docs: Revamp README and UI documentation; enhance CLI usage instructions and API configuration details
This commit is contained in:
254
README.md
254
README.md
@@ -24,17 +24,60 @@ A cutting-edge WiFi-based human pose estimation system that leverages Channel St
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## 📋 Table of Contents
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1. [System Architecture](#system-architecture)
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2. [Installation](#installation)
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3. [Quick Start](#quick-start)
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4. [Documentation](#documentation)
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5. [Hardware Setup](#hardware-setup)
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6. [Configuration](#configuration)
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7. [Testing](#testing)
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8. [Deployment](#deployment)
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9. [Performance Metrics](#performance-metrics)
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10. [Contributing](#contributing)
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11. [License](#license)
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1. [🚀 Key Features](#-key-features)
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2. [🏗️ System Architecture](#️-system-architecture)
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- [Core Components](#core-components)
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3. [📦 Installation](#-installation)
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- [Using pip (Recommended)](#using-pip-recommended)
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- [From Source](#from-source)
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- [Using Docker](#using-docker)
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- [System Requirements](#system-requirements)
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4. [🚀 Quick Start](#-quick-start)
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- [Basic Setup](#1-basic-setup)
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- [Start the System](#2-start-the-system)
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- [Using the REST API](#3-using-the-rest-api)
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- [Real-time Streaming](#4-real-time-streaming)
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5. [🖥️ CLI Usage](#️-cli-usage)
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- [Installation](#cli-installation)
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- [Basic Commands](#basic-commands)
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- [Configuration Commands](#configuration-commands)
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- [Monitoring Commands](#monitoring-commands)
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- [Examples](#cli-examples)
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6. [📚 Documentation](#-documentation)
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- [Core Documentation](#-core-documentation)
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- [Quick Links](#-quick-links)
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- [API Overview](#-api-overview)
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7. [🔧 Hardware Setup](#-hardware-setup)
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- [Supported Hardware](#supported-hardware)
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- [Physical Setup](#physical-setup)
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- [Network Configuration](#network-configuration)
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- [Environment Calibration](#environment-calibration)
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8. [⚙️ Configuration](#️-configuration)
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- [Environment Variables](#environment-variables)
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- [Domain-Specific Configurations](#domain-specific-configurations)
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- [Advanced Configuration](#advanced-configuration)
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9. [🧪 Testing](#-testing)
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- [Running Tests](#running-tests)
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- [Test Categories](#test-categories)
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- [Mock Testing](#mock-testing)
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- [Continuous Integration](#continuous-integration)
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10. [🚀 Deployment](#-deployment)
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- [Production Deployment](#production-deployment)
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- [Infrastructure as Code](#infrastructure-as-code)
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- [Monitoring and Logging](#monitoring-and-logging)
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11. [📊 Performance Metrics](#-performance-metrics)
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- [Benchmark Results](#benchmark-results)
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- [Performance Optimization](#performance-optimization)
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- [Load Testing](#load-testing)
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12. [🤝 Contributing](#-contributing)
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- [Development Setup](#development-setup)
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- [Code Standards](#code-standards)
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- [Contribution Process](#contribution-process)
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- [Code Review Checklist](#code-review-checklist)
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- [Issue Templates](#issue-templates)
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13. [📄 License](#-license)
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14. [🙏 Acknowledgments](#-acknowledgments)
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15. [📞 Support](#-support)
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## 🏗️ System Architecture
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@@ -199,6 +242,195 @@ async def stream_poses():
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asyncio.run(stream_poses())
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```
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## 🖥️ CLI Usage
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WiFi DensePose provides a comprehensive command-line interface for easy system management, configuration, and monitoring.
