/you/example_package/issues" -``` - -**src-layout — recommend for anything distributed; include this tree:** -``` -project_root/ -├── pyproject.toml -├── README.md -├── LICENSE -├── src/ -│ └── mypkg/ # dir name == import package name -│ ├── __init__.py -│ └── module.py -└── tests/ # not shipped in the package -``` -- Why src: Python puts the cwd first on `sys.path`, so a flat layout imports the in-tree copy without installing and masks packaging bugs (files missing from the built distribution). `src/` is not on `sys.path`, forcing an install (`pip install -e .` for dev) so you test the installed package. Trade-off: an extra install step. + Raises: + TimeoutError: If the request exceeds ``timeout``. + """ + ``` +- Comments explain why, not what; keep them current with the code. --- -## Section 9 — Dependencies & environments +## Section 9 — Testing -Sources: [uv projects](https://docs.astral.sh/uv/concepts/projects/), [Poetry](https://python-poetry.org/docs/basic-usage/). +Purpose: encode pytest-based testing with fixtures, parametrization, and coverage gates. -**General rules (tool-agnostic):** -- Always commit a lockfile for applications; libraries express version ranges and do not depend on a lockfile. -- Work inside a project-isolated virtual environment, never system Python; never commit `.venv` (add to `.gitignore`), treat it as rebuildable from the lockfile. -- Separate runtime deps from dev/test/tooling deps via dependency groups. -- Security: scan dependencies for known vulnerabilities in CI with `pip-audit` (queries the PyPI/OSV advisory data) or uv's audit; keep lockfiles current and update flagged packages. +Rules to write (from [pytest docs](https://docs.pytest.org/en/stable/)): -**uv (recommend as the modern default):** -- `pyproject.toml` + a committed universal `uv.lock`; never hand-edit the lock. -- `uv add`/`uv remove` edit `pyproject.toml`, update the lock, and sync; `uv sync` makes `.venv` match the lock; `uv lock` re-resolves without touching the env; `uv run` auto-syncs then runs (prefer over manual activation). -- uv manages `.venv` and can pin/download the interpreter (`requires-python`/`.python-version`). -- App vs library: apps rely on the committed lock for reproducibility; libraries define `[build-system]` and use loose ranges. Dev/test deps via `--dev`/`uv add --group`. - -**Poetry (alternative):** -- `poetry.lock` committed; `poetry add`/`install`/`update`. -- Managed per-project virtualenv; run via `poetry run`. -- Constraints: caret `^1.2.3` → `>=1.2.3,<2.0.0`; tilde `~1.2.3` → `>=1.2.3,<1.3.0`. Dependency groups (`[tool.poetry.group.dev.dependencies]`). +- Use pytest with plain `assert` (rich introspection); no `unittest` boilerplate. +- Follow discovery defaults: files `test_*.py` or `*_test.py`, functions `test_*`, classes `Test*` with no `__init__`. +- Use `@pytest.fixture` for setup; choose the narrowest scope that works (`function` default, then `class`/`module`/`package`/`session`); use `yield` for teardown; put shared fixtures in `conftest.py` (auto-discovered, no import). +- Use `@pytest.mark.parametrize` for table-driven cases. + - EXAMPLE: + ```python + @pytest.mark.parametrize("n, expected", [(2, 4), (3, 9), (4, 16)]) + def test_square(n, expected): + assert square(n) == expected + ``` +- Measure coverage with pytest-cov and fail below a threshold: `pytest --cov=pkg --cov-fail-under=90`. +- Run multi-version matrices with `tox` or `nox`. +- Keep tests fast, isolated, and deterministic; one behavior per test; test the installed package (paired with src-layout from Section 5). --- -## Section 10 — Tooling: Ruff, mypy, pre-commit - -Sources: [Ruff](https://docs.astral.sh/ruff/), [mypy](https://mypy.readthedocs.io/en/stable/), [pre-commit](https://pre-commit.com/). - -**Ruff** — one Rust tool replacing Flake8 (+plugins), isort, pydocstyle, pyupgrade, autoflake, and Black. -- `ruff check --fix` (lint + autofix) and `ruff format` (Black-compatible); run both. -- Select rules by prefix: `E`/`W` (pycodestyle), `F` (Pyflakes), `I` (isort), `D` (pydocstyle), `UP` (pyupgrade), `B` (bugbear), `N` (naming), `S` (security/bandit), `SIM`, `C4`, `PTH`. -- Set `target-version` so `UP` rules fire correctly; `line-length` default 88. -- Include this minimal config: -```toml -[tool.ruff] -line-length = 88 -target-version = "py310" - -[tool.ruff.lint] -select = ["E", "F", "I", "B", "UP", "D"] - -[tool.ruff.lint.pydocstyle] -convention = "google" # or "numpy" - -[tool.ruff.format] -quote-style = "double" -``` - -**mypy** — static type checker; gradual typing; run as a CI gate (non-zero exit fails build); `dmypy` for fast local runs. -- Turn on `strict = true` (bundles `disallow_untyped_defs`, `check_untyped_defs`, `no_implicit_optional`, `warn_return_any`, `warn_unused_ignores`, …); adopt incrementally per-module for legacy code. -- Install `types-*` stub packages for untyped third-party libs; use per-module overrides for what you cannot type yet. -- Include this minimal config: -```toml -[tool.mypy] -python_version = "3.10" -strict = true -warn_unused_ignores = true - -[[tool.mypy.overrides]] -module = ["legacy.*", "thirdparty.*"] -ignore_missing_imports = true -disallow_untyped_defs = false -``` - -**pre-commit** — git hooks; `pre-commit install`; run the same config in CI (`pre-commit run --all-files`). Pin each repo `rev`; use official mirrors. -- Include this minimal `.pre-commit-config.yaml`: -```yaml -repos: - - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v4.6.0 - hooks: - - id: trailing-whitespace - - id: end-of-file-fixer - - id: check-yaml - - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.6.0 - hooks: - - id: ruff - args: [--fix] - - id: ruff-format - - repo: https://github.com/pre-commit/mirrors-mypy - rev: v1.11.0 - hooks: - - id: mypy -``` +## Section 10 — Tooling + +Purpose: encode the Ruff + mypy + pre-commit toolchain and its config. + +Rules to write (from [Ruff](https://docs.astral.sh/ruff/), [mypy](https://mypy.readthedocs.io/en/stable/), [pre-commit](https://pre-commit.com/)): + +- Use Ruff for both linting and formatting; it replaces Flake8, isort, pydocstyle, pyupgrade, and Black. Run `ruff check --fix` and `ruff format`; gate CI with `ruff check` and `ruff format --check`. Configure under `[tool.ruff]`; select rule families by prefix (`E`/`W` pycodestyle, `F` Pyflakes, `I` isort, `D` pydocstyle, `UP` pyupgrade, `B` bugbear, `N` naming, `SIM`, `C4`, `PT`). Suppress narrowly with `# noqa: E501` or `per-file-ignores`. + - EXAMPLE: + ```toml + [tool.ruff] + target-version = "py312" + line-length = 88 + [tool.ruff.lint] + select = ["E", "F", "I", "D", "UP", "B", "SIM"] + [tool.ruff.lint.pydocstyle] + convention = "google" + [tool.ruff.lint.per-file-ignores] + "tests/*" = ["D"] + ``` +- Use mypy as a CI gate; configure `[tool.mypy]` with `strict = true`; adopt incrementally by loosening per-module with `[[tool.mypy.overrides]]`; install `types-*` stub packages for typed dependencies; silence untyped third-party libs with `ignore_missing_imports`. + - EXAMPLE: + ```toml + [tool.mypy] + python_version = "3.12" + strict = true + warn_unused_ignores = true + [[tool.mypy.overrides]] + module = ["legacy.*"] + disallow_untyped_defs = false + ``` +- Wire pre-commit: `.pre-commit-config.yaml` with hooks pinned by `rev`; `pre-commit install` sets the git hook; run the same config in CI (`pre-commit run --all-files`) so local equals CI; `pre-commit autoupdate` bumps revs. Use official mirrors: `astral-sh/ruff-pre-commit`, `pre-commit/mirrors-mypy`, and `pre-commit/pre-commit-hooks` for whitespace/EOF/YAML. + - EXAMPLE: + ```yaml + repos: + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v5.0.0 + hooks: + - id: trailing-whitespace + - id: end-of-file-fixer + - id: check-yaml + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.8.0 + hooks: + - id: ruff + args: [--fix] + - id: ruff-format + - repo: https://github.com/pre-commit/mirrors-mypy + rev: v1.13.0 + hooks: + - id: mypy + ``` +- Logging: use the stdlib `logging` module, never `print`, for library/app diagnostics; get a module logger with `logging.getLogger(__name__)`; libraries add no handlers (leave configuration to the application); use `%`-style lazy args (`log.info("x=%s", x)`) not f-strings in log calls. (Research brief flags logging as a gap; include from canonical practice.) --- -## Section 11 — Testing - -Source: [pytest](https://docs.pytest.org/en/stable/). - -**Structure:** files `test_*.py`; functions `test_*`; classes `Test*` (no `__init__`). Put tests in `tests/` outside the package (with src-layout, to test the installed copy). Shared fixtures in `conftest.py` (auto-imported for its dir subtree). Prefer unique test filenames + `importmode=importlib`. +## Section 11 — Performance -**Assertions:** plain `assert expr` (pytest rewrites for rich output); `pytest.raises(Err, match=...)` for exceptions; `pytest.approx` for floats. +Purpose: encode measure-first optimization and the standard fast-path idioms. -**Fixtures:** `@pytest.fixture`, requested by argument name (dependency injection); scopes `function`(default)/`class`/`module`/`package`/`session`; prefer `yield` (setup before, teardown after, reverse order); `autouse=True` sparingly. +Rules to write (from the [Programming FAQ](https://docs.python.org/3/faq/programming.html)): -**Parametrize:** `@pytest.mark.parametrize("arg", [...])` for table-driven tests; `pytest.param(..., marks=, id=)` for per-case marks/ids. - -**Coverage:** `pytest-cov`, `--cov=pkg --cov-report=term-missing`, enforce `--cov-fail-under=90`. - -**Multi-version:** `tox`/`nox` across `py310,py311,py312` in isolated envs. - -**Best practices:** Arrange–Act–Assert; one behavior per test; no branching/loops/logic in tests; isolate side effects with `tmp_path` and `monkeypatch`; keep tests deterministic and independent; register and gate slow tests (`@pytest.mark.slow`, `-m "not slow"`). - -Include these four snippets (from research): a `yield` fixture, a parametrized test, `pytest.raises`+`pytest.approx`, `tmp_path`+`monkeypatch`. +- Profile before optimizing: find hot spots with `cProfile`, microbenchmark with `timeit`; never optimize on a guess. +- Hoist repeated global/attribute/method lookups into locals inside tight loops (locals resolve faster), e.g. `append = result.append`. +- Prefer generators and generator expressions to building intermediate lists when the whole sequence is not needed (saves memory). +- Build strings with `''.join(parts)`, not repeated `+=` in a loop. +- Prefer built-ins and comprehensions (C-level loops) over hand-written Python loops. +- State that readability wins until a profile proves a hot path; keep micro-optimizations local and commented with the reason. --- ## Section 12 — Concurrency -Sources: [asyncio](https://docs.python.org/3/library/asyncio.html), [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html), [multiprocessing](https://docs.python.org/3/library/multiprocessing.html), [PEP 703](https://peps.python.org/pep-0703/). - -**Choose the model by workload (the top rule):** -- I/O-bound (network, disk, subprocess) → asyncio or threads; the GIL releases during blocking I/O so waits overlap. -- CPU-bound → processes for true parallelism; threads do not help because the GIL serializes bytecode. -- Decision rule: many concurrent waits → asyncio; blocking-I/O libraries you cannot rewrite → `ThreadPoolExecutor`; number-crunching → `ProcessPoolExecutor`. +Purpose: encode choosing the concurrency model by workload. -**asyncio:** -- `async def`/`await`; `asyncio.run(main())` is the single entrypoint — do not hand-manage loops. -- Concurrency via `await asyncio.gather(*coros)` or `asyncio.TaskGroup`; awaiting one-by-one is sequential. -- One running loop per thread; never `asyncio.run()` inside a running loop. -- Never do CPU-bound work or call blocking sync functions in a coroutine — it stalls the loop; offload via `await asyncio.to_thread(fn, ...)` or `loop.run_in_executor(pool, fn)`. * +Rules to write (from [asyncio](https://docs.python.org/3/library/asyncio.html), [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html), [multiprocessing](https://docs.python.org/3/library/multiprocessing.html), PEP 703 ([Optional GIL](https://peps.python.org/pep-0703/))): -**concurrent.futures:** `ThreadPoolExecutor` (I/O) and `ProcessPoolExecutor` (CPU) share the `Executor` API (swap by changing one class); `submit` → `Future`, `.result()` re-raises worker errors; `executor.map` preserves order; `as_completed()` yields as they finish; use as a context manager. - -**multiprocessing:** true multi-core; args/returns are pickled and copied (keep payloads small; lambdas/closures are not picklable); guard spawning code with `if __name__ == '__main__':` (required under `spawn`, the macOS/Windows default); `fork` (fast, POSIX, unsafe with threads) vs `spawn` (clean, slower) via `get_context()`; share state via `Value`/`Array`/`shared_memory`/`Queue`/`Manager`, not plain globals. - -**GIL / PEP 703:** the GIL is a mutex letting one thread run bytecode at a time; released during I/O and by many C extensions (NumPy). PEP 703 free-threaded build (3.13+, `--disable-gil`) is experimental, opt-in, and may cost single-thread speed — do not assume it in production. - -Snippet (from research): blocking `requests.get` in a coroutine → `await asyncio.to_thread(...)`. +- Decision rule (lead the section with it): waiting on I/O -> threads or asyncio; computing on CPU -> processes. Specifically: I/O-bound with few/simple tasks -> `ThreadPoolExecutor`; I/O-bound with massive concurrency -> asyncio; CPU-bound -> `ProcessPoolExecutor`/`multiprocessing`; mixed -> asyncio for I/O plus offloaded CPU chunks. +- asyncio: single-threaded cooperative concurrency for I/O; no CPU speedup. Run with `asyncio.run(main())`; never block the loop (no `time.sleep`, blocking I/O, or heavy CPU inside a coroutine — it freezes all tasks); offload blocking work with `await asyncio.to_thread(fn, ...)` or `loop.run_in_executor(...)`; run concurrently with `asyncio.TaskGroup` (3.11+, structured, cancels siblings on error — prefer it) or `asyncio.gather`; keep a reference to `create_task` results so they are not garbage-collected. +- concurrent.futures: one swappable `Executor` API. `ThreadPoolExecutor` for I/O-bound (the GIL is released during blocking I/O, so threads overlap; no pickling, shared memory). `ProcessPoolExecutor` for CPU-bound (true parallelism; args/results are pickled; higher startup/IPC cost). Use `with Executor() as ex:` and `ex.map`/`ex.submit`; `as_completed` for results as they finish; `fut.result()` re-raises worker exceptions. +- multiprocessing: real CPU parallelism via separate processes/GILs; move data through `Queue`/`Pipe` (pickled) or shared memory (`Value`, `Array`, `shared_memory`); know start methods — `spawn` (default on Windows/macOS; fresh interpreter, safe, slower) vs `fork` (fast, but unsafe with threads/locks); always guard the entry point. + - EXAMPLE: + ```python + if __name__ == "__main__": + main() + ``` +- PEP 703 free-threaded build: experimental no-GIL CPython shipped opt-in in 3.13 (`python3.13t`); enables true parallel pure-Python threads but carries single-thread overhead and C-extension compatibility risk. Treat as experimental; for portable code choose processes for CPU parallelism today. --- -## Section 13 — Performance - -Source: [Programming FAQ](https://docs.python.org/3/faq/programming.html). - -- Profile before optimizing: `cProfile` for hotspots, `timeit` for micro-benchmarks — never guess. * -- Cache repeated global/attribute lookups in a local inside hot loops (locals are fastest). -- Prefer generators/comprehensions over building lists you iterate once. -- Build strings with `''.join(parts)`, never `+=` in a loop (quadratic copying) — cross-reference Section 2. -- Lean on builtins and C-implemented stdlib (`sum`, `map`, `itertools`, `collections`) over hand-rolled loops. -- Reach for `numpy`/vectorization for numeric arrays instead of Python-level loops (note as advice, not a hard rule). +## Section 13 — Gotchas & Anti-patterns + +Purpose: collect the recurring traps in one place, each with its fix. + +Rules to write (from the [Programming FAQ](https://docs.python.org/3/faq/programming.html) and the Google style guide; cross-referenced from earlier sections): + +- Mutable default arguments: the default is created once at definition time and shared across calls. + - EXAMPLE: + ```python + def f(items=[]): # BUG: same list every call + items.append(1); return items + def f(items=None): # FIX: sentinel + if items is None: items = [] + items.append(1); return items + ``` +- Late-binding closures: the loop variable is looked up when the closure runs, not when defined. + - EXAMPLE: + ```python + fns = [lambda: i for i in range(3)] # BUG: all return 2 + fns = [lambda i=i: i for i in range(3)] # FIX: bind per iteration + ``` +- Bare `except:` and silent `except ...: pass` — replace with a specific exception and logging/re-raise (Section 3). +- Broad module-level mutable global state — replace with passed-in arguments, dependency injection, or a class; constants are fine. +- Legacy typing imports (`typing.List`, `Optional`, `Union`) — replace with `list`, `X | None`, `X | Y` (Section 2). +- Wildcard imports outside a curated `__init__.py` re-export — replace with explicit imports (Section 7). +- `type(x) == T` — replace with `isinstance(x, T)`. +- Repeated string `+=` in a loop — replace with `''.join(...)`. +- Flat layout for a distributed package — replace with src-layout (Section 5). +- Blocking calls inside a coroutine — replace with `asyncio.to_thread`/executor offload (Section 12). --- -## Section 14 — Gotchas & anti-patterns - -Source: [Programming FAQ](https://docs.python.org/3/faq/programming.html). Each is a bad→good. - -- **Mutable default argument** — evaluated once and shared across calls. Fix: `None` sentinel, create inside. * -- **Late-binding closures** — closures capture the variable, not its value; lambdas in a loop all see the final value. Fix: `lambda i=i: i` default-arg binding. * -- **Identity vs equality** — small ints/interned strings may share identity; compare with `==`, reserve `is` for `None`/`True`/`False`. * -- **Aliasing** — assignment copies references, not objects; use `copy.copy` (shallow) / `copy.deepcopy` (nested) to avoid a mutation on one name changing the other. * -- **Mutating while iterating** — do not add/remove items in a list while iterating it; iterate over `list(x)` or build a new list. * - -Snippets (from research): mutable-default fix, late-binding-closure fix — plus short fixes for the other three. - -Restate at the close: the non-negotiable rules from the top of the file, verbatim. - ---- +## Generation checklist -## Coverage check against the brief +Run after drafting the rulebook; each item returns to its cause on a "no": -Confirm the rulebook covers every brief category: style/naming/idioms/anti-patterns (§1,2,14) · typing (§3) · errors (§4) · API design (§5) · project layout & packaging (§8) · dependencies (§9) · imports (§6) · documentation (§7) · testing (§11) · tooling (§10) · performance (§13) · concurrency (§12). Confirm the brief's named gaps are filled: `pyproject.toml` template (§8), Ruff/mypy configs (§10), src-layout tree (§8), dataclasses/attrs & functools idioms (§5), logging (§5), security/`pip-audit` (§9). +- Every acronym is defined at its first appearance, with a link where one is given above. +- Every rule is an imperative; every prohibition names its replacement. +- Every quantity is a number or range (line lengths, coverage %, counts). +- Every code EXAMPLE from this plan appears in its section. +- Sections appear in the order 1-13; rules sit next to their examples. +- The consistency-outranks-style meta-rule appears at the top. +- No section cites this plan or the research brief as its source. From fb720d221ef83f14de9766dc08c96c07d2b42356 Mon Sep 17 00:00:00 2001 From: Jason Brazeal Date: Thu, 13 Aug 2026 10:46:15 -0700 Subject: [PATCH 04/14] plan after some minor edits --- python-rulebook-plan.md | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/python-rulebook-plan.md b/python-rulebook-plan.md index b964662..e90dc8b 100644 --- a/python-rulebook-plan.md +++ b/python-rulebook-plan.md @@ -58,7 +58,8 @@ Rules to write (from PEP 484 ([Type Hints](https://peps.python.org/pep-0484/)), ```python class Stack[T]: def push(self, item: T) -> None: ... - def first[T](xs: list[T]) -> T: return xs[0] + def first[T](xs: list[T]) -> T: + return xs[0] def bounded[T: Number](x: T) -> T: ... # upper bound def constrained[T: (int, str)](x: T) -> T: ... # constraints type Vector = list[float] # alias statement @@ -70,10 +71,11 @@ Rules to write (from PEP 484 ([Type Hints](https://peps.python.org/pep-0484/)), - EXAMPLE decorator forwarding: ```python def logged[**P, R](f: Callable[P, R]) -> Callable[P, R]: - def w(*a: P.args, **k: P.kwargs) -> R: return f(*a, **k) + def w(*a: P.args, **k: P.kwargs) -> R: + return f(*a, **k) return w ``` -- `from __future__ import annotations` or quoting is needed only to defer evaluation or break import cycles; it is largely unnecessary for the syntax above on 3.12. +- `from __future__` imports must be the first statement in a module (after the docstring). Guidance on `from __future__ import annotations`: it makes all annotations lazily evaluated strings, which lets you reference not-yet-defined names and break annotation-only import cycles, and avoids runtime cost of evaluating annotations; the modern syntax above (`list[int]`, `X | None`, PEP 695 generics) already works on 3.12 without it, so add it only to defer evaluation or break cycles, and be aware it breaks libraries that read annotations at runtime (e.g. `dataclasses` edge cases, `pydantic`, `typing.get_type_hints` needs the module globals). Prefer quoting a single forward reference over the module-wide future import when only one annotation needs deferring. --- @@ -113,7 +115,8 @@ Rules to write (Protocols from PEP 544; the rest from canonical stdlib knowledge from typing import Protocol class Readable(Protocol): def read(self, n: int) -> bytes: ... - def consume(src: Readable) -> bytes: return src.read(10) + def consume(src: Readable) -> bytes: + return src.read(10) ``` - Prefer Protocol when you cannot modify the implementing classes, want library-agnostic interfaces, or need only static checking. Prefer an ABC when you control the hierarchy and want shared implementation, explicit `register()`, or runtime enforcement. `@runtime_checkable` permits `isinstance` against a Protocol but checks member presence only, not signatures. - Data carriers: prefer `@dataclasses.dataclass` for plain records; use `frozen=True` for immutable value objects, `slots=True` to cut memory and forbid stray attributes, `kw_only=True` for wide constructors; never use a mutable default — use `field(default_factory=list)`. Mention `attrs`/`pydantic` as third-party alternatives (pydantic for validation/serialization at boundaries). @@ -181,11 +184,10 @@ Rules to write (from [Packaging Python Projects](https://packaging.python.org/en Purpose: encode lockfile-driven, reproducible dependency workflows. -Rules to write (from [uv projects](https://docs.astral.sh/uv/concepts/projects/) and [Poetry basics](https://python-poetry.org/docs/basic-usage/)): +Rules to write (from [uv projects](https://docs.astral.sh/uv/concepts/projects/)): -- Default to a lockfile-based tool; commit the lockfile. Present uv as the modern default and Poetry as the established alternative; a project picks one. +- Use uv, the lockfile-based tool; commit the lockfile. - uv workflow: `pyproject.toml` + committed cross-platform `uv.lock` (universal resolution). `uv add ` edits metadata, updates the lock, and syncs `.venv`; `uv remove` reverses it; `uv sync` makes `.venv` match the lock exactly; `uv lock` re-resolves; `uv run ` runs in the synced env. uv manages the `.venv` and downloads the interpreter automatically. Apps need no `[build-system]`; libraries add one and use src-layout to build/publish (`uv build`, `uv publish`). Dev deps via `[dependency-groups]` (`uv add --dev`). -- Poetry workflow: deps in `[project.dependencies]` (PEP 621, Poetry >=2.0) or legacy `[tool.poetry.dependencies]`; commit `poetry.lock`; `poetry install` respects it, `poetry update` re-resolves; manages an isolated venv (`poetry run`); version constraints `^1.2` (compatible-release, no left-most bump), `~1.2`, PEP 440 ranges; dependency groups under `[tool.poetry.group..dependencies]`. - Pin `requires-python = ">=3.12"`; keep dev/test deps out of runtime dependencies. - Security: run a dependency audit in CI (`pip-audit`, or `uv`'s audit tooling) against the lockfile; keep locks current with scheduled updates. (Research brief flags security/audit as a gap; include this bullet from canonical practice.) @@ -216,7 +218,7 @@ Rules to write (from PEP 257 ([Docstring Conventions](https://peps.python.org/pe - A docstring is a string literal as the first statement of a module, class, or function; use triple double-quotes `"""..."""` even for one-liners. - Write the summary line in the imperative mood ("Return the sum", not "Returns the sum"), ending with a period. - One-liner: opening and closing quotes on the same line, no surrounding blank lines. Multi-line: summary line, one blank line, body, closing `"""` on its own line. -- Document every public module, class, and function; enforce with Ruff `D` rules and pick one convention (`google`/`numpy`/`pep257`) project-wide. Structured Google/NumPy sections render via Sphinx `napoleon`. +- Document every public module, class, and function; enforce with Ruff `D` rules. Deduce the docstring convention (`google`/`numpy`/`pep257`) from the existing code and match it; do not impose a new one. If the existing code is empty, mixed, or otherwise leaves the convention unclear, ask the human which convention to use rather than guessing. Structured Google/NumPy sections render via Sphinx `napoleon`. - EXAMPLE (Google style): ```python def fetch(url: str, timeout: float = 5.0) -> bytes: From 4f5934ea9914d49e27706cdc0cd14c9ab841c7c4 Mon Sep 17 00:00:00 2001 From: Jason Brazeal Date: Thu, 13 Aug 2026 10:53:40 -0700 Subject: [PATCH 05/14] first draft of rulebook (will be regenerated after plan revisions) --- rulebooks/python-rulebook.md | 459 +++++++++++++++++++++++++++++++++++ 1 file changed, 459 insertions(+) create mode 100644 rulebooks/python-rulebook.md diff --git a/rulebooks/python-rulebook.md b/rulebooks/python-rulebook.md new file mode 100644 index 0000000..8aa4e83 --- /dev/null +++ b/rulebooks/python-rulebook.md @@ -0,0 +1,459 @@ +# Rulebook: Writing & Maintaining Python >=3.12 + + + +You are an AI that writes and maintains Python 3.12+ code. This rulebook encodes the modern generation of Python syntax, idioms, and tooling. Each rule is an imperative. Each prohibition names its replacement. Anything older than the modern form is marked legacy-to-avoid with its replacement. + +## Meta-rule (applies before every other rule) + +- Consistency within an existing project outranks any style rule in this book; when a project already follows a different convention, match that convention instead. +- Apply the rules below only where a project has no established convention of its own. + +## Acronyms + +These are defined here at first use and reused throughout: + +- PEP — [Python Enhancement Proposal](https://peps.python.org/pep-0001/). +- EAFP — "Easier to Ask Forgiveness than Permission." +- LBYL — "Look Before You Leap." +- GIL — [Global Interpreter Lock](https://docs.python.org/3/glossary.html#term-global-interpreter-lock). +- CI — Continuous Integration. +- ABC — [Abstract Base Class](https://docs.python.org/3/library/abc.html). +- TOCTOU — Time-Of-Check to Time-Of-Use. +- IPC — Inter-Process Communication. +- PyPA — [Python Packaging Authority](https://www.pypa.io/). +- PyPUG — [Python Packaging User Guide](https://packaging.python.org/). + +--- + +## Section 1 — Style, Naming & Idioms + +Encode canonical formatting, names, and the idioms that mark code as Pythonic. + +### Formatting + +- Default to the formatter's line width; PEP 8 ([Style Guide](https://peps.python.org/pep-0008/)) caps code at 79 columns and docstrings/comments at 72, while Black and Ruff default to 88; pick one width per project and hold it. +- Indent with 4 spaces per level; never use tabs; never mix tabs and spaces. +- Prefer implicit line continuation inside `()`, `[]`, `{}` over backslashes; align continuations to the opening delimiter or use a hanging indent. +- Put 2 blank lines around top-level functions and classes, 1 blank line between methods; use blank lines inside a function only to separate logical steps. +- Put no space inside brackets; no space before `,`, `;`, `:`, and one space after; put spaces around binary and assignment operators. +- Put no spaces around `=` for keyword arguments and defaults, unless the parameter is annotated, then space it: `def f(x: int = 1)`. +- Treat the slice `:` as an operator with equal spacing on both sides. +- Compare to singletons with `is`: write `if x is None`, never `if x == None`, because identity is the correct test for singletons. +- Start inline comments 2+ spaces after the code, then `# ` and the text. + +### Naming + +- Use `snake_case` for functions, variables, methods, modules, and packages. +- Use `PascalCase` (CapWords) for classes, exceptions, and type variables. +- Use `UPPER_CASE` for module-level constants. +- Use a single leading underscore `_name` to mark a name non-public. +- Use a double leading `__name` only to trigger class name-mangling. +- Use a single trailing underscore `name_` to dodge a keyword clash (`class_`, `type_`). +- Never invent new `__dunder__` names; that namespace is reserved for the language. +- Avoid the single-character names `l`, `O`, `I`; they are confusable with `1` and `0`. +- Name the first method argument `self` for instance methods and `cls` for class methods. +- Prefer `def` over binding a `lambda` to a name; a named `def` gives a useful traceback and signature. + +### Zen (PEP 20, [Zen of Python](https://peps.python.org/pep-0020/)) as rules + +- Prefer explicit over implicit. +- Prefer simple over complex, and flat over nested. +- Prioritize readability. +- Let errors surface; never let them pass silently unless you silence them explicitly. +- Provide one obvious way to do a thing. +- Reject any design whose implementation is hard to explain. + +### EAFP vs LBYL + +- LBYL (Look Before You Leap) tests preconditions before acting: `if key in d: x = d[key]`. +- EAFP (Easier to Ask Forgiveness than Permission) assumes success and catches failure: `try: x = d[key]` / `except KeyError: ...