python validation_error ai_generated true

pydantic.error_wrappers.ValidationError: N validation errors for Model

ID: python/pydantic-validation-error

Also available as: JSON · Markdown
92%Fix Rate
92%Confidence
50Evidence
2023-01-01First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
311 active — — —

Root Cause

Pydantic model received data that doesn't match the schema. Type or required field error.

generic

Workarounds

  1. 95% success Read the error details — Pydantic tells you exactly which field and what's wrong 
    try:
    Model(**data)
except ValidationError as e:
    print(e.errors())  # detailed field-by-field errors

    Sources: https://docs.pydantic.dev/latest/concepts/models/

  2. 85% success Use model_validate with strict=False for coercion if types are close 
    Use model_validate with strict=False for coercion if types are close

    Sources: https://docs.pydantic.dev/latest/concepts/models/#model-methods-and-properties

Dead Ends

Common approaches that don't work:

  1. Use model_construct() to skip validation 75% fail

    Creates invalid model instances — bugs will surface later

  2. Make all fields Optional 70% fail

    Defeats the purpose of validation — model can hold invalid state

Error Chain

Frequently confused with: