264 lines
14 KiB
Python
264 lines
14 KiB
Python
import temporalio.workflow
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from typing import Any, Dict, List, Callable, Awaitable
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import logging
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import asyncio
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import json
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import datetime
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import re
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import jmespath
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from temporalio.exceptions import ApplicationError
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# Configure logging
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logging.basicConfig(level=logging.INFO,
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format="%(asctime)s [%(levelname)s] %(message)s")
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logger = logging.getLogger(__name__)
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@temporalio.workflow.defn
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class test_repo_test_branch:
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@temporalio.workflow.run
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async def run(self, root_inputs: Dict[str, Any]) -> Dict[str, Any]:
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workflow_info = temporalio.workflow.info()
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workflow_output: Dict[str, Any] = {
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"workflow_id": workflow_info.workflow_id,
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"run_id": workflow_info.run_id,
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"name": "test_repo_test_branch",
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"status": "in_progress",
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"blocks": [],
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"root_input": root_inputs
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}
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try:
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# Initialize results
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results: Dict[str, Any] = {}
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# Define task functions
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task_functions: Dict[str, Callable[[], Awaitable[Any]]] = {}
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async def task_2():
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node_id = "2"
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block_name = "addition"
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# Prepare inputs
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input_params: Dict[str, Any] = {}
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try:
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jsonpath_expr = jmespath.compile("a")
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value = jsonpath_expr.search(root_inputs)
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input_params["a"] = value
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except Exception as e:
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logger.error(f"Error parsing jsonpath 'a' for parameter 'a': {e}")
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input_params["a"] = None
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try:
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jsonpath_expr = jmespath.compile("b")
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value = jsonpath_expr.search(root_inputs)
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input_params["b"] = value
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except Exception as e:
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logger.error(f"Error parsing jsonpath 'b' for parameter 'b': {e}")
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input_params["b"] = None
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logger.info(f"Starting 'addition' activity on task queue 'blocks_transformer_addition_97ec9e0d50' with inputs: %s", input_params)
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try:
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# Convert timeouts and intervals from milliseconds to seconds
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schedule_to_close_timeout_value_ms = 0
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start_to_close_timeout_value_ms = 0
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schedule_to_close_timeout = None if schedule_to_close_timeout_value_ms == 0 else datetime.timedelta(seconds=schedule_to_close_timeout_value_ms / 1000.0)
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start_to_close_timeout = None if start_to_close_timeout_value_ms == 0 else datetime.timedelta(seconds=start_to_close_timeout_value_ms / 1000.0)
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initial_interval_value_ms = 1000
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maximum_interval_value_ms = 100000
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initial_interval = datetime.timedelta(seconds=initial_interval_value_ms / 1000.0)
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maximum_interval = datetime.timedelta(seconds=maximum_interval_value_ms / 1000.0)
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maximum_attempts_value = 0
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maximum_attempts = None if maximum_attempts_value == 0 else maximum_attempts_value
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result = await temporalio.workflow.execute_activity(
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"block_main_activity",
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input_params,
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schedule_to_close_timeout=schedule_to_close_timeout,
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start_to_close_timeout=start_to_close_timeout,
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task_queue="blocks_transformer_addition_97ec9e0d50",
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retry_policy=temporalio.common.RetryPolicy(
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maximum_attempts=maximum_attempts,
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initial_interval=initial_interval,
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backoff_coefficient=2,
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maximum_interval=maximum_interval
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)
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)
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logger.info(f"Completed 'addition' activity with result: %s", result)
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block_status = "completed"
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block_error = None
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results[node_id] = result
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except Exception as e:
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logger.error(f"Activity 'addition' failed with error: {e}")
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result = None
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block_status = "failed"
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block_error = {
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"code": type(e).__name__,
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"description": str(e),
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"details": {"cause": str(getattr(e, "cause", "No additional details"))}
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}
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workflow_output["status"] = "failed"
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# Collect block output
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workflow_output["blocks"].append({
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"activity_id": node_id,
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"name": block_name,
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"status": block_status,
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"input": input_params,
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"result": result,
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"error": block_error
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})
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task_functions["2"] = task_2
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async def task_m3aiq7ixuo6du35h8tr():
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node_id = "m3aiq7ixuo6du35h8tr"
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block_name = "multiply"
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# Prepare inputs
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input_params: Dict[str, Any] = {}
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try:
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source_data = results.get("2", {})
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jsonpath_expr = jmespath.compile("sum")
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value = jsonpath_expr.search(source_data)
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input_params["sum"] = value
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except Exception as e:
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logger.error(f"Error parsing jsonpath 'sum' for parameter 'sum' from node '2': {e}")
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input_params["sum"] = None
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logger.info(f"Starting 'multiply' activity on task queue 'blocks_transformer_multiply_db086f09c9' with inputs: %s", input_params)
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try:
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# Convert timeouts and intervals from milliseconds to seconds
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schedule_to_close_timeout_value_ms = 0
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start_to_close_timeout_value_ms = 0
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schedule_to_close_timeout = None if schedule_to_close_timeout_value_ms == 0 else datetime.timedelta(seconds=schedule_to_close_timeout_value_ms / 1000.0)
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start_to_close_timeout = None if start_to_close_timeout_value_ms == 0 else datetime.timedelta(seconds=start_to_close_timeout_value_ms / 1000.0)
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initial_interval_value_ms = 1000
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maximum_interval_value_ms = 100000
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initial_interval = datetime.timedelta(seconds=initial_interval_value_ms / 1000.0)
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maximum_interval = datetime.timedelta(seconds=maximum_interval_value_ms / 1000.0)
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maximum_attempts_value = 0
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maximum_attempts = None if maximum_attempts_value == 0 else maximum_attempts_value
