python type_error ai_generated true

fastapi.exceptions.RequestValidationError: [{'loc': ['body', 'age'], 'msg': 'value is not a valid integer', 'type': 'type_error.integer'}]

ID: python/fastapi-body-validation-error

Also available as: JSON · Markdown · 中文
80%Fix Rate
88%Confidence
0Evidence
2024-06-30First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
3.x active — — —

Root Cause

The request body contains a field that fails type validation, e.g., a string where an integer is expected.

generic

中文

请求体中的字段类型验证失败，例如在需要整数的地方提供了字符串。

Workarounds

  1. 95% success 
    Ensure the client sends valid data types: age: 25 instead of age: "twenty-five".
  2. 85% success 
    Add custom validation logic or use Pydantic's Field constraints to give better error messages.

Dead Ends

Common approaches that don't work:

  1. 80% fail

    It doesn't help the client correct the input; the error persists.

  2. 60% fail

    This bypasses validation and can lead to runtime errors when processing the data.