Project File Documentation

1. can_commands.py

• Purpose: Manages CAN bus communication for device interaction.
• Key Functions: Sends CAN messages with specific commands and data.
• Integration: Used by various modules for hardware control.

2. chilibot.sqlite

• Purpose: Stores sensor data and command logs.
• Tables: sensor_values and command_log.
• Integration: Accessed by scripts for data storage and retrieval.

3. dashboard.py

• Purpose: User interface for system monitoring and control.
• Integration: Displays data from the database; may send control commands.

4. db.py

• Purpose: Handles database operations.
• Functionality: Creates and manages the database schema.
• Integration: Central to data storage and management.

5. main.py

• Purpose: Entry point of the application.
• Functionality: Starts sensor scheduler and manages scheduled tasks.

6. pump_valve_scheduler.py

• Purpose: Schedules and controls pump and valve operations.
• Functionality: Operates the pump and valve based on a set schedule.
• Integration: Uses can_commands for hardware control; schedule for timing.

7. sensor_scheduler.py

• Purpose: Regularly schedules sensor readings.
• Functionality: Reads various sensors and saves data to the database.
• Integration: Relies on can_commands for sensor data and db for data storage.

8. grow_light_scheduler.py

• Purpose: Manages scheduling for grow lights.
• Functionality: Turns grow lights on and off at specified times.
• Integration: Utilizes can_commands for controlling grow lights; schedule for timing.

How They Work Together

• Sensors and actuators are controlled via can_commands.py.
• chilibot.sqlite serves as the central data repository.
• dashboard.py provides a user interface for real-time monitoring and control.
• db.py manages data storage and retrieval operations.
• main.py orchestrates the operation of the entire system, including scheduling tasks.
• Scheduling scripts (pump_valve_scheduler.py, sensor_scheduler.py, grow_light_scheduler.py) automate various system operations based on set schedules.