Deploying your Document Processing project in an authoring environment

After you complete your work in the Document Processing Designer, you can deploy your project so that it is available for creating a user application.

About this task

Deployment makes updates to your content repository and your Team Server to prepare your environment for document processing. In an authoring environment, the deployment capability is available from the Document Processing Designer.

You can deploy versions of the project multiple times during development. You can also deploy to additional object stores.

Note: Deployment candidates are limited to the latest deployed project version, or later non-deployed versions. When you deploy to non-default object stores, you might see earlier project versions in the list of projects to deploy. Attempting to deploy an earlier version results in an error condition.

Procedure

To deploy your project in an authoring environment:

  1. In the Designer task list, click Version/Deploy.
  2. In the Deploy pane, use the Deploy to repository field to choose the repository where you want to deploy.
  3. Choose the version from the Version to deploy list.
    The Current deployed version shows the most recent successful deployment, while the Last deployed version value updates to display the most recently deployed version, successful or not, for the repository that you selected. Choose the last deployed version or of the project or any version that is later than the current deployed version.
  4. If you don't see a recent version that you want to deploy, you can create a version by clicking Save a new version and entering notes for the version.
  5. After you choose the version, click Deploy.

Results

The project is deployed in your authoring environment. During the process, status messages show the progress of the deployment. The process accomplishes the following tasks:
  • Retrieving and parsing the project snapshot
  • Creating business teams
  • Creating content metadata
  • Creating roles
  • Importing the machine learning model
  • Importing document types and fields

What to do next

If you encounter errors during the deployment, see error codes and messages in Troubleshooting project deployment and learn what to do in Troubleshooting a deployment in an authoring environment.