Omar Al-Ithawi 4158231d7a feat: use atlas in make pull_translations (#179)
Changes
-------
 - Bump frontend-platform to bring `intl-imports.js` script
 - Move all i18n imports into `src/i18n/index.js` so `intl-imports.js` can
   override it with latest translations
 - Add `atlas` into `make pull_translations` when `OPENEDX_ATLAS_PULL`
   environment variable is set.
 - package.json and package-lock.json are copied from https://github.com/openedx/frontend-app-ora-grading/pull/176
 - updated snapshots and updated tests in sync with `frontend-platform`
 - require package-lock.json version 3: same as https://github.com/openedx/frontend-app-ora-grading/pull/176

Refs: [FC-0012 project](https://openedx.atlassian.net/l/cp/XGS0iCcQ) implementing Translation Infrastructure OEP-58.
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frontend-app-ora-grading

The ORA Staff Grading App is a microfrontend (MFE) staff grading experience for Open Response Assessments (ORAs). This experience was designed to streamline the grading process and enable richer previews of submission content.

When enabled, ORAs with a staff grading step will link to this new MFE when clicking "Grade Available Responses" from the ORA or link in the instructor dashboard.

Quickstart

To start the MFE and enable the feature in LMS:

  1. Start the MFE with npm run start. Take a note of the path/port (defaults to http://localhost:1993).

  2. Add the route root to edx-platform settings: In edx-platform/lms/envs/private.py or similar, add ORA_GRADING_MICROFRONTEND_URL = 'http://localhost:1993'

  3. Enable the feature: In Django Admin go to django-waffle > Flags and add/enable a new flag called openresponseassessment.enhanced_staff_grader.

From there, visit the new experience by going to the Instructor Dashboard > Open Responses or an ORA with a Staff Graded Step and click a link to begin grading.

Resources

See the ORA Staff Grading section on ReadTheDocs for usage information.

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