AMQP Messaging Framework for Python
Project description
- Version:
- 0.2.0
THIS IS A REWRITE OF CARROT
Carrot will be discontinued in favor of Kombu.
Proposed API:
from kombu.connection BrokerConnection
from kombu.messaging import Exchange, Queue, Consumer, Producer
media_exchange = Exchange("media", "direct", durable=True)
video_queue = Queue("video", exchange=media_exchange, key="video")
# connections/channels
connection = BrokerConnection("localhost", "guest", "guest", "/")
channel = connection.channel()
# produce
producer = Producer(channel, exchange=media_exchange, serializer="json")
producer.publish({"name": "/tmp/lolcat1.avi", "size": 1301013})
# consume
consumer = Consumer(channel, video_queue)
consumer.register_callback(process_media)
consumer.consume()
while True:
connection.drain_events()
# consumerset:
video_queue = Queue("video", exchange=media_exchange, key="video")
image_queue = Queue("image", exchange=media_exchange, key="image")
consumer = Consumer(channel, [video_queue, image_queue])
consumer.consume()
while True:
connection.drain_events()
Exchanges/Queue can be bound to a channel:
>>> exchange = Exchange("tasks", "direct")
>>> connection = BrokerConnection()
>>> channel = connection.channel()
>>> bound_exchange = exchange(channel)
>>> bound_exchange.delete()
# the original exchange is not affected, and stays unbound.
>>> exchange.delete()
raise NotBoundError: Can't call delete on Exchange not bound to
a channel.
ORIGINAL CARROT README BELOW
Introduction
kombu is an AMQP messaging queue framework. AMQP is the Advanced Message Queuing Protocol, an open standard protocol for message orientation, queuing, routing, reliability and security.
The aim of kombu is to make messaging in Python as easy as possible by providing a high-level interface for producing and consuming messages. At the same time it is a goal to re-use what is already available as much as possible.
kombu has pluggable messaging transports, so it is possible to support several messaging systems. Currently, there is support for AMQP (py-amqplib, pika), STOMP (stompy). There’s also an in-memory transport for testing purposes, using the Python queue module.
Several AMQP message broker implementations exists, including RabbitMQ, Apache ActiveMQ. You’ll need to have one of these installed, personally we’ve been using RabbitMQ.
Before you start playing with kombu, you should probably read up on AMQP, and you could start with the excellent article about using RabbitMQ under Python, Rabbits and warrens. For more detailed information, you can refer to the Wikipedia article about AMQP.
Documentation
Kombu is using Sphinx, and the latest documentation is available at GitHub:
Installation
You can install kombu either via the Python Package Index (PyPI) or from source.
To install using pip,:
$ pip install kombu
To install using easy_install,:
$ easy_install kombu
If you have downloaded a source tarball you can install it by doing the following,:
$ python setup.py build # python setup.py install # as root
Terminology
There are some concepts you should be familiar with before starting:
Producers
Producers sends messages to an exchange.
Exchanges
Messages are sent to exchanges. Exchanges are named and can be configured to use one of several routing algorithms. The exchange routes the messages to consumers by matching the routing key in the message with the routing key the consumer provides when binding to the exchange.
Consumers
Consumers declares a queue, binds it to a exchange and receives messages from it.
Queues
Queues receive messages sent to exchanges. The queues are declared by consumers.
Routing keys
Every message has a routing key. The interpretation of the routing key depends on the exchange type. There are four default exchange types defined by the AMQP standard, and vendors can define custom types (so see your vendors manual for details).
These are the default exchange types defined by AMQP/0.8:
Direct exchange
Matches if the routing key property of the message and the routing_key attribute of the consumer are identical.
Fan-out exchange
Always matches, even if the binding does not have a routing key.
Topic exchange
Matches the routing key property of the message by a primitive pattern matching scheme. The message routing key then consists of words separated by dots (".", like domain names), and two special characters are available; star ("*") and hash ("#"). The star matches any word, and the hash matches zero or more words. For example "*.stock.#" matches the routing keys "usd.stock" and "eur.stock.db" but not "stock.nasdaq".
Examples
Creating a connection
You can set up a connection by creating an instance of kombu.BrokerConnection, with the appropriate options for your broker:
>>> from kombu import BrokerConnection >>> conn = BrokerConnection(hostname="localhost", port=5672, ... userid="guest", password="guest", ... virtual_host="/")
Receiving messages using a Consumer
First we open up a Python shell and start a message consumer.
This consumer declares a queue named "feed", receiving messages with the routing key "importer" from the "feed" exchange.
>>> from kombu import Exchange, Queue, Consumer>>> feed_exchange = Exchange("feed", type="direct") >>> feed_queue = Queue("feed", feed_exchange, "importer")>>> channel = connection.channel() >>> consumer = Consumer(channel, [feed_queue])>>> def import_feed_callback(message_data, message) ... feed_url = message_data["import_feed"] ... print("Got feed import message for: %s" % feed_url) ... # something importing this feed url ... # import_feed(feed_url) ... message.ack()>>> consumer.register_callback(import_feed_callback)>>> # Consume messages in a loop >>> while True: ... connection.drain_events(timeout=...)
