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fastapifastapifastapi devfastapi runfastapi devfastapi runpyproject.tomlpyproject.tomlpyproject.toml[tool.fastapi]
entrypoint = "my_app.main:app"pyproject.toml[tool.fastapi]
entrypoint = "my_app.main:app"fastapifastapipyproject.tomlfastapifastapi dev my_app/main.pypyproject.tomlpyproject.tomlfastapifastapi dev my_app/main.pypyproject.tomlAnnotatedAnnotatedAnnotatedAnnotatedAnnotatedPathQueryHeaderfrom typing import Annotated
from fastapi import FastAPI, Path, Query
app = FastAPI()
@app.get("/items/{item_id}")
async def read_item(
item_id: Annotated[int, Path(ge=1, description="The item ID")],
q: Annotated[str | None, Query(max_length=50)] = None,
):
return {"message": "Hello World"}undefinedAnnotatedPathQueryHeaderfrom typing import Annotated
from fastapi import FastAPI, Path, Query
app = FastAPI()
@app.get("/items/{item_id}")
async def read_item(
item_id: Annotated[int, Path(ge=1, description="The item ID")],
q: Annotated[str | None, Query(max_length=50)] = None,
):
return {"message": "Hello World"}undefinedundefinedundefinedAnnotatedDepends()from typing import Annotated
from fastapi import Depends, FastAPI
app = FastAPI()
def get_current_user():
return {"username": "johndoe"}
CurrentUserDep = Annotated[dict, Depends(get_current_user)]
@app.get("/items/")
async def read_item(current_user: CurrentUserDep):
return {"message": "Hello World"}undefinedDepends()Annotatedfrom typing import Annotated
from fastapi import Depends, FastAPI
app = FastAPI()
def get_current_user():
return {"username": "johndoe"}
CurrentUserDep = Annotated[dict, Depends(get_current_user)]
@app.get("/items/")
async def read_item(current_user: CurrentUserDep):
return {"message": "Hello World"}undefinedundefinedundefined......from typing import Annotated
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
class Item(BaseModel):
name: str
description: str | None = None
price: float = Field(gt=0)
app = FastAPI()
@app.post("/items/")
async def create_item(item: Item, project_id: Annotated[int, Query()]): ...undefined......from typing import Annotated
from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
class Item(BaseModel):
name: str
description: str | None = None
price: float = Field(gt=0)
app = FastAPI()
@app.post("/items/")
async def create_item(item: Item, project_id: Annotated[int, Query()]): ...undefinedundefinedundefinedfrom fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: str | None = None
@app.get("/items/me")
async def get_item() -> Item:
return Item(name="Plumbus", description="All-purpose home device")from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: str | None = None
@app.get("/items/me")
async def get_item() -> Item:
return Item(name="Plumbus", description="All-purpose home device")response_modelresponse_modelresponse_modelfrom typing import Any
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: str | None = None
@app.get("/items/me", response_model=Item)
async def get_item() -> Any:
return {"name": "Foo", "description": "A very nice Item"}from typing import Any
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class InternalItem(BaseModel):
name: str
description: str | None = None
secret_key: str
class Item(BaseModel):
name: str
description: str | None = None
@app.get("/items/me", response_model=Item)
async def get_item() -> Any:
item = InternalItem(
name="Foo", description="A very nice Item", secret_key="supersecret"
)
return itemresponse_modelfrom typing import Any
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: str | None = None
@app.get("/items/me", response_model=Item)
async def get_item() -> Any:
return {"name": "Foo", "description": "A very nice Item"}from typing import Any
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class InternalItem(BaseModel):
name: str
description: str | None = None
secret_key: str
class Item(BaseModel):
name: str
description: str | None = None
@app.get("/items/me", response_model=Item)
async def get_item() -> Any:
item = InternalItem(
name="Foo", description="A very nice Item", secret_key="supersecret"
)
return itemORJSONResponseUJSONResponseORJSONResponseUJSONResponseinclude_router()from fastapi import APIRouter, FastAPI
app = FastAPI()
router = APIRouter(prefix="/items", tags=["items"])
@router.get("/")
async def list_items():
return []include_router()from fastapi import APIRouter, FastAPI
app = FastAPI()
router = APIRouter(prefix="/items", tags=["items"])
@router.get("/")
async def list_items():
return []
instead of this:
```python
而非:
```python
There could be exceptions, but try to follow this convention.
