Skip to main content

PyZCache is dependency free python key value cache based file storage and json serialize

Project description

status workflow test status workflow build

Downloads Downloads Downloads

PyZCache is dependency free python key value cache based file storage and json serialize.

extra features:

  • limit able stack cache
  • option to add ttl (time to life) in cache content
  • smart request

Installation

pip install zcache

example

basic example:

from zcache import Cache
import time

c = Cache(path="/tmp/tes1.cache")
print("set foo=bar: ", c.set("foo", "bar"))
print("c size:", c.size())
print("c has foo: ", c.has("foo"))
print("c get foo: ", c.get("foo"))
print("c delete foo: ", c.delete("foo"))
print("c has foo: ", c.has("foo"))
print("c has spam:", c.has("spam"))
print("c set spam=eggs, ttl=3: ", c.set("spam", "eggs", ttl=3)) # cache with ttl
print("c has spam:", c.has("spam"))
print("sleep 3")
time.sleep(3)
print("c has spam:", c.has("spam"))
print("c size:", c.size())

example with limited stack:

from zcache import Cache

d = Cache(path="/tmp/test2.cache", limit=2)
d.reset()  # reset cache stack to 0
print(d.set("one", 1))  # True
print(d.set("two", 2))  # True
print(d.set("three", 3))  # False out of stack limit
d.delete("one")  # delete one item from stack
print(d.set("three", 3))  # True

SmartRequest

SmartRequest is Simple HTTP Client with smart caching system provide by zcache.

example usage of SmartRequest(url, cache_path, cache_time, offline_ttl):

from zcache import SmartRequest

req = SmartRequest("https://www.example.com", cache_path="/tmp/request1.cache")
print(req.is_loaded_from_cache) # check if response is loaded from cache
response_headers = req.response.get('headers')
response_body = req.response.get('body')

to make advance request you can create custom url object with other library, for example:

from zcache import SmartRequest
import requests

class MyRequest:
    url = "https://www.example.com"
    
    def get():
        """
        this method called by SmartRequest to retrieve content.
        you can put request logic get, post etc and return tuple(headers=dict, body=str)
        """
        
        ret = requests.get(MyRequest.url)
        return dict(ret.headers), ret.text


req = SmartRequest(MyRequest, cache_path="/tmp/request2.cache")

note: caching for request media/binary content is possible with base64 encode.

License

MIT

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

zcache-1.0.2.tar.gz (4.4 kB view hashes)

Uploaded Source

Built Distribution

zcache-1.0.2-py3-none-any.whl (6.3 kB view hashes)

Uploaded Python 3

Supported by

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