mirror of
https://github.com/long2ice/fastapi-cache.git
synced 2026-03-25 13:07:53 +00:00
230c24a4e0
This allows more fine-grained lint rule adjustments, and allows the examples to treat fastapi_cache as a 'third party' module, just like users of the library would use it.
129 lines
2.9 KiB
Python
129 lines
2.9 KiB
Python
# pyright: reportGeneralTypeIssues=false
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from typing import Dict, Optional
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import pendulum
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import uvicorn
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from fastapi import FastAPI
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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
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from pydantic import BaseModel
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from starlette.requests import Request
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from starlette.responses import JSONResponse, Response
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app = FastAPI()
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ret = 0
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@cache(namespace="test", expire=1)
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async def get_ret():
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global ret
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ret = ret + 1
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return ret
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@app.get("/")
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@cache(namespace="test", expire=10)
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async def index():
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return {"ret": await get_ret()}
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@app.get("/clear")
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async def clear():
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return await FastAPICache.clear(namespace="test")
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@app.get("/date")
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@cache(namespace="test", expire=10)
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async def get_date():
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return pendulum.today()
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@app.get("/datetime")
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@cache(namespace="test", expire=2)
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async def get_datetime(request: Request, response: Response):
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return {"now": pendulum.now()}
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@cache(namespace="test")
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async def func_kwargs(*unused_args, **kwargs):
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return kwargs
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@app.get("/kwargs")
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async def get_kwargs(name: str):
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return await func_kwargs(name, name=name)
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@app.get("/sync-me")
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@cache(namespace="test")
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def sync_me():
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# as per the fastapi docs, this sync function is wrapped in a thread,
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# thereby converted to async. fastapi-cache does the same.
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return 42
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@app.get("/cache_response_obj")
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@cache(namespace="test", expire=5)
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async def cache_response_obj():
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return JSONResponse({"a": 1})
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class SomeClass:
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def __init__(self, value):
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self.value = value
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async def handler_method(self):
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return self.value
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# register an instance method as a handler
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instance = SomeClass(17)
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app.get("/method")(cache(namespace="test")(instance.handler_method))
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# cache a Pydantic model instance; the return type annotation is required in this case
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class Item(BaseModel):
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name: str
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description: Optional[str] = None
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price: float
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tax: Optional[float] = None
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@app.get("/pydantic_instance")
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@cache(namespace="test", expire=5)
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async def pydantic_instance() -> Item:
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return Item(name="Something", description="An instance of a Pydantic model", price=10.5)
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put_ret = 0
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@app.put("/uncached_put")
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@cache(namespace="test", expire=5)
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async def uncached_put():
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global put_ret
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put_ret = put_ret + 1
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return {"value": put_ret}
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@app.get("/namespaced_injection")
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@cache(namespace="test", expire=5, injected_dependency_namespace="monty_python")
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def namespaced_injection(
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__fastapi_cache_request: int = 42, __fastapi_cache_response: int = 17
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) -> Dict[str, int]:
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return {
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"__fastapi_cache_request": __fastapi_cache_request,
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"__fastapi_cache_response": __fastapi_cache_response,
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}
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@app.on_event("startup")
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async def startup():
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FastAPICache.init(InMemoryBackend())
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if __name__ == "__main__":
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uvicorn.run("main:app", reload=True)
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