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Fastapi Templates

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jh941213
fastapi-templates

프로덕션 수준의 FastAPI 프로젝트 생성 및 설정 가이드. async 패턴, DI, 에러 핸들링 포함. 트리거: "FastAPI", "Python API 프로젝트", "FastAPI 프로젝트 생성", "FastAPI 템플릿", "FastAPI 설정" 안티-트리거: "Django", "Flask", "Node.js API", "Express", "기존 FastAPI 수정만"

Overview

Publisherjh941213
Repositorymy-cc-harness
Skill namefastapi-templates
Stars
125
Forks
35
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by jh941213 on GitHub. Read the source before you install it.

Installation

Install the Fastapi Templates AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jh941213/my-cc-harness.git /tmp/my-cc-harness
mkdir -p .claude/skills
cp -r /tmp/my-cc-harness/skills/fastapi-templates .claude/skills/fastapi-templates
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fastapi Templates in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Fastapi Templates on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Fastapi Templates is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

FastAPI Project Templates

Production-ready FastAPI project structures with async patterns, dependency injection, middleware, and best practices for building high-performance APIs.

When to Use This Skill

  • Starting new FastAPI projects from scratch
  • Implementing async REST APIs with Python
  • Building high-performance web services and microservices
  • Creating async applications with PostgreSQL, MongoDB
  • Setting up API projects with proper structure and testing

Core Concepts

1. Project Structure

Recommended Layout:

app/
├── api/                    # API routes
│   ├── v1/
│   │   ├── endpoints/
│   │   │   ├── users.py
│   │   │   ├── auth.py
│   │   │   └── items.py
│   │   └── router.py
│   └── dependencies.py     # Shared dependencies
├── core/                   # Core configuration
│   ├── config.py
│   ├── security.py
│   └── database.py
├── models/                 # Database models
│   ├── user.py
│   └── item.py
├── schemas/                # Pydantic schemas
│   ├── user.py
│   └── item.py
├── services/               # Business logic
│   ├── user_service.py
│   └── auth_service.py
├── repositories/           # Data access
│   ├── user_repository.py
│   └── item_repository.py
└── main.py                 # Application entry

2. Dependency Injection

FastAPI's built-in DI system using Depends:

  • Database session management
  • Authentication/authorization
  • Shared business logic
  • Configuration injection

3. Async Patterns

Proper async/await usage:

  • Async route handlers
  • Async database operations
  • Async background tasks
  • Async middleware

Implementation Patterns

Pattern 1: Complete FastAPI Application

python
# main.py
from fastapi import FastAPI, Depends
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager

@asynccontextmanager
async def lifespan(app: FastAPI):
    """Application lifespan events."""
    # Startup
    await database.connect()
    yield
    # Shutdown
    await database.disconnect()

app = FastAPI(
    title="API Template",
    version="1.0.0",
    lifespan=lifespan
)

# CORS middleware
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Include routers
from app.api.v1.router import api_router
app.include_router(api_router, prefix="/api/v1")

# core/config.py
from pydantic_settings import BaseSettings, SettingsConfigDict
from functools import lru_cache

class Settings(BaseSettings):
    """Application settings."""
    model_config = SettingsConfigDict(env_file=".env")

    DATABASE_URL: str
    SECRET_KEY: str
    ACCESS_TOKEN_EXPIRE_MINUTES: int = 30
    API_V1_STR: str = "/api/v1"

@lru_cache()
def get_settings() -> Settings:
    return Settings()

# core/database.py
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from app.core.config import get_settings

settings = get_settings()

engine = create_async_engine(
    settings.DATABASE_URL,
    echo=True,
    future=True
)

AsyncSessionLocal = sessionmaker(
    engine,
    class_=AsyncSession,
    expire_on_commit=False
)

Base = declarative_base()

async def get_db() -> AsyncSession:
    """Dependency for database session."""
    async with AsyncSessionLocal() as session:
        try:
            yield session
            await session.commit()
        except Exception:
            await session.rollback()
            raise
        finally:
            await session.close()

