import time

import pendulum
import redis.asyncio as redis
import uvicorn
from fastapi import FastAPI
from redis.asyncio.connection import ConnectionPool
from starlette.requests import Request
from starlette.responses import Response

from fastapi_cache import FastAPICache
from fastapi_cache.backends.redis import RedisBackend
from fastapi_cache.decorator import cache

app = FastAPI()

ret = 0


@cache(namespace="test", expire=1)
async def get_ret():
    global ret
    ret = ret + 1
    return ret


@app.get("/")
@cache(namespace="test", expire=10)
async def index():
    return dict(ret=await get_ret())


@app.get("/clear")
async def clear():
    return await FastAPICache.clear(namespace="test")


@app.get("/date")
@cache(namespace="test", expire=10)
async def get_data(request: Request, response: Response):
    return pendulum.today()


# Note: This function MUST be sync to demonstrate fastapi-cache's correct handling,
# i.e. running cached sync functions in threadpool just like FastAPI itself!
@app.get("/blocking")
@cache(namespace="test", expire=10)
def blocking():
    time.sleep(5)
    return dict(ret=get_ret())


@app.get("/datetime")
@cache(namespace="test", expire=2)
async def get_datetime(request: Request, response: Response):
    print(request, response)
    return pendulum.now()


@app.on_event("startup")
async def startup():
    pool = ConnectionPool.from_url(url="redis://redis")
    r = redis.Redis(connection_pool=pool)
    FastAPICache.init(RedisBackend(r), prefix="fastapi-cache")


if __name__ == "__main__":
    uvicorn.run("main:app", debug=True, reload=True)