"""Helper functions which don't fit anywhere else""" from __future__ import annotations import ast import hashlib import inspect import os import re import warnings from collections import deque from contextlib import contextmanager from functools import partial from importlib import import_module from pkgutil import iter_modules from typing import IO, TYPE_CHECKING, Any, ParamSpec, Protocol, TypeVar, cast, overload from scrapy.exceptions import ScrapyDeprecationWarning from scrapy.item import Item from scrapy.utils.datatypes import LocalWeakReferencedCache if TYPE_CHECKING: from collections.abc import Callable, Iterable, Iterator from types import ModuleType from scrapy import Spider from scrapy.crawler import Crawler _ITERABLE_SINGLE_VALUES = dict, Item, str, bytes _ITER_T = TypeVar("_ITER_T", bound=dict[Any, Any] | Item | str | bytes) _T = TypeVar("_T") _T_co = TypeVar("_T_co", covariant=True) _P = ParamSpec("_P") @overload def arg_to_iter(arg: None) -> tuple[()]: ... @overload def arg_to_iter(arg: _ITER_T) -> Iterable[_ITER_T]: ... @overload def arg_to_iter(arg: Iterable[_T]) -> Iterable[_T]: ... @overload def arg_to_iter(arg: _T) -> Iterable[_T]: ... def arg_to_iter(arg: Any) -> Iterable[Any]: """Convert an argument to an iterable. The argument can be a None, single value, or an iterable. Exception: if arg is a dict, [arg] will be returned """ if arg is None: return () if not isinstance(arg, _ITERABLE_SINGLE_VALUES) and hasattr(arg, "__iter__"): return cast("Iterable[Any]", arg) return [arg] def load_object(path: str | Callable[..., Any]) -> Any: """Load an object given its absolute object path, and return it. The object can be the import path of a class, function, variable or an instance, e.g. 'scrapy.downloadermiddlewares.redirect.RedirectMiddleware'. If ``path`` is not a string, but is a callable object, such as a class or a function, then return it as is. """ if not isinstance(path, str): if callable(path): return path raise TypeError( f"Unexpected argument type, expected string or object, got: {type(path)}" ) try: dot = path.rindex(".") except ValueError: raise ValueError(f"Error loading object '{path}': not a full path") from None module, name = path[:dot], path[dot + 1 :] mod = import_module(module) try: obj = getattr(mod, name) except AttributeError: raise NameError( f"Module '{module}' doesn't define any object named '{name}'" ) from None return obj def _load_objects(objects: Iterable[str | Callable[..., Any]]) -> tuple[Any, ...]: """Resolve *objects* (objects or import paths) to a tuple of objects.""" return tuple(load_object(obj) if isinstance(obj, str) else obj for obj in objects) def walk_modules_iter(path: str) -> Iterable[ModuleType]: """Loads a module and all its submodules from the given module path and returns them. If *any* module throws an exception while importing, that exception is thrown back. For example: >>> list(walk_modules_iter('scrapy.utils')) [, ...] >>> gen = walk_modules_iter('scrapy.utils.nonexistent') # error not raised until the generator is consumed >>> list(gen) Traceback (most recent call last): ... ModuleNotFoundError: No module named 'scrapy.utils.nonexistent' """ mod = import_module(path) yield mod if hasattr(mod, "__path__"): for _, subpath, ispkg in iter_modules(mod.__path__): fullpath = path + "." + subpath if ispkg: yield from walk_modules_iter(fullpath) else: yield import_module(fullpath) def walk_modules(path: str) -> list[ModuleType]: # pragma: no cover """ Loads a module and all its submodules from the given module path and returns them. If *any* module throws an exception while importing, that exception is thrown back. """ warnings.warn( ( "The scrapy.utils.misc.walk_modules function is deprecated and will be " "removed in a future version of Scrapy. " "Use scrapy.utils.misc.walk_modules_iter instead." ), ScrapyDeprecationWarning, stacklevel=2, ) return list(walk_modules_iter(path)) def md5sum(file: IO[bytes]) -> str: # pragma: no cover """Calculate the md5 checksum of a file-like object without reading its whole content in memory.""" warnings.warn( ( "The scrapy.utils.misc.md5sum function is deprecated and will be " "removed in a future version of Scrapy." ), ScrapyDeprecationWarning, stacklevel=2, ) m = hashlib.md5() # noqa: S324 while True: d = file.read(8096) if not d: break m.update(d) return m.hexdigest() def rel_has_nofollow(rel: str | None) -> bool: """Return True if link rel attribute has nofollow