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Atomic per-string counter with sliding TTL in Redis (async).

Project description

PyPI version License: MIT Downloads LinkedIn

hashcounter

hashcounter is a tiny async Redis helper: per-string counter with a sliding TTL.
Input string → SHA-256 → key "{prefix}:{hash}" → atomic INCR + EXPIRE in one transaction.

Installation

pip install hashcounter

Requires redis>=5.0.0 and a running Redis server.

Quick start

import asyncio
from hashcounter import bump_string_counter

async def main() -> None:
    count = await bump_string_counter(
        "world_debug_test_v234",
        redis_url="redis://localhost:6379/0",
        key_prefix="llm7:seen",
        ttl_seconds=600,  # 10 minutes
    )
    print(count)  # 1 on first call, then 2, 3, ...

if __name__ == "__main__":
    asyncio.run(main())

FastAPI (shared Redis client)

from __future__ import annotations

import redis.asyncio as redis
from fastapi import FastAPI
from hashcounter import bump_string_counter

app = FastAPI()
r = redis.from_url("redis://localhost:6379/0", decode_responses=False)

@app.on_event("shutdown")
async def _shutdown() -> None:
    await r.aclose()

@app.post("/hit")
async def hit(s: str) -> dict[str, int]:
    count = await bump_string_counter(
        s,
        redis_url="redis://localhost:6379/0",
        key_prefix="llm7:seen",
        ttl_seconds=600,
        client=r,  # reuse connection pool
    )
    return {"count": count}

Behaviour

  • Key: f"{key_prefix}:{sha256(value)}".
  • Atomicity: INCR and EXPIRE run in a single MULTI/EXEC transaction.
  • Sliding TTL: TTL resets to ttl_seconds on every call.
  • First call: creates the key with value 1.
  • Return: current counter value (int).
  • Validation: raises ValueError if ttl_seconds <= 0.

API

async def bump_string_counter(
    value: str,
    *,
    redis_url: str,
    key_prefix: str,
    ttl_seconds: int = 600,
    client: Optional[redis.Redis] = None,
) -> int:
    """Increment the counter and refresh TTL. Return the current value."""

Parameters:

  • value: arbitrary string to count.
  • redis_url: Redis connection URL (ignored if client is provided).
  • key_prefix: namespace prefix for keys.
  • ttl_seconds: key time-to-live (seconds), refreshed on each call.
  • client: existing redis.asyncio.Redis instance (recommended in services).

Use cases

  • Prompt/request deduplication and anti-spam windows.
  • Per-key rate limiting by arbitrary features (prompt hash, user token, IP).
  • Telemetry: “seen count in the last N minutes”.

Contributing

Issues and PRs are welcome: https://github.com/chigwell/hashcounter/issues.

License

MIT © Eugene Evstafev

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