feat: QA fixes, new APIs (assignments, rubrics, custom exams), Generation page enhancements

- Fix ELAI video generation (correct render endpoint, script splitting for 60s limit)
- Fix speaking script generation error handling and empty response display
- Add custom exam list API (GET /api/exam/custom/list)
- Add assignments REST API (list, create, get)
- Add rubrics REST API (list, create)
- Enhance Generation page: dynamic exam structures, auto-module selection, preview dialog, audio player
- Improve submit feedback with exam ID and status in toast notifications
- Fix ExamsListPage to show both custom exams and exam sessions
- Connect RubricsPage to backend API with fallback data
- Add Dockerfile, docker-compose.yml, requirements.txt for deployment
- Fix placement, grading, scoring, and auth controllers
- Add ErrorBoundary component for frontend resilience
- Add QA report and credentials documentation

Made-with: Cursor

backend/custom_addons/encoach_ai/controllers/ai_controller.py

@@ -347,7 +347,8 @@ class AIController(http.Controller):
             ]
             return _json_response(ai.chat_json(messages, action=f"exam_generate_{module}"))
         except Exception as e:
-            return _json_response({"questions": [], "error": str(e)})
+            _logger.exception("exam_generate %s failed: %s", module, e)
+            return _json_response({"questions": [], "error": str(e)}, 500)
 
     def _generate_passage(self, ai, body):
         topic = body.get("topic", "general knowledge")

backend/custom_addons/encoach_ai/controllers/media_controller.py

@@ -125,54 +125,6 @@ class MediaController(http.Controller):
         except Exception as e:
             return _json_response({"video_id": video_id, "status": "error", "error": str(e)})
 
-    # ── POST /api/placement/speaking-upload — transcribe speaking audio ──
-    @http.route("/api/placement/speaking-upload", type="http", auth="user", methods=["POST"], csrf=False)
-    def speaking_upload(self, **kw):
-        try:
-            audio_file = request.httprequest.files.get("audio")
-            if not audio_file:
-                return _json_response({"error": "No audio file"}, 400)
-            audio_data = audio_file.read()
-            from odoo.addons.encoach_ai.services.whisper_service import WhisperService
-            whisper = WhisperService(request.env)
-            transcript = whisper.transcribe(audio_data, use_api=True)
-
-            from odoo.addons.encoach_ai.services.openai_service import OpenAIService
-            ai = OpenAIService(request.env)
-            grade = ai.grade_speaking("IELTS Speaking Band Descriptors", transcript["text"])
-
-            return _json_response({
-                "transcript": transcript["text"],
-                "scores": grade.get("scores", {}),
-                "overall_band": grade.get("overall_band", 0),
-                "feedback": grade.get("feedback", ""),
-                "status": "completed",
-            })
-        except Exception as e:
-            _logger.exception("Speaking upload failed")
-            return _json_response({"status": "error", "error": str(e)}, 500)
-
-    # ── GET /api/placement/speaking-status — poll speaking evaluation ──
-    @http.route("/api/placement/speaking-status", type="http", auth="user", methods=["GET"], csrf=False)
-    def speaking_status(self, **kw):
-        try:
-            AiLog = request.env.get("encoach.ai.log")
-            if AiLog:
-                log = AiLog.sudo().search([
-                    ("action", "=", "grade_speaking"),
-                    ("create_uid", "=", request.env.uid),
-                ], limit=1, order="create_date desc")
-                if log:
-                    return _json_response({
-                        "status": log.status or "completed",
-                        "log_id": log.id,
-                        "latency_ms": log.latency_ms,
-                        "created_at": log.create_date.isoformat() if log.create_date else "",
-                    })
-            return _json_response({"status": "completed"})
-        except Exception:
-            return _json_response({"status": "completed"})
-
     # ── POST /api/courses/ai-generate — AiCreationAssistant.tsx ──
     @http.route("/api/courses/ai-generate", type="http", auth="user", methods=["POST"], csrf=False)
     def ai_generate_course(self, **kw):