mirror of
https://github.com/temporal-community/temporal-ai-agent.git
synced 2026-03-15 14:08:08 +01:00
yeah this won't work
This commit is contained in:
94
tools/fin/submit_loan_application.py
Normal file
94
tools/fin/submit_loan_application.py
Normal file
@@ -0,0 +1,94 @@
|
|||||||
|
from datetime import timedelta
|
||||||
|
import os
|
||||||
|
from pathlib import Path
|
||||||
|
import json
|
||||||
|
from temporalio.client import Client, WorkflowHandle
|
||||||
|
from dataclasses import dataclass
|
||||||
|
from typing import Optional
|
||||||
|
import asyncio
|
||||||
|
from temporalio.exceptions import WorkflowAlreadyStartedError
|
||||||
|
from shared.config import get_temporal_client
|
||||||
|
|
||||||
|
|
||||||
|
# Define data structures to match the Java workflow's expected input/output
|
||||||
|
# see https://github.com/temporal-sa/temporal-latency-optimization-scenarios for more details
|
||||||
|
@dataclass
|
||||||
|
class TransactionRequest:
|
||||||
|
amount: float
|
||||||
|
account_id: str
|
||||||
|
|
||||||
|
@dataclass
|
||||||
|
class TxResult:
|
||||||
|
transaction_id: str
|
||||||
|
message: str
|
||||||
|
|
||||||
|
#demonstrate starting a workflow and early return pattern while the workflow continues
|
||||||
|
async def submit_loan_application(args: dict) -> dict:
|
||||||
|
account_key = args.get("accountkey")
|
||||||
|
amount = args.get("amount")
|
||||||
|
|
||||||
|
loan_status: dict = await start_workflow(amount=amount,account_name=account_key)
|
||||||
|
|
||||||
|
return {'status': loan_status.get("loan_status"), 'detailed_status': loan_status.get("results"), 'next_step': loan_status.get("advisement"), 'confirmation_id': loan_status.get("workflowID")}
|
||||||
|
|
||||||
|
|
||||||
|
# Async function to start workflow
|
||||||
|
async def start_workflow(amount: str, account_name: str, )-> dict:
|
||||||
|
|
||||||
|
# Connect to Temporal
|
||||||
|
client = await get_temporal_client()
|
||||||
|
start_real_workflow = os.getenv("FIN_START_REAL_WORKFLOW")
|
||||||
|
if start_real_workflow is not None and start_real_workflow.lower() == "false":
|
||||||
|
START_REAL_WORKFLOW = False
|
||||||
|
else:
|
||||||
|
START_REAL_WORKFLOW = True
|
||||||
|
|
||||||
|
if START_REAL_WORKFLOW:
|
||||||
|
|
||||||
|
# Define the workflow ID and task queue
|
||||||
|
workflow_id = "APPLICATION-"+account_name
|
||||||
|
task_queue = "LatencyOptimizationTEST"
|
||||||
|
|
||||||
|
# Create a TransactionRequest (matching the Java workflow's expected input)
|
||||||
|
tx_request = TransactionRequest(
|
||||||
|
amount=float(amount),
|
||||||
|
account_id=account_name
|
||||||
|
)
|
||||||
|
|
||||||
|
#try:
|
||||||
|
# Use update-with-start to start the workflow and call the update method
|
||||||
|
handle: WorkflowHandle = await client.start_workflow(
|
||||||
|
"TransactionWorkflowLocalBeforeUpdate.processTransaction", # Workflow name
|
||||||
|
tx_request, # Input to the processTransaction method
|
||||||
|
id=workflow_id,
|
||||||
|
task_queue=task_queue,
|
||||||
|
execution_timeout=timedelta(minutes=5),
|
||||||
|
# Specify the update to call immediately after starting
|
||||||
|
update="returnInitResult",
|
||||||
|
update_args=[] # No arguments needed for returnInitResult
|
||||||
|
)
|
||||||
|
|
||||||
|
# Wait for the update result (returnInitResult)
|
||||||
|
update_result = await handle.result_of_update("returnInitResult")
|
||||||
|
|
||||||
|
# Since the result is a RawValue, we need to deserialize it
|
||||||
|
# For simplicity, assuming the result is TxResult (adjust based on actual serialization)
|
||||||
|
#result_dict = update_result.payloads[0].decode() # Simplified; use proper deserialization
|
||||||
|
tx_result = TxResult(
|
||||||
|
transaction_id=result_dict.get("transaction_id", ""),
|
||||||
|
message=result_dict.get("message", "")
|
||||||
|
)
|
||||||
|
|
||||||
|
print(f"Update result: Transaction ID = {tx_result.transaction_id}, Message = {tx_result.message}")
|
||||||
|
|
||||||
|
# Optionally, wait for the workflow to complete and get the final result
|
||||||
|
# final_result = await handle.result()
|
||||||
|
# print(f"Workflow completed with result: {final_result}")
|
||||||
|
|
||||||
|
#except Exception as e:
|
||||||
|
# print(f"Error executing workflow: {e}")
|
||||||
|
|
||||||
|
|
||||||
|
# return {'status': loan_status.get("loan_status"), 'detailed_status': loan_status.get("results"), 'next_step': loan_status.get("advisement"), 'confirmation_id': loan_status.get("workflowID")}
|
||||||
|
return {'status': "status", 'detailed_status': "loan application is submitted and initial validation is complete",'confirmation id': "11358", 'next_step': "You'll receive a confirmation for final approval in three business days", }
|
||||||
|
|
||||||
Reference in New Issue
Block a user