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A tool for sending preformed tweets out on a timer.

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tweeter

A tool for sending preformed tweets out on a timer.

Built with Cookiecutter Django
License:MIT

Basic Setup

Step 1: Obtain Twitter API Keys

Step 2: Deploy to Heroku

Press the button!

Deploy

You will need to create an account if you don't have one already. Have your Consumer key/secret and Access token/secret from above handy. You will also need to provide a name and email address to serve as an admin for the app.

After deploying, you will need to follow up with a few commands using the Heroku Toolbelt:

heroku run --app YOURAPPNAME python manage.py createsuperuser
heroku addons:open scheduler --app YOURAPPNAME

Replace YOURAPPNAME above with your app name from Heroku.

This will open a page titled Schedule recurring tasks for your app. Click Add new job and paste the following in next to the $ symbol:

python manage.py tweet_next

You will also choose the frequency of posting here (Daily, Hourly, or every 10 minutes). If you need more granularity over the posting interval, see the advanced instructions below.

You are now ready to open your app and start adding tweets. You can access your app at yourappname.herokuapp.com or by running this command back in the prompt from earlier:

heroku open --app YOURAPPNAME

Advanced

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.

Test coverage

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

$ coverage run manage.py test
$ coverage html
$ open htmlcov/index.html
Running tests with py.test
$ py.test

Live reloading and Sass CSS compilation

Moved to Live reloading and SASS compilation.

Celery

This app comes with Celery.

To run a celery worker:

cd tweeter
celery -A tweeter.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.

Heroku

See detailed cookiecutter-django Heroku documentation.

Docker

See detailed cookiecutter-django Docker documentation.

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