Skip to main content

The core module of the Espark ESP32-based IoT device management framework.

Project description

Espark

Espark is a lightweight framework for building scalable and efficient ESP32-based IoT applications. It provides a modular architecture, easy-to-use APIs, and built-in support for common IoT protocols.

Project Goals

  • Simplify the development of ESP32 applications.
  • Provide a modular and extensible architecture.
  • Support common IoT protocols like MQTT.
  • Ensure efficient resource management for low-power devices.
  • Provide a clean and easy-to-use API.
  • Provide an user-friendly UI for configuration and monitoring.

Features

  • Device Provisioning: Easy setup and configuration of ESP32 devices.
  • Telemetry Collection: Built-in support for collecting and sending telemetry data.
  • Scalable Architecture: Designed to handle a large number of devices efficiently.
  • Seamless Communication: Support for MQTT protocol.

Hardware Requirements

  • ESP32 Development Board
  • USB Cable for programming and power
  • Optional: Sensors and triggers for specific applications

Project Structure

espark/
├── espark-core/
│   ├── esparkcore/      # FastAPI backend framework
│   │   ├── data/              # Models, repositories
│   │   ├── routers/           # API endpoints
│   │   ├── schedules/         # Background tasks
│   │   ├── services/          # Business logic, MQTT handling
│   │   └── utils/             # Utility functions
│   └── Makefile
├── espark-node/
│   ├── esparknode/      # MicroPython application framework
│   │   ├── actions/           # Action handlers
│   │   ├── data/              # Data storage
│   │   ├── libraries/         # External libraries
│   │   ├── networks/          # Network management
│   │   ├── sensors/           # Sensor interfaces
│   │   ├── triggers/          # Trigger interfaces
│   │   ├── utils/             # Utility functions
│   │   └── base_node.py       # Main application file
│   └── Makefile
└── espark-react/        # React frontend application
    ├── src/
    │   ├── data/              # Data models and data providers
    │   ├── i18n/              # Internationalization files
    │   ├── pages/             # Application pages
    │   ├── routes/            # Application routing
    │   ├── utils/             # Utility functions
    │   ├── App.tsx            # Main application component
    │   └── index.tsx          # Application entry point
    └── package.json

Development Workflows

Setting up the backend

  1. Add espark-core as a dependency in your FastAPI project.
  2. Configure database connections and MQTT settings as environment variables.
  3. Implement additional data models, repositories, routers, and business logic if needed.
  4. Add the DeviceRouter, TelemetryRouter, and other additional routers to your FastAPI app.

Setting up the ESP32 application

  1. Clone the espark-node repository to your local machine.
  2. Copy espark-core/Makefile.template to Makefile and customize it for your device.
  3. Run make upgrade to copy the espark-core library to your device project.
  4. Implement device-specific actions, sensors, and triggers as needed.
  5. Run make flash to upload the firmware to your ESP32 device.
  6. Run make deploy to upload the application to the device.

Setting up the frontend

  1. Add espark-react as a dependency in your React project.
  2. Render <EsparkApp /> in your main application file.

Configurations

  • espark-core: Use environment variables, or .env file, for database and MQTT configurations.
  • espark-node: Use esparknode.configs for device-specific configurations.
  • espark-react: Customise EsparkApp props for application settings.

Examples and Patterns

  • Router Example: device_router.py in espark-core/esparkcore/routers/ demonstrates how to create API endpoints for device management.
  • Respository Example: device_repository.py in espark-core/esparkcore/data/repositories/ shows how to implement data access logic for devices.
  • Action Example: esp32_relay.py in espark-node/esparknode/actions/ illustrates how to define actions for ESP32 devices.
  • Sensor Example: sht20_sensor.py in espark-node/esparknode/sensors/ demonstrates how to read data from a SHT20 sensor.
  • Trigger Example: gpio_trigger.py in espark-node/esparknode/triggers/ shows how to create GPIO-based triggers for device actions.
  • List, Show, Edit Screens Example: DeviceList, DeviceShow, and DeviceEdit components in espark-react/src/pages/devices/ demonstrate how to create CRUD screens for device management.

Example Projects

  • Espartan: A smart thermostat and open-door alert automation system using ESP32-C3 devices, leveraging espark for device management and telemetry, available at https://github.com/ayltai/Espartan.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

espark_core-0.6.3.tar.gz (14.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

espark_core-0.6.3-py3-none-any.whl (23.8 kB view details)

Uploaded Python 3

File details

Details for the file espark_core-0.6.3.tar.gz.

File metadata

  • Download URL: espark_core-0.6.3.tar.gz
  • Upload date:
  • Size: 14.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for espark_core-0.6.3.tar.gz
Algorithm Hash digest
SHA256 78b13312aa46448ea51ba241a27786be9e0d1495352fa09228763d369fa1f2f3
MD5 761e2b0442e1d724a51ecb4e1776068c
BLAKE2b-256 5751db6df835508bc2b291d5802cf854d70f2c460c1dfe651873bee66a1f8211

See more details on using hashes here.

File details

Details for the file espark_core-0.6.3-py3-none-any.whl.

File metadata

  • Download URL: espark_core-0.6.3-py3-none-any.whl
  • Upload date:
  • Size: 23.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for espark_core-0.6.3-py3-none-any.whl
Algorithm Hash digest
SHA256 2ae7e9af30115b4b2be1a71a52cf5ca168c757e19bc9611ff483f94ee82ef67d
MD5 9b5f08ae8cfde875d01e189ad52c3809
BLAKE2b-256 3cbdde332aef73fa655ddb45be47a283a9a239a78424e3107171dc7f44021430

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page