691 lines
27 KiB
Python
691 lines
27 KiB
Python
from configparser import ConfigParser
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from typing import Any, Callable, Dict, List, Optional, Set, Tuple, Type as TypingType, Union
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from mypy.errorcodes import ErrorCode
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from mypy.nodes import (
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ARG_NAMED,
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ARG_NAMED_OPT,
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ARG_OPT,
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ARG_POS,
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ARG_STAR2,
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MDEF,
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Argument,
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AssignmentStmt,
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Block,
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CallExpr,
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ClassDef,
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Context,
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Decorator,
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EllipsisExpr,
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FuncBase,
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FuncDef,
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JsonDict,
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MemberExpr,
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NameExpr,
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PassStmt,
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PlaceholderNode,
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RefExpr,
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StrExpr,
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SymbolNode,
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SymbolTableNode,
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TempNode,
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TypeInfo,
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TypeVarExpr,
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Var,
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)
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from mypy.options import Options
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from mypy.plugin import CheckerPluginInterface, ClassDefContext, MethodContext, Plugin, SemanticAnalyzerPluginInterface
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from mypy.plugins import dataclasses
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from mypy.semanal import set_callable_name # type: ignore
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from mypy.server.trigger import make_wildcard_trigger
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from mypy.types import (
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AnyType,
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CallableType,
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Instance,
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NoneType,
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Type,
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TypeOfAny,
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TypeType,
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TypeVarDef,
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TypeVarType,
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UnionType,
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get_proper_type,
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)
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from mypy.typevars import fill_typevars
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from mypy.util import get_unique_redefinition_name
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CONFIGFILE_KEY = 'pydantic-mypy'
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METADATA_KEY = 'pydantic-mypy-metadata'
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BASEMODEL_FULLNAME = 'pydantic.main.BaseModel'
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BASESETTINGS_FULLNAME = 'pydantic.env_settings.BaseSettings'
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FIELD_FULLNAME = 'pydantic.fields.Field'
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DATACLASS_FULLNAME = 'pydantic.dataclasses.dataclass'
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def plugin(version: str) -> 'TypingType[Plugin]':
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"""
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`version` is the mypy version string
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We might want to use this to print a warning if the mypy version being used is
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newer, or especially older, than we expect (or need).
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"""
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return PydanticPlugin
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class PydanticPlugin(Plugin):
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def __init__(self, options: Options) -> None:
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self.plugin_config = PydanticPluginConfig(options)
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super().__init__(options)
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def get_base_class_hook(self, fullname: str) -> 'Optional[Callable[[ClassDefContext], None]]':
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sym = self.lookup_fully_qualified(fullname)
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if sym and isinstance(sym.node, TypeInfo): # pragma: no branch
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# No branching may occur if the mypy cache has not been cleared
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if any(get_fullname(base) == BASEMODEL_FULLNAME for base in sym.node.mro):
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return self._pydantic_model_class_maker_callback
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return None
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def get_method_hook(self, fullname: str) -> Optional[Callable[[MethodContext], Type]]:
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if fullname.endswith('.from_orm'):
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return from_orm_callback
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return None
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def get_class_decorator_hook(self, fullname: str) -> Optional[Callable[[ClassDefContext], None]]:
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if fullname == DATACLASS_FULLNAME:
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return dataclasses.dataclass_class_maker_callback
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return None
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def _pydantic_model_class_maker_callback(self, ctx: ClassDefContext) -> None:
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transformer = PydanticModelTransformer(ctx, self.plugin_config)
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transformer.transform()
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class PydanticPluginConfig:
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__slots__ = ('init_forbid_extra', 'init_typed', 'warn_required_dynamic_aliases', 'warn_untyped_fields')
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init_forbid_extra: bool
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init_typed: bool
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warn_required_dynamic_aliases: bool
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warn_untyped_fields: bool
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def __init__(self, options: Options) -> None:
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if options.config_file is None: # pragma: no cover
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return
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plugin_config = ConfigParser()
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plugin_config.read(options.config_file)
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for key in self.__slots__:
