272 lines
6.5 KiB
Markdown
272 lines
6.5 KiB
Markdown
# SPORE
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> **S**Procket **OR**chestration **E**ngine
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SPORE is a cluster engine for ESP8266 microcontrollers that provides automatic node discovery, health monitoring, and over-the-air updates in a distributed network environment.
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## Features
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- **WiFi Management**: Automatic WiFi STA/AP configuration with MAC-based hostname generation
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- **Auto Discovery**: UDP-based node discovery with automatic cluster membership
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- **Service Registry**: Dynamic API endpoint discovery and registration
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- **Health Monitoring**: Real-time node status tracking with resource monitoring
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- **Event System**: Local and cluster-wide event publishing/subscription
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- **Over-The-Air Updates**: Seamless firmware updates across the cluster
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- **REST API**: HTTP-based cluster management and monitoring
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## Supported Hardware
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- **ESP-01** (1MB Flash)
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- **ESP-01S** (1MB Flash)
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- Other ESP8266 boards with 1MB+ flash
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## Architecture
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### Core Components
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The system architecture consists of several key components working together:
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- **Network Manager**: WiFi connection handling and hostname configuration
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- **Cluster Manager**: Node discovery, member list management, and health monitoring
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- **API Server**: HTTP API server with dynamic endpoint registration
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- **Task Scheduler**: Cooperative multitasking system for background operations
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- **Node Context**: Central context providing event system and shared resources
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### Auto Discovery Protocol
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The cluster uses a UDP-based discovery protocol for automatic node detection:
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1. **Discovery Broadcast**: Nodes periodically send UDP packets on port 4210
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2. **Response Handling**: Nodes respond with their hostname and IP address
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3. **Member Management**: Discovered nodes are automatically added to the cluster
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4. **Health Monitoring**: Continuous status checking via HTTP API calls
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### Task Scheduling
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The system runs several background tasks at different intervals:
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- **Discovery Tasks**: Send/listen for discovery packets (1s/100ms)
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- **Status Updates**: Monitor cluster member health (1s)
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- **Heartbeat**: Maintain cluster connectivity (2s)
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- **Member Info**: Update detailed node information (10s)
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- **Debug Output**: Print cluster status (5s)
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## API Endpoints
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### Node Management
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| Endpoint | Method | Description |
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|----------|--------|-------------|
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| `/api/node/status` | GET | Get system resources and API endpoints |
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| `/api/node/update` | POST | Upload and install firmware update |
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| `/api/node/restart` | POST | Restart the node |
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### Cluster Management
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| Endpoint | Method | Description |
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|----------|--------|-------------|
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| `/api/cluster/members` | GET | Get cluster membership and status |
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### Node Status Response
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```json
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{
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"freeHeap": 12345,
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"chipId": 12345678,
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"sdkVersion": "2.2.2-dev(38a443e)",
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"cpuFreqMHz": 80,
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"flashChipSize": 1048576,
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"api": [
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{
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"uri": "/api/node/status",
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"method": "GET"
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}
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]
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}
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```
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### Cluster Members Response
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```json
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{
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"members": [
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{
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"hostname": "esp_123456",
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"ip": "192.168.1.100",
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"lastSeen": 1234567890,
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"latency": 5,
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"status": "active",
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"resources": {
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"freeHeap": 12345,
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"chipId": 12345678,
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"sdkVersion": "2.2.2-dev(38a443e)",
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"cpuFreqMHz": 80,
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"flashChipSize": 1048576
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},
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"api": [
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{
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"uri": "/api/node/status",
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"method": "GET"
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}
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]
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}
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]
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}
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```
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## Configuration
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### Environment Setup
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Create a `.env` file in your project root:
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```bash
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# API node IP for cluster management
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export API_NODE=192.168.1.100
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```
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### PlatformIO Configuration
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The project uses PlatformIO with the following configuration:
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- **Framework**: Arduino
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- **Board**: ESP-01 with 1MB flash
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- **Upload Speed**: 115200 baud
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- **Flash Mode**: DOUT (required for ESP-01S)
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### Dependencies
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The project requires the following libraries:
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- `esp32async/ESPAsyncWebServer@^3.8.0` - HTTP API server
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- `bblanchon/ArduinoJson@^7.4.2` - JSON processing
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- `arkhipenko/TaskScheduler@^3.8.5` - Cooperative multitasking
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## Development
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### Prerequisites
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- PlatformIO Core or PlatformIO IDE
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- ESP8266 development tools
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- `jq` for JSON processing in scripts
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### Building
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Build the firmware:
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```bash
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./ctl.sh build
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```
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### Flashing
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Flash firmware to a connected device:
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```bash
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./ctl.sh flash
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```
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### Over-The-Air Updates
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Update a specific node:
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```bash
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./ctl.sh ota update 192.168.1.100
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```
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Update all nodes in the cluster:
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```bash
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./ctl.sh ota all
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```
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### Cluster Management
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View cluster members:
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```bash
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./ctl.sh cluster members
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```
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## Implementation Details
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### Event System
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The `NodeContext` provides an event-driven architecture:
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```cpp
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// Subscribe to events
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ctx.on("node_discovered", [](void* data) {
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NodeInfo* node = static_cast<NodeInfo*>(data);
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// Handle new node discovery
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});
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// Publish events
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ctx.fire("node_discovered", &newNode);
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```
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### Node Status Tracking
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Nodes are automatically categorized by their activity:
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- **ACTIVE**: Responding within 10 seconds
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- **INACTIVE**: No response for 10-60 seconds
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- **DEAD**: No response for over 60 seconds
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### Resource Monitoring
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Each node tracks:
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- Free heap memory
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- Chip ID and SDK version
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- CPU frequency
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- Flash chip size
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- API endpoint registry
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### WiFi Fallback
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The system includes automatic WiFi fallback:
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1. Attempts to connect to configured WiFi network
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2. If connection fails, creates an access point
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3. Hostname is automatically generated from MAC address
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## Current Limitations
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- WiFi credentials are hardcoded in `Config.cpp` (should be configurable)
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- Limited error handling for network failures
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- No persistent storage for configuration
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- Basic health monitoring without advanced metrics
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## Troubleshooting
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### Common Issues
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1. **Discovery Failures**: Check UDP port 4210 is not blocked
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2. **WiFi Connection**: Verify SSID/password in Config.cpp
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3. **OTA Updates**: Ensure sufficient flash space (1MB minimum)
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4. **Cluster Split**: Check network connectivity between nodes
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### Debug Output
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Enable serial monitoring to see cluster activity:
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```bash
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pio device monitor
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```
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## Contributing
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1. Fork the repository
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2. Create a feature branch
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3. Make your changes
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4. Test thoroughly on ESP8266 hardware
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5. Submit a pull request
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## License
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[Add your license information here]
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## Acknowledgments
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- Built with [PlatformIO](https://platformio.org/)
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- Uses [TaskScheduler](https://github.com/arkhipenko/TaskScheduler) for cooperative multitasking
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- [ESPAsyncWebServer](https://github.com/me-no-dev/ESPAsyncWebServer) for HTTP API
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- [ArduinoJson](https://arduinojson.org/) for JSON processing |