Defining a model with Optional nested recursive submodels is throwing a required value error when validating the model. The nested models also contain nested submodels that container other recursive models potentially. This works on 1.6.0 and all versions prior that we have been using the last year. It only breaks when we move to version 1.6.1
Here is a sample of the model that we are using with basic one letter named attributes.
class Spec(BaseModel):
spec_fields: List[str] = Field(..., alias="fields")
filter: Optional[str]
sort: Optional[str]
class PSpec(Spec):
g: Optional[GSpec]
class GSpec(Spec):
p: Optional[PSpec]
class Filter(BaseModel):
g: Optional[GSpec]
p: Optional[PSpec]
Trying with the following values will generate an error
data = {"p": {"sort": "some_field:asc", "fields": []}}
result = Filter(**data)
The error generated is:
E pydantic.error_wrappers.ValidationError: 1 validation error for Filter
E p -> g
E field required (type=value_error.missing)
It seems to be disregarding the Optional attribute for GSpec field in the nested PSpec model.
Same code on 1.6.0 works as expected.
Thanks!
Output of python -c "import pydantic.utils; print(pydantic.utils.version_info())":
pydantic version: 1.6.1
pydantic compiled: True
install path: /Users/..../.local/share/virtualenvs/..../lib/python3.7/site-packages/pydantic
python version: 3.7.3 (default, Mar 27 2019, 09:23:15) [Clang 10.0.1 (clang-1001.0.46.3)]
platform: Darwin-19.5.0-x86_64-i386-64bit
optional deps. installed: ['typing-extensions', 'email-validator']
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