`. +- Prefer EAFP; it reads cleaner and avoids TOCTOU (Time-Of-Check to Time-Of-Use) races where state changes between the check and the use. +- Use LBYL only when failure raises no exception (e.g. a value that is merely falsy) or when the check is cheaper than setting up the `try`. + +### Pythonic idioms to require + +- Test emptiness with truthiness: `if seq:` / `if not seq:`; but write `if x is None:` when `None` must be distinguished from other falsy values. +- Iterate index and value with `enumerate(items)`, not `range(len(items))`. +- Manage every resource with a `with` context manager (`with open(f) as fh:`), which guarantees cleanup on any exit. +- Build collections with comprehensions; use generator expressions `(...)` for large or lazy streams. +- Assemble strings with `''.join(parts)`; never use repeated `+=` in a loop, which is O(n^2) from reallocation. +- Test types with `isinstance(x, T)`, not `type(x) == T`, because `isinstance` respects subclasses. +- Swap with tuple unpacking (`a, b = b, a`) and range-test with chained comparisons (`if 0 < x < 10:`). +- Handle missing keys with `dict.get(k, default)`, `dict.setdefault`, or `collections.defaultdict`, not manual key-presence checks. + +--- + +## Section 2 — Typing + +Encode modern static typing for Python 3.12+, superseding legacy `typing` imports. + +- Prefer builtin and standard generics directly; do not import `typing.List/Dict/Set/Tuple/Type`. Write `list[int]`, `dict[str, int]`, `set[str]`, `tuple[int, ...]`, `type[MyClass]`, and `collections.abc.Sequence[int]` / `collections.abc.Callable[[int], str]` (PEP 585, [Generics in Standard Collections](https://peps.python.org/pep-0585/)). +- Prefer `|` unions over `Union` and `Optional` (PEP 604, [Union types](https://peps.python.org/pep-0604/)): write `int | str` and `str | None`. `isinstance(x, int | str)` works at runtime. +- Read `Optional[X]` as `X | None` (a value that may be `None`), not "argument may be omitted"; a default value does not add `None`, so annotate `def f(x: int | None = None)`. +- Prefer PEP 695 ([Type Parameter Syntax](https://peps.python.org/pep-0695/)) native generics over explicit `TypeVar`: + ```python + class Stack[T]: + def push(self, item: T) -> None: ... + def first[T](xs: list[T]) -> T: + return xs[0] + def bounded[T: Number](x: T) -> T: ... # upper bound + def constrained[T: (int, str)](x: T) -> T: ... # constraints + type Vector = list[float] # alias statement + type Pair[T] = tuple[T, T] # generic alias + ``` +- Reach for `TypeVar` (PEP 484, [Type Hints](https://peps.python.org/pep-0484/)) only for variance control (`covariant=`/`contravariant=`) or when a legacy codebase requires it. +- Treat hints as NOT enforced at runtime; they serve static checkers (mypy/pyright), editors, and docs. A wrong type does not raise from the annotation itself. +- Use the [typing](https://docs.python.org/3/library/typing.html) construct that fits the case: + - `Callable[[Arg], Ret]` from `collections.abc` — annotate a function passed as a value. + - `ParamSpec` (`[**P]`) — forward a callable's full signature through a decorator. + - `Self` — return type for fluent/builder methods and alternative constructors. + - `Final` / `@final` — declare a constant, a non-subclassable class, or a non-overridable method. + - `Literal["r", "w"]` — restrict a value to specific constants. + - `TypedDict` — type a dict with fixed string keys and per-key value types; mark optional keys with `NotRequired` or `total=False`. + - Also reach for `overload`, `cast`, `Annotated`, `NewType`, and `TypeGuard`/`TypeIs` when their specific need arises. +- Forward a decorator's signature with `ParamSpec` (PEP 544 protocols aside, this is the canonical decorator form): + ```python + def logged[**P, R](f: Callable[P, R]) -> Callable[P, R]: + def w(*a: P.args, **k: P.kwargs) -> R: + return f(*a, **k) + return w + ``` +- Place any `from __future__` import as the first statement of a module (after the docstring only). +- Treat `from __future__ import annotations` as a targeted tool, not a default: + - It makes all annotations lazily evaluated strings, letting you reference not-yet-defined names, break annotation-only import cycles, and avoid the runtime cost of evaluating annotations. + - The modern syntax above (`list[int]`, `X | None`, PEP 695 generics) already works on 3.12 without it, so add it only to defer evaluation or break a cycle. + - Know that it breaks libraries that read annotations at runtime (some `dataclasses` edge cases, `pydantic`, and `typing.get_type_hints`, which then needs the module globals). + - Prefer quoting a single forward reference (`"MyClass"`) over the module-wide future import when only one annotation needs deferring. + +--- + +## Section 3 — Errors & Exceptions + +Encode narrow, explicit, chained exception handling; forbid silent failures. + +- Derive custom exceptions from `Exception`, never from `BaseException`, which is reserved for interpreter signals (`SystemExit`, `KeyboardInterrupt`, `GeneratorExit`) that should not normally be caught. +- Group a package's errors under one base class so callers can catch broadly or narrowly: + ```python + class AppError(Exception): ... + class ConfigError(AppError): ... + class NetworkError(AppError): ... + ``` +- Catch specific types, ordered narrow-to-broad (`except FileNotFoundError:` before `except OSError:`). +- Never write a bare `except:`; it catches `KeyboardInterrupt` and `SystemExit`. When breadth is truly needed, write `except Exception:` and log or re-raise; never write `except ...: pass`. +- Chain causes with `raise NewError(...) from original`; use `from None` to deliberately suppress the original context: + ```python + raise ConfigError("bad config") from e + ``` +- Reuse standard built-in exceptions ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html)) instead of inventing equivalents: + - `ValueError` — right type, bad value. + - `TypeError` — wrong type or unsupported operation. + - `KeyError` / `IndexError` — both subclass `LookupError`. + - `AttributeError` — missing attribute. + - `OSError` family — `FileNotFoundError`, `PermissionError`, `TimeoutError`. + - `NotImplementedError` — abstract method not overridden; distinct from the `NotImplemented` singleton returned by comparison methods. + - `RuntimeError` — generic fallback when nothing more specific fits. + - `ArithmeticError` / `ZeroDivisionError` — arithmetic failures. +- Handle multiple concurrent exceptions with `ExceptionGroup` and `except*` (3.11+), e.g. from `asyncio.TaskGroup`; attach context with `e.add_note("...")` (3.11+). +- Keep `try` blocks small; prefer raising over returning error sentinels; put cleanup in `finally` or a context manager. + +--- + +## Section 4 — API Design + +Encode interface shape — data carriers, boundaries, and the public surface. + +- Prefer `typing.Protocol` (PEP 544, [Protocols](https://peps.python.org/pep-0544/)) for duck-typed interfaces at boundaries; a class conforms by shape (methods/attributes) with no inheritance or registration: + ```python + from typing import Protocol + class Readable(Protocol): + def read(self, n: int) -> bytes: ... + def consume(src: Readable) -> bytes: + return src.read(10) + ``` +- Choose Protocol when you cannot modify the implementing classes, want a library-agnostic interface, or need only static checking. +- Choose an ABC (Abstract Base Class) when you control the hierarchy and want shared implementation, explicit `register()`, or runtime enforcement. +- Add `@runtime_checkable` only when you need `isinstance` against a Protocol, and know it checks member presence only, not signatures. +- Prefer `@dataclasses.dataclass` for plain records: + - Add `frozen=True` for immutable value objects. + - Add `slots=True` to cut memory and forbid stray attributes. + - Add `kw_only=True` for wide constructors. + - Never use a mutable default; use `field(default_factory=list)` instead. + - Reach for `attrs` or `pydantic` as third-party alternatives; prefer `pydantic` for validation and serialization at boundaries. +- Expose the minimum public surface; mark internals with a leading underscore; declare the intended public API with `__all__` in each module. +- Keep parameter lists small; make optional flags keyword-only with a bare `*` separator. +- Return one type per function where practical; prefer raising over sentinel returns; make illegal states unrepresentable with `Literal`/`Enum` instead of free strings. +- Apply `functools` idioms: + - `@functools.cache` / `@functools.lru_cache` — memoize pure, expensive calls. + - `@functools.cached_property` — compute a lazy per-instance value once. + - `functools.partial` — bind arguments instead of writing a trivial wrapper lambda. + - `@functools.wraps` — apply in every decorator to preserve the wrapped function's metadata. + - `functools.singledispatch` — dispatch a function on its first argument's type. + +--- + +## Section 5 — Project Layout & Packaging + +Encode the single-file `pyproject.toml` build config and the src-layout tree. Follow the [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/) guide. + +- Configure everything in one `pyproject.toml`: + - `[build-system]` (PEP 517/518 build interface) — always present; set `requires` (build-time deps) and `build-backend` (backend import path). + - `[project]` (PEP 621 metadata) — `name`, `version` or `dynamic`, `description`, `readme`, `requires-python`, `license`, `authors`, `dependencies`, `[project.optional-dependencies]` (extras), `[project.scripts]` (console entry points), `[project.urls]`. + - `[dependency-groups]` (PEP 735) — dev-only deps that are not published extras. + - `[tool.*]` — one namespace per tool's config. +- Pick a build backend and declare it: hatchling (modern PyPA default, `"hatchling.build"`); setuptools (`"setuptools.build_meta"`, `requires=["setuptools>=61"]`); flit-core (minimal pure-Python); or pdm-backend. +- Build with `python -m build`; it is backend-agnostic and emits an sdist `.tar.gz` plus a wheel `.whl` into `dist/`. +- Use src-layout for anything distributed or seriously tested; it moves import packages under `src/`, forcing an install before import so tests run against the installed copy ([src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)). +- Know why flat layout misleads: the current directory is first on the import path, so a flat layout can silently import the in-tree copy instead of the installed one. Use flat layout only for tiny scripts that are never installed. +- Follow this tree: + ``` + myproject/ + ├── pyproject.toml + ├── README.md + ├── LICENSE + ├── src/ + │ └── mypkg/ + │ ├── __init__.py + │ └── core.py + └── tests/ + └── test_core.py + ``` +- Start from this minimal `pyproject.toml`: + ```toml + [build-system] + requires = ["hatchling"] + build-backend = "hatchling.build" + + [project] + name = "mypkg" + version = "0.1.0" + description = "Short summary." + readme = "README.md" + requires-python = ">=3.12" + license = "MIT" + authors = [{ name = "Your Name", email = "you@example.com" }] + dependencies = ["httpx>=0.27"] + + [project.optional-dependencies] + cli = ["typer>=0.12"] + + [project.scripts] + mypkg = "mypkg.cli:main" + + [dependency-groups] + dev = ["pytest>=8", "ruff>=0.6", "mypy>=1.13"] + ``` + +--- + +## Section 6 — Dependencies & Environments + +Encode lockfile-driven, reproducible dependency workflows. Follow the [uv projects](https://docs.astral.sh/uv/concepts/projects/) model. + +- Use uv, the lockfile-based tool, and commit the lockfile. +- Follow the uv workflow: keep `pyproject.toml` plus a committed cross-platform `uv.lock` (universal resolution). + - `uv add ` edits metadata, updates the lock, and syncs `.venv`. + - `uv remove ` reverses it. + - `uv sync` makes `.venv` match the lock exactly. + - `uv lock` re-resolves dependencies. + - `uv run ` runs a command in the synced environment. +- Let uv manage `.venv` and download the interpreter automatically. +- For an application, omit `[build-system]`; for a library, add one and use src-layout to build and publish (`uv build`, `uv publish`). +- Add dev deps to `[dependency-groups]` via `uv add --dev`. +- Pin `requires-python = ">=3.12"`; keep dev and test deps out of runtime `dependencies`. +- Run a dependency audit in CI (Continuous Integration) against the lockfile (`pip-audit`, or uv's audit tooling); keep locks current with scheduled updates. + +--- + +## Section 7 — Imports + +Encode import style and cycle-breaking. Follow the [import system reference](https://docs.python.org/3/reference/import.html), PEP 328 (absolute/relative imports), and PEP 420 (namespace packages). + +- Prefer absolute imports (`from mypkg.core import x`); they survive refactors and read clearly. +- Use explicit relative imports only within a package (`from . import util`, `from .core import x`); implicit relative imports do not exist in Python 3. +- Write one import per line for `import x` statements. +- Group imports as stdlib, third-party, then local, each group blank-line separated and alphabetized, all placed at the top after the module docstring; Ruff's `I` rules automate this. +- Never use wildcard imports (`from x import *`); the only accepted use is deliberate re-export in a package `__init__.py` paired with `__all__`. +- Keep `__init__.py` light: minimal side effects, with heavy logic in submodules. +- Break import cycles by moving shared code to a lower-level module, restructuring, or deferring the import into the function that needs it. +- Treat a directory without `__init__.py` as an implicit PEP 420 namespace package spanning multiple directories/distributions; add `__init__.py` for a normal package and omit it only when a namespace package is intended. + +--- + +## Section 8 — Documentation + +Encode docstring conventions and their enforcement. Follow PEP 257 ([Docstring Conventions](https://peps.python.org/pep-0257/)). + +- Write a docstring as a string literal in the first statement of a module, class, or function; use triple double-quotes `"""..."""` even for one-liners. +- Write the summary line in the imperative mood ("Return the sum", not "Returns the sum"), ending with a period. +- For a one-liner, keep the opening and closing quotes on the same line with no surrounding blank lines. +- For a multi-line docstring, write the summary line, one blank line, the body, then the closing `"""` on its own line. +- Document every public module, class, and function; enforce with Ruff `D` rules. +- Deduce the docstring convention (`google`/`numpy`/`pep257`) from the existing code and match it; do not impose a new one. +- If the existing code is empty, mixed, or otherwise leaves the convention unclear, ask the human which convention to use rather than guessing. +- Know that structured Google/NumPy sections render via Sphinx `napoleon`. +- Follow this Google-style example: + ```python + def fetch(url: str, timeout: float = 5.0) -> bytes: + """Fetch a URL and return its body. + + Args: + url: Absolute HTTP(S) URL. + timeout: Seconds before giving up. + + Returns: + Raw response bytes. + + Raises: + TimeoutError: If the request exceeds ``timeout``. + """ + ``` +- Write comments to explain why, not what, and keep them current with the code. + +--- + +## Section 9 — Testing + +Encode pytest-based testing with fixtures, parametrization, and coverage gates. Follow the [pytest docs](https://docs.pytest.org/en/stable/). + +- Use pytest with plain `assert` (rich introspection); write no `unittest` boilerplate. +- Follow discovery defaults: files `test_*.py` or `*_test.py`, functions `test_*`, classes `Test*` with no `__init__`. +- Use `@pytest.fixture` for setup; choose the narrowest scope that works (`function` default, then `class`/`module`/`package`/`session`); use `yield` for teardown; put shared fixtures in `conftest.py`, which is auto-discovered with no import. +- Use `@pytest.mark.parametrize` for table-driven cases: + ```python + @pytest.mark.parametrize("n, expected", [(2, 4), (3, 9), (4, 16)]) + def test_square(n, expected): + assert square(n) == expected + ``` +- Measure coverage with pytest-cov and fail below a threshold: `pytest --cov=pkg --cov-fail-under=90`. +- Run multi-version matrices with `tox` or `nox`. +- Keep tests fast, isolated, and deterministic; test one behavior per test; test the installed package (paired with src-layout from Section 5). + +--- + +## Section 10 — Tooling + +Encode the Ruff + mypy + pre-commit toolchain and its config. Follow [Ruff](https://docs.astral.sh/ruff/), [mypy](https://mypy.readthedocs.io/en/stable/), and [pre-commit](https://pre-commit.com/). + +- Use Ruff for both linting and formatting; it replaces Flake8, isort, pydocstyle, pyupgrade, and Black. +- Run `ruff check --fix` and `ruff format` locally; gate CI with `ruff check` and `ruff format --check`. +- Configure Ruff under `[tool.ruff]`; select rule families by prefix (`E`/`W` pycodestyle, `F` Pyflakes, `I` isort, `D` pydocstyle, `UP` pyupgrade, `B` bugbear, `N` naming, `SIM`, `C4`, `PT`). +- Suppress narrowly with `# noqa: E501` or `per-file-ignores`, never with a blanket disable. + ```toml + [tool.ruff] + target-version = "py312" + line-length = 88 + [tool.ruff.lint] + select = ["E", "F", "I", "D", "UP", "B", "SIM"] + [tool.ruff.lint.pydocstyle] + convention = "google" + [tool.ruff.lint.per-file-ignores] + "tests/*" = ["D"] + ``` +- Use mypy as a CI gate; configure `[tool.mypy]` with `strict = true`; adopt incrementally by loosening per-module with `[[tool.mypy.overrides]]`; install `types-*` stub packages for typed dependencies; silence untyped third-party libs with `ignore_missing_imports`. + ```toml + [tool.mypy] + python_version = "3.12" + strict = true + warn_unused_ignores = true + [[tool.mypy.overrides]] + module = ["legacy.*"] + disallow_untyped_defs = false + ``` +- Wire pre-commit: put hooks in `.pre-commit-config.yaml` pinned by `rev`; run `pre-commit install` to set the git hook; run the same config in CI (`pre-commit run --all-files`) so local equals CI; run `pre-commit autoupdate` to bump revs. Use official mirrors: `astral-sh/ruff-pre-commit`, `pre-commit/mirrors-mypy`, and `pre-commit/pre-commit-hooks` for whitespace/EOF/YAML. + ```yaml + repos: + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v5.0.0 + hooks: + - id: trailing-whitespace + - id: end-of-file-fixer + - id: check-yaml + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.8.0 + hooks: + - id: ruff + args: [--fix] + - id: ruff-format + - repo: https://github.com/pre-commit/mirrors-mypy + rev: v1.13.0 + hooks: + - id: mypy + ``` +- Use the stdlib `logging` module, never `print`, for library and application diagnostics; get a module logger with `logging.getLogger(__name__)`; in libraries add no handlers and leave configuration to the application; pass `%`-style lazy args (`log.info("x=%s", x)`), not f-strings, in log calls so arguments format only when the record is emitted. + +--- + +## Section 11 — Performance + +Encode measure-first optimization and the standard fast-path idioms. Follow the [Programming FAQ](https://docs.python.org/3/faq/programming.html). + +- Profile before optimizing: find hot spots with `cProfile`, microbenchmark with `timeit`; never optimize on a guess. +- Hoist repeated global, attribute, or method lookups into locals inside tight loops, because locals resolve faster: e.g. `append = result.append`. +- Prefer generators and generator expressions to building intermediate lists when the whole sequence is not needed, to save memory. +- Build strings with `''.join(parts)`, not repeated `+=` in a loop. +- Prefer built-ins and comprehensions (C-level loops) over hand-written Python loops. +- Let readability win until a profile proves a hot path; keep any micro-optimization local and comment it with the reason. + +--- + +## Section 12 — Concurrency + +Encode choosing the concurrency model by workload. Follow [asyncio](https://docs.python.org/3/library/asyncio.html), [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html), and [multiprocessing](https://docs.python.org/3/library/multiprocessing.html). + +- Apply the decision rule first: waiting on I/O -> threads or asyncio; computing on CPU -> processes. Specifically: + - I/O-bound with few or simple tasks -> `ThreadPoolExecutor`. + - I/O-bound with massive concurrency -> asyncio. + - CPU-bound -> `ProcessPoolExecutor` / `multiprocessing`. + - Mixed -> asyncio for I/O plus offloaded CPU chunks. +- Use asyncio as single-threaded cooperative concurrency for I/O; expect no CPU speedup. + - Run with `asyncio.run(main())`. + - Never block the loop; no `time.sleep`, blocking I/O, or heavy CPU inside a coroutine, because that freezes all tasks. + - Offload blocking work with `await asyncio.to_thread(fn, ...)` or `loop.run_in_executor(...)`. + - Run concurrently with `asyncio.TaskGroup` (3.11+, structured, cancels siblings on error — prefer it) or `asyncio.gather`. + - Keep a reference to `create_task` results so they are not garbage-collected mid-flight. +- Use concurrent.futures as one swappable `Executor` API. + - Use `ThreadPoolExecutor` for I/O-bound work; the GIL (Global Interpreter Lock) is released during blocking I/O, so threads overlap, with no pickling and shared memory. + - Use `ProcessPoolExecutor` for CPU-bound work; it gives true parallelism, but args and results are pickled and startup/IPC (Inter-Process Communication) cost is higher. + - Use `with Executor() as ex:` and `ex.map`/`ex.submit`; use `as_completed` for results as they finish; call `fut.result()`, which re-raises worker exceptions. +- Use multiprocessing for real CPU parallelism via separate processes and GILs. + - Move data through `Queue`/`Pipe` (pickled) or shared memory (`Value`, `Array`, `shared_memory`). + - Know the start methods: `spawn` (default on Windows/macOS; fresh interpreter, safe, slower) vs `fork` (fast, but unsafe with threads/locks). + - Always guard the entry point: + ```python + if __name__ == "__main__": + main() + ``` +- Treat the PEP 703 ([Optional GIL](https://peps.python.org/pep-0703/)) free-threaded build as experimental: it is opt-in no-GIL CPython shipped in 3.13 (`python3.13t`), enabling true parallel pure-Python threads but carrying single-thread overhead and C-extension compatibility risk. For portable code, choose processes for CPU parallelism today. + +--- + +## Section 13 — Gotchas & Anti-patterns + +Collect the recurring traps in one place, each with its fix. Follow the [Programming FAQ](https://docs.python.org/3/faq/programming.html) and the [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html). + +- Mutable default arguments — the default is created once at definition time and shared across calls; use a `None` sentinel instead. + ```python + def f(items=[]): # BUG: same list every call + items.append(1); return items + def f(items=None): # FIX: sentinel + if items is None: items = [] + items.append(1); return items + ``` +- Late-binding closures — the loop variable is looked up when the closure runs, not when defined; bind it per iteration with a default argument. + ```python + fns = [lambda: i for i in range(3)] # BUG: all return 2 + fns = [lambda i=i: i for i in range(3)] # FIX: bind per iteration + ``` +- Bare `except:` and silent `except ...: pass` — replace with a specific exception plus logging or re-raise (Section 3). +- Broad module-level mutable global state — replace with passed-in arguments, dependency injection, or a class; module-level constants are fine. +- Legacy typing imports (`typing.List`, `Optional`, `Union`) — replace with `list`, `X | None`, `X | Y` (Section 2). +- Wildcard imports outside a curated `__init__.py` re-export — replace with explicit imports (Section 7). +- `type(x) == T` — replace with `isinstance(x, T)`. +- Repeated string `+=` in a loop — replace with `''.join(...)`. +- Flat layout for a distributed package — replace with src-layout (Section 5). +- Blocking calls inside a coroutine — replace with `asyncio.to_thread` or an executor offload (Section 12). From 54ab1493e315bc553d7c720eb18dca65aece7b45 Mon Sep 17 00:00:00 2001 From: Jason Brazeal Date: Thu, 13 Aug 2026 11:06:17 -0700 Subject: [PATCH 06/14] plan revisions --- python-rulebook-plan.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/python-rulebook-plan.md b/python-rulebook-plan.md index e90dc8b..d6decb6 100644 --- a/python-rulebook-plan.md +++ b/python-rulebook-plan.md @@ -22,7 +22,7 @@ Purpose: encode canonical formatting, names, and the idioms that mark code as Py Rules to write (from PEP 8 ([Style Guide](https://peps.python.org/pep-0008/)), PEP 20 ([Zen of Python](https://peps.python.org/pep-0020/)), the [glossary](https://docs.python.org/3/glossary.html), [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html), [Hitchhiker's Guide](https://docs.python-guide.org/writing/style/)): -- Line length: default to the formatter's width; PEP 8 caps code at 79 columns, docstrings/comments at 72; Black/Ruff default to 88. Pick one width per project and hold it. +- Line length: default to the formatter's width; PEP 8 caps code at 79 columns, docstrings/comments at 72; Black/Ruff default to 88. Detect the width already used in the codebase (from `[tool.ruff]`/`[tool.black]` config or the existing code) and match it. - Indentation: 4 spaces per level; never tabs; never mix. Prefer implicit continuation inside `()[]{}` over backslashes; align to opening delimiter or use a hanging indent. - Naming: `snake_case` for functions, variables, methods, modules, packages; `PascalCase` (CapWords) for classes, exceptions, type variables; `UPPER_CASE` for module-level constants. - Underscores: single leading `_name` marks non-public; double leading `__name` triggers class name-mangling; single trailing `name_` dodges keyword clashes (`class_`, `type_`); never invent `__dunder__` names. @@ -85,6 +85,8 @@ Purpose: encode narrow, explicit, chained exception handling; forbid silent fail Rules to write (from [Built-in Exceptions](https://docs.python.org/3/library/exceptions.html) and PEP 20's "errors should never pass silently"): +- Logging: use the stdlib `logging` module, never `print`, for library/app diagnostics; get a module logger with `logging.getLogger(__name__)`; libraries add no handlers (leave configuration to the application); use `%`-style lazy args (`log.info("x=%s", x)`) not f-strings in log calls. (Research brief flags logging as a gap; include from canonical practice.) + - Derive custom exceptions from `Exception`, never `BaseException` (which is reserved for interpreter signals `SystemExit`, `KeyboardInterrupt`, `GeneratorExit` that should not normally be caught). - Group a package's errors under one base class so callers can catch broadly or narrowly. - EXAMPLE: @@ -130,7 +132,7 @@ Rules to write (Protocols from PEP 544; the rest from canonical stdlib knowledge Purpose: encode the single-file `pyproject.toml` build config and the src-layout tree. -Rules to write (from [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/) and [src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)): +Rules to write (from the PyPUG [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/) tutorial and its [src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/) discussion): - Configure everything in one `pyproject.toml`: - `[build-system]` (PEP 517/518 build interface): `requires` (build-time deps) and `build-backend` (backend import path); always present. @@ -312,7 +314,6 @@ Rules to write (from [Ruff](https://docs.astral.sh/ruff/), [mypy](https://mypy.r hooks: - id: mypy ``` -- Logging: use the stdlib `logging` module, never `print`, for library/app diagnostics; get a module logger with `logging.getLogger(__name__)`; libraries add no handlers (leave configuration to the application); use `%`-style lazy args (`log.info("x=%s", x)`) not f-strings in log calls. (Research brief flags logging as a gap; include from canonical practice.) --- From ba1eacff814ae711579437f7b5de01b908399b91 Mon Sep 17 00:00:00 2001 From: Jason Brazeal Date: Thu, 13 Aug 2026 11:17:37 -0700 Subject: [PATCH 07/14] plan revisions --- python-rulebook-plan.md | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/python-rulebook-plan.md b/python-rulebook-plan.md index d6decb6..590b33f 100644 --- a/python-rulebook-plan.md +++ b/python-rulebook-plan.md @@ -135,7 +135,7 @@ Purpose: encode the single-file `pyproject.toml` build config and the src-layout Rules to write (from the PyPUG [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/) tutorial and its [src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/) discussion): - Configure everything in one `pyproject.toml`: - - `[build-system]` (PEP 517/518 build interface): `requires` (build-time deps) and `build-backend` (backend import path); always present. + - `[build-system]` (PEP 517/518 build interface): `requires` (build-time deps) and `build-backend` (backend import path); always present in a distributable package, and may be omitted only from a pure application managed by uv that is never built or published. - `[project]` (PEP 621 metadata): `name`, `version` or `dynamic`, `description`, `readme`, `requires-python`, `license`, `authors`, `dependencies`, `[project.optional-dependencies]` (extras), `[project.scripts]` (console entry points), `[project.urls]`. - `[dependency-groups]` (PEP 735) for dev-only deps that are not published extras. - `[tool.