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Nutrition Optimization Machine (NOM)

A comprehensive, production-ready nutrition and meal planning application built with modern technologies and advanced AI features.

Production Ready Docker Tests Documentation

Quick Start

Production Deployment (Recommended)

# Clone and setup
git clone <repository-url>
cd nom

# Create environment file
cp .env.example .env
# Edit .env with your production values

# Deploy with Docker
docker-compose up -d

# Verify deployment
curl http://localhost/health

Development Setup

# Backend
cd nom-api
dotnet restore
dotnet run

# Frontend (new terminal)
cd nom-ui
npm install
ng serve

# Testing (new terminal)
cd nom-test
npm install
npm run test:integration

Architecture

Technology Stack

Component Technology Version
Frontend Angular 17+
Backend .NET 9.0
Database PostgreSQL 16+
Cache Redis 7+
Testing Cypress Latest
Deployment Docker Latest

System Architecture

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Angular UI    │--->│   .NET API      │--->│  PostgreSQL DB  │
│  (nom-ui)       │    │  (nom-api)      │    │                 │
│                 │    │                 │    │                 │
│ - Material 3    │    │ - RESTful API   │    │ - Entity Data   │
│ - Standalone    │    │ - JWT Auth      │    │ - Migrations    │
│ - Base Components│   │ - Health Checks │    │ - Seeding       │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         │              ┌─────────────────┐             │
         │              │     Redis       │             │
         └──────────────│    (Cache)      │─────────────┘
                        │                 │
                        │ - Sessions      │
                        │ - Rate Limiting │
                        └─────────────────┘

Key Features

Core Functionality

  • Recipe Management - Create, edit, organize recipes with AI assistance
  • Ingredient Database - 8,000+ high-quality ingredients with nutrition data
  • Meal Planning - Smart meal planning with dietary restrictions
  • Shopping Lists - Auto-generated lists from meal plans
  • Nutrition Tracking - Comprehensive nutrient analysis and goals

Advanced Features

  • AI Recipe Suggestions - Intelligent recipe recommendations
  • Content Curation - Community-driven quality control
  • Privacy Compliance - Full GDPR compliance with data rights
  • User Onboarding - Multi-step personalization workflow
  • Household Management - Multi-user household support
  • Web Scraping - Import recipes from popular sites

Production Features

  • Docker Deployment - Complete containerization
  • Health Monitoring - Comprehensive health checks
  • Security Hardening - Multiple security middleware layers
  • Rate Limiting - Advanced request throttling
  • Audit Logging - Complete request/response logging
  • CI/CD Pipeline - Automated testing and deployment

Project Structure

nom/
├── docs/                        # Complete documentation
│   ├── architecture/            # System & component architecture
│   ├── development/             # Development guidelines & patterns
│   ├── requirements/            # Functional & non-functional requirements
│   └── workflows/               # Development processes
├── nom-ui/                      # Angular frontend application
│   ├── src/app/
│   │   ├── common/             # Base components & shared utilities
│   │   ├── recipe/             # Recipe management features
│   │   ├── meal-plan/          # Meal planning functionality
│   │   ├── shopping/           # Shopping list management
│   │   └── person/             # User management & profiles
├── nom-api/                     # .NET backend API
│   ├── Nom.Api/                # API controllers & middleware
│   ├── Nom.Data/               # Entity Framework & database
│   ├── Nom.Orch/               # Business logic & orchestration
│   └── Nom.Import/             # Data import & seeding utilities
├── nom-test/                    # Comprehensive test suite
│   └── cypress/e2e/            # End-to-end integration tests
├── docker-compose.yml           # Production deployment
├── .github/workflows/           # CI/CD automation
└── README.md                    # This file

Development

Prerequisites

  • Docker Desktop (Download) -- required for all development paths
  • .NET 9.0 SDK (Download) -- only for native development
  • Node.js 20+ (Download) -- only for native development

Option A: Docker Development (Recommended)

Everything runs in containers -- no local SDK installs required.

1. Create .env.dev at the repository root:

# Database
POSTGRES_DB=nom_dev
POSTGRES_USER=nom
POSTGRES_PASSWORD=dev_password
POSTGRES_HOST=localhost
POSTGRES_PORT=5432

# JWT
JWT_SECRET_KEY=dev_jwt_secret_key_minimum_32_characters_long_for_development
JWT_ISSUER=NOMApi
JWT_AUDIENCE=NOMAngular
JWT_EXPIRATION_MINUTES=1440

# Application
ASPNETCORE_ENVIRONMENT=Development
API_PORT=8080
UI_PORT=4200
ALLOWED_ORIGINS=http://localhost:4200,http://localhost:4201

