Add base kubernetes support final fix 4

services/auth/app/api/onboarding.py

@@ -131,15 +131,28 @@ class OnboardingService:
         
         # Update the step
         await self._update_user_onboarding_data(
-            user_id, 
-            step_name, 
+            user_id,
+            step_name,
             {
                 "completed": update_request.completed,
                 "completed_at": datetime.now(timezone.utc).isoformat() if update_request.completed else None,
                 "data": update_request.data or {}
             }
         )
-        
+
+        # Try to update summary and handle partial failures gracefully
+        try:
+            # Update the user's onboarding summary
+            await self._update_user_summary(user_id)
+        except HTTPException as he:
+            # If it's a 207 Multi-Status (partial success), log warning but continue
+            if he.status_code == status.HTTP_207_MULTI_STATUS:
+                logger.warning(f"Summary update failed for user {user_id}, step {step_name}: {he.detail}")
+                # Continue execution - the step update was successful
+            else:
+                # Re-raise other HTTP exceptions
+                raise
+
         # Return updated progress
         return await self.get_user_progress(user_id)
     
@@ -284,10 +297,7 @@ class OnboardingService:
                 completed=completed,
                 step_data=data_payload
             )
-            
-            # Update the user's onboarding summary
-            await self._update_user_summary(user_id)
-            
+
             logger.info(f"Successfully updated onboarding step for user {user_id}: {step_name} = {step_data}")
             return updated_step
             
@@ -300,26 +310,26 @@ class OnboardingService:
         try:
             # Get updated progress
             user_progress_data = await self._get_user_onboarding_data(user_id)
-            
+
             # Calculate current status
             completed_steps = []
             for step_name in ONBOARDING_STEPS:
                 if user_progress_data.get(step_name, {}).get("completed", False):
                     completed_steps.append(step_name)
-            
+
             # Determine current and next step
             current_step = self._get_current_step(completed_steps)
             next_step = self._get_next_step(completed_steps)
-            
+
             # Calculate completion percentage
             completion_percentage = (len(completed_steps) / len(ONBOARDING_STEPS)) * 100
-            
+
             # Check if fully completed
             fully_completed = len(completed_steps) == len(ONBOARDING_STEPS)
-            
+
             # Format steps count
             steps_completed_count = f"{len(completed_steps)}/{len(ONBOARDING_STEPS)}"
-            
+
             # Update summary in database
             await self.onboarding_repo.upsert_user_summary(
                 user_id=user_id,
@@ -329,10 +339,18 @@ class OnboardingService:
                 fully_completed=fully_completed,
                 steps_completed_count=steps_completed_count
             )
-            
+
+            logger.debug(f"Successfully updated onboarding summary for user {user_id}")
+
         except Exception as e:
-            logger.error(f"Error updating onboarding summary for user {user_id}: {e}")
-            # Don't raise here - summary update failure shouldn't break step updates
+            logger.error(f"Error updating onboarding summary for user {user_id}: {e}",
+                        extra={"user_id": user_id, "error_type": type(e).__name__})
+            # Raise a warning-level HTTPException to inform frontend without breaking the flow
+            # This allows the step update to succeed while alerting about summary issues
+            raise HTTPException(
+                status_code=status.HTTP_207_MULTI_STATUS,
+                detail=f"Step updated successfully, but summary update failed: {str(e)}"
+            )
 
 # API Routes
 

services/auth/app/models/onboarding.py

@@ -61,11 +61,11 @@ class UserOnboardingSummary(Base):
     # Summary fields
     current_step = Column(String(50), nullable=False, default="user_registered")
     next_step = Column(String(50))
-    completion_percentage = Column(String(10), default="0.0")  # Store as string for precision
+    completion_percentage = Column(String(50), default="0.0")  # Store as string for precision
     fully_completed = Column(Boolean, default=False)
-    
+
     # Progress tracking
-    steps_completed_count = Column(String(10), default="0")  # Store as string: "3/5"
+    steps_completed_count = Column(String(50), default="0")  # Store as string: "3/5"
     
