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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@@ -29,8 +29,11 @@ export default function AiStudyCoach() {
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suggestMutation.mutate();
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};
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const suggestions = suggestMutation.data?.suggestions ?? [];
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const planTips = suggestMutation.data?.study_plan_tips ?? [];
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const d = suggestMutation.data;
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const suggestions = d ? [d.suggestion, ...(d.focus_areas ?? []).map((a: string) => `Focus area: ${a}`)].filter(Boolean) : [];
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const planTips = d?.daily_plan?.length
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? d.daily_plan.map((p: { activity: string; duration_min: number; skill: string }) => `${p.activity} (${p.duration_min}min — ${p.skill})`)
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: d?.motivation ? [d.motivation] : [];
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return (
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<Card className="border-0 shadow-sm bg-primary/5">
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