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Copilot AI commented Sep 18, 2025

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: FastAPI application with PostgreSQL database
  • Frontend: Next.js application with TypeScript
  • Infrastructure: Docker Compose for orchestration

🎯 Backend Implementation (backend/)

Created a FastAPI application with the following features:

  • RESTful API with endpoints for travel recommendations and search
  • PostgreSQL integration using SQLAlchemy ORM for data persistence
  • CORS configuration to enable frontend communication
  • Environment-based configuration for flexible deployment
  • Health check endpoints for monitoring and container orchestration

Key endpoints implemented:

  • GET / - Root endpoint
  • GET /health - Health check
  • GET /recommendations - Retrieve all travel destinations
  • GET /recommendations/{destination} - Get specific destination details
  • POST /search - Search destinations with filters (budget, dates, preferences)

🎨 Frontend Implementation (frontend/)

Developed a Next.js application with modern React patterns:

  • Next.js 14 with App Router for optimal performance and SEO
  • TypeScript with strict type checking for code reliability
  • Styled Components for component-scoped CSS and responsive design
  • API integration with custom hooks and error handling
  • Search interface with budget filtering and date selection
  • Recommendation cards displaying destination details and highlights

🐳 Docker Configuration

Created comprehensive containerization setup:

  • Production configuration (docker-compose.yml) with optimized builds
  • Development configuration (docker-compose.dev.yml) with hot reload
  • PostgreSQL service with health checks and data persistence
  • Network configuration for secure inter-service communication
  • Volume management for database persistence and development workflows

📊 Sample Data & Database Schema

Included PostgreSQL initialization with:

  • Destinations table with travel information, costs, and highlights
  • Travel plans table for future user itinerary features
  • Sample data for popular destinations (Paris, Tokyo, New York, Barcelona)

🚀 Easy Deployment

Added convenience features for development:

  • Startup script (start.sh) for one-command deployment
  • Environment examples with clear configuration options
  • Documentation with setup instructions and troubleshooting guide

✅ Testing & Validation

All components have been tested and validated:

  • FastAPI endpoints return correct responses with proper HTTP status codes
  • Next.js application builds successfully with TypeScript type checking
  • Docker Compose configuration validated and services start correctly
  • API integration tested with search functionality and data retrieval

🔧 Usage

# Start in development mode (with hot reload)
./start.sh

# Start in production mode
./start.sh prod

# Access the application
# Frontend: http://localhost:3000
# Backend API: http://localhost:8000
# API Documentation: http://localhost:8000/docs

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
    • Triggering command: /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.

Co-authored-by: ericdjm <99841293+ericdjm@users.noreply.github.com>
@ericdjm ericdjm marked this pull request as ready for review September 18, 2025 17:10
Co-authored-by: ericdjm <99841293+ericdjm@users.noreply.github.com>
Copilot AI changed the title [WIP] I would like to create a backend using fastapi/unicorn and postgres, a frontend using next.js/typescript. Create me a docker compose file for running this. separate the backend and frontend in two different folders Create complete travel assistant with FastAPI backend, Next.js frontend, and Docker Compose setup Sep 18, 2025
Copilot AI requested a review from ericdjm September 18, 2025 17:15
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2 participants