pip install celery

pip install celery

pip install celery[redis]

pip install celery[redis]

pip install celery[librabbitmq]

pip install celery[librabbitmq]

pip install celery[redis,auth,msgpack]

pip install celery[redis,auth,msgpack]

# Install Redis
# Ubuntu/Debian
sudo apt-get install redis-server

# macOS
brew install redis

# Windows (using Docker)
docker run -d -p 6379:6379 redis:latest

# Install Redis
# Ubuntu/Debian
sudo apt-get install redis-server

# macOS
brew install redis

# Windows (using Docker)
docker run -d -p 6379:6379 redis:latest

# celeryconfig.py
broker_url = 'redis://localhost:6379/0'
result_backend = 'redis://localhost:6379/0'

# celeryconfig.py
broker_url = 'redis://localhost:6379/0'
result_backend = 'redis://localhost:6379/0'

# Ubuntu/Debian
sudo apt-get install rabbitmq-server

# macOS
brew install rabbitmq

# Windows (using Docker)
docker run -d -p 5672:5672 -p 15672:15672 rabbitmq:3-management

# Ubuntu/Debian
sudo apt-get install rabbitmq-server

# macOS
brew install rabbitmq

# Windows (using Docker)
docker run -d -p 5672:5672 -p 15672:15672 rabbitmq:3-management

# celeryconfig.py
broker_url = 'pyamqp://guest@localhost//'
result_backend = 'rpc://'

# celeryconfig.py
broker_url = 'pyamqp://guest@localhost//'
result_backend = 'rpc://'

my_celery_project/
├── app/
│   ├── __init__.py
│   ├── celery.py          # Celery configuration
│   ├── tasks.py           # Task definitions
│   └── config.py          # Application config
├── requirements.txt
├── docker-compose.yml     # For broker services
└── README.md

my_celery_project/
├── app/
│   ├── __init__.py
│   ├── celery.py          # Celery configuration
│   ├── tasks.py           # Task definitions
│   └── config.py          # Application config
├── requirements.txt
├── docker-compose.yml     # For broker services
└── README.md

# app/celery.py
from celery import Celery

# Create Celery instance
app = Celery('my_celery_project')

# Load configuration
app.config_from_object('app.config')

# Auto-discover tasks
app.autodiscover_tasks(['app'])

if __name__ == '__main__':
    app.start()

# app/celery.py
from celery import Celery

# Create Celery instance
app = Celery('my_celery_project')

# Load configuration
app.config_from_object('app.config')

# Auto-discover tasks
app.autodiscover_tasks(['app'])

if __name__ == '__main__':
    app.start()

# app/config.py
from kombu import Queue

# Broker settings
broker_url = 'redis://localhost:6379/0'
result_backend = 'redis://localhost:6379/0'

# Task settings
task_serializer = 'json'
accept_content = ['json']
result_serializer = 'json'
timezone = 'UTC'
enable_utc = True

# Worker settings
worker_prefetch_multiplier = 1
task_acks_late = True

# Queue configuration
task_routes = {
    'app.tasks.send_email': {'queue': 'email'},
    'app.tasks.process_image': {'queue': 'images'},
}

task_default_queue = 'default'
task_queues = (
    Queue('default'),
    Queue('email'),
    Queue('images'),
)

# app/config.py
from kombu import Queue

# Broker settings
broker_url = 'redis://localhost:6379/0'
result_backend = 'redis://localhost:6379/0'

# Task settings
task_serializer = 'json'
accept_content = ['json']
result_serializer = 'json'
timezone = 'UTC'
enable_utc = True

# Worker settings
worker_prefetch_multiplier = 1
task_acks_late = True

# Queue configuration
task_routes = {
    'app.tasks.send_email': {'queue': 'email'},
    'app.tasks.process_image': {'queue': 'images'},
}

task_default_queue = 'default'
task_queues = (
    Queue('default'),
    Queue('email'),
    Queue('images'),
)

# docker-compose.yml
version: '3.8'

services:
  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"

  rabbitmq:
    image: rabbitmq:3-management-alpine
    ports:
      - "5672:5672"
      - "15672:15672"
    environment:
      RABBITMQ_DEFAULT_USER: guest
      RABBITMQ_DEFAULT_PASS: guest

  flower:
    image: mher/flower:0.9.7
    ports:
      - "5555:5555"
    environment:
      CELERY_BROKER_URL: redis://redis:6379/0
      FLOWER_PORT: 5555
    depends_on:
      - redis

# docker-compose.yml
version: '3.8'

services:
  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"

  rabbitmq:
    image: rabbitmq:3-management-alpine
    ports:
      - "5672:5672"
      - "15672:15672"
    environment:
      RABBITMQ_DEFAULT_USER: guest
      RABBITMQ_DEFAULT_PASS: guest

  flower:
    image: mher/flower:0.9.7
    ports:
      - "5555:5555"
    environment:
      CELERY_BROKER_URL: redis://redis:6379/0
      FLOWER_PORT: 5555
    depends_on:
      - redis

# requirements.txt
celery[redis]==5.3.4
flower==2.0.1
redis==5.0.1
kombu==5.3.4

# requirements.txt
celery[redis]==5.3.4
flower==2.0.1
redis==5.0.1
kombu==5.3.4

# app/tasks.py
from .celery import app
import time

@app.task
def add_numbers(x, y):
    """A simple task that adds two numbers."""
    time.sleep(2)  # Simulate some work
    return x + y

@app.task
def send_notification(message, recipient):
    """Simulate sending a notification."""
    print(f"Sending '{message}' to {recipient}")
    time.sleep(3)  # Simulate network delay
    return f"Notification sent to {recipient}"

@app.task(bind=True)
def long_running_task(self, duration):
    """A task that reports its progress."""
    for i in range(duration):
        time.sleep(1)
        self.update_state(
            state='PROGRESS',
            meta={'current': i + 1, 'total': duration}
        )
    return {'current': duration, 'total': duration, 'status': 'Complete!'}

# app/tasks.py
from .celery import app
import time

@app.task
def add_numbers(x, y):
    """A simple task that adds two numbers."""
    time.sleep(2)  # Simulate some work
    return x + y

@app.task
def send_notification(message, recipient):
    """Simulate sending a notification."""
    print(f"Sending '{message}' to {recipient}")
    time.sleep(3)  # Simulate network delay
    return f"Notification sent to {recipient}"

@app.task(bind=True)
def long_running_task(self, duration):
    """A task that reports its progress."""
    for i in range(duration):
        time.sleep(1)
        self.update_state(
            state='PROGRESS',
            meta={'current': i + 1, 'total': duration}
        )
    return {'current': duration, 'total': duration, 'status': 'Complete!'}

# Basic worker
celery -A app.celery worker --loglevel=info

# Worker with specific queues
celery -A app.celery worker --loglevel=info -Q email,images

# Worker with concurrency control
celery -A app.celery worker --loglevel=info --concurrency=4

# Development worker with auto-reload
celery -A app.celery worker --loglevel=info --reload

# Basic worker
celery -A app.celery worker --loglevel=info

# Worker with specific queues
celery -A app.celery worker --loglevel=info -Q email,images

# Worker with concurrency control
celery -A app.celery worker --loglevel=info --concurrency=4

# Development worker with auto-reload
celery -A app.celery worker --loglevel=info --reload

 -------------- celery@hostname v5.3.4 (emerald-rush)
--- ***** ----- 
-- ******* ---- Linux-5.15.0 2023-10-01 10:00:00
- *** --- * --- 
- ** ---------- [config]
- ** ---------- .> app:         app:0x7f8b8c0a1234
- ** ---------- .> transport:   redis://localhost:6379/0
- ** ---------- .> results:     redis://localhost:6379/0
- *** --- * --- .> concurrency: 8 (prefork)
-- ******* ---- .> task events: OFF (enable -E to monitor tasks in this worker)
--- ***** ----- 
 -------------- [queues]
                .> celery           exchange=celery(direct) key=celery

[tasks]
  . app.tasks.add_numbers
  . app.tasks.send_notification
  . app.tasks.long_running_task

[2023-10-01 10:00:00,000: INFO/MainProcess] Connected to redis://localhost:6379/0
[2023-10-01 10:00:00,000: INFO/MainProcess] mingle: searching for neighbors
[2023-10-01 10:00:00,000: INFO/MainProcess] mingle: all alone
[2023-10-01 10:00:00,000: INFO/MainProcess] celery@hostname ready.

