]> git.madduck.net Git - etc/vim.git/blobdiff - src/black/cache.py

madduck's git repository

Every one of the projects in this repository is available at the canonical URL git://git.madduck.net/madduck/pub/<projectpath> — see each project's metadata for the exact URL.

All patches and comments are welcome. Please squash your changes to logical commits before using git-format-patch and git-send-email to patches@git.madduck.net. If you'd read over the Git project's submission guidelines and adhered to them, I'd be especially grateful.

SSH access, as well as push access can be individually arranged.

If you use my repositories frequently, consider adding the following snippet to ~/.gitconfig and using the third clone URL listed for each project:

[url "git://git.madduck.net/madduck/"]
  insteadOf = madduck:

Remove outdated mentions of runtime support of Python 3.7 (#3896)
[etc/vim.git] / src / black / cache.py
index bca7279f990bd222259fa9d362c1c18a60b38075..77f66cc34a9132dff8fc0a898d1c3246fa00d4c4 100644 (file)
 """Caching of formatted files with feature-based invalidation."""
 """Caching of formatted files with feature-based invalidation."""
-
+import hashlib
 import os
 import pickle
 import os
 import pickle
-from pathlib import Path
+import sys
 import tempfile
 import tempfile
-from typing import Dict, Iterable, Set, Tuple
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Dict, Iterable, NamedTuple, Set, Tuple
 
 from platformdirs import user_cache_dir
 
 
 from platformdirs import user_cache_dir
 
-from black.mode import Mode
-
 from _black_version import version as __version__
 from _black_version import version as __version__
+from black.mode import Mode
 
 
+if sys.version_info >= (3, 11):
+    from typing import Self
+else:
+    from typing_extensions import Self
 
 
-# types
-Timestamp = float
-FileSize = int
-CacheInfo = Tuple[Timestamp, FileSize]
-Cache = Dict[str, CacheInfo]
 
 
+class FileData(NamedTuple):
+    st_mtime: float
+    st_size: int
+    hash: str
 
 
-CACHE_DIR = Path(user_cache_dir("black", version=__version__))
 
 
+def get_cache_dir() -> Path:
+    """Get the cache directory used by black.
 
 
-def read_cache(mode: Mode) -> Cache:
-    """Read the cache if it exists and is well formed.
+    Users can customize this directory on all systems using `BLACK_CACHE_DIR`
+    environment variable. By default, the cache directory is the user cache directory
+    under the black application.
 
 
-    If it is not well formed, the call to write_cache later should resolve the issue.
+    This result is immediately set to a constant `black.cache.CACHE_DIR` as to avoid
+    repeated calls.
     """
     """
-    cache_file = get_cache_file(mode)
-    if not cache_file.exists():
-        return {}
+    # NOTE: Function mostly exists as a clean way to test getting the cache directory.
+    default_cache_dir = user_cache_dir("black", version=__version__)
+    cache_dir = Path(os.environ.get("BLACK_CACHE_DIR", default_cache_dir))
+    return cache_dir
 
 
-    with cache_file.open("rb") as fobj:
-        try:
-            cache: Cache = pickle.load(fobj)
-        except (pickle.UnpicklingError, ValueError, IndexError):
-            return {}
 
 
-    return cache
+CACHE_DIR = get_cache_dir()
 
 
 def get_cache_file(mode: Mode) -> Path:
     return CACHE_DIR / f"cache.{mode.get_cache_key()}.pickle"
 
 
 
 
 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