     # Timestamps
     created_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc))

services/training/app/api/websocket.py

@@ -82,11 +82,45 @@ async def training_progress_websocket(
     tenant_id: str,
     job_id: str
 ):
-    connection_id = f"{tenant_id}_{id(websocket)}"
-    
+    # Validate token from query parameters
+    token = websocket.query_params.get("token")
+    if not token:
+        logger.warning(f"WebSocket connection rejected - missing token for job {job_id}")
+        await websocket.close(code=1008, reason="Authentication token required")
+        return
+
+    # Validate the token (use the same JWT handler as gateway)
+    from shared.auth.jwt_handler import JWTHandler
+    from app.core.config import settings
+
+    jwt_handler = JWTHandler(settings.JWT_SECRET_KEY, settings.JWT_ALGORITHM)
+
+    try:
+        payload = jwt_handler.verify_token(token)
+        if not payload:
+            logger.warning(f"WebSocket connection rejected - invalid token for job {job_id}")
+            await websocket.close(code=1008, reason="Invalid authentication token")
+            return
+
+        # Verify user has access to this tenant
+        user_id = payload.get('user_id')
+        if not user_id:
+            logger.warning(f"WebSocket connection rejected - no user_id in token for job {job_id}")
+            await websocket.close(code=1008, reason="Invalid token payload")
+            return
+
+        logger.info(f"WebSocket authenticated for user {payload.get('email', 'unknown')} on job {job_id}")
+
+    except Exception as e:
+        logger.warning(f"WebSocket token validation failed for job {job_id}: {e}")
+        await websocket.close(code=1008, reason="Token validation failed")
+        return
+
+    connection_id = f"{tenant_id}_{user_id}_{id(websocket)}"
+
     await connection_manager.connect(websocket, job_id, connection_id)
-    logger.info(f"WebSocket connection established for job {job_id}")
-    
+    logger.info(f"WebSocket connection established for job {job_id}, user {user_id}")
+
     consumer_task = None
     training_completed = False
     
@@ -100,11 +134,12 @@ async def training_progress_websocket(
         
         while not training_completed:
             try:
-                # FIXED: Use receive() instead of receive_text()
+                # Coordinate with frontend 30s heartbeat + gateway 45s timeout
+                # This should be longer than gateway timeout to avoid premature closure
                 try:
-                    data = await asyncio.wait_for(websocket.receive(), timeout=30.0)
+                    data = await asyncio.wait_for(websocket.receive(), timeout=60.0)
                     last_activity = asyncio.get_event_loop().time()
-                    
+
                     # Handle different message types
                     if data["type"] == "websocket.receive":
                         if "text" in data:
@@ -123,31 +158,41 @@ async def training_progress_websocket(
                             elif message_text == "close":
                                 logger.info(f"Client requested connection close for job {job_id}")
                                 break
-                                
+
                         elif "bytes" in data:
-                            # Handle binary messages (WebSocket ping frames)
+                            # Handle binary messages (WebSocket ping frames) - respond with text pong for compatibility
                             await websocket.send_text("pong")
-                            logger.debug(f"Binary ping received for job {job_id}")
-                            
+                            logger.debug(f"Binary ping received for job {job_id}, responding with text pong")
+
                     elif data["type"] == "websocket.disconnect":
                         logger.info(f"WebSocket disconnect message received for job {job_id}")
                         break
-                        
+
                 except asyncio.TimeoutError:
-                    # No message received in 30 seconds - send heartbeat
+                    # No message received in 60 seconds - this is now coordinated with gateway timeouts
                     current_time = asyncio.get_event_loop().time()
-                    if current_time - last_activity > 60:
-                        logger.warning(f"Long inactivity period for job {job_id}, sending heartbeat")
-                    
-                    try:
-                        await websocket.send_json({
-                            "type": "heartbeat",
-                            "job_id": job_id,
-                            "timestamp": str(datetime.datetime.now())
-                        })
-                    except Exception as e:
-                        logger.error(f"Failed to send heartbeat for job {job_id}: {e}")
-                        break
+
+                    # Send heartbeat only if we haven't received frontend ping for too long
+                    # Frontend sends ping every 30s, so 60s timeout + 30s grace = 90s before heartbeat
+                    if current_time - last_activity > 90:  # 90 seconds of total inactivity
+                        logger.warning(f"No frontend activity for 90s on job {job_id}, sending training service heartbeat")
+
+                        try:
+                            await websocket.send_json({
+                                "type": "heartbeat",
+                                "job_id": job_id,
+                                "timestamp": str(datetime.datetime.now()),
+                                "message": "Training service heartbeat - frontend inactive",
+                                "inactivity_seconds": int(current_time - last_activity)
+                            })
+                            last_activity = current_time
+                        except Exception as e:
+                            logger.error(f"Failed to send heartbeat for job {job_id}: {e}")
+                            break
+                    else:
+                        # Normal timeout, frontend should be sending ping every 30s
+                        logger.debug(f"Normal 60s timeout for job {job_id}, continuing (last activity: {int(current_time - last_activity)}s ago)")
+                        continue
                 
