an AMQP 0.9.1 client library for Python >= 3.2.0
Project description
Python 3 AMQP 0.9.1 client library
- Version:
0.8.6
- Web:
- Download:
- Source:
- Keywords:
amqp, rabbitmq, qpid
About
amqpy is a pure-Python AMQP 0.9.1 client library for Python >= 3.2.0 (including PyPy3) with a focus on:
stability and reliability
well-tested and thoroughly documented code
clean, correct design
100% compliance with the AMQP 0.9.1 protocol specification
It has very good performance, as AMQP 0.9.1 is a very efficient binary protocol, but does not sacrifice clean design and testability to save a few extra CPU cycles.
This library is actively maintained and has a zero bug policy. Please submit issues and pull requests, and bugs will be fixed immediately.
The current API is not final, but will progressively get more stable as version 1.0.0 is approached.
Guarantees
This library makes the following guarantees:
Semantic versioning is strictly followed
Compatible with Python >= 3.2.0 and PyPy3 >= 2.3.1 (Python 3.2.5)
AMQP 0.9.1 compliant
Features
Draining events from multiple channels: Connection.drain_events()
SSL is fully supported, it is highly recommended to use SSL when connecting to servers over the Internet.
Support for timeouts
Support for manual and automatic heartbeats
Fully thread-safe
Supports RabbitMQ extensions:
Publisher confirms: enable with Channel.confirm_select(), then use Channel.basic_publish_confirm
Exchange to exchange bindings: Channel.exchange_bind() and Channel.exchange_unbind()
Consumer Cancel Notifications: by default a cancel results in ChannelError being raised, but not if a on_cancel callback is passed to basic_consume
To do (goals for v1.0.0)
Add support for multiple authentication mechanisms such as CRAM-MD5 for Apache Qpid
Kombu compatibility
Add examples directory and update Sphinx docs with improved examples
Tests
Test with SSL (parametrize the connection fixture to use SSL)
Low priority (goals for v1.x)
Asynchronous operation, Python 3.4 asyncio support
Add support for channel-level event draining, so that multiple threads can block while waiting for events on their own channels.
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