Install Xpert chatbot from frontend-lib-learning-assistant.

package.json

@@ -33,6 +33,7 @@
     "@edx/frontend-component-footer": "12.0.0",
     "@edx/frontend-component-header": "4.0.0",
     "@edx/frontend-lib-special-exams": "2.20.1",
+    "@edx/frontend-lib-learning-assistant": "^1.4.0",
     "@edx/frontend-platform": "4.3.0",
     "@edx/paragon": "20.46.0",
     "@edx/react-unit-test-utils": "npm:@edx/react-unit-test-utils@1.5.3",

src/course-home/data/__snapshots__/redux.test.js.snap

@@ -18,6 +18,9 @@ Object {
     "sequenceMightBeUnit": false,
     "sequenceStatus": "loading",
   },
+  "learningAssistant": ObjectContaining {
+    "conversationId": Any<String>,
+  },
   "models": Object {
     "courseHomeMeta": Object {
       "course-v1:edX+DemoX+Demo_Course": Object {
@@ -336,6 +339,9 @@ Object {
     "sequenceMightBeUnit": false,
     "sequenceStatus": "loading",
   },
+  "learningAssistant": ObjectContaining {
+    "conversationId": Any<String>,
+  },
   "models": Object {
     "courseHomeMeta": Object {
       "course-v1:edX+DemoX+Demo_Course": Object {
@@ -532,6 +538,9 @@ Object {
     "sequenceMightBeUnit": false,
     "sequenceStatus": "loading",
   },
+  "learningAssistant": ObjectContaining {
+    "conversationId": Any<String>,
+  },
   "models": Object {
     "courseHomeMeta": Object {
       "course-v1:edX+DemoX+Demo_Course": Object {

src/course-home/data/redux.test.js

@@ -67,7 +67,14 @@ describe('Data layer integration tests', () => {
 
       const state = store.getState();
       expect(state.courseHome.courseStatus).toEqual('loaded');
-      expect(state).toMatchSnapshot();
+      expect(state).toMatchSnapshot({
+        // The Xpert chatbot (frontend-lib-learning-assistant) generates a unique UUID
+        // to keep track of conversations. This causes snapshots to fail, because this UUID
+        // is generated on each run of the snapshot. Instead, we use an asymmetric matcher here.
+        learningAssistant: expect.objectContaining({
+          conversationId: expect.any(String),
+        }),
+      });
     });
 
     it.each([401, 403, 404])(
@@ -111,7 +118,14 @@ describe('Data layer integration tests', () => {
 
       const state = store.getState();
       expect(state.courseHome.courseStatus).toEqual('loaded');
-      expect(state).toMatchSnapshot();
+      expect(state).toMatchSnapshot({
+        // The Xpert chatbot (frontend-lib-learning-assistant) generates a unique UUID
+        // to keep track of conversations. This causes snapshots to fail, because this UUID
+        // is generated on each run of the snapshot. Instead, we use an asymmetric matcher here.
+        learningAssistant: expect.objectContaining({
+          conversationId: expect.any(String),
+        }),
+      });
     });
 
     it.each([401, 403, 404])(
@@ -156,7 +170,14 @@ describe('Data layer integration tests', () => {
 
       const state = store.getState();
       expect(state.courseHome.courseStatus).toEqual('loaded');
-      expect(state).toMatchSnapshot();
+      expect(state).toMatchSnapshot({
+        // The Xpert chatbot (frontend-lib-learning-assistant) generates a unique UUID
+        // to keep track of conversations. This causes snapshots to fail, because this UUID
+        // is generated on each run of the snapshot. Instead, we use an asymmetric matcher here.
+        learningAssistant: expect.objectContaining({
+          conversationId: expect.any(String),
+        }),
+      });
     });
 
     it('Should handle the url including a targetUserId', async () => {

src/courseware/course/Course.jsx

@@ -10,11 +10,11 @@ import { AlertList } from '../../generic/user-messages';
 import Sequence from './sequence';
 
 import { CelebrationModal, shouldCelebrateOnSectionLoad, WeeklyGoalCelebrationModal } from './celebration';
+import Chat from './chat/Chat';
 import ContentTools from './content-tools';
 import CourseBreadcrumbs from './CourseBreadcrumbs';
 import SidebarProvider from './sidebar/SidebarContextProvider';
 import SidebarTriggers from './sidebar/SidebarTriggers';
-import ChatTrigger from './lti-modal/ChatTrigger';
 
 import { useModel } from '../../generic/model-store';
 import { getSessionStorage, setSessionStorage } from '../../data/sessionStorage';
@@ -93,10 +93,10 @@ const Course = ({
         />
         {shouldDisplayTriggers && (
           <>
-            <ChatTrigger
+            <Chat
+              enabled={course.learningAssistantEnabled}
               enrollmentMode={course.enrollmentMode}
               isStaff={isStaff}
-              launchUrl={course.learningAssistantLaunchUrl}
               courseId={courseId}
             />
             <SidebarTriggers />

src/courseware/course/chat/Chat.jsx

@@ -0,0 +1,55 @@
+import { createPortal } from 'react-dom';
+import PropTypes from 'prop-types';
+
+import { Xpert } from '@edx/frontend-lib-learning-assistant';
+import { injectIntl } from '@edx/frontend-platform/i18n';
+
+const Chat = ({
+  enabled,
+  enrollmentMode,
+  isStaff,
+  courseId,
+}) => {
+  const VERIFIED_MODES = [
+    'professional',
+    'verified',
+    'no-id-professional',
+    'credit',
+    'masters',
+    'executive-education',
+  ];
+
+  const isVerifiedEnrollmentMode = (
+    enrollmentMode !== null
+    && enrollmentMode !== undefined
+    && VERIFIED_MODES.some(mode => mode === enrollmentMode)
+  );
+
+  const shouldDisplayChat = (
+    enabled
+    && (isVerifiedEnrollmentMode || isStaff) // display only to non-audit or staff
+  );
+
+  return (
+    <>
+      {/* Use a portal to ensure that component overlay does not compete with learning MFE styles. */}
+      {shouldDisplayChat && (createPortal(
+        <Xpert courseId={courseId} />,
+        document.body,
+      ))}
+    </>
+  );
+};
+
+Chat.propTypes = {
+  isStaff: PropTypes.bool.isRequired,
+  enabled: PropTypes.bool.isRequired,
+  enrollmentMode: PropTypes.string,
+  courseId: PropTypes.string.isRequired,
+};
+
+Chat.defaultProps = {
+  enrollmentMode: null,
+};
+
+export default injectIntl(Chat);