             except WebSocketDisconnect:
                 logger.info(f"WebSocket client disconnected for job {job_id}")

services/training/app/core/database.py

@@ -43,11 +43,71 @@ async def get_db_health() -> bool:
             await conn.execute(text("SELECT 1"))
         logger.debug("Database health check passed")
         return True
-        
+
     except Exception as e:
         logger.error("Database health check failed", error=str(e))
         return False
 
+async def get_comprehensive_db_health() -> dict:
+    """
+    Comprehensive health check that verifies both connectivity and table existence
+    """
+    health_status = {
+        "status": "healthy",
+        "connectivity": False,
+        "tables_exist": False,
+        "tables_verified": [],
+        "missing_tables": [],
+        "errors": []
+    }
+
+    try:
+        # Test basic connectivity
+        health_status["connectivity"] = await get_db_health()
+
+        if not health_status["connectivity"]:
+            health_status["status"] = "unhealthy"
+            health_status["errors"].append("Database connectivity failed")
+            return health_status
+
+        # Test table existence
+        tables_verified = await _verify_tables_exist()
+        health_status["tables_exist"] = tables_verified
+
+        if tables_verified:
+            health_status["tables_verified"] = [
+                'model_training_logs', 'trained_models', 'model_performance_metrics',
+                'training_job_queue', 'model_artifacts'
+            ]
+        else:
+            health_status["status"] = "unhealthy"
+            health_status["errors"].append("Required tables missing or inaccessible")
+
+            # Try to identify which specific tables are missing
+            try:
+                async with database_manager.get_session() as session:
+                    for table_name in ['model_training_logs', 'trained_models', 'model_performance_metrics',
+                                     'training_job_queue', 'model_artifacts']:
+                        try:
+                            await session.execute(text(f"SELECT 1 FROM {table_name} LIMIT 1"))
+                            health_status["tables_verified"].append(table_name)
+                        except Exception:
+                            health_status["missing_tables"].append(table_name)
+            except Exception as e:
+                health_status["errors"].append(f"Error checking individual tables: {str(e)}")
+
+        logger.debug("Comprehensive database health check completed",
+                    status=health_status["status"],
+                    connectivity=health_status["connectivity"],
+                    tables_exist=health_status["tables_exist"])
+
+    except Exception as e:
+        health_status["status"] = "unhealthy"
+        health_status["errors"].append(f"Health check failed: {str(e)}")
+        logger.error("Comprehensive database health check failed", error=str(e))
+
+    return health_status
+
 # Training service specific database utilities
 class TrainingDatabaseUtils:
     """Training service specific database utilities"""
@@ -223,27 +283,118 @@ async def get_db_session() -> AsyncGenerator[AsyncSession, None]:
 
