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Warehouse Management System (WMS)

CI Status Tests Production Ready License

A production-ready warehouse management system for pallet racking warehouses with FEFO (First Expired, First Out) compliance for food products requiring strict expiry date tracking.

📋 Table of Contents

🎯 Overview

WMS is a comprehensive, full-stack warehouse management system specifically designed for pallet racking warehouses managing food products. Built with modern technologies and production-ready DevOps practices, it ensures food safety compliance through automated FEFO (First Expired, First Out) enforcement.

Target Audience

  • Pallet racking warehouses
  • Food product distribution centers
  • Operations requiring strict expiry date tracking
  • Multi-warehouse operations with cross-site transfers

Key Differentiators

  • ✅ FEFO Compliance: Automated 3-level sort algorithm ensuring oldest products are picked first
  • ✅ Hungarian Localization: 100% Hungarian UI with proper date/number formatting
  • ✅ Production-Ready: Phase 6 complete with 279 tests, zero-downtime deployment, comprehensive monitoring
  • ✅ Full-Stack Modern: React 19 + FastAPI with real-time updates

Current Status

Phase 8 - Data Management (Complete ✅)

  • 28 commits, 78 files changed (+17,553 lines, -118 lines)
  • 5 sub-phases delivered (Delete, Generation, Import/Export, Validation, Frontend)
  • 5-step generation wizard (flagship feature)
  • 15 new API endpoints for data operations
  • Hungarian encoding fixes (UTF-8 BOM for Excel)
  • Build status: ✅ SUCCESS (16.76s)
  • Tests pending: ~40 backend + ~15 E2E (~9 hours remaining)

✨ Key Features

🔬 Food Safety Compliance

  • FEFO Algorithm: 3-level sort priority (use_by_date → batch_number → received_date)
  • Expiry Warnings: 4 urgency levels (critical < 7 days, high 7-14 days, medium 15-30 days, low 31-60 days)
  • Immutable Audit Trail: Complete chain of custody for all inventory movements
  • Manager Override: FEFO override capability with documented reason for exceptions

💻 Full-Stack Modern Application

  • React 19 Frontend: Latest hooks (useActionState, useOptimistic), Tailwind CSS 4.0, shadcn/ui
  • FastAPI 0.125.0 Backend: Async Python 3.13+, SQLAlchemy 2.0.45, PostgreSQL 17
  • Real-time Updates: TanStack Query 5.90+ for server state synchronization
  • 100% Hungarian UI: All user-facing text, validation messages, date/number formats

🚀 Production-Ready DevOps

  • Zero-Downtime Deployment: Automated deploy script with pre-deployment backup and rollback
  • 6 Docker Services: PostgreSQL, Valkey, Backend (Gunicorn), Celery Worker/Beat, Frontend (Nginx)
  • Automated Operations: 4 production scripts (install, deploy, backup, restore)
  • Comprehensive Monitoring: 20+ Prometheus metrics, structured JSON logging, rate limiting

🧪 Enterprise Testing

  • 283 Total Tests: 177 backend (pytest) + 47 E2E (Playwright multi-browser) + 59 unit (Vitest)
  • Pass Rates: Backend 177/177 (100%) ✅ | Frontend Unit 59/59 (100%) ✅ | E2E 41/47 (87%) ⚠️ 6 tests require template-aware updates
  • 3-Job CI Pipeline: Backend (1m45s), Frontend (38s), E2E (3m50s)
  • 100% Phase Coverage: All features from Phases 1-7 fully tested
  • Multi-Browser E2E: Chromium, Firefox, WebKit with graceful degradation

🏢 Advanced Operations

  • Multi-Warehouse Support: Cross-warehouse transfers with dispatch/confirm workflow
  • Stock Reservations: FEFO-compliant allocation for customer orders with auto-expiry
  • Background Jobs: 3 Celery scheduled tasks (cleanup, expiry check, email alerts)
  • Bulk Bin Generation: Cartesian product algorithm (e.g., A-C × 1-10 × 1-5 × 1-4 = 600 bins)

🎯 Data Management (Phase 8)