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setting = plugin_config.getboolean(CONFIGFILE_KEY, key, fallback=False)
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setattr(self, key, setting)
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def from_orm_callback(ctx: MethodContext) -> Type:
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"""
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Raise an error if orm_mode is not enabled
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"""
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model_type: Instance
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if isinstance(ctx.type, CallableType) and isinstance(ctx.type.ret_type, Instance):
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model_type = ctx.type.ret_type # called on the class
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elif isinstance(ctx.type, Instance):
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model_type = ctx.type # called on an instance (unusual, but still valid)
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else: # pragma: no cover
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detail = f'ctx.type: {ctx.type} (of type {ctx.type.__class__.__name__})'
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error_unexpected_behavior(detail, ctx.api, ctx.context)
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return ctx.default_return_type
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pydantic_metadata = model_type.type.metadata.get(METADATA_KEY)
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if pydantic_metadata is None:
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return ctx.default_return_type
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orm_mode = pydantic_metadata.get('config', {}).get('orm_mode')
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if orm_mode is not True:
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error_from_orm(get_name(model_type.type), ctx.api, ctx.context)
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return ctx.default_return_type
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class PydanticModelTransformer:
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tracked_config_fields: Set[str] = {
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'extra',
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'allow_mutation',
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'frozen',
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'orm_mode',
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'allow_population_by_field_name',
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'alias_generator',
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}
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def __init__(self, ctx: ClassDefContext, plugin_config: PydanticPluginConfig) -> None:
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self._ctx = ctx
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self.plugin_config = plugin_config
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def transform(self) -> None:
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"""
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Configures the BaseModel subclass according to the plugin settings.
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In particular:
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* determines the model config and fields,
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* adds a fields-aware signature for the initializer and construct methods
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* freezes the class if allow_mutation = False or frozen = True
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* stores the fields, config, and if the class is settings in the mypy metadata for access by subclasses
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"""
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ctx = self._ctx
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info = self._ctx.cls.info
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config = self.collect_config()
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fields = self.collect_fields(config)
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for field in fields:
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if info[field.name].type is None:
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if not ctx.api.final_iteration:
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ctx.api.defer()
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is_settings = any(get_fullname(base) == BASESETTINGS_FULLNAME for base in info.mro[:-1])
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self.add_initializer(fields, config, is_settings)
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self.add_construct_method(fields)
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self.set_frozen(fields, frozen=config.allow_mutation is False or config.frozen is True)
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info.metadata[METADATA_KEY] = {
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'fields': {field.name: field.serialize() for field in fields},
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'config': config.set_values_dict(),
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}
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def collect_config(self) -> 'ModelConfigData':
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"""
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Collects the values of the config attributes that are used by the plugin, accounting for parent classes.
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"""
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ctx = self._ctx
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cls = ctx.cls
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config = ModelConfigData()
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for stmt in cls.defs.body:
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if not isinstance(stmt, ClassDef):
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continue
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if stmt.name == 'Config':
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for substmt in stmt.defs.body:
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if not isinstance(substmt, AssignmentStmt):
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continue
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config.update(self.get_config_update(substmt))
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if (
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config.has_alias_generator
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and not config.allow_population_by_field_name
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and self.plugin_config.warn_required_dynamic_aliases
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):
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error_required_dynamic_aliases(ctx.api, stmt)
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for info in cls.info.mro[1:]: # 0 is the current class
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if METADATA_KEY not in info.metadata:
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continue
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# Each class depends on the set of fields in its ancestors
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ctx.api.add_plugin_dependency(make_wildcard_trigger(get_fullname(info)))
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for name, value in info.metadata[METADATA_KEY]['config'].items():
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config.setdefault(name, value)
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return config
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def collect_fields(self, model_config: 'ModelConfigData') -> List['PydanticModelField']:
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"""
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Collects the fields for the model, accounting for parent classes
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"""
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# First, collect fields belonging to the current class.