 # Database initialization for training service
 async def initialize_training_database():
-    """Initialize database tables for training service"""
+    """Initialize database tables for training service with retry logic and verification"""
+    import asyncio
+    from sqlalchemy import text
+
+    max_retries = 5
+    retry_delay = 2.0
+
+    for attempt in range(1, max_retries + 1):
+        try:
+            logger.info("Initializing training service database",
+                       attempt=attempt, max_retries=max_retries)
+
+            # Step 1: Test database connectivity first
+            logger.info("Testing database connectivity...")
+            connection_ok = await database_manager.test_connection()
+            if not connection_ok:
+                raise Exception("Database connection test failed")
+            logger.info("Database connectivity verified")
+
+            # Step 2: Import models to ensure they're registered
+            logger.info("Importing and registering database models...")
+            from app.models.training import (
+                ModelTrainingLog,
+                TrainedModel,
+                ModelPerformanceMetric,
+                TrainingJobQueue,
+                ModelArtifact
+            )
+
+            # Verify models are registered in metadata
+            expected_tables = {
+                'model_training_logs', 'trained_models', 'model_performance_metrics',
+                'training_job_queue', 'model_artifacts'
+            }
+            registered_tables = set(Base.metadata.tables.keys())
+            missing_tables = expected_tables - registered_tables
+            if missing_tables:
+                raise Exception(f"Models not properly registered: {missing_tables}")
+
+            logger.info("Models registered successfully",
+                       tables=list(registered_tables))
+
+            # Step 3: Create tables using shared infrastructure with verification
+            logger.info("Creating database tables...")
+            await database_manager.create_tables()
+
+            # Step 4: Verify tables were actually created
+            logger.info("Verifying table creation...")
+            verification_successful = await _verify_tables_exist()
+
+            if not verification_successful:
+                raise Exception("Table verification failed - tables were not created properly")
+
+            logger.info("Training service database initialized and verified successfully",
+                       attempt=attempt)
+            return
+
+        except Exception as e:
+            logger.error("Database initialization failed",
+                        attempt=attempt,
+                        max_retries=max_retries,
+                        error=str(e))
+
+            if attempt == max_retries:
+                logger.error("All database initialization attempts failed - giving up")
+                raise Exception(f"Failed to initialize training database after {max_retries} attempts: {str(e)}")
+
+            # Wait before retry with exponential backoff
+            wait_time = retry_delay * (2 ** (attempt - 1))
+            logger.info("Retrying database initialization",
+                       retry_in_seconds=wait_time,
+                       next_attempt=attempt + 1)
+            await asyncio.sleep(wait_time)
+
+async def _verify_tables_exist() -> bool:
+    """Verify that all required tables exist in the database"""
     try:
-        logger.info("Initializing training service database")
-        
-        # Import models to ensure they're registered
-        from app.models.training import (
-            ModelTrainingLog, 
-            TrainedModel, 
-            ModelPerformanceMetric, 
-            TrainingJobQueue, 
-            ModelArtifact
-        )
-        
-        # Create tables using shared infrastructure
-        await database_manager.create_tables()
-        
-        logger.info("Training service database initialized successfully")
-        
+        async with database_manager.get_session() as session:
+            # Check each required table exists and is accessible
+            required_tables = [
+                'model_training_logs',
+                'trained_models',
+                'model_performance_metrics',
+                'training_job_queue',
+                'model_artifacts'
+            ]
+
+            for table_name in required_tables:
+                try:
+                    # Try to query the table structure
+                    result = await session.execute(
+                        text(f"SELECT 1 FROM {table_name} LIMIT 1")
+                    )
+                    logger.debug(f"Table {table_name} exists and is accessible")
+                except Exception as table_error:
+                    # If it's a "relation does not exist" error, table creation failed
+                    if "does not exist" in str(table_error).lower():
+                        logger.error(f"Table {table_name} does not exist", error=str(table_error))
+                        return False
+                    # If it's an empty table, that's fine - table exists
+                    elif "no data" in str(table_error).lower():
+                        logger.debug(f"Table {table_name} exists but is empty (normal)")
+                    else:
+                        logger.warning(f"Unexpected error querying {table_name}", error=str(table_error))
+
+            logger.info("All required tables verified successfully",
+                       tables=required_tables)
+            return True
+
     except Exception as e:
-        logger.error("Failed to initialize training service database", error=str(e))
-        raise
+        logger.error("Table verification failed", error=str(e))
+        return False
 
