feat: Generation Page AI workflows + AI/Vector modules + exam session fixes
Generation Page (complete rebuild): - Full production-parity exam generation wizard with 4 IELTS modules - Reading: AI passage gen, 5 exercise types (MCQ, Fill, Write, T/F, Match) - Listening: 4 section types, AI context gen, TTS audio gen (ElevenLabs) - Writing: Task 1/2, AI instruction gen, word limits, marks - Speaking: 3 parts, AI script gen, avatar video gen (7 avatars) - Per-module config: timer, CEFR difficulty, access, approval, rubrics - Exam submission workflow (draft/published) Exam Structures: - New encoach.exam.structure model + CRUD controller - ExamStructuresPage wired to real API AI Module (encoach_ai): - OpenAI service, ElevenLabs TTS, AWS Polly, ELAI avatars - AI settings model with Odoo config parameters - 7 generation endpoints (passage, exercises, instructions, scripts, context) Vector Module (encoach_vector): - pgvector integration for RAG-based content search - Embedding service with sentence-transformers Exam Session Fixes: - Fixed ExamSession.tsx field mapping (question_type→type, exam_title→title) - Fixed submit payload to include attempt_id and answers - Fixed normalizeType to handle null/undefined Tested: 12/12 API tests passed, browser-verified with real OpenAI calls Made-with: Cursor
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@@ -141,7 +141,7 @@ export default function AiEnglishCourse() {
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.filter(Boolean)
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: course?.learning_style ?? ["visual"];
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createEnglish.mutate(
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{ current_level: course?.current_level ?? "B1", target_level: tgt, learning_style: styles },
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{ cefr_level: tgt || course?.current_level || "B1" },
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{
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onSuccess: () => {
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qc.invalidateQueries({ queryKey: queryKeys.aiCourse.course(courseId) });
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@@ -166,9 +166,8 @@ export default function AiIeltsCourse() {
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const band = Number(targetBand || course?.target_level || 7);
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createIelts.mutate(
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{
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exam_type: course?.exam_type ?? "academic",
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skill: skillsRanked[0]?.skill ?? "writing",
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target_band: Number.isFinite(band) ? band : 7,
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skills: skillsRanked.map((s) => s.skill),
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},
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{
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onSuccess: () => {
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@@ -22,8 +22,8 @@ import { ScrollArea } from "@/components/ui/scroll-area";
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import { Flag, ChevronLeft, ChevronRight, Pause, Play } from "lucide-react";
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import { cn } from "@/lib/utils";
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function normalizeType(t: string) {
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return t.toLowerCase().replace(/\s+/g, "_");
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function normalizeType(t: string | null | undefined) {
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return (t ?? "").toLowerCase().replace(/\s+/g, "_");
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}
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function countWords(s: string) {
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@@ -49,10 +49,26 @@ export default function ExamSession() {
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const { examId: examIdParam } = useParams();
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const examId = Number(examIdParam);
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const navigate = useNavigate();
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const { data: session, isLoading, isError } = useExamSession(examId);
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const { data: rawSession, isLoading, isError } = useExamSession(examId);
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const autoSave = useExamAutoSave();
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const submitMut = useExamSubmit();
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const session = useMemo(() => {
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if (!rawSession) return rawSession;
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const raw = rawSession as any;
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return {
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...raw,
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title: raw.title || raw.exam_title || "",
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sections: (raw.sections || []).map((s: any) => ({
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...s,
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questions: (s.questions || []).map((q: any) => ({
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...q,
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type: q.type || q.question_type || q.skill || "",
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})),
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})),
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} as typeof rawSession;
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}, [rawSession]);
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const [sectionIdx, setSectionIdx] = useState(0);
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const [questionIdx, setQuestionIdx] = useState(0);
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const [answers, setAnswers] = useState<Map<number, ExamAnswer>>(new Map());
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@@ -121,10 +137,11 @@ export default function ExamSession() {
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useEffect(() => {
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if (!session || !section) return;
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const attemptId = (session as any)?.attempt_id;
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const id = window.setInterval(() => {
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autoSave.mutate({
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examId,
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payload: { section_id: section.id, answers: currentSectionAnswers() },
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payload: { attempt_id: attemptId, section_id: section.id, answers: currentSectionAnswers() },
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});
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}, 10000);
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return () => window.clearInterval(id);
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@@ -439,12 +456,20 @@ export default function ExamSession() {
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<Button
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type="button"
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onClick={() => {
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submitMut.mutate(examId, {
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onSuccess: () => {
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setReviewOpen(false);
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navigate(`/student/exam/${examId}/status`);
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const attemptId = (session as any)?.attempt_id;
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const allAnswers = Array.from(answers.entries()).map(([qId, a]) => ({
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question_id: qId,
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answer: a.answer ?? "",
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}));
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submitMut.mutate(
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{ examId, attempt_id: attemptId, answers: allAnswers },
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{
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onSuccess: () => {
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setReviewOpen(false);
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navigate(`/student/exam/${examId}/status`);
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},
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},
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});
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);
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}}
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disabled={submitMut.isPending}
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>
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@@ -29,7 +29,7 @@ export default function StudentGrades() {
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<p className="text-muted-foreground">Track your academic performance.</p>
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</div>
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<AiReportNarrative narrative={`Your average grade is ${avgGrade}%. Your strongest area is essay writing with consistent scores above 80%. Focus on improving speaking scores — your last mock test scored 72%, which is below your average. AI recommends practicing with the IELTS Speaking Masterclass materials.`} />
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<AiReportNarrative report_type="grades" data={{ avgGrade, highest, count: gradeRecords.length }} />
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<div className="grid grid-cols-1 sm:grid-cols-3 gap-4">
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<Card><CardContent className="pt-6 text-center"><p className="text-sm text-muted-foreground">Average</p><p className="text-3xl font-bold text-primary">{avgGrade}%</p></CardContent></Card>
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