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69 lines
2.1 KiB
Python
69 lines
2.1 KiB
Python
from datetime import timedelta
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from temporalio import workflow
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with workflow.unsafe.imports_passed_through():
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from temporal.activity import calculate_plant_eaf_activity, execute_simulation_activity, update_contribution_bulk_mappings_activity, update_equipment_for_simulation_activity,call_callback_ahm
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@workflow.defn
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class SimulationWorkflow:
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def __init__(self):
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self.status = "INITIALIZED"
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self.isDone = False
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@workflow.query
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def get_status(self) -> str:
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return self.status
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@workflow.query
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def is_done(self) -> bool:
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return self.isDone
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@workflow.run
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async def run(self, sim_data: dict) -> str:
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self.status = "RUNNING"
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# 1. Update equipment for simulation
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results = await workflow.execute_activity(
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update_equipment_for_simulation_activity,
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{**sim_data}, # ✅ one positional argument
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start_to_close_timeout=timedelta(days=1)
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)
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# 2. Execute simulation
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await workflow.execute_activity(
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execute_simulation_activity,
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{"sim_data": sim_data, "eq_update": results},
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start_to_close_timeout=timedelta(days=1)
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)
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# 3. Calculate EAF
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await workflow.execute_activity(
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calculate_plant_eaf_activity,
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sim_data,
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start_to_close_timeout=timedelta(days=1)
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)
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await workflow.execute_activity(
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update_contribution_bulk_mappings_activity,
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sim_data["HubCnnId"],
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start_to_close_timeout=timedelta(days=1)
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)
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if "AhmJobId" in sim_data:
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await workflow.execute_activity(
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call_callback_ahm,
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{
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"simulation_id": sim_data["HubCnnId"],
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"job_id": sim_data["AhmJobId"]
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},
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start_to_close_timeout=timedelta(days=1)
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)
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self.status = "COMPLETED"
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# etc…
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self.isDone = True
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return sim_data["HubCnnId"] # simulation_id
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