 # Database cleanup for training service
 async def cleanup_training_database():

services/training/app/main.py

@@ -16,7 +16,7 @@ from fastapi.responses import JSONResponse
 import uvicorn
 
 from app.core.config import settings
-from app.core.database import initialize_training_database, cleanup_training_database, get_db_health
+from app.core.database import initialize_training_database, cleanup_training_database, get_db_health, get_comprehensive_db_health
 from app.api import training, models
 
 from app.api.websocket import websocket_router
@@ -195,18 +195,69 @@ async def health_check():
 
 @app.get("/health/ready")
 async def readiness_check():
-    """Kubernetes readiness probe endpoint"""
-    checks = {
-        "database": await get_db_health(),
-        "application": getattr(app.state, 'ready', False)
-    }
-    
-    if all(checks.values()):
-        return {"status": "ready", "checks": checks}
-    else:
+    """Kubernetes readiness probe endpoint with comprehensive database checks"""
+    try:
+        # Get comprehensive database health including table verification
+        db_health = await get_comprehensive_db_health()
+
+        checks = {
+            "database_connectivity": db_health["connectivity"],
+            "database_tables": db_health["tables_exist"],
+            "application": getattr(app.state, 'ready', False)
+        }
+
+        # Include detailed database info for debugging
+        database_details = {
+            "status": db_health["status"],
+            "tables_verified": db_health["tables_verified"],
+            "missing_tables": db_health["missing_tables"],
+            "errors": db_health["errors"]
+        }
+
+        # Service is ready only if all checks pass
+        all_ready = all(checks.values()) and db_health["status"] == "healthy"
+
+        if all_ready:
+            return {
+                "status": "ready",
+                "checks": checks,
+                "database": database_details
+            }
+        else:
+            return JSONResponse(
+                status_code=503,
+                content={
+                    "status": "not ready",
+                    "checks": checks,
+                    "database": database_details
+                }
+            )
+
+    except Exception as e:
+        logger.error("Readiness check failed", error=str(e))
         return JSONResponse(
             status_code=503,
-            content={"status": "not ready", "checks": checks}
+            content={
+                "status": "not ready",
+                "error": f"Health check failed: {str(e)}"
+            }
+        )
+
+@app.get("/health/database")
+async def database_health_check():
+    """Detailed database health endpoint for debugging"""
+    try:
+        db_health = await get_comprehensive_db_health()
+        status_code = 200 if db_health["status"] == "healthy" else 503
+        return JSONResponse(status_code=status_code, content=db_health)
+    except Exception as e:
+        logger.error("Database health check failed", error=str(e))
+        return JSONResponse(
+            status_code=503,
+            content={
+                "status": "unhealthy",
+                "error": f"Health check failed: {str(e)}"
+            }
         )
 
 @app.get("/metrics")
@@ -220,11 +271,6 @@ async def get_metrics():
 async def liveness_check():
     return {"status": "alive"}
 
-@app.get("/health/ready") 
-async def readiness_check():
-    ready = getattr(app.state, 'ready', True)
-    return {"status": "ready" if ready else "not ready"}
-
 @app.get("/")
 async def root():
     return {"service": "training-service", "version": "1.0.0"}