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If you have scheduled and then cancelled jobs this would be enough to show the jobs block on the dashboard (in otherwords it wasn’t filtering out cancelled jobs). However the contents of the table _were_ filtering out cancelled jobs, so the table would be empty and look broken. This commit changes the conditional to operate on the `list` of jobs with cancelled ones filtered out.
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notifications-admin
GOV.UK Notify admin application.
Features of this application
- Register and manage users
- Create and manage services
- Send batch emails and SMS by uploading a CSV
- Show history of notifications
First-time setup
Languages needed
- Python 3.4
- Node 5.0.0 or greater
brew install node
NPM is Node's package management tool. n is a tool for managing
different versions of Node. The following installs n and uses the latest
version of Node.
npm install -g n
n latest
npm rebuild node-sass
The app runs within a virtual environment. We use mkvirtualenv for easier working with venvs
pip install virtualenvwrapper
mkvirtualenv -p /usr/local/bin/python3 notifications-admin
Install dependencies and build the frontend assets:
workon notifications-admin
./scripts/bootstrap.sh
Rebuilding the frontend assets
If you want the front end assets to re-compile on changes, leave this running in a separate terminal from the app
npm run watch
Create a local environment.sh file containing the following:
echo "
export NOTIFY_ENVIRONMENT='development'
export ADMIN_CLIENT_SECRET='dev-notify-secret-key'
export ADMIN_CLIENT_USER_NAME='dev-notify-admin'
export API_HOST_NAME='http://localhost:6011'
export DANGEROUS_SALT='dev-notify-salt'
export SECRET_KEY='dev-notify-secret-key'
export DESKPRO_API_HOST=""
export DESKPRO_API_KEY=""
export DESKPRO_DEPT_ID=""
export DESKPRO_ASSIGNED_AGENT_TEAM_ID=""
"> environment.sh
AWS credentials
Your aws credentials should be stored in a folder located at ~/.aws. Follow Amazon's instructions for storing them correctly
Running the application
workon notifications-admin
./scripts/run_app.sh
Then visit localhost:6012
Description
Languages
Python
69.3%
HTML
16.6%
JavaScript
11.1%
SCSS
0.9%
Nunjucks
0.7%
Other
1.4%