pg-cache 0.1.5

A PostgreSQL wrapper similar to diskcache

PgCache and AsyncPgCache Usage Guide

Introduction

PgCache and AsyncPgCache are cache management classes for PostgreSQL databases. PgCache provides synchronous operations, while AsyncPgCache offers asynchronous operations. They allow you to cache data in a PostgreSQL database and provide functionalities to set, get, delete, and import/export cache entries.

Installation

Before using these classes, ensure you have the following Python packages installed:

pip install -r requirements.txt
or pip install pg-cache

Usage

PgCache

Initialization

from pg_cache import PgCache

db_url = "postgresql://user:password@localhost/dbname"
table_name = "cache_table"
cache = PgCache(db_url, table_name)
cache.init_db()

Set Cache

cache.set("my_key", "my_value", expire_after_seconds=3600)

Set Bulk Cache

entries

= [
    {"key": "key1", "value": "value1"},
    {"key": "key2", "value": "value2"}
]
cache.set_bulk(entries, expire_after_seconds=3600)

Get Cache

value = cache.get("my_key")

Delete Cache

cache.delete("my_key")

Delete Bulk Cache

keys = ["key1", "key2"]
cache.delete_bulk(keys)

Flush Cache

cache.flushdb()

Export Cache to File

cache.export_to_file("cache_backup.json")

Import Cache from File

cache.import_from_file("cache_backup.json")

AsyncPgCache

Initialization

import asyncio
from your_module import AsyncPgCache

db_url = "postgresql+asyncpg://user:password@localhost/dbname"
table_name = "cache_table"
cache = AsyncPgCache(db_url, table_name)


async def init():
    await cache.init_db()


asyncio.run(init())

Set Cache

async def set_cache():
    await cache.set("my_key", "my_value", expire_after_seconds=3600)


asyncio.run(set_cache())

Set Bulk Cache

entries = [
    {"key": "key1", "value": "value1"},
    {"key": "key2", "value": "value2"}
]


async def set_bulk_cache():
    await cache.set_bulk(entries, expire_after_seconds=3600)


asyncio.run(set_bulk_cache())

Get Cache

async def get_cache():
    value = await cache.get("my_key")
    print(value)


asyncio.run(get_cache())

Delete Cache

async def delete_cache():
    await cache.delete("my_key")


asyncio.run(delete_cache())

Delete Bulk Cache

keys = ["key1", "key2"]


async def delete_bulk_cache():
    await cache.delete_bulk(keys)


asyncio.run(delete_bulk_cache())

Flush Cache

async def flush_cache():
    await cache.flushdb()


asyncio.run(flush_cache())

Export Cache to File

async def export_cache():
    await cache.export_to_file("cache_backup.json")


asyncio.run(export_cache())

Import Cache from File

async def import_cache():
    await cache.import_from_file("cache_backup.json")


asyncio.run(import_cache())

Logging

You can control the logging level by setting the log_level parameter when initializing PgCache or AsyncPgCache. For example:

cache = PgCache(db_url, table_name, log_level=logging.INFO)

Conclusion

PgCache and AsyncPgCache provide powerful cache management functionalities suitable for applications that need to cache data in a PostgreSQL database. With both synchronous and asynchronous implementations, you can choose the appropriate method based on your needs.