*]` namespaces for each tool's config. @@ -189,7 +189,7 @@ Purpose: encode lockfile-driven, reproducible dependency workflows. Rules to write (from [uv projects](https://docs.astral.sh/uv/concepts/projects/)): - Use uv, the lockfile-based tool; commit the lockfile. -- uv workflow: `pyproject.toml` + committed cross-platform `uv.lock` (universal resolution). `uv add ` edits metadata, updates the lock, and syncs `.venv`; `uv remove` reverses it; `uv sync` makes `.venv` match the lock exactly; `uv lock` re-resolves; `uv run ` runs in the synced env. uv manages the `.venv` and downloads the interpreter automatically. Apps need no `[build-system]`; libraries add one and use src-layout to build/publish (`uv build`, `uv publish`). Dev deps via `[dependency-groups]` (`uv add --dev`). +- uv workflow: `pyproject.toml` + committed cross-platform `uv.lock` (universal resolution). `uv add ` edits metadata, updates the lock, and syncs `.venv`; `uv remove` reverses it; `uv sync` makes `.venv` match the lock exactly; `uv lock` re-resolves; `uv run ` runs in the synced env. uv manages the `.venv` and downloads the interpreter automatically. A pure application managed by uv may omit `[build-system]` (nothing is built or published); a distributable package always includes one and uses src-layout to build/publish (`uv build`, `uv publish`). Dev deps via `[dependency-groups]` (`uv add --dev`). - Pin `requires-python = ">=3.12"`; keep dev/test deps out of runtime dependencies. - Security: run a dependency audit in CI (`pip-audit`, or `uv`'s audit tooling) against the lockfile; keep locks current with scheduled updates. (Research brief flags security/audit as a gap; include this bullet from canonical practice.) @@ -274,7 +274,7 @@ Rules to write (from [Ruff](https://docs.astral.sh/ruff/), [mypy](https://mypy.r ```toml [tool.ruff] target-version = "py312" - line-length = 88 + line-length = 88 # Black/Ruff default; match the codebase's existing width instead [tool.ruff.lint] select = ["E", "F", "I", "D", "UP", "B", "SIM"] [tool.ruff.lint.pydocstyle] @@ -287,8 +287,7 @@ Rules to write (from [Ruff](https://docs.astral.sh/ruff/), [mypy](https://mypy.r ```toml [tool.mypy] python_version = "3.12" - strict = true - warn_unused_ignores = true + strict = true # already enables warn_unused_ignores and other strict flags [[tool.mypy.overrides]] module = ["legacy.*"] disallow_untyped_defs = false From 660346c8a37a72b1e30f3ae6ef8eec2c331bf9fb Mon Sep 17 00:00:00 2001 From: Jason Brazeal Date: Thu, 13 Aug 2026 11:35:07 -0700 Subject: [PATCH 08/14] plan revisions --- python-rulebook-plan.md | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/python-rulebook-plan.md b/python-rulebook-plan.md index 590b33f..5c89364 100644 --- a/python-rulebook-plan.md +++ b/python-rulebook-plan.md @@ -11,7 +11,9 @@ This plan is the build input for a rulebook. The rulebook's reader is an AI that - For every prohibition, state the replacement behavior beside it. - Quantify every quantity (line length, counts, coverage %); never write "a few" or "short". - Include the code examples marked "EXAMPLE" verbatim in spirit; each is a specification of the desired form, not decoration. -- Overriding meta-rule to state once at the top of the rulebook: consistency within an existing project outranks any style rule here; when a project already follows a different convention, match it. +- Overriding meta-rule: consistency within an existing project outranks any style rule here; when a project already follows a different convention, match it. State this meta-rule at the top of the rulebook, and restate it once at the end (the rulebook runs longer than a page, so the binding rule must reappear at the close). +- Keep invariant words lowercase (e.g. "never", "always"): the cap of three capitalized invariant words per target does not apply here; lowercase "never" is the intended house style throughout this rulebook. +- Link every rule and example back to its official source (PEP, docs.python.org, tool docs, PyPUG). The general convention of stripping provenance and naming no source document does not apply here: this rulebook is a Python style reference whose authority comes from those citations, so keep the source links. - Define these acronyms at first use in the rulebook: PEP ([Python Enhancement Proposal](https://peps.python.org/pep-0001/)); EAFP ("Easier to Ask Forgiveness than Permission"); LBYL ("Look Before You Leap"); GIL ([Global Interpreter Lock](https://docs.python.org/3/glossary.html#term-global-interpreter-lock)); CI (Continuous Integration); ABC ([Abstract Base Class](https://docs.python.org/3/library/abc.html)); TOCTOU (Time-Of-Check to Time-Of-Use); IPC (Inter-Process Communication); PyPA ([Python Packaging Authority](https://www.pypa.io/)); PyPUG ([Python Packaging User Guide](https://packaging.python.org/)). --- @@ -278,7 +280,7 @@ Rules to write (from [Ruff](https://docs.astral.sh/ruff/), [mypy](https://mypy.r [tool.ruff.lint] select = ["E", "F", "I", "D", "UP", "B", "SIM"] [tool.ruff.lint.pydocstyle] - convention = "google" + convention = "google" # match the codebase's existing docstring convention instead (see Section 8) [tool.ruff.lint.per-file-ignores] "tests/*" = ["D"] ``` @@ -391,5 +393,5 @@ Run after drafting the rulebook; each item returns to its cause on a "no": - Every quantity is a number or range (line lengths, coverage %, counts). - Every code EXAMPLE from this plan appears in its section. - Sections appear in the order 1-13; rules sit next to their examples. -- The consistency-outranks-style meta-rule appears at the top. -- No section cites this plan or the research brief as its source. +- The consistency-outranks-style meta-rule appears at the top and is restated once at the end. +- No section cites this plan or the research brief as its source; every rule and example still links back to its official source (PEP, docs.python.org, tool docs, PyPUG). From a66225f8baea2f1f79d24299b6ee8b7eaeb7a80d Mon Sep 17 00:00:00 2001 From: Jason Brazeal Date: Thu, 13 Aug 2026 14:29:42 -0700 Subject: [PATCH 09/14] python rulebook another pass (almost there, only a few things to regen) --- rulebooks/python-rulebook.md | 560 ++++++++++++++++++----------------- 1 file changed, 286 insertions(+), 274 deletions(-) diff --git a/rulebooks/python-rulebook.md b/rulebooks/python-rulebook.md index 8aa4e83..9ab9a27 100644 --- a/rulebooks/python-rulebook.md +++ b/rulebooks/python-rulebook.md @@ -1,215 +1,199 @@ -# Rulebook: Writing & Maintaining Python >=3.12 - - - -You are an AI that writes and maintains Python 3.12+ code. This rulebook encodes the modern generation of Python syntax, idioms, and tooling. Each rule is an imperative. Each prohibition names its replacement. Anything older than the modern form is marked legacy-to-avoid with its replacement. - -## Meta-rule (applies before every other rule) - -- Consistency within an existing project outranks any style rule in this book; when a project already follows a different convention, match that convention instead. -- Apply the rules below only where a project has no established convention of its own. - -## Acronyms - -These are defined here at first use and reused throughout: +--- +description: Write and maintain idiomatic, well-typed, well-packaged Python for version 3.12 and newer +--- -- PEP — [Python Enhancement Proposal](https://peps.python.org/pep-0001/). -- EAFP — "Easier to Ask Forgiveness than Permission." -- LBYL — "Look Before You Leap." -- GIL — [Global Interpreter Lock](https://docs.python.org/3/glossary.html#term-global-interpreter-lock). -- CI — Continuous Integration. -- ABC — [Abstract Base Class](https://docs.python.org/3/library/abc.html). -- TOCTOU — Time-Of-Check to Time-Of-Use. -- IPC — Inter-Process Communication. -- PyPA — [Python Packaging Authority](https://www.pypa.io/). -- PyPUG — [Python Packaging User Guide](https://packaging.python.org/). +# Rulebook: Writing & Maintaining Python 3.12+ ---- +Rules for an AI that writes and maintains Python 3.12 and newer. Every rule is an imperative; every prohibition names the behavior that replaces it; every rule and example links back to its official source (a PEP ([Python Enhancement Proposal](https://peps.python.org/pep-0001/)), docs.python.org, a tool's own docs, or the PyPUG ([Python Packaging User Guide](https://packaging.python.org/))) so its authority is checkable. Read the whole rulebook, then apply the section that governs the code under work. -## Section 1 — Style, Naming & Idioms +**Binding meta-rule:** consistency within an existing project outranks every style rule in this rulebook. When a project already follows a different convention (line width, import order, docstring style, layout), match that convention rather than reformatting to these defaults. Apply this rulebook's defaults only to new projects and to code whose surrounding convention is absent or unclear. -Encode canonical formatting, names, and the idioms that mark code as Pythonic. +The rulebook targets Python 3.12+. It encodes the modern generation of syntax and tooling; where an older pattern still appears in the wild, it is marked legacy-to-avoid and its modern replacement is named beside it. The sections run 1 through 13 in the order below; each section keeps its rules next to its code examples. -### Formatting +## 1. Style, Naming & Idioms -- Default to the formatter's line width; PEP 8 ([Style Guide](https://peps.python.org/pep-0008/)) caps code at 79 columns and docstrings/comments at 72, while Black and Ruff default to 88; pick one width per project and hold it. -- Indent with 4 spaces per level; never use tabs; never mix tabs and spaces. -- Prefer implicit line continuation inside `()`, `[]`, `{}` over backslashes; align continuations to the opening delimiter or use a hanging indent. -- Put 2 blank lines around top-level functions and classes, 1 blank line between methods; use blank lines inside a function only to separate logical steps. -- Put no space inside brackets; no space before `,`, `;`, `:`, and one space after; put spaces around binary and assignment operators. -- Put no spaces around `=` for keyword arguments and defaults, unless the parameter is annotated, then space it: `def f(x: int = 1)`. -- Treat the slice `:` as an operator with equal spacing on both sides. -- Compare to singletons with `is`: write `if x is None`, never `if x == None`, because identity is the correct test for singletons. -- Start inline comments 2+ spaces after the code, then `# ` and the text. +Purpose: encode canonical formatting, names, and the idioms that mark code as Pythonic. -### Naming +- Set line length to the formatter's width; [PEP 8](https://peps.python.org/pep-0008/) caps code at 79 columns and docstrings/comments at 72, while Black and [Ruff](https://docs.astral.sh/ruff/) default to 88; detect the width already used (from `[tool.ruff]`/`[tool.black]` config or the existing code) and match it. +- Indent 4 spaces per level; never use tabs and never mix tabs with spaces, because [PEP 8](https://peps.python.org/pep-0008/) forbids ambiguous indentation. +- Prefer implicit line continuation inside `()`, `[]`, and `{}` over backslashes; align to the opening delimiter or use a hanging indent, per [PEP 8](https://peps.python.org/pep-0008/). +- Name functions, variables, methods, modules, and packages in `snake_case`; name classes, exceptions, and type variables in `PascalCase` (CapWords); name module-level constants in `UPPER_CASE`, per [PEP 8](https://peps.python.org/pep-0008/). +- Mark a non-public name with a single leading underscore `_name`; trigger class name-mangling with a double leading underscore `__name`; dodge a keyword clash with a single trailing underscore (`class_`, `type_`); never invent your own `__dunder__` names, because those are reserved by the language ([PEP 8](https://peps.python.org/pep-0008/)). +- Avoid the single-character names `l`, `O`, and `I` because they are confusable with `1` and `0`; use `self` and `cls` as the first argument of instance and class methods respectively ([PEP 8](https://peps.python.org/pep-0008/)). +- Put 2 blank lines around top-level functions and classes and 1 blank line between methods; use blank lines inside a function only to separate logical steps ([PEP 8](https://peps.python.org/pep-0008/)). +- Put no space inside brackets, no space before `,`, `;`, or `:`, and one space after them; put spaces around binary and assignment operators; put no spaces around `=` for keyword arguments and defaults unless the parameter is annotated, then write `def f(x: int = 1)`; treat a slice `:` as an operator with equal spacing on both sides ([PEP 8](https://peps.python.org/pep-0008/)). +- Compare to singletons with `is`, as in `if x is None`; start an inline comment 2 or more spaces after the code, then `# ` and the text ([PEP 8](https://peps.python.org/pep-0008/)). +- Prefer a `def` statement over binding a `lambda` to a name, because the `def` gives the object a useful `__name__` ([PEP 8](https://peps.python.org/pep-0008/)). -- Use `snake_case` for functions, variables, methods, modules, and packages. -- Use `PascalCase` (CapWords) for classes, exceptions, and type variables. -- Use `UPPER_CASE` for module-level constants. -- Use a single leading underscore `_name` to mark a name non-public. -- Use a double leading `__name` only to trigger class name-mangling. -- Use a single trailing underscore `name_` to dodge a keyword clash (`class_`, `type_`). -- Never invent new `__dunder__` names; that namespace is reserved for the language. -- Avoid the single-character names `l`, `O`, `I`; they are confusable with `1` and `0`. -- Name the first method argument `self` for instance methods and `cls` for class methods. -- Prefer `def` over binding a `lambda` to a name; a named `def` gives a useful traceback and signature. +### Zen aphorisms as rules -### Zen (PEP 20, [Zen of Python](https://peps.python.org/pep-0020/)) as rules +State these [PEP 20](https://peps.python.org/pep-0020/) ("Zen of Python") aphorisms as binding rules: - Prefer explicit over implicit. -- Prefer simple over complex, and flat over nested. -- Prioritize readability. -- Let errors surface; never let them pass silently unless you silence them explicitly. +- Prefer simple over complex. +- Prefer flat over nested. +- Make readability count; readability outranks cleverness. +- never let errors pass silently unless the silencing is explicit. - Provide one obvious way to do a thing. -- Reject any design whose implementation is hard to explain. +- Treat a hard-to-explain implementation as a bad idea, and an easy-to-explain one as possibly good. -### EAFP vs LBYL +### EAFP over LBYL -- LBYL (Look Before You Leap) tests preconditions before acting: `if key in d: x = d[key]`. -- EAFP (Easier to Ask Forgiveness than Permission) assumes success and catches failure: `try: x = d[key]` / `except KeyError: ...`. -- Prefer EAFP; it reads cleaner and avoids TOCTOU (Time-Of-Check to Time-Of-Use) races where state changes between the check and the use. -- Use LBYL only when failure raises no exception (e.g. a value that is merely falsy) or when the check is cheaper than setting up the `try`. +- Define the two styles: LBYL ("Look Before You Leap") tests preconditions first (`if key in d: x = d[key]`); EAFP ("Easier to Ask Forgiveness than Permission") assumes success and catches failure (`try: x = d[key] except KeyError: ...`), per the [glossary](https://docs.python.org/3/glossary.html). +- Prefer EAFP because it reads cleaner and avoids TOCTOU (Time-Of-Check to Time-Of-Use) races where state changes between the check and the use, per the [glossary](https://docs.python.org/3/glossary.html). +- Use LBYL as an escape hatch only when failure raises no exception (for example a value that is merely falsy) or when the check is cheaper than setting up the `try`, per the [glossary](https://docs.python.org/3/glossary.html). ### Pythonic idioms to require -- Test emptiness with truthiness: `if seq:` / `if not seq:`; but write `if x is None:` when `None` must be distinguished from other falsy values. -- Iterate index and value with `enumerate(items)`, not `range(len(items))`. -- Manage every resource with a `with` context manager (`with open(f) as fh:`), which guarantees cleanup on any exit. -- Build collections with comprehensions; use generator expressions `(...)` for large or lazy streams. -- Assemble strings with `''.join(parts)`; never use repeated `+=` in a loop, which is O(n^2) from reallocation. -- Test types with `isinstance(x, T)`, not `type(x) == T`, because `isinstance` respects subclasses. -- Swap with tuple unpacking (`a, b = b, a`) and range-test with chained comparisons (`if 0 < x < 10:`). -- Handle missing keys with `dict.get(k, default)`, `dict.setdefault`, or `collections.defaultdict`, not manual key-presence checks. +- Test emptiness with `if not seq:` and non-emptiness with `if seq:`, but use `if x is None:` when `None` must be distinguished from other falsy values, per the [Hitchhiker's Guide](https://docs.python-guide.org/writing/style/). +- Use `enumerate(items)` for an index-plus-value loop, never `range(len(items))`, per the [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html). +- Wrap every resource in a `with` context manager (`with open(f) as fh:`) to guarantee cleanup, per the [Hitchhiker's Guide](https://docs.python-guide.org/writing/style/). +- Build collections with comprehensions; use generator expressions `(...)` for large or lazy streams to avoid materializing the whole sequence, per the [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html). +- Assemble strings with `''.join(parts)`, never repeated `+=` in a loop, because repeated concatenation is O(n^2) in reallocations ([Hitchhiker's Guide](https://docs.python-guide.org/writing/style/)). +- Test type membership with `isinstance(x, T)` over `type(x) == T`, because `isinstance` respects subclasses ([Google Python Style Guide](https://google.github.io/styleguide/pyguide.html)). +- Swap with tuple unpacking (`a, b = b, a`) and range-test with chained comparisons (`if 0 < x < 10:`), per the [Hitchhiker's Guide](https://docs.python-guide.org/writing/style/). +- Reach for `dict.get(k, default)`, `dict.setdefault`, or `collections.defaultdict` over manual key-presence checks, per the [Hitchhiker's Guide](https://docs.python-guide.org/writing/style/). --- -## Section 2 — Typing +## 2. Typing -Encode modern static typing for Python 3.12+, superseding legacy `typing` imports. +Purpose: encode modern static typing for Python 3.12+, superseding legacy `typing` imports. -- Prefer builtin and standard generics directly; do not import `typing.List/Dict/Set/Tuple/Type`. Write `list[int]`, `dict[str, int]`, `set[str]`, `tuple[int, ...]`, `type[MyClass]`, and `collections.abc.Sequence[int]` / `collections.abc.Callable[[int], str]` (PEP 585, [Generics in Standard Collections](https://peps.python.org/pep-0585/)). -- Prefer `|` unions over `Union` and `Optional` (PEP 604, [Union types](https://peps.python.org/pep-0604/)): write `int | str` and `str | None`. `isinstance(x, int | str)` works at runtime. -- Read `Optional[X]` as `X | None` (a value that may be `None`), not "argument may be omitted"; a default value does not add `None`, so annotate `def f(x: int | None = None)`. -- Prefer PEP 695 ([Type Parameter Syntax](https://peps.python.org/pep-0695/)) native generics over explicit `TypeVar`: +- Prefer builtin and standard-library generics directly; never import `typing.List`/`Dict`/`Set`/`Tuple`/`Type`, because [PEP 585 (Generics in Standard Collections)](https://peps.python.org/pep-0585/) makes the builtins subscriptable. + - Write `list[int]`, `dict[str, int]`, `set[str]`, `tuple[int, ...]`, and `type[MyClass]` instead of their `typing` equivalents. + - Write `collections.abc.Sequence[int]` and `collections.abc.Callable[[int], str]` instead of importing them from `typing`, per the [typing docs](https://docs.python.org/3/library/typing.html). +- Prefer `|` unions over `Union` and `Optional`, per [PEP 604 (Union types)](https://peps.python.org/pep-0604/): write `int | str` and `str | None`, never `Union[int, str]` or `Optional[str]`. + - Read `Optional[X]` as `X | None` (a value that may be `None`), not as "argument may be omitted". + - Annotate `None` defaults explicitly; a default value never adds `None` to the type, so write `def f(x: int | None = None)`. + - Use `isinstance(x, int | str)` at runtime, because `|` unions work there directly. +- Prefer [PEP 695 (Type Parameter Syntax)](https://peps.python.org/pep-0695/) native generics over explicit `TypeVar`, defined in [PEP 484 (Type Hints)](https://peps.python.org/pep-0484/): ```python class Stack[T]: def push(self, item: T) -> None: ... def first[T](xs: list[T]) -> T: return xs[0] - def bounded[T: Number](x: T) -> T: ... # upper bound + def bounded[T: Number](x: T) -> T: ... # upper bound def constrained[T: (int, str)](x: T) -> T: ... # constraints - type Vector = list[float] # alias statement - type Pair[T] = tuple[T, T] # generic alias + type Vector = list[float] # alias statement + type Pair[T] = tuple[T, T] # generic alias ``` -- Reach for `TypeVar` (PEP 484, [Type Hints](https://peps.python.org/pep-0484/)) only for variance control (`covariant=`/`contravariant=`) or when a legacy codebase requires it. -- Treat hints as NOT enforced at runtime; they serve static checkers (mypy/pyright), editors, and docs. A wrong type does not raise from the annotation itself. -- Use the [typing](https://docs.python.org/3/library/typing.html) construct that fits the case: - - `Callable[[Arg], Ret]` from `collections.abc` — annotate a function passed as a value. - - `ParamSpec` (`[**P]`) — forward a callable's full signature through a decorator. - - `Self` — return type for fluent/builder methods and alternative constructors. - - `Final` / `@final` — declare a constant, a non-subclassable class, or a non-overridable method. - - `Literal["r", "w"]` — restrict a value to specific constants. - - `TypedDict` — type a dict with fixed string keys and per-key value types; mark optional keys with `NotRequired` or `total=False`. - - Also reach for `overload`, `cast`, `Annotated`, `NewType`, and `TypeGuard`/`TypeIs` when their specific need arises. -- Forward a decorator's signature with `ParamSpec` (PEP 544 protocols aside, this is the canonical decorator form): + - Reach for `TypeVar` only for variance control (`covariant=`/`contravariant=`) or when a legacy codebase requires it. +- State that hints are not enforced at runtime; they serve static checkers (mypy/pyright), editors, and docs, so wrong types do not raise from the annotation itself, per the [typing docs](https://docs.python.org/3/library/typing.html). +- Use the following construct reference, each with its one use case, from the [typing docs](https://docs.python.org/3/library/typing.html): + - Use `Callable[[Arg], Ret]` from `collections.abc` to type a callable argument or return. + - Use `ParamSpec` (`[**P]`) to forward a callable's full signature in decorators. + - Use `Self` for fluent/builder returns and alternative constructors. + - Use `Final` and `@final` for constants and non-subclassable/non-overridable declarations. + - Use `Literal["r", "w"]` to restrict a value to constant values. + - Use `TypedDict` for dicts with fixed string keys and per-key types, and `NotRequired`/`total=False` for optional keys. + - Reach for `overload`, `cast`, `Annotated`, `NewType`, and `TypeGuard`/`TypeIs` where each applies. +- Forward a decorator's full signature with `ParamSpec`: ```python def logged[**P, R](f: Callable[P, R]) -> Callable[P, R]: def w(*a: P.args, **k: P.kwargs) -> R: return f(*a, **k) return w ``` -- Place any `from __future__` import as the first statement of a module (after the docstring only). -- Treat `from __future__ import annotations` as a targeted tool, not a default: - - It makes all annotations lazily evaluated strings, letting you reference not-yet-defined names, break annotation-only import cycles, and avoid the runtime cost of evaluating annotations. - - The modern syntax above (`list[int]`, `X | None`, PEP 695 generics) already works on 3.12 without it, so add it only to defer evaluation or break a cycle. - - Know that it breaks libraries that read annotations at runtime (some `dataclasses` edge cases, `pydantic`, and `typing.get_type_hints`, which then needs the module globals). - - Prefer quoting a single forward reference (`"MyClass"`) over the module-wide future import when only one annotation needs deferring. +- Place any `from __future__` import as the first statement in a module, after the docstring, per the [__future__ docs](https://docs.python.org/3/library/__future__.html). +- Add `from __future__ import annotations` only to defer evaluation or break cycles, because it makes all annotations lazily evaluated strings, which lets you reference not-yet-defined names and break annotation-only import cycles and avoids the runtime cost of evaluating annotations. + - Do not add it for modern syntax alone; `list[int]`, `X | None`, and PEP 695 generics already work on 3.12 without it. + - Be aware it breaks libraries that read annotations at runtime, such as `dataclasses` edge cases, `pydantic`, and `typing.get_type_hints` (which needs the module globals). + - Prefer quoting a single forward reference over the module-wide future import when only one annotation needs deferring. --- -## Section 3 — Errors & Exceptions +## 3. Errors & Exceptions -Encode narrow, explicit, chained exception handling; forbid silent failures. +Purpose: encode narrow, explicit, chained exception handling; forbid silent failures. + +- Use the stdlib [`logging`](https://docs.python.org/3/library/logging.html) module for all library and application diagnostics; never use `print` for diagnostics, because `print` cannot be filtered, routed, or leveled. +- Get a module logger with `logging.getLogger(__name__)`, because the name mirrors the module hierarchy and lets applications configure loggers by dotted path. +- Add no handlers in a library; leave handler and level configuration to the application, because a library that configures the root logger overrides the application's choices. +- Pass log arguments as `%`-style lazy args (`log.info("x=%s", x)`), not f-strings, because the formatting is skipped when the level is disabled. +- Derive custom exceptions from [`Exception`](https://docs.python.org/3/library/exceptions.html#Exception), never from [`BaseException`](https://docs.python.org/3/library/exceptions.html#BaseException), because `BaseException` is reserved for interpreter signals (`SystemExit`, `KeyboardInterrupt`, `GeneratorExit`) that should not normally be caught. +- Group a package's errors under one base class so callers can catch broadly or narrowly. -- Derive custom exceptions from `Exception`, never from `BaseException`, which is reserved for interpreter signals (`SystemExit`, `KeyboardInterrupt`, `GeneratorExit`) that should not normally be caught. -- Group a package's errors under one base class so callers can catch broadly or narrowly: ```python class AppError(Exception): ... class ConfigError(AppError): ... class NetworkError(AppError): ... ``` -- Catch specific types, ordered narrow-to-broad (`except FileNotFoundError:` before `except OSError:`). -- Never write a bare `except:`; it catches `KeyboardInterrupt` and `SystemExit`. When breadth is truly needed, write `except Exception:` and log or re-raise; never write `except ...: pass`. -- Chain causes with `raise NewError(...) from original`; use `from None` to deliberately suppress the original context: + +- Catch specific types, ordered narrow-to-broad (`except FileNotFoundError:` before `except OSError:`), because the first matching handler wins and a broad handler placed first hides the narrow one. +- never use a bare `except:`, because it catches `KeyboardInterrupt` and `SystemExit`; when breadth is truly needed use `except Exception:` and log or re-raise. +- never write `except ...: pass`; log or re-raise instead, because errors should never pass silently unless explicitly silenced ([PEP 20](https://peps.python.org/pep-0020/), "The Zen of Python"). +- Chain causes with `raise NewError(...) from original` to preserve the original traceback; use `from None` to deliberately suppress context. + ```python raise ConfigError("bad config") from e ``` -- Reuse standard built-in exceptions ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html)) instead of inventing equivalents: - - `ValueError` — right type, bad value. - - `TypeError` — wrong type or unsupported operation. - - `KeyError` / `IndexError` — both subclass `LookupError`. - - `AttributeError` — missing attribute. - - `OSError` family — `FileNotFoundError`, `PermissionError`, `TimeoutError`. - - `NotImplementedError` — abstract method not overridden; distinct from the `NotImplemented` singleton returned by comparison methods. - - `RuntimeError` — generic fallback when nothing more specific fits. - - `ArithmeticError` / `ZeroDivisionError` — arithmetic failures. -- Handle multiple concurrent exceptions with `ExceptionGroup` and `except*` (3.11+), e.g. from `asyncio.TaskGroup`; attach context with `e.add_note("...")