https://github.com/abinba/rpi-project

RPi (Raspberry Pi) study project to send temperature, pressure and humidity to Grafana.
https://github.com/abinba/rpi-project

chatgpt docker-compose grafana openai python rpi

Last synced: about 3 hours ago
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RPi (Raspberry Pi) study project to send temperature, pressure and humidity to Grafana.

• Host: GitHub
• URL: https://github.com/abinba/rpi-project
• Owner: abinba
• Created: 2023-01-26T18:28:57.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-01-26T23:54:58.000Z (almost 2 years ago)
• Last Synced: 2023-03-09T02:28:31.603Z (over 1 year ago)
• Topics: chatgpt, docker-compose, grafana, openai, python, rpi
• Language: Python
• Homepage:
• Size: 7.81 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Raspberry PI Study Project

## Overview

This study project (Introduction to IoT) reads sensor data from a Raspberry Pi (RPi) 

and sends it to an InfluxDB database. The data is then displayed on a Grafana dashboard and 

analyzed by a ChatGPT AI to provide a status on the current 

conditions and potentially give advice on what actions to take.

## Setup

- Install the necessary libraries by running `pip install -r requirements.txt`.

- In order to run InfluxDB and Grafana use `docker-compose up -d`.

- Run the script `main.py` to start collecting sensor data and sending it to the InfluxDB.

## Dependencies

- Python 3

- InfluxDB 1.6

- Grafana

- ChatGPT AI

- BME280 sensor for temperature, pressure, and humidity readings

## Usage

The script `main.py` is the main entry point of the program. 

It initializes the BME280 sensor, InfluxDB, and ChatGPT AI, and then enters a 

loop to read sensor data, send it to InfluxDB, and use ChatGPT to analyze the 

data and provide a status on the current conditions. The script also sends the 

conditions status to the user via the `send_message` function to Telegram. The loop is set to 

run every 5 seconds but can be adjusted as needed.