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fastapi-cache/examples/in_memory/main.py

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# pyright: reportGeneralTypeIssues=false
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from contextlib import asynccontextmanager
from typing import AsyncIterator, Dict, Optional
import pendulum
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import uvicorn
from fastapi import FastAPI
from fastapi_cache import FastAPICache
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from fastapi_cache.backends.inmemory import InMemoryBackend
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from fastapi_cache.decorator import cache
from pydantic import BaseModel
from starlette.requests import Request
from starlette.responses import JSONResponse, Response
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@asynccontextmanager
async def lifespan(_: FastAPI) -> AsyncIterator[None]:
FastAPICache.init(InMemoryBackend())
yield
app = FastAPI(lifespan=lifespan)
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ret = 0
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@cache(namespace="test", expire=1)
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async def get_ret():
global ret
ret = ret + 1
return ret
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@app.get("/")
@cache(namespace="test", expire=10)
async def index():
return {"ret": await get_ret()}
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@app.get("/clear")
async def clear():
return await FastAPICache.clear(namespace="test")
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@app.get("/date")
@cache(namespace="test", expire=10)
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async def get_date():
return pendulum.today()
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@app.get("/datetime")
@cache(namespace="test", expire=2)
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async def get_datetime(request: Request, response: Response):
return {"now": pendulum.now()}
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@cache(namespace="test")
async def func_kwargs(*unused_args, **kwargs):
return kwargs
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@app.get("/kwargs")
async def get_kwargs(name: str):
return await func_kwargs(name, name=name)
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@app.get("/sync-me")
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@cache(namespace="test") # pyright: ignore[reportArgumentType]
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def sync_me():
# as per the fastapi docs, this sync function is wrapped in a thread,
# thereby converted to async. fastapi-cache does the same.
return 42
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@app.get("/cache_response_obj")
@cache(namespace="test", expire=5)
async def cache_response_obj():
return JSONResponse({"a": 1})
class SomeClass:
def __init__(self, value):
self.value = value
async def handler_method(self):
return self.value
# register an instance method as a handler
instance = SomeClass(17)
app.get("/method")(cache(namespace="test")(instance.handler_method))
# cache a Pydantic model instance; the return type annotation is required in this case
class Item(BaseModel):
name: str
description: Optional[str] = None
price: float
tax: Optional[float] = None
@app.get("/pydantic_instance")
@cache(namespace="test", expire=5)
async def pydantic_instance() -> Item:
return Item(name="Something", description="An instance of a Pydantic model", price=10.5)
put_ret = 0
@app.put("/uncached_put")
@cache(namespace="test", expire=5)
async def uncached_put():
global put_ret
put_ret = put_ret + 1
return {"value": put_ret}
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put_ret2 = 0
@app.get("/cached_put")
@cache(namespace="test", expire=5)
async def cached_put():
global put_ret2
put_ret2 = put_ret2 + 1
return {"value": put_ret2}
@app.get("/namespaced_injection")
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@cache(namespace="test", expire=5, injected_dependency_namespace="monty_python") # pyright: ignore[reportArgumentType]
def namespaced_injection(
__fastapi_cache_request: int = 42, __fastapi_cache_response: int = 17
) -> Dict[str, int]:
return {
"__fastapi_cache_request": __fastapi_cache_request,
"__fastapi_cache_response": __fastapi_cache_response,
}
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if __name__ == "__main__":
uvicorn.run("main:app", reload=True)