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Workflows: Read workflow schemas with the taskmaestro CLI
Replace the rips.taskmaestro_helper introspect subcommand with `python -m taskmaestro workflow describe --json`. RimWorkflowDescribeTools converts the describe output (JSON schemas, depends_on, config_values) into the workflow graph used by the Workflow UI. This also adds support for collect dependencies and maps rips.Reservoir to EclipseCase pickers.
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@@ -34,6 +34,15 @@ git clone https://github.com/OPM/taskmaestro-resinsight.git \
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python -m pip install -e ~/resinsight-workflows/taskmaestro-resinsight
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```
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ResInsight reads workflows with `python -m taskmaestro workflow describe`, which
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needs a `taskmaestro` version that reports `config_values`
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([OPM/taskmaestro#13](https://github.com/OPM/taskmaestro/pull/13)). Until that
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is released, install it from Git:
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```bash
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python -m pip install "git+https://github.com/OPM/taskmaestro.git@main"
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```
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## 2. Register the workflows
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ResInsight discovers workflows in `~/.taskmaestro/workflows`:
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@@ -70,5 +79,8 @@ tree. Select a workflow, provide its inputs, and click **Run**.
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`~/.taskmaestro/workflows` contains `workflow.yaml`, then restart ResInsight.
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- **A Python module cannot be found:** Confirm that **Python Executable
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Location** points to the virtual environment created above.
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- **A workflow fails to load with `invalid choice: 'workflow'`, or its inputs
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are not pre-filled from `input.yaml`:** The installed `taskmaestro` is too
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old; reinstall it as described above.
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- **The workflow cannot connect:** Enable **Python Script Server** and restart
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ResInsight.
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