X-Git-Url: https://git.madduck.net/etc/vim.git/blobdiff_plain/44d5da00b520a05cd56e58b3998660f64ea59ebd..27c05e1e24e02c62d0c2de2a1ab0673b2c2ca653:/src/black/cache.py diff --git a/src/black/cache.py b/src/black/cache.py index 9455ff4..77f66cc 100644 --- a/src/black/cache.py +++ b/src/black/cache.py @@ -1,21 +1,28 @@ """Caching of formatted files with feature-based invalidation.""" - +import hashlib import os import pickle +import sys import tempfile +from dataclasses import dataclass, field from pathlib import Path -from typing import Dict, Iterable, Set, Tuple +from typing import Dict, Iterable, NamedTuple, Set, Tuple from platformdirs import user_cache_dir from _black_version import version as __version__ from black.mode import Mode -# types -Timestamp = float -FileSize = int -CacheInfo = Tuple[Timestamp, FileSize] -Cache = Dict[str, CacheInfo] +if sys.version_info >= (3, 11): + from typing import Self +else: + from typing_extensions import Self + + +class FileData(NamedTuple): + st_mtime: float + st_size: int + hash: str def get_cache_dir() -> Path: @@ -37,61 +44,98 @@ def get_cache_dir() -> Path: CACHE_DIR = get_cache_dir() -def read_cache(mode: Mode) -> Cache: - """Read the cache if it exists and is well formed. - - If it is not well formed, the call to write_cache later should resolve the issue. - """ - cache_file = get_cache_file(mode) - if not cache_file.exists(): - return {} - - with cache_file.open("rb") as fobj: - try: - cache: Cache = pickle.load(fobj) - except (pickle.UnpicklingError, ValueError, IndexError): - return {} - - return cache - - def get_cache_file(mode: Mode) -> Path: return CACHE_DIR / f"cache.{mode.get_cache_key()}.pickle" -def get_cache_info(path: Path) -> CacheInfo: - """Return the information used to check if a file is already formatted or not.""" - stat = path.stat() - return stat.st_mtime, stat.st_size - - -def filter_cached(cache: Cache, sources: Iterable[Path]) -> Tuple[Set[Path], Set[Path]]: - """Split an iterable of paths in `sources` into two sets. - - The first contains paths of files that modified on disk or are not in the - cache. The other contains paths to non-modified files. - """ - todo, done = set(), set() - for src in sources: - res_src = src.resolve() - if cache.get(str(res_src)) != get_cache_info(res_src): - todo.add(src) - else: - done.add(src) - return todo, done - - -def write_cache(cache: Cache, sources: Iterable[Path], mode: Mode) -> None: - """Update the cache file.""" - cache_file = get_cache_file(mode) - try: - CACHE_DIR.mkdir(parents=True, exist_ok=True) - new_cache = { - **cache, - **{str(src.resolve()): get_cache_info(src) for src in sources}, - } - with tempfile.NamedTemporaryFile(dir=str(cache_file.parent), delete=False) as f: - pickle.dump(new_cache, f, protocol=4) - os.replace(f.name, cache_file) - except OSError: - pass +@dataclass +class Cache: + mode: Mode + cache_file: Path + file_data: Dict[str, FileData] = field(default_factory=dict) + + @classmethod + def read(cls, mode: Mode) -> Self: + """Read the cache if it exists and is well formed. + + If it is not well formed, the call to write later should + resolve the issue. + """ + cache_file = get_cache_file(mode) + if not cache_file.exists(): + return cls(mode, cache_file) + + with cache_file.open("rb") as fobj: + try: + data: Dict[str, Tuple[float, int, str]] = pickle.load(fobj) + file_data = {k: FileData(*v) for k, v in data.items()} + except (pickle.UnpicklingError, ValueError, IndexError): + return cls(mode, cache_file) + + return cls(mode, cache_file, file_data) + + @staticmethod + def hash_digest(path: Path) -> str: + """Return hash digest for path.""" + + data = path.read_bytes() + return hashlib.sha256(data).hexdigest() + + @staticmethod + def get_file_data(path: Path) -> FileData: + """Return file data for path.""" + + stat = path.stat() + hash = Cache.hash_digest(path) + return FileData(stat.st_mtime, stat.st_size, hash) + + def is_changed(self, source: Path) -> bool: + """Check if source has changed compared to cached version.""" + res_src = source.resolve() + old = self.file_data.get(str(res_src)) + if old is None: + return True + + st = res_src.stat() + if st.st_size != old.st_size: + return True + if int(st.st_mtime) != int(old.st_mtime): + new_hash = Cache.hash_digest(res_src) + if new_hash != old.hash: + return True + return False + + def filtered_cached(self, sources: Iterable[Path]) -> Tuple[Set[Path], Set[Path]]: + """Split an iterable of paths in `sources` into two sets. + + The first contains paths of files that modified on disk or are not in the + cache. The other contains paths to non-modified files. + """ + changed: Set[Path] = set() + done: Set[Path] = set() + for src in sources: + if self.is_changed(src): + changed.add(src) + else: + done.add(src) + return changed, done + + def write(self, sources: Iterable[Path]) -> None: + """Update the cache file data and write a new cache file.""" + self.file_data.update( + **{str(src.resolve()): Cache.get_file_data(src) for src in sources} + ) + try: + CACHE_DIR.mkdir(parents=True, exist_ok=True) + with tempfile.NamedTemporaryFile( + dir=str(self.cache_file.parent), delete=False + ) as f: + # We store raw tuples in the cache because pickling NamedTuples + # doesn't work with mypyc on Python 3.8, and because it's faster. + data: Dict[str, Tuple[float, int, str]] = { + k: (*v,) for k, v in self.file_data.items() + } + pickle.dump(data, f, protocol=4) + os.replace(f.name, self.cache_file) + except OSError: + pass