add celery, worker and scheduler

.env.example

@@ -13,6 +13,10 @@ POSTGRES_DB=crafting_shop
 GRAFANA_USER=admin
 GRAFANA_PASSWORD=change-this-password-in-production
 
+# Celery Configuration
+CELERY_BROKER_URL=redis://redis:6379/0
+CELERY_RESULT_BACKEND=redis://redis:6379/0
+
 # Optional: External Services
 # REDIS_URL=redis://localhost:6379/0
 # SMTP_HOST=smtp.gmail.com

.gitignore

@@ -80,3 +80,5 @@ htmlcov/
 *.tmp
 *.temp
 .cache/
+
+celerybeat-schedule

Makefile

@@ -1,4 +1,4 @@
-.PHONY: help install dev-services dev-stop-services dev-backend dev-frontend dev build test lint clean up down restart logs
+.PHONY: help install dev-services dev-stop-services dev-backend dev-frontend dev build test lint clean up down restart logs celery-worker celery-beat celery-flower celery-shell
 
 help: ## Show this help message
 	@echo "Available commands:"
@@ -21,7 +21,7 @@ dev-stop-services: ## Stop development services
 
 dev-backend: ## Start backend server locally
 	@echo "Starting backend server..."
-	cd backend && source venv/bin/activate && flask run
+	cd backend && . venv/bin/activate && flask run
 
 dev-frontend: ## Start frontend server locally
 	@echo "Starting frontend server..."
@@ -107,3 +107,29 @@ backup: ## Backup database
 
 restore: ## Restore database (usage: make restore FILE=backup.sql)
 	docker exec -i crafting-shop-postgres psql -U crafting crafting_shop < $(FILE)
+
+# Celery Commands
+celery-worker: ## Start Celery worker locally
+	@echo "Starting Celery worker..."
+	cd backend && . venv/bin/activate && celery -A celery_worker worker --loglevel=info --concurrency=4
+
+celery-beat: ## Start Celery Beat scheduler locally
+	@echo "Starting Celery Beat scheduler..."
+	cd backend && . venv/bin/activate && celery -A celery_worker beat --loglevel=info
+
+celery-flower: ## Start Flower monitoring locally
+	@echo "Starting Flower monitoring..."
+	cd backend && . venv/bin/activate && celery -A celery_worker flower --port=5555
+
+celery-shell: ## Open Celery shell for task inspection
+	@echo "Opening Celery shell..."
+	cd backend && . venv/bin/activate && celery -A celery_worker shell
+
+logs-celery: ## Show Celery worker logs
+	docker compose logs -f celery_worker
+
+logs-celery-beat: ## Show Celery Beat logs
+	docker compose logs -f celery_beat
+
+logs-flower: ## Show Flower logs
+	docker compose logs -f flower

backend/.env.example

@@ -5,3 +5,7 @@ CORS_ORIGINS=*
 DEV_DATABASE_URL=postgresql://crafting:devpassword@localhost:5432/crafting_shop
 DATABASE_URL=postgresql://user:password@localhost/proddb
 TEST_DATABASE_URL=sqlite:///test.db
+
+# Celery Configuration
+CELERY_BROKER_URL=redis://localhost:6379/0
+CELERY_RESULT_BACKEND=redis://localhost:6379/0

backend/app/__init__.py

@@ -1,16 +1,17 @@
+import json
 from flask import Flask, jsonify
 from flask_cors import CORS
 from flask_jwt_extended import JWTManager
 from flask_sqlalchemy import SQLAlchemy
 from flask_migrate import Migrate
 import os
-
+from dotenv import load_dotenv
 # Create extensions but don't initialize them yet
 db = SQLAlchemy()
 migrate = Migrate()
 jwt = JWTManager()
 cors = CORS()
-
+load_dotenv(override=True)
 
 def create_app(config_name=None):
     """Application factory pattern"""
@@ -18,32 +19,41 @@ def create_app(config_name=None):
     
