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Keywords {🔍}

pydantic, fix, verified, type, generic, bug, issue, concrete, vars, present, parent, sign, support, subclasses, import, parameters, added, daviskirk, gener, navigation, pull, requests, actions, security, genericmodel, drpyser, class, model, types, check, typinggeneric, version, related, dmontagu, commits, reference, github, projects, milestone, footer, skip, content, menu, product, solutions, resources, open, source, enterprise, pricing,

Topics {✒️}

support generic subclasses personal information genericmodel comment metadata assignees concrete generic models fully concrete type pydantic v1 generics import typing import pydantic concrete type parameters generic types generic usages bug concrete model parent gener… concrete instantiation concrete types type variables type vars type projects erroneously considered feature request projects milestone milestone relationships class responsemodel github genericmodel generic[ generic pydantic sys version concrete type generics responsemodel[ parameters = typing typing skip jump sign implementation typevar data list[ total_count parameterize class_getitem check __class_getitem__

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DiscussionForumPosting:
      context:https://schema.org
      headline:GenericModel does not support generic subclasses
      articleBody:# Bug It seems the implementation of pydantic.generics.GenericModel does not support generic subclasses. Example: ``` import pydantic.generics import typing T = typing.TypeVar("T") class ResponseModel(pydantic.generics.GenericModel, typing.Generic[T]): data: List[T] class PaginatedResponseModel(ResponseModel[T]): total_count: int ConcreteModel = PaginatedReponseModel[dict] # TypeError: Cannot parameterize a concrete instantiation of a generic model ``` `PaginatedReponseModel` is erroneously considered "concrete" even though type variables are used as parameters, and not concrete types. It seems GenericModel.__class_getitem__ does not check if any parameters are `TypeVar`, like `typing.Generic` does. To support generic subclasses, `__class_getitem__` should check if all of the parameters are fully concrete type(i.e. any of them are `typing.TypeVar`s, or any of them are generic types that have non-concrete type parameters). If not, a concrete model should not be created. I would consider this a bug since it does not follow the behavior of other `typing.Generic` usages, but it could also be a feature request. Please complete: * OS: Ubuntu 18.04.1 * Python version `import sys; print(sys.version)`: 3.7.1 (default, Oct 22 2018, 11:21:55) [GCC 8.2.0] * Pydantic version `import pydantic; print(pydantic.VERSION)`: `1.0`
      author:
         url:https://github.com/DrPyser
         type:Person
         name:DrPyser
      datePublished:2019-10-28T23:38:16.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
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      url:https://github.com/947/pydantic/issues/947
      context:https://schema.org
      headline:GenericModel does not support generic subclasses
      articleBody:# Bug It seems the implementation of pydantic.generics.GenericModel does not support generic subclasses. Example: ``` import pydantic.generics import typing T = typing.TypeVar("T") class ResponseModel(pydantic.generics.GenericModel, typing.Generic[T]): data: List[T] class PaginatedResponseModel(ResponseModel[T]): total_count: int ConcreteModel = PaginatedReponseModel[dict] # TypeError: Cannot parameterize a concrete instantiation of a generic model ``` `PaginatedReponseModel` is erroneously considered "concrete" even though type variables are used as parameters, and not concrete types. It seems GenericModel.__class_getitem__ does not check if any parameters are `TypeVar`, like `typing.Generic` does. To support generic subclasses, `__class_getitem__` should check if all of the parameters are fully concrete type(i.e. any of them are `typing.TypeVar`s, or any of them are generic types that have non-concrete type parameters). If not, a concrete model should not be created. I would consider this a bug since it does not follow the behavior of other `typing.Generic` usages, but it could also be a feature request. Please complete: * OS: Ubuntu 18.04.1 * Python version `import sys; print(sys.version)`: 3.7.1 (default, Oct 22 2018, 11:21:55) [GCC 8.2.0] * Pydantic version `import pydantic; print(pydantic.VERSION)`: `1.0`
      author:
         url:https://github.com/DrPyser
         type:Person
         name:DrPyser
      datePublished:2019-10-28T23:38:16.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:1
      url:https://github.com/947/pydantic/issues/947
Person:
      url:https://github.com/DrPyser
      name:DrPyser
      url:https://github.com/DrPyser
      name:DrPyser
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      interactionType:https://schema.org/CommentAction
      userInteractionCount:1
      interactionType:https://schema.org/CommentAction
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