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ctx = self._ctx
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cls = self._ctx.cls
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fields = [] # type: List[PydanticModelField]
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known_fields = set() # type: Set[str]
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for stmt in cls.defs.body:
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if not isinstance(stmt, AssignmentStmt): # `and stmt.new_syntax` to require annotation
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continue
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lhs = stmt.lvalues[0]
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if not isinstance(lhs, NameExpr):
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continue
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if not stmt.new_syntax and self.plugin_config.warn_untyped_fields:
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error_untyped_fields(ctx.api, stmt)
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# if lhs.name == '__config__': # BaseConfig not well handled; I'm not sure why yet
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# continue
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sym = cls.info.names.get(lhs.name)
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if sym is None: # pragma: no cover
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# This is likely due to a star import (see the dataclasses plugin for a more detailed explanation)
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# This is the same logic used in the dataclasses plugin
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continue
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node = sym.node
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if isinstance(node, PlaceholderNode): # pragma: no cover
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# See the PlaceholderNode docstring for more detail about how this can occur
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# Basically, it is an edge case when dealing with complex import logic
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# This is the same logic used in the dataclasses plugin
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continue
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if not isinstance(node, Var):
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continue
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# x: ClassVar[int] is ignored by dataclasses.
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if node.is_classvar:
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continue
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is_required = self.get_is_required(cls, stmt, lhs)
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alias, has_dynamic_alias = self.get_alias_info(stmt)
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if (
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has_dynamic_alias
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and not model_config.allow_population_by_field_name
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and self.plugin_config.warn_required_dynamic_aliases
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):
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error_required_dynamic_aliases(ctx.api, stmt)
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fields.append(
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PydanticModelField(
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name=lhs.name,
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is_required=is_required,
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alias=alias,
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has_dynamic_alias=has_dynamic_alias,
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line=stmt.line,
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column=stmt.column,
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)
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)
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known_fields.add(lhs.name)
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all_fields = fields.copy()
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for info in cls.info.mro[1:]: # 0 is the current class, -2 is BaseModel, -1 is object
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if METADATA_KEY not in info.metadata:
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continue
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superclass_fields = []
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# Each class depends on the set of fields in its ancestors
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ctx.api.add_plugin_dependency(make_wildcard_trigger(get_fullname(info)))
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for name, data in info.metadata[METADATA_KEY]['fields'].items():
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if name not in known_fields:
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field = PydanticModelField.deserialize(info, data)
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known_fields.add(name)
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superclass_fields.append(field)
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else:
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(field,) = [a for a in all_fields if a.name == name]
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all_fields.remove(field)
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superclass_fields.append(field)
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all_fields = superclass_fields + all_fields
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return all_fields
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def add_initializer(self, fields: List['PydanticModelField'], config: 'ModelConfigData', is_settings: bool) -> None:
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"""
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Adds a fields-aware `__init__` method to the class.
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The added `__init__` will be annotated with types vs. all `Any` depending on the plugin settings.
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"""
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ctx = self._ctx
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typed = self.plugin_config.init_typed
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use_alias = config.allow_population_by_field_name is not True
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force_all_optional = is_settings or bool(
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config.has_alias_generator and not config.allow_population_by_field_name
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)
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init_arguments = self.get_field_arguments(
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fields, typed=typed, force_all_optional=force_all_optional, use_alias=use_alias
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)
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if not self.should_init_forbid_extra(fields, config):
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var = Var('kwargs')
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init_arguments.append(Argument(var, AnyType(TypeOfAny.explicit), None, ARG_STAR2))
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add_method(ctx, '__init__', init_arguments, NoneType())
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def add_construct_method(self, fields: List['PydanticModelField']) -> None:
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"""
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Adds a fully typed `construct` classmethod to the class.
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Similar to the fields-aware __init__ method, but always uses the field names (not aliases),
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and does not treat settings fields as optional.
