https://github.com/asherk7/workout-tracker

Created a workout tracker app using Django and Angular, as well as a CI/CD pipeline with Jenkins
https://github.com/asherk7/workout-tracker

angular django gunicorn-web-server jenkins linux sqlite

Last synced: 10 months ago
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Created a workout tracker app using Django and Angular, as well as a CI/CD pipeline with Jenkins

• Host: GitHub
• URL: https://github.com/asherk7/workout-tracker
• Owner: asherk7
• License: mit
• Created: 2023-05-12T05:22:14.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-05-20T02:38:19.000Z (over 2 years ago)
• Last Synced: 2025-02-11T09:54:08.481Z (12 months ago)
• Topics: angular, django, gunicorn-web-server, jenkins, linux, sqlite
• Language: TypeScript
• Homepage:
• Size: 91.7 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Workout-Tracker

Technologies: ![DjangoREST](https://img.shields.io/badge/DJANGO-REST-ff1709?style=for-the-badge&logo=django&logoColor=white&color=ff1709&labelColor=gray) ![Django](https://img.shields.io/badge/django-%23092E20.svg?style=for-the-badge&logo=django&logoColor=white) ![Angular](https://img.shields.io/badge/angular-%23DD0031.svg?style=for-the-badge&logo=angular&logoColor=white) ![Jenkins](https://img.shields.io/badge/jenkins-%232C5263.svg?style=for-the-badge&logo=jenkins&logoColor=white) ![SQLite](https://img.shields.io/badge/sqlite-%2307405e.svg?style=for-the-badge&logo=sqlite&logoColor=white) ![Bootstrap](https://img.shields.io/badge/bootstrap-%23563D7C.svg?style=for-the-badge&logo=bootstrap&logoColor=white)  

* Built a website that can be used to track workouts and personal bests, and can also provide good workout splits and exercises for certain muscle groups  

* Created the website by connecting the Django backend with the Angular frontend  

* Created a CI/CD pipeline using jenkins on a LINUX environment  

* Utilized Nginx to increase the perfomance on the webserver  

* Used gunicorn for increasing the processing speed and running the pipeline through the gunicorn server  

* Utilized gunicorn and nginx for the jenkins pipeline for migrations, file collection, and reverse proxy  

* Used an API from https://api-ninjas.com/api/exercises  

### Checking the jenkins CI/CD pipeline

1. Install Jenkins

    ```sh

    wget -q -O - https://jenkins-ci.org/debian/jenkins-ci.org.key | sudo apt-key add -

    sudo sh -c 'echo deb http://pkg.jenkins-ci.org/debian binary/ > /etc/apt/sources.list.d/jenkins.list'

    sudo apt-get update

    sudo apt-get install jenkins

    ```

2. Create the jenkins server

    ```sh

    sudo systemctl daemon-reload

    sudo systemctl start jenkins

    sudo systemctl start nginx

    ```

3. Make sure the server is running

    ```sh

    sudo systemctl status jenkins

    ```

4. Go to http://localhost:8080 and check the pipeline, to turn it off, run

    ```sh

    sudo systemctl stop jenkins

    sudo systemctl stop nginx

    ```

### Installation and Running

 

1. Clone the repo

   ```sh

   git clone https://github.com/asherk7/Workout-Tracker.git

   ```

2. Install the requirements

    ```sh

    pip install -r requirements.txt

    ```

3. Run the server

   ```sh

   #In the Workout-Tracker directory, on a terminal

   

   cd DjangoAPI

   python manage.py runserver

   

   #In a different terminal

   cd Angular

   ng serve 

   ```

4. Open the Angular localhost server