谁能给我解释一下以下pydantic模型的行为?
from datetime import datetime
from pydantic import BaseModel
first_format = {'time': '2018-01-05T16:59:33+00:00',}
second_format = {'time': '2021-03-05T08:21:00.000Z',}
class TimeModel(BaseModel):
time: datetime
class Config:
json_encoders = {
datetime: lambda v: v.isoformat(),
}
json_decoders = {
datetime: lambda v: datetime.fromisoformat(v),
}
print(TimeModel.parse_obj(first_format))
print("first_format successfull")
print(TimeModel.parse_obj(second_format))
print("second_format successfull")
输出:
time=datetime.datetime(2018, 1, 5, 16, 59, 33, tzinfo=datetime.timezone.utc)
first_format successfull
time=datetime.datetime(2021, 3, 5, 8, 21, tzinfo=datetime.timezone.utc)
second_format successfull
预期行为:
在first_format
上工作,但在second_format
上失败,因为datetime.fromisoformat(second_format)
抛出错误的格式
我想做什么:
只解析具有first_format
格式的时间,否则引发异常。
谢谢你的帮助
编辑:我后来意识到没有json_decoders
这样的东西,所以请不要被这个
弄糊涂了。问题解决
您需要在这里使用pre
validator
,以便解析和验证传入的日期时间字符串:
from datetime import datetime
from pydantic import BaseModel, validator
first_format = {'time': '2018-01-05T16:59:33+00:00',}
second_format = {'time': '2021-03-05T08:21:00.000Z',}
class TimeModel(BaseModel):
time: datetime
class Config:
json_encoders = {
datetime: lambda v: v.isoformat(),
}
@validator('time', pre=True)
def time_validate(cls, v):
return datetime.fromisoformat(v)
print(TimeModel.parse_obj(first_format).json())
print("first_format successfull")
print(TimeModel.parse_obj(second_format))
print("second_format successfull")