pyBiocFileCache 0.5.1

File based cache for resources and metadata

pyBiocFileCache

pyBiocFileCache is a Python package that provides a robust file caching system with resource validation, cache size management, file compression, and resource tagging. Compatible with BiocFileCache R package.

Installation

Install from PyPI,

pip install pybiocfilecache

Quick Start

from pybiocfilecache import BiocFileCache

# Initialize cache
cache = BiocFileCache("path/to/cache/directory")

# Add a file to cache
resource = cache.add("myfile", "path/to/file.txt")

# Retrieve a file from cache
resource = cache.get("myfile")

# Use the cached file
print(resource.rpath)  # Path to cached file

Advanced Usage

Configuration

from pybiocfilecache import BiocFileCache, CacheConfig
from datetime import timedelta
from pathlib import Path

# Create custom configuration
config = CacheConfig(
    cache_dir=Path("cache_directory"),
    max_size_bytes=1024 * 1024 * 1024,  # 1GB
    cleanup_interval=timedelta(days=7),
    compression=True
)

# Initialize cache with configuration
cache = BiocFileCache(config=config)

Resource Management

# Add file with tags and expiration
from datetime import datetime, timedelta

resource = cache.add(
    "myfile",
    "path/to/file.txt",
    tags=["data", "raw"],
    expires=datetime.now() + timedelta(days=30)
)

# List resources by tag
resources = cache.list_resources(tag="data")

# Search resources
results = cache.search("myfile", field="rname")

# Update resource
cache.update("myfile", "path/to/new_file.txt")

# Remove resource
cache.remove("myfile")

Cache Statistics and Maintenance

# Get cache statistics
stats = cache.get_stats()
print(stats)

# Clean up expired resources
removed_count = cache.cleanup()

# Purge entire cache
cache.purge()