Richard Xia 02a076d14f mypy plugin: More precisely detect when fields are required. (#4086)
The mypy plugin would previously incorrectly determine that a field was
not required in a few scenarios where the field really is required. This
specifically affected cases when the `Field()` function is used, where
the plugin assumed that the first argument would always be `default`.

This changes the code to examine each argument more closely, and it now
properly handles several more scenarios where the default is explicitly
named or when the default_factory named argument is used.
2022-08-08 16:29:26 +01:00
2022-08-08 15:14:35 +00:00
2022-08-05 11:22:43 +00:00
2022-07-06 08:52:01 +02:00
2021-02-26 16:38:26 +00:00
2022-07-06 08:52:01 +02:00
2022-07-27 10:11:19 +01:00

pydantic

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Data validation and settings management using Python type hints.

Fast and extensible, pydantic plays nicely with your linters/IDE/brain. Define how data should be in pure, canonical Python 3.7+; validate it with pydantic.

Help

See documentation for more details.

Installation

Install using pip install -U pydantic or conda install pydantic -c conda-forge. For more installation options to make pydantic even faster, see the Install section in the documentation.

A Simple Example

from datetime import datetime
from typing import List, Optional
from pydantic import BaseModel

class User(BaseModel):
    id: int
    name = 'John Doe'
    signup_ts: Optional[datetime] = None
    friends: List[int] = []

external_data = {'id': '123', 'signup_ts': '2017-06-01 12:22', 'friends': [1, '2', b'3']}
user = User(**external_data)
print(user)
#> User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3]
print(user.id)
#> 123

Contributing

For guidance on setting up a development environment and how to make a contribution to pydantic, see Contributing to Pydantic.

Reporting a Security Vulnerability

See our security policy.

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