mirror of https://github.com/dapr/dapr-agents.git
33 lines
1000 B
Python
33 lines
1000 B
Python
from dapr_agents import WorkflowApp
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from dapr_agents.types import DaprWorkflowContext
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wfapp = WorkflowApp()
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@wfapp.workflow(name='random_workflow')
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def task_chain_workflow(ctx:DaprWorkflowContext, input: int):
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result1 = yield ctx.call_activity(step1, input=input)
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result2 = yield ctx.call_activity(step2, input=result1)
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result3 = yield ctx.call_activity(step3, input=result2)
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return [result1, result2, result3]
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@wfapp.task
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def step1(activity_input):
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print(f'Step 1: Received input: {activity_input}.')
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# Do some work
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return activity_input + 1
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@wfapp.task
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def step2(activity_input):
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print(f'Step 2: Received input: {activity_input}.')
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# Do some work
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return activity_input * 2
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@wfapp.task
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def step3(activity_input):
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print(f'Step 3: Received input: {activity_input}.')
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# Do some work
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return activity_input ^ 2
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if __name__ == '__main__':
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results = wfapp.run_and_monitor_workflow(task_chain_workflow, input=10)
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print(f"Results: {results}") |