 -------------- celery@hostname v5.3.4 (emerald-rush)
--- ***** ----- 
-- ******* ---- Linux-5.15.0 2023-10-01 10:00:00
- *** --- * --- 
- ** ---------- [config]
- ** ---------- .> app:         app:0x7f8b8c0a1234
- ** ---------- .> transport:   redis://localhost:6379/0
- ** ---------- .> results:     redis://localhost:6379/0
- *** --- * --- .> concurrency: 8 (prefork)
-- ******* ---- .> task events: OFF (enable -E to monitor tasks in this worker)
--- ***** ----- 
 -------------- [queues]
                .> celery           exchange=celery(direct) key=celery

[tasks]
  . app.tasks.add_numbers
  . app.tasks.send_notification
  . app.tasks.long_running_task

[2023-10-01 10:00:00,000: INFO/MainProcess] Connected to redis://localhost:6379/0
[2023-10-01 10:00:00,000: INFO/MainProcess] mingle: searching for neighbors
[2023-10-01 10:00:00,000: INFO/MainProcess] mingle: all alone
[2023-10-01 10:00:00,000: INFO/MainProcess] celery@hostname ready.

# client.py
from app.tasks import add_numbers, send_notification

# Asynchronous call (non-blocking)
result = add_numbers.delay(4, 4)
print(f"Task ID: {result.id}")
print(f"Task State: {result.state}")

# Get result (blocking)
answer = result.get(timeout=10)
print(f"Result: {answer}")

# Non-blocking result check
if result.ready():
    print(f"Task completed: {result.result}")
else:
    print("Task still running...")

# client.py
from app.tasks import add_numbers, send_notification

# Asynchronous call (non-blocking)
result = add_numbers.delay(4, 4)
print(f"Task ID: {result.id}")
print(f"Task State: {result.state}")

# Get result (blocking)
answer = result.get(timeout=10)
print(f"Result: {answer}")

# Non-blocking result check
if result.ready():
    print(f"Task completed: {result.result}")
else:
    print("Task still running...")

from app.tasks import send_notification
from datetime import datetime, timedelta

# Schedule task for later
eta = datetime.now() + timedelta(minutes=5)
result = send_notification.apply_async(
    args=['Hello!', 'user@example.com'],
    eta=eta,
    retry=True,
    retry_policy={
        'max_retries': 3,
        'interval_start': 0,
        'interval_step': 0.2,
        'interval_max': 0.2,
    }
)

from app.tasks import send_notification
from datetime import datetime, timedelta

# Schedule task for later
eta = datetime.now() + timedelta(minutes=5)
result = send_notification.apply_async(
    args=['Hello!', 'user@example.com'],
    eta=eta,
    retry=True,
    retry_policy={
        'max_retries': 3,
        'interval_start': 0,
        'interval_step': 0.2,
        'interval_max': 0.2,
    }
)

from app.tasks import long_running_task
import time

# Start a long-running task
result = long_running_task.delay(10)

# Monitor progress
while not result.ready():
    if result.state == 'PROGRESS':
        meta = result.info
        print(f"Progress: {meta['current']}/{meta['total']}")
    time.sleep(1)

print(f"Final result: {result.result}")

from app.tasks import long_running_task
import time

# Start a long-running task
result = long_running_task.delay(10)

# Monitor progress
while not result.ready():
    if result.state == 'PROGRESS':
        meta = result.info
        print(f"Progress: {meta['current']}/{meta['total']}")
    time.sleep(1)

print(f"Final result: {result.result}")

from app.tasks import add_numbers

result = add_numbers.delay(4, 4)

# Check various states
print(f"State: {result.state}")
print(f"Info: {result.info}")

# State-specific information
if result.state == 'PENDING':
    print("Task is waiting to be processed")
elif result.state == 'PROGRESS':
    print(f"Progress: {result.info}")
elif result.state == 'SUCCESS':
    print(f"Result: {result.result}")
elif result.state == 'FAILURE':
    print(f"Error: {result.info}")

from app.tasks import add_numbers

result = add_numbers.delay(4, 4)

# Check various states
print(f"State: {result.state}")
print(f"Info: {result.info}")

# State-specific information
if result.state == 'PENDING':
    print("Task is waiting to be processed")
elif result.state == 'PROGRESS':
    print(f"Progress: {result.info}")
elif result.state == 'SUCCESS':
    print(f"Result: {result.result}")
elif result.state == 'FAILURE':
    print(f"Error: {result.info}")

# app/tasks.py
from celery.exceptions import Retry
import random

@app.task(bind=True)
def unreliable_task(self):
    """A task that sometimes fails."""
    if random.random() < 0.5:
        raise Exception("Random failure occurred")
    return "Task completed successfully"

@app.task(bind=True, autoretry_for=(Exception,), retry_kwargs={'max_retries': 3})
def auto_retry_task(self):
    """A task with automatic retry on exceptions."""
    if random.random() < 0.7:
        raise Exception("Task failed, will retry automatically")
    return "Success after retries"

@app.task(bind=True)
def manual_retry_task(self, data):
    """A task with manual retry logic."""
    try:
        # Simulate processing
        if random.random() < 0.5:
            raise Exception("Processing failed")
        return f"Processed: {data}"
    except Exception as exc:
        # Retry with exponential backoff
        raise self.retry(exc=exc, countdown=2 ** self.request.retries)

# app/tasks.py
from celery.exceptions import Retry
import random

@app.task(bind=True)
def unreliable_task(self):
    """A task that sometimes fails."""
    if random.random() < 0.5:
        raise Exception("Random failure occurred")
    return "Task completed successfully"

@app.task(bind=True, autoretry_for=(Exception,), retry_kwargs={'max_retries': 3})
def auto_retry_task(self):
    """A task with automatic retry on exceptions."""
    if random.random() < 0.7:
        raise Exception("Task failed, will retry automatically")
    return "Success after retries"

@app.task(bind=True)
def manual_retry_task(self, data):
    """A task with manual retry logic."""
    try:
        # Simulate processing
        if random.random() < 0.5:
            raise Exception("Processing failed")
        return f"Processed: {data}"
    except Exception as exc:
        # Retry with exponential backoff
        raise self.retry(exc=exc, countdown=2 ** self.request.retries)

# complete_example.py
from celery import Celery
import time
import random

# Create Celery app
app = Celery('complete_example')
app.conf.update(
    broker_url='redis://localhost:6379/0',
    result_backend='redis://localhost:6379/0',
    task_serializer='json',
    accept_content=['json'],
    result_serializer='json',
)

@app.task
def process_order(order_id, items):
    """Process an e-commerce order."""
    print(f"Processing order {order_id} with {len(items)} items")

    # Simulate processing time
    time.sleep(2)

    # Calculate total
    total = sum(item['price'] * item['quantity'] for item in items)

    # Simulate occasional failure
    if random.random() < 0.1:
        raise Exception(f"Payment failed for order {order_id}")

    return {
        'order_id': order_id,
        'total': total,
        'status': 'completed',
        'processed_at': time.time()
    }