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### CLI Installation
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The CLI is automatically installed with the package:
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```bash
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# Install WiFi DensePose with CLI
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pip install wifi-densepose
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# Verify CLI installation
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wifi-densepose --version
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```
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### Basic Commands
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#### Start/Stop System
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```bash
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# Start the WiFi DensePose system
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wifi-densepose start
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# Start with custom configuration
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wifi-densepose start --config /path/to/config.yaml
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# Start in development mode
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wifi-densepose start --dev
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# Stop the system
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wifi-densepose stop
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# Restart the system
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wifi-densepose restart
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```
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#### System Status
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```bash
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# Check system status
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wifi-densepose status
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# Get detailed health information
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wifi-densepose health
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# Show system information
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wifi-densepose info
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```
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#### Pose Data Operations
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```bash
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# Get latest pose data
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wifi-densepose pose latest
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# Get pose history
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wifi-densepose pose history --hours 24
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# Stream pose data to console
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wifi-densepose pose stream
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# Export pose data
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wifi-densepose pose export --format json --output poses.json
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```
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### Configuration Commands
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#### Environment Setup
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```bash
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# Initialize configuration
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wifi-densepose init
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# Create configuration from template
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wifi-densepose config create --template healthcare
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# Validate configuration
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wifi-densepose config validate
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# Show current configuration
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wifi-densepose config show
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```
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#### Hardware Configuration
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```bash
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# List available WiFi interfaces
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wifi-densepose hardware list-interfaces
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# Test hardware connectivity
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wifi-densepose hardware test
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# Calibrate environment
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wifi-densepose calibrate --duration 10 --environment room_001
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# Show hardware status
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wifi-densepose hardware status
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```
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### Monitoring Commands
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#### Real-time Monitoring
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```bash
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# Monitor system performance
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wifi-densepose monitor
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# Monitor pose detection in real-time
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wifi-densepose monitor poses
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# Monitor system logs
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wifi-densepose logs --follow
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# Monitor specific component
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wifi-densepose monitor --component csi_processor
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```
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#### Analytics and Reports
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```bash
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# Generate analytics report
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wifi-densepose analytics report --period 24h
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# Show fall detection events
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wifi-densepose analytics falls --since yesterday
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# Export system metrics
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wifi-densepose metrics export --format csv
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```
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### CLI Examples
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#### Complete Setup Workflow
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```bash
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# 1. Initialize new environment
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wifi-densepose init --environment healthcare
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# 2. Configure hardware
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wifi-densepose hardware setup --interface wlan0
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# 3. Calibrate environment
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wifi-densepose calibrate --duration 15
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# 4. Start system
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wifi-densepose start
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# 5. Monitor in real-time
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wifi-densepose monitor poses
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```
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#### Development Workflow
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```bash
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# Start in development mode with mock data
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wifi-densepose start --dev --mock-hardware
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# Run tests
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wifi-densepose test
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# Check code quality
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wifi-densepose lint
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# Generate documentation
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wifi-densepose docs generate
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```
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#### Production Deployment
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```bash
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# Deploy to production
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wifi-densepose deploy --environment production
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# Check deployment status
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wifi-densepose deploy status
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# Scale system
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wifi-densepose scale --replicas 3
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# Update system
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wifi-densepose update --version 1.2.0
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```
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#### Troubleshooting
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```bash
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# Run system diagnostics
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wifi-densepose diagnose
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# Check hardware connectivity
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wifi-densepose hardware test --verbose
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# Validate configuration
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wifi-densepose config validate --strict
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# Reset to defaults
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wifi-densepose reset --confirm
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```
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## 📚 Documentation
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Comprehensive documentation is available to help you get started and make the most of WiFi-DensePose:
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317
ui/README.md
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317
ui/README.md
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@@ -0,0 +1,317 @@
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# WiFi DensePose UI
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A modular, modern web interface for the WiFi DensePose human tracking system. This UI provides real-time monitoring, configuration, and visualization of WiFi-based pose estimation.
