python data_error ai_generated true

pydantic_core._pydantic_core.ValidationError: 1 validation error for UserCreate email Field required [type=missing, input_value={'name': 'a'}, input_type=dict]

ID: python/pydantic-field-required-missing

Also available as: JSON · Markdown · 中文
80%Fix Rate
87%Confidence
0Evidence
2024-05-02First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
2.x active — — —

Root Cause

The required field 'email' is absent from the input dict. In Pydantic v2 a field without a default is required; missing key triggers 'missing'.

generic

中文

输入字典中缺少必填字段 'email'。在 Pydantic v2 中，没有默认值的字段是必填的；键缺失会触发 missing 错误。

Workarounds

  1. 92% success 
    from typing import Optional
from pydantic import BaseModel
class UserCreate(BaseModel):
    email: Optional[str] = None
  2. 80% success 
    from pydantic import BaseModel, Field
class UserCreate(BaseModel):
    email: str = Field(default_factory=lambda: '[email protected]')

Dead Ends

Common approaches that don't work:

  1. 55% fail

    Type checker complains and downstream code gets None where str is expected, causing AttributeError later.

  2. 50% fail

    Empty string bypasses required validation and pollutes DB with blank emails.

  3. 40% fail

    Silently swallows real data problems; later inserts fail with NOT NULL constraint.