https://github.com/sauberr/elearning_platform

https://github.com/sauberr/elearning_platform

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/sauberr/elearning_platform
• Owner: Sauberr
• License: mit
• Created: 2023-11-13T09:54:06.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2024-02-01T21:09:09.000Z (11 months ago)
• Last Synced: 2024-02-02T22:41:42.600Z (11 months ago)
• Language: Python
• Size: 23.8 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# eLearning Platform

The project for study Django.

#### Stack:

- [Python](https://www.python.org/downloads/)

- [PostgreSQL](https://www.postgresql.org/)

- [Redis](https://redis.io/)

- [Docker](https://www.docker.com/)

## Local Developing

All actions should be executed from the source directory of the project and only after installing all requirements.

1. Firstly, create and activate a new virtual environment:

   ```bash

   python3.11 -m venv ../venv

   source ../venv/bin/activate

   ```

   

2. Install packages:

   ```bash

   pip install --upgrade pip

   pip install -r requirements.txt

   ```

## Run application

The uvicorn web server is used to run Django. The command to run looks like this:

```

py manage.py runserver

```

It must be run on the command line, always being in the root directory of the project.

###Dockerfile

To run a web server (Django) inside a container, you need to uncomment the code inside the Dockerfile and have an already running PostgreSQL instance on your machine.

Code to run Dockerfile:

```

docker build .

```

The command is also run from the root directory where the Dockerfile resides.

### Docker compose

To start all services (DB, Redis, web server (Django), Celery, Flower, Grafana, Prometheus), you need to use the docker-compose.yml file and the commands

```

docker compose build

docker compose up

```

Moreover, the `build` command needs to be run only if you changed something inside the Dockerfile, that is, you changed the logic for compiling the image.