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## 🏗️ Architecture
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The UI follows a modular architecture with clear separation of concerns:
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```
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ui/
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├── app.js # Main application entry point
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├── index.html # Updated HTML with modular structure
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├── style.css # Complete CSS with additional styles
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├── config/ # Configuration modules
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│ └── api.config.js # API endpoints and configuration
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├── services/ # Service layer for API communication
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│ ├── api.service.js # HTTP API client
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│ ├── websocket.service.js # WebSocket client
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│ ├── pose.service.js # Pose estimation API wrapper
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│ ├── health.service.js # Health monitoring API wrapper
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│ └── stream.service.js # Streaming API wrapper
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├── components/ # UI components
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│ ├── TabManager.js # Tab navigation component
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│ ├── DashboardTab.js # Dashboard component with live data
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│ ├── HardwareTab.js # Hardware configuration component
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│ └── LiveDemoTab.js # Live demo with streaming
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├── utils/ # Utility functions and helpers
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│ └── mock-server.js # Mock server for testing
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└── tests/ # Comprehensive test suite
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├── test-runner.html # Test runner UI
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├── test-runner.js # Test framework and cases
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└── integration-test.html # Integration testing page
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```
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## 🚀 Features
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### Real-time Dashboard
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- Live system health monitoring
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- Real-time pose detection statistics
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- Zone occupancy tracking
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- System metrics (CPU, memory, disk)
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- API status indicators
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### Hardware Configuration
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- Interactive antenna array visualization
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- Real-time CSI data display
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- Configuration panels
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- Hardware status monitoring
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### Live Demo
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- WebSocket-based real-time streaming
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- Signal visualization
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- Pose detection visualization
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- Interactive controls
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### API Integration
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- Complete REST API coverage
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- WebSocket streaming support
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- Authentication handling
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- Error management
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- Request/response interceptors
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## 📋 API Coverage
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The UI integrates with all WiFi DensePose API endpoints:
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### Health Endpoints
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- `GET /health/health` - System health check
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- `GET /health/ready` - Readiness check
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- `GET /health/live` - Liveness check
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- `GET /health/metrics` - System metrics
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- `GET /health/version` - Version information
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### Pose Estimation
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- `GET /api/v1/pose/current` - Current pose data
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- `POST /api/v1/pose/analyze` - Trigger analysis
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- `GET /api/v1/pose/zones/{zone_id}/occupancy` - Zone occupancy
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- `GET /api/v1/pose/zones/summary` - All zones summary
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- `POST /api/v1/pose/historical` - Historical data
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- `GET /api/v1/pose/activities` - Recent activities
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- `POST /api/v1/pose/calibrate` - System calibration
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- `GET /api/v1/pose/stats` - Statistics
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### Streaming
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- `WS /api/v1/stream/pose` - Real-time pose stream
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- `WS /api/v1/stream/events` - Event stream
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- `GET /api/v1/stream/status` - Stream status
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- `POST /api/v1/stream/start` - Start streaming
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- `POST /api/v1/stream/stop` - Stop streaming
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- `GET /api/v1/stream/clients` - Connected clients
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- `DELETE /api/v1/stream/clients/{client_id}` - Disconnect client
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## 🧪 Testing
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### Test Runner
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Open `tests/test-runner.html` to run the complete test suite:
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```bash
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# Serve the UI directory on port 3000 (to avoid conflicts with FastAPI on 8000)
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cd /workspaces/wifi-densepose/ui
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python -m http.server 3000
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# Open http://localhost:3000/tests/test-runner.html
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```
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### Test Categories
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- **API Configuration Tests** - Configuration and URL building
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- **API Service Tests** - HTTP client functionality
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- **WebSocket Service Tests** - WebSocket connection management
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- **Pose Service Tests** - Pose estimation API wrapper
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- **Health Service Tests** - Health monitoring functionality
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- **UI Component Tests** - Component behavior and interaction
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- **Integration Tests** - End-to-end functionality
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### Integration Testing
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Use `tests/integration-test.html` for visual integration testing:
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```bash
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# Open http://localhost:3000/tests/integration-test.html
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```
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Features:
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- Mock server with realistic API responses
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- Visual testing of all components
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- Real-time data simulation
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- Error scenario testing
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- WebSocket stream testing
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## 🛠️ Usage
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### Basic Setup
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```html
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<!DOCTYPE html>
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<html>
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<head>
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<link rel="stylesheet" href="style.css">
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</head>
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<body>
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<div class="container">
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<!-- Your content -->
