Chore: rename api->camera-management-api and web->management-dashboard-web-app; update compose, ignore, README references

2025-08-07 22:07:25 -04:00
parent 28dab3a366
commit fc2da16728
281 changed files with 19 additions and 19 deletions
--- a/camera-management-api/README.md
+++ b/camera-management-api/README.md
@@ -0,0 +1,870 @@
+# USDA Vision Camera System
+
+A comprehensive system for monitoring machines via MQTT and automatically recording video from GigE cameras when machines are active. Designed for Atlanta, Georgia operations with proper timezone synchronization.
+
+## 🎯 Overview
+
+This system integrates MQTT machine monitoring with automated video recording from GigE cameras. When a machine turns on (detected via MQTT), the system automatically starts recording from the associated camera. When the machine turns off, recording stops and the video is saved with an Atlanta timezone timestamp.
+
+### Key Features
+
+- **🔄 MQTT Integration**: Listens to multiple machine state topics
+- **📹 Automatic Recording**: Starts/stops recording based on machine states  
+- **📷 GigE Camera Support**: Uses camera SDK library (mvsdk) for camera control
+- **⚡ Multi-threading**: Concurrent MQTT listening, camera monitoring, and recording
+- **🌐 REST API**: FastAPI server for dashboard integration
+- **📡 WebSocket Support**: Real-time status updates
+- **💾 Storage Management**: Organized file storage with cleanup capabilities
+- **📝 Comprehensive Logging**: Detailed logging with rotation and error tracking
+- **⚙️ Configuration Management**: JSON-based configuration system
+- **🕐 Timezone Sync**: Proper time synchronization for Atlanta, Georgia
+
+## 📁 Project Structure
+
+```
+USDA-Vision-Cameras/
+├── README.md                    # Main documentation (this file)
+├── main.py                      # System entry point
+├── config.json                  # System configuration
+├── requirements.txt             # Python dependencies
+├── pyproject.toml              # UV package configuration
+├── start_system.sh             # Startup script
+├── setup_timezone.sh           # Time sync setup
+├── camera_preview.html         # Web camera preview interface
+├── usda_vision_system/         # Main application
+│   ├── core/                   # Core functionality
+│   ├── mqtt/                   # MQTT integration
+│   ├── camera/                 # Camera management
+│   ├── storage/                # File management
+│   ├── api/                    # REST API server
+│   └── main.py                 # Application coordinator
+├── camera_sdk/                 # GigE camera SDK library
+├── tests/                      # Organized test files
+│   ├── api/                    # API-related tests
+│   ├── camera/                 # Camera functionality tests
+│   ├── core/                   # Core system tests
+│   ├── mqtt/                   # MQTT integration tests
+│   ├── recording/              # Recording feature tests
+│   ├── storage/                # Storage management tests
+│   ├── integration/            # System integration tests
+│   └── legacy_tests/          # Archived development files
+├── docs/                       # Organized documentation
+│   ├── api/                    # API documentation
+│   ├── features/               # Feature-specific guides
+│   ├── guides/                 # User and setup guides
+│   └── legacy/                 # Legacy documentation
+├── ai_agent/                   # AI agent resources
+│   ├── guides/                 # AI-specific instructions
+│   ├── examples/               # Demo scripts and notebooks
+│   └── references/             # API references and types
+├── Camera/                     # Camera data directory
+└── storage/                    # Recording storage (created at runtime)
+    ├── camera1/               # Camera 1 recordings
+    └── camera2/               # Camera 2 recordings
+```
+
+## 🏗️ Architecture
+
+```
+┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
+│   MQTT Broker   │    │   GigE Camera   │    │   Dashboard     │
+│                 │    │                 │    │   (React)       │
+└─────────┬───────┘    └─────────┬───────┘    └─────────┬───────┘
+          │                      │                      │
+          │ Machine States       │ Video Streams        │ API Calls
+          │                      │                      │
+┌─────────▼──────────────────────▼──────────────────────▼───────┐
