Skip to main content

A collection of caching utilities.

Project description

A hierarchy of classes to provide caching functionality with minimal fuss.

When using the cache, just use the fetch method. This will pull from the cache if it’s present and not expired otherwise will use ‘fetch_from_source’.

Cache

Abstract class. Not expected to be used. Provides the methods needed by subclasses provided by the package.

Methods that need to be implemented in the concrete class:

key fetch_from_source cache fetch_from_cache_by_key delete_by_key expiry_time

Optional:

cook

BaseMemoryClass

Abstract class.

Methods that must be implemented in concrete class:

key fetch_from_source calculate_expiry

Optional:

cook

SimpleMemoryClass

Abstract class.

Methods that must be implemented in concrete class:

key fetch_from_source

Optinal:

cook

BaseHttpMemoryCache

Abstract class.

Caches requests objects or objects generated from requests.

TODO: Improve expiry calculations. Currently only uses max age.

Methods that must be implemented in concrete class:

key fetch_from_source get_request_for_item (if caching objects generated from request objects)

Optinal:

cook

HttpMemoryCache

Concrete class.

Uses the url string as the key. Uses requests.get as fetch_from_source.

Use: Instantiate and use instance.fetch(url) to fetch from the cache or source.

BinaryFileCache

Abstract class.

Reads from and writes to binary files. Suitable for caching images.

Methods that must be implemented in concrete class:

key fetch_from_source

Optional:

cook

FileCache

Abstract class.

Reads from and writes to files with encoding.

Methods that must be implemented in concrete class:

key fetch_from_source

Optional:

cook encode decode

JsonFileCache

Abstract class.

This is just FileCache with JSON encoding and decoding.

fetch_from_source should return a JSON string. If OBJECT_PAIRS_HOOK is set, then decode will use that. Typically use: collections.OrderedDict to retain the order of elements.

Methods that must be implemented in concrete class:

key fetch_from_source

Optional:

cook OBJECT_PAIRS_HOOK

TwoLevelCache

Concrete class.

Generally this means an in-memory cache joined to a persistent cache (e.g, file, database). That means your cache persists over many executions, but doesn’t need to access the slower persistent cache more than once per item fetched.

To use it, implement the two caches and instantiate TwoLevelCache to join them. Pass in-memory cache class as the transient_cache and the persistent cache class as (surprise!) the pesistent_cache.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cachingutil-1.2.6.tar.gz (13.3 kB view details)

Uploaded Source

Built Distribution

cachingutil-1.2.6-py2.py3-none-any.whl (17.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file cachingutil-1.2.6.tar.gz.

File metadata

  • Download URL: cachingutil-1.2.6.tar.gz
  • Upload date:
  • Size: 13.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for cachingutil-1.2.6.tar.gz
Algorithm Hash digest
SHA256 6c432e2d8424d00d29172dfb83f8d3d44cd1ef7b2c56088d2307848c0444a87a
MD5 1674a4c64fcc53bc8cbe6f461194ce38
BLAKE2b-256 f837c90b631476ff4f7707c497336747f96c3abc063c249bb2d8848b3e5074f8

See more details on using hashes here.

File details

Details for the file cachingutil-1.2.6-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for cachingutil-1.2.6-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 3c06c919483b02bb804609273732e8519a9f7d1c8701a6b00408d88e4241609b
MD5 0714ab64af1b63d019fe7cb84b3eb977
BLAKE2b-256 226d3433608f79d17100bcce86040f5fd317bc1dc36f051808e9db2e896794e5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page