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</div>
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<script type="module" src="app.js"></script>
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</body>
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</html>
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```
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### Using Services
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```javascript
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import { poseService } from './services/pose.service.js';
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import { healthService } from './services/health.service.js';
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// Get current pose data
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const poseData = await poseService.getCurrentPose();
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// Subscribe to health updates
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healthService.subscribeToHealth(health => {
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console.log('Health status:', health.status);
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});
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// Start pose streaming
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poseService.startPoseStream({
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minConfidence: 0.7,
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maxFps: 30
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});
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poseService.subscribeToPoseUpdates(update => {
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if (update.type === 'pose_update') {
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console.log('New pose data:', update.data);
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}
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});
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```
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### Using Components
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```javascript
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import { TabManager } from './components/TabManager.js';
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import { DashboardTab } from './components/DashboardTab.js';
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// Initialize tab manager
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const container = document.querySelector('.container');
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const tabManager = new TabManager(container);
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tabManager.init();
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// Initialize dashboard
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const dashboardContainer = document.getElementById('dashboard');
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const dashboard = new DashboardTab(dashboardContainer);
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await dashboard.init();
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```
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## 🔧 Configuration
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### API Configuration
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Edit `config/api.config.js` to modify API settings:
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```javascript
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export const API_CONFIG = {
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BASE_URL: window.location.origin,
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API_VERSION: '/api/v1',
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// Rate limiting
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RATE_LIMITS: {
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REQUESTS_PER_MINUTE: 60,
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BURST_LIMIT: 10
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},
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// WebSocket configuration
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WS_CONFIG: {
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RECONNECT_DELAY: 5000,
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MAX_RECONNECT_ATTEMPTS: 5,
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PING_INTERVAL: 30000
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}
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};
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```
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### Authentication
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```javascript
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import { apiService } from './services/api.service.js';
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// Set authentication token
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apiService.setAuthToken('your-jwt-token');
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// Add request interceptor for auth
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apiService.addRequestInterceptor((url, options) => {
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// Modify request before sending
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return { url, options };
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});
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```
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## 🎨 Styling
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||||
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The UI uses a comprehensive CSS design system with:
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- CSS Custom Properties for theming
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- Dark/light mode support
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- Responsive design
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- Component-based styling
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- Smooth animations and transitions
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### Key CSS Variables
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```css
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:root {
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--color-primary: rgba(33, 128, 141, 1);
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--color-background: rgba(252, 252, 249, 1);
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--color-surface: rgba(255, 255, 253, 1);
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--color-text: rgba(19, 52, 59, 1);
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--space-16: 16px;
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--radius-lg: 12px;
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}
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```
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## 🔍 Monitoring & Debugging
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||||
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### Health Monitoring
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||||
```javascript
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import { healthService } from './services/health.service.js';
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// Start automatic health checks
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healthService.startHealthMonitoring(30000); // Every 30 seconds
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// Check if system is healthy
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const isHealthy = healthService.isSystemHealthy();
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// Get specific component status
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const apiStatus = healthService.getComponentStatus('api');
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```
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||||
### Error Handling
|
||||
```javascript
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// Global error handling
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||||
window.addEventListener('error', (event) => {
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console.error('Global error:', event.error);
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||||
});
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||||
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||||
// API error handling
|
||||
apiService.addResponseInterceptor(async (response, url) => {
|
||||
if (!response.ok) {
|
||||
console.error(`API error: ${response.status} for ${url}`);
|
||||
}
|
||||
return response;
|
||||
});
|
||||
```
|
||||
|
||||
## 🚀 Deployment
|
||||
|
||||
### Development
|
||||
```bash
|
||||
# First, start your FastAPI backend (runs on port 8000)
|
||||
wifi-densepose start
|
||||
# or from the main project directory:
|
||||
python -m wifi_densepose.main
|
||||
|
||||
# Then, start the UI server on a different port to avoid conflicts
|
||||
cd /workspaces/wifi-densepose/ui
|
||||
python -m http.server 3000
|
||||
# or
|
||||
npx http-server . -p 3000
|
||||
|
||||
# Open the UI at http://localhost:3000
|
||||
# The UI will connect to the FastAPI backend at http://localhost:8000
|
||||
```
|
||||
|
||||
### Production
|
||||
1. Configure `API_CONFIG.BASE_URL` for your backend
|
||||
2. Set up HTTPS for WebSocket connections
|
||||
3. Configure authentication if required
|
||||
4. Optimize assets (minify CSS/JS)
|
||||
5. Set up monitoring and logging
|
||||
|
||||
## 🤝 Contributing
|
||||
|
||||
1. Follow the modular architecture
|
||||
2. Add tests for new functionality
|
||||
3. Update documentation
|
||||
4. Ensure TypeScript compatibility
|
||||
5. Test with mock server
|
||||
|
||||
## 📄 License
|
||||
|
||||
This project is part of the WiFi-DensePose system. See the main project LICENSE file for details.
