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rbd-app/temporal/workflow.py

184 lines
7.0 KiB
Python

from datetime import timedelta
from temporalio import workflow
from temporalio.client import Client
from temporalio.common import RetryPolicy
import os
with workflow.unsafe.imports_passed_through():
from temporal.activity import calculate_plant_eaf_activity, collect_rbd_reliability_for_ramp_activity, execute_ramp_simulation_activity, execute_simulation_activity, get_simulation_engine_activity, update_contribution_bulk_mappings_activity, update_equipment_for_simulation_activity,call_callback_ahm, acquire_lock, release_lock,execute_update_node, handle_workflow_failure
TEMPORAL_URL = os.environ.get("TEMPORAL_URL", "http://192.168.1.86:7233")
_RETRY_POLICY = RetryPolicy(
initial_interval=timedelta(seconds=10),
backoff_coefficient=2.0,
maximum_interval=timedelta(minutes=2),
maximum_attempts=3,
)
_NO_RETRY_POLICY = RetryPolicy(maximum_attempts=1)
def _workflow_error_message(error: Exception) -> str:
messages = []
current = error
while current:
message = str(current)
if message and message not in messages:
messages.append(message)
current = getattr(current, "__cause__", None)
return " | caused by: ".join(messages) or error.__class__.__name__
@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 = "QUEUE"
lock_acquired = False
workflow_failed = False
try:
await workflow.execute_activity(
acquire_lock,
sim_data["HubCnnId"],
start_to_close_timeout=timedelta(hours=2, minutes=5),
retry_policy=_NO_RETRY_POLICY,
)
lock_acquired = True
self.status = "RUNNING"
engine = await workflow.execute_activity(
get_simulation_engine_activity,
{**sim_data},
start_to_close_timeout=timedelta(seconds=30),
retry_policy=_NO_RETRY_POLICY,
)
if engine == "aeros":
self.status = "UPDATING_AEROS_EQUIPMENT"
results = await workflow.execute_activity(
update_equipment_for_simulation_activity,
{**sim_data},
start_to_close_timeout=timedelta(minutes=30),
retry_policy=_RETRY_POLICY,
)
await workflow.execute_activity(
execute_update_node,
{"projectName": sim_data['projectName'], "equipment_nodes": results['equipment_nodes']},
start_to_close_timeout=timedelta(minutes=30),
retry_policy=_RETRY_POLICY,
)
self.status = "RUNNING_AEROS_SIMULATION"
await workflow.execute_activity(
execute_simulation_activity,
{"sim_data": sim_data, "eq_update": results['reliability']},
start_to_close_timeout=timedelta(hours=2),
retry_policy=_NO_RETRY_POLICY,
)
await workflow.execute_activity(
calculate_plant_eaf_activity,
sim_data,
start_to_close_timeout=timedelta(minutes=30),
retry_policy=_RETRY_POLICY,
)
elif engine == "ramp":
self.status = "BUILDING_RAMP_DISTRIBUTION_OVERRIDES"
results = await workflow.execute_activity(
collect_rbd_reliability_for_ramp_activity,
{**sim_data},
start_to_close_timeout=timedelta(minutes=30),
retry_policy=_RETRY_POLICY,
)
self.status = "RUNNING_RAMP_SIMULATION"
await workflow.execute_activity(
execute_ramp_simulation_activity,
{"sim_data": sim_data, "eq_update": results},
start_to_close_timeout=timedelta(hours=2),
retry_policy=_NO_RETRY_POLICY,
)
else:
raise ValueError(f"Unsupported simulation engine: {engine}")
await workflow.execute_activity(
update_contribution_bulk_mappings_activity,
sim_data["HubCnnId"],
start_to_close_timeout=timedelta(minutes=30),
retry_policy=_RETRY_POLICY,
)
if sim_data.get("AhmJobId"):
await workflow.execute_activity(
call_callback_ahm,
{
"simulation_id": sim_data["HubCnnId"],
"job_id": sim_data["AhmJobId"]
},
start_to_close_timeout=timedelta(minutes=5),
retry_policy=_RETRY_POLICY,
)
self.status = "COMPLETED"
self.isDone = True
if sim_data.get("CallbackWorkflowId"):
handle = workflow.get_external_workflow_handle(
sim_data["CallbackWorkflowId"]
)
await handle.signal("notify_done")
return sim_data["HubCnnId"]
except Exception as e:
failed_stage = self.status
self.status = "FAILED"
workflow_failed = True
await workflow.execute_activity(
handle_workflow_failure,
{
"simulation_id": sim_data["HubCnnId"],
"stage": failed_stage,
"error": _workflow_error_message(e),
"ahm_job_id": sim_data.get("AhmJobId"),
},
start_to_close_timeout=timedelta(seconds=30),
retry_policy=_NO_RETRY_POLICY,
)
raise
finally:
if lock_acquired:
try:
await workflow.execute_activity(
release_lock,
sim_data["HubCnnId"],
start_to_close_timeout=timedelta(minutes=10),
retry_policy=_RETRY_POLICY,
)
except Exception as release_error:
await workflow.execute_activity(
handle_workflow_failure,
{
"simulation_id": sim_data["HubCnnId"],
"stage": "release_lock",
"error": f"Failed to release simulation lock: {release_error}",
"ahm_job_id": sim_data.get("AhmJobId"),
},
start_to_close_timeout=timedelta(seconds=30),
retry_policy=_NO_RETRY_POLICY,
)
if not workflow_failed:
raise