RaspberryPi
Code Explenation

🌱 Chilibot RaspberryPi Documentation 🤖

Overview

This documentation provides a detailed overview of the Chilibot project's code structure and functionality. The project comprises several Python modules, each handling specific tasks in the automated gardening system.

🗂️ File Structure

  1. grow_light_scheduler.py 🌟

    • Manages the scheduling for the grow light.
    • Contains functions to turn the light on and off based on predefined schedules.

  2. pump_valve_scheduler.py 💧

    • Handles the scheduling for the water pump and solenoid valve.
    • Includes functions to activate or deactivate the water systems at specific times.

  3. sensor_scheduler.py 🌡️

    • Responsible for collecting and processing data from various sensors.
    • Schedules periodic sensor readings and data logging.

  4. can_commands.py 🚌

    • Contains definitions and functions for CAN bus communication.
    • Facilitates sending and receiving CAN messages to/from various components.

  5. dashboard.py 📊

    • Implements the main user interface for the system, this is the home page of the user interface.
    • Displays real-time data, logs, and controls for the system.

  6. db.py 📚

    • Manages database interactions.
    • Stores, retrieves, and manages data like sensor readings and system states.

  7. start.py 🚀

    • Main entry point for the application.
    • Initializes and starts all services, schedulers, and the dashboard.

🏁 Getting Started

To get the system up and running:

  1. activate the environment by running source env/bin/activate
  2. Ensure all dependencies are installed.
  3. Run start.py to initialize and start all components of the Chilibot system.
  4. Access the dashboard located at http://192.168.2.5:8501/` to monitor and control the system.

🛠️ Customization and Expansion

  • Modify the scheduler files (grow_light_scheduler.py, pump_valve_scheduler.py, sensor_scheduler.py) to change the timing and logic of operations.
  • Update can_commands.py for changes in CAN communication protocols or message formats.
  • Enhance dashboard.py to add more features to the user interface.
  • Adjust db.py for any changes in data storage requirements or database schema.
EnvironmentEnvironment