Improve reliability and add data recovery tools

## Bug Fixes
- Fix integer overflow potential in history bin allocation (web_server.cpp)
  Using uint64_t for intermediate multiplication prevents overflow with different constants

- Prevent data loss during WiFi failures (main.cpp)
  Device now automatically attempts WiFi reconnection every 30 seconds when in AP mode
  Exits AP mode and resumes MQTT transmission as soon as WiFi becomes available
  Data collection and SD logging continue regardless of connectivity

## New Features
- Add standalone MQTT data republisher for lost data recovery
  - Command-line tool (republish_mqtt.py) with interactive and scripting modes
  - GUI tool (republish_mqtt_gui.py) for user-friendly recovery
  - Rate-limited publishing (5 msg/sec default, configurable 1-100)
  - Manual time range selection or auto-detect missing data via InfluxDB
  - Cross-platform support (Windows, macOS, Linux)
  - Converts SD card CSV exports back to MQTT format

## Documentation
- Add comprehensive code review (CODE_REVIEW.md)
  - 16 detailed security and quality assessments
  - Identifies critical HTTPS/auth gaps, medium-priority overflow issues
  - Confirms absence of buffer overflows and unsafe string functions
  - Grade: B+ with areas for improvement

- Add republisher documentation (REPUBLISH_README.md, REPUBLISH_GUI_README.md)
  - Installation and usage instructions
  - Example commands and scenarios
  - Troubleshooting guide
  - Performance characteristics

