Component of klio project that reduces boilerplate while \ writing YAML-config-driven, Dockerized python Beam pipelines\ - probably for audio processing.
Project description
The klio-exec Package
The executor – not meant to be used directly by the user – is a CLI that launches a pipeline from within a job’s Docker container (a.k.a. an Apache Beam’s “driver”). Many commands from the klio-cli directly wrap to commands in the executor: a klio-cli command will set up the Docker context needed to correctly run the pipeline via the associated command with klio-exec. The Docker context includes mounting the job directory, sets up environment variables, mounting credentials, etc.
As the klio-exec package is not meant to be installed directly, check out the installation guide for how to setup installation. There is also the user guide and the API documentation for more information.
What is Klio?
Klio is an ecosystem that allows you to process audio files – or any binary files – easily and at scale.
Klio jobs are opinionated data pipelines in Python (streaming or batch) built upon Apache Beam and tuned for audio and binary file processing.
Klio was built by Spotify to run our large-scale audio intelligence systems and is used by teams of engineers and audio researchers to help develop and deploy next generation audio algorithms.
Read more about Klio here.
Get Started
Check out our Quick Start guide on how to start using Klio.
Resources
Have a look at our complete documentation.
Check out our contributors’ guide.
Join the #klio channel in the Spotify FOSS Slack organization.
Read up on some of our FAQs.
Review our Code of Conduct - this is how we roll.
Release Information
21.8.0 (2021-09-03)
Added
Add support for calling DirectGKERunner when set in job configuration.
Changed
Use newly-added KlioReadFromPubSub and KlioWriteToPubSub transforms instead of native Beam’s transforms.
Fixed
Limit version of line_profiler as the latest introduced breaking API changes.
Limit google-cloud-pubsub dependency
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