+│                USDA Vision Camera System                      │
+├───────────────────────────────────────────────────────────────┤
+│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐           │
+│  │ MQTT Client │  │   Camera    │  │ API Server  │           │
+│  │             │  │  Manager    │  │             │           │
+│  └─────────────┘  └─────────────┘  └─────────────┘           │
+│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐           │
+│  │   State     │  │   Storage   │  │   Event     │           │
+│  │  Manager    │  │  Manager    │  │  System     │           │
+│  └─────────────┘  └─────────────┘  └─────────────┘           │
+└───────────────────────────────────────────────────────────────┘
+```
+
+## 📋 Prerequisites
+
+### Hardware Requirements
+- GigE cameras compatible with camera SDK library
+- Network connection to MQTT broker
+- Sufficient storage space for video recordings
+
+### Software Requirements
+- **Python 3.11+**
+- **uv package manager** (recommended) or pip
+- **MQTT broker** (e.g., Mosquitto, Home Assistant)
+- **Linux system** (tested on Ubuntu/Debian)
+
+### Network Requirements
+- Access to MQTT broker
+- GigE cameras on network
+- Internet access for time synchronization (optional but recommended)
+
+## 🚀 Installation
+
+### 1. Clone the Repository
+```bash
+git clone https://github.com/your-username/USDA-Vision-Cameras.git
+cd USDA-Vision-Cameras
+```
+
+### 2. Install Dependencies
+Using uv (recommended):
+```bash
+# Install uv if not already installed
+curl -LsSf https://astral.sh/uv/install.sh | sh
+
+# Install dependencies
+uv sync
+```
+
+Using pip:
+```bash
+# Create virtual environment
+python -m venv .venv
+source .venv/bin/activate  # On Windows: .venv\Scripts\activate
+
+# Install dependencies
+pip install -r requirements.txt
+```
+
+### 3. Setup GigE Camera Library
+Ensure the `camera_sdk` directory contains the mvsdk library for your GigE cameras. This should include:
+- `mvsdk.py` - Python SDK wrapper
+- Camera driver libraries
+- Any camera-specific configuration files
+
+### 4. Configure Storage Directory
+```bash
+# Create storage directory (adjust path as needed)
+mkdir -p ./storage
+# Or for system-wide storage:
+# sudo mkdir -p /storage && sudo chown $USER:$USER /storage
+```
+
+### 5. Setup Time Synchronization (Recommended)
+```bash
+# Run timezone setup for Atlanta, Georgia
+./setup_timezone.sh
+```
+
+### 6. Configure the System
+Edit `config.json` to match your setup:
+```json
+{
+  "mqtt": {
+    "broker_host": "192.168.1.110",
+    "broker_port": 1883,
+    "topics": {
+      "machine1": "vision/machine1/state",
+      "machine2": "vision/machine2/state"
+    }
+  },
+  "cameras": [
+    {
+      "name": "camera1",
+      "machine_topic": "machine1",
+      "storage_path": "./storage/camera1",
+      "enabled": true
+    }
+  ]
+}
+```
+
+## 🔧 Configuration
+
+### MQTT Configuration
+```json
+{
+  "mqtt": {
+    "broker_host": "192.168.1.110",
+    "broker_port": 1883,
+    "username": null,
+    "password": null,
+    "topics": {
+      "vibratory_conveyor": "vision/vibratory_conveyor/state",
+      "blower_separator": "vision/blower_separator/state"
+    }
+  }
+}
+```
+
+### Camera Configuration
+```json
+{
+  "cameras": [
+    {
+      "name": "camera1",
+      "machine_topic": "vibratory_conveyor",
+      "storage_path": "./storage/camera1",
+      "exposure_ms": 1.0,
+      "gain": 3.5,
+      "target_fps": 3.0,
+      "enabled": true
+    }
+  ]
+}
+```
+
+### System Configuration
+```json
+{
+  "system": {
+    "camera_check_interval_seconds": 2,
+    "log_level": "INFO",
+    "api_host": "0.0.0.0",
+    "api_port": 8000,
+    "enable_api": true,
+    "timezone": "America/New_York"
+  }
+}
+```
+
+## 🎮 Usage
+
+### Quick Start
+```bash
+# Test the system
+python test_system.py
+
+# Start the system
+python main.py
+
+# Or use the startup script
+./start_system.sh
+```
+
+### Command Line Options
+```bash
+# Custom configuration file
+python main.py --config my_config.json
+
+# Debug mode
+python main.py --log-level DEBUG
+
+# Help
+python main.py --help
+```
+
+### Verify Installation
+```bash
+# Run system tests
+python test_system.py
+
+# Check time synchronization
+python check_time.py
+
+# Test timezone functions
+python test_timezone.py
+```
+
+## 🌐 API Usage
+
+The system provides a comprehensive REST API for monitoring and control.
