Pydantic Models

Create Pydantic models following the multi-model pattern for clean API contracts.

Quick Start

Copy the template from assets/template.py and replace placeholders:

• {{ResourceName}} → PascalCase name (e.g., Project)
• {{resource_name}} → snake_case name (e.g., project)

Multi-Model Pattern

| Model | Purpose | |-------|---------| | Base | Common fields shared across models | | Create | Request body for creation (required fields) | | Update | Request body for updates (all optional) | | Response | API response with all fields | | InDB | Database document with doc_type |

camelCase Aliases

python
class MyModel(BaseModel):
    workspace_id: str = Field(..., alias="workspaceId")
    created_at: datetime = Field(..., alias="createdAt")
    
    class Config:
        populate_by_name = True  # Accept both snake_case and camelCase

Optional Update Fields

python
class MyUpdate(BaseModel):
    """All fields optional for PATCH requests."""
    name: Optional[str] = Field(None, min_length=1)
    description: Optional[str] = None

Database Document

python
class MyInDB(MyResponse):
    """Adds doc_type for Cosmos DB queries."""
    doc_type: str = "my_resource"

Integration Steps

1. Create models in src/backend/app/models/
2. Export from src/backend/app/models/__init__.py
3. Add corresponding TypeScript types

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.