soopervisor 0.4.1

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Soopervisor

Soopervisor runs Ploomber pipelines for batch processing (large-scale training or batch serving) or online inference.

pip install soopervisor

Check out the documentation to learn more.

Supported platforms

• Batch serving and large-scale training:

  • Kubernetes / Argo Workflows

  • AWS Batch

• Online inference:

  • AWS Lambda

Usage

Say that you want to train multiple models in a Kubernetes cluster, you may create a new target environment to execute your pipeline using Argo Workflows:

soopervisor add training --backend argo-workflows

After filling in some basic configuration settings, export the pipeline with:

soopervisor export training

Depending on the selected backend (Argo, Airflow, AWS Batch or AWS Lambda), configuration details will change but the API remains the same: soopervisor add, then soopervisor export. CHANGELOG =========

0.4.1 (2021-05-31)

• Adds --mode option to soopervisor export

• Batch export stops if there are no tasks to execute

• Adds --skip-tests option to skip tests before submitting

0.4 (2021-05-22)

Important: Soopervisor was re-written. Some modules were deprecated and the API changed. This new architecture allows us to greatly simplify user experience and easily incorporate more platforms in the future.

• New CLI

• New documentation

• New (simplified) soopervisor.yaml configuration schema

• Support for non-packaged projects (i.e., the ones without a setup.py file)

• Support for AWS Batch

• Support for AWS Lambda

• Argo Workflows integration builds a docker image

• Airflow integration produces a DAG with DockerOperator tasks

• Deprecates build module

• Deprecates script module

• Deprecates Box integration

0.3.4 (2021-04-18)

• Export projects compatible with ploomber.OnlineModel to AWS Lambda

• Allow initialization from empty soopervisor.yaml

0.3.3 (2021-03-07)

• Support to pass extra cli args to ploomber task (via args in soopervisor.yaml) when running in Argo and Airflow

0.3.2 (2021-02-13)

• Adds --root arg to soopervisor export-airflow to select an alternative project’s root

• Determines default entry point using Ploomber’s API to allow automated discovery of pipeline.yaml in package layouts (e.g. src/package/pipeline.yaml)

0.3.1 (2021-02-11)

• Changes to the Airflow generated DAG

• Fixes a bug when initializing configuration from projects whose root is not the current directory

0.3 (2021-01-24)

• env.airflow.yaml optional when exporting to Airflow (#17)

• Validating exported argo YAML spec

• Output argo YAML spec displays script in literal mode to make it readable

• Fixed extra whitespace in generated script

• Refactors ArgoMountedVolume to provide flexibility for different types of k8s volumes

• Adds section in the documentation to run examples using minikube

• Adds a few echo statements to generated script to provide better status feedback

0.2.2 (2020-11-21)

• Adds ability to skip dag loading during project validation

• Box uploader imported only if needed

• Exposes option to skip dag loading from the CLI

0.2.1 (2020-11-20)

• Adds Airflow DAG export

• Adds Argo/Kubernetes DAG export

• Support for uploading products to Box

0.2 (2020-10-15)

• Adds DockerExecutor

• Products are saved in a folder with the name of the current commit by default

• Conda environments are created locally in a .soopervisor/ folder

• Conda environments are cached by default

• Ability to customize arguments to ploomber build

0.1 (2020-08-09)

• First release