feat: add student tiles to dashboard - #1833
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Japrolol merged 8 commits intoAug 7, 2026
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pz_feat_1717_add_dashboard_admin_tiles
August 4, 2026 14:04
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Generated api client is missing new methods, practice-session table is missing rls, getStudentDashboardSummary will crash the app in scenarios with more data. Practice retry/generation is not idempotent and separation of concerns is weak.
Let's fix all that
| ), | ||
| type: sql<AiMentorType>`${aiMentorLessons.type}`, | ||
| name: this.localizationService.getLocalizedSqlField(aiMentorLessons.name, language), | ||
| title: sql<string>`COALESCE( |
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Why give these repository methods more to do? Since practice sessions work separately, can we use separate "entrypoints"
| currentUser.userId, | ||
| practiceDate, | ||
| ); | ||
| if (!existing) throw new ConflictException("AI Mentor practice already exists"); |
| currentUser: CurrentUserType, | ||
| ): Promise<AiMentorPracticeSessionResponse> { | ||
| const session = await this.aiRepository.findPracticeSessionById(sessionId); | ||
| if (!session) throw new NotFoundException("AI Mentor practice not found"); |
| const session = await this.aiRepository.findPracticeSessionById(sessionId); | ||
| if (!session) throw new NotFoundException("AI Mentor practice not found"); | ||
| if (session.userId !== currentUser.userId) | ||
| throw new ForbiddenException("You don't have access to this AI Mentor practice"); |
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translations in entire file
| }); | ||
| const { generateObject, jsonSchema } = await loadAiSdk(); | ||
| const openai = await this.aiRuntimeService.getAISdkOpenAI(); | ||
| const { object } = await generateObject({ |
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Let's add fallback to luma service
| ); | ||
| } | ||
|
|
||
| if (practice.status === "queued" || practice.status === "processing") { |
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Too much is happening in one file, extract
| const containerRef = useRef<HTMLDivElement>(null); | ||
| const transport = useMemo(() => createAiMentorChatTransport(threadId), [threadId]); | ||
| const { messages, setMessages, sendMessage, status } = useChat({ transport }); | ||
| const isProcessing = status === "submitted" || status === "streaming"; |
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I know this status comes from ai-sdk, but can we use enum for it and use it in other places where we have ai chat too?
| const { data, isLoading, isError, refetch } = useStudentDashboardSummary(); | ||
| const metadata = DASHBOARD_WIDGET_REGISTRY[DASHBOARD_WIDGET_IDS.STUDENT_REQUIRED_COURSE]; | ||
| const courses = data?.requiredCourses ?? []; | ||
| const overdueCount = courses.filter((course) => course.urgency === "overdue").length; |
| "border-error-100 bg-error-50 hover:border-error-300 focus-visible:ring-error-300": | ||
| course.urgency === "overdue", | ||
| "border-warning-100 bg-warning-50 hover:border-warning-300 focus-visible:ring-warning-300": | ||
| course.urgency === "dueSoon", |
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Issue(s)
Overview
Student Dashboard Tiles turn the Mentingo home page into a personalized learning action center. Learners can quickly continue active courses, review mandatory training, track completion, access certificates, and start daily AI Mentor practice.
Business Value
The feature reduces navigation, highlights urgent learning, and makes progress and achievements more visible. It supports higher engagement, better compliance follow-through, and a more consistent learner experience without additional administrative effort.
Screenshots / Video