Emotion Tracker

Emotion Tracker is a web application that allows users to track and analyze their emotions over time. Users can log in and record their emotions, including the intensity of the emotion, sub-emotions, and triggers that contributed to the emotion. They can also view their emotion history and analyze trends in their emotions over time.

Features

• User authentication: Users can log in and securely authenticate their identity using JWT tokens.
• Emotion recording: Users can record their emotions, including the intensity of the emotion, sub-emotions, and triggers that contributed to the emotion.
• Emotion history: Users can view a history of their recorded emotions.
• Trend analysis: Users can analyze trends in their emotions over time using charts and graphs.

Technology Stack

• Play Framework: A web application framework for the Scala programming language.
• MySQL: An open-source relational database management system.
• Anorm: A Scala library for interacting with relational databases.
• JWT: A JSON-based authentication protocol used to secure web applications.
• Angular: A TypeScript-based open-source web application framework.

Getting Started

Prerequisites

• JDK 11 or later
• sbt 1.5.5 or later
• MySQL 8.0 or later

Installation

npm install --save                                                                

1. Clone the repository: git clone https://github.com/<username>/emotion-tracker.git
2. Change into the project directory: cd emotion-tracker
3. Create the database using docker : docker compose up -d db
4. Set the database connection properties in conf/application.conf.
5. Start the application: sbt run

Usage

1. Navigate to http://localhost:4200 in a web browser.
2. Log in with your user credentials or sign up for a new account.
3. Record your emotions using the web interface.
4. View your emotion history and analyze trends over time.

Dev notes:

Run docker container with colima start

Performance Testing

1. Run the local server with sbt run
2. Run the performance test with sbt gatling:test

Contributing

Contributions to Emotion Tracker are welcome and encouraged! To contribute, please follow these steps:

1. Fork the repository on GitHub.
2. Create a new branch for your feature or bug fix.
3. Write tests for your changes to ensure that they don't break existing functionality.
4. Implement your feature or bug fix.
5. Push your changes to your fork.
6. Submit a pull request to the main repository.

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE.txt file for details.