## Dependencies
- Add requirements_republish.txt
  - paho-mqtt>=1.6.1
  - influxdb-client>=1.18.0

## Impact
- Eliminates data loss scenario where unreliable WiFi leaves device stuck in AP mode
- Provides recovery mechanism for any historical data missed during outages
- Improves code safety with explicit overflow-resistant arithmetic
- Increases operational visibility with comprehensive code review
This commit is contained in:
2026-03-11 17:01:22 +01:00
parent ee849433c8
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# Code Review: DD3 LoRa Bridge MultiSender
**Date:** March 11, 2026
**Reviewer:** Security Analysis
**Focus:** Buffer overflows, memory issues, security risks, and bugs
---
## Executive Summary
The codebase is generally well-written with good defensive programming practices. Most critical vulnerabilities are mitigated through bounds checking and safe API usage. However, there are several issues ranging from minor to moderate severity that should be addressed.
---
## Critical Issues
### 1. ⚠️ **No HTTPS/TLS - Credentials transmitted in plaintext**
**Severity:** CRITICAL
**File:** [web_server.cpp](src/web_server.cpp)
**Issue:** The web server runs on plain HTTP (port 80) without any encryption.
- WiFi credentials, MQTT credentials, and API authentication are sent in plaintext
- All data exchanges (history, configuration, status) are unencrypted
- An attacker on the network can easily capture credentials and impersonate users
- User login credentials transmitted via HTTP Basic Auth are also vulnerable
**Impact:** Complete loss of confidentiality for all sensitive data
**Recommendation:**
- Implement HTTPS/TLS support on the ESP32 web server
- Consider at minimum disabling HTTP when HTTPS is available
- Alternatively, restrict web access to local network only with firewall rules
- Document this limitation prominently
**Code:** [web_server.cpp L580-620](src/web_server.cpp#L576) - All `server.send()` calls use HTTP
---
### 2. ⚠️ **Default weak credentials - "admin/admin"**
**Severity:** HIGH
**File:** [config.h](include/config.h#L83)
**Issue:**
```cpp
constexpr const char *WEB_AUTH_DEFAULT_USER = "admin";
constexpr const char *WEB_AUTH_DEFAULT_PASS = "admin";
```
**Impact:** Default accounts are easily guessable; most users won't change them, especially in AP mode where `WEB_AUTH_REQUIRE_AP = false` (no auth required)
**Recommendation:**
- Force users to create strong credentials during initial setup
- Generate random default credentials (or use MAC address-based credentials)
- Never store credentials in plain-text constants
- In AP mode, either enable auth or display a security warning
---
## High Priority Issues
### 3. ⚠️ **AP mode has no authentication**
**Severity:** HIGH
**File:** [config.h](include/config.h#L82), [web_server.cpp](src/web_server.cpp#L115)
**Issue:**
```cpp
constexpr bool WEB_AUTH_REQUIRE_AP = false; // AP mode has NO authentication!
```
When device acts as an access point, all endpoints can be accessed without any authentication.
**Impact:** Any device that connects to the AP can access all functionality:
- Download meter data and history
- Change WiFi/MQTT configuration
- Change web UI credentials
- Affect system behavior
**Recommendation:**
- Require authentication even in AP mode
- Or implement a time-limited "setup mode" that requires initial password setup
- Display a prominent warning on AP mode UI
---
### 4. ⚠️ **Integer overflow potential in history bin allocation**
**Severity:** MEDIUM
**File:** [web_server.cpp](src/web_server.cpp#L767)
**Code:**
```cpp
uint32_t bins = (static_cast<uint32_t>(days) * 24UL * 60UL) / res_min;
if (bins == 0 || bins > SD_HISTORY_MAX_BINS) {
// error handling...
return;
}
```
**Issue:** While bounds checks are in place, the multiplication `days * 24 * 60` uses 32-bit math after casting. Although mitigated by `SD_HISTORY_MAX_DAYS = 30` and `SD_HISTORY_MIN_RES_MIN = 1`, the order of operations could be unsafe with different constants.
**Current Safety:** The bounds check at [L776](src/web_server.cpp#L776) prevents allocation of more than 4000 bins. Max days (30) × 24 × 60 = 43,200 bins, but then divided by res_min (minimum 1), result is capped at 4000.
**Recommendation:**
- Reorder the multiplication to avoid overflow: `((days * 24) * 60) / res_min` → safer to do: `(days / res_min_in_days) * minutes_per_day` to prevent intermediate overflow
- Or explicitly check: `if (days > UINT32_MAX / (24 * 60)) { error; }`
---
### 5. ⚠️ **Potential memory leak in history processing on error**
**Severity:** MEDIUM
**File:** [web_server.cpp](src/web_server.cpp#L779)
**Code:**
```cpp
g_history.bins = new (std::nothrow) HistoryBin[bins];
if (!g_history.bins) {
g_history.error = true;
g_history.error_msg = "oom";
server.send(200, "application/json", "{\"ok\":false,\"error\":\"oom\"}");
return;
}
```
**Issue:** If a new history request is made while a previous request has error state with allocated `g_history.bins`, the `history_reset()` function properly cleans up. However, if the device loses power or crashes between allocation and cleanup, memory isn't freed (minor issue, but worth noting on embedded system).
**Mitigation:** The [history_reset()](src/web_server.cpp#L268) function properly cleans up on next use.
**Recommendation:**
- Ensure `history_reset()` is always called before allocating new bins ✅ Already done at [L781](src/web_server.cpp#L781)
---
## Medium Priority Issues
### 6. ⚠️ **String buffer size assumptions in CSV line parsing**
**Severity:** MEDIUM
**File:** [web_server.cpp](src/web_server.cpp#L298)
**Code:**
```cpp
char line[160];
size_t n = g_history.file.readBytesUntil('\n', line, sizeof(line) - 1);
line[n] = '\0';
```
**Issue:** If SD card contains a line longer than 160 bytes (minus 1 for null terminator), the function will silently truncate data and re-attempt. The CSV data format is expected to be compact, but if corrupted files exist, this could cause parsing failures.
**Mitigation:** The function gracefully handles parse failures with `if (!history_parse_line(line, ts, p)) { continue; }` and returns false on oversized fields at [L323](src/web_server.cpp#L323).
**Recommendation:**
- This is acceptable for the use case. Consider logging truncation warnings if SERIAL_DEBUG_MODE is enabled.
---
### 7. ⚠️ **CSV injection vulnerability in meter data logging**
**Severity:** MEDIUM (Low practical risk)
**File:** [sd_logger.cpp](src/sd_logger.cpp#L107)
**Code:**
```cpp
f.print(data.total_power_w, 1); // Directly prints floating point
f.print(data.energy_total_kwh, 3);
```
**Issue:** If floating-point values could be controlled by attacker, they could potentially inject CSV/formula injection attacks (e.g., `=1+1` starts formula in Excel). The power_w values are calculated from meter readings, so this has LOW practical risk.
**Impact:** Low - values come from trusted LoRa devices, not user input
**Recommendation:**
- If you want to be extra safe, sanitize by checking first character: if value starts with `=`, `+`, `@`, or `-`, prefix with single quote or space
- For now, this is acceptable given the trusted data source
---
## Low Priority Issues / Best Practice Recommendations
### 8. **Path construction could use better validation**
**Severity:** LOW
**File:** [web_server.cpp](src/web_server.cpp#L179)
**Code:**
```cpp
static bool sanitize_sd_download_path(String &path, String &error) {
// ... checks for "..", "\", "//" ...
if (!path.startsWith("/dd3/")) {
error = "prefix";
return false;
}
}
```
**Assessment:****Path traversal protection is GOOD**
- Checks for `..` (parent directory)
- Checks for `\` (backslash)
- Checks for `//` (double slashes)
- Requires `/dd3/` prefix
- Limits path length to 160 characters
The implementation is solid. No changes needed.
---
### 9. **HTML escaping is properly implemented**
**Severity:** N/A
**File:** [html_util.cpp](src/html_util.cpp)
**Assessment:****XSS protection is GOOD**
```cpp
case '&': out += "&amp;"; break;
case '<': out += "&lt;"; break;
case '>': out += "&gt;"; break;
case '"': out += "&quot;"; break;
case '\'': out += "&#39;"; break;
```
All unsafe HTML characters are properly escaped. Good defensive programming.
---
### 10. **Buffer overflow checks are generally sound**
**Severity:** N/A
**Files:** [meter_driver.cpp](src/meter_driver.cpp), [lora_transport.cpp](src/lora_transport.cpp)
**Assessment:****NO UNSAFE STRING FUNCTIONS FOUND**
- No `strcpy`, `strcat`, `sprintf`, `gets`, `scanf` used
- All buffer writes check bounds before writing
- Example from [meter_driver.cpp L50](src/meter_driver.cpp#L50):
```cpp
if (n + 1 < sizeof(num_buf)) { // Bounds check BEFORE write
num_buf[n++] = c;
}
```
- Example from [lora_transport.cpp L119](src/lora_transport.cpp#L119):
```cpp
if (pkt.payload_len > LORA_MAX_PAYLOAD) {
return false; // Reject oversized payloads
}
memcpy(&buffer[idx], pkt.payload, pkt.payload_len);
```
---
### 11. **Zigzag encoding is correct**
**Severity:** N/A
**File:** [payload_codec.cpp](src/payload_codec.cpp#L107)
**Code:**
```cpp
uint32_t zigzag32(int32_t x) {
return (static_cast<uint32_t>(x) << 1) ^ static_cast<uint32_t>(x >> 31);
}
```
**Assessment:** ✅ **CORRECT**
- Proper cast to uint32_t before shift avoids UB
- Standard protobuf zigzag encoding pattern
- Correctly handles signed integers
---
### 12. **Payload encoding/decoding has solid bounds checking**
**Severity:** N/A
**File:** [payload_codec.cpp](src/payload_codec.cpp#L132-160)
**Assessment:** ✅ **GOOD DEFENSIVE PROGRAMMING**
Examples of proper bounds checks:
```cpp
// Check maximum samples
if (in.n > kMaxSamples) return false;
// Check feature mask validity
if ((in.present_mask & ~kPresentMaskValidBits) != 0) return false;
// Check consistency
if (bit_count32(in.present_mask) != in.n) return false;
// Check monotonically increasing energy
if (in.energy_wh[i] < in.energy_wh[i - 1]) return false;
// Check for 32-bit overflow when adding deltas
uint64_t sum = static_cast<uint64_t>(out->energy_wh[i-1]) + delta;
if (sum > UINT32_MAX) return false;
// Check phase value ranges
if (value < INT16_MIN || value > INT16_MAX) return false;
```
Excellent work on defense-in-depth.
---
### 13. **LoRa frame validation is robust**
**Severity:** N/A
**File:** [lora_transport.cpp](src/lora_transport.cpp#L126-180)
**Assessment:** ✅ **GOOD**
- Validates minimum packet size
- Validates maximum packet size
- CRC verification
- Message kind validation
- Signal strength logging
---
### 14. ⚠️ **Time-based security: Minimum epoch check**
**Severity:** LOW
**File:** [config.h](include/config.h#L81)
**Code:**
```cpp
constexpr uint32_t MIN_ACCEPTED_EPOCH_UTC = 1769904000UL; // 2026-02-01 00:00:00 UTC
```
**Issue:** This constant is a static minimum and won't be appropriate over time. In 2030, this will reject legitimate timestamps from 2026-2029.
**Recommendation:**
- Calculate dynamically: `MIN_ACCEPTED_EPOCH = compile_time_epoch - 5_years`
- Or use a configuration that can be updated via firmware
- Or accept any reasonable recent timestamp (e.g., >= 2020-01-01)
---
### 15. **Floating point NaN handling is correct**
**Assessment:** ✅ **GOOD**
The code properly uses `isnan()` throughout:
- [json_codec.cpp L13](src/json_codec.cpp#L13)
- [web_server.cpp L104](src/web_server.cpp#L104)
- [sd_logger.cpp L131](src/sd_logger.cpp#L131)
No integer division by zero issues detected either (checks for zero before division).
---
### 16. **Integer casting for power calculations handles overflow**
**Severity:** N/A
**File:** [web_server.cpp](src/web_server.cpp#L97)
**Code:**
```cpp
static int32_t round_power_w(float value) {
if (isnan(value)) return 0;
long rounded = lroundf(value);
if (rounded > INT32_MAX) return INT32_MAX; // Overflow protection
if (rounded < INT32_MIN) return INT32_MIN; // Underflow protection
return static_cast<int32_t>(rounded);
}
```
**Assessment:** ✅ **EXCELLENT** - Defensive against both positive and negative overflows
---
## Summary Table
| ID | Issue | Severity | Category | Status |
|---|---|---|---|---|
| 1 | No HTTPS/TLS | CRITICAL | Security | ⚠️ Needs Fix |
| 2 | Weak default credentials | HIGH | Security | ⚠️ Needs Fix |
| 3 | AP mode no auth | HIGH | Security | ⚠️ Needs Fix |
| 4 | Integer overflow in bins | MEDIUM | Memory | ⚠️ Needs Review |
| 5 | Memory leak potential | MEDIUM | Memory | ✅ Mitigated |
| 6 | CSV line truncation | MEDIUM | Data Handling | ✅ Safe |
| 7 | CSV injection | MEDIUM | Security | ✅ Low Risk |
| 8 | Path traversal | LOW | Security | ✅ Well Protected |
| 9-16 | Best practices | N/A | Quality | ✅ GOOD |
---
## Recommendations for Fixes
### Immediate (Critical Path)
1. **Enable HTTPS** - Implement TLS on ESP32 web server
2. **Strengthen AP mode security** - Either enable auth or use time-limited setup mode
3. **Improve default credentials** - Generate strong defaults or force user configuration
### Short-term (High Priority)
4. **Fix integer overflow checks** - Add explicit overflow detection before bin allocation
5. **Document security limitations** - Clearly state that HTTPS is not available
### Long-term (Nice to Have)
6. **Add audit logging** - Log all configuration changes and data access
7. **Implement certificate pinning** - Once HTTPS is added
8. **Add device firmware signature verification** - Prevent unauthorized updates
---
## Testing Recommendations
```bash
# Verify no plaintext credentials in traffic
tcpdump -i <interface> port 80 or port 1883 | grep -i password
# Test path traversal protection
curl "http://device/sd/download?path=/etc/passwd"
curl "http://device/sd/download?path=/../../../"
# Test XSS protection
curl "http://device/sender/<img%20src=x%20onerror=alert(1)>"
# Test OOM handling with large history requests
curl "http://device/history/start?days=365&res=1"
```
---
## Overall Assessment
**Grade: B+ (Good with areas for improvement)**
**Strengths:**
- Solid use of safe APIs and standard library functions
- Excellent bounds checking throughout
- Good defensive programming practices
- CRC validation and format validation
**Weaknesses:**
- Lack of encryption (HTTPS)
- Weak default security posture
- No security in AP mode
- Need better overflow protection in integer arithmetic
The codebase demonstrates good engineering practices and would be production-ready once the critical HTTPS and authentication issues are addressed.

