ed660dce5a
- Added OpenAI-compatible LLM endpoints to API backend - Introduced web frontend with Jinja2 templates and static assets - Implemented API proxy routes in web service - Added sample db.json data for items, users, orders, reviews, categories, llm_requests - Updated ADC and Helm configs for separate AI and standard rate limiting - Upgraded FastAPI, Uvicorn, and added httpx, Jinja2, python-multipart dependencies - Added API configuration modal and client-side JS for web app
API Service - FastAPI
A RESTful API service built with FastAPI featuring Swagger documentation.
Features
- 📚 Automatic Swagger/OpenAPI documentation
- 🔄 RESTful API endpoints
- ✅ Data validation with Pydantic
- 📊 Statistics and monitoring endpoints
- ❤️ Health check endpoints
Local Development
Run with Python
# Install dependencies
pip install -r requirements.txt
# Run the application
python main.py
# Or use uvicorn directly
uvicorn main:app --reload --host 0.0.0.0 --port 8000
Run with Docker
# Build image
docker build -t fastapi-api .
# Run container
docker run -p 8000:8000 fastapi-api
API Endpoints
Items
GET /items- List all items (with pagination)GET /items/{item_id}- Get specific itemPOST /items- Create new itemPUT /items/{item_id}- Update itemDELETE /items/{item_id}- Delete item
Users
GET /users- List all usersGET /users/{user_id}- Get specific userPOST /users- Create new user
Other
GET /- API informationGET /health- Health checkGET /info- Service informationGET /stats- API statistics
Documentation
- Swagger UI: http://localhost:8000/docs
- ReDoc: http://localhost:8000/redoc
- OpenAPI JSON: http://localhost:8000/openapi.json
Example Requests
Create Item
curl -X POST "http://localhost:8000/items" \
-H "Content-Type: application/json" \
-d '{
"id": 4,
"name": "Monitor",
"description": "4K Display",
"price": 299.99,
"in_stock": true
}'
Get Items
curl "http://localhost:8000/items?skip=0&limit=10&in_stock=true"
Get Statistics
curl "http://localhost:8000/stats"