Create complete travel assistant with FastAPI backend, Next.js frontend, and Docker Compose setup #1
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This PR implements a complete AI-powered travel assistant application with separate backend and frontend components, fully containerized with Docker Compose.
🏗️ Architecture Overview
The application is structured into three main components:
🎯 Backend Implementation (
backend/)Created a FastAPI application with the following features:
Key endpoints implemented:
GET /- Root endpointGET /health- Health checkGET /recommendations- Retrieve all travel destinationsGET /recommendations/{destination}- Get specific destination detailsPOST /search- Search destinations with filters (budget, dates, preferences)🎨 Frontend Implementation (
frontend/)Developed a Next.js application with modern React patterns:
🐳 Docker Configuration
Created comprehensive containerization setup:
docker-compose.yml) with optimized buildsdocker-compose.dev.yml) with hot reload📊 Sample Data & Database Schema
Included PostgreSQL initialization with:
🚀 Easy Deployment
Added convenience features for development:
start.sh) for one-command deployment✅ Testing & Validation
All components have been tested and validated:
🔧 Usage
This implementation provides a solid foundation for an AI travel assistant with modern web technologies, proper separation of concerns, and production-ready containerization.
Warning
Firewall rules blocked me from connecting to one or more addresses (expand for details)
I tried to connect to the following addresses, but was blocked by firewall rules:
fonts.googleapis.com/usr/local/bin/node /home/REDACTED/work/TravelAssistant/TravelAssistant/frontend/node_modules/next/dist/compiled/jest-worker/processChild.js(dns block)If you need me to access, download, or install something from one of these locations, you can either:
✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.