vayulib 0.4.0

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vayu

Async-first Python utility library for caching, time operations, parallel execution, distributed locks, and more.

pip install vayulib

What's inside

Module	Highlights
cache	@cached decorator with TTL, FileCache, MemoryCache, pluggable serializers
aio	grab_all_urls() with rate limiting, sleep_until_signal(), shutdown signal helpers
time	TimeWindow, timeit, to_human_readable_time, timezone-aware datetime helpers
common	Interval with set operations, @retry with exponential backoff, add_jitter, group
parallel	ParallelRunner over thread/process pools with progress tracking, thread-safe collections
lock	Redis-based LongLivedLock (auto-renewing), RedisSemaphore
pandas_utils	slice_frame, select_frame, split_frame, concat_frame_from_dir
log	Global logger L with L.i, L.d, L.e, L.w, L.c shorthands

Quick examples

from vayu.cache import FileCache, Pickler
from datetime import timedelta

cache = FileCache("/tmp/my_cache", Pickler())

@cache.cached(ttl=timedelta(hours=1))
async def fetch_data(url):
    ...

from vayu.common import retry

@retry(ConnectionError, tries=3, delay=1, backoff=2)
async def call_api():
    ...

from vayu.time import TimeWindow

window = TimeWindow.behind(hours=6)  # last 6 hours
print(window.duration, window.start_ms, window.end_ms)

Development

uv sync                      # install dependencies
uv run pytest tests/         # run tests
uv run black vayu/ tests/    # format

Release process

1. Bump version in pyproject.toml
2. Merge to main
3. The publish workflow automatically tags and publishes to PyPI if the version is new