     # Load configuration
     if config_name is None:
-        config_name = os.environ.get('FLASK_ENV', 'development')
+        config_name = os.environ.get("FLASK_ENV", "development")
     
     from app.config import config_by_name
     app.config.from_object(config_by_name[config_name])
     
+    print('----------------------------------------------------------')
+    print(F'------------------ENVIRONMENT: {config_name}-------------------------------------')
+    # print(F'------------------CONFIG: {app.config}-------------------------------------')
+    # print(json.dumps(dict(app.config), indent=2, default=str))
+    print('----------------------------------------------------------')
     # Initialize extensions with app
     db.init_app(app)
     migrate.init_app(app, db)
     jwt.init_app(app)
-    cors.init_app(app, resources={r"/api/*": {"origins": app.config.get('CORS_ORIGINS', '*')}})
+    cors.init_app(app, resources={r"/api/*": {"origins": app.config.get("CORS_ORIGINS", "*")}})
+    
+    # Initialize Celery
+    from app.celery import init_celery
+    init_celery(app)
     
     # Import models (required for migrations)
     from app.models import user, product, order
     
     # Register blueprints
     from app.routes import api_bp, health_bp
-    app.register_blueprint(api_bp, url_prefix='/api')
+    app.register_blueprint(api_bp, url_prefix="/api")
     app.register_blueprint(health_bp)
     
     # Global error handlers
     @app.errorhandler(404)
     def not_found(error):
-        return jsonify({'error': 'Not found'}), 404
+        return jsonify({"error": "Not found"}), 404
     
     @app.errorhandler(500)
     def internal_error(error):
-        return jsonify({'error': 'Internal server error'}), 500
+        return jsonify({"error": "Internal server error"}), 500
     
     return app

backend/app/celery/__init__.py

@@ -0,0 +1,73 @@
+"""
+Celery application factory for the Crafting Shop application.
+Follows the same application factory pattern as Flask.
+"""
+from celery import Celery
+from flask import Flask
+
+
+def make_celery(app: Flask) -> Celery:
+    """
+    Create and configure a Celery application with Flask context.
+    
+    Args:
+        app: Flask application instance
+    
+    Returns:
+        Configured Celery application instance.
+    """
+    # Create Celery app with Flask app name
+    celery_app = Celery(
+        app.import_name,
+        broker=app.config["CELERY"]["broker_url"],
+        backend=app.config["CELERY"]["result_backend"]
+    )
+    
+    # Update configuration from Flask config
+    celery_app.conf.update(app.config["CELERY"])
+    
+    # Set up Flask application context for tasks
+    # This ensures tasks have access to Flask extensions (db, etc.)
+    class ContextTask(celery_app.Task):
+        """Celery task that runs within Flask application context."""
+        def __call__(self, *args, **kwargs):
+            with app.app_context():
+                return self.run(*args, **kwargs)
+    
+    celery_app.Task = ContextTask
+    
+    # Auto-discover tasks in the tasks module
+    celery_app.autodiscover_tasks(['app.celery.tasks'])
+    
+    # Configure Beat schedule
+    from .beat_schedule import configure_beat_schedule
+    configure_beat_schedule(celery_app)
+    
+    # Import tasks to ensure they're registered
+    from .tasks import example_tasks
+    
+    print(f"✅ Celery configured with broker: {celery_app.conf.broker_url}")
+    print(f"✅ Celery configured with backend: {celery_app.conf.result_backend}")
+    print(f"✅ Beat schedule configured with {len(celery_app.conf.beat_schedule)} tasks")
+    
+    return celery_app
+
+
+# Global Celery instance
+celery = None
+
+
+def init_celery(app: Flask) -> Celery:
+    """
+    Initialize the global celery instance with Flask app.
+    This should be called in create_app() after Flask app is created.
+    
+    Args:
+        app: Flask application instance
+    
+    Returns:
+        Configured Celery application instance
+    """
+    global celery
+    celery = make_celery(app)
+    return celery

