cachettl

library1.0.4pypypi✓ verified 85d ago

cachettl is an elegant LRU TTL cache decorator for Python, supporting both synchronous and asyncio functions. Version 1.0.4 (latest) requires Python >=3.7. Provides cache_info(), cache_clear(), and a remainingttl property. Development appears stable with infrequent releases.

database

pip install cachettl

github ↗package ↗

INSTALL

IMPORT

SIG · CACHETTL

cachettl

databasepythonv1.0.4

Install

2.4s avg

Import

—

Disk

17MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.0.4 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 19.2MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 2.4s · import 0.000s · 20MB

17MB installed

● package 17MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

cachettl

✓ from cachettl import cachettl

The decorator is named cachettl (lowercase).

Basic usage of cachettl decorator with maxsize and ttl.

from cachettl import cachettl import time @cachettl(maxsize=128, ttl=60) def expensive_function(n): return n * n print(expensive_function(5)) # Computes and caches print(expensive_function(5)) # Returns cached result print(expensive_function.cache_info()) # e.g., hits=1, misses=1 print(expensive_function.remainingttl()) # seconds left time.sleep(61) print(expensive_function(5)) # Recomputes after TTL expiry

Debug

Known issues

gotchaThe decorator name is cachettl (all lowercase), not cache_ttl or CacheTTL. Importing from cachettl import cachettl is required.

fix

Use 'from cachettl import cachettl' and decorate with @cachettl(...).

affects: all

gotchaThe decorator does not support keyword-only arguments like 'cache' or 'timeout'. Only positional parameters: maxsize, ttl, and maxage.

fix

Use @cachettl(maxsize=128, ttl=60) only. Do not pass other unexpected kwargs.

affects: all

Errors

Common errors & fixes

ModuleNotFoundError: No module named 'cachettl'

Package not installed or installed under a different name.

fix

Run 'pip install cachettl' to install the package.

TypeError: __init__() got an unexpected keyword argument 'timeout'

Using a non-existent keyword argument 'timeout' instead of 'ttl'.

fix

Replace 'timeout' with 'ttl' in the decorator call.

Upgrade

Version history

1.0.4latest on PyPI · released Jul 6, 2024

Audit

Dependencies

No dependency data recorded yet.

Agent activity

16 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/rabuchaim/cachettl ↗

packagehttps://pypi.org/project/cachettl/ ↗