额外的数据类型¶
到目前为止,您一直在使用常见的数据类型,例如
int
float
str
bool
但您也可以使用更复杂的数据类型。
并且您仍然可以获得与迄今为止所见相同的特性
- 出色的编辑器支持。
- 从传入请求中转换数据。
- 转换响应数据。
- 数据验证。
- 自动注释和文档。
其他数据类型¶
以下是一些您可以使用的额外数据类型
UUID
:- 标准的“通用唯一标识符”,在许多数据库和系统中常用作 ID。
- 在请求和响应中将表示为
str
。
datetime.datetime
:- Python
datetime.datetime
。 - 在请求和响应中将表示为 ISO 8601 格式的
str
,例如:2008-09-15T15:53:00+05:00
。
- Python
datetime.date
:- Python
datetime.date
。 - 在请求和响应中将表示为 ISO 8601 格式的
str
,例如:2008-09-15
。
- Python
datetime.time
:- Python
datetime.time
。 - 在请求和响应中将表示为 ISO 8601 格式的
str
,例如:14:23:55.003
。
- Python
datetime.timedelta
:- Python
datetime.timedelta
。 - 在请求和响应中将表示为总秒数的
float
。 - Pydantic 还允许将其表示为“ISO 8601 时间差编码”,查看文档以获取更多信息。
- Python
frozenset
:- 在请求和响应中,与
set
的处理方式相同- 在请求中,将读取列表,消除重复项并将其转换为
set
。 - 在响应中,
set
将转换为list
。 - 生成的模式将指定
set
值是唯一的(使用 JSON 模式中的uniqueItems
)。
- 在请求中,将读取列表,消除重复项并将其转换为
- 在请求和响应中,与
bytes
:- 标准 Python
bytes
。 - 在请求和响应中将被视为
str
。 - 生成的模式将指定它是一个带有
binary
“格式”的str
。
- 标准 Python
Decimal
:- 标准 Python
Decimal
。 - 在请求和响应中,与
float
的处理方式相同。
- 标准 Python
- 您可以在此处查看所有有效的 Pydantic 数据类型:Pydantic 数据类型。
示例¶
这是一个使用上述某些类型的参数的路径操作示例。
from datetime import datetime, time, timedelta
from typing import Annotated
from uuid import UUID
from fastapi import Body, FastAPI
app = FastAPI()
@app.put("/items/{item_id}")
async def read_items(
item_id: UUID,
start_datetime: Annotated[datetime, Body()],
end_datetime: Annotated[datetime, Body()],
process_after: Annotated[timedelta, Body()],
repeat_at: Annotated[time | None, Body()] = None,
):
start_process = start_datetime + process_after
duration = end_datetime - start_process
return {
"item_id": item_id,
"start_datetime": start_datetime,
"end_datetime": end_datetime,
"process_after": process_after,
"repeat_at": repeat_at,
"start_process": start_process,
"duration": duration,
}
from datetime import datetime, time, timedelta
from typing import Annotated, Union
from uuid import UUID
from fastapi import Body, FastAPI
app = FastAPI()
@app.put("/items/{item_id}")
async def read_items(
item_id: UUID,
start_datetime: Annotated[datetime, Body()],
end_datetime: Annotated[datetime, Body()],
process_after: Annotated[timedelta, Body()],
repeat_at: Annotated[Union[time, None], Body()] = None,
):
start_process = start_datetime + process_after
duration = end_datetime - start_process
return {
"item_id": item_id,
"start_datetime": start_datetime,
"end_datetime": end_datetime,
"process_after": process_after,
"repeat_at": repeat_at,
"start_process": start_process,
"duration": duration,
}
from datetime import datetime, time, timedelta
from typing import Union
from uuid import UUID
from fastapi import Body, FastAPI
from typing_extensions import Annotated
app = FastAPI()
@app.put("/items/{item_id}")
async def read_items(
item_id: UUID,
start_datetime: Annotated[datetime, Body()],
end_datetime: Annotated[datetime, Body()],
process_after: Annotated[timedelta, Body()],
repeat_at: Annotated[Union[time, None], Body()] = None,
):
start_process = start_datetime + process_after
duration = end_datetime - start_process
return {
"item_id": item_id,
"start_datetime": start_datetime,
"end_datetime": end_datetime,
"process_after": process_after,
"repeat_at": repeat_at,
"start_process": start_process,
"duration": duration,
}
提示
如果可能,最好使用 Annotated
版本。
from datetime import datetime, time, timedelta
from uuid import UUID
from fastapi import Body, FastAPI
app = FastAPI()
@app.put("/items/{item_id}")
async def read_items(
item_id: UUID,
start_datetime: datetime = Body(),
end_datetime: datetime = Body(),
process_after: timedelta = Body(),
repeat_at: time | None = Body(default=None),
):
start_process = start_datetime + process_after
duration = end_datetime - start_process
return {
"item_id": item_id,
"start_datetime": start_datetime,
"end_datetime": end_datetime,
"process_after": process_after,
"repeat_at": repeat_at,
"start_process": start_process,
"duration": duration,
}
提示
如果可能,最好使用 Annotated
版本。
from datetime import datetime, time, timedelta
from typing import Union
from uuid import UUID
from fastapi import Body, FastAPI