` (3.11+). -- Keep `try` blocks small; prefer raising over returning error sentinels; put cleanup in `finally` or a context manager. + +- Reuse standard built-in exceptions instead of inventing equivalents ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html)): + - [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) for a value of the right type but a bad value. + - [`TypeError`](https://docs.python.org/3/library/exceptions.html#TypeError) for a wrong type or unsupported operation. + - [`KeyError`](https://docs.python.org/3/library/exceptions.html#KeyError) and [`IndexError`](https://docs.python.org/3/library/exceptions.html#IndexError) for missing lookups (both subclass [`LookupError`](https://docs.python.org/3/library/exceptions.html#LookupError)). + - [`AttributeError`](https://docs.python.org/3/library/exceptions.html#AttributeError) for a missing attribute. + - the [`OSError`](https://docs.python.org/3/library/exceptions.html#OSError) family, including [`FileNotFoundError`](https://docs.python.org/3/library/exceptions.html#FileNotFoundError), [`PermissionError`](https://docs.python.org/3/library/exceptions.html#PermissionError), and [`TimeoutError`](https://docs.python.org/3/library/exceptions.html#TimeoutError), for operating-system failures. + - [`NotImplementedError`](https://docs.python.org/3/library/exceptions.html#NotImplementedError) when an abstract method is not overridden — distinct from the [`NotImplemented`](https://docs.python.org/3/library/constants.html#NotImplemented) singleton returned by binary special methods. + - [`RuntimeError`](https://docs.python.org/3/library/exceptions.html#RuntimeError) as a generic fallback when no other exception fits. + - [`ArithmeticError`](https://docs.python.org/3/library/exceptions.html#ArithmeticError) and [`ZeroDivisionError`](https://docs.python.org/3/library/exceptions.html#ZeroDivisionError) for numeric failures. +- Use [`ExceptionGroup`](https://docs.python.org/3/library/exceptions.html#ExceptionGroup) and [`except*`](https://docs.python.org/3/reference/compound_stmts.html#except-star) (3.11+) to handle multiple concurrent exceptions, e.g. from [`asyncio.TaskGroup`](https://docs.python.org/3/library/asyncio-task.html#asyncio.TaskGroup). +- Attach context to an in-flight exception with [`e.add_note("...")`](https://docs.python.org/3/library/exceptions.html#BaseException.add_note) (3.11+). +- Keep `try` blocks small so the handler catches only the statement that can fail; prefer raising over returning error sentinels; use `finally` or context managers for cleanup, because cleanup must run whether or not an exception is raised. --- -## Section 4 — API Design +## 4. API Design -Encode interface shape — data carriers, boundaries, and the public surface. +Purpose: encode interface shape — data carriers, boundaries, and public surface. -- Prefer `typing.Protocol` (PEP 544, [Protocols](https://peps.python.org/pep-0544/)) for duck-typed interfaces at boundaries; a class conforms by shape (methods/attributes) with no inheritance or registration: - ```python - from typing import Protocol - class Readable(Protocol): - def read(self, n: int) -> bytes: ... - def consume(src: Readable) -> bytes: +- Prefer `typing.Protocol` ([PEP 544](https://peps.python.org/pep-0544/)) for duck-typed interfaces at boundaries, because a class conforms by shape (methods/attributes) with no inheritance or registration needed. + - EXAMPLE: + ```python + from typing import Protocol + class Readable(Protocol): + def read(self, n: int) -> bytes: ... + def consume(src: Readable) -> bytes: return src.read(10) - ``` -- Choose Protocol when you cannot modify the implementing classes, want a library-agnostic interface, or need only static checking. -- Choose an ABC (Abstract Base Class) when you control the hierarchy and want shared implementation, explicit `register()`, or runtime enforcement. -- Add `@runtime_checkable` only when you need `isinstance` against a Protocol, and know it checks member presence only, not signatures. -- Prefer `@dataclasses.dataclass` for plain records: - - Add `frozen=True` for immutable value objects. - - Add `slots=True` to cut memory and forbid stray attributes. - - Add `kw_only=True` for wide constructors. - - Never use a mutable default; use `field(default_factory=list)` instead. - - Reach for `attrs` or `pydantic` as third-party alternatives; prefer `pydantic` for validation and serialization at boundaries. -- Expose the minimum public surface; mark internals with a leading underscore; declare the intended public API with `__all__` in each module. -- Keep parameter lists small; make optional flags keyword-only with a bare `*` separator. -- Return one type per function where practical; prefer raising over sentinel returns; make illegal states unrepresentable with `Literal`/`Enum` instead of free strings. -- Apply `functools` idioms: - - `@functools.cache` / `@functools.lru_cache` — memoize pure, expensive calls. - - `@functools.cached_property` — compute a lazy per-instance value once. - - `functools.partial` — bind arguments instead of writing a trivial wrapper lambda. - - `@functools.wraps` — apply in every decorator to preserve the wrapped function's metadata. - - `functools.singledispatch` — dispatch a function on its first argument's type. + ``` +- Prefer a Protocol when you cannot modify the implementing classes, want library-agnostic interfaces, or need only static checking; prefer an ABC ([Abstract Base Class](https://docs.python.org/3/library/abc.html)) when you control the hierarchy and want shared implementation, explicit `register()`, or runtime enforcement ([PEP 544](https://peps.python.org/pep-0544/)). +- Apply `@runtime_checkable` only when you need `isinstance` against a Protocol; never rely on it for correctness, because it checks member presence only, not signatures ([PEP 544](https://peps.python.org/pep-0544/)). +- Prefer `@dataclasses.dataclass` for plain records instead of hand-written `__init__`/`__repr__`/`__eq__` ([dataclasses docs](https://docs.python.org/3/library/dataclasses.html)). +- Set `frozen=True` for immutable value objects, because it forbids attribute reassignment and makes instances hashable ([dataclasses docs](https://docs.python.org/3/library/dataclasses.html)). +- Set `slots=True` to cut memory and forbid stray attributes ([dataclasses docs](https://docs.python.org/3/library/dataclasses.html)). +- Set `kw_only=True` for wide constructors, because keyword-only fields remove positional-argument ambiguity ([dataclasses docs](https://docs.python.org/3/library/dataclasses.html)). +- never use a mutable default on a field; use `field(default_factory=list)` instead, because a shared mutable default leaks state across instances ([dataclasses docs](https://docs.python.org/3/library/dataclasses.html#dataclasses.field)). +- Reach for `attrs` or `pydantic` as third-party alternatives when needed, choosing `pydantic` for validation/serialization at boundaries ([dataclasses docs](https://docs.python.org/3/library/dataclasses.html)). +- Expose the minimum public surface; mark internals with a leading underscore ([PEP 8](https://peps.python.org/pep-0008/#descriptive-naming-styles)). +- Declare the intended public API with `__all__` in a module, because it names exactly what re-exports and `from x import *` yield ([PEP 8](https://peps.python.org/pep-0008/#public-and-internal-interfaces)). +- Keep function parameter lists small and prefer keyword-only arguments (`*`) for optional flags, because named flags read clearly at call sites ([PEP 8](https://peps.python.org/pep-0008/#function-and-method-arguments)). +- Return one type per function where practical, because a stable return type keeps callers simple ([typing docs](https://docs.python.org/3/library/typing.html)). +- Prefer raising over sentinel returns, because errors should never pass silently ([built-in exceptions](https://docs.python.org/3/library/exceptions.html)). +- Make illegal states unrepresentable with `Literal` or `Enum` over free strings, because a closed set of values is checkable statically ([enum docs](https://docs.python.org/3/library/enum.html)). +- Apply `@functools.cache` or `@functools.lru_cache` for pure expensive calls, because they memoize results by arguments ([functools docs](https://docs.python.org/3/library/functools.html#functools.cache)). +- Apply `@functools.cached_property` for lazy per-instance values computed once ([functools docs](https://docs.python.org/3/library/functools.html#functools.cached_property)). +- Prefer `functools.partial` over trivial wrapper lambdas for pre-binding arguments ([functools docs](https://docs.python.org/3/library/functools.html#functools.partial)). +- Apply `@functools.wraps` in every decorator to preserve the wrapped function's metadata (name, docstring, `__wrapped__`) ([functools docs](https://docs.python.org/3/library/functools.html#functools.wraps)). +- Use `functools.singledispatch` for type-dispatched functions instead of manual `isinstance` chains ([functools docs](https://docs.python.org/3/library/functools.html#functools.singledispatch)). --- -## Section 5 — Project Layout & Packaging +## 5. Project Layout & Packaging + +Purpose: encode the single-file `pyproject.toml` build config and the src-layout tree. -Encode the single-file `pyproject.toml` build config and the src-layout tree. Follow the [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/) guide. +- Configure everything in one `pyproject.toml`; never split build, metadata, and tool config across ad-hoc files, because a single source of truth keeps the project readable and reproducible (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). +- Declare `[build-system]` — the PEP 517/518 ([Build System Interface](https://peps.python.org/pep-0517/) / [Build Dependencies](https://peps.python.org/pep-0518/)) build interface — with `requires` (build-time dependencies) and `build-backend` (the backend import path); always include it in a distributable package, and omit it only from a pure application managed by uv that is never built or published (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). +- Declare `[project]` — PEP 621 ([Project Metadata](https://peps.python.org/pep-0621/)) metadata — with `name`, `version` or `dynamic`, `description`, `readme`, `requires-python`, `license`, `authors`, `dependencies`, `[project.optional-dependencies]` (extras), `[project.scripts]` (console entry points), and `[project.urls]` (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). +- Declare dev-only dependencies that are not published extras under `[dependency-groups]` — PEP 735 ([Dependency Groups](https://peps.python.org/pep-0735/)) (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). +- Place each tool's configuration under its own `[tool.*]` namespace, never in a separate config file, because one file keeps provenance and settings together (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). +- Choose a build backend and name it in `build-backend`: hatchling (modern PyPA — Python Packaging Authority ([PyPA](https://www.pypa.io/)) — default, `"hatchling.build"`); setuptools (`"setuptools.build_meta"`, with `requires=["setuptools>=61"]`); flit-core (minimal pure-Python); or pdm-backend (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). +- Build with `python -m build`; it is backend-agnostic and emits an sdist `.tar.gz` plus a wheel `.whl` into `dist/` (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). +- Use src-layout for anything distributed or seriously tested; it moves import packages under `src/`, which forces an install before import so tests run against the installed copy (see [src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)). +- never rely on a flat layout for a distributed package, because the current directory is first on the import path and a flat layout can silently import the in-tree copy instead of the installed one; use flat layout only for tiny scripts that are never installed (see [src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)). +- Lay the tree out as follows (see [src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)): -- Configure everything in one `pyproject.toml`: - - `[build-system]` (PEP 517/518 build interface) — always present; set `requires` (build-time deps) and `build-backend` (backend import path). - - `[project]` (PEP 621 metadata) — `name`, `version` or `dynamic`, `description`, `readme`, `requires-python`, `license`, `authors`, `dependencies`, `[project.optional-dependencies]` (extras), `[project.scripts]` (console entry points), `[project.urls]`. - - `[dependency-groups]` (PEP 735) — dev-only deps that are not published extras. - - `[tool.*]` — one namespace per tool's config. -- Pick a build backend and declare it: hatchling (modern PyPA default, `"hatchling.build"`); setuptools (`"setuptools.build_meta"`, `requires=["setuptools>=61"]`); flit-core (minimal pure-Python); or pdm-backend. -- Build with `python -m build`; it is backend-agnostic and emits an sdist `.tar.gz` plus a wheel `.whl` into `dist/`. -- Use src-layout for anything distributed or seriously tested; it moves import packages under `src/`, forcing an install before import so tests run against the installed copy ([src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)). -- Know why flat layout misleads: the current directory is first on the import path, so a flat layout can silently import the in-tree copy instead of the installed one. Use flat layout only for tiny scripts that are never installed. -- Follow this tree: ``` myproject/ ├── pyproject.toml @@ -222,7 +206,9 @@ Encode the single-file `pyproject.toml` build config and the src-layout tree. Fo └── tests/ └── test_core.py ``` -- Start from this minimal `pyproject.toml`: + +- Write a minimal single-file `pyproject.toml` in this shape (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)): + ```toml [build-system] requires = ["hatchling"] @@ -250,53 +236,51 @@ Encode the single-file `pyproject.toml` build config and the src-layout tree. Fo --- -## Section 6 — Dependencies & Environments +## 6. Dependencies & Environments -Encode lockfile-driven, reproducible dependency workflows. Follow the [uv projects](https://docs.astral.sh/uv/concepts/projects/) model. +Purpose: encode lockfile-driven, reproducible dependency workflows. -- Use uv, the lockfile-based tool, and commit the lockfile. -- Follow the uv workflow: keep `pyproject.toml` plus a committed cross-platform `uv.lock` (universal resolution). - - `uv add ` edits metadata, updates the lock, and syncs `.venv`. - - `uv remove ` reverses it. - - `uv sync` makes `.venv` match the lock exactly. - - `uv lock` re-resolves dependencies. - - `uv run ` runs a command in the synced environment. -- Let uv manage `.venv` and download the interpreter automatically. -- For an application, omit `[build-system]`; for a library, add one and use src-layout to build and publish (`uv build`, `uv publish`). -- Add dev deps to `[dependency-groups]` via `uv add --dev`. -- Pin `requires-python = ">=3.12"`; keep dev and test deps out of runtime `dependencies`. -- Run a dependency audit in CI (Continuous Integration) against the lockfile (`pip-audit`, or uv's audit tooling); keep locks current with scheduled updates. +- Use [uv](https://docs.astral.sh/uv/concepts/projects/), the lockfile-based tool, for dependency and environment management; commit the lockfile, because a committed lock is what makes installs reproducible. +- Drive the project from a `pyproject.toml` plus a committed cross-platform `uv.lock` ([universal resolution](https://docs.astral.sh/uv/concepts/projects/)), so one lock resolves for every platform. +- Add dependencies with [`uv add `](https://docs.astral.sh/uv/concepts/projects/); it edits the `pyproject.toml` metadata, updates the lock, and syncs `.venv` in one step. +- Remove dependencies with [`uv remove `](https://docs.astral.sh/uv/concepts/projects/), which reverses `uv add` across metadata, lock, and `.venv`. +- Run [`uv sync`](https://docs.astral.sh/uv/concepts/projects/) to make `.venv` match the lock exactly; never hand-edit the environment, because sync is the source of truth. +- Run [`uv lock`](https://docs.astral.sh/uv/concepts/projects/) to re-resolve dependencies when you want updated versions. +- Run commands with [`uv run `](https://docs.astral.sh/uv/concepts/projects/) so they execute in the synced environment. +- Let [uv](https://docs.astral.sh/uv/concepts/projects/) manage the `.venv` and download the interpreter automatically; do not create or activate virtual environments by hand. +- Omit `[build-system]` only from a pure application managed by uv, because nothing is built or published; a distributable package always includes one and uses src-layout to build and publish (`uv build`, `uv publish`) (see Section 5). +- Declare dev-only dependencies through [`[dependency-groups]`](https://docs.astral.sh/uv/concepts/projects/) with `uv add --dev`; never place dev or test tools in the runtime `dependencies`, because they must not ship to consumers. +- Pin [`requires-python = ">=3.12"`](https://docs.astral.sh/uv/concepts/projects/) in `[project]`. +- Run a dependency audit in CI (Continuous Integration) against the lockfile with [`pip-audit`](https://pypi.org/project/pip-audit/) or [uv's audit tooling](https://docs.astral.sh/uv/concepts/projects/), and keep locks current with scheduled updates, because a stale lock accumulates unpatched vulnerabilities. --- -## Section 7 — Imports +## 7. Imports -Encode import style and cycle-breaking. Follow the [import system reference](https://docs.python.org/3/reference/import.html), PEP 328 (absolute/relative imports), and PEP 420 (namespace packages). +Purpose: encode import style and cycle-breaking. -- Prefer absolute imports (`from mypkg.core import x`); they survive refactors and read clearly. -- Use explicit relative imports only within a package (`from . import util`, `from .core import x`); implicit relative imports do not exist in Python 3. -- Write one import per line for `import x` statements. -- Group imports as stdlib, third-party, then local, each group blank-line separated and alphabetized, all placed at the top after the module docstring; Ruff's `I` rules automate this. -- Never use wildcard imports (`from x import *`); the only accepted use is deliberate re-export in a package `__init__.py` paired with `__all__`. -- Keep `__init__.py` light: minimal side effects, with heavy logic in submodules. +- Prefer absolute imports (`from mypkg.core import x`); they survive refactors and read clearly, per the [import system reference](https://docs.python.org/3/reference/import.html) and [PEP 328](https://peps.python.org/pep-0328/). +- Use explicit relative imports only within a package (`from . import util`, `from .core import x`); implicit relative imports do not exist in Python 3, per [PEP 328](https://peps.python.org/pep-0328/). +- Write one import per line for `import x` statements; group imports as stdlib, third-party, local, each group blank-line separated and alphabetized; place all at the top after the module docstring, because [Ruff's `I` rules](https://docs.astral.sh/ruff/rules/#isort-i) automate this. +- never write wildcard imports (`from x import *`); the only accepted use is deliberate re-export in a package `__init__.py` paired with `__all__`, per the [import system reference](https://docs.python.org/3/reference/import.html). +- Keep `__init__.py` light: minimal side effects, heavy logic in submodules, because import-time work runs on every package import. - Break import cycles by moving shared code to a lower-level module, restructuring, or deferring the import into the function that needs it. -- Treat a directory without `__init__.py` as an implicit PEP 420 namespace package spanning multiple directories/distributions; add `__init__.py` for a normal package and omit it only when a namespace package is intended. +- Treat a directory without `__init__.py` as an implicit [PEP 420](https://peps.python.org/pep-0420/) namespace package spanning multiple directories/distributions; add `__init__.py` for a normal package, and omit it only when a namespace package is intended. --- -## Section 8 — Documentation +## 8. Documentation -Encode docstring conventions and their enforcement. Follow PEP 257 ([Docstring Conventions](https://peps.python.org/pep-0257/)). +Purpose: encode docstring conventions and their enforcement. -- Write a docstring as a string literal in the first statement of a module, class, or function; use triple double-quotes `"""..."""` even for one-liners. -- Write the summary line in the imperative mood ("Return the sum", not "Returns the sum"), ending with a period. -- For a one-liner, keep the opening and closing quotes on the same line with no surrounding blank lines. -- For a multi-line docstring, write the summary line, one blank line, the body, then the closing `"""` on its own line. -- Document every public module, class, and function; enforce with Ruff `D` rules. -- Deduce the docstring convention (`google`/`numpy`/`pep257`) from the existing code and match it; do not impose a new one. -- If the existing code is empty, mixed, or otherwise leaves the convention unclear, ask the human which convention to use rather than guessing. -- Know that structured Google/NumPy sections render via Sphinx `napoleon`. -- Follow this Google-style example: +- Write a docstring as a string literal placed as the first statement of a module, class, or function; use triple double-quotes `"""..."""` even for one-liners, per [PEP 257](https://peps.python.org/pep-0257/). +- Write the summary line in the imperative mood ("Return the sum", not "Returns the sum"), ending with a period, because [PEP 257](https://peps.python.org/pep-0257/) prescribes the imperative form. +- For a one-liner, keep opening and closing quotes on the same line with no surrounding blank lines; for a multi-line docstring, write the summary line, one blank line, the body, then the closing `"""` on its own line, per [PEP 257](https://peps.python.org/pep-0257/). +- Document every public module, class, and function; enforce with Ruff `D` rules, per [PEP 257](https://peps.python.org/pep-0257/). +- Deduce the docstring convention (`google`/`numpy`/`pep257`) from the existing code and match it; never impose a new one. +- When the existing code is empty, mixed, or otherwise leaves the convention unclear, ask the human which convention to use rather than guessing. +- Render structured Google/NumPy sections via Sphinx `napoleon`. +- EXAMPLE (Google style): ```python def fetch(url: str, timeout: float = 5.0) -> bytes: """Fetch a URL and return its body. @@ -312,59 +296,72 @@ Encode docstring conventions and their enforcement. Follow PEP 257 ([Docstring C TimeoutError: If the request exceeds ``timeout``. """ ``` -- Write comments to explain why, not what, and keep them current with the code. +- Write comments to explain why, not what, and keep them current with the code, because a stale comment misleads more than no comment. --- -## Section 9 — Testing +## 9. Testing -Encode pytest-based testing with fixtures, parametrization, and coverage gates. Follow the [pytest docs](https://docs.pytest.org/en/stable/). +Purpose: encode pytest-based testing with fixtures, parametrization, and coverage gates. -- Use pytest with plain `assert` (rich introspection); write no `unittest` boilerplate. -- Follow discovery defaults: files `test_*.py` or `*_test.py`, functions `test_*`, classes `Test*` with no `__init__`. -- Use `@pytest.fixture` for setup; choose the narrowest scope that works (`function` default, then `class`/`module`/`package`/`session`); use `yield` for teardown; put shared fixtures in `conftest.py`, which is auto-discovered with no import. -- Use `@pytest.mark.parametrize` for table-driven cases: - ```python - @pytest.mark.parametrize("n, expected", [(2, 4), (3, 9), (4, 16)]) - def test_square(n, expected): - assert square(n) == expected - ``` -- Measure coverage with pytest-cov and fail below a threshold: `pytest --cov=pkg --cov-fail-under=90`. -- Run multi-version matrices with `tox` or `nox`. -- Keep tests fast, isolated, and deterministic; test one behavior per test; test the installed package (paired with src-layout from Section 5). +- Use [pytest](https://docs.pytest.org/en/stable/) with plain `assert` statements, because pytest rewrites assertions to give rich introspection on failure; never write `unittest` boilerplate (`self.assertEqual`, `TestCase` subclasses) instead. +- Follow pytest's [discovery defaults](https://docs.pytest.org/en/stable/explanation/goodpractices.html#conventions-for-python-test-discovery): name files `test_*.py` or `*_test.py`, name test functions `test_*`, and name test classes `Test*` with no `__init__` method, because a constructor blocks pytest from collecting the class. +- Use [`@pytest.fixture`](https://docs.pytest.org/en/stable/how-to/fixtures.html) for setup; choose the narrowest scope that works, escalating only as needed through `function` (default), `class`, `module`, `package`, then `session`, because a wider scope leaks state across tests. +- Use `yield` inside a fixture for teardown, because code after the `yield` runs on cleanup even when the test fails. +- Put shared fixtures in [`conftest.py`](https://docs.pytest.org/en/stable/reference/fixtures.html#conftest-py-sharing-fixtures-across-multiple-files); pytest auto-discovers it, so never import it explicitly. +- Use [`@pytest.mark.parametrize`](https://docs.pytest.org/en/stable/how-to/parametrize.html) for table-driven cases, because each row reports as its own test instead of stopping at the first failure. + - EXAMPLE: + ```python + @pytest.mark.parametrize("n, expected", [(2, 4), (3, 9), (4, 16)]) + def test_square(n, expected): + assert square(n) == expected + ``` +- Measure coverage with [pytest-cov](https://pytest-cov.readthedocs.io/en/latest/) and fail the build below a threshold: `pytest --cov=pkg --cov-fail-under=90`. +- Run multi-version matrices with [`tox`](https://tox.wiki/en/latest/) or [`nox`](https://nox.thea.codes/en/stable/), because they exercise the code against every supported interpreter. +- Keep tests fast, isolated, and deterministic; assert one behavior per test, because a focused test names its own failure. +- Test the installed package, not the in-tree source, paired with the src-layout from Section 5, because that verifies what users actually receive. --- -## Section 10 — Tooling +## 10. Tooling -Encode the Ruff + mypy + pre-commit toolchain and its config. Follow [Ruff](https://docs.astral.sh/ruff/), [mypy](https://mypy.readthedocs.io/en/stable/), and [pre-commit](https://pre-commit.com/). +Purpose: encode the [Ruff](https://docs.astral.sh/ruff/) + [mypy](https://mypy.readthedocs.io/en/stable/) + [pre-commit](https://pre-commit.com/) toolchain and its config. -- Use Ruff for both linting and formatting; it replaces Flake8, isort, pydocstyle, pyupgrade, and Black. -- Run `ruff check --fix` and `ruff format` locally; gate CI with `ruff check` and `ruff format --check`. -- Configure Ruff under `[tool.ruff]`; select rule families by prefix (`E`/`W` pycodestyle, `F` Pyflakes, `I` isort, `D` pydocstyle, `UP` pyupgrade, `B` bugbear, `N` naming, `SIM`, `C4`, `PT`). -- Suppress narrowly with `# noqa: E501` or `per-file-ignores`, never with a blanket disable. +- Use [Ruff](https://docs.astral.sh/ruff/) for both linting and formatting, because it replaces Flake8, isort, pydocstyle, pyupgrade, and Black in one tool. +- Run `ruff check --fix` and `ruff format` locally to lint and format. +- Gate CI with `ruff check` and `ruff format --check`, because `--check` reports formatting drift without rewriting files. +- Configure Ruff under `[tool.ruff]` in `pyproject.toml`. +- Select rule families by prefix: `E`/`W` (pycodestyle), `F` (Pyflakes), `I` (isort), `D` (pydocstyle), `UP` (pyupgrade), `B` (bugbear), `N` (naming), `SIM`, `C4`, `PT`. +- Suppress violations narrowly with `# noqa: E501` on the line or `per-file-ignores` in config; never disable a rule globally to silence one line. ```toml [tool.ruff] target-version = "py312" - line-length = 88 + line-length = 88 # Black/Ruff default; match the codebase's existing width instead [tool.ruff.lint] select = ["E", "F", "I", "D", "UP", "B", "SIM"] [tool.ruff.lint.pydocstyle] - convention = "google" + convention = "google" # match the codebase's existing docstring convention instead (see Section 8) [tool.ruff.lint.per-file-ignores] "tests/*" = ["D"] ``` -- Use mypy as a CI gate; configure `[tool.mypy]` with `strict = true`; adopt incrementally by loosening per-module with `[[tool.mypy.overrides]]`; install `types-*` stub packages for typed dependencies; silence untyped third-party libs with `ignore_missing_imports`. +- Use [mypy](https://mypy.readthedocs.io/en/stable/) as a CI gate for static type checking. +- Configure mypy under `[tool.mypy]` with `strict = true`, because strict mode already enables `warn_unused_ignores` and the other strict flags. +- Adopt mypy incrementally by loosening per-module with `[[tool.mypy.overrides]]`, rather than weakening the global config. +- Install `types-*` stub packages for typed dependencies so their signatures are checked. +- Silence untyped third-party libraries with `ignore_missing_imports`; never suppress errors in your own code this way, instead add annotations or ship stubs so mypy checks them. ```toml [tool.mypy] python_version = "3.12" - strict = true - warn_unused_ignores = true + strict = true # already enables warn_unused_ignores and other strict flags [[tool.mypy.overrides]] module = ["legacy.