A wrapper for connecting to RabbitMQ which constrains clients to a single purpose channel (producer or consumer) with healing for intermittent connectivity.
Project description
talus (noun) - ta·lus | ˈtā-ləs: a slope formed especially by an accumulation of rock debris; Occasional habitat of the pika.
A wrapper for connecting to RabbitMQ which constrains clients to a single purpose channel (producer or consumer) with healing for intermittent connectivity.
Features
Guided separation of connections for producers and consumers
Re-establish connections to the server when lost
Constrained interface to support simple produce / consume use cases for direct exchanges
Installation
pip install talusExamples
Creating a consumer which listens on a queue, processes valid messages and publishes as part of processing
Uses default connection parameters and connection retryer expecting a rabbitmq server running in its default configuration.
from talus import DurableConsumer
from talus import DurableProducer
from talus import ConnectionRetryerFactory
from talus import ConsumerConnectionParameterFactory, ProducerConnectionParameterFactory
from talus import MessageProcessorBase
from talus import ConsumeMessageBase, PublishMessageBase, MessageBodyBase
from talus import Queue
from talus import Exchange
from talus import Binding
from typing import Type
##########################
# Consumer Configurations#
##########################
# Configure messages that will be consumed
class ConsumeMessageBody(MessageBodyBase):
objectName: str
bucket: str
class ConsumeMessage(ConsumeMessageBase):
message_body_cls: Type[ConsumeMessageBody] = ConsumeMessageBody
# Configure the queue the messages should be consumed from
inbound_queue = Queue(name="inbound.q")
###########################
# Producer Configurations #
###########################
# Configure messages that will be produced
class ProducerMessageBody(MessageBodyBase):
key: str
code: str
class PublishMessage(PublishMessageBase):
message_body_cls: Type[ProducerMessageBody] = ProducerMessageBody
default_routing_key: str = "outbound.message.m"
# Configure the queues the message should be routed to
outbound_queue_one = Queue(name="outbound.one.q")
outbound_queue_two = Queue(name="outbound.two.q")
# Configure the exchange and queue bindings for publishing (Publish Message -> Outbound Queues)
publish_exchange = Exchange(name="outbound.exchange") # Direct exchange by default
bindings = [Binding(queue=outbound_queue_one, message=PublishMessage),
Binding(queue=outbound_queue_two, message=PublishMessage)] # publishing PublishMessage will route to both queues.
############################
# Processor Configurations #
############################
# Configure a message processor to handle the consumed messages
class MessageProcessor(MessageProcessorBase):
def process_message(self, message: ConsumeMessage):
print(message)
outbound_message = PublishMessage(
body=ProducerMessageBody(
key=message.body.objectName,
code="newBucket",
conversationId=message.body.conversationId,
)
) # crosswalk the values from the consumed message to the produced message
self.producer.publish(outbound_message)
print(outbound_message)
# Actually Connect and run the consumer
def main():
"""Starts a listener which will consume messages from the inbound queue and publish messages to the outbound queues."""
with DurableProducer(
queue_bindings=bindings,
publish_exchange=publish_exchange,
connection_parameters=ProducerConnectionParameterFactory(),
connection_retryer=ConnectionRetryerFactory(),
) as producer:
with DurableConsumer(
consume_queue=inbound_queue,
connection_parameters=ConsumerConnectionParameterFactory(),
connection_retryer=ConnectionRetryerFactory(),
) as consumer:
message_processor = MessageProcessor(message_cls=ConsumeMessage, producer=producer)
consumer.listen(message_processor)
if __name__ == "__main__":
# First message to consume
class InitialMessage(PublishMessageBase):
message_body_cls: Type[
ConsumeMessageBody] = ConsumeMessageBody
default_routing_key: str = "inbound.message.m"
initial_message_bindings = [Binding(queue=inbound_queue, message=InitialMessage)]
with DurableProducer(
queue_bindings=initial_message_bindings,
publish_exchange=publish_exchange,
connection_parameters=ProducerConnectionParameterFactory(),
connection_retryer=ConnectionRetryerFactory(),
) as producer:
producer.publish(InitialMessage(body={"objectName": "object", "bucket": "bucket"}))
# Consume the message and process it
main()Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
talus-1.2.0.tar.gz
(21.6 kB
view details)
Built Distribution
talus-1.2.0-py3-none-any.whl
(25.0 kB
view details)
File details
Details for the file talus-1.2.0.tar.gz.
File metadata
- Download URL: talus-1.2.0.tar.gz
- Upload date:
- Size: 21.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 55c642f83d298be30166719ec103cc610e9589691e1fc9fa1ce9c47fa1550705 |
|
| MD5 | 3d44ba7a45b1b8219be4a4a8254bfda6 |
|
| BLAKE2b-256 | 7addd4186748a187c0990459d07488f3e14c33df93dde5e9ff9016c2350fce7d |
Provenance
File details
Details for the file talus-1.2.0-py3-none-any.whl.
File metadata
- Download URL: talus-1.2.0-py3-none-any.whl
- Upload date:
- Size: 25.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 160749a0e45a707fff9223e547db36df0d0c09eaf9f45060c38781ae161a0394 |
|
| MD5 | bd1b9f741375d0baade45ca998b9af43 |
|
| BLAKE2b-256 | e6660d30dd4f8667be2aee3399c0facbdae255ae9de6c5a7e9b328e17600e686 |