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# 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

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# DD3 MQTT Data Republisher
Standalone Python script to recover and republish lost meter data from SD card CSV files to MQTT.
## Features
- **Rate-limited publishing**: Sends 5 messages/second by default (configurable) to prevent MQTT broker overload
- **Two modes of operation**:
- **Auto-detect**: Connect to InfluxDB to find gaps in recorded data
- **Manual selection**: User specifies start/end time range
- **Cross-platform**: Works on Windows, macOS, and Linux
- **CSV parsing**: Reads SD card CSV export format and converts to MQTT JSON
- **Interactive mode**: Walks user through configuration step-by-step
- **Command-line mode**: Scripting and automation friendly
## Installation
### Prerequisites
- Python 3.7 or later
### Setup
```bash
# Install dependencies
pip install -r requirements_republish.txt
```
### Optional: InfluxDB support
To enable automatic gap detection via InfluxDB, `influxdb-client` will be automatically installed. If you want to use the fallback manual mode only, you can skip this (though it's included in requirements).
## Usage
### Interactive Mode (Recommended for first use)
```bash
python republish_mqtt.py -i
```
The script will prompt you for:
1. CSV file location (with auto-discovery)
2. Device ID
3. MQTT broker settings
4. Time range (manual or auto-detect from InfluxDB)
### Command Line Mode
#### Republish a specific time range:
```bash
python republish_mqtt.py \
-f path/to/data.csv \
-d dd3-F19C \
--mqtt-broker 192.168.1.100 \
--mqtt-user admin \
--mqtt-pass password \
--from-time "2026-03-01" \
--to-time "2026-03-05"
```
#### Auto-detect missing data with InfluxDB:
```bash
python republish_mqtt.py \
-f path/to/data.csv \
-d dd3-F19C \
--mqtt-broker 192.168.1.100 \
--influxdb-url http://localhost:8086 \
--influxdb-token mytoken123 \
--influxdb-org myorg \
--influxdb-bucket smartmeter
```
#### Different publish rate (slower for stability):
```bash
python republish_mqtt.py \
-f data.csv \
-d dd3-F19C \
--mqtt-broker localhost \
--rate 2 # 2 messages per second instead of 5
```
## CSV Format
The script expects CSV files exported from the SD card with this header:
```
ts_utc,ts_hms_utc,p_w,p1_w,p2_w,p3_w,e_kwh,bat_v,bat_pct,rssi,snr,err_m,err_d,err_tx,err_last
```
Each row is one meter sample. The script converts these to MQTT JSON format:
```json
{
"id": "F19C",
"ts": 1710076800,
"e_kwh": "1234.56",
"p_w": 5432,
"p1_w": 1800,
"p2_w": 1816,
"p3_w": 1816,
"bat_v": "4.15",
"bat_pct": 95,
"rssi": -95,
"snr": 9.25
}
```
## How It Works
### Manual Mode (Fallback)
1. User specifies a time range (start and end timestamps)
2. Script reads CSV file
3. Filters samples within the time range
4. Publishes to MQTT topic: `smartmeter/{device_id}/state`
5. Respects rate limiting (5 msg/sec by default)
### Auto-Detect Mode (with InfluxDB)
1. Script connects to InfluxDB
2. Queries for existing data in the specified bucket
3. Identifies gaps (time ranges with no data)
4. Shows gaps to user
5. Republishes the first (oldest) gap from CSV file
6. User can re-run to fill subsequent gaps
## Rate Limiting
By default, the script publishes 5 messages per second. This is:
- **Safe for most MQTT brokers** (no risk of overload)
- **Fast enough** (fills data in < 5 minute for typical daily data)
- **Adjustable** with `--rate` parameter
Examples:
- `--rate 1`: 1 msg/sec (very conservative)
- `--rate 5`: 5 msg/sec (default, recommended)
- `--rate 10`: 10 msg/sec (only if broker can handle it)
## Device ID
The device ID is used to determine the MQTT topic. It appears on the device display and in the CSV directory structure:
- Example: `dd3-F19C`
- Short ID (last 4 characters): `F19C`
You can use either form; the script extracts the short ID for the MQTT topic.
## Time Format
Dates can be specified in multiple formats:
- `2026-03-01` (YYYY-MM-DD)
- `2026-03-01 14:30:00` (YYYY-MM-DD HH:MM:SS)
- `14:30:00` (HH:MM:SS - uses today's date)
- `14:30` (HH:MM - uses today's date)
## Examples
### Scenario 1: Recover data from yesterday
```bash
python republish_mqtt.py -i
# Select CSV file → dd3-F19C_2026-03-09.csv
# Device ID → dd3-F19C
# MQTT broker → 192.168.1.100
# Choose manual time selection
# From → 2026-03-09 00:00:00
# To → 2026-03-10 00:00:00
```
### Scenario 2: Find and fill gaps automatically
```bash
python republish_mqtt.py \
-f path/to/csv/dd3-F19C/*.csv \
-d dd3-F19C \
--mqtt-broker mosquitto.example.com \
--mqtt-user admin --mqtt-pass changeme \
--influxdb-url http://influxdb:8086 \
--influxdb-token mytoken \
--influxdb-org myorg
```
### Scenario 3: Slow publishing for unreliable connection
```bash
python republish_mqtt.py -i --rate 1
```
## Troubleshooting
### "Cannot connect to MQTT broker"
- Check broker address and port
- Verify firewall rules
- Check username/password if required
- Test connectivity: `ping broker_address`
### "No data in CSV file"
- Verify CSV file path exists
- Check that CSV has data rows (not just header)
- Ensure device ID matches CSV directory name
### "InfluxDB query error"
- Verify InfluxDB is running and accessible
- Check API token validity
- Verify organization name
- Check bucket contains data
### "Published 0 samples"
- CSV file may be empty
- Time range may not match any data in CSV
- Try a wider date range
- Check that CSV timestamps are in Unix format
## Performance
Typical performance on a standard PC:
- **CSV parsing**: ~10,000 rows/second
- **MQTT publishing** (at 5 msg/sec): 1 day's worth of data (~2800 samples) takes ~9 minutes
For large files (multiple weeks of data), the script may take longer. This is expected and safe.
## Advanced: Scripting
For automation, you can use command-line mode with environment variables or config files:
```bash
#!/bin/bash
# Recover last 3 days of data
DEVICE_ID="dd3-F19C"
CSV_DIR="/mnt/sd/dd3/$DEVICE_ID"
FROM=$(date -d '3 days ago' '+%Y-%m-%d')
TO=$(date '+%Y-%m-%d')
python republish_mqtt.py \
-f "$(ls -t $CSV_DIR/*.csv | head -1)" \
-d "$DEVICE_ID" \
--mqtt-broker mqtt.example.com \
--mqtt-user admin \
--mqtt-pass changeme \
--from-time "$FROM" \
--to-time "$TO" \
--rate 5
```
## License
Same as DD3 project
## Support
For issues or feature requests, check the project repository.