*"] disallow_untyped_defs = false ``` -- Wire pre-commit: put hooks in `.pre-commit-config.yaml` pinned by `rev`; run `pre-commit install` to set the git hook; run the same config in CI (`pre-commit run --all-files`) so local equals CI; run `pre-commit autoupdate` to bump revs. Use official mirrors: `astral-sh/ruff-pre-commit`, `pre-commit/mirrors-mypy`, and `pre-commit/pre-commit-hooks` for whitespace/EOF/YAML. +- Wire [pre-commit](https://pre-commit.com/) with a `.pre-commit-config.yaml` whose hooks are pinned by `rev`, because pinned revisions make hook runs reproducible. +- Run `pre-commit install` to set the git hook so checks fire on every commit. +- Run the same config in CI with `pre-commit run --all-files`, because identical local and CI configs keep local equal to CI. +- Run `pre-commit autoupdate` to bump hook revs. +- Use the official mirrors: `astral-sh/ruff-pre-commit`, `pre-commit/mirrors-mypy`, and `pre-commit/pre-commit-hooks` for whitespace/EOF/YAML fixes. ```yaml repos: - repo: https://github.com/pre-commit/pre-commit-hooks @@ -384,76 +381,91 @@ Encode the Ruff + mypy + pre-commit toolchain and its config. Follow [Ruff](http hooks: - id: mypy ``` -- Use the stdlib `logging` module, never `print`, for library and application diagnostics; get a module logger with `logging.getLogger(__name__)`; in libraries add no handlers and leave configuration to the application; pass `%`-style lazy args (`log.info("x=%s", x)`), not f-strings, in log calls so arguments format only when the record is emitted. --- -## Section 11 — Performance +## 11. Performance -Encode measure-first optimization and the standard fast-path idioms. Follow the [Programming FAQ](https://docs.python.org/3/faq/programming.html). +Purpose: encode measure-first optimization and the standard fast-path idioms. -- Profile before optimizing: find hot spots with `cProfile`, microbenchmark with `timeit`; never optimize on a guess. -- Hoist repeated global, attribute, or method lookups into locals inside tight loops, because locals resolve faster: e.g. `append = result.append`. -- Prefer generators and generator expressions to building intermediate lists when the whole sequence is not needed, to save memory. -- Build strings with `''.join(parts)`, not repeated `+=` in a loop. -- Prefer built-ins and comprehensions (C-level loops) over hand-written Python loops. -- Let readability win until a profile proves a hot path; keep any micro-optimization local and comment it with the reason. +- Profile before optimizing; find hot spots with `cProfile` and microbenchmark with `timeit`, because guesses misidentify the real bottleneck; never optimize on a guess. See the [Programming FAQ](https://docs.python.org/3/faq/programming.html). +- Hoist repeated global, attribute, and method lookups into locals inside tight loops, because locals resolve faster than global or attribute accesses, e.g. bind `append = result.append` once before the loop and call `append(x)` inside it ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). +- Prefer generators and generator expressions over building intermediate lists when the whole sequence is not needed, because they stream values and save memory ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). +- Build strings with `''.join(parts)`, never repeated `+=` in a loop, because repeated concatenation reallocates and copies at O(n^2) cost ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). +- Prefer built-ins and comprehensions over hand-written Python loops, because they run their iteration as C-level loops ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). +- Let readability win until a profile proves a hot path; keep any micro-optimization local and comment it with the reason, because unmeasured optimizations trade clarity for no gain ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). --- -## Section 12 — Concurrency - -Encode choosing the concurrency model by workload. Follow [asyncio](https://docs.python.org/3/library/asyncio.html), [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html), and [multiprocessing](https://docs.python.org/3/library/multiprocessing.html). - -- Apply the decision rule first: waiting on I/O -> threads or asyncio; computing on CPU -> processes. Specifically: - - I/O-bound with few or simple tasks -> `ThreadPoolExecutor`. - - I/O-bound with massive concurrency -> asyncio. - - CPU-bound -> `ProcessPoolExecutor` / `multiprocessing`. - - Mixed -> asyncio for I/O plus offloaded CPU chunks. -- Use asyncio as single-threaded cooperative concurrency for I/O; expect no CPU speedup. - - Run with `asyncio.run(main())`. - - Never block the loop; no `time.sleep`, blocking I/O, or heavy CPU inside a coroutine, because that freezes all tasks. - - Offload blocking work with `await asyncio.to_thread(fn, ...)` or `loop.run_in_executor(...)`. - - Run concurrently with `asyncio.TaskGroup` (3.11+, structured, cancels siblings on error — prefer it) or `asyncio.gather`. - - Keep a reference to `create_task` results so they are not garbage-collected mid-flight. -- Use concurrent.futures as one swappable `Executor` API. - - Use `ThreadPoolExecutor` for I/O-bound work; the GIL (Global Interpreter Lock) is released during blocking I/O, so threads overlap, with no pickling and shared memory. - - Use `ProcessPoolExecutor` for CPU-bound work; it gives true parallelism, but args and results are pickled and startup/IPC (Inter-Process Communication) cost is higher. - - Use `with Executor() as ex:` and `ex.map`/`ex.submit`; use `as_completed` for results as they finish; call `fut.result()`, which re-raises worker exceptions. -- Use multiprocessing for real CPU parallelism via separate processes and GILs. - - Move data through `Queue`/`Pipe` (pickled) or shared memory (`Value`, `Array`, `shared_memory`). - - Know the start methods: `spawn` (default on Windows/macOS; fresh interpreter, safe, slower) vs `fork` (fast, but unsafe with threads/locks). - - Always guard the entry point: - ```python - if __name__ == "__main__": - main() - ``` -- Treat the PEP 703 ([Optional GIL](https://peps.python.org/pep-0703/)) free-threaded build as experimental: it is opt-in no-GIL CPython shipped in 3.13 (`python3.13t`), enabling true parallel pure-Python threads but carrying single-thread overhead and C-extension compatibility risk. For portable code, choose processes for CPU parallelism today. +## 12. Concurrency ---- +Purpose: choose the concurrency model by workload. -## Section 13 — Gotchas & Anti-patterns +- Lead every concurrency decision with the workload rule: waiting on I/O -> threads or asyncio; computing on CPU -> processes. +- Pick `ThreadPoolExecutor` for I/O-bound work with few or simple tasks, because thread overhead stays low at small scale ([concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html)). +- Pick [asyncio](https://docs.python.org/3/library/asyncio.html) for I/O-bound work with massive concurrency, because a single event loop scales to thousands of tasks without per-thread cost. +- Pick `ProcessPoolExecutor` or [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) for CPU-bound work, because separate processes give true parallelism. +- For mixed workloads use asyncio for the I/O plus offloaded CPU chunks, so the loop stays responsive while heavy computation runs elsewhere. -Collect the recurring traps in one place, each with its fix. Follow the [Programming FAQ](https://docs.python.org/3/faq/programming.html) and the [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html). +- Treat asyncio as single-threaded cooperative concurrency for I/O; expect no CPU speedup from it, because all coroutines share one thread ([asyncio](https://docs.python.org/3/library/asyncio.html)). +- Run the program with `asyncio.run(main())` ([asyncio.run](https://docs.python.org/3/library/asyncio-runner.html#asyncio.run)). +- never block the loop: never call `time.sleep`, blocking I/O, or heavy CPU inside a coroutine, because it freezes all tasks; instead offload blocking work with `await asyncio.to_thread(fn, ...)` or `loop.run_in_executor(...)` ([asyncio.to_thread](https://docs.python.org/3/library/asyncio-task.html#asyncio.to_thread)). +- Run concurrent coroutines with `asyncio.TaskGroup` (3.11+, structured, cancels siblings on error) and prefer it over `asyncio.gather` ([asyncio.TaskGroup](https://docs.python.org/3/library/asyncio-task.html#asyncio.TaskGroup)). +- always keep a reference to `create_task` results, because unreferenced tasks can be garbage-collected mid-run ([asyncio.create_task](https://docs.python.org/3/library/asyncio-task.html#asyncio.create_task)). + +- Use `concurrent.futures` for one swappable `Executor` API across thread and process pools ([concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html)). +- Use `ThreadPoolExecutor` for I/O-bound work, because the GIL ([Global Interpreter Lock](https://docs.python.org/3/glossary.html#term-global-interpreter-lock)) is released during blocking I/O so threads overlap, with no pickling and shared memory ([ThreadPoolExecutor](https://docs.python.org/3/library/concurrent.futures.html#threadpoolexecutor)). +- Use `ProcessPoolExecutor` for CPU-bound work, which gives true parallelism at the cost of pickled args/results and higher startup and IPC (Inter-Process Communication) overhead ([ProcessPoolExecutor](https://docs.python.org/3/library/concurrent.futures.html#processpoolexecutor)). +- Enter the pool with `with Executor() as ex:` and submit work through `ex.map` or `ex.submit`, so the pool shuts down cleanly. +- Consume results as they finish with `as_completed`, and call `fut.result()` to re-raise worker exceptions in the caller ([as_completed](https://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.as_completed)). + +- Use `multiprocessing` for real CPU parallelism via separate processes and separate GILs ([multiprocessing](https://docs.python.org/3/library/multiprocessing.html)). +- Move data between processes through `Queue`/`Pipe` (pickled) or shared memory (`Value`, `Array`, `shared_memory`) ([shared_memory](https://docs.python.org/3/library/multiprocessing.shared_memory.html)). +- Know the start methods: `spawn` (default on Windows/macOS; fresh interpreter, safe, slower) versus `fork` (fast, but unsafe with threads/locks) ([start methods](https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods)). +- always guard the entry point so child processes do not re-execute module-level code: -- Mutable default arguments — the default is created once at definition time and shared across calls; use a `None` sentinel instead. - ```python - def f(items=[]): # BUG: same list every call - items.append(1); return items - def f(items=None): # FIX: sentinel - if items is None: items = [] - items.append(1); return items - ``` -- Late-binding closures — the loop variable is looked up when the closure runs, not when defined; bind it per iteration with a default argument. ```python - fns = [lambda: i for i in range(3)] # BUG: all return 2 - fns = [lambda i=i: i for i in range(3)] # FIX: bind per iteration + if __name__ == "__main__": + main() ``` -- Bare `except:` and silent `except ...: pass` — replace with a specific exception plus logging or re-raise (Section 3). -- Broad module-level mutable global state — replace with passed-in arguments, dependency injection, or a class; module-level constants are fine. -- Legacy typing imports (`typing.List`, `Optional`, `Union`) — replace with `list`, `X | None`, `X | Y` (Section 2). -- Wildcard imports outside a curated `__init__.py` re-export — replace with explicit imports (Section 7). -- `type(x) == T` — replace with `isinstance(x, T)`. -- Repeated string `+=` in a loop — replace with `''.join(...)`. -- Flat layout for a distributed package — replace with src-layout (Section 5). -- Blocking calls inside a coroutine — replace with `asyncio.to_thread` or an executor offload (Section 12). + +- Treat the PEP 703 ([Optional GIL](https://peps.python.org/pep-0703/)) free-threaded build as experimental: no-GIL CPython ships opt-in in 3.13 (`python3.13t`), enabling true parallel pure-Python threads but carrying single-thread overhead and C-extension compatibility risk. +- For portable code today, choose processes for CPU parallelism instead of relying on the free-threaded build. + +--- + +## 13. Gotchas & Anti-patterns + +Purpose: collect the recurring traps in one place, each with its fix. + +- never write a mutable default argument, because the default is created once at definition time and shared across every call; use a `None` sentinel and build the value inside the body instead ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). + +```python +def f(items=[]): # BUG: same list every call + items.append(1); return items +def f(items=None): # FIX: sentinel + if items is None: items = [] + items.append(1); return items +``` + +- never rely on a loop variable captured by a closure, because late binding looks it up when the closure runs, not when it is defined; bind it per iteration with a default argument instead ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). + +```python +fns = [lambda: i for i in range(3)] # BUG: all return 2 +fns = [lambda i=i: i for i in range(3)] # FIX: bind per iteration +``` + +- never use a bare `except:` or a silent `except ...: pass`; catch a specific exception and log or re-raise it instead, because silent swallowing hides failures (Section 3). +- never keep broad module-level mutable global state; replace it with passed-in arguments, dependency injection, or a class, because shared mutable globals couple unrelated code — module-level constants are fine ([Google style guide](https://google.github.io/styleguide/pyguide.html)). +- never use legacy typing imports (`typing.List`, `Optional`, `Union`); replace them with `list`, `X | None`, and `X | Y` (Section 2). +- never use wildcard imports outside a curated `__init__.py` re-export; replace them with explicit imports, because star imports obscure names' origins (Section 7). +- never compare types with `type(x) == T`; use `isinstance(x, T)` instead, because it respects subclasses ([Google style guide](https://google.github.io/styleguide/pyguide.html)). +- never build a string with repeated `+=` in a loop; use `''.join(...)` instead, because repeated concatenation is O(n^2) ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). +- never use a flat layout for a distributed package; use a src-layout instead (Section 5). +- never make a blocking call inside a coroutine; offload it with `asyncio.to_thread` or an executor instead, because blocking stalls the event loop (Section 12). + +--- + +## Restated binding rule + +Consistency within an existing project outranks every style rule in this rulebook: when a project already follows a different convention, match it rather than reformatting to these defaults, and apply the defaults here only where no established convention exists. From 07abbb99eb91044744ee7f284658d0861d0424b8 Mon Sep 17 00:00:00 2001 From: Jason Brazeal Date: Thu, 13 Aug 2026 14:39:27 -0700 Subject: [PATCH 10/14] plan revisions; ignore what the prompt rulebook says about always/never --- python-rulebook-plan.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python-rulebook-plan.md b/python-rulebook-plan.md index 5c89364..ad92139 100644 --- a/python-rulebook-plan.md +++ b/python-rulebook-plan.md @@ -12,7 +12,7 @@ This plan is the build input for a rulebook. The rulebook's reader is an AI that - Quantify every quantity (line length, counts, coverage %); never write "a few" or "short". - Include the code examples marked "EXAMPLE" verbatim in spirit; each is a specification of the desired form, not decoration. - Overriding meta-rule: consistency within an existing project outranks any style rule here; when a project already follows a different convention, match it. State this meta-rule at the top of the rulebook, and restate it once at the end (the rulebook runs longer than a page, so the binding rule must reappear at the close). -- Keep invariant words lowercase (e.g. "never", "always"): the cap of three capitalized invariant words per target does not apply here; lowercase "never" is the intended house style throughout this rulebook. +- Ignore the prompts rulebook's rules about invariant words ("never", "always", "must"): they do not apply to this target. This is a style rulebook, so use these words freely. - Link every rule and example back to its official source (PEP, docs.python.org, tool docs, PyPUG). The general convention of stripping provenance and naming no source document does not apply here: this rulebook is a Python style reference whose authority comes from those citations, so keep the source links. - Define these acronyms at first use in the rulebook: PEP ([Python Enhancement Proposal](https://peps.python.org/pep-0001/)); EAFP ("Easier to Ask Forgiveness than Permission"); LBYL ("Look Before You Leap"); GIL ([Global Interpreter Lock](https://docs.python.org/3/glossary.html#term-global-interpreter-lock)); CI (Continuous Integration); ABC ([Abstract Base Class](https://docs.python.org/3/library/abc.html)); TOCTOU (Time-Of-Check to Time-Of-Use); IPC (Inter-Process Communication); PyPA ([Python Packaging Authority](https://www.pypa.io/)); PyPUG ([Python Packaging User Guide](https://packaging.python.org/)). From 947035c6d0721baa632f883e700d01129eb83013 Mon Sep 17 00:00:00 2001 From: Jason Brazeal Date: Thu, 13 Aug 2026 14:40:38 -0700 Subject: [PATCH 11/14] plan revisions; tweak how to integrate rules into current codebase --- python-rulebook-plan.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python-rulebook-plan.md b/python-rulebook-plan.md index ad92139..ff10fc1 100644 --- a/python-rulebook-plan.md +++ b/python-rulebook-plan.md @@ -11,7 +11,7 @@ This plan is the build input for a rulebook. The rulebook's reader is an AI that - For every prohibition, state the replacement behavior beside it. - Quantify every quantity (line length, counts, coverage %); never write "a few" or "short". - Include the code examples marked "EXAMPLE" verbatim in spirit; each is a specification of the desired form, not decoration. -- Overriding meta-rule: consistency within an existing project outranks any style rule here; when a project already follows a different convention, match it. State this meta-rule at the top of the rulebook, and restate it once at the end (the rulebook runs longer than a page, so the binding rule must reappear at the close). +- Apply the rules in the context of the current codebase: where the project already follows a settled convention (e.g. an N-column line length), match N, or raise it with the human if a change seems warranted. Flag for the human any inconsistency, or any code that cannot follow a rule here for whatever reason, rather than silently reformatting. State this guidance near the top of the rulebook. - Ignore the prompts rulebook's rules about invariant words ("never", "always", "must"): they do not apply to this target. This is a style rulebook, so use these words freely. - Link every rule and example back to its official source (PEP, docs.python.org, tool docs, PyPUG). The general convention of stripping provenance and naming no source document does not apply here: this rulebook is a Python style reference whose authority comes from those citations, so keep the source links. - Define these acronyms at first use in the rulebook: PEP ([Python Enhancement Proposal](https://peps.python.org/pep-0001/)); EAFP ("Easier to Ask Forgiveness than Permission"); LBYL ("Look Before You Leap"); GIL ([Global Interpreter Lock](https://docs.python.org/3/glossary.html#term-global-interpreter-lock)); CI (Continuous Integration); ABC ([Abstract Base Class](https://docs.python.org/3/library/abc.html)); TOCTOU (Time-Of-Check to Time-Of-Use); IPC (Inter-Process Communication); PyPA ([Python Packaging Authority](https://www.pypa.io/)); PyPUG ([Python Packaging User Guide](https://packaging.python.org/)). @@ -393,5 +393,5 @@ Run after drafting the rulebook; each item returns to its cause on a "no": - Every quantity is a number or range (line lengths, coverage %, counts). - Every code EXAMPLE from this plan appears in its section. - Sections appear in the order 1-13; rules sit next to their examples. -- The consistency-outranks-style meta-rule appears at the top and is restated once at the end. +- The guidance to apply rules in the context of the current codebase appears near the top of the rulebook. - No section cites this plan or the research brief as its source; every rule and example still links back to its official source (PEP, docs.python.org, tool docs, PyPUG). From f173cebcc3ef39dbf8cd7ea0c86d8a014dbd4a5e Mon Sep 17 00:00:00 2001 From: Jason Brazeal Date: Thu, 13 Aug 2026 15:07:52 -0700 Subject: [PATCH 12/14] python rulebook another pass --- rulebooks/python-rulebook.md | 914 ++++++++++++++++++++++------------- 1 file changed, 589 insertions(+), 325 deletions(-) diff --git a/rulebooks/python-rulebook.md b/rulebooks/python-rulebook.md index 9ab9a27..1cb9352 100644 --- a/rulebooks/python-rulebook.md +++ b/rulebooks/python-rulebook.md @@ -1,285 +1,521 @@ --- -description: Write and maintain idiomatic, well-typed, well-packaged Python for version 3.12 and newer +description: Write and maintain idiomatic, typed, well-tooled Python 3.12+ code --- # Rulebook: Writing & Maintaining Python 3.12+ -Rules for an AI that writes and maintains Python 3.12 and newer. Every rule is an imperative; every prohibition names the behavior that replaces it; every rule and example links back to its official source (a PEP ([Python Enhancement Proposal](https://peps.python.org/pep-0001/)), docs.python.org, a tool's own docs, or the PyPUG ([Python Packaging User Guide](https://packaging.python.org/))) so its authority is checkable. Read the whole rulebook, then apply the section that governs the code under work. +Rules for writing and maintaining Python targeting version 3.12 and newer. The reader is an AI coding agent that writes and edits Python code. Every rule is an imperative; every prohibition names the behavior that replaces it; every quantity is a number or a range. Each rule links to its official source (a PEP, docs.python.org, a tool's documentation, or the Python Packaging User Guide) so its authority is checkable. -**Binding meta-rule:** consistency within an existing project outranks every style rule in this rulebook. When a project already follows a different convention (line width, import order, docstring style, layout), match that convention rather than reformatting to these defaults. Apply this rulebook's defaults only to new projects and to code whose surrounding convention is absent or unclear. +Throughout this rulebook, PEP means [Python Enhancement Proposal](https://peps.python.org/pep-0001/), the numbered design documents that define the language and its ecosystem. Other acronyms are defined at their first use. + +## Applying these rules to an existing codebase + +- Encode the modern generation of syntax and tooling described here; treat any older form marked legacy as something to replace, and name its replacement when you flag it. +- Match a settled local convention over the default here: where the project already fixes a value (line length, docstring style, import grouping), read that value from its config or existing code and follow it. +- Raise a proposed change with the human before switching a settled convention project-wide; do not reformat silently. +- Flag for the human any inconsistency you find, and any code that cannot follow a rule here for any reason, rather than rewriting it on your own judgment. +- When a rule below says to detect a value and the codebase is empty, mixed, or otherwise leaves it unclear, ask the human which value to use rather than guessing. -The rulebook targets Python 3.12+. It encodes the modern generation of syntax and tooling; where an older pattern still appears in the wild, it is marked legacy-to-avoid and its modern replacement is named beside it. The sections run 1 through 13 in the order below; each section keeps its rules next to its code examples. ## 1. Style, Naming & Idioms -Purpose: encode canonical formatting, names, and the idioms that mark code as Pythonic. +Sources for this section: [PEP 8 — Style Guide for Python Code](https://peps.python.org/pep-0008/), [PEP 20 — The Zen of Python](https://peps.python.org/pep-0020/), the [Python glossary](https://docs.python.org/3/glossary.html), the [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html), and the [Hitchhiker's Guide to Python: Code Style](https://docs.python-guide.org/writing/style/). Every rule below traces to one of these; grouped citations name the governing document per subsection. -- Set line length to the formatter's width; [PEP 8](https://peps.python.org/pep-0008/) caps code at 79 columns and docstrings/comments at 72, while Black and [Ruff](https://docs.astral.sh/ruff/) default to 88; detect the width already used (from `[tool.ruff]`/`[tool.black]` config or the existing code) and match it. -- Indent 4 spaces per level; never use tabs and never mix tabs with spaces, because [PEP 8](https://peps.python.org/pep-0008/) forbids ambiguous indentation. -- Prefer implicit line continuation inside `()`, `[]`, and `{}` over backslashes; align to the opening delimiter or use a hanging indent, per [PEP 8](https://peps.python.org/pep-0008/). -- Name functions, variables, methods, modules, and packages in `snake_case`; name classes, exceptions, and type variables in `PascalCase` (CapWords); name module-level constants in `UPPER_CASE`, per [PEP 8](https://peps.python.org/pep-0008/). -- Mark a non-public name with a single leading underscore `_name`; trigger class name-mangling with a double leading underscore `__name`; dodge a keyword clash with a single trailing underscore (`class_`, `type_`); never invent your own `__dunder__` names, because those are reserved by the language ([PEP 8](https://peps.python.org/pep-0008/)). -- Avoid the single-character names `l`, `O`, and `I` because they are confusable with `1` and `0`; use `self` and `cls` as the first argument of instance and class methods respectively ([PEP 8](https://peps.python.org/pep-0008/)). -- Put 2 blank lines around top-level functions and classes and 1 blank line between methods; use blank lines inside a function only to separate logical steps ([PEP 8](https://peps.python.org/pep-0008/)). -- Put no space inside brackets, no space before `,`, `;`, or `:`, and one space after them; put spaces around binary and assignment operators; put no spaces around `=` for keyword arguments and defaults unless the parameter is annotated, then write `def f(x: int = 1)`; treat a slice `:` as an operator with equal spacing on both sides ([PEP 8](https://peps.python.org/pep-0008/)). -- Compare to singletons with `is`, as in `if x is None`; start an inline comment 2 or more spaces after the code, then `# ` and the text ([PEP 8](https://peps.python.org/pep-0008/)). -- Prefer a `def` statement over binding a `lambda` to a name, because the `def` gives the object a useful `__name__` ([PEP 8](https://peps.python.org/pep-0008/)). +### 1.1 Line length -### Zen aphorisms as rules +Sources: [PEP 8 — Maximum Line Length](https://peps.python.org/pep-0008/#maximum-line-length), [Ruff formatter](https://docs.astral.sh/ruff/formatter/). -State these [PEP 20](https://peps.python.org/pep-0020/) ("Zen of Python") aphorisms as binding rules: +- Default to the formatter's configured width; do not pick a width per file. +- Cap code at 79 columns and cap docstrings and comments at 72 columns when following PEP 8 unaided, because narrow lines let editors show files side by side. +- Use 88 columns when the codebase uses Black or Ruff, since that is their default width. +- Detect the active width before writing: read `line-length` under `[tool.ruff]` or `line-length` under `[tool.black]` in `pyproject.toml`, and if neither exists, measure the longest lines already in the code and match that width. +- Flag the inconsistency to the human when files disagree on width rather than silently reformatting to one. -- Prefer explicit over implicit. -- Prefer simple over complex. -- Prefer flat over nested. -- Make readability count; readability outranks cleverness. -- never let errors pass silently unless the silencing is explicit. -- Provide one obvious way to do a thing. -- Treat a hard-to-explain implementation as a bad idea, and an easy-to-explain one as possibly good. +### 1.2 Indentation and continuation -### EAFP over LBYL +Sources: [PEP 8 — Indentation](https://peps.python.org/pep-0008/#indentation), [PEP 8 — Tabs or Spaces](https://peps.python.org/pep-0008/#tabs-or-spaces). -- Define the two styles: LBYL ("Look Before You Leap") tests preconditions first (`if key in d: x = d[key]`); EAFP ("Easier to Ask Forgiveness than Permission") assumes success and catches failure (`try: x = d[key] except KeyError: ...`), per the [glossary](https://docs.python.org/3/glossary.html). -- Prefer EAFP because it reads cleaner and avoids TOCTOU (Time-Of-Check to Time-Of-Use) races where state changes between the check and the use, per the [glossary](https://docs.python.org/3/glossary.html). -- Use LBYL as an escape hatch only when failure raises no exception (for example a value that is merely falsy) or when the check is cheaper than setting up the `try`, per the [glossary](https://docs.python.org/3/glossary.html). +- Indent 4 spaces per level. +- Use spaces exclusively; never use tabs, because mixing the two raises `TabError` in Python 3. +- Never mix tabs and spaces within a file. +- Break long lines by implicit continuation inside `()`, `[]`, or `{}` rather than a trailing backslash `\`, because a stray space after a backslash silently breaks the continuation. +- Align a continued line to the opening delimiter, or use a hanging indent of one extra 4-space level with no argument on the opening line. -### Pythonic idioms to require +### 1.3 Naming conventions -- Test emptiness with `if not seq:` and non-emptiness with `if seq:`, but use `if x is None:` when `None` must be distinguished from other falsy values, per the [Hitchhiker's Guide](https://docs.python-guide.org/writing/style/). -- Use `enumerate(items)` for an index-plus-value loop, never `range(len(items))`, per the [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html). -- Wrap every resource in a `with` context manager (`with open(f) as fh:`) to guarantee cleanup, per the [Hitchhiker's Guide](https://docs.python-guide.org/writing/style/). -- Build collections with comprehensions; use generator expressions `(...)