+
+> **📚 Complete API Documentation**: See [docs/API_DOCUMENTATION.md](docs/API_DOCUMENTATION.md) for the full API reference including all endpoints, request/response models, examples, and recent enhancements.
+>
+> **⚡ Quick Reference**: See [docs/API_QUICK_REFERENCE.md](docs/API_QUICK_REFERENCE.md) for commonly used endpoints with curl examples.
+
+### Starting the API Server
+The API server starts automatically with the main system on port 8000:
+```bash
+python main.py
+# API available at: http://localhost:8000
+```
+
+### 🚀 New API Features
+
+#### Enhanced Recording Control
+- **Dynamic camera settings**: Set exposure, gain, FPS per recording
+- **Automatic datetime prefixes**: All filenames get timestamp prefixes
+- **Auto-recording management**: Enable/disable per camera via API
+
+#### Advanced Camera Configuration
+- **Real-time settings**: Update image quality without restart
+- **Live streaming**: MJPEG streams for web integration
+- **Recovery operations**: Reconnect, reset, reinitialize cameras
+
+#### Comprehensive Monitoring
+- **MQTT event history**: Track machine state changes
+- **Storage statistics**: Monitor disk usage and file counts
+- **WebSocket updates**: Real-time system notifications
+
+### Core Endpoints
+
+#### System Status
+```bash
+# Get overall system status
+curl http://localhost:8000/system/status
+
+# Response example:
+{
+  "system_started": true,
+  "mqtt_connected": true,
+  "machines": {
+    "vibratory_conveyor": {"state": "on", "last_updated": "2025-07-25T21:30:00-04:00"}
+  },
+  "cameras": {
+    "camera1": {"status": "available", "is_recording": true}
+  },
+  "active_recordings": 1,
+  "uptime_seconds": 3600
+}
+```
+
+#### Machine Status
+```bash
+# Get all machine states
+curl http://localhost:8000/machines
+
+# Response example:
+{
+  "vibratory_conveyor": {
+    "name": "vibratory_conveyor",
+    "state": "on",
+    "last_updated": "2025-07-25T21:30:00-04:00",
+    "mqtt_topic": "vision/vibratory_conveyor/state"
+  }
+}
+```
+
+#### Camera Status
+```bash
+# Get all camera statuses
+curl http://localhost:8000/cameras
+
+# Get specific camera status
+curl http://localhost:8000/cameras/camera1
+
+# Response example:
+{
+  "name": "camera1",
+  "status": "available",
+  "is_recording": false,
+  "last_checked": "2025-07-25T21:30:00-04:00",
+  "device_info": {
+    "friendly_name": "Blower-Yield-Cam",
+    "serial_number": "054012620023"
+  }
+}
+```
+
+#### Manual Recording Control
+```bash
+# Start recording manually
+curl -X POST http://localhost:8000/cameras/camera1/start-recording \
+  -H "Content-Type: application/json" \
+  -d '{"camera_name": "camera1", "filename": "manual_test.avi"}'
+
+# Stop recording manually
+curl -X POST http://localhost:8000/cameras/camera1/stop-recording
+
+# Response example:
+{
+  "success": true,
+  "message": "Recording started for camera1",
+  "filename": "camera1_manual_20250725_213000.avi"
+}
+```
+
+#### Storage Management
+```bash
+# Get storage statistics
+curl http://localhost:8000/storage/stats
+
+# Get recording files list
+curl -X POST http://localhost:8000/storage/files \
+  -H "Content-Type: application/json" \
+  -d '{"camera_name": "camera1", "limit": 10}'
+
+# Cleanup old files
+curl -X POST http://localhost:8000/storage/cleanup \
+  -H "Content-Type: application/json" \
+  -d '{"max_age_days": 30}'
+```
+
+### WebSocket Real-time Updates
+```javascript
+// Connect to WebSocket for real-time updates
+const ws = new WebSocket('ws://localhost:8000/ws');
+
+ws.onmessage = function(event) {
+    const update = JSON.parse(event.data);
+    console.log('Real-time update:', update);
+
+    // Handle different event types
+    if (update.event_type === 'machine_state_changed') {
+        console.log(`Machine ${update.data.machine_name} is now ${update.data.state}`);
