# DD3 MQTT Data Republisher - GUI Version

User-friendly graphical interface for recovering lost meter data from SD card CSV files and republishing to MQTT.

## Installation

```bash
# Install dependencies (same as CLI version)
pip install -r requirements_republish.txt
```

## Usage

### Launch the GUI

```bash
# Windows
python republish_mqtt_gui.py

# macOS/Linux
python3 republish_mqtt_gui.py
```

## Interface Overview

### Settings Tab
Configure MQTT connection and data source:
- **CSV File**: Browse and select the CSV file from your SD card
- **Device ID**: Device identifier (e.g., `dd3-F19C`)
- **MQTT Settings**: Broker address, port, username/password
- **Publish Rate**: Messages per second (1-100, default: 5)
- **Test Connection**: Verify MQTT broker is reachable

### Time Range Tab
Choose how to select the time range to republish:

#### Manual Mode (Always Available)
- Enter start and end dates/times
- Example: Start `2026-03-01` at `00:00:00`, End `2026-03-05` at `23:59:59`
- Useful when you know exactly what data is missing

#### Auto-Detect Mode (Requires InfluxDB)
- Automatically finds gaps in your InfluxDB data
- Connect to your InfluxDB instance
- Script will identify the oldest missing data range
- Republish that range automatically

### Progress Tab
Real-time status during publishing:
- **Progress Bar**: Visual indication of publishing status
- **Statistics**: Count of published/skipped samples, current rate
- **Log Output**: Detailed logging of all actions

## Step-by-step Example

1. **Prepare CSV File**
   - Extract CSV file from SD card
   - Example path: `D:\dd3-F19C\2026-03-09.csv`

2. **Launch GUI**
   ```bash
   python republish_mqtt_gui.py
   ```

3. **Settings Tab**
   - Click "Browse..." and select the CSV file
   - Enter Device ID: `dd3-F19C`
   - MQTT Broker: `192.168.1.100` (or your broker address)
   - Test connection to verify MQTT is working

4. **Time Range Tab**
   - **Manual Mode**: Enter dates you want to republish
     - Start: `2026-03-09` / `08:00:00`
     - End: `2026-03-09` / `18:00:00`
   - **Or Auto-Detect**: Fill InfluxDB settings if available

5. **Progress Tab**
   - View real-time publishing progress
   - Watch the log for detailed status

6. **Start**
   - Click "Start Publishing" button
   - Monitor progress in real-time
   - Success message when complete

## Tips

### CSV File Location
On Windows with SD card reader:
- Drive letter shows up (e.g., `D:\`)
- Path is usually: `D:\dd3\[DEVICE-ID]\[DATE].csv`

On Linux with SD card:
- Example: `/mnt/sd/dd3/dd3-F19C/2026-03-09.csv`

### Finding Device ID
- Displayed on device's OLED screen
- Also in CSV directory names on SD card
- Format: `dd3-XXXX` where XXXX is hex device short ID

### Rate Limiting
- **Conservative** (1-2 msg/sec): For unreliable networks or busy brokers
- **Default** (5 msg/sec): Recommended, safe for most setups
- **Fast** (10+ msg/sec): Only if you know your broker can handle it

### InfluxDB Auto-Detect
Requires:
- InfluxDB running and accessible
- Valid API token
- Correct organization and bucket names
- Data already stored in InfluxDB bucket

If InfluxDB unavailable: Fall back to manual time selection

## Troubleshooting

### "Could not connect to MQTT broker"
- Check broker address and port
- Verify firewall allows connection
- Check if broker is running
- Try "Test Connection" button

### "CSV file not found"
- Verify file path is correct
- Try re-selecting file with Browse button
- Ensure file is readable

### "0 samples published"
- Time range may not match CSV data
- Try wider time range
- Check CSV file contains data
- Verify timestamps are Unix format

### "InfluxDB connection error"
- Check InfluxDB URL is running
- Verify API token is valid
- Check organization and bucket name
- Try accessing InfluxDB web UI manually

### GUI is slow or unresponsive
- This is normal during MQTT publishing
- GUI updates in background
- Wait for operation to complete
- Check Progress tab for live updates

## Keyboard Shortcuts
- Tab: Move to next field
- Enter: Start publishing from most tabs
- Ctrl+C: Exit (if launched from terminal)

## File Structure

```
republish_mqtt.py          → Command-line version
republish_mqtt_gui.py      → GUI version (this)
requirements_republish.txt → Python dependencies
REPUBLISH_README.md        → Full documentation
```

Use the **GUI** if you prefer point-and-click interface.
Use the **CLI** if you want to automate or run in scripts.

## Platform Support

✓ **Windows 10/11** - Native support
✓ **macOS** - Works with Python 3.7+
✓ **Linux** (Ubuntu, Debian, Fedora) - Works with Python 3.7+

All platforms use tkinter (included with Python).

## Performance

Typical times on a standard PC:
- 1 day of data (~2800 samples): ~9-10 minutes at 5 msg/sec
- 1 week of data (~19,600 samples): ~65 minutes at 5 msg/sec

Time = (Number of Samples) / (Rate in msg/sec)

## License

Same as DD3 project