IoT Project

This repository contains a Flask project that serves web pages to display sensor data from Firebase and a local database. The project also includes functionality to update the LED state in the local database.

Setup Instructions

1. Set up and run the Flask project

1. Clone the repository:

   git clone https://github.com/bacemhlabba/IoT-platform.git
   cd IoT-platform

2. Create a virtual environment and activate it:

   python3 -m venv venv
   source venv/bin/activate

3. Install the required dependencies:

   pip install -r requirements.txt

4. Run the Flask app:

   ./run.sh

2. Create and configure the Firebase project

1. Go to the Firebase Console and create a new project.

2. Add a new web app to the project and follow the instructions to register the app.

3. Download the firebase.json file from the Firebase Console and place it in the root directory of the project.

4. Update the file with the Firebase configuration details.

3. Set up the local database

1. Run the migration script to create the sensor_data table and insert initial data:

   python3 migrate.py

OR

   ./run.sh

4. Using Docker Compose

1. Make sure Docker and Docker Compose are installed on your machine.

2. Build and start the containers:

   docker-compose up --build

3. Open a web browser and go to http://127.0.0.1:5000/ to access the index page.

Running the App

1. Make sure the virtual environment is activated and the required dependencies are installed.

2. Run the Flask app:

   ./run.sh

3. Open a web browser and go to http://127.0.0.1:5000/ to access the index page.

4. Use the navigation links to go to Page 1 and Page 2 to view the sensor data and update the LED state.

Running Tests

After installing the dependencies, run the test suite using pytest:

pytest

Project Structure

IoT-platform/
├── app/
│   ├── static/
│   ├── templates/
│   ├── __init__.py
│   ├── routes.py
│   └── models.py
├── migrations/
├── screenshots/
├── venv/
├── .gitignore
├── docker-compose.yml
├── Dockerfile
├── firebase.json
├── migrate.py
├── README.md
├── requirements.txt
└── run.sh

Technologies Used

• Python
• Flask
• Firebase
• SQLite
• Docker
• Docker Compose
• HTML/CSS
• JavaScript

Contributing

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -m 'Add some feature').
5. Push to the branch (git push origin feature-branch).
6. Open a pull request.

Screenshots

Home Page

Page 1 - Firebase Data

Page 2 - Local Database Data

Submit Data to Firebase

Submit Data to SQLite

Popup for Sensor Data

LED State Update off

LED State Update on

Firebase Realtime

SQLite Tables