+    } else if (update.event_type === 'recording_started') {
+        console.log(`Recording started: ${update.data.filename}`);
+    }
+};
+```
+
+### Integration Examples
+
+#### Python Integration
+```python
+import requests
+import json
+
+# System status check
+response = requests.get('http://localhost:8000/system/status')
+status = response.json()
+print(f"System running: {status['system_started']}")
+
+# Start recording
+recording_data = {"camera_name": "camera1"}
+response = requests.post(
+    'http://localhost:8000/cameras/camera1/start-recording',
+    headers={'Content-Type': 'application/json'},
+    data=json.dumps(recording_data)
+)
+result = response.json()
+print(f"Recording started: {result['success']}")
+```
+
+#### JavaScript/React Integration
+```javascript
+// React hook for system status
+import { useState, useEffect } from 'react';
+
+function useSystemStatus() {
+  const [status, setStatus] = useState(null);
+
+  useEffect(() => {
+    const fetchStatus = async () => {
+      try {
+        const response = await fetch('http://localhost:8000/system/status');
+        const data = await response.json();
+        setStatus(data);
+      } catch (error) {
+        console.error('Failed to fetch status:', error);
+      }
+    };
+
+    fetchStatus();
+    const interval = setInterval(fetchStatus, 5000); // Update every 5 seconds
+
+    return () => clearInterval(interval);
+  }, []);
+
+  return status;
+}
+
+// Usage in component
+function Dashboard() {
+  const systemStatus = useSystemStatus();
+
+  return (
+    <div>
+      <h1>USDA Vision System</h1>
+      {systemStatus && (
+        <div>
+          <p>Status: {systemStatus.system_started ? 'Running' : 'Stopped'}</p>
+          <p>MQTT: {systemStatus.mqtt_connected ? 'Connected' : 'Disconnected'}</p>
+          <p>Active Recordings: {systemStatus.active_recordings}</p>
+        </div>
+      )}
+    </div>
+  );
+}
+```
+
+#### Supabase Integration
+```javascript
+// Store recording metadata in Supabase
+import { createClient } from '@supabase/supabase-js';
+
+const supabase = createClient(SUPABASE_URL, SUPABASE_ANON_KEY);
+
+// Function to sync recording data
+async function syncRecordingData() {
+  try {
+    // Get recordings from vision system
+    const response = await fetch('http://localhost:8000/storage/files', {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify({ limit: 100 })
+    });
+    const { files } = await response.json();
+
+    // Store in Supabase
+    for (const file of files) {
+      await supabase.from('recordings').upsert({
+        filename: file.filename,
+        camera_name: file.camera_name,
+        start_time: file.start_time,
+        duration_seconds: file.duration_seconds,
+        file_size_bytes: file.file_size_bytes
+      });
+    }
+  } catch (error) {
+    console.error('Sync failed:', error);
+  }
+}
+```
+
+## 📁 File Organization
+
+The system organizes recordings in a structured format:
+
+```
+storage/
+├── camera1/
+│   ├── camera1_recording_20250725_213000.avi
+│   ├── camera1_recording_20250725_214500.avi
+│   └── camera1_manual_20250725_220000.avi
+├── camera2/
+│   ├── camera2_recording_20250725_213005.avi
+│   └── camera2_recording_20250725_214505.avi
+└── file_index.json
+```
+
+### Filename Convention
+- **Format**: `{camera_name}_{type}_{YYYYMMDD_HHMMSS}.avi`
+- **Timezone**: Atlanta local time (EST/EDT)
+- **Examples**:
+  - `camera1_recording_20250725_213000.avi` - Automatic recording
+  - `camera1_manual_20250725_220000.avi` - Manual recording
+
+## 🔍 Monitoring and Logging
+
+### Log Files
+- **Main Log**: `usda_vision_system.log` (rotated automatically)
+- **Console Output**: Colored, real-time status updates
+- **Component Logs**: Separate log levels for different components
+
+### Log Levels
+```bash
+# Debug mode (verbose)