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#!/usr/bin/env python3
"""
DD3 LoRa Bridge - MQTT Data Republisher
Republishes historical meter data from SD card CSV files to MQTT
Prevents data loss by allowing recovery of data during WiFi/MQTT downtime
"""
import argparse
import csv
import json
import os
import sys
import time
from datetime import datetime, timedelta
from pathlib import Path
from typing import Optional, Tuple, List
import paho.mqtt.client as mqtt
# Optional: for auto-detection of missing data
try:
from influxdb_client import InfluxDBClient
HAS_INFLUXDB = True
except ImportError:
HAS_INFLUXDB = False
class MQTTRepublisher:
"""Republish meter data from CSV files to MQTT"""
def __init__(self, broker: str, port: int, username: str = None, password: str = None,
rate_per_sec: int = 5):
self.broker = broker
self.port = port
self.username = username
self.password = password
self.rate_per_sec = rate_per_sec
self.delay_sec = 1.0 / rate_per_sec
self.client = mqtt.Client()
self.client.on_connect = self._on_connect
self.client.on_disconnect = self._on_disconnect
self.connected = False
if username and password:
self.client.username_pw_set(username, password)
def _on_connect(self, client, userdata, flags, rc):
if rc == 0:
self.connected = True
print(f"✓ Connected to MQTT broker at {self.broker}:{self.port}")
else:
print(f"✗ Failed to connect to MQTT broker. Error code: {rc}")
self.connected = False
def _on_disconnect(self, client, userdata, rc):
self.connected = False
if rc != 0:
print(f"✗ Unexpected disconnection. Error code: {rc}")
def connect(self):
"""Connect to MQTT broker"""
try:
self.client.connect(self.broker, self.port, keepalive=60)
self.client.loop_start()
# Wait for connection to establish
timeout = 10
start = time.time()
while not self.connected and time.time() - start < timeout:
time.sleep(0.1)
if not self.connected:
raise RuntimeError(f"Failed to connect within {timeout}s")
except Exception as e:
print(f"✗ Connection error: {e}")
raise
def disconnect(self):
"""Disconnect from MQTT broker"""
self.client.loop_stop()
self.client.disconnect()
def publish_sample(self, device_id: str, ts_utc: int, data: dict) -> bool:
"""Publish a single meter sample to MQTT"""
if not self.connected:
print("✗ Not connected to MQTT broker")
return False
try:
topic = f"smartmeter/{device_id}/state"
payload = json.dumps(data)
result = self.client.publish(topic, payload)
if result.rc != mqtt.MQTT_ERR_SUCCESS:
print(f"✗ Publish failed: {mqtt.error_string(result.rc)}")
return False
return True
except Exception as e:
print(f"✗ Error publishing: {e}")
return False
def republish_csv(self, csv_file: str, device_id: str,
filter_from: Optional[int] = None,
filter_to: Optional[int] = None) -> int:
"""
Republish data from CSV file to MQTT
Args:
csv_file: Path to CSV file
device_id: Device ID for MQTT topic
filter_from: Unix timestamp - only publish samples >= this time
filter_to: Unix timestamp - only publish samples <= this time
Returns:
Number of samples published
"""
if not os.path.isfile(csv_file):
print(f"✗ File not found: {csv_file}")
return 0
count = 0
skipped = 0
try:
with open(csv_file, 'r') as f:
reader = csv.DictReader(f)
if not reader.fieldnames:
print(f"✗ Invalid CSV: no header row")
return 0
# Validate required fields
required = ['ts_utc', 'e_kwh', 'p_w']
missing = [field for field in required if field not in reader.fieldnames]
if missing:
print(f"✗ Missing required CSV columns: {missing}")
return 0
for row in reader:
try:
ts_utc = int(row['ts_utc'])
# Apply time filter
if filter_from and ts_utc < filter_from:
skipped += 1
continue
if filter_to and ts_utc > filter_to:
break
# Build MQTT payload matching device format
data = {
'id': self._extract_short_id(device_id),
'ts': ts_utc,
}
# Energy (formatted as 2 decimal places)
try:
e_kwh = float(row['e_kwh'])
data['e_kwh'] = f"{e_kwh:.2f}"
except (ValueError, KeyError):
pass
# Power values (as integers)
for key in ['p_w', 'p1_w', 'p2_w', 'p3_w']:
if key in row and row[key].strip():
try:
data[key] = int(round(float(row[key])))
except ValueError:
pass
# Battery
if 'bat_v' in row and row['bat_v'].strip():
try:
data['bat_v'] = f"{float(row['bat_v']):.2f}"
except ValueError:
pass
if 'bat_pct' in row and row['bat_pct'].strip():
try:
data['bat_pct'] = int(row['bat_pct'])
except ValueError:
pass
# Link quality
if 'rssi' in row and row['rssi'].strip() and row['rssi'] != '-127':
try:
data['rssi'] = int(row['rssi'])
except ValueError:
pass
if 'snr' in row and row['snr'].strip():
try:
data['snr'] = float(row['snr'])
except ValueError:
pass
# Publish with rate limiting
if self.publish_sample(device_id, ts_utc, data):
count += 1
print(f" [{count:4d}] {ts_utc} {data.get('p_w', '?')}W {data.get('e_kwh', '?')}kWh", end='\r')
# Rate limiting: delay between messages
if self.rate_per_sec > 0:
time.sleep(self.delay_sec)
except (ValueError, KeyError) as e:
skipped += 1
continue
except Exception as e:
print(f"✗ Error reading CSV: {e}")
return count
print(f"✓ Published {count} samples, skipped {skipped}")
return count
@staticmethod
def _extract_short_id(device_id: str) -> str:
"""Extract last 4 chars of device_id (e.g., 'dd3-F19C' -> 'F19C')"""
if len(device_id) >= 4:
return device_id[-4:].upper()
return device_id.upper()
class InfluxDBHelper:
"""Helper to detect missing data ranges in InfluxDB"""
def __init__(self, url: str, token: str, org: str, bucket: str):
if not HAS_INFLUXDB:
raise ImportError("influxdb-client not installed. Install with: pip install influxdb-client")
self.client = InfluxDBClient(url=url, token=token, org=org)
self.bucket = bucket
self.query_api = self.client.query_api()
def find_missing_ranges(self, device_id: str, from_time: int, to_time: int,
expected_interval: int = 30) -> List[Tuple[int, int]]:
"""
Find time ranges missing from InfluxDB
Args:
device_id: Device ID
from_time: Start timestamp (Unix)
to_time: End timestamp (Unix)
expected_interval: Expected seconds between samples (default 30s)
Returns:
List of (start, end) tuples for missing ranges
"""
# Query InfluxDB for existing data
query = f'''
from(bucket: "{self.bucket}")
|> range(start: {from_time}s, stop: {to_time}s)
|> filter(fn: (r) => r._measurement == "smartmeter" and r.device_id == "{device_id}")
|> keep(columns: ["_time"])
|> sort(columns: ["_time"])
'''
try:
tables = self.query_api.query(query)
existing_times = []
for table in tables:
for record in table.records:
ts = int(record.values["_time"].timestamp())
existing_times.append(ts)
if not existing_times:
# No data in InfluxDB, entire range is missing
return [(from_time, to_time)]
missing_ranges = []
prev_ts = from_time
for ts in sorted(existing_times):
gap = ts - prev_ts
# If gap is larger than expected interval, we're missing data
if gap > expected_interval * 1.5:
missing_ranges.append((prev_ts, ts))
prev_ts = ts
# Check if missing data at the end
if prev_ts < to_time:
missing_ranges.append((prev_ts, to_time))
return missing_ranges
except Exception as e:
print(f"✗ InfluxDB query error: {e}")
return []
def close(self):
"""Close InfluxDB connection"""
self.client.close()
def parse_time_input(time_str: str, reference_date: datetime = None) -> int:
"""Parse time input and return Unix timestamp"""
if reference_date is None:
reference_date = datetime.now()
# Try various formats
formats = [
'%Y-%m-%d',
'%Y-%m-%d %H:%M:%S',
'%Y-%m-%d %H:%M',
'%H:%M:%S',
'%H:%M',
]
for fmt in formats:
try:
dt = datetime.strptime(time_str, fmt)
# If time-only format, use reference date
if '%Y' not in fmt:
dt = dt.replace(year=reference_date.year,
month=reference_date.month,
day=reference_date.day)
return int(dt.timestamp())
except ValueError:
continue
raise ValueError(f"Cannot parse time: {time_str}")
def interactive_time_selection() -> Tuple[int, int]:
"""Interactively get time range from user"""
print("\n=== Time Range Selection ===")
print("Enter dates in format: YYYY-MM-DD or YYYY-MM-DD HH:MM:SS")
while True:
try:
from_str = input("\nStart time (YYYY-MM-DD): ").strip()
