Fix imports

gateway/app/main.py

@@ -4,7 +4,7 @@ Handles routing, authentication, rate limiting, and cross-cutting concerns
 """
 
 import asyncio
-import logging
+import structlog
 from fastapi import FastAPI, Request, HTTPException, Depends
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse
@@ -23,7 +23,7 @@ from shared.monitoring.metrics import MetricsCollector
 
 # Setup logging
 setup_logging("gateway", settings.LOG_LEVEL)
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 # Create FastAPI app
 app = FastAPI(

gateway/requirements.txt

@@ -12,3 +12,4 @@ email-validator==2.0.0
 aio-pika==9.3.0
 pytz==2023.3
 python-logstash==0.4.8
+structlog==23.2.0

services/auth/app/api/auth.py

@@ -7,7 +7,7 @@ Authentication API routes - Enhanced with proper metrics access
 
 from fastapi import APIRouter, Depends, HTTPException, status, Request
 from sqlalchemy.ext.asyncio import AsyncSession
-import logging
+import structlog
 
 from app.core.database import get_db
 from app.schemas.auth import (
@@ -18,7 +18,7 @@ from app.services.auth_service import AuthService
 from app.core.security import security_manager
 from shared.monitoring.decorators import track_execution_time, count_calls
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 router = APIRouter()
 
 def get_metrics_collector(request: Request):

services/auth/app/api/users.py

@@ -5,7 +5,7 @@ User management API routes
 from fastapi import APIRouter, Depends, HTTPException, status
 from sqlalchemy.ext.asyncio import AsyncSession
 from typing import List
-import logging
+import structlog
 
 from app.core.database import get_db
 from app.schemas.auth import UserResponse, PasswordChangeRequest
@@ -13,7 +13,7 @@ from app.services.user_service import UserService
 from app.core.auth import get_current_user
 from app.models.users import User
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 router = APIRouter()
 
 @router.get("/me", response_model=UserResponse)

services/auth/app/core/auth.py

@@ -8,13 +8,13 @@ from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
 from sqlalchemy.ext.asyncio import AsyncSession
 from sqlalchemy import select
 from jose import JWTError, jwt
-import logging
+import structlog
 
 from app.core.config import settings
 from app.core.database import get_db
 from app.models.users import User
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 security = HTTPBearer()
 

services/auth/app/core/database.py

@@ -5,14 +5,14 @@
 Database configuration for authentication service
 """
 
-import logging
+import structlog
 from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession, async_sessionmaker
 from sqlalchemy.pool import NullPool
 
 from app.core.config import settings
 from shared.database.base import Base
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 # Create async engine
 engine = create_async_engine(

services/auth/app/core/security.py

@@ -12,12 +12,12 @@ from datetime import datetime, timedelta
 from typing import Optional, Dict, Any
 import redis.asyncio as redis
 from fastapi import HTTPException, status
-import logging
+import structlog
 
 from app.core.config import settings
 from shared.auth.jwt_handler import JWTHandler
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 # Initialize JWT handler
 jwt_handler = JWTHandler(settings.JWT_SECRET_KEY, settings.JWT_ALGORITHM)

services/auth/app/main.py

@@ -2,7 +2,7 @@
 Authentication Service Main Application - Fixed middleware issue
 """
 
-import logging
+import structlog
 from fastapi import FastAPI, Request
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse
@@ -17,7 +17,7 @@ from shared.monitoring.metrics import setup_metrics_early
 
 # Setup logging first
 setup_logging("auth-service", settings.LOG_LEVEL)
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 # Global variables for lifespan access
 metrics_collector = None

services/auth/app/services/auth_service.py

@@ -5,7 +5,7 @@
 Authentication service business logic - Complete implementation
 """
 
