pydantic-models-py
Documentation & ProductivitéCreate Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2.
Documentation
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
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 camelCaseOptional Update Fields
class MyUpdate(BaseModel):
"""All fields optional for PATCH requests."""
name: Optional[str] = Field(None, min_length=1)
description: Optional[str] = NoneDatabase Document
class MyInDB(MyResponse):
"""Adds doc_type for Cosmos DB queries."""
doc_type: str = "my_resource"Integration Steps
src/backend/app/models/src/backend/app/models/__init__.pyCompétences similaires
Explorez d'autres agents de la catégorie Documentation & Productivité
javascript-pro
Master modern JavaScript with ES6+, async patterns, and Node.js
turborepo-caching
Configure Turborepo for efficient monorepo builds with local and remote caching. Use when setting up Turborepo, optimizing build pipelines, or implementing distributed caching.
julia-pro
Master Julia 1.10+ with modern features, performance optimization,