Taskiq-nats is a plugin for taskiq that adds NATS broker. This package has support for NATS JetStream.

To use this project you must have installed core taskiq library:

pip install taskiq taskiq-nats

Here's a minimal setup example with a broker and one task.

import asyncio from taskiq_nats import NatsBroker, JetStreamBroker broker = NatsBroker( [ "nats://nats1:4222", "nats://nats2:4222", ], queue="random_queue_name", ) @broker.task async def my_lovely_task(): print("I love taskiq") async def main(): await broker.startup() await my_lovely_task.kiq() await broker.shutdown() if __name__ == "__main__": asyncio.run(main())

import asyncio from taskiq_nats import ( PushBasedJetStreamBroker, PullBasedJetStreamBroker ) broker = PushBasedJetStreamBroker( servers=[ "nats://nats1:4222", "nats://nats2:4222", ], queue="awesome_queue_name", ) # Or you can use pull based variant broker = PullBasedJetStreamBroker( servers=[ "nats://nats1:4222", "nats://nats2:4222", ], durable="awesome_durable_consumer_name", ) @broker.task async def my_lovely_task(): print("I love taskiq") async def main(): await broker.startup() await my_lovely_task.kiq() await broker.shutdown() if __name__ == "__main__": asyncio.run(main())

Here's the constructor parameters:

• servers - a single string or a list of strings with nats nodes addresses.
• subject - name of the subect that will be used to exchange tasks betwee workers and clients.
• queue - optional name of the queue. By default NatsBroker broadcasts task to all workers, but if you want to handle every task only once, you need to supply this argument.
• result_backend - custom result backend.
• task_id_generator - custom function to generate task ids.
• Every other keyword argument will be sent to nats.connect function.

• servers - a single string or a list of strings with nats nodes addresses.
• subject - name of the subect that will be used to exchange tasks betwee workers and clients.
• stream_name - name of the stream where subjects will be located.
• queue - a single string or a list of strings with nats nodes addresses.
• result_backend - custom result backend.
• task_id_generator - custom function to generate task ids.
• stream_config - a config for stream.
• consumer_config - a config for consumer.

• queue - name of the queue. It's used to share messages between different consumers.

• durable - durable name of the consumer. It's used to share messages between different consumers.
• pull_consume_batch - maximum number of message that can be fetched each time.
• pull_consume_timeout - timeout for messages fetch. If there is no messages, we start fetching messages again.

It's possible to use NATS JetStream to store tasks result.

import asyncio from taskiq_nats import PullBasedJetStreamBroker from taskiq_nats.result_backend import NATSObjectStoreResultBackend result_backend = NATSObjectStoreResultBackend( servers="localhost", ) broker = PullBasedJetStreamBroker( servers="localhost", ).with_result_backend( result_backend=result_backend, ) @broker.task async def awesome_task() -> str: return "Hello, NATS!" async def main() -> None: await broker.startup() task = await awesome_task.kiq() res = await task.wait_result() print(res) await broker.shutdown() if __name__ == "__main__": asyncio.run(main())