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
This commit is contained in:
Yamen Ahmad
2026-04-11 14:27:03 +04:00
parent 5b2ccbfeec
commit 74c2c9f2d2
30 changed files with 378 additions and 187 deletions

View File

@@ -26,9 +26,8 @@ export default function AiGradingAssistant({
const gradeMutation = useMutation({
mutationFn: () =>
analyticsService.getGradingSuggestion({
submission_id: submissionId,
text: submissionText,
...(rubricId !== undefined ? { rubric_id: rubricId } : {}),
submission_text: submissionText,
skill: "writing",
}),
onError: (err: Error) => {
toast({
@@ -45,7 +44,7 @@ export default function AiGradingAssistant({
}, [submissionId, submissionText, rubricId]);
const data = gradeMutation.data;
const marks = data ? Math.round(data.overall_score) : 0;
const marks = data ? Math.round(data.overall_band * 100 / 9) : 0;
const feedbackBlock = data
? [
data.feedback,