quantified-self-app

Description

The quantified self movement is a movement that seeks to use technology to track and improve our lives. This app is a tool built to help me track data form the many areas of my life where I currently collect data.

Installation

To install and set up the quantified-self-app, follow these steps:

1. Clone the Repository: Open your terminal and run the following command to clone the repository:

   git clone https://github.com/yourusername/quantified-self-app.git

2. Navigate to the Project Directory: Change into the project directory:

   cd quantified-self-app

3. Install Dependencies: Make sure you have Node.js installed. Then, install the necessary dependencies:

   npm install

4. Set Up Environment Variables: Create a .env file in the root directory and add your environment variables. For example:

   DATABASE_URL=your_database_url
   API_KEY=your_api_key
   

5. Run the Application: Start the application using:

   npm start

6. Access the Application: Open your web browser and go to http://localhost:3000 to access the app.

7. Optional - Run Tests: If you want to run tests, use:

   npm test

Make sure to replace placeholders like yourusername, your_database_url, and your_api_key with actual values specific to your setup.

Usage

Once you have installed and set up the quantified-self-app, you can start using it to track and analyze your data. Here are some examples of how to use the app:

1. Running the Dashboard:

   • After starting the application, open your web browser and navigate to http://localhost:8051.
   • You will see a dashboard with various tabs such as "OVR Data", "Physical Activity", "Books Read", etc.
   • Click on each tab to explore different visualizations and insights about your data.

2. Fetching WHOOP Data:

   • The app can fetch daily data from the WHOOP API. Ensure your WHOOP credentials are set in the .env file.
   • Run the script to authenticate and fetch data:

     python Scripts/whoop_data_pull.py

   • This will store the data in your PostgreSQL database.

3. Fetching Strava Data:

   • Similarly, you can fetch activity data from Strava. Ensure your Strava credentials are set in the .env file.
   • Run the script to refresh tokens and fetch activities:

     python Scripts/strava_data_pull.py

   • The data will be appended to the strava_activities table in your database.

4. Customizing Visualizations:

   • You can modify the scripts in the Scripts directory to customize the data visualizations according to your needs.
   • For instance, adjust the plots in Scripts/app.py to change how data is displayed on the dashboard.

These examples should help you get started with using the quantified-self-app. Feel free to explore and modify the code to suit your personal tracking needs.