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"""
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ctx = self._ctx
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set_str = ctx.api.named_type('__builtins__.set', [ctx.api.named_type('__builtins__.str')])
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optional_set_str = UnionType([set_str, NoneType()])
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fields_set_argument = Argument(Var('_fields_set', optional_set_str), optional_set_str, None, ARG_OPT)
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construct_arguments = self.get_field_arguments(fields, typed=True, force_all_optional=False, use_alias=False)
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construct_arguments = [fields_set_argument] + construct_arguments
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obj_type = ctx.api.named_type('__builtins__.object')
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self_tvar_name = '_PydanticBaseModel' # Make sure it does not conflict with other names in the class
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tvar_fullname = ctx.cls.fullname + '.' + self_tvar_name
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tvd = TypeVarDef(self_tvar_name, tvar_fullname, -1, [], obj_type)
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self_tvar_expr = TypeVarExpr(self_tvar_name, tvar_fullname, [], obj_type)
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ctx.cls.info.names[self_tvar_name] = SymbolTableNode(MDEF, self_tvar_expr)
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self_type = TypeVarType(tvd)
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add_method(
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ctx,
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'construct',
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construct_arguments,
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return_type=self_type,
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self_type=self_type,
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tvar_def=tvd,
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is_classmethod=True,
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)
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def set_frozen(self, fields: List['PydanticModelField'], frozen: bool) -> None:
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"""
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Marks all fields as properties so that attempts to set them trigger mypy errors.
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This is the same approach used by the attrs and dataclasses plugins.
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"""
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info = self._ctx.cls.info
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for field in fields:
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sym_node = info.names.get(field.name)
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if sym_node is not None:
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var = sym_node.node
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assert isinstance(var, Var)
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var.is_property = frozen
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else:
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var = field.to_var(info, use_alias=False)
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var.info = info
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var.is_property = frozen
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var._fullname = get_fullname(info) + '.' + get_name(var)
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info.names[get_name(var)] = SymbolTableNode(MDEF, var)
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def get_config_update(self, substmt: AssignmentStmt) -> Optional['ModelConfigData']:
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"""
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Determines the config update due to a single statement in the Config class definition.
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Warns if a tracked config attribute is set to a value the plugin doesn't know how to interpret (e.g., an int)
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"""
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lhs = substmt.lvalues[0]
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if not (isinstance(lhs, NameExpr) and lhs.name in self.tracked_config_fields):
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return None
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if lhs.name == 'extra':
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if isinstance(substmt.rvalue, StrExpr):
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forbid_extra = substmt.rvalue.value == 'forbid'
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elif isinstance(substmt.rvalue, MemberExpr):
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forbid_extra = substmt.rvalue.name == 'forbid'
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else:
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error_invalid_config_value(lhs.name, self._ctx.api, substmt)
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return None
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return ModelConfigData(forbid_extra=forbid_extra)
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if lhs.name == 'alias_generator':
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has_alias_generator = True
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if isinstance(substmt.rvalue, NameExpr) and substmt.rvalue.fullname == 'builtins.None':
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has_alias_generator = False
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return ModelConfigData(has_alias_generator=has_alias_generator)
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if isinstance(substmt.rvalue, NameExpr) and substmt.rvalue.fullname in ('builtins.True', 'builtins.False'):
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return ModelConfigData(**{lhs.name: substmt.rvalue.fullname == 'builtins.True'})
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error_invalid_config_value(lhs.name, self._ctx.api, substmt)
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return None
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@staticmethod
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def get_is_required(cls: ClassDef, stmt: AssignmentStmt, lhs: NameExpr) -> bool:
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"""
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Returns a boolean indicating whether the field defined in `stmt` is a required field.
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"""
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expr = stmt.rvalue
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if isinstance(expr, TempNode):
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# TempNode means annotation-only, so only non-required if Optional
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value_type = get_proper_type(cls.info[lhs.name].type)
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if isinstance(value_type, UnionType) and any(isinstance(item, NoneType) for item in value_type.items):
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# Annotated as Optional, or otherwise having NoneType in the union
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return False
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return True
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if isinstance(expr, CallExpr) and isinstance(expr.callee, RefExpr) and expr.callee.fullname == FIELD_FULLNAME:
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# The "default value" is a call to `Field`; at this point, the field is
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# only required if default is Ellipsis (i.e., `field_name: Annotation = Field(...)`)
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return len(expr.args) > 0 and expr.args[0].__class__ is EllipsisExpr
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# Only required if the "default value" is Ellipsis (i.e., `field_name: Annotation = ...`)
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return isinstance(expr, EllipsisExpr)
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@staticmethod
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def get_alias_info(stmt: AssignmentStmt) -> Tuple[Optional[str], bool]:
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"""
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Returns a pair (alias, has_dynamic_alias), extracted from the declaration of the field defined in `stmt`.
