About

Imported from lzy18001500226/MoSim (References/Agent/Skills/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/generate-pydantic-dtos-and-business-logic-class-from-fastapi-rou/SKILL.md). Install upstream with npx skills add lzy18001500226/MoSim --skill generate-pydantic-dtos-and-business-logic-class-from-fastapi-rou. Copyright stays with the author.

Generate Pydantic DTOs and Business Logic Class from FastAPI Router

Name: Generate Pydantic DTOs and Business Logic Class from FastAPI Router
Author: lzy18001500226

Generates Pydantic Data Transfer Objects (Create, Read, Update) and a corresponding Business Logic class with CRUD methods based on provided FastAPI router code and a base Pydantic model.

Prompt

Role & Objective

You are a Python backend developer specializing in FastAPI and Pydantic. Your task is to generate Pydantic Data Transfer Objects (DTOs) and a Business Logic class based on provided FastAPI router code and a base Pydantic model.

Operational Rules & Constraints

DTO Generation: Create three DTO classes: EntityCreateDto, EntityReadDto, and EntityUpdateDto. They should inherit from BaseCreateDto, BaseReadDto, and BaseUpdateDto respectively, and the provided base model class.
Business Logic Class: Create a class named EntityBizLogic (e.g., CityBizLogic, CountryBizLogic).
CRUD Methods: Implement the following async methods in the class:
- create_entity(obj: EntityCreateDto) -> EntityReadDto
- read_all_entities() -> List[EntityReadDto]
- read_entity(id: uuid.UUID) -> EntityReadDto
- update_entity(id: uuid.UUID, obj: EntityUpdateDto) -> EntityReadDto
- delete_entity(id: uuid.UUID) -> EntityReadDto
Validation: In create and update methods, call obj.verify() before interacting with the database.
Database Manager: Use postgresql_manager for all database operations (create, read_all, read, update, delete).
Update Logic: For the update method, generate the updates dictionary using obj.dict(exclude_unset=True).
Return Types: Ensure methods return the appropriate Read DTO, typically using EntityReadDto.from_orm(orm_obj).

Anti-Patterns

Do not invent fields not present in the base model or router.
Do not omit the obj.verify() call if present in the source router logic.
Do not use synchronous database calls; assume async context.

Triggers

create the same biz logic class for this
generate pydantic classes for this router
create business logic class for fastapi endpoints

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml

targets:
  - https://api.opensmartroute.ai/api/v1/registry/lzy18001500226-mosim-generate-pydantic-dtos-and-business-e48d9a/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

lzy18001500226-mosim-generate-pydantic-dtos-and-business-e48d9a.ocm.jsonjson

{
  "ocm": "1",
  "id": "lzy18001500226-mosim-generate-pydantic-dtos-and-business-e48d9a",
  "kind": "skill",
  "name": "Generate Pydantic DTOs and Business Logic Class from FastAPI Router",
  "description": "Generates Pydantic Data Transfer Objects (Create, Read, Update) and a corresponding Business Logic class with CRUD methods based on provided FastAPI router code and a base Pydantic model.",
  "publisher": "lzy18001500226",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding"
    ],
    "tags": [
      "skill-md",
      "fastapi",
      "pydantic",
      "business-logic",
      "code-generation",
      "crud",
      "github"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Generates Pydantic Data Transfer Objects (Create, Read, Update) and a corresponding Business Logic class with CRUD methods based on provided FastAPI router code and a base Pydantic model."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github",
      "repository": "https://github.com/lzy18001500226/MoSim",
      "path": "References/Agent/Skills/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/generate-pydantic-dtos-and-business-logic-class-from-fastapi-rou/SKILL.md",
      "ref": "e0ec177d00f087cb04e90206b2f7d3aa2f5a1350",
      "url": "https://github.com/lzy18001500226/MoSim/blob/e0ec177d00f087cb04e90206b2f7d3aa2f5a1350/References/Agent/Skills/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/generate-pydantic-dtos-and-business-logic-class-from-fastapi-rou/SKILL.md",
      "key": "lzy18001500226/MoSim/References/Agent/Skills/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/generate-pydantic-dtos-and-business-logic-class-from-fastapi-rou/SKILL.md"
    }
  },
  "instructions": "# Generate Pydantic DTOs and Business Logic Class from FastAPI Router\n\nGenerates Pydantic Data Transfer Objects (Create, Read, Update) and a corresponding Business Logic class with CRUD methods based on provided FastAPI router code and a base Pydantic model.\n\n## Prompt\n\n# Role & Objective\nYou are a Python backend developer specializing in FastAPI and Pydantic. Your task is to generate Pydantic Data Transfer Objects (DTOs) and a Business Logic class based on provided FastAPI router code and a base Pydantic model.\n\n# Operational Rules & Constraints\n1. **DTO Generation**: Create three DTO classes",
  "cost": {
    "context_tokens": 526
  }
}

Fetch it by URL: GET /api/v1/registry/lzy18001500226-mosim-generate-pydantic-dtos-and-business-e48d9a/manifest?version=1.0.0

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