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DataCROP Maize Workflow Management Engine Developer Guide

The Workflow Management Engine (WME) is the DataCROP Maize application for modeling workflows and running processors. This guide focuses on developer-facing integration points, especially how to package processors and connect them to WME data inputs and outputs.

Who this guide is for​

  • Developers integrating custom processors into WME workflows.
  • Teams packaging services with docker-compose.yml and runtime .env configuration.
  • Engineers wiring processors to WME digital resources for data input and output.

What you'll learn​

  • What "processor integration" means in WME: a packaging contract plus a data I/O compatibility contract.
  • How to expose WME-compatible env vars derived from data interface types.
  • Where to find user-guide context on digital resources and workflow wiring.

Developer guide map​

  • Integrating Custom Processors: packaging requirements and WME-compatible data I/O env vars.
  • Processor definitions and Model Repository defaults (planned).
  • Workflow execution and worker deployment integration points (planned).
  • API and automation hooks (planned).