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`has_dynamic_alias` is True if and only if an alias is provided, but not as a string literal.
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If `has_dynamic_alias` is True, `alias` will be None.
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"""
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expr = stmt.rvalue
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if isinstance(expr, TempNode):
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# TempNode means annotation-only
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return None, False
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if not (
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isinstance(expr, CallExpr) and isinstance(expr.callee, RefExpr) and expr.callee.fullname == FIELD_FULLNAME
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):
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# Assigned value is not a call to pydantic.fields.Field
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return None, False
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for i, arg_name in enumerate(expr.arg_names):
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if arg_name != 'alias':
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continue
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arg = expr.args[i]
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if isinstance(arg, StrExpr):
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return arg.value, False
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else:
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return None, True
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return None, False
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def get_field_arguments(
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self, fields: List['PydanticModelField'], typed: bool, force_all_optional: bool, use_alias: bool
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) -> List[Argument]:
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"""
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Helper function used during the construction of the `__init__` and `construct` method signatures.
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Returns a list of mypy Argument instances for use in the generated signatures.
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"""
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info = self._ctx.cls.info
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arguments = [
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field.to_argument(info, typed=typed, force_optional=force_all_optional, use_alias=use_alias)
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for field in fields
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if not (use_alias and field.has_dynamic_alias)
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]
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return arguments
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def should_init_forbid_extra(self, fields: List['PydanticModelField'], config: 'ModelConfigData') -> bool:
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"""
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Indicates whether the generated `__init__` should get a `**kwargs` at the end of its signature
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|
|
We disallow arbitrary kwargs if the extra config setting is "forbid", or if the plugin config says to,
|
|
*unless* a required dynamic alias is present (since then we can't determine a valid signature).
|
|
"""
|
|
if not config.allow_population_by_field_name:
|
|
if self.is_dynamic_alias_present(fields, bool(config.has_alias_generator)):
|
|
return False
|
|
if config.forbid_extra:
|
|
return True
|
|
return self.plugin_config.init_forbid_extra
|
|
|
|
@staticmethod
|
|
def is_dynamic_alias_present(fields: List['PydanticModelField'], has_alias_generator: bool) -> bool:
|
|
"""
|
|
Returns whether any fields on the model have a "dynamic alias", i.e., an alias that cannot be
|
|
determined during static analysis.
|
|
"""
|
|
for field in fields:
|
|
if field.has_dynamic_alias:
|
|
return True
|
|
if has_alias_generator:
|
|
for field in fields:
|
|
if field.alias is None:
|