Sending messages using a Producer
Then we open up another Python shell to send some messages to the consumer defined in the last section.
>>> from kombu import Exchange, Producer >>> feed_exchange = Exchange("feed", type="direct")>>> channel = connection.channel() >>> producer = Producer(channel, feed_exchange) >>> producer.publish({"import_feed": "http://cnn.com/rss/edition.rss"}, ... routing_key="importer") >>> producer.close()
Look in the first Python shell again (where consumer loop is running), where the following text has been printed to the screen:
Got feed import message for: http://cnn.com/rss/edition.rss
Serialization of Data
By default every message is encoded using JSON, so sending Python data structures like dictionaries and lists works. YAML, msgpack and Python’s built-in pickle module is also supported, and if needed you can register any custom serialization scheme you want to use.
Each option has its advantages and disadvantages.
- json – JSON is supported in many programming languages, is now
a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries such as cjson or ``simplejson.
The primary disadvantage to JSON is that it limits you to the following data types: strings, unicode, floats, boolean, dictionaries, and lists. Decimals and dates are notably missing.
Also, binary data will be transferred using base64 encoding, which will cause the transferred data to be around 34% larger than an encoding which supports native binary types.
However, if your data fits inside the above constraints and you need cross-language support, the default setting of JSON is probably your best choice.
- pickle – If you have no desire to support any language other than
Python, then using the pickle encoding will gain you the support of all built-in Python data types (except class instances), smaller messages when sending binary files, and a slight speedup over JSON processing.
- yaml – YAML has many of the same characteristics as json,
except that it natively supports more data types (including dates, recursive references, etc.)
However, the Python libraries for YAML are a good bit slower than the libraries for JSON.
If you need a more expressive set of data types and need to maintain cross-language compatibility, then YAML may be a better fit than the above.
To instruct carrot to use an alternate serialization method, use one of the following options.
Set the serialization option on a per-producer basis:
>>> producer = Producer(channel, ... exchange=exchange, ... serializer="yaml")Set the serialization option per message:
>>> producer.publish(message, routing_key=rkey, ... serializer="pickle")
Note that a Consumer do not need the serialization method specified. They can auto-detect the serialization method as the content-type is sent as a message header.
Sending raw data without Serialization
In some cases, you don’t need your message data to be serialized. If you pass in a plain string or unicode object as your message, then carrot will not waste cycles serializing/deserializing the data.
You can optionally specify a content_type and content_encoding for the raw data:
>>> producer.send(open('~/my_picture.jpg','rb').read(),
content_type="image/jpeg",
content_encoding="binary",
routing_key=rkey)
The Message object returned by the Consumer class will have a content_type and content_encoding attribute.
Receiving messages without a callback
You can also poll the queue manually, by using the get method. This method returns a Message object, from where you can get the message body, de-serialize the body to get the data, acknowledge, reject or re-queue the message.
>>> consumer = Consumer(channel, queues) >>> message = consumer.get() >>> if message: ... message_data = message.payload ... message.ack() ... else: ... # No messages waiting on the queue. >>> consumer.close()
Sub-classing the messaging classes
The Consumer, and Producer classes can also be sub classed. Thus you can define the above producer and consumer like so:
>>> class FeedProducer(Producer): ... exchange = exchange ... routing_key = "importer" ... ... def import_feed(self, feed_url): ... return self.publish({"action": "import_feed", ... "feed_url": feed_url})>>> class FeedConsumer(Consumer): ... queues = queues ... ... def receive(self, message_data, message): ... action = message_data["action"] ... if action == "import_feed": ... # something importing this feed ... # import_feed(message_data["feed_url"]) message.ack() ... else: ... raise Exception("Unknown action: %s" % action)>>> producer = FeedProducer(channel) >>> producer.import_feed("http://cnn.com/rss/edition.rss") >>> producer.close()>>> consumer = FeedConsumer(channel) >>> while True: ... connection.drain_events()
Getting Help
Mailing list
Join the carrot-users mailing list.
Bug tracker
If you have any suggestions, bug reports or annoyances please report them to our issue tracker at http://github.com/ask/kombu/issues/
Contributing
Development of kombu happens at Github: http://github.com/ask/kombu
You are highly encouraged to participate in the development. If you don’t like Github (for some reason) you’re welcome to send regular patches.
License
This software is licensed under the New BSD License. See the LICENSE file in the top distribution directory for the full license text.
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
File details
Details for the file kombu-0.2.0.tar.gz.
File metadata
- Download URL: kombu-0.2.0.tar.gz
- Upload date:
- Size: 480.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a389566318daacbed8ceb3c27d7146cfdf366f5d00b11bc18f73dcaa66237e6c |
|
| MD5 | d76d090001f1f9071e5dda60a0ac0c77 |
|
| BLAKE2b-256 | 20f966791164c4152e6bca7896cc701e0fb13f8e90619af802902e4e6eca10e4 |
