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Bacom

The Franklin based project for business.adobe.com. Based off of milo-college.

Contributing

Please carefully review the contributing doc before beginning development. Understanding the requirements will help facilitate a smooth contribution process.

Developing

  1. Install the Helix CLI: sudo npm install -g @adobe/helix-cli
  2. Run hlx up this repo's folder. (opens your browser at https://localhost:3000)
  3. Open this repo's folder in your favorite editor and start coding.

Husky Pre-Commit

  1. After pulling the main branch, make sure to run npm install to get the husky pre-commit package.
  2. Husky will run the linter and the test suite before your commit, and will not accept the commit if the either tool has errors or test failures.
  3. To bypass this, add the --no-verify flag after your commit message:
git commit -m "First" --no-verify

Testing Milo Changes on Bacom Pages

  1. Run 'hlx up' in this folder to ensure the bacom site is running locally.
  2. Make changes in milo, and then from the milo folder, run npm run libs.
  3. Milo will run at:
https://localhost:6456
  1. On your localhost:3000/ or the main-<project>-<owner> versions of your site, add the URL params: ?milolibs=local
  2. You should see milo changes occuring on bacom pages.
  3. When needing to test on a bacom page while making a PR for milo, add the URL params: ?milolibs=<name-of-milo-branch>to your test URLs.

Creating New Blocks

When creating new blocks, first vet any requirements/author-experience in milo-community. There may be a way to acheive your goals with what currently exists in milo.

Testing

npm run test

or:

npm run test:watch

This will give you several options to debug tests. Note: coverage may not be accurate.

Linting

To run the linter run:

npm run lint

To lint just js or css files, run

npm run lint:css

or:

npm run lint:js

If you need to lint just one file, you can run:

npx eslint file1.js

Logging

When logging do not use console but instead use window.lana.log, these logs will then be visible in Splunk. Use tags to help filter logs. Tags should have the severity, see below, and the module/block name. Tags should provide context, categorization, or help in filtering, etc.

Severity:

info = network issues or extra details to identify important information.
warn = authoring related mis-configurations or similar - this could lead to generating tickets.
error = actual error ( ex. cannot read Y of undefined ) - this could lead to generating tickets / CSOs depending on context.

Work with OPS to generate automatic tickets / CSOs, for example if an error causes the page or block not to render.

Example Logging:

window.lana.log('message', 'info, block-name');

More info: https://wiki.corp.adobe.com/display/WCMSOps/Best+Practices