This project is a microservice for integrating Google Fit data into your application. It allows you to retrieve and analyze fitness data such as steps, calories, and active minutes.

• Fetch step count from Google Fit
• Retrieve calories expended and active minutes data
• Dockerized for easy deployment

Before you begin, ensure you have met the following requirements:

• Python 3.8 or higher
• Docker installed on your machine
• Google Cloud account for setting up OAuth2 credentials

1. Clone the repository:

   git clone https://github.com/Krishpandya682/FitnessData.git
   cd FitnessData

2. Set up the virtual environment:

   python3 -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install dependencies:

   pip install -r requirements.txt

4. Download the Google OAuth2 credentials:

   • Set up OAuth2 credentials in the Google Cloud Console.
   • Download the credentials.json file and place it in the root directory of this project.

5. Run the application:

   python app.py

1. Build the Docker image:

   docker build -t fitness-data-service .

2. Run the Docker container:

   docker run -p 5002:5002 fitness-data-service

Once the service is running, you can interact with it via API endpoints. For example, to fetch step count data, send a GET request to:

GET http://localhost:5002/steps

You can use tools like Postman or curl to test the endpoints.

.
├── app.py                # Main application file
├── dockerfile            # Docker configuration
├── requirements.txt      # Python dependencies
├── .gitignore            # Files to ignore in Git
└── venv/                 # Virtual environment (not included in Git)