lermit / api-learn-app

A simple website for leaning REST API usage.

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POCKOST Monitoring

A simple monitoring project

Built with Cookiecutter Django

Settings

Moved to settings.

Basic Commands

Setting Up Your Users

  • To create a normal user account, just go to Sign Up and fill out the form. Once you submit it, you'll see a "Verify Your E-mail Address" page. Go to your console to see a simulated email verification message. Copy the link into your browser. Now the user's email should be verified and ready to go.

  • To create an superuser account, use this command:

    $ python manage.py createsuperuser
    

For convenience, you can keep your normal user logged in on Chrome and your superuser logged in on Firefox (or similar), so that you can see how the site behaves for both kinds of users.

Type checks

Running type checks with mypy:

$ mypy pockost_monitoring

Test coverage

To run the tests, check your test coverage, and generate an HTML coverage report:

$ coverage run -m pytest
$ coverage html
$ open htmlcov/index.html

Running tests with py.test

$ pytest

Live reloading and Sass CSS compilation

Moved to Live reloading and SASS compilation.

Create a new app

Using the startapp tash will not work due to the project structure. In order to create an app you have to

1 - create the <name-of-the-app> app with python manage.py startapp 2 - move <name-of-the-app> directory to <project_slug> directory 3 - edit <project_slug>/<name-of-the-app>/apps.py and change name = "<name-of-the-app>" to name = "<project_slug>.<name-of-the-app>" 4 - add "<project_slug>.<name-of-the-app>.apps.<NameOfTheAppConfigClass>", on your LOCAL_APPS on config/settings/base.py

For more information see : cookiecutter/cookiecutter-django#1725

Execute manage.py with docker

Using docker exec will not work because of the method used to load configuration with env var. You have to create a new container to do that.

$ docker-compose -f local.yml run -u $( id -u ) --rm django python manage.py <task>

Celery

This app comes with Celery.

To run a celery worker:

cd pockost_monitoring
celery -A pockost_monitoring.taskapp worker -l info

Please note: For Celery's import magic to work, it is important where the celery commands are run. If you are in the same folder with manage.py, you should be right.

Email Server

In development, it is often nice to be able to see emails that are being sent from your application. For that reason local SMTP server MailHog with a web interface is available as docker container.

Container mailhog will start automatically when you will run all docker containers. Please check cookiecutter-django Docker documentation for more details how to start all containers.

With MailHog running, to view messages that are sent by your application, open your browser and go to http://127.0.0.1:8025

Deployment

The following details how to deploy this application.

Docker

See detailed cookiecutter-django Docker documentation.

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A simple website for leaning REST API usage.


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