-import logging
+import structlog
 from datetime import datetime, timedelta, timezone
 from typing import Optional, Dict, Any
 from sqlalchemy.ext.asyncio import AsyncSession
@@ -18,7 +18,7 @@ from app.schemas.auth import UserRegistration, UserLogin, TokenResponse, UserRes
 from app.core.security import security_manager
 from app.services.messaging import publish_user_registered, publish_user_login
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 class AuthService:
     """Authentication service business logic"""

services/auth/app/services/messaging.py

@@ -4,9 +4,9 @@ Messaging service for auth service
 """
 from shared.messaging.rabbitmq import RabbitMQClient
 from app.core.config import settings
-import logging
+import structlog
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 # Single global instance
 auth_publisher = RabbitMQClient(settings.RABBITMQ_URL, "auth-service")

services/auth/app/services/user_service.py

@@ -6,12 +6,12 @@ from sqlalchemy.ext.asyncio import AsyncSession
 from sqlalchemy import select, update, delete
 from fastapi import HTTPException, status
 from passlib.context import CryptContext
-import logging
+import structlog
 
 from app.models.users import User
 from app.core.config import settings
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 # Password hashing
 pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")

services/auth/requirements.txt

@@ -16,3 +16,4 @@ prometheus-client==0.17.1
 python-json-logger==2.0.4
 pytz==2023.3
 python-logstash==0.4.8
+structlog==23.2.0

services/data/app/main.py

@@ -5,7 +5,7 @@
 Data Service Main Application - Fixed middleware issue
 """
 
-import logging
+import structlog
 from contextlib import asynccontextmanager
 from fastapi import FastAPI, Request
 from fastapi.middleware.cors import CORSMiddleware
@@ -21,7 +21,7 @@ from shared.monitoring.metrics import setup_metrics_early
 
 # Setup logging first
 setup_logging("data-service", settings.LOG_LEVEL)
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 # Global variables for lifespan access
 metrics_collector = None

services/data/app/services/messaging.py

@@ -4,9 +4,9 @@
 
 from shared.messaging.rabbitmq import RabbitMQClient
 from app.core.config import settings
-import logging
+import structlog
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 # Single global instance
 data_publisher = RabbitMQClient(settings.RABBITMQ_URL, "data-service")

services/forecasting/app/main.py

@@ -2,7 +2,7 @@
 uLuforecasting Service
 """
 
-import logging
+import structlog
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 
@@ -13,7 +13,7 @@ from shared.monitoring.metrics import MetricsCollector
 
 # Setup logging
 setup_logging("forecasting-service", "INFO")
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 # Create FastAPI app
 app = FastAPI(

services/forecasting/requirements.txt

@@ -12,3 +12,4 @@ prometheus-client==0.17.1
 python-json-logger==2.0.4
 pytz==2023.3
 python-logstash==0.4.8
+structlog==23.2.0

services/notification/app/main.py

@@ -2,7 +2,7 @@
 uLunotification Service
 """
 
-import logging
+import structlog
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 
@@ -13,7 +13,7 @@ from shared.monitoring.metrics import MetricsCollector
 
 # Setup logging
 setup_logging("notification-service", "INFO")
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 # Create FastAPI app
 app = FastAPI(

services/notification/requirements.txt

@@ -12,3 +12,5 @@ prometheus-client==0.17.1
 python-json-logger==2.0.4
 pytz==2023.3
 python-logstash==0.4.8
+structlog==23.2.0
+structlog==23.2.0

services/tenant/app/main.py

@@ -2,7 +2,7 @@
 uLutenant Service
 """
 
-import logging
+import structlog
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 
@@ -13,7 +13,7 @@ from shared.monitoring.metrics import MetricsCollector
 