@app.task
def send_confirmation_email(order_data):
    """Send order confirmation email."""
    print(f"Sending confirmation for order {order_data['order_id']}")
    time.sleep(1)  # Simulate email sending
    return f"Email sent for order {order_data['order_id']}"

# Usage example
if __name__ == '__main__':
    # Simulate order processing
    order_items = [
        {'name': 'Widget A', 'price': 10.00, 'quantity': 2},
        {'name': 'Widget B', 'price': 15.00, 'quantity': 1},
    ]

    # Process order asynchronously
    order_result = process_order.delay('ORD-001', order_items)

    print(f"Order processing started: {order_result.id}")

    # Wait for result
    try:
        order_data = order_result.get(timeout=10)
        print(f"Order processed: {order_data}")

        # Send confirmation email
        email_result = send_confirmation_email.delay(order_data)
        email_response = email_result.get(timeout=5)
        print(f"Email result: {email_response}")

    except Exception as e:
        print(f"Order processing failed: {e}")

# complete_example.py
from celery import Celery
import time
import random

# Create Celery app
app = Celery('complete_example')
app.conf.update(
    broker_url='redis://localhost:6379/0',
    result_backend='redis://localhost:6379/0',
    task_serializer='json',
    accept_content=['json'],
    result_serializer='json',
)

@app.task
def process_order(order_id, items):
    """Process an e-commerce order."""
    print(f"Processing order {order_id} with {len(items)} items")

    # Simulate processing time
    time.sleep(2)

    # Calculate total
    total = sum(item['price'] * item['quantity'] for item in items)

    # Simulate occasional failure
    if random.random() < 0.1:
        raise Exception(f"Payment failed for order {order_id}")

    return {
        'order_id': order_id,
        'total': total,
        'status': 'completed',
        'processed_at': time.time()
    }

@app.task
def send_confirmation_email(order_data):
    """Send order confirmation email."""
    print(f"Sending confirmation for order {order_data['order_id']}")
    time.sleep(1)  # Simulate email sending
    return f"Email sent for order {order_data['order_id']}"

# Usage example
if __name__ == '__main__':
    # Simulate order processing
    order_items = [
        {'name': 'Widget A', 'price': 10.00, 'quantity': 2},
        {'name': 'Widget B', 'price': 15.00, 'quantity': 1},
    ]

    # Process order asynchronously
    order_result = process_order.delay('ORD-001', order_items)

    print(f"Order processing started: {order_result.id}")

    # Wait for result
    try:
        order_data = order_result.get(timeout=10)
        print(f"Order processed: {order_data}")

        # Send confirmation email
        email_result = send_confirmation_email.delay(order_data)
        email_response = email_result.get(timeout=5)
        print(f"Email result: {email_response}")

    except Exception as e:
        print(f"Order processing failed: {e}")

# app/task_types.py
from celery import Task
from .celery import app
import time

# Basic task
@app.task
def simple_task(name):
    return f"Hello, {name}!"

# Task with custom name
@app.task(name='custom.task.name')
def named_task():
    return "Task with custom name"

# Bound task (has access to self)
@app.task(bind=True)
def bound_task(self, x, y):
    print(f"Task ID: {self.request.id}")
    print(f"Task name: {self.name}")
    return x + y

# Task with custom base class
class CallbackTask(Task):
    """Custom task class with callbacks."""

    def on_success(self, retval, task_id, args, kwargs):
        print(f"Task {task_id} succeeded: {retval}")

    def on_failure(self, exc, task_id, args, kwargs, einfo):
        print(f"Task {task_id} failed: {exc}")

@app.task(base=CallbackTask)
def callback_task(value):
    if value < 0:
        raise ValueError("Value must be positive")
    return value * 2

# Task with multiple decorators
@app.task(
    bind=True,
    autoretry_for=(Exception,),
    retry_kwargs={'max_retries': 3, 'countdown': 60},
    retry_backoff=True,
    retry_jitter=True
)
def robust_task(self, data):
    # Simulate unreliable operation
    import random
    if random.random() < 0.3:
        raise Exception("Random failure")
    return f"Processed: {data}"

# app/task_types.py
from celery import Task
from .celery import app
import time

# Basic task
@app.task
def simple_task(name):
    return f"Hello, {name}!"

# Task with custom name
@app.task(name='custom.task.name')
def named_task():
    return "Task with custom name"

# Bound task (has access to self)
@app.task(bind=True)
def bound_task(self, x, y):
    print(f"Task ID: {self.request.id}")
    print(f"Task name: {self.name}")
    return x + y

# Task with custom base class
class CallbackTask(Task):
    """Custom task class with callbacks."""

    def on_success(self, retval, task_id, args, kwargs):
        print(f"Task {task_id} succeeded: {retval}")

    def on_failure(self, exc, task_id, args, kwargs, einfo):
        print(f"Task {task_id} failed: {exc}")

@app.task(base=CallbackTask)
def callback_task(value):
    if value < 0:
        raise ValueError("Value must be positive")
    return value * 2

# Task with multiple decorators
@app.task(
    bind=True,
    autoretry_for=(Exception,),
    retry_kwargs={'max_retries': 3, 'countdown': 60},
    retry_backoff=True,
    retry_jitter=True
)
def robust_task(self, data):
    # Simulate unreliable operation
    import random
    if random.random() < 0.3:
        raise Exception("Random failure")
    return f"Processed: {data}"

# app/context_tasks.py
@app.task(bind=True)
def inspect_context(self):
    """Task that inspects its execution context."""
    request = self.request

    context_info = {
        'task_id': request.id,
        'task_name': self.name,
        'args': request.args,
        'kwargs': request.kwargs,
        'retries': request.retries,
        'is_eager': request.is_eager,
        'eta': request.eta,
        'expires': request.expires,
        'hostname': request.hostname,
        'delivery_info': request.delivery_info,
    }

    return context_info

# Usage
result = inspect_context.delay()
print(result.get())

# app/context_tasks.py
@app.task(bind=True)
def inspect_context(self):
    """Task that inspects its execution context."""
    request = self.request

    context_info = {
        'task_id': request.id,
        'task_name': self.name,
        'args': request.args,
        'kwargs': request.kwargs,
        'retries': request.retries,
        'is_eager': request.is_eager,
        'eta': request.eta,
        'expires': request.expires,
        'hostname': request.hostname,
        'delivery_info': request.delivery_info,
    }

    return context_info

# Usage
result = inspect_context.delay()
print(result.get())

# worker_config.py
from celery import Celery

app = Celery('worker_demo')

# Prefork (default) - CPU-bound tasks
# Good for: CPU-intensive tasks, fault isolation
app.conf.update(
    worker_concurrency=4,
    worker_pool='prefork',
    worker_prefetch_multiplier=1,
)

# Eventlet - I/O-bound tasks
# Good for: High concurrency I/O operations
app.conf.update(
    worker_concurrency=1000,
    worker_pool='eventlet',
    worker_prefetch_multiplier=1,
)

# Gevent - I/O-bound tasks
# Good for: Network operations, database queries
app.conf.update(
    worker_concurrency=1000,
    worker_pool='gevent',
    worker_prefetch_multiplier=1,
)

# Threads - Balanced approach
# Good for: Mixed workloads
app.conf.update(
    worker_concurrency=10,
    worker_pool='threads',
    worker_prefetch_multiplier=1,
)

# worker_config.py
from celery import Celery

app = Celery('worker_demo')