  • 5-Step Generation Wizard: Progressive disclosure with smart validation and quality metrics
  • Smart Data Generation: 3 preset templates (Quick Start, Realistic Test, Stress Test) with database analysis
  • Safe Cascade Delete: Entity deletion with dependency preview and audit logging
  • Import/Export: CSV and Excel formats with UTF-8 BOM encoding for Hungarian characters (á, é, ő, ű)
  • Data Validation: 15+ integrity checks with orphaned records and FEFO compliance detection
  • Statistics Dashboard: Real-time database metrics with occupancy and movement tracking

🛠 Technology Stack

Backend

Component Version Purpose
Python 3.13+ Runtime environment
FastAPI 0.125.0 Async web framework
SQLAlchemy 2.0.45 Async ORM with asyncpg
PostgreSQL 17.7 Primary database
Valkey 8.1 Redis-compatible cache (BSD license)

Frontend

Component Version Purpose
React 19.0.1 UI framework with latest hooks
Vite 7.2+ Lightning-fast build tool
Tailwind CSS 4.0 CSS-first styling
shadcn/ui canary React 19 + Tailwind v4 components
TanStack Query 5.90+ Server state management

DevOps & Infrastructure

Component Version Purpose
Docker Compose Latest Container orchestration
GitHub Actions Latest CI/CD pipeline (3 jobs)
Gunicorn + Uvicorn Latest Production WSGI/ASGI server
Nginx 1.27 Static hosting + API proxy

📘 See w7-WHv1/README.md for complete technology stack with all 38 components

🏗 Architecture

┌─────────────────────────────────────────────────────────────────┐
│                         User Browser                            │
│                    (React 19 + Tailwind v4)                     │
└────────────────────────────┬────────────────────────────────────┘
                             │ HTTP/HTTPS
                             ▼
┌─────────────────────────────────────────────────────────────────┐
│                      Nginx (Port 80/443)                        │
│  • Static assets (React build)                                  │
│  • API proxy to backend (/api/* → backend:8000)                │
└────────────────────────────┬────────────────────────────────────┘
                             │
                             ▼
┌─────────────────────────────────────────────────────────────────┐
│              FastAPI Backend (Gunicorn + 4 Uvicorn)             │
│  • REST API (45+ endpoints)                                     │
│  • JWT Authentication & RBAC                                    │
│  • FEFO business logic                                          │
└───────┬──────────────┬──────────────┬──────────────┬────────────┘
        │              │              │              │
        ▼              ▼              ▼              ▼
┌──────────────┐ ┌──────────┐ ┌─────────────┐ ┌─────────────┐
│ PostgreSQL 17│ │ Valkey 8.1│ │Celery Worker│ │ Celery Beat │
│ (Database)   │ │ (Cache)   │ │(Background) │ │ (Scheduler) │
└──────────────┘ └──────────┘ └─────────────┘ └─────────────┘

Services Overview

  1. Frontend (Nginx): Serves React 19 SPA with security headers and SPA routing
  2. Backend (FastAPI): Handles API requests, authentication, business logic
  3. PostgreSQL: Stores inventory, products, users, movements, reservations
  4. Valkey: Caches session data, Celery broker/result backend
  5. Celery Worker: Processes background jobs (cleanup, alerts)
  6. Celery Beat: Schedules periodic tasks (hourly/daily)

📘 See w7-WHv1/README.md for detailed architecture and data flows

🚀 Quick Start

Prerequisites

  • Development: Docker Desktop, Git
  • Production: Ubuntu 24.04+, Docker Engine, 4GB+ RAM

Development: Full Stack with Docker

Start the complete application (backend + frontend + database):

# 1. Clone repository
git clone <repository-url>
cd w7-WAREHOUSE/w7-WHv1

# 2. Start all services (PostgreSQL, Valkey, Backend)
docker-compose up -d

# 3. Run database migrations
docker-compose exec backend alembic upgrade head

# 4. Seed initial data (admin user: admin/Admin123!)
docker-compose exec backend python -m app.db.seed

# 5. Start frontend development server
cd frontend
npm install
npm run dev

# 6. Access application
# Backend API: http://localhost:8000/docs
# Frontend UI: http://localhost:5173
# Login: admin / Admin123!