Apply shared dependencies at the router level via `dependencies=[Depends(...)]`.
可能存在例外情况,但请尽量遵循此约定。
通过`dependencies=[Depends(...)]`在路由级别应用共享依赖项。yieldyieldyieldscopeyieldscopeyieldscope"request"from typing import Annotated
from fastapi import Depends, FastAPI
app = FastAPI()
def get_db():
db = DBSession()
try:
yield db
finally:
db.close()
DBDep = Annotated[DBSession, Depends(get_db)]
@app.get("/items/")
async def read_items(db: DBDep):
return db.query(Item).all()"function"from typing import Annotated
from fastapi import Depends, FastAPI
app = FastAPI()
def get_username():
try:
yield "Rick"
finally:
print("Cleanup up before response is sent")
UserNameDep = Annotated[str, Depends(get_username, scope="function")]
@app.get("/users/me")
def get_user_me(username: UserNameDep):
return usernameyieldscope"request"from typing import Annotated
from fastapi import Depends, FastAPI
app = FastAPI()
def get_db():
db = DBSession()
try:
yield db
finally:
db.close()
DBDep = Annotated[DBSession, Depends(get_db)]
@app.get("/items/")
async def read_items(db: DBDep):
return db.query(Item).all()"function"from typing import Annotated
from fastapi import Depends, FastAPI
app = FastAPI()
def get_username():
try:
yield "Rick"
finally:
print("Cleanup up before response is sent")
UserNameDep = Annotated[str, Depends(get_username, scope="function")]
@app.get("/users/me")
def get_user_me(username: UserNameDep):
return usernamefrom dataclasses import dataclass
from typing import Annotated
from fastapi import Depends, FastAPI
app = FastAPI()
@dataclass
class DatabasePaginator:
offset: int = 0
limit: int = 100
q: str | None = None
def get_page(self) -> dict:
# Simulate a page of data
return {
"offset": self.offset,
"limit": self.limit,
"q": self.q,
"items": [],
}
def get_db_paginator(
offset: int = 0, limit: int = 100, q: str | None = None
) -> DatabasePaginator:
return DatabasePaginator(offset=offset, limit=limit, q=q)
PaginatorDep = Annotated[DatabasePaginator, Depends(get_db_paginator)]
@app.get("/items/")
async def read_items(paginator: PaginatorDep):
return paginator.get_page()undefinedfrom dataclasses import dataclass
from typing import Annotated
from fastapi import Depends, FastAPI
app = FastAPI()
@dataclass
class DatabasePaginator:
offset: int = 0
limit: int = 100
q: str | None = None
def get_page(self) -> dict:
# Simulate a page of data
return {
"offset": self.offset,
"limit": self.limit,
"q": self.q,
"items": [],
}
def get_db_paginator(
offset: int = 0, limit: int = 100, q: str | None = None
) -> DatabasePaginator:
return DatabasePaginator(offset=offset, limit=limit, q=q)
PaginatorDep = Annotated[DatabasePaginator, Depends(get_db_paginator)]
@app.get("/items/")
async def read_items(paginator: PaginatorDep):
return paginator.get_page()undefineddef get_page(self) -> dict:
# Simulate a page of data
return {
"offset": self.offset,
"limit": self.limit,
"q": self.q,
"items": [],
}undefineddef get_page(self) -> dict:
# Simulate a page of data
return {
"offset": self.offset,
"limit": self.limit,
"q": self.q,
"items": [],
}undefinedasyncawaitfrom fastapi import FastAPI
app = FastAPI()awaitasyncfrom fastapi import FastAPI
app = FastAPI()
In case of doubt, or by default, use regular `def` functions, those will be run in a threadpool so they don't block the event loop.