# Prefork (default) - CPU-bound tasks
# Good for: CPU-intensive tasks, fault isolation
app.conf.update(
    worker_concurrency=4,
    worker_pool='prefork',
    worker_prefetch_multiplier=1,
)

# Eventlet - I/O-bound tasks
# Good for: High concurrency I/O operations
app.conf.update(
    worker_concurrency=1000,
    worker_pool='eventlet',
    worker_prefetch_multiplier=1,
)

# Gevent - I/O-bound tasks
# Good for: Network operations, database queries
app.conf.update(
    worker_concurrency=1000,
    worker_pool='gevent',
    worker_prefetch_multiplier=1,
)

# Threads - Balanced approach
# Good for: Mixed workloads
app.conf.update(
    worker_concurrency=10,
    worker_pool='threads',
    worker_prefetch_multiplier=1,
)

# Default prefork worker
celery -A app worker --loglevel=info

# High concurrency with eventlet
celery -A app worker --pool=eventlet --concurrency=1000

# Gevent worker for I/O operations
celery -A app worker --pool=gevent --concurrency=500

# Thread-based worker
celery -A app worker --pool=threads --concurrency=10

# Single process for debugging
celery -A app worker --pool=solo

# Multiple workers with different pools
celery -A app worker --pool=prefork --concurrency=4 -n worker1@%h &
celery -A app worker --pool=eventlet --concurrency=1000 -n worker2@%h &

# Default prefork worker
celery -A app worker --loglevel=info

# High concurrency with eventlet
celery -A app worker --pool=eventlet --concurrency=1000

# Gevent worker for I/O operations
celery -A app worker --pool=gevent --concurrency=500

# Thread-based worker
celery -A app worker --pool=threads --concurrency=10

# Single process for debugging
celery -A app worker --pool=solo

# Multiple workers with different pools
celery -A app worker --pool=prefork --concurrency=4 -n worker1@%h &
celery -A app worker --pool=eventlet --concurrency=1000 -n worker2@%h &

# Redis Configuration
redis_config = {
    'broker_url': 'redis://localhost:6379/0',
    'result_backend': 'redis://localhost:6379/0',

    # Redis-specific settings
    'redis_max_connections': 20,
    'redis_retry_on_timeout': True,
    'redis_socket_connect_timeout': 30,
    'redis_socket_timeout': 30,

    # Connection pool settings
    'broker_pool_limit': 10,
    'broker_connection_timeout': 4,
    'broker_connection_retry_on_startup': True,
}

# RabbitMQ Configuration
rabbitmq_config = {
    'broker_url': 'pyamqp://guest@localhost//',
    'result_backend': 'rpc://',

    # RabbitMQ-specific settings
    'broker_heartbeat': 30,
    'broker_connection_timeout': 30,
    'broker_connection_retry_on_startup': True,
    'broker_connection_max_retries': 3,

    # Queue settings
    'task_queue_max_priority': 10,
    'worker_prefetch_multiplier': 1,
    'task_acks_late': True,
}

# Amazon SQS Configuration
sqs_config = {
    'broker_url': 'sqs://AKIAIOSFODNN7EXAMPLE:wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY@',
    'broker_transport_options': {
        'region': 'us-east-1',
        'visibility_timeout': 60,
        'polling_interval': 1,
    },
    'task_default_queue': 'celery',
    'task_queues': {
        'celery': {
            'url': 'https://sqs.us-east-1.amazonaws.com/123456789012/celery'
        }
    }
}

# Redis Configuration
redis_config = {
    'broker_url': 'redis://localhost:6379/0',
    'result_backend': 'redis://localhost:6379/0',

    # Redis-specific settings
    'redis_max_connections': 20,
    'redis_retry_on_timeout': True,
    'redis_socket_connect_timeout': 30,
    'redis_socket_timeout': 30,

    # Connection pool settings
    'broker_pool_limit': 10,
    'broker_connection_timeout': 4,
    'broker_connection_retry_on_startup': True,
}

# RabbitMQ Configuration
rabbitmq_config = {
    'broker_url': 'pyamqp://guest@localhost//',
    'result_backend': 'rpc://',

    # RabbitMQ-specific settings
    'broker_heartbeat': 30,
    'broker_connection_timeout': 30,
    'broker_connection_retry_on_startup': True,
    'broker_connection_max_retries': 3,

    # Queue settings
    'task_queue_max_priority': 10,
    'worker_prefetch_multiplier': 1,
    'task_acks_late': True,
}

# Amazon SQS Configuration
sqs_config = {
    'broker_url': 'sqs://AKIAIOSFODNN7EXAMPLE:wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY@',
    'broker_transport_options': {
        'region': 'us-east-1',
        'visibility_timeout': 60,
        'polling_interval': 1,
    },
    'task_default_queue': 'celery',
    'task_queues': {
        'celery': {
            'url': 'https://sqs.us-east-1.amazonaws.com/123456789012/celery'
        }
    }
}

# Redis Result Backend
redis_result_config = {
    'result_backend': 'redis://localhost:6379/0',
    'result_backend_transport_options': {
        'master_name': 'mymaster',
        'retry_on_timeout': True,
    },
    'result_expires': 3600,  # 1 hour
    'result_persistent': True,
}

# Database Result Backend
database_result_config = {
    'result_backend': 'db+postgresql://user:pass@localhost/celery',
    'result_backend_transport_options': {
        'echo': True,  # SQL query logging
    },
    'database_table_names': {
        'task': 'custom_task_table',
        'group': 'custom_group_table',
    }
}

# File System Result Backend
filesystem_result_config = {
    'result_backend': 'file:///var/celery/results',
    'result_expires': 3600,
}

# Cache Result Backend (Memcached)
cache_result_config = {
    'result_backend': 'cache+memcached://127.0.0.1:11211/',
    'cache_backend_options': {
        'binary': True,
        'behaviors': {'tcp_nodelay': True}
    }
}

# Redis Result Backend
redis_result_config = {
    'result_backend': 'redis://localhost:6379/0',
    'result_backend_transport_options': {
        'master_name': 'mymaster',
        'retry_on_timeout': True,
    },
    'result_expires': 3600,  # 1 hour
    'result_persistent': True,
}

# Database Result Backend
database_result_config = {
    'result_backend': 'db+postgresql://user:pass@localhost/celery',
    'result_backend_transport_options': {
        'echo': True,  # SQL query logging
    },
    'database_table_names': {
        'task': 'custom_task_table',
        'group': 'custom_group_table',
    }
}

# File System Result Backend
filesystem_result_config = {
    'result_backend': 'file:///var/celery/results',
    'result_expires': 3600,
}

# Cache Result Backend (Memcached)
cache_result_config = {
    'result_backend': 'cache+memcached://127.0.0.1:11211/',
    'cache_backend_options': {
        'binary': True,
        'behaviors': {'tcp_nodelay': True}
    }
}

# serialization_config.py
from kombu.serialization import register
import json

# Basic serialization configuration
app.conf.update(
    task_serializer='json',
    accept_content=['json'],
    result_serializer='json',

    # Enable compression
    task_compression='gzip',
    result_compression='gzip',
)

# Custom JSON serializer with datetime support
from datetime import datetime
import json

class DateTimeEncoder(json.JSONEncoder):
    def default(self, obj):
        if isinstance(obj, datetime):
            return obj.isoformat()
        return super().default(obj)

def datetime_decoder(dct):
    for key, value in dct.items():
        if isinstance(value, str):
            try:
                dct[key] = datetime.fromisoformat(value)
            except ValueError:
                pass
    return dct

def dumps(obj):
    return json.dumps(obj, cls=DateTimeEncoder)

def loads(data):
    return json.loads(data, object_hook=datetime_decoder)