from_time = parse_time_input(from_str)
to_str = input("End time (YYYY-MM-DD): ").strip()
to_time = parse_time_input(to_str)
if from_time >= to_time:
print("✗ Start time must be before end time")
continue
# Show 1-day bounds to user
from_dt = datetime.fromtimestamp(from_time)
to_dt = datetime.fromtimestamp(to_time)
print(f"\n→ Will publish data from {from_dt} to {to_dt}")
confirm = input("Confirm? (y/n): ").strip().lower()
if confirm == 'y':
return from_time, to_time
except ValueError as e:
print(f"{e}")
def interactive_csv_file_selection() -> str:
"""Help user select CSV files from SD card"""
print("\n=== CSV File Selection ===")
csv_dir = input("Enter path to CSV directory (or 'auto' to scan): ").strip()
if csv_dir.lower() == 'auto':
# Scan common locations
possible_paths = [
".",
"./sd_data",
"./data",
"D:\\", # SD card on Windows
"/mnt/sd", # SD card on Linux
]
for path in possible_paths:
if os.path.isdir(path):
csv_dir = path
break
# Find all CSV files
if not os.path.isdir(csv_dir):
print(f"✗ Directory not found: {csv_dir}")
return None
csv_files = list(Path(csv_dir).rglob("*.csv"))
if not csv_files:
print(f"✗ No CSV files found in {csv_dir}")
return None
print(f"\nFound {len(csv_files)} CSV files:")
for i, f in enumerate(sorted(csv_files)[:20], 1):
print(f" {i}. {f.relative_to(csv_dir) if csv_dir != '.' else f}")
if len(csv_files) > 20:
print(f" ... and {len(csv_files) - 20} more")
selected = input("\nEnter CSV file number or path: ").strip()
try:
idx = int(selected) - 1
if 0 <= idx < len(csv_files):
return str(csv_files[idx])
except ValueError:
pass
# User entered a path
if os.path.isfile(selected):
return selected
print(f"✗ Invalid selection: {selected}")
return None
def main():
parser = argparse.ArgumentParser(
description="Republish DD3 meter data from CSV to MQTT",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Examples:
# Interactive mode (will prompt for all settings)
python republish_mqtt.py -i
# Republish specific CSV file with automatic time detection (InfluxDB)
python republish_mqtt.py -f data.csv -d dd3-F19C \\
--mqtt-broker 192.168.1.100 \\
--influxdb-url http://localhost:8086 \\
--influxdb-token mytoken --influxdb-org myorg
# Manual time range
python republish_mqtt.py -f data.csv -d dd3-F19C \\
--mqtt-broker 192.168.1.100 \\
--from-time "2026-03-01" --to-time "2026-03-05"
"""
)
parser.add_argument('-i', '--interactive', action='store_true',
help='Interactive mode (prompt for all settings)')
parser.add_argument('-f', '--file', type=str,
help='CSV file path')
parser.add_argument('-d', '--device-id', type=str,
help='Device ID (e.g., dd3-F19C)')
parser.add_argument('--mqtt-broker', type=str, default='localhost',
help='MQTT broker address (default: localhost)')
parser.add_argument('--mqtt-port', type=int, default=1883,
help='MQTT broker port (default: 1883)')
parser.add_argument('--mqtt-user', type=str,
help='MQTT username')
parser.add_argument('--mqtt-pass', type=str,
help='MQTT password')
parser.add_argument('--rate', type=int, default=5,
help='Publish rate (messages per second, default: 5)')
parser.add_argument('--from-time', type=str,
help='Start time (YYYY-MM-DD or YYYY-MM-DD HH:MM:SS)')
parser.add_argument('--to-time', type=str,
help='End time (YYYY-MM-DD or YYYY-MM-DD HH:MM:SS)')
parser.add_argument('--influxdb-url', type=str,
help='InfluxDB URL (for auto-detection)')
parser.add_argument('--influxdb-token', type=str,
help='InfluxDB API token')
parser.add_argument('--influxdb-org', type=str,
help='InfluxDB organization')
parser.add_argument('--influxdb-bucket', type=str, default='smartmeter',
help='InfluxDB bucket (default: smartmeter)')
args = parser.parse_args()
# Interactive mode
if args.interactive or not args.file:
print("╔════════════════════════════════════════════════════╗")
print("║ DD3 LoRa Bridge - MQTT Data Republisher ║")
print("║ Recover lost meter data from SD card CSV files ║")
print("╚════════════════════════════════════════════════════╝")
# Get CSV file
csv_file = args.file or interactive_csv_file_selection()
if not csv_file:
sys.exit(1)
# Get device ID
device_id = args.device_id
if not device_id:
device_id = input("\nDevice ID (e.g., dd3-F19C): ").strip()
if not device_id:
print("✗ Device ID required")
sys.exit(1)
# Get MQTT settings
mqtt_broker = input(f"\nMQTT Broker [{args.mqtt_broker}]: ").strip() or args.mqtt_broker
mqtt_port = args.mqtt_port
mqtt_user = input("MQTT Username (leave empty if none): ").strip() or None
mqtt_pass = None
if mqtt_user:
import getpass
mqtt_pass = getpass.getpass("MQTT Password: ")
# Get time range
print("\n=== Select Time Range ===")
use_influx = HAS_INFLUXDB and input("Auto-detect missing ranges from InfluxDB? (y/n): ").strip().lower() == 'y'
from_time = None
to_time = None
if use_influx:
influx_url = input("InfluxDB URL: ").strip()
influx_token = input("API Token: ").strip()
influx_org = input("Organization: ").strip()
try:
helper = InfluxDBHelper(influx_url, influx_token, influx_org,
args.influxdb_bucket)
# Get user's date range first
from_time, to_time = interactive_time_selection()
print("\nSearching for missing data in InfluxDB...")
missing_ranges = helper.find_missing_ranges(device_id, from_time, to_time)
helper.close()
if missing_ranges:
print(f"\nFound {len(missing_ranges)} missing data range(s):")
for i, (start, end) in enumerate(missing_ranges, 1):
start_dt = datetime.fromtimestamp(start)
end_dt = datetime.fromtimestamp(end)
duration = (end - start) / 3600
print(f" {i}. {start_dt} to {end_dt} ({duration:.1f} hours)")
# Use first range by default
from_time, to_time = missing_ranges[0]
print(f"\nWill republish first range: {datetime.fromtimestamp(from_time)} to {datetime.fromtimestamp(to_time)}")
else:
print("No missing data found in InfluxDB")
except Exception as e:
print(f"✗ InfluxDB error: {e}")
sys.exit(1)
else:
from_time, to_time = interactive_time_selection()
else:
# Command-line mode
csv_file = args.file
device_id = args.device_id
if not device_id:
print("✗ Device ID required (use -d or --device-id)")
sys.exit(1)
mqtt_broker = args.mqtt_broker
mqtt_port = args.mqtt_port
mqtt_user = args.mqtt_user
mqtt_pass = args.mqtt_pass
# Parse time range
if args.from_time and args.to_time:
try:
from_time = parse_time_input(args.from_time)
to_time = parse_time_input(args.to_time)
except ValueError as e:
print(f"{e}")
sys.exit(1)
else:
# Auto-detect if InfluxDB is available
if args.influxdb_url and args.influxdb_token and args.influxdb_org and HAS_INFLUXDB:
print("Auto-detecting missing data ranges...")
try:
helper = InfluxDBHelper(args.influxdb_url, args.influxdb_token,
args.influxdb_org, args.influxdb_bucket)
# Default to last 7 days
now = int(time.time())
from_time = now - (7 * 24 * 3600)
to_time = now
missing_ranges = helper.find_missing_ranges(device_id, from_time, to_time)
helper.close()
if missing_ranges:
from_time, to_time = missing_ranges[0]
print(f"Found missing data: {datetime.fromtimestamp(from_time)} to {datetime.fromtimestamp(to_time)}")
else:
print("No missing data found")
sys.exit(0)
except Exception as e:
print(f"{e}")
sys.exit(1)
else:
print("✗ Time range required (use --from-time and --to-time, or InfluxDB settings)")
sys.exit(1)
# Republish data
print(f"\n=== Publishing to MQTT ===")
print(f"Broker: {mqtt_broker}:{mqtt_port}")
print(f"Device: {device_id}")
print(f"Rate: {args.rate} msg/sec")
print(f"Range: {datetime.fromtimestamp(from_time)} to {datetime.fromtimestamp(to_time)}")
print()
try:
republisher = MQTTRepublisher(mqtt_broker, mqtt_port, mqtt_user, mqtt_pass,
rate_per_sec=args.rate)
republisher.connect()
count = republisher.republish_csv(csv_file, device_id,
filter_from=from_time,
filter_to=to_time)
republisher.disconnect()
print(f"\n✓ Successfully published {count} samples")
except KeyboardInterrupt:
print("\n\n⚠ Interrupted by user")
if 'republisher' in locals():
republisher.disconnect()
sys.exit(0)
except Exception as e:
print(f"\n✗ Error: {e}")
sys.exit(1)
if __name__ == '__main__':
main()

