cfq 0.1.0

A high-level Cloudflare Queues consumer library for Python

CFQ

A high-level Python client for consuming messages from Cloudflare Queues with async workers.

from cfq import CFQ

client = CFQ(
    api_token="your_cloudflare_api_token",
    account_id="your_account_id",
)

@client.consumer(queue_id="your_queue_id")
async def process_messages(message):
    # Messages will be automatically ACKed on success 
    # or sent back to the queue to be retried on exceptions.

await client.start()

CFQ's API design is inspired by TaskIQ and Celery, adapted for Cloudflare Queues.

Installation

uv add cfq

CFQ Parameters

Parameter	Type	Default	Description
api_token	str	required	Cloudflare API token with Queues permissions
account_id	str	required	Your Cloudflare account identifier
max_workers	int	10	Maximum concurrent message handlers (async workers)
polling_interval_ms	float	1000	Polling interval in milliseconds when queue is empty
max_batch_size	int	10	Messages to pull per request
allow_retry	bool	True	Whether to retry failed messages
retry_delay_seconds	int	0	Delay before retrying failed messages
heartbeat_interval_seconds	int	0	Heartbeat logging interval (0 = disabled)
logger	Logger	None	Custom logger (defaults to "cfq" logger)

Consumer Decorator Parameters

from cloudflare.types.queues.message_pull_response import Message

@client.consumer(queue_id="queue_id", visibility_timeout_ms=60000)
async def my_consumer(message: Message):
    # Your message processing logic
    pass

Parameter	Type	Default	Description
queue_id	str	required	The Cloudflare Queue ID to consume from
visibility_timeout_ms	int	60000	Message visibility timeout in milliseconds

Multiple Queue Consumers

client = CFQ(
    api_token="your_token",
    account_id="your_account_id",
    max_workers=20,  # Shared across all consumers
)

@client.consumer(queue_id="email_queue_id")
async def handle_emails(message: Message):
    # Process email messages
    await send_email(message.body)

@client.consumer(queue_id="webhook_queue_id", visibility_timeout_ms=30000)
async def handle_webhooks(message: Message):
    # Process webhook messages with shorter timeout
    await process_webhook(message.body)

await client.start()

Custom Configuration Example

client = CFQ(
    api_token="your_token",
    account_id="your_account_id",
    max_workers=5,
    polling_interval_ms=500,  # Poll every 500ms
    max_batch_size=20,        # Pull up to 20 messages at once
    allow_retry=True,
    retry_delay_seconds=30,   # Wait 30s before retry
    heartbeat_interval_seconds=60,  # Log heartbeat every minute
)

Error Handling

CFQ automatically handles message acknowledgment and retries:

• Success: Messages are automatically ACKed after successful processing
• Failure with retry enabled: Failed messages are retried with configurable delay
• Failure with retry disabled: Failed messages are discarded
• Worker limits: New messages wait for available workers when max_workers is reached

Monitoring

Enable heartbeat logging to monitor processing rates:

client = CFQ(
    # ... other config
    heartbeat_interval_seconds=30,  # Log every 30 seconds
)

This will output logs like:

INFO:cfq:Heartbeat | Processed 42 messages in last 30 seconds