Comments (2)
I have this same exact error. Pydantic version is incompatible with the minimum required pydantic version with prefect.
Same exact error please specify minimum requirements or version ranges so we can use this sdk with our projects.
We're an enterprise peopledatalabs customer as well.
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@ngould @ded-ditat Just opened a PR which hopefully addresses the issue. One note is that the constraints shouldn't be getting set by requirements.txt
but rather by pyproject.toml
. If you pip install
this package, you should see pydantic<1.10,>=1.8
:
$ pip install peopledatalabs
Collecting peopledatalabs
Downloading peopledatalabs-1.1.6-py3-none-any.whl (17 kB)
Requirement already satisfied: requests<3,>=2 in ... (from peopledatalabs) (2.28.2)
Collecting python-dotenv<1,>=0
Downloading python_dotenv-0.21.1-py3-none-any.whl (19 kB)
Requirement already satisfied: pydantic<1.10,>=1.8 in ... (from peopledatalabs) (1.9.2)
...
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Related Issues (7)
- Support for sandbox API endpoints HOT 4
- `InvalidEndpontError`: Invalid method __post_init_post_parse (Pydantic validation error) when calling multiple endpoints with SDK HOT 3
- Don't use Env var VERSION as default value for PDLPY version property
- mutable default <class 'pydantic.types.SecretStr'> for field api_key is not allowed: use default_factory HOT 1
- 'required' parameter ignored in bulk person enrichment HOT 2
- Trying to upgrade to pydantic > 2.0 is blocked by peopledatalabs HOT 1
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