type""" return rel is not None and "nofollow" in rel.lower().replace(",", " ").split() class SupportsFromCrawler(Protocol[_T_co, _P]): @classmethod def from_crawler( cls, crawler: Crawler, /, *args: _P.args, **kwargs: _P.kwargs ) -> _T_co: ... @overload def build_from_crawler( objcls: SupportsFromCrawler[_T_co, _P], crawler: Crawler, /, *args: _P.args, **kwargs: _P.kwargs, ) -> _T_co: ... @overload def build_from_crawler( objcls: Callable[_P, _T_co], crawler: Crawler, /, *args: _P.args, **kwargs: _P.kwargs, ) -> _T_co: ... def build_from_crawler( objcls: Any, crawler: Crawler, /, *args: Any, **kwargs: Any, ) -> Any: """Construct a class instance using its ``from_crawler()`` or ``__init__()`` constructor. .. versionadded:: 2.12 ``*args`` and ``**kwargs`` are forwarded to the constructor. Raises ``TypeError`` if the resulting instance is ``None``. """ if hasattr(objcls, "from_crawler"): instance = objcls.from_crawler(crawler, *args, **kwargs) method_name = "from_crawler" else: instance = objcls(*args, **kwargs) method_name = "__new__" if instance is None: raise TypeError(f"{objcls.__qualname__}.{method_name} returned None") return instance @contextmanager def set_environ(**kwargs: str) -> Iterator[None]: """Temporarily set environment variables inside the context manager and fully restore previous environment afterwards """ original_env = {k: os.environ.get(k) for k in kwargs} os.environ.update(kwargs) try: yield finally: for k, v in original_env.items(): if v is None: del os.environ[k] else: os.environ[k] = v def walk_callable(node: ast.AST) -> Iterable[ast.AST]: """Similar to ``ast.walk``, but walks only function body and skips nested functions defined within the node. """ todo: deque[ast.AST] = deque([node]) walked_func_def = False while todo: node = todo.popleft() if isinstance(node, ast.FunctionDef): if walked_func_def: continue walked_func_def = True todo.extend(ast.iter_child_nodes(node)) yield node _generator_callbacks_cache: LocalWeakReferencedCache[Callable[..., Any], bool] = ( LocalWeakReferencedCache(limit=128) ) def _returns_none(return_node: ast.Return) -> bool: value = return_node.value return value is None or (isinstance(value, ast.Constant) and value.value is None) def is_generator_with_return_value(callable: Callable[..., Any]) -> bool: # noqa: A002 """ Returns True if a callable is a generator function which includes a 'return' statement with a value different than None, False otherwise """ if callable in _generator_callbacks_cache: return bool(_generator_callbacks_cache[callable]) if inspect.isgeneratorfunction(callable): func = callable while isinstance(func, partial): func = func.func src = inspect.getsource(func) pattern = re.compile(r"(^[\t ]+)") code = pattern.sub("", src) match = pattern.match(src) # finds indentation if match: code = re.sub(f"\n{match.group(0)}", "\n", code) # remove indentation tree = ast.parse(code) for node in walk_callable(tree): if isinstance(node, ast.Return) and not _returns_none(node): _generator_callbacks_cache[callable] = True return bool(_generator_callbacks_cache[callable]) _generator_callbacks_cache[callable] = False return bool(_generator_callbacks_cache[callable]) def warn_on_generator_with_return_value( spider: Spider, callable: Callable[..., Any], # noqa: A002 ) -> None: """ Logs a warning if a callable is a generator function and includes a 'return' statement with a value different than None """ if not spider.settings.getbool("WARN_ON_GENERATOR_RETURN_VALUE"): return try: if is_generator_with_return_value(callable): warnings.warn( f'The "{spider.__class__.__name__}.{callable.__name__}" method is ' 'a generator and includes a "return" statement with a value ' "different than None. This could lead to unexpected behaviour. Please see " "https://docs.python.org/3/reference/simple_stmts.html#the-return-statement " 'for details about the semantics of the "return" statement within generators', stacklevel=2, ) except IndentationError: callable_name = spider.__class__.__name__ + "." + callable.__name__ warnings.warn( f'Unable to determine whether or not "{callable_name}" is a generator with a return value. ' "This will not prevent your code from working, but it prevents Scrapy from detecting " f'potential issues in your implementation of "{callable_name}". Please, report this in the ' "Scrapy issue tracker (https://github.com/scrapy/scrapy/issues), " f'including the code of "{callable_name}"', stacklevel=2, )