home / skills / first-fluke / fullstack-starter / fastapi-templates
This skill provides production-ready FastAPI project templates and patterns to accelerate starting new services and standardize architecture.
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---
name: fastapi-templates
description: Production-ready FastAPI project templates and patterns. Use when starting new FastAPI projects, services, or adding standard components like auth, DB connection, or middleware.
---
# FastAPI Templates
This skill provides production-ready templates and scaffolding patterns for FastAPI applications.
## When to Use
- Starting a new FastAPI service or project.
- Adding standard components (Auth, DB, Logging) to an existing app.
- Standardizing project structure across the team.
## Project Structure Template
Recommended structure for scalable FastAPI apps:
```
src/
├── api/
│ ├── v1/
│ │ ├── endpoints/ # Route handlers
│ │ └── api.py # Router aggregation
│ └── deps.py # Dependencies (get_current_user, etc.)
├── core/
│ ├── config.py # Pydantic BaseSettings
│ └── security.py # JWT & Password hashing
├── db/
│ ├── models/ # SQLAlchemy models
│ ├── session.py # DB engine and session factory
│ └── base.py # Import all models here
├── schemas/ # Pydantic models (Request/Response)
├── services/ # Business logic
└── main.py # App entrypoint
```
## Code Templates
### 1. Standard API Endpoint
```python
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.ext.asyncio import AsyncSession
from src.api import deps
from src.schemas.item import ItemCreate, Item
from src.services import item_service
router = APIRouter()
@router.post("/", response_model=Item)
async def create_item(
item_in: ItemCreate,
db: AsyncSession = Depends(deps.get_db),
current_user = Depends(deps.get_current_user),
) -> Item:
"""
Create a new item.
"""
return await item_service.create(db, obj_in=item_in, owner_id=current_user.id)
```
### 2. Pydantic Settings
```python
from pydantic_settings import BaseSettings
class Settings(BaseSettings):
PROJECT_NAME: str = "FastAPI App"
DATABASE_URL: str
SECRET_KEY: str
class Config:
case_sensitive = True
env_file = ".env"
settings = Settings()
```
### 3. SQLAlchemy Async Model
```python
from sqlalchemy import Column, Integer, String
from src.db.base_class import Base
class Item(Base):
id = Column(Integer, primary_key=True, index=True)
title = Column(String, index=True)
description = Column(String, nullable=True)
```
This skill provides production-ready FastAPI project templates and scaffolding patterns to bootstrap services quickly and consistently. It bundles recommended project layout, example endpoints, Pydantic settings, and async SQLAlchemy models so teams can start with a solid, maintainable foundation. Use it to reduce boilerplate, enforce conventions, and accelerate reliable API development.
The templates define a scalable directory structure (api, core, db, schemas, services, main) and include sample code for common concerns: endpoints, dependency injection, settings management, and async models. It supplies ready-to-use snippets for APIRouter endpoints, Pydantic BaseSettings, and SQLAlchemy async models that integrate with dependency-based DB sessions and authentication. Developers copy or adapt the scaffolding into a new project, then replace the sample components with domain-specific logic.
Can I use these templates with synchronous SQLAlchemy?
Yes. The structure is agnostic; swap async session patterns for synchronous sessions and adjust dependency code accordingly.
How do I handle secrets in production?
Keep secrets out of source control, load them via environment variables or a secret manager, and use Pydantic BaseSettings to centralize configuration.