b02ee8b6b7
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
18 lines
718 B
TypeScript
18 lines
718 B
TypeScript
import { api } from "@/lib/api-client";
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import type { ExamSession, ExamAutoSave, ExamSubmitResponse } from "@/types";
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import type { ApiSuccessResponse } from "@/types";
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export const examSessionService = {
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getSession: (examId: number) =>
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api.get<ExamSession>(`/exam/${examId}/session`),
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autoSave: (examId: number, data: ExamAutoSave) =>
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api.post<ApiSuccessResponse>(`/exam/${examId}/autosave`, data),
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submit: (examId: number, data?: { attempt_id: number; answers: { question_id: number; answer: unknown }[] }) =>
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api.post<ExamSubmitResponse>(`/exam/${examId}/submit`, data),
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getStatus: (examId: number) =>
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api.get<{ status: string; scores_available: boolean }>(`/exam/${examId}/status`),
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};
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