# Register custom serializer
register('datetime_json', dumps, loads,
         content_type='application/x-datetime-json',
         content_encoding='utf-8')

# Use custom serializer
app.conf.update(
    task_serializer='datetime_json',
    accept_content=['datetime_json'],
    result_serializer='datetime_json',
)

# serialization_config.py
from kombu.serialization import register
import json

# Basic serialization configuration
app.conf.update(
    task_serializer='json',
    accept_content=['json'],
    result_serializer='json',

    # Enable compression
    task_compression='gzip',
    result_compression='gzip',
)

# Custom JSON serializer with datetime support
from datetime import datetime
import json

class DateTimeEncoder(json.JSONEncoder):
    def default(self, obj):
        if isinstance(obj, datetime):
            return obj.isoformat()
        return super().default(obj)

def datetime_decoder(dct):
    for key, value in dct.items():
        if isinstance(value, str):
            try:
                dct[key] = datetime.fromisoformat(value)
            except ValueError:
                pass
    return dct

def dumps(obj):
    return json.dumps(obj, cls=DateTimeEncoder)

def loads(data):
    return json.loads(data, object_hook=datetime_decoder)

# Register custom serializer
register('datetime_json', dumps, loads,
         content_type='application/x-datetime-json',
         content_encoding='utf-8')

# Use custom serializer
app.conf.update(
    task_serializer='datetime_json',
    accept_content=['datetime_json'],
    result_serializer='datetime_json',
)

# security_config.py
# NEVER use pickle in production with untrusted data
INSECURE_CONFIG = {
    'task_serializer': 'pickle',
    'accept_content': ['pickle'],
    'result_serializer': 'pickle',
}

# Secure configuration
SECURE_CONFIG = {
    'task_serializer': 'json',
    'accept_content': ['json'],
    'result_serializer': 'json',

    # Additional security
    'worker_hijack_root_logger': False,
    'worker_log_color': False,
    'task_reject_on_worker_lost': True,
}

# Content type validation
app.conf.update(
    accept_content=['json'],
    task_serializer='json',
    result_serializer='json',

    # Reject unknown content types
    task_always_eager=False,
    task_eager_propagates=True,
)

# security_config.py
# NEVER use pickle in production with untrusted data
INSECURE_CONFIG = {
    'task_serializer': 'pickle',
    'accept_content': ['pickle'],
    'result_serializer': 'pickle',
}

# Secure configuration
SECURE_CONFIG = {
    'task_serializer': 'json',
    'accept_content': ['json'],
    'result_serializer': 'json',

    # Additional security
    'worker_hijack_root_logger': False,
    'worker_log_color': False,
    'task_reject_on_worker_lost': True,
}

# Content type validation
app.conf.update(
    accept_content=['json'],
    task_serializer='json',
    result_serializer='json',

    # Reject unknown content types
    task_always_eager=False,
    task_eager_propagates=True,
)

# complex_serialization.py
from decimal import Decimal
from datetime import datetime, date
import uuid

# Custom serialization for complex types
class ComplexTypeTask:

    @staticmethod
    def serialize_complex_data(data):
        """Serialize complex Python objects to JSON-compatible format."""
        if isinstance(data, Decimal):
            return {'__type__': 'Decimal', 'value': str(data)}
        elif isinstance(data, datetime):
            return {'__type__': 'datetime', 'value': data.isoformat()}
        elif isinstance(data, date):
            return {'__type__': 'date', 'value': data.isoformat()}
        elif isinstance(data, uuid.UUID):
            return {'__type__': 'UUID', 'value': str(data)}
        elif isinstance(data, set):
            return {'__type__': 'set', 'value': list(data)}
        return data

    @staticmethod
    def deserialize_complex_data(data):
        """Deserialize JSON data back to Python objects."""
        if isinstance(data, dict) and '__type__' in data:
            type_name = data['__type__']
            value = data['value']

            if type_name == 'Decimal':
                return Decimal(value)
            elif type_name == 'datetime':
                return datetime.fromisoformat(value)
            elif type_name == 'date':
                return date.fromisoformat(value)
            elif type_name == 'UUID':
                return uuid.UUID(value)
            elif type_name == 'set':
                return set(value)
        return data

@app.task
def process_complex_data(data):
    """Task that handles complex data types."""
    # Deserialize incoming data
    processed_data = ComplexTypeTask.deserialize_complex_data(data)

    # Process the data
    if isinstance(processed_data, Decimal):
        result = processed_data * 2
    elif isinstance(processed_data, datetime):
        result = processed_data.strftime('%Y-%m-%d %H:%M:%S')
    else:
        result = f"Processed: {processed_data}"

    # Return serializable result
    return ComplexTypeTask.serialize_complex_data(result)

# Usage example
complex_data = {
    'price': Decimal('19.99'),
    'created_at': datetime.now(),
    'tags': {'python', 'celery', 'async'},
    'id': uuid.uuid4(),
}

# Serialize before sending
serialized_data = ComplexTypeTask.serialize_complex_data(complex_data)
result = process_complex_data.delay(serialized_data)

# complex_serialization.py
from decimal import Decimal
from datetime import datetime, date
import uuid

# Custom serialization for complex types
class ComplexTypeTask:

    @staticmethod
    def serialize_complex_data(data):
        """Serialize complex Python objects to JSON-compatible format."""
        if isinstance(data, Decimal):
            return {'__type__': 'Decimal', 'value': str(data)}
        elif isinstance(data, datetime):
            return {'__type__': 'datetime', 'value': data.isoformat()}
        elif isinstance(data, date):
            return {'__type__': 'date', 'value': data.isoformat()}
        elif isinstance(data, uuid.UUID):
            return {'__type__': 'UUID', 'value': str(data)}
        elif isinstance(data, set):
            return {'__type__': 'set', 'value': list(data)}
        return data

    @staticmethod
    def deserialize_complex_data(data):
        """Deserialize JSON data back to Python objects."""
        if isinstance(data, dict) and '__type__' in data:
            type_name = data['__type__']
            value = data['value']

            if type_name == 'Decimal':
                return Decimal(value)
            elif type_name == 'datetime':
                return datetime.fromisoformat(value)
            elif type_name == 'date':
                return date.fromisoformat(value)
            elif type_name == 'UUID':
                return uuid.UUID(value)
            elif type_name == 'set':
                return set(value)
        return data

@app.task
def process_complex_data(data):
    """Task that handles complex data types."""
    # Deserialize incoming data
    processed_data = ComplexTypeTask.deserialize_complex_data(data)

    # Process the data
    if isinstance(processed_data, Decimal):
        result = processed_data * 2
    elif isinstance(processed_data, datetime):
        result = processed_data.strftime('%Y-%m-%d %H:%M:%S')
    else:
        result = f"Processed: {processed_data}"

    # Return serializable result
    return ComplexTypeTask.serialize_complex_data(result)

# Usage example
complex_data = {
    'price': Decimal('19.99'),
    'created_at': datetime.now(),
    'tags': {'python', 'celery', 'async'},
    'id': uuid.uuid4(),
}

# Serialize before sending
serialized_data = ComplexTypeTask.serialize_complex_data(complex_data)
result = process_complex_data.delay(serialized_data)

# app/__init__.py
from celery import Celery

app = Celery('myapp')

# Method 1: Explicit include
app.conf.include = [
    'app.tasks.email',
    'app.tasks.image_processing',
    'app.tasks.reports',
]

# Method 2: Auto-discovery from installed apps (Django-style)
app.autodiscover_tasks(['app.tasks', 'app.background_jobs'])

