Pydantic Models Py

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

Published by @sickn33 and contributors·0 agent reads / 30d·0 saves·

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

ModelPurpose
BaseCommon fields shared across models
CreateRequest body for creation (required fields)
UpdateRequest body for updates (all optional)
ResponseAPI response with all fields
InDBDatabase document with doc_type

camelCase Aliases

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

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

Database Document

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.

Bundled with this artifact

2 files

Reference files that ship alongside this artifact. Agents pull these in only when the task needs them.

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