public-health-ch/README.md

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Public Health Schweiz
=====================
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New website of the [Swiss Society for Public Health](http://public-health.ch), developed by [datalets,ch](http://datalets.ch) using the open source, [Django](https://www.djangoproject.com/)-based [Wagtail CMS](http://wagtail.io). The frontend has been implemented by [moving water](http://www.movingwater.ch/) using [Bootstrap](https://getbootstrap.com) framework.
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This project is open source under the [MIT License](LICENSE.md).
[![Dependency Status](https://dependencyci.com/github/datalets/public-health-ch/badge)](https://dependencyci.com/github/datalets/public-health-ch)
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## Development environment
The easiest way to set up your machine would be to use [Vagrant](https://vagrantup.com), then in the project folder in the terminal type: `vagrant liverun`.
To set up a full development environment, follow all these instructions.
**Frontend setup**
You will need to have Ruby and SASS installed on your system, e.g.:
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```
sudo yum install rubygem-sass
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```
Make sure a recent version of node.js (we recommend using [nave.sh](https://github.com/isaacs/nave)), then:
```
npm install -g bower grunt-cli
npm install
bower install
```
The first command (`..install -g..`) may require `sudo` if you installed node.js as a system package.
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If you are only working on the frontend, you can start a local webserver and work on frontend assets without the backend setup described below. Mock content is at `mockup`, and there is a `grunt browser-sync` setup for working with frontend assets.
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**Backend setup**
After installing Python 3, from the project folder, deploy system packages and create a virtual environment as detailed (for Ubuntu users) below:
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```
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sudo apt-get install python3-venv python3-dev libjpeg-dev
pyvenv env
. env/bin/activate
pip install -U pip
pip install -r requirements.txt
./manage.py migrate
./manage.py createsuperuser
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```
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You will be asked a few questions to create an administrator account.
**Starting up**
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If you have one installed, also start your local redis server (`service redis start`).
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Run this after completing setup:
```
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./manage.py runserver
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```
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A default browser should open pointing to the default home page.
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Now access the admin panel with the user account you created earlier: http://localhost:8000/admin/
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## Troubleshooting
- Issues with migrating database tables in SQLite during development? Try `./manage.py migrate --fake`
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## Production notes
We use [Ansible](https://www.ansible.com) and [Docker Compose](https://docs.docker.com/compose/reference/overview/) for automated deployment.
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To use Docker Compose to deploy the site, copy `ansible/roles/web/templates/docker-compose.j2` to `/docker-compose.yml` and fill in all `{{ variables }}`. This is done automatically in Ansible.
To do production deployments, you need to obtain SSH and vault keys from your system administrator (who has followed the Ansible guide to set up a vault..), and place these in a `.keys` folder - then to deploy a site:
```
ansible-playbook -s ansible/<*.yaml> -i ansible/inventories/production
```
We use a StackScript to deploy to Linode, the basic system set up is to have a user in the sudoers and docker group, and a few basic system packages ready.
For example, on Ubuntu:
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```
apt-get install -q -y zip git nginx python-virtualenv python-dev
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```
The order of deployment is:
- docker.yaml (base system)
- node.yaml
- site.yaml
- harden.yaml
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For further deployment and system maintenance we have a `Makefile` which automates Docker Compose tasks. This should be converted to use [Ansible Container](http://docs.ansible.com/ansible-container/getting_started.html). In the meantime, start a release with Ansible, then complete it using `make`, i.e.:
```
ansible-playbook -s ansible/site.yaml -i ansible/inventories/production --tags release
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ssh -i .keys/ansible.pem ansible@<server-ip> "cd <release_dir> && make release"
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```