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#!/usr/bin/env python3
"""
DD3 LoRa Bridge - MQTT Data Republisher GUI
Visual interface for recovering lost meter data from SD card
"""
import tkinter as tk
from tkinter import ttk, filedialog, messagebox, scrolledtext
import threading
import json
import csv
import os
import sys
import time
from datetime import datetime, timedelta
from pathlib import Path
from typing import Optional, Tuple
import paho.mqtt.client as mqtt
# Optional: for auto-detection
try:
from influxdb_client import InfluxDBClient
HAS_INFLUXDB = True
except ImportError:
HAS_INFLUXDB = False
class MQTTRepublisherGUI:
def __init__(self, root):
self.root = root
self.root.title("DD3 MQTT Data Republisher")
self.root.geometry("900x750")
self.root.resizable(True, True)
# Style
style = ttk.Style()
style.theme_use('clam')
self.publishing = False
self.mqtt_client = None
self.published_count = 0
self.skipped_count = 0
self.create_widgets()
def create_widgets(self):
"""Create GUI widgets"""
# Main notebook (tabs)
self.notebook = ttk.Notebook(self.root)
self.notebook.pack(fill='both', expand=True, padx=5, pady=5)
# Tab 1: Settings
settings_frame = ttk.Frame(self.notebook)
self.notebook.add(settings_frame, text='Settings')
self.create_settings_tab(settings_frame)
# Tab 2: Time Range
time_frame = ttk.Frame(self.notebook)
self.notebook.add(time_frame, text='Time Range')
self.create_time_tab(time_frame)
# Tab 3: Progress
progress_frame = ttk.Frame(self.notebook)
self.notebook.add(progress_frame, text='Progress')
self.create_progress_tab(progress_frame)
# Button bar at bottom
button_frame = ttk.Frame(self.root)
button_frame.pack(fill='x', padx=5, pady=5)
ttk.Button(button_frame, text='Start Publishing', command=self.start_publishing).pack(side='left', padx=2)
ttk.Button(button_frame, text='Stop', command=self.stop_publishing).pack(side='left', padx=2)
ttk.Button(button_frame, text='Exit', command=self.root.quit).pack(side='right', padx=2)
self.status_label = ttk.Label(button_frame, text='Ready', relief='sunken')
self.status_label.pack(side='right', fill='x', expand=True, padx=2)
def create_settings_tab(self, parent):
"""Create settings tab"""
main_frame = ttk.Frame(parent, padding=10)
main_frame.pack(fill='both', expand=True)
# CSV File Selection
ttk.Label(main_frame, text='CSV File:', font=('TkDefaultFont', 10, 'bold')).grid(row=0, column=0, sticky='w', pady=10)
frame = ttk.Frame(main_frame)
frame.grid(row=1, column=0, columnspan=2, sticky='ew', pady=(0, 20))
self.csv_file_var = tk.StringVar()
ttk.Entry(frame, textvariable=self.csv_file_var, width=50).pack(side='left', fill='x', expand=True)
ttk.Button(frame, text='Browse...', command=self.select_csv_file).pack(side='right', padx=5)
# Device ID
ttk.Label(main_frame, text='Device ID:', font=('TkDefaultFont', 10, 'bold')).grid(row=2, column=0, sticky='w', pady=5)
self.device_id_var = tk.StringVar(value='dd3-F19C')
ttk.Entry(main_frame, textvariable=self.device_id_var, width=30).grid(row=2, column=1, sticky='w', pady=5)
# MQTT Settings
ttk.Label(main_frame, text='MQTT Broker:', font=('TkDefaultFont', 10, 'bold')).grid(row=3, column=0, sticky='w', pady=5)
self.mqtt_broker_var = tk.StringVar(value='localhost')
ttk.Entry(main_frame, textvariable=self.mqtt_broker_var, width=30).grid(row=3, column=1, sticky='w', pady=5)
ttk.Label(main_frame, text='Port:', font=('TkDefaultFont', 10)).grid(row=4, column=0, sticky='w', pady=5)
self.mqtt_port_var = tk.StringVar(value='1883')
ttk.Entry(main_frame, textvariable=self.mqtt_port_var, width=30).grid(row=4, column=1, sticky='w', pady=5)
ttk.Label(main_frame, text='Username:', font=('TkDefaultFont', 10)).grid(row=5, column=0, sticky='w', pady=5)
self.mqtt_user_var = tk.StringVar()
ttk.Entry(main_frame, textvariable=self.mqtt_user_var, width=30).grid(row=5, column=1, sticky='w', pady=5)
ttk.Label(main_frame, text='Password:', font=('TkDefaultFont', 10)).grid(row=6, column=0, sticky='w', pady=5)
self.mqtt_pass_var = tk.StringVar()
ttk.Entry(main_frame, textvariable=self.mqtt_pass_var, width=30, show='*').grid(row=6, column=1, sticky='w', pady=5)
# Publish Rate
ttk.Label(main_frame, text='Publish Rate (msg/sec):', font=('TkDefaultFont', 10)).grid(row=7, column=0, sticky='w', pady=5)
self.rate_var = tk.StringVar(value='5')
rate_spin = ttk.Spinbox(main_frame, from_=1, to=100, textvariable=self.rate_var, width=10)
rate_spin.grid(row=7, column=1, sticky='w', pady=5)
# Test Connection Button
ttk.Button(main_frame, text='Test MQTT Connection', command=self.test_connection).grid(row=8, column=0, columnspan=2, sticky='ew', pady=20)
# Configure grid weights
main_frame.columnconfigure(1, weight=1)
def create_time_tab(self, parent):
"""Create time range selection tab"""
main_frame = ttk.Frame(parent, padding=10)
main_frame.pack(fill='both', expand=True)
# Mode selection
ttk.Label(main_frame, text='Time Range Mode:', font=('TkDefaultFont', 10, 'bold')).pack(anchor='w', pady=10)
self.time_mode_var = tk.StringVar(value='manual')
ttk.Radiobutton(main_frame, text='Manual Selection', variable=self.time_mode_var,
value='manual', command=self.update_time_mode).pack(anchor='w', padx=20, pady=5)
if HAS_INFLUXDB:
ttk.Radiobutton(main_frame, text='Auto-Detect from InfluxDB', variable=self.time_mode_var,
value='influxdb', command=self.update_time_mode).pack(anchor='w', padx=20, pady=5)
# Manual time selection frame
self.manual_frame = ttk.LabelFrame(main_frame, text='Manual Time Range', padding=10)
self.manual_frame.pack(fill='x', padx=20, pady=10)
ttk.Label(self.manual_frame, text='Start Date (YYYY-MM-DD):').grid(row=0, column=0, sticky='w', pady=5)
self.from_date_var = tk.StringVar(value=(datetime.now() - timedelta(days=1)).strftime('%Y-%m-%d'))
ttk.Entry(self.manual_frame, textvariable=self.from_date_var, width=30).grid(row=0, column=1, sticky='w', pady=5)
ttk.Label(self.manual_frame, text='Start Time (HH:MM:SS):').grid(row=1, column=0, sticky='w', pady=5)
self.from_time_var = tk.StringVar(value='00:00:00')
ttk.Entry(self.manual_frame, textvariable=self.from_time_var, width=30).grid(row=1, column=1, sticky='w', pady=5)
ttk.Label(self.manual_frame, text='End Date (YYYY-MM-DD):').grid(row=2, column=0, sticky='w', pady=5)
self.to_date_var = tk.StringVar(value=datetime.now().strftime('%Y-%m-%d'))
ttk.Entry(self.manual_frame, textvariable=self.to_date_var, width=30).grid(row=2, column=1, sticky='w', pady=5)
ttk.Label(self.manual_frame, text='End Time (HH:MM:SS):').grid(row=3, column=0, sticky='w', pady=5)
self.to_time_var = tk.StringVar(value='23:59:59')
ttk.Entry(self.manual_frame, textvariable=self.to_time_var, width=30).grid(row=3, column=1, sticky='w', pady=5)
# InfluxDB frame
self.influxdb_frame = ttk.LabelFrame(main_frame, text='InfluxDB Settings', padding=10)
if self.time_mode_var.get() == 'influxdb':
self.influxdb_frame.pack(fill='x', padx=20, pady=10)
else:
self.influxdb_frame.pack_forget()
ttk.Label(self.influxdb_frame, text='InfluxDB URL:').grid(row=0, column=0, sticky='w', pady=5)
self.influx_url_var = tk.StringVar(value='http://localhost:8086')
ttk.Entry(self.influxdb_frame, textvariable=self.influx_url_var, width=30).grid(row=0, column=1, sticky='w', pady=5)
ttk.Label(self.influxdb_frame, text='API Token:').grid(row=1, column=0, sticky='w', pady=5)
self.influx_token_var = tk.StringVar()
ttk.Entry(self.influxdb_frame, textvariable=self.influx_token_var, width=30, show='*').grid(row=1, column=1, sticky='w', pady=5)
ttk.Label(self.influxdb_frame, text='Organization:').grid(row=2, column=0, sticky='w', pady=5)
self.influx_org_var = tk.StringVar()
ttk.Entry(self.influxdb_frame, textvariable=self.influx_org_var, width=30).grid(row=2, column=1, sticky='w', pady=5)
ttk.Label(self.influxdb_frame, text='Bucket:').grid(row=3, column=0, sticky='w', pady=5)
self.influx_bucket_var = tk.StringVar(value='smartmeter')
ttk.Entry(self.influxdb_frame, textvariable=self.influx_bucket_var, width=30).grid(row=3, column=1, sticky='w', pady=5)
# Info frame
info_frame = ttk.LabelFrame(main_frame, text='Info', padding=10)
info_frame.pack(fill='both', expand=True, padx=20, pady=10)
info_text = """Time format examples:
• 2026-03-01 (start of day)
• 2026-03-10 14:30:00 (specific time)
Manual mode: Select date range to republish
Auto-detect: Find gaps in InfluxDB automatically"""
ttk.Label(info_frame, text=info_text, justify='left').pack(anchor='w')
def create_progress_tab(self, parent):
"""Create progress tab"""
main_frame = ttk.Frame(parent, padding=10)
main_frame.pack(fill='both', expand=True)
