Pydantic downloads statistics

Features

Implemented

pydantic.BaseModel

• Model-specific __init__-signature inspection and autocompletion for subclasses of pydantic.BaseModel • Model-specific __init__-arguments type-checking for subclasses of pydantic.BaseModel • Refactor support for renaming fields for subclasses of BaseModel • (If the field name is refactored from the model definition or __init__ call keyword arguments, PyCharm will present a dialog offering the choice to automatically rename the keyword where it occurs in a model initialization call.) • Search related-fields by class attributes and keyword arguments of __init__ with Ctrl+B and Cmd+B • Provide an inspection for type-checking which is compatible with pydantic. the inspection supports parsable-type. the detail is at Inspection for type-checking section • Insert unfilled arguments with a QuickFix for subclasses of pydantic.BaseModel • Support typing.Annotated (PEP 593) • Regex arguments in Field and constr are treated as Python's regex string literals • Config/ConfigDict support • Auto-completion for Config/ConfigDict • Read Model config such frozen=True from Config/ConfigDict • validator/field_validator support • respect first argument is cls of the method • Auto-completion for field name arguments of validator/field_validator • Associate validator/field_validator with field • Support refactoring/jumping • Validate field name on validator arguments

pydantic.generics.GenericModel

• Support same features as pydantic.BaseModel • (This plugin version 0.3.1 or later)

pydantic.dataclasses.dataclass

• Support same features as pydantic.BaseModel • (After PyCharm 2020.2 and this plugin version 0.1.0, PyCharm treats pydantic.dataclasses.dataclass as third-party dataclass.)

pydantic.create_model [experimental]

• Support minimum features for a model which is created by create_model

Description from the JetBrains Marketplace listing.