Check Schema

Validate that a Pydantic schema file follows the CamelModel pattern.

Instructions

When the user wants to check a schema file, read the file and verify:

1. CamelModel Inheritance: All schema classes inherit from CamelModel, not BaseModel
2. No Manual Aliases: No alias_generator or Field(alias=...) for camelCase
3. Proper Config: Has model_config = ConfigDict(from_attributes=True)
4. Field Naming: Uses snake_case for field names

Validation Steps

1. Read the specified schema file
2. Find all class definitions
3. For each class that looks like a schema (ends with Create, Update, Response, etc.):
   • Check if it inherits from CamelModel or another schema that does
   • Report any classes inheriting from BaseModel directly
4. Check for anti-patterns:
   • alias_generator = to_camel (should be inherited from CamelModel)
   • Field(alias="camelCase") (not needed with CamelModel)

Example Check

For file src/backend/api/schemas/users.py:

Checking: src/backend/api/schemas/users.py

Classes Found:
  - UserBase(CamelModel) ..................... OK
  - UserCreate(UserBase) ..................... OK (inherits via UserBase)
  - UserResponse(UserBase) ................... OK
  - LoginRequest(BaseModel) .................. ERROR: Should use CamelModel

Anti-patterns Found:
  - Line 45: alias_generator = to_camel (remove - CamelModel handles this)

Summary: 1 error, 1 warning

Quick Fix

If issues are found, suggest the fix:

# Before (WRONG)
from pydantic import BaseModel

class UserCreate(BaseModel):
    user_name: str = Field(alias="userName")

# After (CORRECT)
from api.schemas._base import CamelModel

class UserCreate(CamelModel):
    user_name: str  # Auto-aliased to "userName" in JSON

Report all findings clearly with file locations and line numbers.