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

custom_addons/encoach_adaptive/controllers/adaptive.py

@@ -27,14 +27,33 @@ class EncoachAdaptiveController(http.Controller):
             from odoo.fields import Datetime as DT
             today_start = DT.now().replace(hour=0, minute=0, second=0, microsecond=0)
 
-            total_students = len(Path.search([]).mapped('student_id'))
-            active_courses = len(Path.search([]).mapped('course_id').filtered(lambda c: c))
+            all_paths = Path.search([])
+            total_students = len(all_paths.mapped('student_id'))
+            active_courses = len(all_paths.mapped('course_id').filtered(lambda c: c))
 
             signals_today = Event.search_count([
                 ('event_type', '=', 'signal'),
                 ('created_at', '>=', today_start),
             ])
 
+            avg_progress = 0.0
+            if all_paths:
+                progress_values = []
+                for p in all_paths:
+                    try:
+                        module_queue = json.loads(p.module_queue or '[]')
+                    except (json.JSONDecodeError, TypeError):
+                        module_queue = []
+                    total_modules = len(module_queue) if module_queue else 1
+                    completed = sum(
+                        1 for m in module_queue
+                        if isinstance(m, dict) and m.get('done')
+                    )
+                    progress_values.append(
+                        round(completed / total_modules * 100, 1) if total_modules else 0.0
+                    )
+                avg_progress = round(sum(progress_values) / len(progress_values), 1) if progress_values else 0.0
+
             recent_decisions = []
             decisions = Event.search(
                 [('event_type', '=', 'decision')],
@@ -52,7 +71,7 @@ class EncoachAdaptiveController(http.Controller):
             return _json_response({
                 'total_students': total_students,
                 'active_courses': active_courses,
-                'avg_progress': 0.0,
+                'avg_progress': avg_progress,
                 'signals_today': signals_today,
                 'recent_decisions': recent_decisions,
             })