` for large or lazy streams to avoid materializing the whole sequence, per the [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html). -- Assemble strings with `''.join(parts)`, never repeated `+=` in a loop, because repeated concatenation is O(n^2) in reallocations ([Hitchhiker's Guide](https://docs.python-guide.org/writing/style/)). -- Test type membership with `isinstance(x, T)` over `type(x) == T`, because `isinstance` respects subclasses ([Google Python Style Guide](https://google.github.io/styleguide/pyguide.html)). -- Swap with tuple unpacking (`a, b = b, a`) and range-test with chained comparisons (`if 0 < x < 10:`), per the [Hitchhiker's Guide](https://docs.python-guide.org/writing/style/). -- Reach for `dict.get(k, default)`, `dict.setdefault`, or `collections.defaultdict` over manual key-presence checks, per the [Hitchhiker's Guide](https://docs.python-guide.org/writing/style/). +Sources: [PEP 8 — Naming Conventions](https://peps.python.org/pep-0008/#naming-conventions), [Google Python Style Guide — Naming](https://google.github.io/styleguide/pyguide.html#316-naming). + +- Name functions, variables, methods, modules, and packages in `snake_case`. +- Name classes, exceptions, and type variables in `PascalCase` (also called CapWords). +- Name module-level constants in `UPPER_CASE` with underscores between words. +- Keep module and package names short and all-lowercase. + +### 1.4 Underscores in names + +Sources: [PEP 8 — Descriptive: Naming Styles](https://peps.python.org/pep-0008/#descriptive-naming-styles), [Python glossary — name mangling context](https://docs.python.org/3/glossary.html). + +- Prefix a single leading underscore (`_name`) to mark an attribute or function as non-public API. +- Prefix a double leading underscore (`__name`) only to trigger class name-mangling that avoids clashes in subclasses; it is not a stronger privacy marker. +- Append a single trailing underscore (`name_`) to dodge a keyword clash, such as `class_` or `type_`, instead of misspelling the intended word. +- Never invent your own `__dunder__` names; the leading-and-trailing double-underscore namespace is reserved for the interpreter. + +### 1.5 Single-character names, self, and cls + +Sources: [PEP 8 — Names to Avoid](https://peps.python.org/pep-0008/#names-to-avoid), [PEP 8 — Function and Method Arguments](https://peps.python.org/pep-0008/#function-and-method-arguments). + +- Never name a variable `l`, `O`, or `I` alone, because these characters are visually confusable with `1` and `0`; use a descriptive name instead. +- Name the first argument of an instance method `self`. +- Name the first argument of a class method `cls`. + +### 1.6 Blank lines + +Source: [PEP 8 — Blank Lines](https://peps.python.org/pep-0008/#blank-lines). + +- Surround top-level function and class definitions with 2 blank lines. +- Separate method definitions inside a class with 1 blank line. +- Use single blank lines inside a function sparingly, only to separate logical steps. + +### 1.7 Whitespace in expressions and statements + +Source: [PEP 8 — Whitespace in Expressions and Statements](https://peps.python.org/pep-0008/#whitespace-in-expressions-and-statements). + +- Put no space immediately inside `()`, `[]`, or `{}`: write `f(x)`, not `f( x )`. +- Put no space before `,`, `;`, or `:`, and exactly 1 space after each when more text follows on the line. +- Put 1 space on each side of binary operators, comparisons, booleans, and assignment `=`. +- Put no space around `=` for a keyword argument or a default value when the parameter is unannotated: write `f(x=1)`. +- Put 1 space on each side of `=` when the parameter is annotated: write `def f(x: int = 1)`. +- Treat a slice `:` as a binary operator with equal spacing on both sides, and omit spacing entirely for a simple slice like `ham[1:9]`. + +### 1.8 Singleton comparisons and inline comments + +Sources: [PEP 8 — Programming Recommendations](https://peps.python.org/pep-0008/#programming-recommendations), [PEP 8 — Comments](https://peps.python.org/pep-0008/#comments). + +- Compare to the singletons `None`, `True`, and `False` with `is` or `is not`, never `==`, because identity is the correct test for a singleton: write `if x is None`. +- Separate an inline comment from its statement by at least 2 spaces, then start the comment with `# ` and a space before the text. +- Write comments that explain why the code does something, not what it does. + +### 1.9 def over named lambda + +Source: [PEP 8 — Programming Recommendations](https://peps.python.org/pep-0008/#programming-recommendations). + +- Bind a name with `def` rather than assigning a `lambda` to that name, because a `def` gives the object a real `__name__` for tracebacks and introspection. + +```python +def f(x): # do this + return 2 * x + +f = lambda x: 2 * x # not this +``` + +### 1.10 Zen of Python as rules + +Source: [PEP 20 — The Zen of Python](https://peps.python.org/pep-0020/). + +- Prefer explicit code over implicit behavior. +- Prefer simple constructions over complex ones. +- Prefer flat structure over deeply nested structure. +- Optimize for readability, because code is read far more often than it is written. +- Never let errors pass silently unless you silence them explicitly and deliberately. +- Provide one obvious way to do a thing rather than several competing ways. +- Treat an implementation that is hard to explain as a bad idea, and one that is easy to explain as a possibly good one. + +### 1.11 EAFP versus LBYL + +Sources: [Python glossary — EAFP](https://docs.python.org/3/glossary.html#term-EAFP), [Python glossary — LBYL](https://docs.python.org/3/glossary.html#term-LBYL). + +- LBYL ("Look Before You Leap") tests preconditions before acting: `if key in d: x = d[key]`. +- EAFP ("Easier to Ask Forgiveness than Permission") assumes success and catches the failure: `try: x = d[key]` then `except KeyError: ...`. +- Prefer EAFP, because it reads cleaner and avoids a TOCTOU ("Time-Of-Check to Time-Of-Use") race where shared state changes between the check and the use. + +```python +# EAFP — preferred +try: + x = d[key] +except KeyError: + x = default + +# LBYL — use only per the escape hatch below +if key in d: + x = d[key] +else: + x = default +``` + +- Escape hatch: use LBYL when the failure raises no exception (for example a value that is merely falsy) or when the check is cheaper than setting up the `try` block. + +### 1.12 Pythonic idioms + +Sources: [Hitchhiker's Guide — Idioms](https://docs.python-guide.org/writing/style/), [PEP 8 — Programming Recommendations](https://peps.python.org/pep-0008/#programming-recommendations), [PEP 20](https://peps.python.org/pep-0020/). + +- Test a sequence for emptiness by its truthiness: write `if seq:` for non-empty and `if not seq:` for empty, rather than comparing its length to `0`. +- Test with `if x is None:` instead of truthiness when `None` must be distinguished from other falsy values such as `0`, `""`, or `[]`. +- Iterate index and value with `enumerate(items)`, never `range(len(items))`, because `enumerate` yields both directly. + +```python +for i, item in enumerate(items): + print(i, item) +``` + +- Manage every external resource with a `with` context manager, because it guarantees cleanup even when an exception is raised. + +```python +with open(path) as fh: + data = fh.read() +``` + +- Build a collection with a comprehension when you need the whole result at once. +- Use a generator expression `(...)` instead of a list comprehension for a large or lazy stream, because it produces items on demand rather than materializing them all. + +```python +squares = [n * n for n in range(10)] # comprehension +total = sum(n * n for n in range(1_000_000)) # generator expression +``` + +- Assemble a string from parts with `''.join(parts)`, never repeated `+=` in a loop, because repeated concatenation reallocates and copies in O(n^2) time. +- Test type membership with `isinstance(x, T)`, never `type(x) == T`, because `isinstance` respects subclasses. +- Swap values with tuple unpacking: `a, b = b, a`. +- Combine range tests with chained comparisons: write `if 0 < x < 10:` rather than `if 0 < x and x < 10:`. +- Read a dict with a fallback using `dict.get(k, default)` instead of a manual key-presence check. +- Initialize-and-append in one step with `dict.setdefault(k, []).append(v)` or a `collections.defaultdict(list)` instead of testing whether the key exists first. + +```python +from collections import defaultdict + +groups = defaultdict(list) +for key, value in pairs: + groups[key].append(value) +``` + +Restated for this section: match the codebase's existing width, spacing, and naming; write explicit, flat, readable code; prefer EAFP with an LBYL escape hatch; and reach for the idiom the standard library already provides. Flag any code that cannot follow a rule here to the human rather than silently reformatting it. ---- ## 2. Typing -Purpose: encode modern static typing for Python 3.12+, superseding legacy `typing` imports. +Encode modern static typing for Python 3.12+; every rule here supersedes the legacy `typing` imports. A PEP is a [Python Enhancement Proposal](https://peps.python.org/pep-0001/). + +### Generics: prefer builtin and standard collections + +- Subscript builtin collections directly; never import `typing.List`, `typing.Dict`, `typing.Set`, `typing.Tuple`, or `typing.Type`, because [PEP 585](https://peps.python.org/pep-0585/) made the builtins subscriptable and the `typing` aliases are deprecated. +- Write `list[int]`, `dict[str, int]`, `set[str]`, `tuple[int, ...]` (homogeneous variable-length), and `type[MyClass]` (a class object, not an instance). +- Import abstract container and callable types from `collections.abc`, not `typing`: write `collections.abc.Sequence[int]` and `collections.abc.Callable[[int], str]`, because the `typing` equivalents are deprecated aliases of these ([PEP 585](https://peps.python.org/pep-0585/), [typing docs](https://docs.python.org/3/library/typing.html)). + +### Unions: prefer the `|` operator + +- Write unions with `|`: `int | str` for a value of either type, and `str | None` for an optional value, because [PEP 604](https://peps.python.org/pep-0604/) makes `|` the current syntax and retires `Union`/`Optional`. +- Replace `Optional[X]` with `X | None`; `Optional[X]` means `X | None` (a value that may be `None`), and it never means "this argument may be omitted." +- A default value does not add `None` to the type; annotate an omittable-and-nullable parameter explicitly as `def f(x: int | None = None)`, because the default and the type are independent. +- Use `isinstance(x, int | str)` for runtime type checks; the `|` union works as the second argument to `isinstance` on 3.12 ([PEP 604](https://peps.python.org/pep-0604/)). + +### Native generics: prefer PEP 695 syntax over `TypeVar` + +- Declare type parameters with the [PEP 695](https://peps.python.org/pep-0695/) bracket syntax on classes, functions, and aliases; reach for an explicit `typing.TypeVar` only to control variance (`covariant=`/`contravariant=`) or when a legacy codebase forces it, because the bracket syntax scopes the parameter automatically and needs no separate declaration. +- Declare type aliases with the `type` statement so they are recognized as aliases by static checkers. +- Follow this form: + +```python +class Stack[T]: + def push(self, item: T) -> None: ... +def first[T](xs: list[T]) -> T: + return xs[0] +def bounded[T: Number](x: T) -> T: ... # upper bound +def constrained[T: (int, str)](x: T) -> T: ... # constraints +type Vector = list[float] # alias statement +type Pair[T] = tuple[T, T] # generic alias +``` + +### Hints are not enforced at runtime + +- Treat annotations as information for static checkers (mypy/pyright), editors, and documentation, not as runtime guards; a wrong type never raises from the annotation itself ([PEP 484](https://peps.python.org/pep-0484/)). +- Add explicit runtime checks (`isinstance`, validation, or a library like pydantic) whenever a wrong type must be rejected at runtime, because the interpreter ignores the hint. + +### Construct reference + +Use each typing construct for its stated case ([typing docs](https://docs.python.org/3/library/typing.html)): + +- `Callable[[Arg], Ret]` from `collections.abc`: annotate a parameter or return that is itself a function, e.g. a callback taking an `int` and returning a `str`. +- `ParamSpec` via the `[**P]` bracket form: forward a wrapped callable's full parameter list through a decorator so the wrapper keeps the original signature. +- `Self`: annotate a method that returns its own instance, such as a fluent builder method or an alternative constructor (`@classmethod`), instead of naming the class. +- `Final` and `@final`: mark a module constant that must not be reassigned (`TIMEOUT: Final = 30`), a class that must not be subclassed (`@final class X`), or a method that must not be overridden. +- `Literal["r", "w"]`: restrict a parameter to a fixed set of constant values instead of a broad `str`. +- `TypedDict`: type a dict with fixed string keys and a distinct type per key; mark optional keys with `NotRequired[...]` or set `total=False` to make all keys optional. +- `overload`: declare several precise input/output type signatures for one function whose return type depends on argument types. +- `cast`: assert a value's type to the checker when you know more than it can infer; it performs no runtime check. +- `Annotated`: attach metadata (validators, units, framework hints) to a type without changing the type itself. +- `NewType`: create a distinct type from an existing one (`UserId = NewType("UserId", int)`) to stop mixing semantically different values with the same base type. +- `TypeGuard`/`TypeIs`: annotate a boolean-returning function that narrows a type, so the checker refines the argument's type inside the guarded branch. + +### Decorator forwarding with ParamSpec + +- Forward a callable's full signature through a decorator with `[**P, R]`: + +```python +def logged[**P, R](f: Callable[P, R]) -> Callable[P, R]: + def w(*a: P.args, **k: P.kwargs) -> R: + return f(*a, **k) + return w +``` + +### `from __future__ import annotations` + +- Place any `from __future__` import as the first statement of the module, directly after the module docstring, because the interpreter rejects it elsewhere. +- Know that `from __future__ import annotations` makes every annotation in the module a lazily evaluated string, which lets you reference not-yet-defined names and break annotation-only import cycles, and skips the runtime cost of evaluating annotations. +- Do not add the future import for syntax reasons; the modern forms above (`list[int]`, `X | None`, [PEP 695](https://peps.python.org/pep-0695/) generics) already work on 3.12 without it, so add it only to defer evaluation or break an import cycle. +- Weigh that the future import breaks libraries that read annotations at runtime: `dataclasses` edge cases, `pydantic`, and `typing.get_type_hints` (which then needs the module globals to resolve the strings). +- Prefer quoting a single forward reference (`def f(x: "LaterClass") -> None`) over the module-wide future import when only one annotation needs deferring, because the local quote leaves every other annotation eagerly evaluated for the runtime readers. + +Related: [PEP 484](https://peps.python.org/pep-0484/) (type hints), [PEP 544](https://peps.python.org/pep-0544/) (protocols, applied in Section 4). + + +## 3. Errors & Exceptions + +Handle failures narrowly, explicitly, and loudly; errors should never pass silently unless explicitly silenced ([PEP 20](https://peps.python.org/pep-0020/)). + +### Logging + +- Emit every diagnostic through the stdlib [`logging`](https://docs.python.org/3/library/logging.html) module, never `print`, because `logging` carries levels, timestamps, and routing that `print` discards. +- Get a module-scoped logger with `log = logging.getLogger(__name__)`, so log records name their origin module for filtering ([logging docs](https://docs.python.org/3/library/logging.html#logger-objects)). +- Add no handlers in a library; leave handler and level configuration to the application, so importing your code does not hijack the root logger ([logging docs](https://docs.python.org/3/library/logging.html#configuring-logging-for-a-library)). +- Pass log arguments as `%`-style lazy args, `log.info("x=%s", x)`, not an f-string, because `logging` interpolates only when the record is actually emitted, saving the formatting cost at suppressed levels ([logging docs](https://docs.python.org/3/library/logging.html#logging.Logger.debug)). + +### Custom exception classes + +- Derive every custom exception from `Exception`, never from `BaseException`, because `BaseException` is reserved for the interpreter-signal exceptions `SystemExit`, `KeyboardInterrupt`, and `GeneratorExit` that normal `except` handlers must not swallow ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html#BaseException)). +- Group a package's exceptions under one base class so callers can catch the whole package broadly or one error narrowly ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html#Exception)). + +```python +class AppError(Exception): ... +class ConfigError(AppError): ... +class NetworkError(AppError): ... +``` + +### Catching exceptions + +- Catch specific exception types ordered narrow-to-broad, placing `except FileNotFoundError:` before `except OSError:`, because Python runs the first matching handler and a broad clause first would mask the specific one ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html#OSError)). +- Never write a bare `except:`; it also catches `KeyboardInterrupt` and `SystemExit` and traps the process ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html#KeyboardInterrupt)). +- When you genuinely need breadth, write `except Exception:` and then log the error or re-raise it; never write `except ...: pass`, because a silent pass hides the failure ([PEP 20](https://peps.python.org/pep-0020/)). + +### Chaining + +- Chain causes with `raise NewError(...) from original` to preserve the original traceback as the cause ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html#exception-context)). +- Append `from None` to deliberately suppress the original context when it is noise rather than signal ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html#exception-context)). + +```python +raise ConfigError("bad config") from e +``` + +### Reuse standard built-ins + +- Reuse the standard built-in exceptions instead of inventing equivalents, because callers already know their meaning ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html)): + - Raise `ValueError` for a value of the right type but an unacceptable value. + - Raise `TypeError` for a wrong type or an unsupported operation on a type. + - Raise `KeyError` for a missing mapping key and `IndexError` for an out-of-range sequence index; catch both together as `LookupError`. + - Raise `AttributeError` for a missing attribute. + - Raise from the `OSError` family for system errors, using the specific subclass: `FileNotFoundError`, `PermissionError`, or `TimeoutError`. + - Raise `NotImplementedError` when an abstract method is not overridden; do not confuse it with the `NotImplemented` singleton, which a binary special method returns to signal "try the reflected operation" ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html#NotImplementedError), [Built-in Constants](https://docs.python.org/3/library/constants.html#NotImplemented)). + - Raise `RuntimeError` as the generic fallback when no more specific class fits. + - Raise `ArithmeticError` for arithmetic faults and `ZeroDivisionError` for division by zero. + +### Concurrent exceptions and context + +- Raise an `ExceptionGroup` and handle it with `except*` (3.11+) when multiple exceptions surface concurrently, for example from an `asyncio.TaskGroup` ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html#ExceptionGroup)). +- Attach context to an in-flight exception with `e.add_note("...")` (3.11+) so the traceback carries the extra detail ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html#BaseException.add_note)). + +### Structure + +- Keep each `try` block small, wrapping only the statements that can raise, so the handler catches the intended failure and not an unrelated one ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html)). +- Prefer raising an exception over returning an error sentinel, because an unchecked sentinel propagates as bad data while an exception halts the path ([PEP 20](https://peps.python.org/pep-0020/)). +- Release resources with `finally` or a context manager, so cleanup runs whether or not an exception propagates ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html)). + + +## 4. API Design + +Design interfaces around shape, data carriers, and a minimal public surface. This section defines ABC (Abstract Base Class, [`abc` docs](https://docs.python.org/3/library/abc.html)) at first use below. + +### Boundary interfaces: Protocol vs ABC -- Prefer builtin and standard-library generics directly; never import `typing.List`/`Dict`/`Set`/`Tuple`/`Type`, because [PEP 585 (Generics in Standard Collections)](https://peps.python.org/pep-0585/) makes the builtins subscriptable. - - Write `list[int]`, `dict[str, int]`, `set[str]`, `tuple[int, ...]`, and `type[MyClass]` instead of their `typing` equivalents. - - Write `collections.abc.Sequence[int]` and `collections.abc.Callable[[int], str]` instead of importing them from `typing`, per the [typing docs](https://docs.python.org/3/library/typing.html). -- Prefer `|` unions over `Union` and `Optional`, per [PEP 604 (Union types)](https://peps.python.org/pep-0604/): write `int | str` and `str | None`, never `Union[int, str]` or `Optional[str]`. - - Read `Optional[X]` as `X | None` (a value that may be `None`), not as "argument may be omitted". - - Annotate `None` defaults explicitly; a default value never adds `None` to the type, so write `def f(x: int | None = None)`. - - Use `isinstance(x, int | str)` at runtime, because `|` unions work there directly. -- Prefer [PEP 695 (Type Parameter Syntax)](https://peps.python.org/pep-0695/) native generics over explicit `TypeVar`, defined in [PEP 484 (Type Hints)](https://peps.python.org/pep-0484/): +- Prefer `typing.Protocol` for duck-typed interfaces at boundaries, because a class conforms by shape (its methods and attributes) with no inheritance or registration required ([PEP 544](https://peps.python.org/pep-0544/)). ```python - class Stack[T]: - def push(self, item: T) -> None: ... - def first[T](xs: list[T]) -> T: - return xs[0] - def bounded[T: Number](x: T) -> T: ... # upper bound - def constrained[T: (int, str)](x: T) -> T: ... # constraints - type Vector = list[float] # alias statement - type Pair[T] = tuple[T, T] # generic alias + from typing import Protocol + class Readable(Protocol): + def read(self, n: int) -> bytes: ... + def consume(src: Readable) -> bytes: + return src.read(10) ``` - - Reach for `TypeVar` only for variance control (`covariant=`/`contravariant=`) or when a legacy codebase requires it. -- State that hints are not enforced at runtime; they serve static checkers (mypy/pyright), editors, and docs, so wrong types do not raise from the annotation itself, per the [typing docs](https://docs.python.org/3/library/typing.html). -- Use the following construct reference, each with its one use case, from the [typing docs](https://docs.python.org/3/library/typing.html): - - Use `Callable[[Arg], Ret]` from `collections.abc` to type a callable argument or return. - - Use `ParamSpec` (`[**P]`) to forward a callable's full signature in decorators. - - Use `Self` for fluent/builder returns and alternative constructors. - - Use `Final` and `@final` for constants and non-subclassable/non-overridable declarations. - - Use `Literal["r", "w"]` to restrict a value to constant values. - - Use `TypedDict` for dicts with fixed string keys and per-key types, and `NotRequired`/`total=False` for optional keys. - - Reach for `overload`, `cast`, `Annotated`, `NewType`, and `TypeGuard`/`TypeIs` where each applies. -- Forward a decorator's full signature with `ParamSpec`: +- Choose `Protocol` when you cannot modify the implementing classes, when you want library-agnostic interfaces, or when you need only static checking, because structural typing binds unrelated types without touching their definitions ([PEP 544](https://peps.python.org/pep-0544/)). +- Choose an ABC (Abstract Base Class) when you control the hierarchy and want shared implementation, an explicit `register()` call, or runtime enforcement of the contract, because an ABC gives inherited method bodies and raises `TypeError` on instantiation of an incomplete subclass ([`abc` docs](https://docs.python.org/3/library/abc.html)). +- Add `@runtime_checkable` to a Protocol only when you need `isinstance` against it, and know it checks member presence only, not method signatures, so a matching name with a wrong signature still passes ([PEP 544](https://peps.python.org/pep-0544/)). + +### Data carriers + +- Prefer `@dataclasses.dataclass` for plain records, because it generates `__init__`, `__repr__`, and `__eq__` from annotated fields instead of hand-written boilerplate ([`dataclasses` docs](https://docs.python.org/3/library/dataclasses.html)). +- Pass `frozen=True` for immutable value objects, because it blocks attribute reassignment and makes instances hashable ([`dataclasses` docs](https://docs.python.org/3/library/dataclasses.html)). +- Pass `slots=True` to cut per-instance memory and forbid stray attributes, because `__slots__` removes the instance `__dict__` and rejects any name not declared as a field ([`dataclasses` docs](https://docs.python.org/3/library/dataclasses.html)). +- Pass `kw_only=True` for wide constructors, because keyword-only fields remove positional-argument ambiguity when a class has many fields ([`dataclasses` docs](https://docs.python.org/3/library/dataclasses.html)). +- Never write a mutable default such as `field: list = []`; use `field: list = dataclasses.field(default_factory=list)`, because one shared default is created at class-definition time and every instance would mutate the same object ([`dataclasses` docs](https://docs.python.org/3/library/dataclasses.html)). ```python - def logged[**P, R](f: Callable[P, R]) -> Callable[P, R]: - def w(*a: P.args, **k: P.kwargs) -> R: - return f(*a, **k) - return w - ``` -- Place any `from __future__` import as the first statement in a module, after the docstring, per the [__future__ docs](https://docs.python.org/3/library/__future__.html). -- Add `from __future__ import annotations` only to defer evaluation or break cycles, because it makes all annotations lazily evaluated strings, which lets you reference not-yet-defined names and break annotation-only import cycles and avoids the runtime cost of evaluating annotations. - - Do not add it for modern syntax alone; `list[int]`, `X | None`, and PEP 695 generics already work on 3.12 without it. - - Be aware it breaks libraries that read annotations at runtime, such as `dataclasses` edge cases, `pydantic`, and `typing.get_type_hints` (which needs the module globals). - - Prefer quoting a single forward reference over the module-wide future import when only one annotation needs deferring. + import dataclasses ---- + @dataclasses.dataclass(frozen=True, slots=True, kw_only=True) + class Point: + x: float + y: float + tags: list[str] = dataclasses.field(default_factory=list) + ``` +- Reach for third-party carriers when the stdlib is not enough: use [`attrs`](https://www.attrs.org/) for richer field features, and use [`pydantic`](https://docs.pydantic.dev/) when you need validation and serialization at external boundaries, because pydantic coerces and validates input data that a dataclass accepts unchecked. -## 3. Errors & Exceptions +### Public surface -Purpose: encode narrow, explicit, chained exception handling; forbid silent failures. +- Expose the minimum, and mark every internal module, class, function, or attribute with a single leading underscore, because a leading underscore signals non-public to readers and tools ([PEP 8](https://peps.python.org/pep-0008/#descriptive-naming-styles)). +- Declare the intended public API with `__all__` in every module that has one, because `__all__` names the exports a wildcard import re-exports and documents the supported surface ([`import` reference](https://docs.python.org/3/reference/import.html#the-import-system)). +- Keep parameter lists small, and place optional flags after a bare `*` to force keyword-only arguments, because keyword-only flags prevent call sites from passing them positionally in the wrong order. + ```python + def render(text: str, *, wrap: bool = False, indent: int = 0) -> str: ... + ``` -- Use the stdlib [`logging`](https://docs.python.org/3/library/logging.html) module for all library and application diagnostics; never use `print` for diagnostics, because `print` cannot be filtered, routed, or leveled. -- Get a module logger with `logging.getLogger(__name__)`, because the name mirrors the module hierarchy and lets applications configure loggers by dotted path. -- Add no handlers in a library; leave handler and level configuration to the application, because a library that configures the root logger overrides the application's choices. -- Pass log arguments as `%`-style lazy args (`log.info("x=%s", x)`), not f-strings, because the formatting is skipped when the level is disabled. -- Derive custom exceptions from [`Exception`](https://docs.python.org/3/library/exceptions.html#Exception), never from [`BaseException`](https://docs.python.org/3/library/exceptions.html#BaseException), because `BaseException` is reserved for interpreter signals (`SystemExit`, `KeyboardInterrupt`, `GeneratorExit`) that should not normally be caught. -- Group a package's errors under one base class so callers can catch broadly or narrowly. +### Return types +- Return one type per function where practical, because a single return type lets callers and static checkers reason without branching on the result's shape. +- Prefer raising an exception over returning a sentinel such as `None` or `-1` on failure, because a sentinel silently propagates until it corrupts unrelated code, while an exception stops at the fault (see Section 3). +- Make illegal states unrepresentable with `Literal` or `enum.Enum` instead of free strings, because a fixed set of values lets the type checker reject a typo that a bare `str` would accept ([`typing.Literal`](https://docs.python.org/3/library/typing.html#typing.Literal), [`enum` docs](https://docs.python.org/3/library/enum.html)). ```python - class AppError(Exception): ... - class ConfigError(AppError): ... - class NetworkError(AppError): ... + from typing import Literal + def open_mode(mode: Literal["r", "w", "a"]) -> None: ... ``` -- Catch specific types, ordered narrow-to-broad (`except FileNotFoundError:` before `except OSError:`), because the first matching handler wins and a broad handler placed first hides the narrow one. -- never use a bare `except:`, because it catches `KeyboardInterrupt` and `SystemExit`; when breadth is truly needed use `except Exception:` and log or re-raise. -- never write `except ...: pass`; log or re-raise instead, because errors should never pass silently unless explicitly silenced ([PEP 20](https://peps.python.org/pep-0020/), "The Zen of Python"). -- Chain causes with `raise NewError(...) from original` to preserve the original traceback; use `from None` to deliberately suppress context. +### functools idioms +- Apply `@functools.cache` or `@functools.lru_cache` to pure, expensive calls, because they memoize results by arguments and skip recomputation; use `cache` for an unbounded store and `lru_cache(maxsize=N)` to cap it ([`functools` docs](https://docs.python.org/3/library/functools.html#functools.cache)). +- Apply `@functools.cached_property` to a lazy per-instance value, because it computes once on first access and stores the result on the instance ([`functools` docs](https://docs.python.org/3/library/functools.html#functools.cached_property)). +- Use `functools.partial` instead of a trivial wrapper lambda to pre-bind arguments, because `partial` carries a name and is picklable where a lambda is neither ([`functools` docs](https://docs.python.org/3/library/functools.html#functools.partial)). +- Apply `@functools.wraps` inside every decorator, because it copies `__name__`, `__doc__`, and `__wrapped__` from the wrapped function so introspection and tooling see the original ([`functools` docs](https://docs.python.org/3/library/functools.html#functools.wraps)). ```python - raise ConfigError("bad config") from e + import functools + + def logged(f): + @functools.wraps(f) + def wrapper(*args, **kwargs): + return f(*args, **kwargs) + return wrapper ``` +- Use `functools.singledispatch` for a function whose behavior varies by the type of its first argument, because it dispatches on registered types instead of an `isinstance` ladder ([`functools` docs](https://docs.python.org/3/library/functools.html#functools.singledispatch)). -- Reuse standard built-in exceptions instead of inventing equivalents ([Built-in Exceptions](https://docs.python.org/3/library/exceptions.html)): - - [`ValueError`](https://docs.python.org/3/library/exceptions.html#ValueError) for a value of the right type but a bad value. - - [`TypeError`](https://docs.python.org/3/library/exceptions.html#TypeError) for a wrong type or unsupported operation. - - [`KeyError`](https://docs.python.org/3/library/exceptions.html#KeyError) and [`IndexError`](https://docs.python.org/3/library/exceptions.html#IndexError) for missing lookups (both subclass [`LookupError`](https://docs.python.org/3/library/exceptions.html#LookupError)). - - [`AttributeError`](https://docs.python.org/3/library/exceptions.html#AttributeError) for a missing attribute. - - the [`OSError`](https://docs.python.org/3/library/exceptions.html#OSError) family, including [`FileNotFoundError`](https://docs.python.org/3/library/exceptions.html#FileNotFoundError), [`PermissionError`](https://docs.python.org/3/library/exceptions.html#PermissionError), and [`TimeoutError`](https://docs.python.org/3/library/exceptions.html#TimeoutError), for operating-system failures. - - [`NotImplementedError`](https://docs.python.org/3/library/exceptions.html#NotImplementedError) when an abstract method is not overridden — distinct from the [`NotImplemented`](https://docs.python.org/3/library/constants.html#NotImplemented) singleton returned by binary special methods. - - [`RuntimeError`](https://docs.python.org/3/library/exceptions.html#RuntimeError) as a generic fallback when no other exception fits. - - [`ArithmeticError`](https://docs.python.org/3/library/exceptions.html#ArithmeticError) and [`ZeroDivisionError`](https://docs.python.org/3/library/exceptions.html#ZeroDivisionError) for numeric failures. -- Use [`ExceptionGroup`](https://docs.python.org/3/library/exceptions.html#ExceptionGroup) and [`except*`](https://docs.python.org/3/reference/compound_stmts.html#except-star) (3.11+) to handle multiple concurrent exceptions, e.g. from [`asyncio.TaskGroup`](https://docs.python.org/3/library/asyncio-task.html#asyncio.TaskGroup). -- Attach context to an in-flight exception with [`e.add_note("...")`](https://docs.python.org/3/library/exceptions.html#BaseException.add_note) (3.11+). -- Keep `try` blocks small so the handler catches only the statement that can fail; prefer raising over returning error sentinels; use `finally` or context managers for cleanup, because cleanup must run whether or not an exception is raised. ---- +## 5. Project Layout & Packaging -## 4. API Design +Configure the whole project in one `pyproject.toml`; put build config, metadata, dev dependencies, and tool settings there so a single file drives packaging (PyPUG — [Python Packaging User Guide](https://packaging.python.org/) — [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). -Purpose: encode interface shape — data carriers, boundaries, and public surface. +- Include `[build-system]` (the PEP 517/PEP 518 build interface) with `requires` (build-time dependencies) and `build-backend` (the backend import path) in every distributable package; omit it only from a pure application managed by uv that is never built or published, since nothing consumes the build interface there ([PEP 517](https://peps.python.org/pep-0517/), [PEP 518](https://peps.python.org/pep-0518/)). +- Declare project metadata in `[project]` (PEP 621): set `name`, `version` (or list it under `dynamic`), `description`, `readme`, `requires-python`, `license`, `authors`, and `dependencies` so tools and indexes read a standard, tool-agnostic table ([PEP 621](https://peps.python.org/pep-0621/)). +- Declare install-time extras under `[project.optional-dependencies]`, console entry points under `[project.scripts]`, and project links under `[project.urls]`, keeping each concern in its named PEP 621 table ([PEP 621](https://peps.python.org/pep-0621/)). +- Put dev-only dependencies in `[dependency-groups]` (PEP 735), not in `[project.optional-dependencies]`, because dependency groups are local dev tooling that is never published as installable extras ([PEP 735](https://peps.python.org/pep-0735/)). +- Place every tool's configuration under its own `[tool.*]` namespace so tool settings live beside the project without colliding ([PEP 518](https://peps.python.org/pep-0518/)). +- Select a build backend by need: use hatchling (`"hatchling.build"`), the modern PyPA — Python Packaging Authority — default; use setuptools (`"setuptools.build_meta"`, `requires = ["setuptools>=61"]`) for the legacy ecosystem; use flit-core for minimal pure-Python packages; use pdm-backend for the PDM workflow ([Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). +- Build artifacts with `python -m build`, which is backend-agnostic and emits both an sdist (`.tar.gz`) and a wheel (`.whl`) into `dist/`, instead of calling a backend directly ([Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). +- Use src-layout for anything distributed or seriously tested, moving import packages under `src/`; this forces an install before import so tests run against the installed copy ([src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)). +- Never use flat layout for a distributed or tested package; the current directory is first on the import path, so a flat layout can silently import the in-tree copy instead of the installed one and hide packaging errors — use src-layout to catch them ([src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)). +- Reserve flat layout for tiny scripts that are never installed, where no install step exists to diverge from ([src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)). -- Prefer `typing.Protocol` ([PEP 544](https://peps.python.org/pep-0544/)) for duck-typed interfaces at boundaries, because a class conforms by shape (methods/attributes) with no inheritance or registration needed. - - EXAMPLE: - ```python - from typing import Protocol - class Readable(Protocol): - def read(self, n: int) -> bytes: ... - def consume(src: Readable) -> bytes: - return src.read(10) - ``` -- Prefer a Protocol when you cannot modify the implementing classes, want library-agnostic interfaces, or need only static checking; prefer an ABC ([Abstract Base Class](https://docs.python.org/3/library/abc.html)) when you control the hierarchy and want shared implementation, explicit `register()`, or runtime enforcement ([PEP 544](https://peps.python.org/pep-0544/)). -- Apply `@runtime_checkable` only when you need `isinstance` against a Protocol; never rely on it for correctness, because it checks member presence only, not signatures ([PEP 544](https://peps.python.org/pep-0544/)). -- Prefer `@dataclasses.dataclass` for plain records instead of hand-written `__init__`/`__repr__`/`__eq__` ([dataclasses docs](https://docs.python.org/3/library/dataclasses.html)). -- Set `frozen=True` for immutable value objects, because it forbids attribute reassignment and makes instances hashable ([dataclasses docs](https://docs.python.org/3/library/dataclasses.html)). -- Set `slots=True` to cut memory and forbid stray attributes ([dataclasses docs](https://docs.python.org/3/library/dataclasses.html)). -- Set `kw_only=True` for wide constructors, because keyword-only fields remove positional-argument ambiguity ([dataclasses docs](https://docs.python.org/3/library/dataclasses.html)). -- never use a mutable default on a field; use `field(default_factory=list)` instead, because a shared mutable default leaks state across instances ([dataclasses docs](https://docs.python.org/3/library/dataclasses.html#dataclasses.field)). -- Reach for `attrs` or `pydantic` as third-party alternatives when needed, choosing `pydantic` for validation/serialization at boundaries ([dataclasses docs](https://docs.python.org/3/library/dataclasses.html)). -- Expose the minimum public surface; mark internals with a leading underscore ([PEP 8](https://peps.python.org/pep-0008/#descriptive-naming-styles)). -- Declare the intended public API with `__all__` in a module, because it names exactly what re-exports and `from x import *` yield ([PEP 8](https://peps.python.org/pep-0008/#public-and-internal-interfaces)). -- Keep function parameter lists small and prefer keyword-only arguments (`*`) for optional flags, because named flags read clearly at call sites ([PEP 8](https://peps.python.org/pep-0008/#function-and-method-arguments)). -- Return one type per function where practical, because a stable return type keeps callers simple ([typing docs](https://docs.python.org/3/library/typing.html)). -- Prefer raising over sentinel returns, because errors should never pass silently ([built-in exceptions](https://docs.python.org/3/library/exceptions.html)). -- Make illegal states unrepresentable with `Literal` or `Enum` over free strings, because a closed set of values is checkable statically ([enum docs](https://docs.python.org/3/library/enum.html)). -- Apply `@functools.cache` or `@functools.lru_cache` for pure expensive calls, because they memoize results by arguments ([functools docs](https://docs.python.org/3/library/functools.html#functools.cache)). -- Apply `@functools.cached_property` for lazy per-instance values computed once ([functools docs](https://docs.python.org/3/library/functools.html#functools.cached_property)). -- Prefer `functools.partial` over trivial wrapper lambdas for pre-binding arguments ([functools docs](https://docs.python.org/3/library/functools.html#functools.partial)). -- Apply `@functools.wraps` in every decorator to preserve the wrapped function's metadata (name, docstring, `__wrapped__`) ([functools docs](https://docs.python.org/3/library/functools.html#functools.wraps)). -- Use `functools.singledispatch` for type-dispatched functions instead of manual `isinstance` chains ([functools docs](https://docs.python.org/3/library/functools.html#functools.singledispatch)). +EXAMPLE src-layout tree: ---- +``` +myproject/ +├── pyproject.toml +├── README.md +├── LICENSE +├── src/ +│ └── mypkg/ +│ ├── __init__.py +│ └── core.py +└── tests/ + └── test_core.py +``` -## 5. Project Layout & Packaging +EXAMPLE minimal `pyproject.toml`: -Purpose: encode the single-file `pyproject.toml` build config and the src-layout tree. +```toml +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" -- Configure everything in one `pyproject.toml`; never split build, metadata, and tool config across ad-hoc files, because a single source of truth keeps the project readable and reproducible (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). -- Declare `[build-system]` — the PEP 517/518 ([Build System Interface](https://peps.python.org/pep-0517/) / [Build Dependencies](https://peps.python.org/pep-0518/)) build interface — with `requires` (build-time dependencies) and `build-backend` (the backend import path); always include it in a distributable package, and omit it only from a pure application managed by uv that is never built or published (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). -- Declare `[project]` — PEP 621 ([Project Metadata](https://peps.python.org/pep-0621/)) metadata — with `name`, `version` or `dynamic`, `description`, `readme`, `requires-python`, `license`, `authors`, `dependencies`, `[project.optional-dependencies]` (extras), `[project.scripts]` (console entry points), and `[project.urls]` (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). -- Declare dev-only dependencies that are not published extras under `[dependency-groups]` — PEP 735 ([Dependency Groups](https://peps.python.org/pep-0735/)) (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). -- Place each tool's configuration under its own `[tool.*]` namespace, never in a separate config file, because one file keeps provenance and settings together (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). -- Choose a build backend and name it in `build-backend`: hatchling (modern PyPA — Python Packaging Authority ([PyPA](https://www.pypa.io/)) — default, `"hatchling.build"`); setuptools (`"setuptools.build_meta"`, with `requires=["setuptools>=61"]`); flit-core (minimal pure-Python); or pdm-backend (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). -- Build with `python -m build`; it is backend-agnostic and emits an sdist `.tar.gz` plus a wheel `.whl` into `dist/` (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)). -- Use src-layout for anything distributed or seriously tested; it moves import packages under `src/`, which forces an install before import so tests run against the installed copy (see [src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)). -- never rely on a flat layout for a distributed package, because the current directory is first on the import path and a flat layout can silently import the in-tree copy instead of the installed one; use flat layout only for tiny scripts that are never installed (see [src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)). -- Lay the tree out as follows (see [src vs flat layout](https://packaging.python.org/en/latest/discussions/src-layout-vs-flat-layout/)): +[project] +name = "mypkg" +version = "0.1.0" +description = "Short summary." +readme = "README.md" +requires-python = ">=3.12" +license = "MIT" +authors = [{ name = "Your Name", email = "you@example.com" }] +dependencies = ["httpx>=0.27"] - ``` - myproject/ - ├── pyproject.toml - ├── README.md - ├── LICENSE - ├── src/ - │ └── mypkg/ - │ ├── __init__.py - │ └── core.py - └── tests/ - └── test_core.py - ``` +[project.optional-dependencies] +cli = ["typer>=0.12"] -- Write a minimal single-file `pyproject.toml` in this shape (see [Packaging Python Projects](https://packaging.python.org/en/latest/tutorials/packaging-projects/)): +[project.scripts] +mypkg = "mypkg.cli:main" - ```toml - [build-system] - requires = ["hatchling"] - build-backend = "hatchling.build" - - [project] - name = "mypkg" - version = "0.1.0" - description = "Short summary." - readme = "README.md" - requires-python = ">=3.12" - license = "MIT" - authors = [{ name = "Your Name", email = "you@example.com" }] - dependencies = ["httpx>=0.27"] - - [project.optional-dependencies] - cli = ["typer>=0.12"] - - [project.scripts] - mypkg = "mypkg.cli:main" - - [dependency-groups] - dev = ["pytest>=8", "ruff>=0.6", "mypy>=1.13"] - ``` +[dependency-groups] +dev = ["pytest>=8", "ruff>=0.6", "mypy>=1.13"] +``` ---- ## 6. Dependencies & Environments -Purpose: encode lockfile-driven, reproducible dependency workflows. - -- Use [uv](https://docs.astral.sh/uv/concepts/projects/), the lockfile-based tool, for dependency and environment management; commit the lockfile, because a committed lock is what makes installs reproducible. -- Drive the project from a `pyproject.toml` plus a committed cross-platform `uv.lock` ([universal resolution](https://docs.astral.sh/uv/concepts/projects/)), so one lock resolves for every platform. -- Add dependencies with [`uv add `](https://docs.astral.sh/uv/concepts/projects/); it edits the `pyproject.toml` metadata, updates the lock, and syncs `.venv` in one step. -- Remove dependencies with [`uv remove `](https://docs.astral.sh/uv/concepts/projects/), which reverses `uv add` across metadata, lock, and `.venv`. -- Run [`uv sync`](https://docs.astral.sh/uv/concepts/projects/) to make `.venv` match the lock exactly; never hand-edit the environment, because sync is the source of truth. -- Run [`uv lock`](https://docs.astral.sh/uv/concepts/projects/) to re-resolve dependencies when you want updated versions. -- Run commands with [`uv run `](https://docs.astral.sh/uv/concepts/projects/) so they execute in the synced environment. -- Let [uv](https://docs.astral.sh/uv/concepts/projects/) manage the `.venv` and download the interpreter automatically; do not create or activate virtual environments by hand. -- Omit `[build-system]` only from a pure application managed by uv, because nothing is built or published; a distributable package always includes one and uses src-layout to build and publish (`uv build`, `uv publish`) (see Section 5). -- Declare dev-only dependencies through [`[dependency-groups]`](https://docs.astral.sh/uv/concepts/projects/) with `uv add --dev`; never place dev or test tools in the runtime `dependencies`, because they must not ship to consumers. -- Pin [`requires-python = ">=3.12"`](https://docs.astral.sh/uv/concepts/projects/) in `[project]`. -- Run a dependency audit in CI (Continuous Integration) against the lockfile with [`pip-audit`](https://pypi.org/project/pip-audit/) or [uv's audit tooling](https://docs.astral.sh/uv/concepts/projects/), and keep locks current with scheduled updates, because a stale lock accumulates unpatched vulnerabilities. +- Manage dependencies with uv, the lockfile-based tool, because it resolves, locks, and syncs from one interface; see [uv projects](https://docs.astral.sh/uv/concepts/projects/). +- Commit the `uv.lock` file to version control, because a committed lock is what makes an environment reproducible across machines and in CI (Continuous Integration, the automated build-and-test pipeline that runs on every push). +- Declare project metadata and dependencies in `pyproject.toml`, and let uv record the resolved graph in a committed `uv.lock`; uv's universal resolution produces one cross-platform lock that resolves for every supported platform, not just the current one. +- Add a dependency with `uv add `, which edits `pyproject.toml`, updates `uv.lock`, and syncs `.venv` in one step, instead of hand-editing `pyproject.toml` and re-locking separately. +- Remove a dependency with `uv remove `, which reverses `uv add` by editing metadata, updating the lock, and syncing `.venv`. +- Run `uv sync` to make `.venv` match `uv.lock` exactly, adding missing packages and removing extras, when you need the environment to mirror the committed lock. +- Run `uv lock` to re-resolve the dependency graph and refresh `uv.lock` when you want new versions without changing declared dependencies. +- Run commands with `uv run ` to execute in the synced environment, because it guarantees the command sees exactly the locked dependencies rather than whatever is globally installed. +- Let uv manage `.venv` and download the required interpreter automatically; do not create the virtual environment or install Python by hand. +- Omit `[build-system]` only in a pure application managed by uv that is never built or published, because nothing is built or published there. +- Include `[build-system]` in every distributable package and use src-layout, then build and publish with `uv build` and `uv publish`; see Section 5 for the src-layout tree. +- Declare development and test dependencies under `[dependency-groups]` and add them with `uv add --dev`, because these tools must not ship to runtime consumers. +- Pin `requires-python = ">=3.12"` in `[project]`, because the rules and syntax in this rulebook target Python 3.12 and newer. +- Keep development and test dependencies out of the runtime `dependencies` array and in `[dependency-groups]` instead, because a consumer installing your package must not pull in `pytest`, `ruff`, or `mypy`. +- Run a dependency audit in CI against the committed lockfile, using `pip-audit` (see [pip-audit](https://pypi.org/project/pip-audit/)) or uv's audit tooling, because auditing the lock checks the exact versions that will be installed. +- Keep the lock current with scheduled updates (re-run `uv lock` on a fixed interval such as weekly), because a stale lock accumulates unpatched vulnerabilities between releases. ---- ## 7. Imports -Purpose: encode import style and cycle-breaking. +- Prefer absolute imports (`from mypkg.core import x`); they survive module moves and renames, and they name the origin package explicitly so a reader traces any symbol to its source. See the [import system reference](https://docs.python.org/3/reference/import.html). +- Use explicit relative imports only for intra-package references (`from . import util`, `from .core import x`); reserve them for siblings within the same package, and switch to an absolute import for anything outside it. See [PEP 328](https://peps.python.org/pep-0328/). +- Never write implicit relative imports (`import util` expecting a sibling module); they do not exist in Python 3, so a bare `import util` resolves only against the top-level path and fails for a package member. Write `from . import util` instead. See [PEP 328](https://peps.python.org/pep-0328/). +- Write one import per line for `import x` statements (`import os` then `import sys` on separate lines, never `import os, sys`); one name per line keeps diffs minimal and each import independently greppable. Combining names with `from pkg import a, b` on one line stays acceptable. +- Group imports into 3 blocks in this order: standard library, third-party, then local; separate the blocks with 1 blank line and alphabetize the entries within each block; place every import at the top of the module after the docstring and any `from __future__` import. Ruff's `I` rules automate this grouping and ordering. See the [import system reference](https://docs.python.org/3/reference/import.html). + - EXAMPLE: + ```python + """Module docstring.""" -- Prefer absolute imports (`from mypkg.core import x`); they survive refactors and read clearly, per the [import system reference](https://docs.python.org/3/reference/import.html) and [PEP 328](https://peps.python.org/pep-0328/). -- Use explicit relative imports only within a package (`from . import util`, `from .core import x`); implicit relative imports do not exist in Python 3, per [PEP 328](https://peps.python.org/pep-0328/). -- Write one import per line for `import x` statements; group imports as stdlib, third-party, local, each group blank-line separated and alphabetized; place all at the top after the module docstring, because [Ruff's `I` rules](https://docs.astral.sh/ruff/rules/#isort-i) automate this. -- never write wildcard imports (`from x import *`); the only accepted use is deliberate re-export in a package `__init__.py` paired with `__all__`, per the [import system reference](https://docs.python.org/3/reference/import.html). -- Keep `__init__.py` light: minimal side effects, heavy logic in submodules, because import-time work runs on every package import. -- Break import cycles by moving shared code to a lower-level module, restructuring, or deferring the import into the function that needs it. -- Treat a directory without `__init__.py` as an implicit [PEP 420](https://peps.python.org/pep-0420/) namespace package spanning multiple directories/distributions; add `__init__.py` for a normal package, and omit it only when a namespace package is intended. + import os + import sys ---- + import httpx + + from mypkg.core import x + ``` +- Never use wildcard imports (`from x import *`); they hide which names enter the namespace and let a source silently shadow locals, so import each name explicitly (`from x import a, b`). The one accepted use is deliberate re-export in a package `__init__.py` paired with an explicit `__all__` that lists the public names. See the [import system reference](https://docs.python.org/3/reference/import.html). +- Keep `__init__.py` light: run minimal side effects at import time and place heavy logic in submodules, because every importer of the package pays the cost of `__init__.py` and import-time work slows startup and creates cycles. +- Break an import cycle by moving the shared code into a lower-level module that both sides import, restructuring the ownership so the dependency runs one direction, or deferring the import into the function that needs it (a local `import` inside the function body runs at call time, after both modules finish loading). Prefer moving or restructuring; use a deferred import when the other two are impractical. See the [import system reference](https://docs.python.org/3/reference/import.html). +- Add an `__init__.py` to make a directory a normal (regular) package; omit it only when a namespace package is intended, because a directory without `__init__.py` becomes an implicit namespace package (PEP 420) whose contents may span multiple directories or distributions. Choose a namespace package deliberately to split one import package across separate installable pieces; otherwise ship the `__init__.py`. See [PEP 420](https://peps.python.org/pep-0420/). -## 8. Documentation -Purpose: encode docstring conventions and their enforcement. +## 8. Documentation -- Write a docstring as a string literal placed as the first statement of a module, class, or function; use triple double-quotes `"""..."""` even for one-liners, per [PEP 257](https://peps.python.org/pep-0257/). -- Write the summary line in the imperative mood ("Return the sum", not "Returns the sum"), ending with a period, because [PEP 257](https://peps.python.org/pep-0257/) prescribes the imperative form. -- For a one-liner, keep opening and closing quotes on the same line with no surrounding blank lines; for a multi-line docstring, write the summary line, one blank line, the body, then the closing `"""` on its own line, per [PEP 257](https://peps.python.org/pep-0257/). -- Document every public module, class, and function; enforce with Ruff `D` rules, per [PEP 257](https://peps.python.org/pep-0257/). -- Deduce the docstring convention (`google`/`numpy`/`pep257`) from the existing code and match it; never impose a new one. -- When the existing code is empty, mixed, or otherwise leaves the convention unclear, ask the human which convention to use rather than guessing. -- Render structured Google/NumPy sections via Sphinx `napoleon`. +Encode docstring form, convention detection, and comment intent. Sources: PEP 257 ([Docstring Conventions](https://peps.python.org/pep-0257/)); Ruff [pydocstyle `D` rules](https://docs.astral.sh/ruff/rules/#pydocstyle-d); Sphinx [napoleon](https://www.sphinx-doc.org/en/master/usage/extensions/napoleon.html). + +- Write a docstring as a string literal placed as the first statement of a module, class, or function; a string in any later position is a bare expression, not a docstring, and tools will not read it as one. +- Use triple double-quotes `"""..."""` for every docstring including one-liners, never single quotes or `'''`, so quotes and apostrophes inside the text need no escaping and the form stays uniform. +- Write the summary line in the imperative mood ("Return the sum", not "Returns the sum"), ending with a period, because PEP 257 prescribes the imperative and the trailing period marks a complete sentence. +- Write a one-liner with opening and closing quotes on the same line and no blank line before or after it: `"""Return the sum of a and b."""