backend/app/celery/beat_schedule.py

@@ -0,0 +1,99 @@
+"""
+Celery Beat schedule configuration for periodic tasks.
+This defines when scheduled tasks should run.
+"""
+from celery.schedules import crontab
+
+
+# Celery Beat schedule configuration
+beat_schedule = {
+    # Run every minute (for testing/demo)
+    "print-hello-every-minute": {
+        "task": "tasks.print_hello",
+        "schedule": crontab(minute="*"),  # Every minute
+        "args": ("Celery Beat",),
+        "options": {"queue": "default"},
+    },
+    
+    # Run daily at 9:00 AM
+    "send-daily-report": {
+        "task": "tasks.send_daily_report",
+        "schedule": crontab(hour=9, minute=0),  # 9:00 AM daily
+        "options": {"queue": "reports"},
+    },
+    
+    # Run every hour at minute 0
+    "update-product-stats-hourly": {
+        "task": "tasks.update_product_statistics",
+        "schedule": crontab(minute=0),  # Every hour at minute 0
+        "args": (None,),  # Update all products
+        "options": {"queue": "stats"},
+    },
+    
+    # Run every Monday at 8:00 AM
+    "weekly-maintenance": {
+        "task": "tasks.long_running_task",
+        "schedule": crontab(hour=8, minute=0, day_of_week=1),  # Monday 8:00 AM
+        "args": (5,),  # 5 iterations
+        "options": {"queue": "maintenance"},
+    },
+    
+    # Run every 5 minutes (for monitoring/heartbeat)
+    "heartbeat-check": {
+        "task": "tasks.print_hello",
+        "schedule": 300.0,  # Every 300 seconds (5 minutes)
+        "args": ("Heartbeat",),
+        "options": {"queue": "monitoring"},
+    },
+}
+
+
+def configure_beat_schedule(celery_app):
+    """
+    Configure Celery Beat schedule on the Celery app.
+    
+    Args:
+        celery_app: Celery application instance
+    """
+    celery_app.conf.beat_schedule = beat_schedule
+    
+    # Configure timezone
+    celery_app.conf.timezone = "UTC"
+    celery_app.conf.enable_utc = True
+    
+    # Configure task routes for scheduled tasks
+    celery_app.conf.task_routes = {
+        "tasks.print_hello": {"queue": "default"},
+        "tasks.send_daily_report": {"queue": "reports"},
+        "tasks.update_product_statistics": {"queue": "stats"},
+        "tasks.long_running_task": {"queue": "maintenance"},
+    }
+    
+    # Configure queues
+    celery_app.conf.task_queues = {
+        "default": {
+            "exchange": "default",
+            "exchange_type": "direct",
+            "routing_key": "default",
+        },
+        "reports": {
+            "exchange": "reports",
+            "exchange_type": "direct",
+            "routing_key": "reports",
+        },
+        "stats": {
+            "exchange": "stats",
+            "exchange_type": "direct",
+            "routing_key": "stats",
+        },
+        "maintenance": {
+            "exchange": "maintenance",
+            "exchange_type": "direct",
+            "routing_key": "maintenance",
+        },
+        "monitoring": {
+            "exchange": "monitoring",
+            "exchange_type": "direct",
+            "routing_key": "monitoring",
+        },
+    }

backend/app/celery/tasks/__init__.py

@@ -0,0 +1,15 @@
+"""
+Celery tasks for the Crafting Shop application.
+Tasks are organized by domain/functionality.
+"""
+
+# Import all task modules here to ensure they're registered with Celery
+from . import example_tasks
+
+# Re-export tasks for easier imports
+from .example_tasks import (
+    print_hello,
+    divide_numbers,
+    send_daily_report,
+    update_product_statistics,
+)

