kubeit-cli

command module
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Published: Feb 23, 2021 License: Apache-2.0 Imports: 6 Imported by: 0

README

KubeIT - Command Line Interface (CLI)

Dedicated client for use with the KubeIT backend. This client allows users to preconfigure and use server sided schemes as templates for workflow creation.

Contents

Description

The KubeIT CLI is a dedicated interface method for the KubeIT Backend. It contains helper functions for communications with the backend and allows automated access to in- and output data via S3.

Installation

Download the lastest release for your desired operating system. All following examples reference the Linux binary kubeit, for other operating systems exchange ./kubeit with the specific program (e.g. ./kubeit.exe for windows)

Initial configuration:

Configure your backend connection with:

    ./kubeit configure

This will show a configuration dialogue that asks for your KubeIT URL and access token. The information is by default saved in ~/.kubeit/config.json. Other paths can be specified via the -c flag.

Usage

If more information is needed use the -h flag to access the help page with an overview for the chosen command.

Configure local scheme

To use KubeIT first a local scheme must be configured. Local schemes are variations of globally available backend schemes and can pre-configure backend-schemes with non-default parameters. Local schemes can be configured, via a dialogue, with:

    ./kubeit configure -s

In normal operation only required arguments will be shown. If you want to change defaulted backend parameters locally, use the -e flag to enable expert configuration mode. (e.g. ./kubeit configure -s -e)

Schedule local scheme to the cluster

The KubeIT CLI allows local schemes to be configured and executed in one step. A very basic example for this is:

    ./kubeit create workflow -s YOUR-LOCAL-SCHEME-NAME -i YOUR-INPUTFILE -o YOUR-OUTPUTFILE -w 

-s: specified your local scheme
-i: Your input-file on the local file system (The default-template accepts protein FASTA files (.faa))
-o: Automatically download results to the specified destination
-w: Watch the workflow execution and wait for either workflow completion or failure

Input upload in advance

Input files can either be automatically upload via -i or uploaded beforehand. This can be done with:

    ./kubeit create S3 -f YOUR-FILE

If uploaded beforehand KubeIT will print an associated time-limited download URL automatically. This URL can be used for future workflows.

Specify a parameter on scheduling

Sometime the needed parameters can differ. For this KubeIT can receive parameters in workflow creation. Parameters are specified with the -p flag followed by the parameter name and its desired value. Example: -p "input.inputdata=https://example.com/test"

Delete a workflow

Workflows can be deleted with:

    ./kubeit delete workflow -n WORKFLOW-NAME
Delete a collection of workflows

Multiple workflows can be deleted by specifying a project group.

    ./kubeit delete workflow -g PROJECT-GROUP-NAME
Get a workflow status

If a workflow is not scheduled with the -w flag, its status can be accessed once with:

    ./kubeit get workflow -n WORKFLOW-NAME

or for a complete project group:

    ./kubeit get workflow -g PROJECT-GROUP-NAME
Get more information about (a) local or remote scheme(s)

Get all available schemes:

    ./kubeit get scheme

get more information about a specific scheme:

    ./kubeit get scheme -n SCHEME-NAME

both commands can either be used for remote schemes, or for local schemes (with the -l flag)

Create new remote schemes

New remote schemes can be created with:

    ./kubeit create scheme -n SCHEME-NAME -f SCHEME-YAML-FILE

see here for a short guideline on how to create new schemes.

FAQ

How does KubeIT upload data to S3 ?

KubeIT uses pre-authenticated S3 links to upload data to S3. It automatically determines if a file have to be split up or can be uploaded as a whole.

How does the splitting work ?

Splitting is done using the Splitter WorkflowTemplate and the splitter interface. For mor information see here

Documentation

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