
Security News
Meet Socket at Black Hat and DEF CON 2025 in Las Vegas
Meet Socket at Black Hat & DEF CON 2025 for 1:1s, insider security talks at Allegiant Stadium, and a private dinner with top minds in software supply chain security.
If you want to _cache the calls to a specific method or function you could use the python functools._cache
decorator.
If this has not enough configuration options for your taste, or you work with arguments which are not hashable this _
cache decorator could be useful.
Use a cache which expires after a certain amount of time:
from pycache import cache
# The format for schedule_type is <hh:mm:ss>
# This _cache would expire every 10 seconds
@cache(expires_at="*:*:10")
def please_cache():
pass
# This _cache would expire every 5 minutes and 10 seconds
@cache(expires_every="*:5:10")
def please_cache():
pass
Use a _cache which expires every time at a certain time (A bit like a cron job).
from pycache import cache
# The format for _schedule_str is <hh:mm:ss>
# This _cache would expire every day at 15:10:05
@cache(expires_at="15:10:05")
def please_cache():
pass
# This _cache would expire every hour 8 minutes after a full hour
@cache(expires_at="*:08:00")
def please_cache():
pass
Limit the number of _cache entries
from pycache import cache
# This would result in only one _cache entry
@cache(expires_every="*:*:10", max_cache_size=1)
def please_cache(data: str):
pass
# Gets placed in _cache
please_cache("hello")
# Gets called from _cache
please_cache("hello")
# Gets placed in _cache and "hello" gets removed
please_cache("world")
# Is not found in _cache, because "world" is the only _cache entry,
# because the _cache size is one
please_cache("hello")
from pycache import schedule, add_schedule, ScheduleSubscription
import asyncio
# Gets called every 10 seconds
@schedule(call_every="*:*:10")
def schedule_me():
pass
# Gets called every at 10 am
@schedule(call_every="10:00:00")
def schedule_me():
pass
# Gets called 3 times
@schedule(call_every="10:00:00", stop_after=3)
def schedule_me():
pass
# Call with args and keyword args
@schedule(call_every="10:00:00", args=(3,), kwargs={"hello": "world"})
def schedule_me(three: int, hello: str):
pass
# Pass an event loop
@schedule(call_every="10:00:00", event_loop=your_event_loop)
async def schedule_me():
pass
def schedule_programmatically():
pass
# Call this every five seconds
schedule_subscription: ScheduleSubscription = add_schedule(schedule_programmatically, call_every="*:*:5")
# Stop the schedule call
schedule_subscription.stop()
# Start the schedule again
schedule_subscription.stop()
FAQs
Simple to use caching decorator with more capabilites than the default one.
We found that py-cache demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Meet Socket at Black Hat & DEF CON 2025 for 1:1s, insider security talks at Allegiant Stadium, and a private dinner with top minds in software supply chain security.
Security News
CAI is a new open source AI framework that automates penetration testing tasks like scanning and exploitation up to 3,600× faster than humans.
Security News
Deno 2.4 brings back bundling, improves dependency updates and telemetry, and makes the runtime more practical for real-world JavaScript projects.