 # Setup logging
 setup_logging("tenant-service", "INFO")
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 # Create FastAPI app
 app = FastAPI(

services/tenant/requirements.txt

@@ -12,3 +12,4 @@ prometheus-client==0.17.1
 python-json-logger==2.0.4
 pytz==2023.3
 python-logstash==0.4.8
+structlog==23.2.0

services/training/app/api/models.py

@@ -5,14 +5,14 @@ Models API endpoints
 from fastapi import APIRouter, Depends, HTTPException, status
 from sqlalchemy.ext.asyncio import AsyncSession
 from typing import List
-import logging
+import structlog
 
 from app.core.database import get_db
 from app.core.auth import verify_token
 from app.schemas.training import TrainedModelResponse
 from app.services.training_service import TrainingService
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 router = APIRouter()
 
 training_service = TrainingService()

services/training/app/api/training.py

@@ -5,14 +5,14 @@ Training API endpoints
 from fastapi import APIRouter, Depends, HTTPException, status, Query
 from sqlalchemy.ext.asyncio import AsyncSession
 from typing import List, Optional
-import logging
+import structlog
 
 from app.core.database import get_db
 from app.core.auth import verify_token
 from app.schemas.training import TrainingRequest, TrainingJobResponse, TrainedModelResponse
 from app.services.training_service import TrainingService
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 router = APIRouter()
 
 training_service = TrainingService()

services/training/app/core/auth.py

@@ -5,11 +5,11 @@ Authentication utilities for training service
 import httpx
 from fastapi import HTTPException, status, Depends
 from fastapi.security import HTTPBearer
-import logging
+import structlog
 
 from app.core.config import settings
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 security = HTTPBearer()
 

services/training/app/main.py

@@ -3,20 +3,20 @@ Training Service
 Handles ML model training for bakery demand forecasting
 """
 
-import logging
+import structlog
 from fastapi import FastAPI, BackgroundTasks
 from fastapi.middleware.cors import CORSMiddleware
 
 from app.core.config import settings
 from app.core.database import database_manager
 from app.api import training, models
-from app.services.messaging import message_publisher
+from app.services.messaging import setup_messaging, cleanup_messaging
 from shared.monitoring.logging import setup_logging
 from shared.monitoring.metrics import MetricsCollector
 
 # Setup logging
 setup_logging("training-service", settings.LOG_LEVEL)
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 # Create FastAPI app
 app = FastAPI(
@@ -50,7 +50,7 @@ async def startup_event():
     await database_manager.create_tables()
     
     # Initialize message publisher
-    await message_publisher.connect()
+    await setup_messaging()
     
     # Start metrics server
     metrics_collector.start_metrics_server(8080)
@@ -63,7 +63,7 @@ async def shutdown_event():
     logger.info("Shutting down Training Service")
     
     # Cleanup message publisher
-    await message_publisher.disconnect()
+    await cleanup_messaging()
     
     logger.info("Training Service shutdown complete")
 

services/training/app/ml/trainer.py

@@ -3,7 +3,7 @@ ML Training implementation
 """
 
 import asyncio
-import logging
+import structlog
 from typing import Dict, Any, List
 import pandas as pd
 from datetime import datetime
@@ -15,7 +15,7 @@ from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score
 
 from app.core.config import settings
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 class MLTrainer:
     """ML training implementation"""

services/training/app/services/messaging.py

@@ -1,12 +1,15 @@
+# ================================================================
+# services/training/app/services/messaging.py
+# ================================================================
 """
-Training service messaging - Uses shared RabbitMQ client only
+Messaging service for training service
 """
 
+import structlog
 from shared.messaging.rabbitmq import RabbitMQClient
 from app.core.config import settings
-import logging
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 # Single global instance
 training_publisher = RabbitMQClient(settings.RABBITMQ_URL, "training-service")
@@ -25,14 +28,22 @@ async def cleanup_messaging():
     logger.info("Training service messaging cleaned up")
 
 # Convenience functions for training-specific events
-async def publish_training_started(data: dict) -> bool:
+async def publish_training_started(job_data: dict) -> bool:
     """Publish training started event"""
-    return await training_publisher.publish_training_event("started", data)
+    return await training_publisher.publish_training_event("started", job_data)
 
