Comments (5)
Hmm. Fair point. PR is welcome
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I am happy to do it, but not yet know why the seed is not working as exrex is using the same random module internally. But I'll figure out and do the PR! :)
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Ok, I got it, this package is actually using a separate random instance. In pydantic.utils
, ther is random = Random()
. I need to figure out what is the rationale behind that.
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I did the PR: #40. I haven't find any rationale for the separate Random
instance, so I reverted back to the default one. Hope I did not miss something. Also added a test for the pydantic.Field
with regex
.
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v1.2.8 was released, thanks for your contribution @blagasz
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Related Issues (20)
- Bug: Cannot generate pydantic 1.9.0 model HOT 3
- Bug: Attribute with `_` prefixed alias cannot be set on a factory class HOT 4
- Bug: Annotations for nested types are ignored HOT 1
- Refactor: get pydantic v1 model fields using `FieldMeta.from_type` HOT 1
- Bug: polyfactoryutils.helpers.flatten_annotation does not handle Optional properly HOT 1
- Enhancement: provide a mechanism to use the `faker` pytest fixture Faker instance HOT 7
- Bug: Pydantic Config field `min_anystr_length` not taken into account HOT 3
- Bug: Typo in `field_meta.py` ? HOT 3
- Bug: Pydantic ModelFactory coverage() function does not work with types including None HOT 2
- Enhancement: Optional `__model__` class field HOT 5
- Enhancement: support Pydantic v1 and v2 at the same time HOT 4
- incorrect exception raised when nested model validation fails HOT 3
- Bug: Support for Python 3.12 type keyword HOT 1
- Bug: Bug when generating Json fields in Pydantic model HOT 3
- Enhancement: Expose the faker instance HOT 3
- Enhancement: add support for Odmantic 1.0
- Use defaults values from BaseModel in ModelFactory HOT 4
- Support for relationship building models in `SQLAlchemyFactory` HOT 10
- Bug: Incomplete Dependency Specification HOT 1
- Bug: settings `__set_as_default_factory_for_type__ ` to `True` on base factory fails
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