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pickle, pydantic, builtin, class, issue, support, dataclass, bug, import, dataclasses, sign, added, picklingerror, maina, mentioned, breaks, aimestereo, github, output, builtindataclass, fix, samuelcolvin, navigation, issues, pull, requests, actions, security, closed, docs, python, version, clang, prettywood, printpickledumps, pydanticmodelbuiltindataclassbuiltindataclassvalue, traceback, recent, call, module, mainbuiltindataclass, object, classes, related, verified, type, projects, milestone, footer, skip,

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6/envs/feed/lib/python3 b1bb6e0 samuelcolvin added personal information support import pydantic comment metadata assignees aimestereo mentioned similar issues dataclass class builtindataclass pydantic convert built pydantic version support pickle /users/aimestereo/ pydantic v1 python docs pydantic context pickle problem class serializeddataclass added descriptive title pyenv/versions/3 ['typing-extensions'] recent call converts buit dataclasses projects milestone milestone relationships sign built_in_dataclass=builtindataclass intermediate classes issue type projects pydantic dataclass v1 pickle ' pickle github output picklingerror __main__ builtindataclass built_in_dataclass pydanticmodel print classes = type type built skip

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      context:https://schema.org
      headline:support for built-in `dataclass` breaks pickle
      articleBody:### Checks * [x] I added a descriptive title to this issue * [x] I have searched (google, github) for similar issues and couldn't find anything * [x] I have read and followed [the docs](https://pydantic-docs.helpmanual.io/) and still think this is a bug <!-- Sorry to sound so draconian, but every second saved replying to issues is time spend improving pydantic :-) --> # Bug Output of `python -c "import pydantic.utils; print(pydantic.utils.version_info())"`: ``` pydantic version: 1.7.2 pydantic compiled: True install path: /Users/aimestereo/.pyenv/versions/3.7.6/envs/feed/lib/python3.7/site-packages/pydantic python version: 3.7.6 (default, Jan 30 2020, 16:07:03) [Clang 11.0.0 (clang-1100.0.33.17)] platform: Darwin-19.6.0-x86_64-i386-64bit optional deps. installed: ['typing-extensions'] ``` <!-- or if you're using pydantic prior to v1.3, manually include: OS, python version and pydantic version --> <!-- Please read the [docs](https://pydantic-docs.helpmanual.io/) and search through issues to confirm your bug hasn't already been reported. --> <!-- Where possible please include a self-contained code snippet describing your bug: --> thanks to @PrettyWood 1.7 Introduced cool [support of built-in dataclass](https://github.com/samuelcolvin/pydantic/pull/1817). But in our project this broke pickle ```py import pickle import dataclasses import pydantic @dataclasses.dataclass class BuiltInDataclass: value: int class PydanticModel(pydantic.BaseModel): built_in_dataclass: BuiltInDataclass print(pickle.dumps( PydanticModel(built_in_dataclass=BuiltInDataclass(value=0)) )) ``` output: ``` --------------------------------------------------------------------------- PicklingError Traceback (most recent call last) <ipython-input-14-7d67a44cf353> in <module> 15 16 print(pickle.dumps( ---> 17 PydanticModel(built_in_dataclass=BuiltInDataclass(value=0)) 18 )) PicklingError: Can't pickle <class '__main__.BuiltInDataclass'>: it's not the same object as __main__.BuiltInDataclass ``` --- For better understanding here's an issue of pickle outside of pydantic context. This is an old pickle problem, when different classes have the same name, simple way to reproduce: ``` import pickle class A: pass # this is an analogy of how pydantic convert built-in dataclass B = type(A.__name__, (A,), {}) print(A) # <class '__main__.A'> print(B) # <class '__main__.A'> pickle.dumps(A) # b'\x80\x03c__main__\nA\nq\x00.' pickle.dumps(B) # error ``` output ``` --------------------------------------------------------------------------- PicklingError Traceback (most recent call last) <ipython-input-2-b97d2c67736c> in <module> 10 11 print(pickle.dumps(A)) ---> 12 print(pickle.dumps(B)) PicklingError: Can't pickle <class '__main__.A'>: it's not the same object as __main__.A ``` --- As a result we can't use this feature, we're stick to intermediate classes that converts buit-in dataclasses to pydantic: ``` class SerializedDataclass(pydantic.BaseModel): # copy/paste of all fields from built-in dataclass value: float ```