|
||||
@@ -1,7 +1,7 @@
|
||||
// API Configuration for WiFi-DensePose UI
|
||||
|
||||
export const API_CONFIG = {
|
||||
BASE_URL: window.location.origin,
|
||||
BASE_URL: 'http://localhost:8000', // FastAPI backend port
|
||||
API_VERSION: '/api/v1',
|
||||
WS_PREFIX: 'ws://',
|
||||
WSS_PREFIX: 'wss://',
|
||||
@@ -105,7 +105,8 @@ export function buildWsUrl(endpoint, params = {}) {
|
||||
? API_CONFIG.WSS_PREFIX
|
||||
: API_CONFIG.WS_PREFIX;
|
||||
|
||||
const host = window.location.host;
|
||||
// Use localhost:8000 for WebSocket connections to match FastAPI backend
|
||||
const host = 'localhost:8000';
|
||||
let url = `${protocol}${host}${endpoint}`;
|
||||
|
||||
// Add query parameters
|
||||
|
||||
39
ui/start-ui.sh
Executable file
39
ui/start-ui.sh
Executable file
@@ -0,0 +1,39 @@
|
||||
#!/bin/bash
|
||||
|
||||
# WiFi DensePose UI Startup Script
|
||||
# This script starts the UI on port 3000 to avoid conflicts with the FastAPI backend on port 8000
|
||||
|
||||
echo "🚀 Starting WiFi DensePose UI..."
|
||||
echo ""
|
||||
echo "📋 Configuration:"
|
||||
echo " - UI Server: http://localhost:3000"
|
||||
echo " - Backend API: http://localhost:8000 (make sure it's running)"
|
||||
echo " - Test Runner: http://localhost:3000/tests/test-runner.html"
|
||||
echo " - Integration Tests: http://localhost:3000/tests/integration-test.html"
|
||||
echo ""
|
||||
|
||||
# Check if port 3000 is already in use
|
||||
if lsof -Pi :3000 -sTCP:LISTEN -t >/dev/null ; then
|
||||
echo "⚠️ Port 3000 is already in use. Please stop the existing server or use a different port."
|
||||
echo " You can manually start with: python -m http.server 3001"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# Check if FastAPI backend is running on port 8000
|
||||
if lsof -Pi :8000 -sTCP:LISTEN -t >/dev/null ; then
|
||||
echo "✅ FastAPI backend detected on port 8000"
|
||||
else
|
||||
echo "⚠️ FastAPI backend not detected on port 8000"
|
||||
echo " Please start it with: wifi-densepose start"
|
||||
echo " Or: python -m wifi_densepose.main"
|
||||
echo ""
|
||||
echo " The UI will still work with the mock server for testing."
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "🌐 Starting HTTP server on port 3000..."
|
||||
echo " Press Ctrl+C to stop"
|
||||
echo ""
|
||||
|
||||
# Start the HTTP server
|
||||
python -m http.server 3000
|
||||
Reference in New Issue
Block a user