The same rules apply to dependencies.
Make sure blocking code is not run inside of `async` functions. The logic will work, but will damage the performance heavily.
存疑时或默认情况下,使用普通`def`函数,它们会在线程池中运行,不会阻塞事件循环。
相同规则适用于依赖项。
确保阻塞代码不会在`async`函数中运行。逻辑虽能正常工作,但会严重影响性能。uv add asyncerasyncify()from asyncer import asyncify
from fastapi import FastAPI
app = FastAPI()
def do_blocking_work(name: str) -> str:
# Some blocking I/O operation
return f"Hello {name}"
@app.get("/items/")
async def read_items():
result = await asyncify(do_blocking_work)(name="World")
return {"message": result}syncify()from asyncer import syncify
from fastapi import FastAPI
app = FastAPI()
async def do_async_work(name: str) -> str:
return f"Hello {name}"
@app.get("/items/")
def read_items():
result = syncify(do_async_work)(name="World")
return {"message": result}uv add asyncerasyncify()from asyncer import asyncify
from fastapi import FastAPI
app = FastAPI()
def do_blocking_work(name: str) -> str:
# Some blocking I/O operation
return f"Hello {name}"
@app.get("/items/")
async def read_items():
result = await asyncify(do_blocking_work)(name="World")
return {"message": result}syncify()from asyncer import syncify
from fastapi import FastAPI
app = FastAPI()
async def do_async_work(name: str) -> str:
return f"Hello {name}"
@app.get("/items/")
def read_items():
result = syncify(do_async_work)(name="World")
return {"message": result}yield@app.get("/items/stream")
async def stream_items() -> AsyncIterable[Item]:
for item in items:
yield itemyield@app.get("/items/stream")
async def stream_items() -> AsyncIterable[Item]:
for item in items:
yield itemresponse_class=StreamingResponseyieldfrom fastapi import FastAPI
from fastapi.responses import StreamingResponse
from app.utils import read_image
app = FastAPI()
class PNGStreamingResponse(StreamingResponse):
media_type = "image/png"
@app.get("/image", response_class=PNGStreamingResponse)
def stream_image_no_async_no_annotation():
with read_image() as image_file:
yield from image_fileStreamingResponseundefinedresponse_class=StreamingResponseyieldfrom fastapi import FastAPI
from fastapi.responses import StreamingResponse
from app.utils import read_image
app = FastAPI()
class PNGStreamingResponse(StreamingResponse):
media_type = "image/png"
@app.get("/image", response_class=PNGStreamingResponse)
def stream_image_no_async_no_annotation():
with read_image() as image_file:
yield from image_fileStreamingResponseundefinedundefinedundefinedRootModelAnnotatedfrom typing import Annotated
from fastapi import Body, FastAPI
from pydantic import Field
app = FastAPI()
@app.post("/items/")
async def create_items(items: Annotated[list[int], Field(min_length=1), Body()]):
return itemsundefinedRootModelAnnotatedfrom typing import Annotated
from fastapi import Body, FastAPI
from pydantic import Field
app = FastAPI()
@app.post("/items/")
async def create_items(items: Annotated[list[int], Field(min_length=1), Body()]):
return itemsundefined
FastAPI supports these type annotations and will create a Pydantic `TypeAdapter` for them, so that types can work as normally and there's no need for the custom logic and types in RootModels.
FastAPI支持这些类型注解,并会为其创建Pydantic `TypeAdapter`,因此类型可正常工作,无需RootModels中的自定义逻辑和类型。from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
@app.get("/items/")
async def list_items():
return []
@app.post("/items/")
async def create_item(item: Item):
return itemundefinedfrom fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
@app.get("/items/")
async def list_items():
return []
@app.post("/items/")
async def create_item(item: Item):
return itemundefinedundefinedundefined