红区

只是一个 python 库，使 reddit 帖子缓存更容易。

缓存选项

1. 内存缓存
2. Redis 缓存
3. 泡菜缓存

用法

安装：

• 发展

poetry add git+https://github.com/CaffeineDuck/reddist

• 稳定的

poetry add reddist

泡菜用法：

import asyncio
import random
from dataclasses import asdict

async def main():
    reddit_cacher = PickleRedditCacher(
            Reddit(
                user_agent="dpydit",
                client_id="CLIENT_ID",
                client_secret="CLIENT_SECRET",
            ),
            'cache.pickle',
            cached_posts_count=100,
        )

    reddit_cacher.start_caching()
    posts = await reddit_cacher.get_subreddit_posts("pics")
    print(asdict(random.choice(posts)))

if __name__ == "__main__":
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())

内存使用情况：

import asyncio
import random
from dataclasses import asdict

async def main():
    reddit_cacher = MemoryRedditCacher(
            Reddit(
                user_agent="dpydit",
                client_id="CLIENT_ID",
                client_secret="CLIENT_SECRET",
            ),
            cached_posts_count=100,
        )

    reddit_cacher.start_caching()
    posts = await reddit_cacher.get_subreddit_posts("pics")
    print(asdict(random.choice(posts)))

if __name__ == "__main__":
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())

Redis 用法：

import asyncio
import random
from dataclasses import asdict

import aioredis

async def main():
    redis = aioredis.from_url(
        "redis://localhost"
    )
    async with redis.client() as conn:
        reddit_cacher = RedisRedditCacher(
            Reddit(
                user_agent="dpydit",
                client_id="CLIENT_ID",
                client_secret="CLIENT_SECRET",
            ),
            conn,
            cached_posts_count=100
        )
        posts = await reddit_cacher.get_subreddit_posts("pics")
        print(asdict(random.choice(posts)))

if __name__ == "__main__":
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())

WIP（预期重大变化）