-async def publish_training_completed(data: dict) -> bool:
+async def publish_training_completed(job_data: dict) -> bool:
     """Publish training completed event"""
-    return await training_publisher.publish_training_event("completed", data)
+    return await training_publisher.publish_training_event("completed", job_data)
 
-async def publish_training_failed(data: dict) -> bool:
+async def publish_training_failed(job_data: dict) -> bool:
     """Publish training failed event"""
-    return await training_publisher.publish_training_event("failed", data)
+    return await training_publisher.publish_training_event("failed", job_data)
+
+async def publish_model_validated(model_data: dict) -> bool:
+    """Publish model validation event"""
+    return await training_publisher.publish_training_event("model.validated", model_data)
+
+async def publish_model_saved(model_data: dict) -> bool:
+    """Publish model saved event"""
+    return await training_publisher.publish_training_event("model.saved", model_data)

services/training/app/services/training_service.py

@@ -1,9 +1,8 @@
 """
 Training service business logic
 """
-
 import asyncio
-import logging
+import structlog
 from datetime import datetime, timedelta, timezone
 from typing import Dict, Any, List, Optional
 from sqlalchemy.ext.asyncio import AsyncSession
@@ -16,10 +15,9 @@ from app.core.config import settings
 from app.models.training import TrainingJob, TrainedModel, TrainingLog
 from app.schemas.training import TrainingRequest, TrainingJobResponse, TrainedModelResponse
 from app.ml.trainer import MLTrainer
-from app.services.messaging import message_publisher
-from shared.messaging.events import TrainingStartedEvent, TrainingCompletedEvent, TrainingFailedEvent
+from app.services.messaging import publish_training_started, publish_training_completed, publish_training_failed
 
-logger = logging.getLogger(__name__)
+logger = structlog.get_logger()
 
 class TrainingService:
     """Training service business logic"""
@@ -46,8 +44,8 @@ class TrainingService:
             progress=0,
             current_step="Queued for training",
             requested_by=user_data.get("user_id"),
-            training_data_from= datetime.now(timezone.utc) - timedelta(days=request.training_days),
-            training_data_to= datetime.now(timezone.utc)
+            training_data_from=datetime.now(timezone.utc) - timedelta(days=request.training_days),
+            training_data_to=datetime.now(timezone.utc)
         )
         
         db.add(training_job)
@@ -57,24 +55,20 @@ class TrainingService:
         # Start training in background
         asyncio.create_task(self._execute_training(training_job.id, request, db))
         
-        # Publish training started event
-        await message_publisher.publish_event(
-            "training_events",
-            "training.started",
-            TrainingStartedEvent(
-                event_id=str(uuid.uuid4()),
-                service_name="training-service",
-                timestamp= datetime.now(timezone.utc),
-                data={
+        # Publish training started event - SIMPLIFIED
+        event_data = {
             "job_id": str(training_job.id),
             "tenant_id": tenant_id,
             "requested_by": user_data.get("user_id"),
-                    "training_days": request.training_days
+            "training_days": request.training_days,
+            "timestamp": datetime.now(timezone.utc).isoformat()
         }
-            ).__dict__
-        )
         
-        logger.info(f"Training job started: {training_job.id} for tenant: {tenant_id}")
+        success = await publish_training_started(event_data)
+        if not success:
+            logger.warning("Failed to publish training started event", job_id=str(training_job.id))
+        
+        logger.info("Training job started", job_id=str(training_job.id), tenant_id=tenant_id)
         
         return TrainingJobResponse(
             id=str(training_job.id),
@@ -229,47 +223,39 @@ class TrainingService:
             await self._save_trained_models(job_id, models_result, validation_result, db)
             
             # Complete job
-            duration = int(( datetime.now(timezone.utc) - start_time).total_seconds())
+            duration = int((datetime.now(timezone.utc) - start_time).total_seconds())
             await self._complete_job(job_id, models_result, validation_result, duration, db)
             
