from datetime import timedelta
from temporalio import workflow

from temporal.activity import calculate_plant_eaf_activity, execute_simulation_activity, update_contribution_bulk_mappings_activity, update_equipment_for_simulation_activity,call_callback_ahm



@workflow.defn
class SimulationWorkflow:
    def __init__(self):
        self.status = "INITIALIZED"
        self.isDone = False

    @workflow.query
    def get_status(self) -> str:
        return self.status
    
    @workflow.query
    def is_done(self) -> bool:
        return self.isDone
    
    @workflow.run
    async def run(self, sim_data: dict) -> str:
        self.status = "RUNNING"
        
        # 1. Update equipment for simulation
        results = await workflow.execute_activity(
            update_equipment_for_simulation_activity,
            {**sim_data},  # ✅ one positional argument
            start_to_close_timeout=timedelta(days=1)
        )

        # 2. Execute simulation
        await workflow.execute_activity(
            execute_simulation_activity,
            {"sim_data": sim_data, "eq_update": results},
            start_to_close_timeout=timedelta(days=1)
        )

        # 3. Calculate EAF
        await workflow.execute_activity(
            calculate_plant_eaf_activity,
            sim_data,
            start_to_close_timeout=timedelta(days=1)
        )
        
        await workflow.execute_activity(
            update_contribution_bulk_mappings_activity,
            sim_data["HubCnnId"],
            start_to_close_timeout=timedelta(days=1)
        )
        
        
        if "AhmJobId" in sim_data:
            await workflow.execute_activity(
                call_callback_ahm,
                {
                    "simulation_id": sim_data["HubCnnId"],
                    "job_id": sim_data["AhmJobId"]
                },
                start_to_close_timeout=timedelta(days=1)
            )

        self.status = "COMPLETED"
        # etc…
        self.isDone = True
        return sim_data["HubCnnId"]  # simulation_id