script.module.cache

Simple Python HTTP Cache using sqlite3

Stores cached data in sqlite3.Blobs.
Calculates lifetime, freshness as virtual columns.
Obeys cache control directives, immutable, no-store, etc.
Supports etag, last_modified, etc for conditional requests.
Can be used as a generic key/blob data store when used without directives.

By default the Cache (and Store) use a sqlite3 database named "cache.sqlite" located in the add-on profile directory

Examples

Quick examples of basic usage

Request cache

How to use the Cache class with requests

The Cache class allows you to easily store URIs, as keys, along with their response data and headers in a persistent database.

The calculated column "fresh" and the "conditional_headers" method can be used to limit the number of requests made and the amount of data transferred respectively.

import requests
from cache import Cache, conditional_headers
 
  
def get_html(uri):
    # type: (str) -> Union[str, None]
    headers = {
        "Accept": "text/html",
        "Accept-encoding": "gzip"
    }
    with Cache() as c:
        # check if uri is cached
        cached = c.get(uri)
        if cached:
            # if the data is fresh then simply return it
            if cached["fresh"]:
                return cached["blob"]
            # otherwise append applicable "If-None-Match"/"If-Modified-Since" headers
            headers.update(conditional_headers(cached))
        # request a new version of the data
        r = requests.get(uri, headers=headers, timeout=60)
        if 200 == r.status_code:
            # add the new data and headers to the cache 
            c.set(uri, r.content, r.headers)
            return r.content
        if 304 == r.status_code:
            # the data hasn't been modified so just touch the cache with the new headers
            # and return the existing data
            c.touch(uri, r.headers)
            return cached["blob"]
        # perhaps log any other status codes for debugging
        return None

Generic string storage

Generic string storage is facilitated by the Store class.

The Store class allows a "key" to be used to append to, remove from or retrieve a set of unique string values.

This is useful for saving things like; a history of searched terms, urls of played films, etc.

from cache import Store
 
 
# key can be anything, app:// prefix isn't required
# the only requirement is that the key be unique with in your add-on
searches = Store("app://user-searches") 
 
# add strings to the store
searches.append("foo")
searches.append("bar")
searches.append("bat")
print(searches.retrieve())  # {'bar', 'bat', 'foo'}
 
# remove a string from the store
searches.remove("bar")  
print(searches.retrieve())  # {'bat', 'foo'}
  
# clear the store
searches.clear()
print(searches.retrieve())  # set()

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