backend/app/celery/tasks/example_tasks.py

@@ -0,0 +1,198 @@
+"""
+Example Celery tasks for the Crafting Shop application.
+These tasks demonstrate various Celery features and best practices.
+"""
+import time
+import logging
+from datetime import datetime
+from celery import shared_task
+from celery.exceptions import MaxRetriesExceededError
+
+# Get logger for this module
+logger = logging.getLogger(__name__)
+
+
+@shared_task(bind=True, name="tasks.print_hello")
+def print_hello(self, name: str = "World") -> str:
+    """
+    Simple task that prints a greeting.
+    
+    Args:
+        name: Name to greet (default: "World")
+    
+    Returns:
+        Greeting message
+    """
+    message = f"Hello {name} from Celery! Task ID: {self.request.id}"
+    print(message)
+    logger.info(message)
+    return message
+
+
+@shared_task(
+    bind=True,
+    name="tasks.divide_numbers",
+    autoretry_for=(ZeroDivisionError,),
+    retry_backoff=True,
+    retry_backoff_max=60,
+    retry_jitter=True,
+    max_retries=3
+)
+def divide_numbers(self, x: float, y: float) -> float:
+    """
+    Task that demonstrates error handling and retry logic.
+    
+    Args:
+        x: Numerator
+        y: Denominator
+    
+    Returns:
+        Result of division
+    
+    Raises:
+        ZeroDivisionError: If y is zero (will trigger retry)
+    """
+    logger.info(f"Dividing {x} by {y} (attempt {self.request.retries + 1})")
+    
+    if y == 0:
+        logger.warning(f"Division by zero detected, retrying...")
+        raise ZeroDivisionError("Cannot divide by zero")
+    
+    result = x / y
+    logger.info(f"Division result: {result}")
+    return result
+
+
+@shared_task(
+    bind=True,
+    name="tasks.send_daily_report",
+    ignore_result=False
+)
+def send_daily_report(self) -> dict:
+    """
+    Simulates sending a daily report.
+    This task would typically send emails, generate reports, etc.
+    
+    Returns:
+        Dictionary with report details
+    """
+    logger.info("Starting daily report generation...")
+    
+    # Simulate some work
+    time.sleep(2)
+    
+    report_data = {
+        "date": datetime.now().isoformat(),
+        "task_id": self.request.id,
+        "report_type": "daily",
+        "status": "generated",
+        "metrics": {
+            "total_products": 150,
+            "total_orders": 42,
+            "total_users": 89,
+            "revenue": 12500.75
+        }
+    }
+    
+    logger.info(f"Daily report generated: {report_data}")
+    print(f"📊 Daily Report Generated at {report_data['date']}")
+    
+    return report_data
+
+
+@shared_task(
+    bind=True,
+    name="tasks.update_product_statistics",
+    queue="stats",
+    priority=5
+)
+def update_product_statistics(self, product_id: int = None) -> dict:
+    """
+    Simulates updating product statistics.
+    Demonstrates task routing to a specific queue.
+    
+    Args:
+        product_id: Optional specific product ID to update.
+                   If None, updates all products.
+    
+    Returns:
+        Dictionary with update results
+    """
+    logger.info(f"Updating product statistics for product_id={product_id}")
+    
+    # Simulate database work
+    time.sleep(1)
+    
+    if product_id is None:
+        # Update all products
+        result = {
+            "task": "update_all_product_stats",
+            "status": "completed",
+            "products_updated": 150,
+            "timestamp": datetime.now().isoformat()
+        }
+    else:
+        # Update specific product
+        result = {
+            "task": "update_single_product_stats",
+            "product_id": product_id,
+            "status": "completed",
+            "timestamp": datetime.now().isoformat(),
+            "new_stats": {
+                "views": 125,
+                "purchases": 15,
+                "rating": 4.5
+            }
+        }
+    
+    logger.info(f"Product statistics updated: {result}")
+    return result
+
+
+@shared_task(
+    bind=True,
+    name="tasks.long_running_task",
+    time_limit=300,  # 5 minutes
+    soft_time_limit=240  # 4 minutes
+)
+def long_running_task(self, iterations: int = 10) -> dict:
+    """
+    Simulates a long-running task with progress tracking.
+    
+    Args:
+        iterations: Number of iterations to simulate
+    
+    Returns:
+        Dictionary with results
+    """
+    logger.info(f"Starting long-running task with {iterations} iterations")
+    
+    results = []
+    for i in range(iterations):
+        # Check if task has been revoked
+        if self.is_aborted():
+            logger.warning("Task was aborted")
+            return {"status": "aborted", "completed_iterations": i}
+        
+        # Simulate work
+        time.sleep(1)
+        
+        # Update progress
+        progress = (i + 1) / iterations * 100
+        self.update_state(
+            state="PROGRESS",
+            meta={"current": i + 1, "total": iterations, "progress": progress}
+        )
+        
+        results.append(f"iteration_{i + 1}")
+        logger.info(f"Completed iteration {i + 1}/{iterations}")
+    
+    final_result = {
+        "status": "completed",
+        "iterations": iterations,
+        "results": results,
+        "completed_at": datetime.now().isoformat()
+    }
+    
+    logger.info(f"Long-running task completed: {final_result}")
+    return final_result