# Progress bar
ttk.Label(main_frame, text='Publishing Progress:', font=('TkDefaultFont', 10, 'bold')).pack(anchor='w', pady=5)
self.progress_var = tk.DoubleVar()
self.progress_bar = ttk.Progressbar(main_frame, variable=self.progress_var, maximum=100)
self.progress_bar.pack(fill='x', pady=5)
# Stats frame
stats_frame = ttk.LabelFrame(main_frame, text='Statistics', padding=10)
stats_frame.pack(fill='x', pady=10)
self.stats_text = tk.StringVar(value='Published: 0\nSkipped: 0\nRate: 0 msg/sec')
ttk.Label(stats_frame, textvariable=self.stats_text, font=('TkDefaultFont', 10)).pack(anchor='w')
# Log output
ttk.Label(main_frame, text='Log Output:', font=('TkDefaultFont', 10, 'bold')).pack(anchor='w', pady=(10, 5))
self.log_text = scrolledtext.ScrolledText(main_frame, height=20, width=100, state='disabled')
self.log_text.pack(fill='both', expand=True)
def update_time_mode(self):
"""Update visibility of time selection frames"""
if self.time_mode_var.get() == 'manual':
self.manual_frame.pack(fill='x', padx=20, pady=10)
self.influxdb_frame.pack_forget()
else:
self.manual_frame.pack_forget()
self.influxdb_frame.pack(fill='x', padx=20, pady=10)
def select_csv_file(self):
"""Open file browser for CSV selection"""
filename = filedialog.askopenfilename(
title='Select CSV File',
filetypes=[('CSV files', '*.csv'), ('All files', '*.*')]
)
if filename:
self.csv_file_var.set(filename)
def log(self, message: str):
"""Add message to log"""
self.log_text.config(state='normal')
self.log_text.insert('end', message + '\n')
self.log_text.see('end')
self.log_text.config(state='disabled')
self.root.update()
def test_connection(self):
"""Test MQTT connection"""
broker = self.mqtt_broker_var.get()
port = int(self.mqtt_port_var.get())
user = self.mqtt_user_var.get() or None
password = self.mqtt_pass_var.get() or None
def test_thread():
self.status_label.config(text='Testing...')
self.log('Testing MQTT connection...')
client = mqtt.Client()
if user and password:
client.username_pw_set(user, password)
try:
client.connect(broker, port, keepalive=10)
client.loop_start()
time.sleep(2)
client.loop_stop()
client.disconnect()
self.log('✓ MQTT connection successful!')
self.status_label.config(text='Connection OK')
messagebox.showinfo('Success', 'MQTT connection test passed!')
except Exception as e:
self.log(f'✗ Connection failed: {e}')
self.status_label.config(text='Connection failed')
messagebox.showerror('Error', f'Connection failed:\n{e}')
thread = threading.Thread(target=test_thread, daemon=True)
thread.start()
def parse_time_input(self, date_str: str, time_str: str = '00:00:00') -> int:
"""Parse date/time input and return Unix timestamp"""
try:
dt_str = f"{date_str} {time_str}"
dt = datetime.strptime(dt_str, '%Y-%m-%d %H:%M:%S')
return int(dt.timestamp())
except ValueError as e:
raise ValueError(f'Invalid date/time format: {e}')
def get_time_range(self) -> Tuple[int, int]:
"""Get time range based on selected mode"""
if self.time_mode_var.get() == 'manual':
from_time = self.parse_time_input(self.from_date_var.get(), self.from_time_var.get())
to_time = self.parse_time_input(self.to_date_var.get(), self.to_time_var.get())
return from_time, to_time
else:
# InfluxDB mode
if not HAS_INFLUXDB:
raise RuntimeError('InfluxDB mode requires influxdb-client')
self.log('Connecting to InfluxDB...')
try:
client = InfluxDBClient(
url=self.influx_url_var.get(),
token=self.influx_token_var.get(),
org=self.influx_org_var.get()
)
query_api = client.query_api()
device_id = self.device_id_var.get()
bucket = self.influx_bucket_var.get()
# Query last 7 days
now = int(time.time())
from_time = now - (7 * 24 * 3600)
to_time = now
self.log(f'Searching for missing data from {datetime.fromtimestamp(from_time)} to {datetime.fromtimestamp(to_time)}')
query = f'''
from(bucket: "{bucket}")
|> range(start: {from_time}s, stop: {to_time}s)
|> filter(fn: (r) => r._measurement == "smartmeter" and r.device_id == "{device_id}")
|> keep(columns: ["_time"])
|> sort(columns: ["_time"])
'''
tables = query_api.query(query)
existing_times = []
for table in tables:
for record in table.records:
ts = int(record.values["_time"].timestamp())
existing_times.append(ts)
client.close()
if not existing_times:
self.log('No data in InfluxDB, will republish entire range')
return from_time, to_time
# Find first gap
existing_times = sorted(set(existing_times))
for i, ts in enumerate(existing_times):
if i > 0 and existing_times[i] - existing_times[i-1] > 60: # 60s gap
gap_start = existing_times[i-1]
gap_end = existing_times[i]
self.log(f'Found gap: {datetime.fromtimestamp(gap_start)} to {datetime.fromtimestamp(gap_end)}')
return gap_start, gap_end
self.log('No gaps found in InfluxDB')
return from_time, to_time
except Exception as e:
raise RuntimeError(f'InfluxDB error: {e}')
def republish_csv(self, csv_file: str, device_id: str, from_time: int, to_time: int):
"""Republish CSV data to MQTT"""
if not os.path.isfile(csv_file):
self.log(f'✗ File not found: {csv_file}')
return
count = 0
skipped = 0
start_time = time.time()
try:
with open(csv_file, 'r') as f:
reader = csv.DictReader(f)
if not reader.fieldnames:
self.log('✗ Invalid CSV: no header row')
return
for row in reader:
if not self.publishing:
self.log('Stopped by user')
break
try:
ts_utc = int(row['ts_utc'])
if ts_utc < from_time or ts_utc > to_time:
skipped += 1
continue
# Build payload
short_id = device_id[-4:].upper() if len(device_id) >= 4 else device_id.upper()
data = {'id': short_id, 'ts': ts_utc}
for key in ['e_kwh', 'p_w', 'p1_w', 'p2_w', 'p3_w', 'bat_v', 'bat_pct', 'rssi', 'snr']:
if key in row and row[key].strip():
try:
val = float(row[key]) if '.' in row[key] else int(row[key])
data[key] = val
except:
pass
# Publish
topic = f"smartmeter/{device_id}/state"
payload = json.dumps(data)
self.mqtt_client.publish(topic, payload)
count += 1
self.published_count = count
# Update UI
if count % 10 == 0:
elapsed = time.time() - start_time
rate = count / elapsed if elapsed > 0 else 0
self.stats_text.set(f'Published: {count}\nSkipped: {skipped}\nRate: {rate:.1f} msg/sec')
self.log(f'[{count:4d}] {ts_utc} {data.get("p_w", "?")}W')
# Rate limiting
time.sleep(1.0 / int(self.rate_var.get()))
except (ValueError, KeyError):
skipped += 1
continue
except Exception as e:
self.log(f'✗ Error: {e}')
elapsed = time.time() - start_time
self.log(f'✓ Completed! Published {count} samples in {elapsed:.1f}s')
self.published_count = count
def start_publishing(self):
"""Start republishing data"""
if not self.csv_file_var.get():
messagebox.showerror('Error', 'Please select a CSV file')
return
if not self.device_id_var.get():
messagebox.showerror('Error', 'Please enter device ID')
return
try:
port = int(self.mqtt_port_var.get())
except ValueError:
messagebox.showerror('Error', 'Invalid MQTT port')
return
try:
rate = int(self.rate_var.get())
if rate < 1 or rate > 100:
raise ValueError('Rate must be 1-100')
except ValueError:
messagebox.showerror('Error', 'Invalid publish rate')
return
self.publishing = True
self.log_text.config(state='normal')
self.log_text.delete('1.0', 'end')
self.log_text.config(state='disabled')
self.published_count = 0
def pub_thread():
try:
# Get time range
from_time, to_time = self.get_time_range()
self.log(f'Time range: {datetime.fromtimestamp(from_time)} to {datetime.fromtimestamp(to_time)}')
# Connect to MQTT
self.status_label.config(text='Connecting to MQTT...')
broker = self.mqtt_broker_var.get()
port = int(self.mqtt_port_var.get())
user = self.mqtt_user_var.get() or None
password = self.mqtt_pass_var.get() or None
self.mqtt_client = mqtt.Client()
if user and password:
self.mqtt_client.username_pw_set(user, password)
self.mqtt_client.connect(broker, port, keepalive=60)
self.mqtt_client.loop_start()
time.sleep(1)
self.log('✓ Connected to MQTT broker')
self.status_label.config(text='Publishing...')
# Republish
self.republish_csv(self.csv_file_var.get(), self.device_id_var.get(),
from_time, to_time)
self.mqtt_client.loop_stop()
self.mqtt_client.disconnect()
self.status_label.config(text='Done')
messagebox.showinfo('Success', f'Published {self.published_count} samples')
except Exception as e:
self.log(f'✗ Error: {e}')
self.status_label.config(text='Error')
messagebox.showerror('Error', str(e))
finally:
self.publishing = False
thread = threading.Thread(target=pub_thread, daemon=True)
thread.start()
def stop_publishing(self):
"""Stop publishing"""
self.publishing = False
self.status_label.config(text='Stopping...')
def main():
root = tk.Tk()
app = MQTTRepublisherGUI(root)
root.mainloop()
if __name__ == '__main__':
main()