      author:
         url:https://github.com/aimestereo
         type:Person
         name:aimestereo
      datePublished:2020-11-10T13:04:03.000Z
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      url:https://github.com/2111/pydantic/issues/2111
      context:https://schema.org
      headline:support for built-in `dataclass` breaks pickle
      articleBody:### Checks * [x] I added a descriptive title to this issue * [x] I have searched (google, github) for similar issues and couldn't find anything * [x] I have read and followed [the docs](https://pydantic-docs.helpmanual.io/) and still think this is a bug <!-- Sorry to sound so draconian, but every second saved replying to issues is time spend improving pydantic :-) --> # Bug Output of `python -c "import pydantic.utils; print(pydantic.utils.version_info())"`: ``` pydantic version: 1.7.2 pydantic compiled: True install path: /Users/aimestereo/.pyenv/versions/3.7.6/envs/feed/lib/python3.7/site-packages/pydantic python version: 3.7.6 (default, Jan 30 2020, 16:07:03) [Clang 11.0.0 (clang-1100.0.33.17)] platform: Darwin-19.6.0-x86_64-i386-64bit optional deps. installed: ['typing-extensions'] ``` <!-- or if you're using pydantic prior to v1.3, manually include: OS, python version and pydantic version --> <!-- Please read the [docs](https://pydantic-docs.helpmanual.io/) and search through issues to confirm your bug hasn't already been reported. --> <!-- Where possible please include a self-contained code snippet describing your bug: --> thanks to @PrettyWood 1.7 Introduced cool [support of built-in dataclass](https://github.com/samuelcolvin/pydantic/pull/1817). But in our project this broke pickle ```py import pickle import dataclasses import pydantic @dataclasses.dataclass class BuiltInDataclass: value: int class PydanticModel(pydantic.BaseModel): built_in_dataclass: BuiltInDataclass print(pickle.dumps( PydanticModel(built_in_dataclass=BuiltInDataclass(value=0)) )) ``` output: ``` --------------------------------------------------------------------------- PicklingError Traceback (most recent call last) <ipython-input-14-7d67a44cf353> in <module> 15 16 print(pickle.dumps( ---> 17 PydanticModel(built_in_dataclass=BuiltInDataclass(value=0)) 18 )) PicklingError: Can't pickle <class '__main__.BuiltInDataclass'>: it's not the same object as __main__.BuiltInDataclass ``` --- For better understanding here's an issue of pickle outside of pydantic context. This is an old pickle problem, when different classes have the same name, simple way to reproduce: ``` import pickle class A: pass # this is an analogy of how pydantic convert built-in dataclass B = type(A.__name__, (A,), {}) print(A) # <class '__main__.A'> print(B) # <class '__main__.A'> pickle.dumps(A) # b'\x80\x03c__main__\nA\nq\x00.' pickle.dumps(B) # error ``` output ``` --------------------------------------------------------------------------- PicklingError Traceback (most recent call last) <ipython-input-2-b97d2c67736c> in <module> 10 11 print(pickle.dumps(A)) ---> 12 print(pickle.dumps(B)) PicklingError: Can't pickle <class '__main__.A'>: it's not the same object as __main__.A ``` --- As a result we can't use this feature, we're stick to intermediate classes that converts buit-in dataclasses to pydantic: ``` class SerializedDataclass(pydantic.BaseModel): # copy/paste of all fields from built-in dataclass value: float ```
      author:
         url:https://github.com/aimestereo
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         name:aimestereo
      datePublished:2020-11-10T13:04:03.000Z
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      url:https://github.com/2111/pydantic/issues/2111
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