app = FastAPI()
@app.put("/items/{item_id}")
async def read_items(
item_id: UUID,
start_datetime: datetime = Body(),
end_datetime: datetime = Body(),
process_after: timedelta = Body(),
repeat_at: Union[time, None] = Body(default=None),
):
start_process = start_datetime + process_after
duration = end_datetime - start_process
return {
"item_id": item_id,
"start_datetime": start_datetime,
"end_datetime": end_datetime,
"process_after": process_after,
"repeat_at": repeat_at,
"start_process": start_process,
"duration": duration,
}
请注意,函数内的参数具有其自然数据类型,例如,您可以执行正常的日期操作,例如
from datetime import datetime, time, timedelta
from typing import Annotated
from uuid import UUID
from fastapi import Body, FastAPI
app = FastAPI()
@app.put("/items/{item_id}")
async def read_items(
item_id: UUID,
start_datetime: Annotated[datetime, Body()],
end_datetime: Annotated[datetime, Body()],
process_after: Annotated[timedelta, Body()],
repeat_at: Annotated[time | None, Body()] = None,
):
start_process = start_datetime + process_after
duration = end_datetime - start_process
return {
"item_id": item_id,
"start_datetime": start_datetime,
"end_datetime": end_datetime,
"process_after": process_after,
"repeat_at": repeat_at,
"start_process": start_process,
"duration": duration,
}
from datetime import datetime, time, timedelta
from typing import Annotated, Union
from uuid import UUID
from fastapi import Body, FastAPI
app = FastAPI()
@app.put("/items/{item_id}")
async def read_items(
item_id: UUID,
start_datetime: Annotated[datetime, Body()],
end_datetime: Annotated[datetime, Body()],
process_after: Annotated[timedelta, Body()],
repeat_at: Annotated[Union[time, None], Body()] = None,
):
start_process = start_datetime + process_after
duration = end_datetime - start_process
return {
"item_id": item_id,
"start_datetime": start_datetime,
"end_datetime": end_datetime,
"process_after": process_after,
"repeat_at": repeat_at,
"start_process": start_process,
"duration": duration,
}
from datetime import datetime, time, timedelta
from typing import Union
from uuid import UUID
from fastapi import Body, FastAPI
from typing_extensions import Annotated
app = FastAPI()
@app.put("/items/{item_id}")
async def read_items(
item_id: UUID,
start_datetime: Annotated[datetime, Body()],
end_datetime: Annotated[datetime, Body()],
process_after: Annotated[timedelta, Body()],
repeat_at: Annotated[Union[time, None], Body()] = None,
):
start_process = start_datetime + process_after
duration = end_datetime - start_process
return {
"item_id": item_id,
"start_datetime": start_datetime,
"end_datetime": end_datetime,
"process_after": process_after,
"repeat_at": repeat_at,
"start_process": start_process,
"duration": duration,
}
提示
如果可能,最好使用 Annotated
版本。
from datetime import datetime, time, timedelta
from uuid import UUID
from fastapi import Body, FastAPI
app = FastAPI()
@app.put("/items/{item_id}")
async def read_items(
item_id: UUID,
start_datetime: datetime = Body(),
end_datetime: datetime = Body(),
process_after: timedelta = Body(),
repeat_at: time | None = Body(default=None),
):
start_process = start_datetime + process_after
duration = end_datetime - start_process
return {
"item_id": item_id,
"start_datetime": start_datetime,
"end_datetime": end_datetime,
"process_after": process_after,
"repeat_at": repeat_at,
"start_process": start_process,
"duration": duration,
}
提示
如果可能,最好使用 Annotated
版本。
from datetime import datetime, time, timedelta
from typing import Union
from uuid import UUID
from fastapi import Body, FastAPI
app = FastAPI()
@app.put("/items/{item_id}")
async def read_items(
item_id: UUID,
start_datetime: datetime = Body(),
end_datetime: datetime = Body(),
process_after: timedelta = Body(),
repeat_at: Union[time, None] = Body(default=None),
):
start_process = start_datetime + process_after
duration = end_datetime - start_process
return {
"item_id": item_id,
"start_datetime": start_datetime,
"end_datetime": end_datetime,
"process_after": process_after,
"repeat_at": repeat_at,
"start_process": start_process,
"duration": duration,
}