Pattern 2: CRUD Repository Pattern

python
# repositories/base_repository.py
from typing import Generic, TypeVar, Type, Optional, List
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select
from pydantic import BaseModel

ModelType = TypeVar("ModelType")
CreateSchemaType = TypeVar("CreateSchemaType", bound=BaseModel)
UpdateSchemaType = TypeVar("UpdateSchemaType", bound=BaseModel)

class BaseRepository(Generic[ModelType, CreateSchemaType, UpdateSchemaType]):
    """Base repository for CRUD operations."""

    def __init__(self, model: Type[ModelType]):
        self.model = model

    async def get(self, db: AsyncSession, id: int) -> Optional[ModelType]:
        """Get by ID."""
        result = await db.execute(
            select(self.model).where(self.model.id == id)
        )
        return result.scalars().first()

    async def get_multi(
        self,
        db: AsyncSession,
        skip: int = 0,
        limit: int = 100
    ) -> List[ModelType]:
        """Get multiple records."""
        result = await db.execute(
            select(self.model).offset(skip).limit(limit)
        )
        return result.scalars().all()

    async def create(
        self,
        db: AsyncSession,
        obj_in: CreateSchemaType
    ) -> ModelType:
        """Create new record."""
        db_obj = self.model(**obj_in.model_dump())
        db.add(db_obj)
        await db.flush()
        await db.refresh(db_obj)
        return db_obj

    async def update(
        self,
        db: AsyncSession,
        db_obj: ModelType,
        obj_in: UpdateSchemaType
    ) -> ModelType:
        """Update record."""
        update_data = obj_in.model_dump(exclude_unset=True)
        for field, value in update_data.items():
            setattr(db_obj, field, value)
        await db.flush()
        await db.refresh(db_obj)
        return db_obj

    async def delete(self, db: AsyncSession, id: int) -> bool:
        """Delete record."""
        obj = await self.get(db, id)
        if obj:
            await db.delete(obj)
            return True
        return False

# repositories/user_repository.py
from app.repositories.base_repository import BaseRepository
from app.models.user import User
from app.schemas.user import UserCreate, UserUpdate

class UserRepository(BaseRepository[User, UserCreate, UserUpdate]):
    """User-specific repository."""

    async def get_by_email(self, db: AsyncSession, email: str) -> Optional[User]:
        """Get user by email."""
        result = await db.execute(
            select(User).where(User.email == email)
        )
        return result.scalars().first()

    async def is_active(self, db: AsyncSession, user_id: int) -> bool:
        """Check if user is active."""
        user = await self.get(db, user_id)
        return user.is_active if user else False

user_repository = UserRepository(User)

Pattern 3: Service Layer

python
# services/user_service.py
from typing import Optional
from sqlalchemy.ext.asyncio import AsyncSession
from app.repositories.user_repository import user_repository
from app.schemas.user import UserCreate, UserUpdate, User
from app.core.security import get_password_hash, verify_password

class UserService:
    """Business logic for users."""

    def __init__(self):
        self.repository = user_repository

    async def create_user(
        self,
        db: AsyncSession,
        user_in: UserCreate
    ) -> User:
        """Create new user with hashed password."""
        # Check if email exists
        existing = await self.repository.get_by_email(db, user_in.email)
        if existing:
            raise ValueError("Email already registered")

        # Hash password
        user_in_dict = user_in.model_dump()
        user_in_dict["hashed_password"] = get_password_hash(user_in_dict.pop("password"))