# Method 3: Auto-discovery with lambda
app.autodiscover_tasks(lambda: ['app.tasks'])

# Method 4: Scan all Python packages
import pkgutil
def find_task_modules():
    """Find all modules containing tasks."""
    task_modules = []
    for importer, modname, ispkg in pkgutil.walk_packages(['app']):
        if 'tasks' in modname:
            task_modules.append(f'app.{modname}')
    return task_modules

app.autodiscover_tasks(find_task_modules)

# app/__init__.py
from celery import Celery

app = Celery('myapp')

# Method 1: Explicit include
app.conf.include = [
    'app.tasks.email',
    'app.tasks.image_processing',
    'app.tasks.reports',
]

# Method 2: Auto-discovery from installed apps (Django-style)
app.autodiscover_tasks(['app.tasks', 'app.background_jobs'])

# Method 3: Auto-discovery with lambda
app.autodiscover_tasks(lambda: ['app.tasks'])

# Method 4: Scan all Python packages
import pkgutil
def find_task_modules():
    """Find all modules containing tasks."""
    task_modules = []
    for importer, modname, ispkg in pkgutil.walk_packages(['app']):
        if 'tasks' in modname:
            task_modules.append(f'app.{modname}')
    return task_modules

app.autodiscover_tasks(find_task_modules)

app/
├── __init__.py
├── celery.py
├── tasks/
│   ├── __init__.py
│   ├── email.py          # Email-related tasks
│   ├── image.py          # Image processing tasks
│   ├── reports.py        # Report generation tasks
│   ├── cleanup.py        # Maintenance tasks
│   └── integrations/
│       ├── __init__.py
│       ├── social.py     # Social media tasks
│       └── payments.py   # Payment processing tasks

app/
├── __init__.py
├── celery.py
├── tasks/
│   ├── __init__.py
│   ├── email.py          # Email-related tasks
│   ├── image.py          # Image processing tasks
│   ├── reports.py        # Report generation tasks
│   ├── cleanup.py        # Maintenance tasks
│   └── integrations/
│       ├── __init__.py
│       ├── social.py     # Social media tasks
│       └── payments.py   # Payment processing tasks

# app/tasks/email.py
from ..celery import app

@app.task
def send_welcome_email(user_id):
    """Send welcome email to new user."""
    pass

@app.task
def send_newsletter(subscriber_list):
    """Send newsletter to subscribers."""
    pass

@app.task
def send_password_reset(email, token):
    """Send password reset email."""
    pass

# app/tasks/image.py
from ..celery import app

@app.task
def resize_image(image_path, width, height):
    """Resize image to specified dimensions."""
    pass

@app.task
def generate_thumbnail(image_path):
    """Generate thumbnail for image."""
    pass

@app.task
def process_image_upload(upload_data):
    """Process uploaded image."""
    pass

# app/tasks/email.py
from ..celery import app

@app.task
def send_welcome_email(user_id):
    """Send welcome email to new user."""
    pass

@app.task
def send_newsletter(subscriber_list):
    """Send newsletter to subscribers."""
    pass

@app.task
def send_password_reset(email, token):
    """Send password reset email."""
    pass

# app/tasks/image.py
from ..celery import app

@app.task
def resize_image(image_path, width, height):
    """Resize image to specified dimensions."""
    pass

@app.task
def generate_thumbnail(image_path):
    """Generate thumbnail for image."""
    pass

@app.task
def process_image_upload(upload_data):
    """Process uploaded image."""
    pass

# routing_config.py
from kombu import Queue, Exchange

# Define exchanges
default_exchange = Exchange('default', type='direct')
email_exchange = Exchange('email', type='direct')
image_exchange = Exchange('image', type='direct')

# Configure routing
app.conf.update(
    task_routes={
        # Route by task name
        'app.tasks.email.send_welcome_email': {'queue': 'email'},
        'app.tasks.email.*': {'queue': 'email'},

        # Route by pattern
        'app.tasks.image.*': {
            'queue': 'image',
            'routing_key': 'image.processing',
        },

        # Route with custom exchange
        'app.tasks.reports.*': {
            'queue': 'reports',
            'exchange': 'reports',
            'routing_key': 'reports.generate',
        },

        # Complex routing logic
        'app.tasks.priority.*': {
            'queue': 'priority',
            'priority': 9,
        },
    },

    # Define queues
    task_queues=(
        Queue('default', default_exchange, routing_key='default'),
        Queue('email', email_exchange, routing_key='email'),
        Queue('image', image_exchange, routing_key='image'),
        Queue('reports', routing_key='reports'),
        Queue('priority', routing_key='priority'),
    ),

    # Default queue
    task_default_queue='default',
    task_default_exchange='default',
    task_default_routing_key='default',
)

# routing_config.py
from kombu import Queue, Exchange

# Define exchanges
default_exchange = Exchange('default', type='direct')
email_exchange = Exchange('email', type='direct')
image_exchange = Exchange('image', type='direct')

# Configure routing
app.conf.update(
    task_routes={
        # Route by task name
        'app.tasks.email.send_welcome_email': {'queue': 'email'},
        'app.tasks.email.*': {'queue': 'email'},

        # Route by pattern
        'app.tasks.image.*': {
            'queue': 'image',
            'routing_key': 'image.processing',
        },

        # Route with custom exchange
        'app.tasks.reports.*': {
            'queue': 'reports',
            'exchange': 'reports',
            'routing_key': 'reports.generate',
        },

        # Complex routing logic
        'app.tasks.priority.*': {
            'queue': 'priority',
            'priority': 9,
        },
    },

    # Define queues
    task_queues=(
        Queue('default', default_exchange, routing_key='default'),
        Queue('email', email_exchange, routing_key='email'),
        Queue('image', image_exchange, routing_key='image'),
        Queue('reports', routing_key='reports'),
        Queue('priority', routing_key='priority'),
    ),

    # Default queue
    task_default_queue='default',
    task_default_exchange='default',
    task_default_routing_key='default',
)

# custom_router.py
from celery.routes import MapRoute

class CustomRouter:
    """Custom task router with advanced logic."""

    def route_for_task(self, task, args=None, kwargs=None):
        """Route tasks based on custom logic."""

        # Route based on task arguments
        if task == 'app.tasks.process_user_data':
            user_id = args[0] if args else kwargs.get('user_id')
            if user_id:
                # Route premium users to faster queue
                if self.is_premium_user(user_id):
                    return {'queue': 'premium'}
                else:
                    return {'queue': 'standard'}

        # Route based on task load
        if task.startswith('app.tasks.heavy_'):
            return {
                'queue': 'heavy_processing',
                'routing_key': 'heavy.processing',
                'priority': 5,
            }

        # Route based on time of day
        from datetime import datetime
        current_hour = datetime.now().hour
        if 9 <= current_hour <= 17:  # Business hours
            if task.startswith('app.tasks.report'):
                return {'queue': 'business_hours'}

        # Default routing
        return None

    def is_premium_user(self, user_id):
        """Check if user is premium (mock implementation)."""
        # In real implementation, check database/cache
        return user_id % 10 == 0  # Every 10th user is premium

# Configure custom router
app.conf.task_routes = (CustomRouter(),)

# custom_router.py
from celery.routes import MapRoute

class CustomRouter:
    """Custom task router with advanced logic."""

    def route_for_task(self, task, args=None, kwargs=None):
        """Route tasks based on custom logic."""