backend/app/config.py

@@ -11,6 +11,23 @@ class Config:
     JWT_REFRESH_TOKEN_EXPIRES = timedelta(days=30)
     CORS_ORIGINS = os.environ.get("CORS_ORIGINS", "*")
     
+    # Celery Configuration
+    CELERY = {
+        "broker_url": os.environ.get("CELERY_BROKER_URL", "redis://redis:6379/0"),
+        "result_backend": os.environ.get("CELERY_RESULT_BACKEND", "redis://redis:6379/0"),
+        "task_serializer": "json",
+        "result_serializer": "json",
+        "accept_content": ["json"],
+        "timezone": "UTC",
+        "enable_utc": True,
+        "task_track_started": True,
+        "task_time_limit": 30 * 60,  # 30 minutes
+        "task_soft_time_limit": 25 * 60,  # 25 minutes
+        "worker_prefetch_multiplier": 1,
+        "worker_max_tasks_per_child": 100,
+        "broker_connection_retry_on_startup": True,
+    }
+
 
 class DevelopmentConfig(Config):
     """Development configuration"""

backend/app/routes/api.py

@@ -2,6 +2,7 @@ from flask import Blueprint, request, jsonify
 from flask_jwt_extended import jwt_required, get_jwt_identity, create_access_token, create_refresh_token
 from app import db
 from app.models import User, Product, OrderItem, Order
+from app.celery import celery
 
 api_bp = Blueprint("api", __name__)
 
@@ -232,3 +233,136 @@ def get_order(order_id):
             return jsonify({"error": "Access denied"}), 403
     