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result = await temporalio.workflow.execute_activity(
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"block_main_activity",
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input_params,
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schedule_to_close_timeout=schedule_to_close_timeout,
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start_to_close_timeout=start_to_close_timeout,
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task_queue="blocks_transformer_multiply_db086f09c9",
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retry_policy=temporalio.common.RetryPolicy(
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maximum_attempts=maximum_attempts,
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initial_interval=initial_interval,
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backoff_coefficient=2,
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maximum_interval=maximum_interval
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)
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)
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logger.info(f"Completed 'multiply' activity with result: %s", result)
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block_status = "completed"
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block_error = None
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results[node_id] = result
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except Exception as e:
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logger.error(f"Activity 'multiply' failed with error: {e}")
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result = None
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block_status = "failed"
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block_error = {
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"code": type(e).__name__,
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"description": str(e),
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"details": {"cause": str(getattr(e, "cause", "No additional details"))}
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}
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workflow_output["status"] = "failed"
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# Collect block output
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workflow_output["blocks"].append({
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"activity_id": node_id,
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"name": block_name,
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"status": block_status,
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"input": input_params,
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"result": result,
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"error": block_error
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})
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task_functions["m3aiq7ixuo6du35h8tr"] = task_m3aiq7ixuo6du35h8tr
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async def task_m3aiqkrv4k1y6654ymr():
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node_id = "m3aiqkrv4k1y6654ymr"
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block_name = "power"
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# Prepare inputs
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input_params: Dict[str, Any] = {}
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try:
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source_data = results.get("2", {})
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jsonpath_expr = jmespath.compile("sum")
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value = jsonpath_expr.search(source_data)
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input_params["product"] = value
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except Exception as e:
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logger.error(f"Error parsing jsonpath 'sum' for parameter 'product' from node '2': {e}")
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input_params["product"] = None
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logger.info(f"Starting 'power' activity on task queue 'blocks_transformer_power_057645be0c' with inputs: %s", input_params)
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try:
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# Convert timeouts and intervals from milliseconds to seconds
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schedule_to_close_timeout_value_ms = 0
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start_to_close_timeout_value_ms = 0
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schedule_to_close_timeout = None if schedule_to_close_timeout_value_ms == 0 else datetime.timedelta(seconds=schedule_to_close_timeout_value_ms / 1000.0)
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start_to_close_timeout = None if start_to_close_timeout_value_ms == 0 else datetime.timedelta(seconds=start_to_close_timeout_value_ms / 1000.0)
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initial_interval_value_ms = 1000
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maximum_interval_value_ms = 100000
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initial_interval = datetime.timedelta(seconds=initial_interval_value_ms / 1000.0)
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maximum_interval = datetime.timedelta(seconds=maximum_interval_value_ms / 1000.0)
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maximum_attempts_value = 0
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maximum_attempts = None if maximum_attempts_value == 0 else maximum_attempts_value
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result = await temporalio.workflow.execute_activity(
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"block_main_activity",
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input_params,
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schedule_to_close_timeout=schedule_to_close_timeout,
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start_to_close_timeout=start_to_close_timeout,
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task_queue="blocks_transformer_power_057645be0c",
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retry_policy=temporalio.common.RetryPolicy(
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maximum_attempts=maximum_attempts,
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initial_interval=initial_interval,
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backoff_coefficient=2,
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maximum_interval=maximum_interval
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)
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)
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logger.info(f"Completed 'power' activity with result: %s", result)
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block_status = "completed"
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block_error = None
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results[node_id] = result
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except Exception as e:
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logger.error(f"Activity 'power' failed with error: {e}")
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result = None
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block_status = "failed"
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block_error = {
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"code": type(e).__name__,
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"description": str(e),
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"details": {"cause": str(getattr(e, "cause", "No additional details"))}
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}
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workflow_output["status"] = "failed"
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# Collect block output
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workflow_output["blocks"].append({
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"activity_id": node_id,
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"name": block_name,
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"status": block_status,
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"input": input_params,
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"result": result,
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"error": block_error
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})
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task_functions["m3aiqkrv4k1y6654ymr"] = task_m3aiqkrv4k1y6654ymr
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# Execute tasks according to execution steps
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# Execution step 1
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tasks = [task_functions[node_id]() for node_id in ['2']]
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results_step = await asyncio.gather(*tasks, return_exceptions=True)
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for result in results_step:
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if isinstance(result, Exception):
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logger.error(f"Task failed with exception: {result}")
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workflow_output["status"] = "failed"
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# Execution step 2
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tasks = [task_functions[node_id]() for node_id in ['m3aiq7ixuo6du35h8tr', 'm3aiqkrv4k1y6654ymr']]
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results_step = await asyncio.gather(*tasks, return_exceptions=True)
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for result in results_step:
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if isinstance(result, Exception):
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logger.error(f"Task failed with exception: {result}")
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workflow_output["status"] = "failed"
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# Update workflow status to completed if not failed
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if workflow_output["status"] != "failed":
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workflow_output["status"] = "completed"
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else:
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raise ApplicationError("Activity error occurred", type="ActivityError", non_retryable=True)
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return workflow_output
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except Exception as e:
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logger.error(f"Workflow failed with error: {e}")
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workflow_output["status"] = "failed"
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raise temporalio.exceptions.ApplicationError("Workflow failed",workflow_output,str(e),type="WorkflowError",non_retryable=True) from e |