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A Python library that provides a simple and effective caching layer for web requests.

Project description

cached_requests

Build Status PyPI version

cached_requests is a Python library that provides a simple and effective caching layer for your web requests. It's built on top of the popular requests library and is designed to be a drop-in replacement for requests.Session.

Features

  • Persistent Caching: Save responses to disk to speed up repeated requests.
  • Automatic Cache Invalidation: Set a time-to-live (TTL) for your cached responses.
  • Customizable: Configure cache directories, refresh policies, and more.
  • Easy to Use: A simple, intuitive API that gets out of your way.

Installation

Install CacheFlow using pip:

pip install cached_requests

Quick Start

Here's a simple example of how to use cached_requests:

from cached_requests import CacheSession
from datetime import timedelta

# Create a new session with a cache directory
requests = CacheSession(cache_dir='.cache', refresh_after=timedelta(hours=1)) # or use `from cached_requests import requests`

# Make a request
response = requests.get('https://api.github.com')

# The response is now cached. Subsequent requests to the same URL will be served from the cache.
cached_response = requests.get('https://api.github.com')

print(response.json())

Advanced Usage

Configuration

You can configure the behavior of cached_requests by passing arguments to the CacheSession constructor:

  • cache_dir: The directory where cached responses will be stored.
  • force_refresh: If True, the cache will be ignored and all requests will be made to the network.
  • refresh_after: A timedelta object that specifies how long a cached response is valid.
  • refresh_on_error: If True, the cache will be refreshed if a cached response resulted in an error.

Context Manager

You can also use a context manager to temporarily change the configuration:

with requests.configure(force_refresh=True):
    # This request will bypass the cache
    response = requests.get('https://api.github.com')

Deleting Cache Entries

CacheFlow provides multiple ways to manage your cache.

Deleting by URL

You can delete cache entries based on a URL pattern:

from cached_requests import delete_cache_by_function
def should_delete(url: str):
    return 'github.com' in url

delete_cache_by_function(requests, should_delete)

Deleting by Expiration

You can delete cache entries that are older than a specified timedelta:

from cached_requests import delete_cache_by_expiration
from datetime import timedelta
# Delete all cache entries older than 7 days
delete_cache_by_expiration(requests, timedelta(days=7))

Contributing

Contributions are welcome! If you have a feature request, bug report, or pull request, please open an issue on GitHub.

License

cached_requests is licensed under the MIT License. See the LICENSE file for more details.

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