子依赖项¶
您可以创建具有**子依赖项**的依赖项。
它们可以根据需要**深入**。
**FastAPI** 将负责解决它们。
第一个依赖项“dependable”¶
您可以创建一个第一个依赖项(“dependable”),例如
from typing import Annotated
from fastapi import Cookie, Depends, FastAPI
app = FastAPI()
def query_extractor(q: str | None = None):
return q
def query_or_cookie_extractor(
q: Annotated[str, Depends(query_extractor)],
last_query: Annotated[str | None, Cookie()] = None,
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(
query_or_default: Annotated[str, Depends(query_or_cookie_extractor)],
):
return {"q_or_cookie": query_or_default}
from typing import Annotated, Union
from fastapi import Cookie, Depends, FastAPI
app = FastAPI()
def query_extractor(q: Union[str, None] = None):
return q
def query_or_cookie_extractor(
q: Annotated[str, Depends(query_extractor)],
last_query: Annotated[Union[str, None], Cookie()] = None,
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(
query_or_default: Annotated[str, Depends(query_or_cookie_extractor)],
):
return {"q_or_cookie": query_or_default}
from typing import Union
from fastapi import Cookie, Depends, FastAPI
from typing_extensions import Annotated
app = FastAPI()
def query_extractor(q: Union[str, None] = None):
return q
def query_or_cookie_extractor(
q: Annotated[str, Depends(query_extractor)],
last_query: Annotated[Union[str, None], Cookie()] = None,
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(
query_or_default: Annotated[str, Depends(query_or_cookie_extractor)],
):
return {"q_or_cookie": query_or_default}
提示
如果可能,最好使用Annotated
版本。
from fastapi import Cookie, Depends, FastAPI
app = FastAPI()
def query_extractor(q: str | None = None):
return q
def query_or_cookie_extractor(
q: str = Depends(query_extractor), last_query: str | None = Cookie(default=None)
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(query_or_default: str = Depends(query_or_cookie_extractor)):
return {"q_or_cookie": query_or_default}
提示
如果可能,最好使用Annotated
版本。
from typing import Union
from fastapi import Cookie, Depends, FastAPI
app = FastAPI()
def query_extractor(q: Union[str, None] = None):
return q
def query_or_cookie_extractor(
q: str = Depends(query_extractor),
last_query: Union[str, None] = Cookie(default=None),
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(query_or_default: str = Depends(query_or_cookie_extractor)):
return {"q_or_cookie": query_or_default}
它将一个可选的查询参数q
声明为str
,然后只返回它。
这非常简单(不是很有用),但将帮助我们专注于子依赖项的工作原理。
第二个依赖项,“dependable”和“dependant”¶
然后,您可以创建另一个依赖项函数(一个“dependable”),它同时声明了自己的依赖项(因此它也是一个“dependant”)
from typing import Annotated
from fastapi import Cookie, Depends, FastAPI
app = FastAPI()
def query_extractor(q: str | None = None):
return q
def query_or_cookie_extractor(
q: Annotated[str, Depends(query_extractor)],
last_query: Annotated[str | None, Cookie()] = None,
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(
query_or_default: Annotated[str, Depends(query_or_cookie_extractor)],
):
return {"q_or_cookie": query_or_default}
from typing import Annotated, Union
from fastapi import Cookie, Depends, FastAPI
app = FastAPI()
def query_extractor(q: Union[str, None] = None):
return q
def query_or_cookie_extractor(
q: Annotated[str, Depends(query_extractor)],
last_query: Annotated[Union[str, None], Cookie()] = None,
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(
query_or_default: Annotated[str, Depends(query_or_cookie_extractor)],
):
return {"q_or_cookie": query_or_default}
from typing import Union
from fastapi import Cookie, Depends, FastAPI
from typing_extensions import Annotated
app = FastAPI()
def query_extractor(q: Union[str, None] = None):
return q
def query_or_cookie_extractor(
q: Annotated[str, Depends(query_extractor)],
last_query: Annotated[Union[str, None], Cookie()] = None,
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(
query_or_default: Annotated[str, Depends(query_or_cookie_extractor)],
):
return {"q_or_cookie": query_or_default}
提示
如果可能,最好使用Annotated
版本。
from fastapi import Cookie, Depends, FastAPI
app = FastAPI()
def query_extractor(q: str | None = None):
return q
def query_or_cookie_extractor(