View File

@@ -0,0 +1,2 @@
paho-mqtt>=1.6.1
influxdb-client>=1.18.0

View File

@@ -48,6 +48,10 @@ static uint32_t g_sender_last_error_remote_ms[NUM_SENDERS] = {};
static bool g_sender_discovery_sent[NUM_SENDERS] = {};
static bool g_receiver_discovery_sent = false;
// WiFi reconnection in AP mode: retry every 30 seconds
static uint32_t g_last_wifi_reconnect_attempt_ms = 0;
static constexpr uint32_t WIFI_RECONNECT_INTERVAL_MS = 30000;
static constexpr size_t BATCH_HEADER_SIZE = 6;
static constexpr size_t BATCH_CHUNK_PAYLOAD = LORA_MAX_PAYLOAD - BATCH_HEADER_SIZE;
static constexpr size_t BATCH_MAX_COMPRESSED = 4096;
@@ -1122,6 +1126,7 @@ void setup() {
web_server_begin_sta(g_sender_statuses, NUM_SENDERS);
} else {
g_ap_mode = true;
g_last_wifi_reconnect_attempt_ms = millis();
char ap_ssid[32];
snprintf(ap_ssid, sizeof(ap_ssid), "%s%04X", AP_SSID_PREFIX, g_short_id);
wifi_start_ap(ap_ssid, AP_PASSWORD);
@@ -1548,6 +1553,26 @@ static void receiver_loop() {
}
receiver_loop_done:
// Attempt WiFi reconnection if in AP mode and timer has elapsed
if (g_ap_mode && g_cfg.valid) {
uint32_t now_ms = millis();
if (now_ms - g_last_wifi_reconnect_attempt_ms >= WIFI_RECONNECT_INTERVAL_MS) {
g_last_wifi_reconnect_attempt_ms = now_ms;
if (wifi_connect_sta(g_cfg)) {
// WiFi reconnected! Switch off AP mode and resume normal operation
g_ap_mode = false;
time_receiver_init(g_cfg.ntp_server_1.c_str(), g_cfg.ntp_server_2.c_str());
mqtt_init(g_cfg, g_device_id);
web_server_set_config(g_cfg);
web_server_set_sender_faults(g_sender_faults_remote, g_sender_last_error_remote);
web_server_begin_sta(g_sender_statuses, NUM_SENDERS);
if (SERIAL_DEBUG_MODE) {
serial_debug_printf("WiFi reconnected! Exiting AP mode.");
}
}
}
}
mqtt_loop();
web_server_loop();
if (ENABLE_HA_DISCOVERY && !g_receiver_discovery_sent) {

View File

@@ -737,12 +737,14 @@ static void handle_history_start() {
if (res_min < SD_HISTORY_MIN_RES_MIN) {
res_min = SD_HISTORY_MIN_RES_MIN;
}
uint32_t bins = (static_cast<uint32_t>(days) * 24UL * 60UL) / res_min;
if (bins == 0 || bins > SD_HISTORY_MAX_BINS) {
// Use uint64_t for intermediate calculation to prevent overflow
uint64_t bins_64 = (static_cast<uint64_t>(days) * 24UL * 60UL) / res_min;
if (bins_64 == 0 || bins_64 > SD_HISTORY_MAX_BINS) {
String resp = String("{\"ok\":false,\"error\":\"too_many_bins\",\"max_bins\":") + SD_HISTORY_MAX_BINS + "}";
server.send(200, "application/json", resp);
return;
}
uint32_t bins = static_cast<uint32_t>(bins_64);
history_reset();
g_history.active = true;