# Redis
REDIS_CONNECTION_STRING=localhost:6379

# pgAdmin (optional, for database browsing)
PGADMIN_EMAIL=admin@nom.local
PGADMIN_PASSWORD=admin

2. Start the stack:

# Windows
dev.bat start-full

# Linux / macOS
./dev.sh start-full

3. Apply database migrations (first time only):

Open a shell in the API container and run:

docker exec -it nom_api_dev bash
dotnet tool install --global dotnet-ef
export PATH="$PATH:$HOME/.dotnet/tools"
dotnet ef database update \
  --project Nom.Data/Nom.Data.csproj \
  --startup-project Nom.Api/Nom.Api.csproj \
  -- --connection "Host=postgres-dev;Database=nom_dev;Username=nom;Password=dev_password"

4. Grant admin claims (first time, after creating your first account):

docker exec -i nom_postgres_dev psql -U nom -d nom_dev < _GrantInitialAdminClaims.sql

The app is available at http://localhost:4200.

Option B: Native Development

Run PostgreSQL and Redis in Docker; run the API and UI natively for faster iteration.

1. Start infrastructure:

# Windows
dev.bat start

# Linux / macOS
./dev.sh start

2. Create nom-api/Nom.Api/appsettings.Development.json:

{
  "ConnectionStrings": {
    "NomConnection": "Host=localhost;Database=nom_dev;Username=nom;Password=dev_password"
  }
}

This file is gitignored. Never commit connection strings with real credentials.

3. Run the API:

cd nom-api
dotnet run --project Nom.Api/Nom.Api.csproj

The API starts at http://localhost:7053.

4. Run the UI:

cd nom-ui
npm install
ng serve

The UI starts at http://localhost:4200 and proxies API requests to localhost:7053 via proxy.config.json.

Local Configuration Files Reference

These files are gitignored and must be created locally. None should ever be committed.

File When Needed Purpose
.env.dev Docker dev Environment variables for docker-compose.dev.full.yml
nom-api/Nom.Api/appsettings.Development.json Native dev API connection string and local overrides
nom-test/cypress.env.json Running Cypress tests Test runner base URLs (see below)

nom-test/cypress.env.json template:

{
  "baseUrl": "http://localhost:4200",
  "apiUrl": "http://localhost:8080"
}

Development Workflow

  1. Read Documentation - Start with docs/README.md
  2. Follow Standards - Review Development Standards (MANDATORY)
  3. Use Base Components - Follow Component Architecture
  4. Test Thoroughly - Run comprehensive test suite

Code Quality Standards

  • File Separation - One class/interface per file (strictly enforced)
  • Naming Conventions - Abstract classes use _ prefix, interfaces use I prefix
  • Component Architecture - Use base components for consistency
  • Modern Patterns - Angular standalone components, .NET 9 features
  • Security First - Input validation, rate limiting, audit logging

Testing

Test Categories

Test Type Framework Coverage Command
Integration Cypress Complete user journeys npm run test:integration
API Tests Cypress All endpoints npm run test:api
Unit Tests xUnit Backend logic dotnet test
E2E Tests Cypress Frontend workflows npm run test

Quality Metrics

  • 91% Production Ready - Based on comprehensive assessment
  • Comprehensive Test Coverage - All critical paths tested
  • Security Validated - Multiple security layers implemented
  • Performance Optimized - Rate limiting, caching, health checks

Deployment

Production Deployment

The application is production-ready and can be deployed immediately:

# Quick deployment
docker-compose up -d

# Verify health
curl http://localhost/health

See Production Deployment Guide for complete instructions.

Environment Configuration

Create .env file with your production values:

# Database
POSTGRES_PASSWORD=your_secure_password
JWT_SECRET_KEY=your_jwt_secret_key

# Application
ALLOWED_ORIGINS=https://yourdomain.com
ASPNETCORE_ENVIRONMENT=Production

Documentation

Getting Started

Architecture & Patterns

Migration & Development

Contributing

Development Process

  1. Follow Architecture Patterns - Use established base components
  2. Maintain Code Quality - Follow naming conventions and file separation rules
  3. Test Thoroughly - All changes must include appropriate tests
  4. Update Documentation - Keep documentation current with changes
  5. Security First - Consider security implications of all changes

Code Review Checklist

  • Follows Development Standards
  • Uses appropriate base components
  • Includes comprehensive tests
  • Updates relevant documentation
  • Passes all CI/CD checks

Security

  • JWT Authentication - Secure token-based authentication
  • Rate Limiting - Advanced request throttling
  • Security Headers - CSP, HSTS, XSS protection
  • Input Validation - Comprehensive request validation
  • Audit Logging - Complete request/response logging
  • Container Security - Non-root containers, security scanning

Performance

  • Database Optimization - Efficient queries, proper indexing
  • Caching Strategy - Redis caching for sessions and rate limiting
  • Health Monitoring - Comprehensive health checks
  • Resource Management - Proper disposal patterns
  • Bundle Optimization - Efficient frontend builds

License

This project is licensed under the MIT License - see the LICENSE file for details.


Need Help?

Ready to deploy? Your application is 91% production-ready!

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