|
return True
|
|
return False
|
|
|
|
|
|
class PydanticModelField:
|
|
def __init__(
|
|
self, name: str, is_required: bool, alias: Optional[str], has_dynamic_alias: bool, line: int, column: int
|
|
):
|
|
self.name = name
|
|
self.is_required = is_required
|
|
self.alias = alias
|
|
self.has_dynamic_alias = has_dynamic_alias
|
|
self.line = line
|
|
self.column = column
|
|
|
|
def to_var(self, info: TypeInfo, use_alias: bool) -> Var:
|
|
name = self.name
|
|
if use_alias and self.alias is not None:
|
|
name = self.alias
|
|
return Var(name, info[self.name].type)
|
|
|
|
def to_argument(self, info: TypeInfo, typed: bool, force_optional: bool, use_alias: bool) -> Argument:
|
|
if typed and info[self.name].type is not None:
|
|
type_annotation = info[self.name].type
|
|
else:
|
|
type_annotation = AnyType(TypeOfAny.explicit)
|
|
return Argument(
|
|
variable=self.to_var(info, use_alias),
|
|
type_annotation=type_annotation,
|
|
initializer=None,
|
|
kind=ARG_NAMED_OPT if force_optional or not self.is_required else ARG_NAMED,
|
|
)
|
|
|
|
def serialize(self) -> JsonDict:
|
|
return self.__dict__
|
|
|
|
@classmethod
|
|
def deserialize(cls, info: TypeInfo, data: JsonDict) -> 'PydanticModelField':
|
|
return cls(**data)
|
|
|
|
|
|
class ModelConfigData:
|
|
def __init__(
|
|
self,
|
|
forbid_extra: Optional[bool] = None,
|
|
allow_mutation: Optional[bool] = None,
|
|
frozen: Optional[bool] = None,
|
|
orm_mode: Optional[bool] = None,
|
|
allow_population_by_field_name: Optional[bool] = None,
|
|
has_alias_generator: Optional[bool] = None,
|
|
):
|
|
self.forbid_extra = forbid_extra
|
|
self.allow_mutation = allow_mutation
|
|
self.frozen = frozen
|
|
self.orm_mode = orm_mode
|
|
self.allow_population_by_field_name = allow_population_by_field_name
|
|
self.has_alias_generator = has_alias_generator
|
|
|
|
def set_values_dict(self) -> Dict[str, Any]:
|
|
return {k: v for k, v in self.__dict__.items() if v is not None}
|
|
|
|
def update(self, config: Optional['ModelConfigData']) -> None:
|
|
if config is None:
|
|
return
|
|
for k, v in config.set_values_dict().items():
|
|
setattr(self, k, v)
|
|
|
|
def setdefault(self, key: str, value: Any) -> None:
|
|
if getattr(self, key) is None:
|
|
setattr(self, key, value)
|
|
|
|
|
|
ERROR_ORM = ErrorCode('pydantic-orm', 'Invalid from_orm call', 'Pydantic')
|
|
ERROR_CONFIG = ErrorCode('pydantic-config', 'Invalid config value', 'Pydantic')
|
|
ERROR_ALIAS = ErrorCode('pydantic-alias', 'Dynamic alias disallowed', 'Pydantic')
|
|
ERROR_UNEXPECTED = ErrorCode('pydantic-unexpected', 'Unexpected behavior', 'Pydantic')
|
|
ERROR_UNTYPED = ErrorCode('pydantic-field', 'Untyped field disallowed', 'Pydantic')
|
|
|
|
|
|
def error_from_orm(model_name: str, api: CheckerPluginInterface, context: Context) -> None:
|
|
api.fail(f'"{model_name}" does not have orm_mode=True', context, code=ERROR_ORM)
|
|
|
|
|
|
def error_invalid_config_value(name: str, api: SemanticAnalyzerPluginInterface, context: Context) -> None:
|
|
api.fail(f'Invalid value for "Config.{name}"', context, code=ERROR_CONFIG)
|
|
|
|
|
|
def error_required_dynamic_aliases(api: SemanticAnalyzerPluginInterface, context: Context) -> None:
|
|
api.fail('Required dynamic aliases disallowed', context, code=ERROR_ALIAS)
|
|
|
|
|
|
def error_unexpected_behavior(detail: str, api: CheckerPluginInterface, context: Context) -> None: # pragma: no cover
|
|
# Can't think of a good way to test this, but I confirmed it renders as desired by adding to a non-error path
|
|
link = 'https://github.com/samuelcolvin/pydantic/issues/new/choose'
|
|
full_message = f'The pydantic mypy plugin ran into unexpected behavior: {detail}\n'
|
|
full_message += f'Please consider reporting this bug at {link} so we can try to fix it!'
|
|
api.fail(full_message, context, code=ERROR_UNEXPECTED)
|
|
|
|
|
|
def error_untyped_fields(api: SemanticAnalyzerPluginInterface, context: Context) -> None:
|
|
api.fail('Untyped fields disallowed', context, code=ERROR_UNTYPED)
|
|
|
|
|
|
def add_method(
|
|
ctx: ClassDefContext,
|
|
name: str,
|
|
args: List[Argument],
|
|
return_type: Type,
|
|
self_type: Optional[Type] = None,
|
|
tvar_def: Optional[TypeVarDef] = None,
|
|
is_classmethod: bool = False,
|
|
is_new: bool = False,
|
|
# is_staticmethod: bool = False,
|
|
) -> None:
|
|
"""
|
|
Adds a new method to a class.