        # Create user
        user = await self.repository.create(db, UserCreate(**user_in_dict))
        return user

    async def authenticate(
        self,
        db: AsyncSession,
        email: str,
        password: str
    ) -> Optional[User]:
        """Authenticate user."""
        user = await self.repository.get_by_email(db, email)
        if not user:
            return None
        if not verify_password(password, user.hashed_password):
            return None
        return user

    async def update_user(
        self,
        db: AsyncSession,
        user_id: int,
        user_in: UserUpdate
    ) -> Optional[User]:
        """Update user."""
        user = await self.repository.get(db, user_id)
        if not user:
            return None

        if user_in.password:
            user_in_dict = user_in.model_dump(exclude_unset=True)
            user_in_dict["hashed_password"] = get_password_hash(
                user_in_dict.pop("password")
            )
            user_in = UserUpdate(**user_in_dict)

        return await self.repository.update(db, user, user_in)

user_service = UserService()

Pattern 4: API Endpoints with Dependencies

python
# api/v1/endpoints/users.py
from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy.ext.asyncio import AsyncSession
from typing import List

from app.core.database import get_db
from app.schemas.user import User, UserCreate, UserUpdate
from app.services.user_service import user_service
from app.api.dependencies import get_current_user

router = APIRouter()

@router.post("/", response_model=User, status_code=status.HTTP_201_CREATED)
async def create_user(
    user_in: UserCreate,
    db: AsyncSession = Depends(get_db)
):
    """Create new user."""
    try:
        user = await user_service.create_user(db, user_in)
        return user
    except ValueError as e:
        raise HTTPException(status_code=400, detail=str(e))

@router.get("/me", response_model=User)
async def read_current_user(
    current_user: User = Depends(get_current_user)
):
    """Get current user."""
    return current_user

@router.get("/{user_id}", response_model=User)
async def read_user(
    user_id: int,
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_current_user)
):
    """Get user by ID."""
    user = await user_service.repository.get(db, user_id)
    if not user:
        raise HTTPException(status_code=404, detail="User not found")
    return user

@router.patch("/{user_id}", response_model=User)
async def update_user(
    user_id: int,
    user_in: UserUpdate,
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_current_user)
):
    """Update user."""
    if current_user.id != user_id:
        raise HTTPException(status_code=403, detail="Not authorized")

    user = await user_service.update_user(db, user_id, user_in)
    if not user:
        raise HTTPException(status_code=404, detail="User not found")
    return user

@router.delete("/{user_id}", status_code=status.HTTP_204_NO_CONTENT)
async def delete_user(
    user_id: int,
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_current_user)
):
    """Delete user."""
    if current_user.id != user_id:
        raise HTTPException(status_code=403, detail="Not authorized")

    deleted = await user_service.repository.delete(db, user_id)
    if not deleted:
        raise HTTPException(status_code=404, detail="User not found")

Pattern 5: Authentication & Authorization

python
# core/security.py
from datetime import datetime, timedelta
from typing import Optional
from jose import JWTError, jwt
from passlib.context import CryptContext
from app.core.config import get_settings

settings = get_settings()
pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")

ALGORITHM = "HS256"

def create_access_token(data: dict, expires_delta: Optional[timedelta] = None):
    """Create JWT access token."""
    to_encode = data.copy()
    if expires_delta:
        expire = datetime.utcnow() + expires_delta
    else:
        expire = datetime.utcnow() + timedelta(minutes=15)
    to_encode.update({"exp": expire})
    encoded_jwt = jwt.encode(to_encode, settings.SECRET_KEY, algorithm=ALGORITHM)
    return encoded_jwt

def verify_password(plain_password: str, hashed_password: str) -> bool:
    """Verify password against hash."""
    return pwd_context.verify(plain_password, hashed_password)

def get_password_hash(password: str) -> str:
    """Hash password."""
    return pwd_context.hash(password)

