mhuth / malware-detection-frontend

Frontend for the Insights Yara (aka: cautious-octo-garbanzo) Application

malware-detection-frontend

Malware Detection for Red Hat Insights products that includes Patternfly 4 and shared cloud.redhat.com utilities.

Getting Started

There is a comprehensive quick start guide in the Storybook Documentation to setting up an Insights environment complete with:

• Insights Chroming
• Insights Proxy

Note: You will need to set up the Insights environment if you want to develop with the malware-detection-frontend app due to the consumption of the chroming service as well as setting up your global/app navigation through the API

Developing

First time setup

1. Make sure you have Node.js and npm installed
2. Run script to patch your /etc/hosts
3. Make sure you are using Red Hat proxy
4. Clone this repository
5. Run npm install to install dependencies

Running the application

1. npm run start

   • starts webpack bundler and serves the files with webpack dev server

   OR

2. npm run start:beta

   • with CI beta env

3. visit https://prod.foo.redhat.com:1337/insights/malware/ OR https://prod.foo.redhat.com:1337/preview/insights/malware/ for beta env

Testing

• npm run verify will run linters and tests
• Travis is used to test the build for this code
  • You are always notified on failed builds
  • You are only notified on successful builds if the build before it failed
  • By default, both push events as well as pull_request events send notifications
  • Travis is defaulted to notify #insights-bots

Deploying

• The Platform team is using Travis to deploy the application
  • The Platform team will help you set up the Travis instance if this is the route you are wanting to take

Running locally

Have insights-proxy installed under PROXY_PATH (only necessary if your not using start:proxy)

SPANDX_CONFIG="./profiles/local-frontend.js" bash $PROXY_PATH/scripts/run.sh

Have yara-backend installed and run docker-compose up