+python main.py --log-level DEBUG
+
+# Info mode (default)
+python main.py --log-level INFO
+
+# Warning mode (errors and warnings only)
+python main.py --log-level WARNING
+```
+
+### Performance Monitoring
+The system tracks:
+- Startup times
+- Recording session metrics
+- MQTT message processing rates
+- Camera status check intervals
+- API response times
+
+### Health Checks
+```bash
+# API health check
+curl http://localhost:8000/health
+
+# System status
+curl http://localhost:8000/system/status
+
+# Time synchronization
+python check_time.py
+```
+
+## 🚨 Troubleshooting
+
+### Common Issues and Solutions
+
+#### 1. Camera Not Found
+**Problem**: `Camera discovery failed` or `No cameras found`
+
+**Solutions**:
+```bash
+# Check camera connections
+ping 192.168.1.165  # Replace with your camera IP
+
+# Verify camera SDK library
+ls -la "camera_sdk/"
+# Should contain mvsdk.py and related files
+
+# Test camera discovery manually
+python -c "
+import sys; sys.path.append('./camera_sdk')
+import mvsdk
+devices = mvsdk.CameraEnumerateDevice()
+print(f'Found {len(devices)} cameras')
+for i, dev in enumerate(devices):
+    print(f'Camera {i}: {dev.GetFriendlyName()}')
+"
+
+# Check camera permissions
+sudo chmod 666 /dev/video*  # If using USB cameras
+```
+
+#### 2. MQTT Connection Failed
+**Problem**: `MQTT connection failed` or `MQTT disconnected`
+
+**Solutions**:
+```bash
+# Test MQTT broker connectivity
+ping 192.168.1.110  # Replace with your broker IP
+telnet 192.168.1.110 1883  # Test port connectivity
+
+# Test MQTT manually
+mosquitto_sub -h 192.168.1.110 -t "vision/+/state" -v
+
+# Check credentials in config.json
+{
+  "mqtt": {
+    "broker_host": "192.168.1.110",
+    "broker_port": 1883,
+    "username": "your_username",  # Add if required
+    "password": "your_password"   # Add if required
+  }
+}
+
+# Check firewall
+sudo ufw status
+sudo ufw allow 1883  # Allow MQTT port
+```
+
+#### 3. Recording Fails
+**Problem**: `Failed to start recording` or `Camera initialization failed`
+
+**Solutions**:
+```bash
+# Check storage permissions
+ls -la storage/
+chmod 755 storage/
+chmod 755 storage/camera*/
+
+# Check available disk space
+df -h storage/
+
+# Test camera initialization
+python -c "
+import sys; sys.path.append('./camera_sdk')
+import mvsdk
+devices = mvsdk.CameraEnumerateDevice()
+if devices:
+    try:
+        hCamera = mvsdk.CameraInit(devices[0], -1, -1)
+        print('Camera initialized successfully')
+        mvsdk.CameraUnInit(hCamera)
+    except Exception as e:
+        print(f'Camera init failed: {e}')
+"
+
+# Check if camera is busy
+lsof | grep video  # Check what's using cameras
+```
+
+#### 4. API Server Won't Start
+**Problem**: `Failed to start API server` or `Port already in use`
+
+**Solutions**:
+```bash
+# Check if port 8000 is in use
+netstat -tlnp | grep 8000
+lsof -i :8000
+
+# Kill process using port 8000
+sudo kill -9 $(lsof -t -i:8000)
+
+# Use different port in config.json
+{
+  "system": {
+    "api_port": 8001  # Change port
+  }
+}
+
+# Check firewall
+sudo ufw allow 8000
+```
+
+#### 5. Time Synchronization Issues
+**Problem**: `Time is NOT synchronized` or time drift warnings
+
+**Solutions**:
+```bash
+# Check time sync status
+timedatectl status
+
+# Force time sync
+sudo systemctl restart systemd-timesyncd
+sudo timedatectl set-ntp true
+
+# Manual time sync
+sudo ntpdate -s time.nist.gov
+
+# Check timezone
+timedatectl list-timezones | grep New_York
+sudo timedatectl set-timezone America/New_York
+
+# Verify with system
+python check_time.py
+```
+
+#### 6. Storage Issues
+**Problem**: `Permission denied` or `No space left on device`
+
+**Solutions**:
+```bash
+# Check disk space
+df -h
+du -sh storage/
+
+# Fix permissions
+sudo chown -R $USER:$USER storage/
+chmod -R 755 storage/
+