Development Mode:

  • Backend runs in Docker with hot-reload (--reload)
  • Frontend runs with Vite dev server (hot module replacement)
  • Database and Valkey run in Docker containers

Production: One-Command Install

Deploy to production Ubuntu server:

# Automated installation (Ubuntu 24.04+)
cd w7-WAREHOUSE
sudo bash scripts/install-production.sh

# This installs:
# - Docker Engine
# - UFW firewall + Fail2Ban
# - Generates secure secrets
# - Builds 6 Docker images
# - Runs migrations + seeds data
# - Starts all services

# Access: http://<your-server-ip>
# Login: admin / Admin123! (change immediately!)

Production Stack: 6 services (PostgreSQL, Valkey, Backend, Celery Worker, Celery Beat, Frontend)

📘 See w7-WHv1/README.md for complete setup options and troubleshooting

📁 Project Structure

w7-WAREHOUSE/
├── w7-WHv1/                    # Main application
│   ├── backend/                # FastAPI backend (173 tests)
│   │   ├── app/               # Application code
│   │   │   ├── api/v1/       # REST API endpoints (30+)
│   │   │   ├── core/         # Config, security, metrics
│   │   │   ├── db/models/    # SQLAlchemy models
│   │   │   ├── services/     # Business logic (FEFO, etc)
│   │   │   └── tests/        # pytest test suite
│   │   ├── alembic/          # Database migrations
│   │   └── requirements.txt   # Python dependencies
│   ├── frontend/              # React 19 frontend (106 tests)
│   │   ├── src/              # Source code
│   │   │   ├── components/  # UI components
│   │   │   ├── pages/       # Route pages
│   │   │   ├── queries/     # TanStack Query
│   │   │   └── stores/      # Zustand state
│   │   ├── e2e/             # Playwright E2E tests (47)
│   │   ├── tests/           # Vitest unit tests (59)
│   │   └── package.json      # npm dependencies
│   ├── docker-compose.yml     # Development (3 services)
│   └── docker-compose.prod.yml # Production (6 services)
├── scripts/                   # Production scripts
│   ├── install-production.sh  # Automated setup
│   ├── deploy.sh             # Zero-downtime deploy
│   ├── backup-database.sh    # 3-2-1 backup strategy
│   └── restore-database.sh   # Disaster recovery
├── Docs/                      # 31 documentation files
├── PRPs/                      # Planning & Requirements Prompts
├── CLAUDE.md                  # AI assistant guidance
├── PLANNING.md                # Project roadmap
└── TASK.md                    # Task tracking

📚 Documentation

📖 Complete Technical Guide

w7-WHv1/README.md - Comprehensive 800+ line technical documentation

  • Configuration (22 environment variables)
  • Production Deployment (4 scripts, zero-downtime workflow)
  • Monitoring & Observability (20+ Prometheus metrics, logging, rate limiting)
  • Troubleshooting (6 common issues with solutions)
  • Full API Reference (30+ endpoints)
  • Development workflows (backend + frontend)

📑 Phase Documentation (31 Guides)

Getting Started

Phase 1-4 - Backend Foundation

Phase 5 - Frontend (React 19)

Phase 6 - Production Ready

Phase 7 - UX Enhancement & Quality Validation

Phase 8 - Data Management

🤝 Contributing

This repository is designed for both human and AI collaboration.

Development Workflow

  1. Create feature branch from main
  2. Implement changes with tests (279 tests must pass)
  3. Run linting: ruff check . (backend), npm run lint (frontend)
  4. Submit PR (3-job CI must pass: backend, frontend, E2E)

Git Conventions

  • Branch naming: ##-Description-Phase_# (e.g., 07-MANUALTesting-Phase_7)
  • Commit messages: Conventional Commits with 🤖 Generated with Claude Code footer
  • PR template: Auto-generated checklist

Testing Requirements

  • Backend: pytest coverage >80%
  • Frontend: Vitest unit tests + Playwright E2E
  • All 279 tests must pass before merge

📘 See w7-WHv1/README.md for detailed guidelines

Agent Governance

📄 License

Proprietary - All rights reserved.

🔗 Quick Links

Last Updated: 2026-01-06 | Status: Phase 8 - Data Management (Complete) | Version: 1.0.0 (Production Ready)

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A comprehensive web-based warehouse management system (WMS) designed for pallet racking warehouses with support for food products requiring strict date tracking and FEFO (First Expired, First Out) inventory management.

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