2. Set up a new project¶
In this section we will create and deploy a new project in the Control Panel, then replicate it locally.
2.1. Set up a project in the Cloud¶
In the Divio Cloud Control Panel, create a new project.
For the purposes of this tutorial, select the following options for your project (other options can be left on their default settings):
- Project type:
Once the project has been created, deploy the Test server, and then login to the admin.
By logging in, you will add your 3. Divio Cloud single-sign-on user to the project’s database, and will be able to log in to the site locally without having to add the new user to the database manually.
You’ll see a familiar Django admin for a new site.
2.2. Replicate it locally¶
Now let’s replicate this project locally.
List your cloud projects:
divio project list
Identify the slug of the project you created in the previous step, and use this
divio project setup command, for example:
divio project setup my-tutorial-project
You can find the exact command, and other useful commands, by selecting Local Development from the project’s menu in the Control Panel.
Various processes will unfold, taking a few minutes (see The project build process for a description of them).
cd into the newly-created project directory, where you will find a mostly-familiar Django project.
Start the project:
divio project up
divio project up will also open the project in a web browser once it’s up
If you didn’t previously log in to the Cloud site before setting up the project locally, you’ll need to add a user to the database before you can log in. The Divio Cloud SSO system allows you to do this from the Django login page.
2.3. Control your project and see its console¶
As you proceed through this tutorial, you will inevitably encounter the occasional issue. There are some commands that will help you when this happens.
You already know how to start your project with the
divio command (
project up, above). We’ll be introducing two new tools in this section:
This may seem a complex combination of commands, but through practice you will start to understand when and how to use each one. Try them now to become familiar with them.
Check what Docker processes are running:
➜ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAME d6007edbaf32 demoproject_web "/tini -g -- pytho..." 17 minutes ago Up 8 seconds 0.0.0.0:8000->80/tcp demoproject_web_ 27ff3e661027 postgres:9.4 "docker-entrypoint..." 6 days ago Up 8 seconds 5432/tcp demoproject_db_
Shut it down with
divio project stop, the opposite of
➜ divio project stop Stopping demoproject_web_1 ... done Stopping demoproject_db_1 ... done
docker ps should show that neither the
are running (see the Docker command reference for
more information using the Docker tool).
You can also start the project with the Docker Compose command, a command for working with projects (we will
specify that we want to bring up the
web service described in the project’s
The docker-compose.yml file file, which also launches the
➜ docker-compose up web Starting demoproject_db_1 Performing system checks... System check identified 1 issue (0 silenced). June 21, 2017 - 05:48:10 Django version 1.8.18, using settings 'settings' Starting development server at http://0.0.0.0:80/ Quit the server with CONTROL-C.
This is a good thing to do while developing, because it gives you the console output in your terminal, so you can see what’s going on.
When you stop it with
web service will stop, but the
db service will remain running. On the other hand, if you start the
docker-compose up, then when you stop it with
both containers will stop.
To make matters more complicated, under certain circumstances, the
container may continue running after exiting from the
web command. Invoking and exiting it again will usually stop it.
Now you can also run a command in a specific container, such as:
docker-compose run --rm --service-ports web bash
which will open
bash right in the
web container. (
--rm means remove
the container when exiting;
--service-ports tells it to expose the ports
listed in the
docker-compose.yml.) And you can run:
python manage.py runserver 0.0.0.0:80
at the container’s
bash prompt as another way of running the project and
getting the output.
CONTROL-C to stop the runserver and
CONTROL-D to exit the bash
shell and drop back into your own.