Skip to main content

Messaging module of Project Thoth

Project description

This provides a library called thoth-messaging used in project Thoth. It is a basic module to encapsule all messaging (here it is Kafka via Faust) primitives.

Message Factory

For the purposes of Thoth we have a few of our custom messages defined within the messaging module. However, we wanted to allow individuals to be able to use our module without having to add their own messages first. For testing and development purposes you can use message_factory(…) which allows you to create arbitrary messages using thoth-messaging using the following syntax:

message_factory(t_name=<str>, message_contents=<Tuple[str, str]>, [num_partitions=<int>], [replication_factor=<int>])

bracketed arguments are optional.

Development and Testing

For development and testing it is very useful to have a local instance of Kafka running on your machine

We provide a docker-compose file to get you up and running quickly with a basic Kafka server; this file is based on Single Zookeeper/Multiple Kafka.

In order to start Zookeeper as well as the Kafka Servers simply run $ podman-compose up or $ docker-compose up, choose the appropriate option based on the system which you are using.

Once you have Kafka up and running you should be ready to begin coding your own messaging producers and consumers. The interface between Kafka and Python is handled by a library called Faust. Faust’s documentation will be extremely helpful to you when you are developing your own applications. If you would like examples of producers and consumers from Team Thoth, look at the following two repositories, investigator and package-update.

You may find it useful to use console producers and consumers while testing your, to create one simply attach a bash shell to one of your Kafka Servers by running: $ podman exec -it messaging_kafka1_1 bash, your container names should be the same as given here, if not, run $ podman ps and choose the correct container. These containers have all Kafka binaries in appropriate places so you can simply run $ kafka-console-consumer, $ kafka-console-producer, or any other kafka command that you may find useful.

example: ` $ kafka-console-consumer --bootstrap-server localhost:9092 --topic test --from-beginning `

Note Data is not persistent. Once pods are deleted so is the data associated with them.

Note Faust producers and consumers can’t be run by calling $ python producer.py, instead they are Faust specific applications, in order to run them you need to call faust -A <filename> <function> [options]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

thoth-messaging-0.7.6.tar.gz (7.9 kB view details)

Uploaded Source

Built Distribution

thoth_messaging-0.7.6-py3-none-any.whl (24.5 kB view details)

Uploaded Python 3

File details

Details for the file thoth-messaging-0.7.6.tar.gz.

File metadata

  • Download URL: thoth-messaging-0.7.6.tar.gz
  • Upload date:
  • Size: 7.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/39.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.6.8

File hashes

Hashes for thoth-messaging-0.7.6.tar.gz
Algorithm Hash digest
SHA256 b6b10a2f28d430b188950a96ba257d886a33a35baa2ca4b168dff7ce5d64fef9
MD5 bc39becfc5c67393f5ece310d8615236
BLAKE2b-256 16e60751a01d77d7eff128b26f338cf0814edb15e4088ec7ccf763a7189e2f8b

See more details on using hashes here.

File details

Details for the file thoth_messaging-0.7.6-py3-none-any.whl.

File metadata

  • Download URL: thoth_messaging-0.7.6-py3-none-any.whl
  • Upload date:
  • Size: 24.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/39.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.6.8

File hashes

Hashes for thoth_messaging-0.7.6-py3-none-any.whl
Algorithm Hash digest
SHA256 38f7d60e4e83746db31dce49aee701d08b8efcdf50f56fc9c6d302b5a1888103
MD5 2e4ecc31ca4987cca00371d261e43281
BLAKE2b-256 306e81052272e5db44c21b7028d67c3299cd03103ec622150c4b9e1b70f68fed

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page