        # Route based on task arguments
        if task == 'app.tasks.process_user_data':
            user_id = args[0] if args else kwargs.get('user_id')
            if user_id:
                # Route premium users to faster queue
                if self.is_premium_user(user_id):
                    return {'queue': 'premium'}
                else:
                    return {'queue': 'standard'}

        # Route based on task load
        if task.startswith('app.tasks.heavy_'):
            return {
                'queue': 'heavy_processing',
                'routing_key': 'heavy.processing',
                'priority': 5,
            }

        # Route based on time of day
        from datetime import datetime
        current_hour = datetime.now().hour
        if 9 <= current_hour <= 17:  # Business hours
            if task.startswith('app.tasks.report'):
                return {'queue': 'business_hours'}

        # Default routing
        return None

    def is_premium_user(self, user_id):
        """Check if user is premium (mock implementation)."""
        # In real implementation, check database/cache
        return user_id % 10 == 0  # Every 10th user is premium

# Configure custom router
app.conf.task_routes = (CustomRouter(),)

# priority_routing.py
from kombu import Queue

# Configure priority queues
app.conf.update(
    task_routes={
        'app.tasks.critical.*': {'queue': 'critical', 'priority': 9},
        'app.tasks.high.*': {'queue': 'high', 'priority': 7},
        'app.tasks.normal.*': {'queue': 'normal', 'priority': 5},
        'app.tasks.low.*': {'queue': 'low', 'priority': 3},
        'app.tasks.background.*': {'queue': 'background', 'priority': 1},
    },

    task_queues=(
        Queue('critical', routing_key='critical', queue_arguments={'x-max-priority': 10}),
        Queue('high', routing_key='high', queue_arguments={'x-max-priority': 10}),
        Queue('normal', routing_key='normal', queue_arguments={'x-max-priority': 10}),
        Queue('low', routing_key='low', queue_arguments={'x-max-priority': 10}),
        Queue('background', routing_key='background', queue_arguments={'x-max-priority': 10}),
    ),

    # Enable priority support
    task_queue_max_priority=10,
    worker_prefetch_multiplier=1,  # Important for priority to work
)

# Usage with explicit priority
@app.task
def urgent_notification(message):
    """Send urgent notification."""
    pass

# Call with priority
urgent_notification.apply_async(
    args=['Critical system alert!'],
    priority=9,
    queue='critical'
)

# priority_routing.py
from kombu import Queue

# Configure priority queues
app.conf.update(
    task_routes={
        'app.tasks.critical.*': {'queue': 'critical', 'priority': 9},
        'app.tasks.high.*': {'queue': 'high', 'priority': 7},
        'app.tasks.normal.*': {'queue': 'normal', 'priority': 5},
        'app.tasks.low.*': {'queue': 'low', 'priority': 3},
        'app.tasks.background.*': {'queue': 'background', 'priority': 1},
    },

    task_queues=(
        Queue('critical', routing_key='critical', queue_arguments={'x-max-priority': 10}),
        Queue('high', routing_key='high', queue_arguments={'x-max-priority': 10}),
        Queue('normal', routing_key='normal', queue_arguments={'x-max-priority': 10}),
        Queue('low', routing_key='low', queue_arguments={'x-max-priority': 10}),
        Queue('background', routing_key='background', queue_arguments={'x-max-priority': 10}),
    ),

    # Enable priority support
    task_queue_max_priority=10,
    worker_prefetch_multiplier=1,  # Important for priority to work
)

# Usage with explicit priority
@app.task
def urgent_notification(message):
    """Send urgent notification."""
    pass

# Call with priority
urgent_notification.apply_async(
    args=['Critical system alert!'],
    priority=9,
    queue='critical'
)

# naming_conventions.py

# Bad naming - unclear and inconsistent
@app.task
def func1(x):
    pass

@app.task
def send_mail(email):
    pass

@app.task
def img_proc(path):
    pass

# Good naming - clear and consistent
@app.task(name='email.send.welcome')
def send_welcome_email(user_id):
    """Send welcome email to new user."""
    pass

@app.task(name='email.send.newsletter')
def send_newsletter_email(subscriber_ids):
    """Send newsletter to multiple subscribers."""
    pass

@app.task(name='image.process.resize')
def resize_image(image_path, dimensions):
    """Resize image to specified dimensions."""
    pass

@app.task(name='image.process.thumbnail')
def generate_image_thumbnail(image_path):
    """Generate thumbnail for uploaded image."""
    pass

@app.task(name='report.generate.sales')
def generate_sales_report(start_date, end_date):
    """Generate sales report for date range."""
    pass

@app.task(name='maintenance.cleanup.temp_files')
def cleanup_temporary_files():
    """Clean up temporary files older than 24 hours."""
    pass

# naming_conventions.py

# Bad naming - unclear and inconsistent
@app.task
def func1(x):
    pass

@app.task
def send_mail(email):
    pass

@app.task
def img_proc(path):
    pass

# Good naming - clear and consistent
@app.task(name='email.send.welcome')
def send_welcome_email(user_id):
    """Send welcome email to new user."""
    pass

@app.task(name='email.send.newsletter')
def send_newsletter_email(subscriber_ids):
    """Send newsletter to multiple subscribers."""
    pass

@app.task(name='image.process.resize')
def resize_image(image_path, dimensions):
    """Resize image to specified dimensions."""
    pass

@app.task(name='image.process.thumbnail')
def generate_image_thumbnail(image_path):
    """Generate thumbnail for uploaded image."""
    pass

@app.task(name='report.generate.sales')
def generate_sales_report(start_date, end_date):
    """Generate sales report for date range."""
    pass

@app.task(name='maintenance.cleanup.temp_files')
def cleanup_temporary_files():
    """Clean up temporary files older than 24 hours."""
    pass

# namespace_organization.py
from celery import Celery

app = Celery('enterprise_app')

# Organize tasks by business domain
class TaskNamespaces:
    """Centralized task name definitions."""

    # User management tasks
    class User:
        REGISTER = 'user.register'
        ACTIVATE = 'user.activate'
        DEACTIVATE = 'user.deactivate'
        SEND_WELCOME = 'user.email.welcome'
        SEND_VERIFICATION = 'user.email.verification'

    # Order processing tasks
    class Order:
        CREATE = 'order.create'
        PROCESS_PAYMENT = 'order.payment.process'
        SEND_CONFIRMATION = 'order.email.confirmation'
        UPDATE_INVENTORY = 'order.inventory.update'
        FULFILL = 'order.fulfillment.process'

    # Content management tasks
    class Content:
        UPLOAD_IMAGE = 'content.image.upload'
        RESIZE_IMAGE = 'content.image.resize'
        GENERATE_THUMBNAIL = 'content.image.thumbnail'
        PROCESS_VIDEO = 'content.video.process'
        EXTRACT_METADATA = 'content.metadata.extract'

    # Analytics and reporting
    class Analytics:
        TRACK_EVENT = 'analytics.event.track'
        GENERATE_REPORT = 'analytics.report.generate'
        UPDATE_METRICS = 'analytics.metrics.update'
        PROCESS_BATCH = 'analytics.batch.process'

# Task implementations
@app.task(name=TaskNamespaces.User.REGISTER)
def register_user(user_data):
    """Register a new user account."""
    pass

@app.task(name=TaskNamespaces.Order.PROCESS_PAYMENT)
def process_order_payment(order_id, payment_data):
    """Process payment for an order."""
    pass

@app.task(name=TaskNamespaces.Content.RESIZE_IMAGE)
def resize_content_image(image_id, width, height):
    """Resize uploaded image content."""
    pass

# namespace_organization.py
from celery import Celery

app = Celery('enterprise_app')

# Organize tasks by business domain
class TaskNamespaces:
    """Centralized task name definitions."""

    # User management tasks
    class User:
        REGISTER = 'user.register'
        ACTIVATE = 'user.activate'
        DEACTIVATE = 'user.deactivate'
        SEND_WELCOME = 'user.email.welcome'
        SEND_VERIFICATION = 'user.email.verification'