q: str = Depends(query_extractor), last_query: str | None = Cookie(default=None)
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(query_or_default: str = Depends(query_or_cookie_extractor)):
return {"q_or_cookie": query_or_default}
提示
如果可能,最好使用Annotated
版本。
from typing import Union
from fastapi import Cookie, Depends, FastAPI
app = FastAPI()
def query_extractor(q: Union[str, None] = None):
return q
def query_or_cookie_extractor(
q: str = Depends(query_extractor),
last_query: Union[str, None] = Cookie(default=None),
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(query_or_default: str = Depends(query_or_cookie_extractor)):
return {"q_or_cookie": query_or_default}
让我们关注声明的参数
- 即使此函数本身是依赖项(“dependable”),它也声明了另一个依赖项(它“依赖”于其他内容)。
- 它依赖于
query_extractor
,并将从中返回的值分配给参数q
。
- 它依赖于
- 它还声明了一个可选的
last_query
cookie,作为str
。- 如果用户没有提供任何查询
q
,我们将使用上次使用的查询,我们之前将其保存到 cookie 中。
- 如果用户没有提供任何查询
使用依赖项¶
然后,我们可以使用依赖项
from typing import Annotated
from fastapi import Cookie, Depends, FastAPI
app = FastAPI()
def query_extractor(q: str | None = None):
return q
def query_or_cookie_extractor(
q: Annotated[str, Depends(query_extractor)],
last_query: Annotated[str | None, Cookie()] = None,
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(
query_or_default: Annotated[str, Depends(query_or_cookie_extractor)],
):
return {"q_or_cookie": query_or_default}
from typing import Annotated, Union
from fastapi import Cookie, Depends, FastAPI
app = FastAPI()
def query_extractor(q: Union[str, None] = None):
return q
def query_or_cookie_extractor(
q: Annotated[str, Depends(query_extractor)],
last_query: Annotated[Union[str, None], Cookie()] = None,
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(
query_or_default: Annotated[str, Depends(query_or_cookie_extractor)],
):
return {"q_or_cookie": query_or_default}
from typing import Union
from fastapi import Cookie, Depends, FastAPI
from typing_extensions import Annotated
app = FastAPI()
def query_extractor(q: Union[str, None] = None):
return q
def query_or_cookie_extractor(
q: Annotated[str, Depends(query_extractor)],
last_query: Annotated[Union[str, None], Cookie()] = None,
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(
query_or_default: Annotated[str, Depends(query_or_cookie_extractor)],
):
return {"q_or_cookie": query_or_default}
提示
如果可能,最好使用Annotated
版本。
from fastapi import Cookie, Depends, FastAPI
app = FastAPI()
def query_extractor(q: str | None = None):
return q
def query_or_cookie_extractor(
q: str = Depends(query_extractor), last_query: str | None = Cookie(default=None)
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(query_or_default: str = Depends(query_or_cookie_extractor)):
return {"q_or_cookie": query_or_default}
提示
如果可能,最好使用Annotated
版本。
from typing import Union
from fastapi import Cookie, Depends, FastAPI
app = FastAPI()
def query_extractor(q: Union[str, None] = None):
return q
def query_or_cookie_extractor(
q: str = Depends(query_extractor),
last_query: Union[str, None] = Cookie(default=None),
):
if not q:
return last_query
return q
@app.get("/items/")
async def read_query(query_or_default: str = Depends(query_or_cookie_extractor)):
return {"q_or_cookie": query_or_default}
信息
请注意,我们仅在路径操作函数中声明了一个依赖项,即query_or_cookie_extractor
。
但是**FastAPI**将知道它必须首先解决query_extractor
,以便在调用query_or_cookie_extractor
时将该结果传递给它。
graph TB
query_extractor(["query_extractor"])
query_or_cookie_extractor(["query_or_cookie_extractor"])
read_query["/items/"]
query_extractor --> query_or_cookie_extractor --> read_query
多次使用相同的依赖项¶
如果您的某个依赖项为同一路径操作声明多次,例如,多个依赖项具有一个共同的子依赖项,**FastAPI**将知道每个请求仅调用该子依赖项一次。
它将把返回值保存在“缓存”中,并将其传递给该特定请求中需要它的所有“dependant”,而不是对同一请求多次调用依赖项。
在您知道需要在同一请求中的每个步骤(可能多次)调用依赖项(而不是使用“缓存”值)的高级场景中,您可以在使用Depends
时设置参数use_cache=False
async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
return {"fresh_value": fresh_value}
提示
如果可能,最好使用Annotated
版本。
async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
return {"fresh_value": fresh_value}
回顾¶
除了此处使用的所有花哨的词语外,**依赖项注入**系统非常简单。
就像路径操作函数一样的函数。
但即便如此,它仍然非常强大,允许你声明任意深度嵌套的依赖“图”(树)。
提示
通过这些简单的例子,你可能无法体会到它的全部用处。
但在关于**安全**的章节中,你将看到它的实用性。
你还会看到它能为你节省多少代码。