cachedir 0.1.2

A Python manager for the cache

cache-manager

Description

cache-manager is a lightweight, Pythonic cache for files with an SQLite registry. It lets you:

• Store files under a cache directory while tracking metadata in SQLite.
• Version entries automatically based on a stable key derived from a URI/parameters.
• Track and query item status (UNINITIALIZED, WRITE, READY, FAILED, TRASH).
• Attach type-aware attributes (int, float, varchar, datetime, text) and search by them.
• Open plain and compressed files (gz, zip, tar(.gz|.bz2)) via a unified interface.
• Clean up stale records/files and keep the best/most recent ready entries.

This is ideal for reproducible data pipelines and ETL steps where you want deterministic, discoverable artifacts.

Table of Contents

• cache-manager
  • Description
  • Table of Contents
  • Installation
  • Usage
  • Configuration
  • Examples
  • Contributing
  • License
  • Contact

Installation

Clone and install in editable mode (no extra tools required):

git clone https://github.com/saezlab/cache-manager.git
cd cache-manager
python -m venv .venv
source .venv/bin/activate
pip install -e .

Alternatively, if you prefer Poetry:

git clone https://github.com/saezlab/cache-manager.git
cd cache-manager
poetry install

Usage

The API centers around two types: Cache (manager) and CacheItem (one file + metadata). Create a cache, create or retrieve items, write files, mark them READY, and open them later.

Minimal example:

import cachedir as cm
from cachedir._status import Status

cache = cm.Cache(path="./my_cache")
item = cache.create(
    uri="https://example.org/data.tsv",
    params={"dataset": "demo", "version": 1},
    attrs={"species": "human", "rows": 1200},
    status=Status.WRITE.value,
    filename="data.tsv",
)

with open(item.path, "w", encoding="utf-8") as f:
    f.write("col_a\tcol_b\n1\t2\n")

item.ready()
best = cache.best(
    uri="https://example.org/data.tsv",
    params={"dataset": "demo", "version": 1},
)
print(best, best.path)

Run the included example script which downloads a real dataset and caches it:

python scripts/hello_cachedir.py

Configuration

There is no global config file; you configure the cache per instance:

• Cache(path: str | None = None, pkg: str | None = None)
  • path: explicit directory for cache (contains the SQLite registry and files).
  • pkg: if set, uses an OS-specific cache directory for that application name via platformdirs (e.g., on Linux: ~/.cache/<pkg>).

Common item fields:

• uri (str): a canonical identifier used for the hash key (together with params).
• params (dict): serialized to the stable key; changing them yields a new key.
• attrs (dict): typed attributes persisted to attribute tables for rich queries.
• status (int): from cachedir._status.Status (READY, WRITE, etc.).
• filename (str): filename to be used in the cache; extension is auto-inferred.

Logging/session helpers are available under cachedir.session and cachedir.log if you want simple trace output.

Examples

1. Create or reuse an item with best_or_new.

import os
import cachedir as cm
from cachedir._status import Status

cache = cm.Cache(path="./my_cache")
uri = "https://example.org/report.csv"
params = {"year": 2026, "cohort": "A"}

item = cache.best_or_new(
    uri=uri,
    params=params,
    attrs={"kind": "report", "format": "csv"},
    filename="report.csv",
    new_status=Status.WRITE.value,
)

if item.status != Status.READY.value or not os.path.exists(item.path):
    with open(item.path, "w", encoding="utf-8") as f:
        f.write("id,value\n1,42\n")
    item.ready()

print("Using:", item.path)

2. Query by attributes and metadata.

import cachedir as cm
from cachedir._status import Status

cache = cm.Cache(path="./my_cache")

cache.create(
    uri="demo://sample-1",
    attrs={"project": "alpha", "batch": 1, "score": 0.95},
    status=Status.READY.value,
)
cache.create(
    uri="demo://sample-2",
    attrs={"project": "alpha", "batch": 2, "score": 0.71},
    status=Status.READY.value,
)

ids = cache.by_attrs({"project": "alpha", "batch": 2})
print("matching ids:", ids)

items = cache.search(uri="demo://sample-2", status=Status.READY.value)
for it in items:
    print(it.version_id, it.attrs)

3. Open a cached file through CacheItem.open.

import cachedir as cm
from cachedir._status import Status

cache = cm.Cache(path="./my_cache")
item = cache.create(
    uri="demo://text-file",
    filename="hello.txt",
    status=Status.WRITE.value,
)

with open(item.path, "w", encoding="utf-8") as f:
    f.write("hello\nworld\n")

item.ready()

opened = item.open(default_mode="r", encoding="utf-8", large=True)
print(next(iter(opened.result)).strip())

Contributing

Contributions are welcome! A typical flow:

Please open issues and pull requests on GitHub. If you plan a larger change, consider discussing it in an issue first. (A dedicated CONTRIBUTING.md may be added later.)

License

This project is licensed under the GNU General Public License v3.0. See the LICENSE file for details.

Contact

OmniPath Team - [e-mail]

Project page: https://github.com/saezlab/cache-manager