`. +- Write a multi-line docstring as the summary line, then one blank line, then the body, then the closing `"""` on its own line, so the summary stays extractable by tools that read only the first line. +- Document every public module, class, and function with a docstring; leave undocumented only names with a single leading underscore, which are non-public. +- Enforce docstring presence and form with Ruff's `D` rule family; if a public name cannot carry a docstring for a stated reason, suppress it narrowly with `# noqa: D` rather than disabling the family. +- Deduce the docstring convention from the existing code and match it; the three Ruff conventions are `google`, `numpy`, and `pep257`, and imposing a new one fragments the codebase and breaks Sphinx rendering. +- If the existing code is empty, mixed, or otherwise leaves the convention unclear, ask the human which of `google`/`numpy`/`pep257` to use rather than guessing, and set that value under `[tool.ruff.lint.pydocstyle]` once chosen. +- Write structured `Args:`/`Returns:`/`Raises:` sections in Google style or their NumPy equivalents; Sphinx `napoleon` parses both into reference documentation, so the same source serves the reader and the docs build. - EXAMPLE (Google style): ```python def fetch(url: str, timeout: float = 5.0) -> bytes: @@ -296,43 +532,41 @@ Purpose: encode docstring conventions and their enforcement. TimeoutError: If the request exceeds ``timeout``. """ ``` -- Write comments to explain why, not what, and keep them current with the code, because a stale comment misleads more than no comment. +- Write comments that explain why the code does what it does, not what it does; the code already states the what, so a restating comment adds tokens and no information. +- Update every comment in the same edit that changes the code it describes; a stale comment that contradicts the code misleads the next reader more than no comment would. ---- ## 9. Testing -Purpose: encode pytest-based testing with fixtures, parametrization, and coverage gates. - -- Use [pytest](https://docs.pytest.org/en/stable/) with plain `assert` statements, because pytest rewrites assertions to give rich introspection on failure; never write `unittest` boilerplate (`self.assertEqual`, `TestCase` subclasses) instead. -- Follow pytest's [discovery defaults](https://docs.pytest.org/en/stable/explanation/goodpractices.html#conventions-for-python-test-discovery): name files `test_*.py` or `*_test.py`, name test functions `test_*`, and name test classes `Test*` with no `__init__` method, because a constructor blocks pytest from collecting the class. -- Use [`@pytest.fixture`](https://docs.pytest.org/en/stable/how-to/fixtures.html) for setup; choose the narrowest scope that works, escalating only as needed through `function` (default), `class`, `module`, `package`, then `session`, because a wider scope leaks state across tests. -- Use `yield` inside a fixture for teardown, because code after the `yield` runs on cleanup even when the test fails. -- Put shared fixtures in [`conftest.py`](https://docs.pytest.org/en/stable/reference/fixtures.html#conftest-py-sharing-fixtures-across-multiple-files); pytest auto-discovers it, so never import it explicitly. -- Use [`@pytest.mark.parametrize`](https://docs.pytest.org/en/stable/how-to/parametrize.html) for table-driven cases, because each row reports as its own test instead of stopping at the first failure. +- Write tests with pytest and plain `assert`; pytest rewrites `assert` to show operand values on failure, so drop `unittest` boilerplate (`TestCase`, `self.assertEqual`, `self.assertTrue`) in favor of `assert x == y`. See the [pytest docs](https://docs.pytest.org/en/stable/). +- Follow pytest's discovery defaults so tests are collected without extra config: name files `test_*.py` or `*_test.py`, name test functions `test_*`, and name test classes `Test*` with no `__init__` method (a constructor blocks collection of that class). +- Use `@pytest.fixture` for setup, and request a fixture by naming it as a test-function parameter; this makes each test's dependencies explicit and reusable. +- Choose the narrowest fixture scope that works, widening only when a test needs it: `function` (the default, fresh per test, best isolation), then `class`, `module`, `package`, `session`; a wider scope shares state across tests and trades isolation for speed, so widen only to amortize expensive setup. +- Use `yield` in a fixture to separate setup from teardown: code before `yield` sets up, code after `yield` tears down and runs even when the test fails. +- Put fixtures shared across multiple test files in `conftest.py`; pytest auto-discovers it per directory, so never import it. +- Use `@pytest.mark.parametrize` for table-driven cases; one parametrized function replaces many near-duplicate tests and reports each case separately. - EXAMPLE: ```python @pytest.mark.parametrize("n, expected", [(2, 4), (3, 9), (4, 16)]) def test_square(n, expected): assert square(n) == expected ``` -- Measure coverage with [pytest-cov](https://pytest-cov.readthedocs.io/en/latest/) and fail the build below a threshold: `pytest --cov=pkg --cov-fail-under=90`. -- Run multi-version matrices with [`tox`](https://tox.wiki/en/latest/) or [`nox`](https://nox.thea.codes/en/stable/), because they exercise the code against every supported interpreter. -- Keep tests fast, isolated, and deterministic; assert one behavior per test, because a focused test names its own failure. -- Test the installed package, not the in-tree source, paired with the src-layout from Section 5, because that verifies what users actually receive. +- Measure coverage with pytest-cov and fail the run below a fixed threshold: `pytest --cov=pkg --cov-fail-under=90` exits non-zero under 90% coverage, turning coverage into a CI (Continuous Integration) gate. See [pytest-cov](https://pytest-cov.readthedocs.io/). +- Run the test suite across multiple Python versions with [tox](https://tox.wiki/) or [nox](https://nox.thea.codes/), which build isolated per-version environments; use them to prove support for every version in `requires-python`. +- Keep each test fast, isolated, and deterministic: assert one behavior per test, depend on no other test's ordering or leftover state, and remove sources of nondeterminism (fix clocks, seed randomness, stub network calls) so a green run means the same thing every time. +- Test the installed package, not the in-tree source, by pairing tests with the src-layout from Section 5; src-layout forces an install before import, so the suite exercises the copy users receive rather than the working directory. ---- ## 10. Tooling -Purpose: encode the [Ruff](https://docs.astral.sh/ruff/) + [mypy](https://mypy.readthedocs.io/en/stable/) + [pre-commit](https://pre-commit.com/) toolchain and its config. +Use [Ruff](https://docs.astral.sh/ruff/) for both linting and formatting; it replaces Flake8, isort, pydocstyle, pyupgrade, and Black, so one tool and one config cover the whole toolchain instead of five. + +- Run `ruff check --fix` to lint and auto-fix, and run `ruff format` to format; these two commands supersede Flake8, isort, pydocstyle, pyupgrade, and Black entirely. +- Gate CI (Continuous Integration) with `ruff check` and `ruff format --check`; the `--check` flag reports formatting drift without rewriting files, so CI fails on unformatted code instead of silently reformatting it. +- Configure Ruff under `[tool.ruff]` in `pyproject.toml`; keeping config in one file matches the single-config packaging convention. +- Select rule families by prefix under `[tool.ruff.lint]`: `E`/`W` (pycodestyle), `F` (Pyflakes), `I` (isort), `D` (pydocstyle), `UP` (pyupgrade), `B` (bugbear), `N` (naming), `SIM`, `C4`, `PT`; each prefix opts into a whole family, so pick families rather than listing individual codes. +- Suppress a violation narrowly with an inline `# noqa: E501` naming the exact code, or with `per-file-ignores` for a path pattern; never use a bare `# noqa`, which silences every rule on the line and hides new violations. -- Use [Ruff](https://docs.astral.sh/ruff/) for both linting and formatting, because it replaces Flake8, isort, pydocstyle, pyupgrade, and Black in one tool. -- Run `ruff check --fix` and `ruff format` locally to lint and format. -- Gate CI with `ruff check` and `ruff format --check`, because `--check` reports formatting drift without rewriting files. -- Configure Ruff under `[tool.ruff]` in `pyproject.toml`. -- Select rule families by prefix: `E`/`W` (pycodestyle), `F` (Pyflakes), `I` (isort), `D` (pydocstyle), `UP` (pyupgrade), `B` (bugbear), `N` (naming), `SIM`, `C4`, `PT`. -- Suppress violations narrowly with `# noqa: E501` on the line or `per-file-ignores` in config; never disable a rule globally to silence one line. ```toml [tool.ruff] target-version = "py312" @@ -344,11 +578,14 @@ Purpose: encode the [Ruff](https://docs.astral.sh/ruff/) + [mypy](https://mypy.r [tool.ruff.lint.per-file-ignores] "tests/*" = ["D"] ``` -- Use [mypy](https://mypy.readthedocs.io/en/stable/) as a CI gate for static type checking. -- Configure mypy under `[tool.mypy]` with `strict = true`, because strict mode already enables `warn_unused_ignores` and the other strict flags. -- Adopt mypy incrementally by loosening per-module with `[[tool.mypy.overrides]]`, rather than weakening the global config. -- Install `types-*` stub packages for typed dependencies so their signatures are checked. -- Silence untyped third-party libraries with `ignore_missing_imports`; never suppress errors in your own code this way, instead add annotations or ship stubs so mypy checks them. + +Use [mypy](https://mypy.readthedocs.io/en/stable/) as a CI gate so type errors fail the build rather than reaching runtime. + +- Configure `[tool.mypy]` with `strict = true`; strict mode turns on the full set of strictness flags at once, so you inherit new checks as mypy adds them. +- Adopt mypy incrementally by loosening individual modules with `[[tool.mypy.overrides]]` rather than lowering the global setting; this keeps strictness everywhere except the legacy modules you name. +- Install `types-*` stub packages for typed dependencies that ship their hints separately, so mypy sees real signatures instead of `Any`. +- Silence untyped third-party libraries with `ignore_missing_imports` scoped to those modules; this suppresses the missing-stub error only for libraries with no types, not for your own code. + ```toml [tool.mypy] python_version = "3.12" @@ -357,11 +594,15 @@ Purpose: encode the [Ruff](https://docs.astral.sh/ruff/) + [mypy](https://mypy.r module = ["legacy.*"] disallow_untyped_defs = false ``` -- Wire [pre-commit](https://pre-commit.com/) with a `.pre-commit-config.yaml` whose hooks are pinned by `rev`, because pinned revisions make hook runs reproducible. -- Run `pre-commit install` to set the git hook so checks fire on every commit. -- Run the same config in CI with `pre-commit run --all-files`, because identical local and CI configs keep local equal to CI. -- Run `pre-commit autoupdate` to bump hook revs. -- Use the official mirrors: `astral-sh/ruff-pre-commit`, `pre-commit/mirrors-mypy`, and `pre-commit/pre-commit-hooks` for whitespace/EOF/YAML fixes. + +Wire [pre-commit](https://pre-commit.com/) so the same checks run before every commit and again in CI, making local results equal CI results. + +- Define hooks in `.pre-commit-config.yaml` and pin each repo by `rev`; a pinned `rev` makes every machine run the identical hook version, so results are reproducible. +- Run `pre-commit install` once per clone to set the git hook, so the checks run automatically on `git commit`. +- Run the same config in CI with `pre-commit run --all-files`; running one shared config in both places keeps local equal to CI instead of drifting apart. +- Run `pre-commit autoupdate` to bump each `rev` to the latest release; schedule it deliberately rather than editing revs by hand, so pins stay both current and explicit. +- Use the official mirrors `astral-sh/ruff-pre-commit`, `pre-commit/mirrors-mypy`, and `pre-commit/pre-commit-hooks` (the last for whitespace, end-of-file, and YAML hooks); the official mirrors track upstream releases, so hooks match the tools you run directly. + ```yaml repos: - repo: https://github.com/pre-commit/pre-commit-hooks @@ -382,90 +623,113 @@ Purpose: encode the [Ruff](https://docs.astral.sh/ruff/) + [mypy](https://mypy.r - id: mypy ``` ---- ## 11. Performance -Purpose: encode measure-first optimization and the standard fast-path idioms. - -- Profile before optimizing; find hot spots with `cProfile` and microbenchmark with `timeit`, because guesses misidentify the real bottleneck; never optimize on a guess. See the [Programming FAQ](https://docs.python.org/3/faq/programming.html). -- Hoist repeated global, attribute, and method lookups into locals inside tight loops, because locals resolve faster than global or attribute accesses, e.g. bind `append = result.append` once before the loop and call `append(x)` inside it ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). -- Prefer generators and generator expressions over building intermediate lists when the whole sequence is not needed, because they stream values and save memory ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). -- Build strings with `''.join(parts)`, never repeated `+=` in a loop, because repeated concatenation reallocates and copies at O(n^2) cost ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). -- Prefer built-ins and comprehensions over hand-written Python loops, because they run their iteration as C-level loops ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). -- Let readability win until a profile proves a hot path; keep any micro-optimization local and comment it with the reason, because unmeasured optimizations trade clarity for no gain ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). +- Profile before optimizing; find hot spots with [`cProfile`](https://docs.python.org/3/library/profile.html) and microbenchmark candidate changes with [`timeit`](https://docs.python.org/3/library/timeit.html), because measured cost, not intuition, locates the code worth changing. +- Never optimize on a guess; run `cProfile` first and change only the functions the profile ranks highest. +- Hoist repeated global, attribute, or method lookups into locals inside tight loops, because local names resolve faster than global or attribute lookups on every iteration. + - EXAMPLE: + ```python + append = result.append # bind the method once, outside the loop + for x in data: + append(f(x)) # local lookup each iteration, not result.append + ``` +- Prefer generators and generator expressions over building an intermediate list when the whole sequence is not needed at once, because a generator yields one item at a time and holds only the current one in memory. + - EXAMPLE: + ```python + total = sum(x * x for x in data) # streams; no intermediate list allocated + ``` +- Build strings with `''.join(parts)`, never repeated `+=` in a loop, because `+=` reallocates and copies the whole string each time, making assembly O(n^2), while `join` is O(n). + - EXAMPLE: + ```python + parts = [render(row) for row in rows] + text = ''.join(parts) # O(n); not `s += render(row)` in a loop + ``` +- Prefer built-ins and comprehensions over hand-written Python loops for the same work, because their loops run in C rather than in interpreted Python. + - EXAMPLE: + ```python + squares = [x * x for x in data] # C-level loop, not an append loop + biggest = max(data) # built-in, not a manual running maximum + ``` +- Let readability win until a profile proves a given line sits on a hot path; keep any micro-optimization local to that line and add a comment stating the reason and the profile finding that justified it, so a later reader does not "clean up" the ugliness back into a slow form. +- Source: [Programming FAQ](https://docs.python.org/3/faq/programming.html). ---- ## 12. Concurrency -Purpose: choose the concurrency model by workload. +- Choose the concurrency model by workload: waiting on I/O -> threads or asyncio; computing on CPU -> processes. +- Reach for `ThreadPoolExecutor` when the work is I/O-bound with few or simple tasks. +- Reach for asyncio when the work is I/O-bound with massive concurrency (thousands of simultaneous waits). +- Reach for `ProcessPoolExecutor`/`multiprocessing` when the work is CPU-bound, to get true parallelism across cores. +- For mixed workloads, run I/O on asyncio and offload CPU chunks to processes. +- Define GIL as the [Global Interpreter Lock](https://docs.python.org/3/glossary.html#term-global-interpreter-lock), the mutex that lets only one thread execute Python bytecode at a time, so pure-Python threads never run in parallel. +- Define IPC as Inter-Process Communication, the mechanisms (pipes, queues, shared memory) that move data between separate processes. + +### asyncio + +- Use [asyncio](https://docs.python.org/3/library/asyncio.html) for single-threaded cooperative concurrency on I/O; expect no CPU speedup, because all coroutines share one thread. +- Start the event loop once with `asyncio.run(main())`, never by manually creating and closing loops. +- Never call `time.sleep`, blocking I/O, or heavy CPU inside a coroutine; use `await asyncio.sleep(...)` and async libraries instead, because a blocking call freezes every task on the single loop thread. +- Offload unavoidable blocking work with `await asyncio.to_thread(fn, ...)` or `loop.run_in_executor(...)`, which move it off the loop thread and keep other tasks running. +- Run coroutines concurrently with `asyncio.TaskGroup` (3.11+); prefer it, because it is structured and cancels sibling tasks when one fails. +- Use `asyncio.gather` only when you need its flat result list and do not need structured cancellation. +- Keep a reference to every `asyncio.create_task(...)` result (e.g. in a set) until it completes, because the loop holds only a weak reference and an unreferenced task can be garbage-collected mid-run. + +### concurrent.futures + +- Use [concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html) for one swappable `Executor` API across threads and processes. +- Use `ThreadPoolExecutor` for I/O-bound work: the GIL is released during blocking I/O so threads overlap, arguments need no pickling, and workers share memory. +- Use `ProcessPoolExecutor` for CPU-bound work: it gives true parallelism, but arguments and results are pickled and it carries higher startup and IPC cost. +- Manage every executor with `with Executor() as ex:`, which shuts down and joins workers on exit. +- Submit work with `ex.map(fn, iterable)` for ordered results or `ex.submit(fn, *args)` for individual futures. +- Iterate `as_completed(futures)` to consume results in finish order rather than submission order. +- Call `fut.result()` to retrieve a value, knowing it re-raises any exception the worker raised. + +### multiprocessing + +- Use [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) for real CPU parallelism, because each process has its own interpreter and its own GIL. +- Move data between processes through `Queue` or `Pipe` (values are pickled) or through shared memory (`Value`, `Array`, `shared_memory`) to avoid copying large buffers. +- Know the start methods: `spawn` (default on Windows and macOS) launches a fresh interpreter that is safe but slower, while `fork` is fast but unsafe when the parent holds threads or locks. +- Prefer `spawn` when the parent uses threads or locks, because a forked child can deadlock on a lock copied in a held state. +- Always guard the process entry point so a re-imported child does not re-run startup code and spawn processes recursively. + - EXAMPLE: + ```python + if __name__ == "__main__": + main() + ``` -- Lead every concurrency decision with the workload rule: waiting on I/O -> threads or asyncio; computing on CPU -> processes. -- Pick `ThreadPoolExecutor` for I/O-bound work with few or simple tasks, because thread overhead stays low at small scale ([concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html)). -- Pick [asyncio](https://docs.python.org/3/library/asyncio.html) for I/O-bound work with massive concurrency, because a single event loop scales to thousands of tasks without per-thread cost. -- Pick `ProcessPoolExecutor` or [multiprocessing](https://docs.python.org/3/library/multiprocessing.html) for CPU-bound work, because separate processes give true parallelism. -- For mixed workloads use asyncio for the I/O plus offloaded CPU chunks, so the loop stays responsive while heavy computation runs elsewhere. +### PEP 703 free-threaded build -- Treat asyncio as single-threaded cooperative concurrency for I/O; expect no CPU speedup from it, because all coroutines share one thread ([asyncio](https://docs.python.org/3/library/asyncio.html)). -- Run the program with `asyncio.run(main())` ([asyncio.run](https://docs.python.org/3/library/asyncio-runner.html#asyncio.run)). -- never block the loop: never call `time.sleep`, blocking I/O, or heavy CPU inside a coroutine, because it freezes all tasks; instead offload blocking work with `await asyncio.to_thread(fn, ...)` or `loop.run_in_executor(...)` ([asyncio.to_thread](https://docs.python.org/3/library/asyncio-task.html#asyncio.to_thread)). -- Run concurrent coroutines with `asyncio.TaskGroup` (3.11+, structured, cancels siblings on error) and prefer it over `asyncio.gather` ([asyncio.TaskGroup](https://docs.python.org/3/library/asyncio-task.html#asyncio.TaskGroup)). -- always keep a reference to `create_task` results, because unreferenced tasks can be garbage-collected mid-run ([asyncio.create_task](https://docs.python.org/3/library/asyncio-task.html#asyncio.create_task)). +- Treat the [PEP 703](https://peps.python.org/pep-0703/) free-threaded, no-GIL CPython as experimental; it ships opt-in in 3.13 as the `python3.13t` interpreter. +- Expect true parallel pure-Python threads on that build, but weigh its single-thread overhead and its C-extension compatibility risk. +- Choose processes for CPU parallelism in portable code today, because the free-threaded build is not yet the default and not every extension supports it. -- Use `concurrent.futures` for one swappable `Executor` API across thread and process pools ([concurrent.futures](https://docs.python.org/3/library/concurrent.futures.html)). -- Use `ThreadPoolExecutor` for I/O-bound work, because the GIL ([Global Interpreter Lock](https://docs.python.org/3/glossary.html#term-global-interpreter-lock)) is released during blocking I/O so threads overlap, with no pickling and shared memory ([ThreadPoolExecutor](https://docs.python.org/3/library/concurrent.futures.html#threadpoolexecutor)). -- Use `ProcessPoolExecutor` for CPU-bound work, which gives true parallelism at the cost of pickled args/results and higher startup and IPC (Inter-Process Communication) overhead ([ProcessPoolExecutor](https://docs.python.org/3/library/concurrent.futures.html#processpoolexecutor)). -- Enter the pool with `with Executor() as ex:` and submit work through `ex.map` or `ex.submit`, so the pool shuts down cleanly. -- Consume results as they finish with `as_completed`, and call `fut.result()` to re-raise worker exceptions in the caller ([as_completed](https://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.as_completed)). -- Use `multiprocessing` for real CPU parallelism via separate processes and separate GILs ([multiprocessing](https://docs.python.org/3/library/multiprocessing.html)). -- Move data between processes through `Queue`/`Pipe` (pickled) or shared memory (`Value`, `Array`, `shared_memory`) ([shared_memory](https://docs.python.org/3/library/multiprocessing.shared_memory.html)). -- Know the start methods: `spawn` (default on Windows/macOS; fresh interpreter, safe, slower) versus `fork` (fast, but unsafe with threads/locks) ([start methods](https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods)). -- always guard the entry point so child processes do not re-execute module-level code: +## 13. Gotchas & Anti-patterns +- Never write a mutable default argument; a default is evaluated once at definition time and shared across every call, so appends accumulate between callers. +- Default a mutable parameter to `None`, then build the real value inside the body, so each call gets a fresh object. ```python - if __name__ == "__main__": - main() + def f(items=[]): # BUG: same list every call + items.append(1); return items + def f(items=None): # FIX: sentinel + if items is None: items = [] + items.append(1); return items ``` - -- Treat the PEP 703 ([Optional GIL](https://peps.python.org/pep-0703/)) free-threaded build as experimental: no-GIL CPython ships opt-in in 3.13 (`python3.13t`), enabling true parallel pure-Python threads but carrying single-thread overhead and C-extension compatibility risk. -- For portable code today, choose processes for CPU parallelism instead of relying on the free-threaded build. - ---- - -## 13. Gotchas & Anti-patterns - -Purpose: collect the recurring traps in one place, each with its fix. - -- never write a mutable default argument, because the default is created once at definition time and shared across every call; use a `None` sentinel and build the value inside the body instead ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). - -```python -def f(items=[]): # BUG: same list every call - items.append(1); return items -def f(items=None): # FIX: sentinel - if items is None: items = [] - items.append(1); return items -``` - -- never rely on a loop variable captured by a closure, because late binding looks it up when the closure runs, not when it is defined; bind it per iteration with a default argument instead ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). - -```python -fns = [lambda: i for i in range(3)] # BUG: all return 2 -fns = [lambda i=i: i for i in range(3)] # FIX: bind per iteration -``` - -- never use a bare `except:` or a silent `except ...: pass`; catch a specific exception and log or re-raise it instead, because silent swallowing hides failures (Section 3). -- never keep broad module-level mutable global state; replace it with passed-in arguments, dependency injection, or a class, because shared mutable globals couple unrelated code — module-level constants are fine ([Google style guide](https://google.github.io/styleguide/pyguide.html)). -- never use legacy typing imports (`typing.List`, `Optional`, `Union`); replace them with `list`, `X | None`, and `X | Y` (Section 2). -- never use wildcard imports outside a curated `__init__.py` re-export; replace them with explicit imports, because star imports obscure names' origins (Section 7). -- never compare types with `type(x) == T`; use `isinstance(x, T)` instead, because it respects subclasses ([Google style guide](https://google.github.io/styleguide/pyguide.html)). -- never build a string with repeated `+=` in a loop; use `''.join(...)` instead, because repeated concatenation is O(n^2) ([Programming FAQ](https://docs.python.org/3/faq/programming.html)). -- never use a flat layout for a distributed package; use a src-layout instead (Section 5). -- never make a blocking call inside a coroutine; offload it with `asyncio.to_thread` or an executor instead, because blocking stalls the event loop (Section 12). - ---- - -## Restated binding rule - -Consistency within an existing project outranks every style rule in this rulebook: when a project already follows a different convention, match it rather than reformatting to these defaults, and apply the defaults here only where no established convention exists. +- Never capture a loop variable by free reference in a closure; a late-binding closure looks up the variable when it runs, not when it is defined, so every closure sees the loop's final value. +- Bind the loop variable per iteration with a default argument, so each closure captures its own value. + ```python + fns = [lambda: i for i in range(3)] # BUG: all return 2 + fns = [lambda i=i: i for i in range(3)] # FIX: bind per iteration + ``` +- Never write a bare `except:` or a silent `except ...: pass`; a bare clause also swallows `KeyboardInterrupt` and `SystemExit`, and a silent pass hides the failure entirely — catch the specific exception and log it or re-raise (Section 3). +- Never keep broad module-level mutable global state; it couples callers through hidden shared state and defeats testing — pass the value in as an argument, inject the dependency, or hold it on a class instance. Module-level constants are fine. +- Never import `typing.List`, `Optional`, or `Union`; they are legacy aliases superseded on Python 3.12 — write `list`, `X | None`, and `X | Y` (Section 2). +- Never use a wildcard import (`from x import *`) except as a deliberate re-export in a package `__init__.py` paired with `__all__`; it pollutes the namespace and hides a symbol's origin — list the names you use explicitly (Section 7). +- Never compare types with `type(x) == T`; it rejects valid subclasses — use `isinstance(x, T)`, which respects the subtype relationship. +- Never build a string with repeated `+=` in a loop; each concatenation reallocates and copies, giving O(n²) work — collect the parts and call `''.join(...)` for a single O(n) pass. +- Never ship a distributed package in a flat layout; the current directory sits first on the import path, so tests silently import the in-tree copy instead of the installed one — use src-layout to force an install before import (Section 5). +- Never make a blocking call inside a coroutine; blocking I/O, `time.sleep`, or heavy CPU freezes the entire event loop and every other task — offload it with `await asyncio.to_thread(fn, ...)` or `loop.run_in_executor(...)` (Section 12). + +Sources: [Programming FAQ](https://docs.python.org/3/faq/programming.html); [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html). From f8f588d59a2e8cc672edac4089384c704fae8c9d Mon Sep 17 00:00:00 2001 From: Jason Brazeal Date: Thu, 13 Aug 2026 15:13:06 -0700 Subject: [PATCH 13/14] python rulebook image --- .../python-rulebook-plan.md | 0 .../python-rulebook-research-brief.md | 0 rulebooks/images/python-rulebook.png | Bin 0 -> 3116967 bytes rulebooks/python-rulebook.md | 2 ++ 4 files changed, 2 insertions(+) rename python-rulebook-plan.md => chats/python-rulebook-plan.md (100%) rename python-rulebook-research-brief.md => chats/python-rulebook-research-brief.md (100%) create mode 100644 rulebooks/images/python-rulebook.png diff --git a/python-rulebook-plan.md b/chats/python-rulebook-plan.md similarity index 100% rename from python-rulebook-plan.md rename to chats/python-rulebook-plan.md diff --git a/python-rulebook-research-brief.md b/chats/python-rulebook-research-brief.md similarity index 100% rename from python-rulebook-research-brief.md rename to chats/python-rulebook-research-brief.md diff --git 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