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Initial Commit 🚀 🚀
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227
api/tasks/run_integrations.py
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227
api/tasks/run_integrations.py
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import os
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import aiohttp
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import httpx
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from loguru import logger
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from pipecat.utils.context import set_current_run_id
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from api.db import db_client
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from api.db.models import IntegrationModel
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from api.enums import OrganizationConfigurationKey, WorkflowRunMode
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from api.utils.template_renderer import render_template
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async def run_integrations_post_workflow_run(ctx, workflow_run_id: int):
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"""
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Run integrations after a workflow run completes.
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This function:
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1. Gets the workflow run and its gathered_context
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2. Determines the organization_id through the workflow -> user -> organization chain
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3. Fetches all active integrations for that organization
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4. For Slack integrations, sends the gathered_context to the webhook URL
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Args:
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workflow_run_id: The ID of the completed workflow run
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"""
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# Set the workflow_run_id in context variable for consistent logging format
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set_current_run_id(workflow_run_id)
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logger.info("Running integrations for workflow run")
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try:
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# Step 1: Get workflow run details with gathered_context using DB client
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workflow_run, organization_id = await db_client.get_workflow_run_with_context(
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workflow_run_id
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)
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if not workflow_run:
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logger.error("Workflow run not found")
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return
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if not workflow_run.workflow:
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logger.error("Workflow not found for workflow run")
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return
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if not workflow_run.workflow.user:
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logger.error("User not found for workflow run")
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return
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gathered_context = workflow_run.gathered_context
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initial_context = workflow_run.initial_context
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if not gathered_context:
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logger.info("No gathered context for workflow run, skipping integrations")
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return
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# Check if workflow run mode is stasis and sync with vendor
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if workflow_run.mode == WorkflowRunMode.STASIS.value:
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await _sync_vendor_data(initial_context, gathered_context)
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# Step 2: Check if organization_id is available
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if not organization_id:
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logger.warning(
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f"No organization found for workflow run, skipping integrations"
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)
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return
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logger.debug(f"Found organization_id {organization_id} for workflow run")
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# Step 3: Get all active integrations for the organization using DB client
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integrations = await db_client.get_active_integrations_by_organization(
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organization_id
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)
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logger.info(
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f"Found {len(integrations)} active integrations for organization {organization_id}"
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)
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# Step 4: Process each integration
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for integration in integrations:
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await _process_integration(integration, gathered_context)
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except Exception as e:
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logger.error(f"Error running integrations for workflow run: {str(e)}")
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raise
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async def _sync_vendor_data(initial_context: dict, gathered_context: dict):
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"""
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Sync data with external vendor for stasis mode workflow runs.
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Args:
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initial_context: The initial context containing lead_id
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gathered_context: The gathered context containing mapped_call_disposition
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"""
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if not os.getenv("ARI_DATA_SYNCING_URI"):
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logger.info("ARI_DATA_SYNCING_URI not configured, skipping vendor sync")
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return
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try:
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lead_id = initial_context.get("lead_id")
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status = gathered_context.get("mapped_call_disposition")
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if lead_id and status:
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ari_data_uri = os.getenv("ARI_DATA_SYNCING_URI")
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# Add URL params to the base URL
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sync_url = f"{ari_data_uri}&lead_id={lead_id}&status={status}"
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async with httpx.AsyncClient() as client:
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response = await client.post(sync_url, timeout=10.0)
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response.raise_for_status()
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logger.info(
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f"Successfully synced data for lead_id: {lead_id} with status: {status}"
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)
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else:
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logger.warning(
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f"Missing lead_id or status for syncing - lead_id: {lead_id}, status: {status}"
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)
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except Exception as e:
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logger.error(f"Failed to sync data to ARI_DATA_SYNCING_URI: {e}")
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async def _process_integration(
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integration: IntegrationModel,
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gathered_context: dict,
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):
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"""
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Process a single integration.
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Args:
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integration: The integration model
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gathered_context: The gathered context from the workflow run
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workflow_run_name: Name of the workflow run
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run_id: The workflow run ID for logging context
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"""
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logger.info(
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f"Processing integration {integration.id} (provider: {integration.provider})"
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)
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try:
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if integration.provider.lower() == "slack":
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await _process_slack_integration(integration, gathered_context)
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else:
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logger.info(
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f"Integration provider '{integration.provider}' not supported yet"
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)
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except Exception as e:
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logger.error(f"Error processing integration {integration.id}: {str(e)}")
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async def _process_slack_integration(
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integration: IntegrationModel, gathered_context: dict
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):
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"""
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Process a Slack integration by sending gathered_context to the webhook.
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Args:
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integration: The Slack integration model
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gathered_context: The gathered context from the workflow run
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workflow_run_name: Name of the workflow run
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run_id: The workflow run ID for logging context
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"""
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logger.info(f"Processing Slack integration {integration.id}")
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# TODO: Generalise this, currently tailored to Kapil's use case
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if gathered_context.get("mapped_call_disposition") != "XFER":
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logger.debug(
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f"Not sending message on slack since not XFER: {gathered_context.get('mapped_call_disposition')}"
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)
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return
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try:
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# Extract webhook URL from connection_details
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connection_details = integration.connection_details
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if not connection_details:
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logger.error(
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f"No connection details found for Slack integration {integration.id}"
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)
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return
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# Navigate to incoming_webhook.url in the connection_details
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webhook_url = connection_details.get("connection_config", {}).get(
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"incoming_webhook.url"
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)
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if not webhook_url:
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logger.error(
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f"No incoming_webhook found in connection details for integration {integration.id}"
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)
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return
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logger.info(f"Found Slack webhook URL for integration {integration.id}")
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# Get message template configuration
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# Get organization_id from the integration model
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organization_id = integration.organisation_id
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message_templates = await db_client.get_configuration_value(
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organization_id,
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OrganizationConfigurationKey.DISPOSITION_MESSAGE_TEMPLATE.value,
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default={},
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)
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# Check if there's a custom template for Slack
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slack_template = message_templates.get("slack", {})
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rendered_text = render_template(slack_template, gathered_context)
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slack_message = {"text": rendered_text}
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# Send to Slack webhook
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async with aiohttp.ClientSession() as session:
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async with session.post(
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webhook_url,
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json=slack_message,
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headers={"Content-Type": "application/json"},
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) as response:
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if response.status == 200:
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logger.info(
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f"Successfully sent message to Slack for integration {integration.id}"
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)
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else:
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error_text = await response.text()
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logger.error(
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f"Failed to send Slack message for integration {integration.id}: {response.status} - {error_text}"
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)
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except Exception as e:
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logger.error(f"Error processing Slack integration {integration.id}: {str(e)}")
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