GeoEDF Plug-and-play Workflow Engine

pip install geoedfengine==1.83


GeoEDF Plug-and-play Workflow Engine

The GeoEDF Workflow Engine transforms an abstract GeoEDF workflow written in YAML syntax into a concrete sequence of tasks executed on HPC resources. Under the hood, the engine utilizes the Pegasus Workflow Management System (WMS) to plan and manage the execution of these tasks.

This version of the workflow engine has been designed for installation on HUBzero-based science gateways and for use in Jupyter notebook tools running on HUBzero. Rather than utilize the Pegasus WMS directly, it uses the HUBzero submit wrapper for managing workflow execution and data transfer between HUBzero tools and the execution machines.

The workflow engine is a Python library, with the GeoEDFWorkflow class providing the key workflow instantiation and execution functionality.

In order to plan and execute a GeoEDF YAML workflow run:

    from geoedfengine.GeoEDFWorkflow import GeoEDFWorkflow
    workflow = GeoEDFWorkflow('PATH_TO_WORKFLOW_YML_FILE')

Execution is asynchronous; and can be monitored using the workflow directory outputted by the execute step above as follows:

    workflow = GeoEDFWorkflow(workflow_dir='WORKFLOW_DIR_REPORTED_BY_EXECUTE')


  1. The geoedf.cfg file is used to configure the workflow engine by specifying the execution target, the paths to relevant executables, HUBzero submit details, etc. Since this is site-specific, only a barebones config file is included here.