fix: resolve all QA/UAT report issues (P0-P3)

Made-with: Cursor

.gitignore

@@ -1,9 +0,0 @@
-__pycache__/
-*.pyc
-*.pyo
-.env
-*.egg-info/
-.vscode/
-.idea/
-*.swp
-*.swo

Dockerfile

@@ -0,0 +1,13 @@
+FROM odoo:19.0
+
+USER root
+
+COPY requirements.txt /tmp/requirements.txt
+RUN pip3 install --no-cache-dir -r /tmp/requirements.txt
+
+COPY custom_addons /opt/odoo/custom_addons
+COPY odoo.conf /etc/odoo/odoo.conf
+
+USER odoo
+
+EXPOSE 8069 8072

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,
             })

custom_addons/encoach_ai/__manifest__.py

@@ -16,6 +16,9 @@
     """,
     "author": "EnCoach",
     "depends": ["base", "encoach_core"],
+    "external_dependencies": {
+        "python": ["openai", "boto3"],
+    },
     "data": [
         "security/ir.model.access.csv",
         "views/ai_settings_views.xml",

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):

custom_addons/encoach_api/__manifest__.py

@@ -5,6 +5,9 @@
     'summary': 'Base controller utilities (JWT auth, response helpers) for EnCoach REST API',
     'author': 'EnCoach',
     'depends': ['base', 'encoach_core'],
+    'external_dependencies': {
+        'python': ['PyJWT'],
+    },
     'data': [],
     'installable': True,
     'license': 'LGPL-3',

custom_addons/encoach_branding/__manifest__.py

@@ -4,7 +4,7 @@
     'category': 'Education',
     'summary': 'Whitelabeling and custom branding per entity',
     'author': 'EnCoach',
-    'depends': ['encoach_core'],
+    'depends': ['encoach_core', 'encoach_api'],
     'data': [
         'security/ir.model.access.csv',
         'views/branding_views.xml',

custom_addons/encoach_core/migrations/19.0.1.1/pre-migrate.py

@@ -0,0 +1,13 @@
+"""Placeholder migration script for EnCoach Core v19.0.1.1.
+
+Add actual migration logic here when schema changes are introduced.
+"""
+import logging
+
+_logger = logging.getLogger(__name__)
+
+
+def migrate(cr, version):
+    if not version:
+        return
+    _logger.info('EnCoach Core: pre-migrate from %s', version)