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eb06cf5c8d
* Format codebase to satisfy linters * fixing pylance and ruff-checked files * contributing md, and type and formatting fixes * setup file capitalization * test fix
118 lines
4.2 KiB
Python
118 lines
4.2 KiB
Python
import os
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from dataclasses import dataclass
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from datetime import date
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from temporalio import common
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from temporalio.client import WithStartWorkflowOperation, WorkflowUpdateFailedError
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from shared.config import get_temporal_client
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# Define data structures to match the Java workflow's expected input/output
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# see https://github.com/temporal-sa/temporal-latency-optimization-scenarios for more details
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@dataclass
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class TransactionRequest:
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amount: float
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sourceAccount: str
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targetAccount: str
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@dataclass
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class TxResult:
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transactionId: str
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status: str
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# demonstrate starting a workflow and early return pattern while the workflow continues
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async def submit_loan_application(args: dict) -> dict:
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account_key = args.get("email_address_or_account_ID")
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amount = args.get("amount")
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loan_status: dict = await start_workflow(amount=amount, account_name=account_key)
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if loan_status.get("error") is None:
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return {
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"status": loan_status.get("loan_application_status"),
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"detailed_status": loan_status.get("application_details"),
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"next_step": loan_status.get("advisement"),
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"confirmation_id": loan_status.get("transaction_id"),
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}
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else:
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print(loan_status)
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return loan_status
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# Async function to start workflow
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async def start_workflow(
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amount: str,
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account_name: str,
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) -> dict:
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start_real_workflow = os.getenv("FIN_START_REAL_WORKFLOW")
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if start_real_workflow is not None and start_real_workflow.lower() == "false":
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# START_REAL_WORKFLOW = False
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return {
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"loan_application_status": "applied",
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"application_details": "loan application is submitted and initial validation is complete",
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"transaction_id": "APPLICATION" + account_name,
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"advisement": "You'll receive a confirmation for final approval in three business days",
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}
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else:
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# START_REAL_WORKFLOW = True
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# Connect to Temporal
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client = await get_temporal_client()
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# Define the workflow ID and task queue
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workflow_id = (
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"LOAN_APPLICATION-" + account_name + "-" + date.today().strftime("%Y-%m-%d")
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)
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task_queue = "LatencyOptimizationTEST"
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# Create a TransactionRequest (matching the Java workflow's expected input)
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tx_request = TransactionRequest(
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amount=float(amount),
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targetAccount=account_name,
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sourceAccount=account_name,
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)
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start_op = WithStartWorkflowOperation(
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"TransactionWorkflowLocalBeforeUpdate",
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tx_request,
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id=workflow_id,
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id_conflict_policy=common.WorkflowIDConflictPolicy.USE_EXISTING,
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task_queue=task_queue,
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)
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try:
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print("trying update-with-start")
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tx_result = TxResult(
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await client.execute_update_with_start_workflow(
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"returnInitResult",
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start_workflow_operation=start_op,
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)
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)
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except WorkflowUpdateFailedError:
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print("aww man got exception WorkflowUpdateFailedError")
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tx_result = None
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return_msg = "Loan could not be processed for " + account_name
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return {"error": return_msg}
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workflow_handle = await start_op.workflow_handle()
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print(f"Workflow started with ID: {workflow_handle.id}")
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print(tx_result)
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print(
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f"Update result: Transaction ID = {tx_result.transactionId}, Message = {tx_result.status}"
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)
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# Optionally, wait for the workflow to complete and get the final result
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# final_result = await handle.result()
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# print(f"Workflow completed with result: {final_result}")
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# 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")}
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return {
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"loan_application_status": "applied",
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"application_details": "loan application is submitted and initial validation is complete",
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"transaction_id": tx_result.transactionId,
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"advisement": "You'll receive a confirmation for final approval in three business days",
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}
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