Main entrypoint for Klio jobs
Project description
The klio-cli
The CLI is the main entrypoint for users in interacting with a Klio job. This CLI is used for creating, deploying, testing, and profiling of Klio jobs, among other helpful commands.
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
21.12.0 (UNRELEASED)
Added
Include more GCP roles when verifying a job’s service account in klio job verify.
Fixed
Correctly validate existence of Dataflow-related Klio config when running on Dataflow (and not just “not –direct-runner”).
Print out gcloud commands to add necessary GCP roles when running klio job verify --create-resources.
Changed
When running a job, effective config is no longer written to klio-job-run-effective.yaml, but instead to a temp file. This file no longer needs to be included in setup.py projects (See PR 233).
Error out when a user tries to run a Dataflow-based job with Stackdriver log-based metrics client configured.
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