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DougForrest avatar DougForrest commented on June 12, 2024 1

Thanks for the python interface, I've just started using it and encountered the same issue using alpaca-py==0.14.0, where Pydantic validation fails due to missing fields in the API response. I believe this problem results from Pydantic's handling of optional fields, see Pydantic v2 migration guide.

In the guide, it's mentioned that class attributes defined as Optional[date] without a default value are considered "Required, can be None," meaning they are expected to be present in the data, albeit they can be None. However, for fields to truly be optional—where they can be omitted from the data entirely without triggering validation errors—they should be defined with a default value, e.g., ex_date: Optional[date] = None. This change marks the fields as "Not required, can be None, and is None by default," allowing them to accommodate missing fields in the API response.

It appears that the CorporateActionAnnouncement class definition needs updating to reflect this understanding, specifically by assigning default values to optional fields. The test case appears to include all of the fields so wouldn't catch this scenario.

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hiohiohio avatar hiohiohio commented on June 12, 2024

@DougForrest thank you for heads-up. I will handle this issue.

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