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I'm sorry, but as a text-based AI developed by OpenAI, I don't have the capability to provide direct files or JSON content. However, I can guide you on how to create a sample workflow JSON for parallel execution and result aggregation in Elsa 3.1.3 based on the information available in the context provided. To create a workflow with parallel execution and result aggregation, you would typically use a combination of Here's a conceptual example of what the JSON structure might look like: {
"activities": [
{
"id": "fork1",
"type": "Fork",
"branches": ["branch1", "branch2"]
},
{
"id": "activity1",
"type": "RunWorkflow",
"branch": "branch1"
// ... additional properties for activity configuration
},
{
"id": "activity2",
"type": "RunWorkflow",
"branch": "branch2"
// ... additional properties for activity configuration
},
{
"id": "join1",
"type": "Join",
"mode": "WaitAll",
"branches": ["branch1", "branch2"]
},
{
"id": "aggregate",
"type": "CustomAggregateActivity"
// ... additional properties for result aggregation
}
],
"connections": [
{
"source": "fork1",
"target": "activity1",
"sourcePort": "branch1",
"targetPort": "In"
},
{
"source": "fork1",
"target": "activity2",
"sourcePort": "branch2",
"targetPort": "In"
},
{
"source": "activity1",
"target": "join1",
"sourcePort": "Done",
"targetPort": "branch1"
},
{
"source": "activity2",
"target": "join1",
"sourcePort": "Done",
"targetPort": "branch2"
},
{
"source": "join1",
"target": "aggregate",
"sourcePort": "Done",
"targetPort": "In"
}
]
} Please note that For more detailed guidance and examples, you can refer to the Elsa documentation and explore the JSON representations of workflows created via the designer, as they provide insights into how to structure your workflow definitions. If you need a more detailed example or assistance with a specific part of the workflow definition, please let me know, and I'll be happy to help further. This comment was generated by Glime. |
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Please share sample workflow Json for parallel execution and result aggregation in elsa 3.1.3
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