64 lines
2.1 KiB
Python
64 lines
2.1 KiB
Python
import asyncio
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import os
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import sys
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import logging
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from temporalio.client import Client
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from temporalio.worker import Worker
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# Configure basic logging so we can see output in Kubernetes logs
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logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
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logger = logging.getLogger(__name__)
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from curaflow_agent.workflows import ClinicalIntakeWorkflow, LabResultWatcherWorkflow, AppointmentBookingWorkflow
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from curaflow_agent.activities import (
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structure_note_activity,
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generate_billing_codes_activity,
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analyze_lab_anomaly_activity,
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send_alert_activity,
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save_clinical_record_activity,
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parse_booking_intent_activity,
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send_whatsapp_reply_activity,
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save_appointment_activity
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)
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async def main():
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temporal_url = os.environ.get("TEMPORAL_URL", "temporal-frontend.ai-core.svc.cluster.local:7233")
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temporal_namespace = os.environ.get("TEMPORAL_NAMESPACE", "default")
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task_queue = os.environ.get("CURAFLOW_TASK_QUEUE", "curaflow-tasks")
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logger.info(f"Connecting to Temporal cluster at {temporal_url} (Namespace: {temporal_namespace})")
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try:
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client = await Client.connect(temporal_url, namespace=temporal_namespace)
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logger.info("Successfully connected to Temporal!")
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except Exception as e:
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logger.error(f"Failed to connect to Temporal: {e}")
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sys.exit(1)
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worker = Worker(
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client,
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task_queue=task_queue,
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workflows=[ClinicalIntakeWorkflow, LabResultWatcherWorkflow, AppointmentBookingWorkflow],
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activities=[
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structure_note_activity,
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generate_billing_codes_activity,
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analyze_lab_anomaly_activity,
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send_alert_activity,
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save_clinical_record_activity,
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parse_booking_intent_activity,
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send_whatsapp_reply_activity,
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save_appointment_activity
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],
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)
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logger.info(f"Starting CuraFlow agent worker on queue '{task_queue}'...")
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await worker.run()
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if __name__ == "__main__":
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asyncio.run(main())
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# Trigger CI/CD
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# Trigger CI/CD again
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