     return jsonify(order.to_dict()), 200
+
+
+# Celery Task Routes
+@api_bp.route("/tasks/hello", methods=["POST"])
+@jwt_required()
+def trigger_hello_task():
+    """Trigger the hello task"""
+    data = request.get_json() or {}
+    name = data.get("name", "World")
+    
+    task = celery.send_task("tasks.print_hello", args=[name])
+    
+    return jsonify({
+        "message": "Hello task triggered",
+        "task_id": task.id,
+        "status": "pending"
+    }), 202
+
+
+@api_bp.route("/tasks/divide", methods=["POST"])
+@jwt_required()
+def trigger_divide_task():
+    """Trigger the divide numbers task"""
+    data = request.get_json() or {}
+    x = data.get("x", 10)
+    y = data.get("y", 2)
+    
+    task = celery.send_task("tasks.divide_numbers", args=[x, y])
+    
+    return jsonify({
+        "message": "Divide task triggered",
+        "task_id": task.id,
+        "operation": f"{x} / {y}",
+        "status": "pending"
+    }), 202
+
+
+@api_bp.route("/tasks/report", methods=["POST"])
+@jwt_required()
+def trigger_report_task():
+    """Trigger the daily report task"""
+    task = celery.send_task("tasks.send_daily_report")
+    
+    return jsonify({
+        "message": "Daily report task triggered",
+        "task_id": task.id,
+        "status": "pending"
+    }), 202
+
+
+@api_bp.route("/tasks/stats", methods=["POST"])
+@jwt_required()
+def trigger_stats_task():
+    """Trigger product statistics update task"""
+    data = request.get_json() or {}
+    product_id = data.get("product_id")
+    
+    if product_id:
+        task = celery.send_task("tasks.update_product_statistics", args=[product_id])
+        message = f"Product statistics update triggered for product {product_id}"
+    else:
+        task = celery.send_task("tasks.update_product_statistics", args=[None])
+        message = "Product statistics update triggered for all products"
+    
+    return jsonify({
+        "message": message,
+        "task_id": task.id,
+        "status": "pending"
+    }), 202
+
+
+@api_bp.route("/tasks/long-running", methods=["POST"])
+@jwt_required()
+def trigger_long_running_task():
+    """Trigger a long-running task"""
+    data = request.get_json() or {}
+    iterations = data.get("iterations", 10)
+    
+    task = celery.send_task("tasks.long_running_task", args=[iterations])
+    
+    return jsonify({
+        "message": f"Long-running task triggered with {iterations} iterations",
+        "task_id": task.id,
+        "status": "pending"
+    }), 202
+
+
+@api_bp.route("/tasks/<task_id>", methods=["GET"])
+@jwt_required()
+def get_task_status(task_id):
+    """Get the status of a Celery task"""
+    task_result = celery.AsyncResult(task_id)
+    
+    response = {
+        "task_id": task_id,
+        "status": task_result.status,
+        "ready": task_result.ready()
+    }
+    
+    if task_result.ready():
+        if task_result.successful():
+            response["result"] = task_result.result
+        else:
+            response["error"] = str(task_result.result)
+            response["traceback"] = task_result.traceback
+    
+    return jsonify(response), 200
+
+
+@api_bp.route("/tasks/health", methods=["GET"])
+def celery_health():
+    """Check Celery health"""
+    try:
+        # Try to ping the worker
+        inspector = celery.control.inspect()
+        stats = inspector.stats()
+        
+        if stats:
+            return jsonify({
+                "status": "healthy",
+                "workers": len(stats),
+                "workers_info": stats
+            }), 200
+        else:
+            return jsonify({
+                "status": "unhealthy",
+                "message": "No workers available"
+            }), 503
+    except Exception as e:
+        return jsonify({
+            "status": "error",
+            "message": str(e)
+        }), 500

backend/celery_worker.py

@@ -0,0 +1,23 @@
+"""
+Celery worker entry point.
+This script is used to start Celery workers and provides the proper Flask context.
+"""
+import os
+
+# Create Flask app (don't export it at module level to avoid conflicts with Celery)
+from app import create_app
+
+_flask_app = create_app(os.getenv("FLASK_ENV", "development"))
+
+# Import and initialize Celery with Flask app context
+from app.celery import celery
+
+# Celery is now configured and ready with Flask app context
+# Workers will use this instance and have access to Flask extensions (db, etc.)
+
+if __name__ == "__main__":
+    # This allows running the worker directly if needed
+    print("Celery worker entry point initialized")
+    print(f"Flask app created: {_flask_app.name}")
+    print(f"Celery broker: {celery.conf.broker_url}")
+    print(f"Celery backend: {celery.conf.result_backend}")

backend/config.py

@@ -10,6 +10,30 @@ class Config:
     JWT_ACCESS_TOKEN_EXPIRES = timedelta(hours=1)
     JWT_REFRESH_TOKEN_EXPIRES = timedelta(days=30)
     
+    # Celery Configuration
+    CELERY = {
+        "broker_url": os.environ.get("CELERY_BROKER_URL", "redis://localhost:6379/0"),
+        "result_backend": os.environ.get("CELERY_RESULT_BACKEND", "redis://localhost:6379/0"),
+        "task_serializer": "json",
+        "result_serializer": "json",
+        "accept_content": ["json"],
+        "timezone": "UTC",
+        "enable_utc": True,
+        "task_track_started": True,
+        "task_time_limit": 30 * 60,  # 30 minutes
+        "task_soft_time_limit": 25 * 60,  # 25 minutes
+        "task_acks_late": True,  # Acknowledge after task completion
+        "task_reject_on_worker_lost": True,  # Re-queue if worker dies
+        "worker_prefetch_multiplier": 1,  # Process one task at a time
+        "worker_max_tasks_per_child": 100,  # Restart worker after 100 tasks
+        "broker_connection_retry_on_startup": True,
+        "broker_connection_max_retries": 5,
+        "result_expires": 3600,  # Results expire in 1 hour
+        "task_default_queue": "default",
+        "task_default_exchange": "default",
+        "task_default_routing_key": "default",
+    }
+
 
