reche

Name	reche JSON
Version	0.1.2 JSON
	download
home_page	None
Summary	Reche (Redis Cache) is a Python library that provides a simple interface for caching data in Redis.
upload_time	2025-03-10 22:38:54
maintainer	None
docs_url	None
author	None
requires_python	>=3.10
license	None
keywords	async cache decorator redis
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Reche (Redis Cache)

> Python библиотека, которая предоставляет декоратор для кэширования результатов функций в Redis, поддерживая различные форматы сериализации и стратегии кэширования, а также асинхронные операции.

## Установка

---

### 📥 Установка из Git-репозитория

#### Для pip
```bash
pip install git+https://gitlab.com/Randommist/reche.git
```

#### Для uv
```bash
uv add git+https://gitlab.com/Randommist/reche.git
```

#### Для poetry
```bash
poetry add git+https://gitlab.com/Randommist/reche.git
```

---

### 📦 Установка из PyPI

#### Для pip
```bash
pip install reche
```

#### Для uv
```bash
uv add reche
```

#### Для poetry
```bash
poetry add reche
```

---

## Использование (sync)
```python
import time
import redis
from reche import RedisCache


redis_client = redis.Redis(host="localhost", port=6379, db=0)
redis_cache = RedisCache(redis_client)

@redis_cache.cache()
def sum(a: int, b: int) -> int:
    time.sleep(3)
    return a + b

result = sum(1, 2)  # ожидание 3 секунды
print(result)

result = sum(1, 2)  # моментально
print(result)
```

## Использование (async)
```python
import asyncio
import redis.asyncio as redis
from reche import RedisCache


redis_client = redis.Redis(host="localhost", port=6379, db=0)
redis_cache = RedisCache(redis_client)

@redis_cache.cache()
async def sum(a: int, b: int) -> int:
    await asyncio.sleep(3)
    return a + b

async def main():
    result = await sum(1, 2)  # ожидание 3 секунды
    print(result)

    result = await sum(1, 2)  # моментально
    print(result)

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

            

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    "description": "# Reche (Redis Cache)\n\n> Python \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0434\u0435\u043a\u043e\u0440\u0430\u0442\u043e\u0440 \u0434\u043b\u044f \u043a\u044d\u0448\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u0432 \u0444\u0443\u043d\u043a\u0446\u0438\u0439 \u0432 Redis, \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 \u0444\u043e\u0440\u043c\u0430\u0442\u044b \u0441\u0435\u0440\u0438\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u0438 \u0441\u0442\u0440\u0430\u0442\u0435\u0433\u0438\u0438 \u043a\u044d\u0448\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f, \u0430 \u0442\u0430\u043a\u0436\u0435 \u0430\u0441\u0438\u043d\u0445\u0440\u043e\u043d\u043d\u044b\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438.\n\n## \u0423\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430\n\n---\n\n### \ud83d\udce5 \u0423\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430 \u0438\u0437 Git-\u0440\u0435\u043f\u043e\u0437\u0438\u0442\u043e\u0440\u0438\u044f\n\n#### \u0414\u043b\u044f pip\n```bash\npip install git+https://gitlab.com/Randommist/reche.git\n```\n\n#### \u0414\u043b\u044f uv\n```bash\nuv add git+https://gitlab.com/Randommist/reche.git\n```\n\n#### \u0414\u043b\u044f poetry\n```bash\npoetry add git+https://gitlab.com/Randommist/reche.git\n```\n\n---\n\n### \ud83d\udce6 \u0423\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430 \u0438\u0437 PyPI\n\n#### \u0414\u043b\u044f pip\n```bash\npip install reche\n```\n\n#### \u0414\u043b\u044f uv\n```bash\nuv add reche\n```\n\n#### \u0414\u043b\u044f poetry\n```bash\npoetry add reche\n```\n\n---\n\n## \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 (sync)\n```python\nimport time\nimport redis\nfrom reche import RedisCache\n\n\nredis_client = redis.Redis(host=\"localhost\", port=6379, db=0)\nredis_cache = RedisCache(redis_client)\n\n@redis_cache.cache()\ndef sum(a: int, b: int) -> int:\n    time.sleep(3)\n    return a + b\n\nresult = sum(1, 2)  # \u043e\u0436\u0438\u0434\u0430\u043d\u0438\u0435 3 \u0441\u0435\u043a\u0443\u043d\u0434\u044b\nprint(result)\n\nresult = sum(1, 2)  # \u043c\u043e\u043c\u0435\u043d\u0442\u0430\u043b\u044c\u043d\u043e\nprint(result)\n```\n\n## \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 (async)\n```python\nimport asyncio\nimport redis.asyncio as redis\nfrom reche import RedisCache\n\n\nredis_client = redis.Redis(host=\"localhost\", port=6379, db=0)\nredis_cache = RedisCache(redis_client)\n\n@redis_cache.cache()\nasync def sum(a: int, b: int) -> int:\n    await asyncio.sleep(3)\n    return a + b\n\nasync def main():\n    result = await sum(1, 2)  # \u043e\u0436\u0438\u0434\u0430\u043d\u0438\u0435 3 \u0441\u0435\u043a\u0443\u043d\u0434\u044b\n    print(result)\n\n    result = await sum(1, 2)  # \u043c\u043e\u043c\u0435\u043d\u0442\u0430\u043b\u044c\u043d\u043e\n    print(result)\n\nif __name__ == \"__main__\":\n    asyncio.run(main())\n```\n",
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