    # Order processing tasks
    class Order:
        CREATE = 'order.create'
        PROCESS_PAYMENT = 'order.payment.process'
        SEND_CONFIRMATION = 'order.email.confirmation'
        UPDATE_INVENTORY = 'order.inventory.update'
        FULFILL = 'order.fulfillment.process'

    # Content management tasks
    class Content:
        UPLOAD_IMAGE = 'content.image.upload'
        RESIZE_IMAGE = 'content.image.resize'
        GENERATE_THUMBNAIL = 'content.image.thumbnail'
        PROCESS_VIDEO = 'content.video.process'
        EXTRACT_METADATA = 'content.metadata.extract'

    # Analytics and reporting
    class Analytics:
        TRACK_EVENT = 'analytics.event.track'
        GENERATE_REPORT = 'analytics.report.generate'
        UPDATE_METRICS = 'analytics.metrics.update'
        PROCESS_BATCH = 'analytics.batch.process'

# Task implementations
@app.task(name=TaskNamespaces.User.REGISTER)
def register_user(user_data):
    """Register a new user account."""
    pass

@app.task(name=TaskNamespaces.Order.PROCESS_PAYMENT)
def process_order_payment(order_id, payment_data):
    """Process payment for an order."""
    pass

@app.task(name=TaskNamespaces.Content.RESIZE_IMAGE)
def resize_content_image(image_id, width, height):
    """Resize uploaded image content."""
    pass

# advanced_queues.py
from kombu import Queue, Exchange
from datetime import timedelta

# Define exchanges for different message types
email_exchange = Exchange('email', type='direct')
image_exchange = Exchange('image', type='topic')
reports_exchange = Exchange('reports', type='fanout')
priority_exchange = Exchange('priority', type='direct')

app.conf.update(
    # Queue definitions with advanced options
    task_queues=[
        # Email processing queue
        Queue(
            'email',
            email_exchange,
            routing_key='email',
            queue_arguments={
                'x-message-ttl': 3600000,  # 1 hour TTL
                'x-max-length': 10000,     # Max 10k messages
                'x-overflow': 'reject-publish',
            }
        ),

        # Image processing with different priorities
        Queue(
            'image.high',
            image_exchange,
            routing_key='image.high',
            queue_arguments={
                'x-max-priority': 10,
                'x-message-ttl': 1800000,  # 30 minutes TTL
            }
        ),
        Queue(
            'image.normal',
            image_exchange,
            routing_key='image.normal',
            queue_arguments={'x-max-priority': 5}
        ),

        # Reports with delayed processing
        Queue(
            'reports.immediate',
            reports_exchange,
            routing_key='reports.immediate'
        ),
        Queue(
            'reports.scheduled',
            reports_exchange,
            routing_key='reports.scheduled',
            queue_arguments={
                'x-message-ttl': 86400000,  # 24 hours TTL
            }
        ),

        # Dead letter queue for failed tasks
        Queue(
            'failed',
            Exchange('failed', type='direct'),
            routing_key='failed',
            queue_arguments={
                'x-message-ttl': 604800000,  # 7 days TTL
            }
        ),

        # Priority queue for critical tasks
        Queue(
            'critical',
            priority_exchange,
            routing_key='critical',
            queue_arguments={
                'x-max-priority': 10,
                'x-expires': 3600000,  # Queue expires if unused for 1 hour
            }
        ),
    ],

    # Routing configuration
    task_routes={
        # Email tasks
        'app.tasks.email.*': {
            'queue': 'email',
            'exchange': 'email',
            'routing_key': 'email',
        },

        # Image tasks with conditional routing
        'app.tasks.image.resize': {
            'queue': 'image.high',
            'exchange': 'image',
            'routing_key': 'image.high',
        },
        'app.tasks.image.thumbnail': {
            'queue': 'image.normal',
            'exchange': 'image',
            'routing_key': 'image.normal',
        },

        # Report tasks
        'app.tasks.reports.realtime': {
            'queue': 'reports.immediate',
            'exchange': 'reports',
        },
        'app.tasks.reports.batch': {
            'queue': 'reports.scheduled',
            'exchange': 'reports',
        },

        # Critical tasks
        'app.tasks.critical.*': {
            'queue': 'critical',
            'exchange': 'priority',
            'routing_key': 'critical',
            'priority': 9,
        },
    },

    # Default configurations
    task_default_queue='default',
    task_default_exchange='default',
    task_default_routing_key='default',

    # Queue-specific settings
    task_queue_max_priority=10,
    worker_prefetch_multiplier=1,
    task_acks_late=True,
)

# advanced_queues.py
from kombu import Queue, Exchange
from datetime import timedelta

# Define exchanges for different message types
email_exchange = Exchange('email', type='direct')
image_exchange = Exchange('image', type='topic')
reports_exchange = Exchange('reports', type='fanout')
priority_exchange = Exchange('priority', type='direct')

app.conf.update(
    # Queue definitions with advanced options
    task_queues=[
        # Email processing queue
        Queue(
            'email',
            email_exchange,
            routing_key='email',
            queue_arguments={
                'x-message-ttl': 3600000,  # 1 hour TTL
                'x-max-length': 10000,     # Max 10k messages
                'x-overflow': 'reject-publish',
            }
        ),

        # Image processing with different priorities
        Queue(
            'image.high',
            image_exchange,
            routing_key='image.high',
            queue_arguments={
                'x-max-priority': 10,
                'x-message-ttl': 1800000,  # 30 minutes TTL
            }
        ),
        Queue(
            'image.normal',
            image_exchange,
            routing_key='image.normal',
            queue_arguments={'x-max-priority': 5}
        ),

        # Reports with delayed processing
        Queue(
            'reports.immediate',
            reports_exchange,
            routing_key='reports.immediate'
        ),
        Queue(
            'reports.scheduled',
            reports_exchange,
            routing_key='reports.scheduled',
            queue_arguments={
                'x-message-ttl': 86400000,  # 24 hours TTL
            }
        ),

        # Dead letter queue for failed tasks
        Queue(
            'failed',
            Exchange('failed', type='direct'),
            routing_key='failed',
            queue_arguments={
                'x-message-ttl': 604800000,  # 7 days TTL
            }
        ),

        # Priority queue for critical tasks
        Queue(
            'critical',
            priority_exchange,
            routing_key='critical',
            queue_arguments={
                'x-max-priority': 10,
                'x-expires': 3600000,  # Queue expires if unused for 1 hour
            }
        ),
    ],

    # Routing configuration
    task_routes={
        # Email tasks
        'app.tasks.email.*': {
            'queue': 'email',
            'exchange': 'email',
            'routing_key': 'email',
        },

        # Image tasks with conditional routing
        'app.tasks.image.resize': {
            'queue': 'image.high',
            'exchange': 'image',
            'routing_key': 'image.high',
        },
        'app.tasks.image.thumbnail': {
            'queue': 'image.normal',
            'exchange': 'image',
            'routing_key': 'image.normal',
        },

        # Report tasks
        'app.tasks.reports.realtime': {
            'queue': 'reports.immediate',
            'exchange': 'reports',
        },
        'app.tasks.reports.batch': {
            'queue': 'reports.scheduled',
            'exchange': 'reports',
        },

        # Critical tasks
        'app.tasks.critical.*': {
            'queue': 'critical',
            'exchange': 'priority',
            'routing_key': 'critical',
            'priority': 9,
        },
    },

    # Default configurations
    task_default_queue='default',
    task_default_exchange='default',
    task_default_routing_key='default',

    # Queue-specific settings
    task_queue_max_priority=10,
    worker_prefetch_multiplier=1,
    task_acks_late=True,
)