-            # Publish completion event
-            await message_publisher.publish_event(
-                "training_events",
-                "training.completed",
-                TrainingCompletedEvent(
-                    event_id=str(uuid.uuid4()),
-                    service_name="training-service",
-                    timestamp= datetime.now(timezone.utc),
-                    data={
+            # Publish completion event - SIMPLIFIED
+            event_data = {
                 "job_id": str(job_id),
                 "models_trained": len(models_result),
-                        "duration_seconds": duration
+                "duration_seconds": duration,
+                "timestamp": datetime.now(timezone.utc).isoformat()
             }
-                ).__dict__
-            )
             
-            logger.info(f"Training job completed: {job_id}")
+            success = await publish_training_completed(event_data)
+            if not success:
+                logger.warning("Failed to publish training completed event", job_id=str(job_id))
+            
+            logger.info("Training job completed", job_id=str(job_id))
             
         except Exception as e:
-            logger.error(f"Training job failed: {job_id} - {e}")
+            logger.error("Training job failed", job_id=str(job_id), error=str(e))
             
             # Update job as failed
             await self._update_job_status(job_id, "failed", 0, f"Training failed: {str(e)}", db)
             
-            # Publish failure event
-            await message_publisher.publish_event(
-                "training_events",
-                "training.failed",
-                TrainingFailedEvent(
-                    event_id=str(uuid.uuid4()),
-                    service_name="training-service",
-                    timestamp= datetime.now(timezone.utc),
-                    data={
+            # Publish failure event - SIMPLIFIED
+            event_data = {
                 "job_id": str(job_id),
-                        "error": str(e)
+                "error": str(e),
+                "timestamp": datetime.now(timezone.utc).isoformat()
             }
-                ).__dict__
-            )
+            
+            success = await publish_training_failed(event_data)
+            if not success:
+                logger.warning("Failed to publish training failed event", job_id=str(job_id))
     
     async def _update_job_status(self, job_id: str, status: str, progress: int, current_step: str, db: AsyncSession):
         """Update training job status"""
@@ -281,7 +267,7 @@ class TrainingService:
                 status=status,
                 progress=progress,
                 current_step=current_step,
-                updated_at= datetime.now(timezone.utc)
+                updated_at=datetime.now(timezone.utc)
             )
         )
         await db.commit()
@@ -312,7 +298,7 @@ class TrainingService:
                     raise Exception(f"Failed to get training data: {response.status_code}")
                     
         except Exception as e:
-            logger.error(f"Error getting training data: {e}")
+            logger.error("Error getting training data", error=str(e))
             raise
     
     async def _save_trained_models(self, job_id: str, models_result: Dict[str, Any], validation_result: Dict[str, Any], db: AsyncSession):
@@ -374,7 +360,7 @@ class TrainingService:
                 status="completed",
                 progress=100,
                 current_step="Training completed successfully",
-                completed_at= datetime.now(timezone.utc),
+                completed_at=datetime.now(timezone.utc),
                 duration_seconds=duration,
                 models_trained=models_result,
                 metrics=metrics,

services/training/requirements.txt

@@ -24,3 +24,4 @@ pytz==2023.3
 python-dateutil==2.8.2
 
 python-logstash==0.4.8
+structlog==23.2.0

shared/messaging/rabbitmq.py

@@ -6,7 +6,7 @@ import json
 from typing import Dict, Any, Callable, Optional
 from datetime import datetime, date
 import uuid
-import logstash
+import structlog
 
 try:
     import aio_pika
@@ -15,7 +15,7 @@ try:
 except ImportError:
     AIO_PIKA_AVAILABLE = False
     
-logger = logstash.get_logger()
+logger = structlog.get_logger()
 
 def json_serializer(obj):
     """JSON serializer for objects not serializable by default json code"""