 class DevelopmentConfig(Config):
     """Development configuration"""

backend/requirements/base.txt

@@ -7,3 +7,4 @@ psycopg2-binary==2.9.9
 python-dotenv==1.0.0
 Werkzeug==3.0.1
 SQLAlchemy==2.0.23
+celery[redis]==5.3.6

backend/requirements/dev.txt

@@ -8,3 +8,6 @@ flake8==7.0.0
 isort==5.13.2
 mypy==1.7.1
 faker==20.1.0
+
+# Celery monitoring
+flower==2.0.1

docker-compose.yml

@@ -55,6 +55,78 @@ services:
       - crafting-shop-network
     restart: unless-stopped
 
+  celery_worker:
+    build:
+      context: ./backend
+      dockerfile: Dockerfile
+    container_name: crafting-shop-celery-worker
+    command: celery -A celery_worker worker --loglevel=info --concurrency=4
+    environment:
+      - FLASK_ENV=${FLASK_ENV:-prod}
+      - SECRET_KEY=${SECRET_KEY}
+      - JWT_SECRET_KEY=${JWT_SECRET_KEY}
+      - DATABASE_URL=postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@postgres:5432/${POSTGRES_DB}
+      - CELERY_BROKER_URL=redis://redis:6379/0
+      - CELERY_RESULT_BACKEND=redis://redis:6379/0
+    depends_on:
+      - redis
+      - postgres
+      - backend
+    networks:
+      - crafting-shop-network
+    restart: unless-stopped
+    healthcheck:
+      test: ["CMD", "celery", "-A", "celery_worker", "inspect", "ping", "-d", "celery@$$HOSTNAME"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 40s
+
+  celery_beat:
+    build:
+      context: ./backend
+      dockerfile: Dockerfile
+    container_name: crafting-shop-celery-beat
+    command: celery -A celery_worker beat --loglevel=info
+    environment:
+      - FLASK_ENV=${FLASK_ENV:-prod}
+      - SECRET_KEY=${SECRET_KEY}
+      - JWT_SECRET_KEY=${JWT_SECRET_KEY}
+      - DATABASE_URL=postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@postgres:5432/${POSTGRES_DB}
+      - CELERY_BROKER_URL=redis://redis:6379/0
+      - CELERY_RESULT_BACKEND=redis://redis:6379/0
+    depends_on:
+      - redis
+      - postgres
+      - backend
+    networks:
+      - crafting-shop-network
+    restart: unless-stopped
+    volumes:
+      - celery-beat-data:/app/celerybeat
+
+  flower:
+    build:
+      context: ./backend
+      dockerfile: Dockerfile
+    container_name: crafting-shop-flower
+    command: celery -A celery_worker flower --port=5555
+    ports:
+      - "5555:5555"
+    environment:
+      - FLASK_ENV=${FLASK_ENV:-prod}
+      - SECRET_KEY=${SECRET_KEY}
+      - JWT_SECRET_KEY=${JWT_SECRET_KEY}
+      - DATABASE_URL=postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@postgres:5432/${POSTGRES_DB}
+      - CELERY_BROKER_URL=redis://redis:6379/0
+      - CELERY_RESULT_BACKEND=redis://redis:6379/0
+    depends_on:
+      - redis
+      - celery_worker
+    networks:
+      - crafting-shop-network
+    restart: unless-stopped
+
   prometheus:
     image: prom/prometheus:latest
     container_name: crafting-shop-prometheus
@@ -90,6 +162,7 @@ volumes:
   prometheus-data:
   grafana-data:
   backend-data:
+  celery-beat-data:
 
 networks:
   crafting-shop-network: