pydantic-models-py

# Pydantic Models Create Pydantic models following the multi-model pattern for clean API contracts. ## Quick Start Copy the template from [assets/template.py](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 ## Diff History - **v00.33.0**: Ingested from skills-main --- ## Why This Skill Exists 'Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. <!-- SR_40: auto-generated from frontmatter `purpose`/`description` (OPP-Phase3). Expand with domain-specific rationale. --> ## When to Use Use this skill when the task requires pydantic models py capabilities. <!-- SR_40: auto-generated from frontmatter `when`/`description` (OPP-Phase3). --> ## What If Fails - condition: Código não disponível para análise <!-- SR_40: auto-generated from frontmatter `what_if_fails` (OPP-Phase3). -->