+# Clean up old files
+python -c "
+from usda_vision_system.storage.manager import StorageManager
+from usda_vision_system.core.config import Config
+from usda_vision_system.core.state_manager import StateManager
+config = Config()
+state_manager = StateManager()
+storage = StorageManager(config, state_manager)
+result = storage.cleanup_old_files(7)  # Clean files older than 7 days
+print(f'Cleaned {result[\"files_removed\"]} files')
+"
+```
+
+### Debug Mode
+
+Enable debug mode for detailed troubleshooting:
+```bash
+# Start with debug logging
+python main.py --log-level DEBUG
+
+# Check specific component logs
+tail -f usda_vision_system.log | grep "camera"
+tail -f usda_vision_system.log | grep "mqtt"
+tail -f usda_vision_system.log | grep "ERROR"
+```
+
+### System Health Check
+
+Run comprehensive system diagnostics:
+```bash
+# Full system test
+python test_system.py
+
+# Individual component tests
+python test_timezone.py
+python check_time.py
+
+# API health check
+curl http://localhost:8000/health
+curl http://localhost:8000/system/status
+```
+
+### Log Analysis
+
+Common log patterns to look for:
+```bash
+# MQTT connection issues
+grep "MQTT" usda_vision_system.log | grep -E "(ERROR|WARNING)"
+
+# Camera problems
+grep "camera" usda_vision_system.log | grep -E "(ERROR|failed)"
+
+# Recording issues
+grep "recording" usda_vision_system.log | grep -E "(ERROR|failed)"
+
+# Time sync problems
+grep -E "(time|sync)" usda_vision_system.log | grep -E "(ERROR|WARNING)"
+```
+
+### Getting Help
+
+If you encounter issues not covered here:
+
+1. **Check Logs**: Always start with `usda_vision_system.log`
+2. **Run Tests**: Use `python test_system.py` to identify problems
+3. **Check Configuration**: Verify `config.json` settings
+4. **Test Components**: Use individual test scripts
+5. **Check Dependencies**: Ensure all required packages are installed
+
+### Performance Optimization
+
+For better performance:
+```bash
+# Reduce camera check interval (in config.json)
+{
+  "system": {
+    "camera_check_interval_seconds": 5  # Increase from 2 to 5
+  }
+}
+
+# Optimize recording settings
+{
+  "cameras": [
+    {
+      "target_fps": 2.0,  # Reduce FPS for smaller files
+      "exposure_ms": 2.0  # Adjust exposure as needed
+    }
+  ]
+}
+
+# Enable log rotation
+{
+  "system": {
+    "log_level": "INFO"  # Reduce from DEBUG to INFO
+  }
+}
+```
+
+## 🤝 Contributing
+
+### Development Setup
+```bash
+# Clone repository
+git clone https://github.com/your-username/USDA-Vision-Cameras.git
+cd USDA-Vision-Cameras
+
+# Install development dependencies
+uv sync --dev
+
+# Run tests
+python test_system.py
+python test_timezone.py
+```
+
+### Project Structure
+```
+usda_vision_system/
+├── core/           # Core functionality (config, state, events, logging)
+├── mqtt/           # MQTT client and message handlers
+├── camera/         # Camera management, monitoring, recording
+├── storage/        # File management and organization
+├── api/            # FastAPI server and WebSocket support
+└── main.py         # Application coordinator
+```
+
+### Adding Features
+1. **New Camera Types**: Extend `camera/recorder.py`
+2. **New MQTT Topics**: Update `config.json` and `mqtt/handlers.py`
+3. **New API Endpoints**: Add to `api/server.py`
+4. **New Events**: Define in `core/events.py`
+
+## 📄 License
+
+This project is developed for USDA research purposes.
+
+## 🆘 Support
+
+For technical support:
+1. Check the troubleshooting section above
+2. Review logs in `usda_vision_system.log`
+3. Run system diagnostics with `python test_system.py`
+4. Check API health at `http://localhost:8000/health`
+
+---
+
+**System Status**: ✅ **READY FOR PRODUCTION**
+**Time Sync**: ✅ **ATLANTA, GEORGIA (EDT/EST)**
+**API Server**: ✅ **http://localhost:8000**
+**Documentation**: ✅ **COMPLETE**