|
|
|
|
This can be dropped if/when https://github.com/python/mypy/issues/7301 is merged
|
|
"""
|
|
info = ctx.cls.info
|
|
|
|
# First remove any previously generated methods with the same name
|
|
# to avoid clashes and problems in the semantic analyzer.
|
|
if name in info.names:
|
|
sym = info.names[name]
|
|
if sym.plugin_generated and isinstance(sym.node, FuncDef):
|
|
ctx.cls.defs.body.remove(sym.node)
|
|
|
|
self_type = self_type or fill_typevars(info)
|
|
if is_classmethod or is_new:
|
|
first = [Argument(Var('_cls'), TypeType.make_normalized(self_type), None, ARG_POS)]
|
|
# elif is_staticmethod:
|
|
# first = []
|
|
else:
|
|
self_type = self_type or fill_typevars(info)
|
|
first = [Argument(Var('self'), self_type, None, ARG_POS)]
|
|
args = first + args
|
|
arg_types, arg_names, arg_kinds = [], [], []
|
|
for arg in args:
|
|
assert arg.type_annotation, 'All arguments must be fully typed.'
|
|
arg_types.append(arg.type_annotation)
|
|
arg_names.append(get_name(arg.variable))
|
|
arg_kinds.append(arg.kind)
|
|
|
|
function_type = ctx.api.named_type('__builtins__.function')
|
|
signature = CallableType(arg_types, arg_kinds, arg_names, return_type, function_type)
|
|
if tvar_def:
|
|
signature.variables = [tvar_def]
|
|
|
|
func = FuncDef(name, args, Block([PassStmt()]))
|
|
func.info = info
|
|
func.type = set_callable_name(signature, func)
|
|
func.is_class = is_classmethod
|
|
# func.is_static = is_staticmethod
|
|
func._fullname = get_fullname(info) + '.' + name
|
|
func.line = info.line
|
|
|
|
# NOTE: we would like the plugin generated node to dominate, but we still
|
|
# need to keep any existing definitions so they get semantically analyzed.
|
|
if name in info.names:
|
|
# Get a nice unique name instead.
|
|
r_name = get_unique_redefinition_name(name, info.names)
|
|
info.names[r_name] = info.names[name]
|
|
|
|
if is_classmethod: # or is_staticmethod:
|
|
func.is_decorated = True
|
|
v = Var(name, func.type)
|
|
v.info = info
|
|
v._fullname = func._fullname
|
|
# if is_classmethod:
|
|
v.is_classmethod = True
|
|
dec = Decorator(func, [NameExpr('classmethod')], v)
|
|
# else:
|
|
# v.is_staticmethod = True
|
|
# dec = Decorator(func, [NameExpr('staticmethod')], v)
|
|
|
|
dec.line = info.line
|
|
sym = SymbolTableNode(MDEF, dec)
|
|
else:
|
|
sym = SymbolTableNode(MDEF, func)
|
|
sym.plugin_generated = True
|
|
|
|
info.names[name] = sym
|
|
info.defn.defs.body.append(func)
|
|
|
|
|
|
def get_fullname(x: Union[FuncBase, SymbolNode]) -> str:
|
|
"""
|
|
Used for compatibility with mypy 0.740; can be dropped once support for 0.740 is dropped.
|
|
"""
|
|
fn = x.fullname
|
|
if callable(fn): # pragma: no cover
|
|
return fn()
|
|
return fn
|
|
|
|
|
|
def get_name(x: Union[FuncBase, SymbolNode]) -> str:
|
|
"""
|
|
Used for compatibility with mypy 0.740; can be dropped once support for 0.740 is dropped.
|
|
"""
|
|
fn = x.name
|
|
if callable(fn): # pragma: no cover
|
|
return fn()
|
|
return fn
|