genericache 0.5.2

A thread-safe, process-safe cache for slow data fetching operations

Genericache

A thread-safe, process-safe cache for slow fetching operations, like web requests.

Usage

    from genericache import DiskCache
    from genericache.digest import UrlDigest
    from pathlib import Path
    from typing import Iterable
    from hashlib import sha256

    def my_fetch(url: str) -> Iterable[bytes]:
        import httpx
        return httpx.get(url).raise_for_status().iter_bytes(4096)

    def url_hasher(url: str) -> UrlDigest:
        return UrlDigest.from_str(url)

    cache = DiskCache[str].create(
        url_type=str,
        cache_dir=Path("/tmp/my_cache"),
        url_hasher=url_hasher,
    )

    reader, contents_digest = cache.fetch(
        "https://www.ilastik.org/documentation/pixelclassification/snapshots/training2.png",
        fetcher=my_fetch,
    )
    assert sha256(reader.read()).digest() == contents_digest.digest
    assert cache.hits() == 0
    assert cache.misses() == 1

    reader, contents_digest = cache.fetch(
        "https://www.ilastik.org/documentation/pixelclassification/snapshots/training2.png",
        fetcher=my_fetch,
    )
    assert cache.hits() == 1
    assert cache.misses() == 1

Static type checking

Run pyright over the entire project:

    python3 -m scripts.check

Testing

Run the modules inside tests/, e.g.:

uv run --python 3.11 python -m tests.test_disk_cache

You can also run all tests via the run_tests executable module:

    python3 -m scripts.run_tests