# api/dependencies.py
from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer
from jose import JWTError, jwt
from sqlalchemy.ext.asyncio import AsyncSession

from app.core.database import get_db
from app.core.security import ALGORITHM
from app.core.config import get_settings
from app.repositories.user_repository import user_repository

oauth2_scheme = OAuth2PasswordBearer(tokenUrl=f"{settings.API_V1_STR}/auth/login")

async def get_current_user(
    db: AsyncSession = Depends(get_db),
    token: str = Depends(oauth2_scheme)
):
    """Get current authenticated user."""
    credentials_exception = HTTPException(
        status_code=status.HTTP_401_UNAUTHORIZED,
        detail="Could not validate credentials",
        headers={"WWW-Authenticate": "Bearer"},
    )

    try:
        payload = jwt.decode(token, settings.SECRET_KEY, algorithms=[ALGORITHM])
        user_id: int = payload.get("sub")
        if user_id is None:
            raise credentials_exception
    except JWTError:
        raise credentials_exception

    user = await user_repository.get(db, user_id)
    if user is None:
        raise credentials_exception

    return user

Testing

python
# tests/conftest.py
import pytest
import asyncio
from httpx import AsyncClient
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
from sqlalchemy.orm import sessionmaker

from app.main import app
from app.core.database import get_db, Base

TEST_DATABASE_URL = "sqlite+aiosqlite:///:memory:"

@pytest.fixture(scope="session")
def event_loop():
    loop = asyncio.get_event_loop_policy().new_event_loop()
    yield loop
    loop.close()

@pytest.fixture
async def db_session():
    engine = create_async_engine(TEST_DATABASE_URL, echo=True)
    async with engine.begin() as conn:
        await conn.run_sync(Base.metadata.create_all)

    AsyncSessionLocal = sessionmaker(
        engine, class_=AsyncSession, expire_on_commit=False
    )

    async with AsyncSessionLocal() as session:
        yield session

@pytest.fixture
async def client(db_session):
    async def override_get_db():
        yield db_session

    app.dependency_overrides[get_db] = override_get_db

    async with AsyncClient(app=app, base_url="http://test") as client:
        yield client

# tests/test_users.py
import pytest

@pytest.mark.asyncio
async def test_create_user(client):
    response = await client.post(
        "/api/v1/users/",
        json={
            "email": "test@example.com",
            "password": "testpass123",
            "name": "Test User"
        }
    )
    assert response.status_code == 201
    data = response.json()
    assert data["email"] == "test@example.com"
    assert "id" in data

Resources

  • references/fastapi-architecture.md: Detailed architecture guide
  • references/async-best-practices.md: Async/await patterns
  • references/testing-strategies.md: Comprehensive testing guide
  • assets/project-template/: Complete FastAPI project
  • assets/docker-compose.yml: Development environment setup

Best Practices

  1. Async All The Way: Use async for database, external APIs
  2. Dependency Injection: Leverage FastAPI's DI system
  3. Repository Pattern: Separate data access from business logic
  4. Service Layer: Keep business logic out of routes
  5. Pydantic Schemas: Strong typing for request/response
  6. Error Handling: Consistent error responses
  7. Testing: Test all layers independently

Common Pitfalls

  • Blocking Code in Async: Using synchronous database drivers
  • No Service Layer: Business logic in route handlers
  • Missing Type Hints: Loses FastAPI's benefits
  • Ignoring Sessions: Not properly managing database sessions
  • No Testing: Skipping integration tests
  • Tight Coupling: Direct database access in routes

Frequently asked questions

What does the Fastapi Templates AI skill do?

프로덕션 수준의 FastAPI 프로젝트 생성 및 설정 가이드. async 패턴, DI, 에러 핸들링 포함. 트리거: "FastAPI", "Python API 프로젝트", "FastAPI 프로젝트 생성", "FastAPI 템플릿", "FastAPI 설정" 안티-트리거: "Django", "Flask", "Node.js API", "Express", "기존 FastAPI 수정만"

Why use Fastapi Templates on TypingMind?

Because you install it once and use it with any model. Fastapi Templates is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Fastapi Templates in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jh941213/my-cc-harness/tree/main/skills/fastapi-templates. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fastapi Templates?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Fastapi Templates?

As many as you like. As long as a model supports skills, you can use Fastapi Templates with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Fastapi Templates AI skill free?

It is published on GitHub by jh941213. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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