SIENTIAPDE-1030
Add comprehensive tests and utility functions for orchestrator activities - Introduced tests for the new Formatters class, covering methods for processing schedules and slots. - Enhanced SlotManager tests with update and delete slot functionalities. - Added TemporalManager tests for creating, updating, and deleting schedules, including frequency parsing. - Implemented utility functions for orchestrator operations, including frequency parsing and tag configuration building. - Created tests for utility functions to ensure correct behavior and integration with orchestrator activities. - Established a new converters module for parsing frequency strings into seconds.
This commit is contained in:
vitor-aignosi
501
test.ipynb
501
test.ipynb
@@ -136,19 +136,33 @@
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},
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{
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"cell_type": "code",
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"execution_count": 81,
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"execution_count": 2,
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"id": "bb750ae6",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<temporalio.client.ScheduleHandle at 0x76f314e5df90>"
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]
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},
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"execution_count": 81,
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"metadata": {},
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"output_type": "execute_result"
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"ename": "ScheduleAlreadyRunningError",
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"evalue": "Schedule already running",
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"output_type": "error",
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"traceback": [
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"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
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"\u001b[31mRPCError\u001b[39m Traceback (most recent call last)",
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"\u001b[36mFile \u001b[39m\u001b[32m~/Documents/projects/sientia/sientia-dataops-orchestrator_temporal/venv/lib/python3.11/site-packages/temporalio/service.py:1243\u001b[39m, in \u001b[36m_BridgeServiceClient._rpc_call\u001b[39m\u001b[34m(self, rpc, req, resp_type, service, retry, metadata, timeout)\u001b[39m\n\u001b[32m 1242\u001b[39m client = \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m._connected_client()\n\u001b[32m-> \u001b[39m\u001b[32m1243\u001b[39m resp = \u001b[38;5;28;01mawait\u001b[39;00m client.call(\n\u001b[32m 1244\u001b[39m service=service,\n\u001b[32m 1245\u001b[39m rpc=rpc,\n\u001b[32m 1246\u001b[39m req=req,\n\u001b[32m 1247\u001b[39m resp_type=resp_type,\n\u001b[32m 1248\u001b[39m retry=retry,\n\u001b[32m 1249\u001b[39m metadata=metadata,\n\u001b[32m 1250\u001b[39m timeout=timeout,\n\u001b[32m 1251\u001b[39m )\n\u001b[32m 1252\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m LOG_PROTOS:\n",
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"\u001b[36mFile \u001b[39m\u001b[32m~/Documents/projects/sientia/sientia-dataops-orchestrator_temporal/venv/lib/python3.11/site-packages/temporalio/bridge/client.py:151\u001b[39m, in \u001b[36mClient.call\u001b[39m\u001b[34m(self, service, rpc, req, resp_type, retry, metadata, timeout)\u001b[39m\n\u001b[32m 150\u001b[39m resp = resp_type()\n\u001b[32m--> \u001b[39m\u001b[32m151\u001b[39m resp.ParseFromString(\u001b[38;5;28;01mawait\u001b[39;00m resp_fut)\n\u001b[32m 152\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m resp\n",
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"\u001b[31mRPCError\u001b[39m: (6, 'Workflow execution is already running. WorkflowId: temporal-sys-scheduler:meu-schedule-id5, RunId: 01971d9e-b19b-7e25-8f60-ba4ed95e12e4.', b'\\x08\\x06\\x12\\x88\\x01Workflow execution is already running. WorkflowId: temporal-sys-scheduler:meu-schedule-id5, RunId: 01971d9e-b19b-7e25-8f60-ba4ed95e12e4.\\x1a\\xa7\\x01\\nWtype.googleapis.com/temporal.api.errordetails.v1.WorkflowExecutionAlreadyStartedFailure\\x12L\\n$6ae80236-ccbf-45b5-8282-1ef14a559b59\\x12$01971d9e-b19b-7e25-8f60-ba4ed95e12e4')",
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"\nDuring handling of the above exception, another exception occurred:\n",
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"\u001b[31mRPCError\u001b[39m Traceback (most recent call last)",
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"\u001b[36mFile \u001b[39m\u001b[32m~/Documents/projects/sientia/sientia-dataops-orchestrator_temporal/venv/lib/python3.11/site-packages/temporalio/client.py:6430\u001b[39m, in \u001b[36m_ClientImpl.create_schedule\u001b[39m\u001b[34m(self, input)\u001b[39m\n\u001b[32m 6427\u001b[39m temporalio.converter.encode_search_attributes(\n\u001b[32m 6428\u001b[39m \u001b[38;5;28minput\u001b[39m.search_attributes, request.search_attributes\n\u001b[32m 6429\u001b[39m )\n\u001b[32m-> \u001b[39m\u001b[32m6430\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m._client.workflow_service.create_schedule(\n\u001b[32m 6431\u001b[39m request,\n\u001b[32m 6432\u001b[39m retry=\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[32m 6433\u001b[39m metadata=\u001b[38;5;28minput\u001b[39m.rpc_metadata,\n\u001b[32m 6434\u001b[39m timeout=\u001b[38;5;28minput\u001b[39m.rpc_timeout,\n\u001b[32m 6435\u001b[39m )\n\u001b[32m 6436\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m RPCError \u001b[38;5;28;01mas\u001b[39;00m err:\n",
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"\u001b[36mFile \u001b[39m\u001b[32m~/Documents/projects/sientia/sientia-dataops-orchestrator_temporal/venv/lib/python3.11/site-packages/temporalio/service.py:1170\u001b[39m, in \u001b[36mServiceCall.__call__\u001b[39m\u001b[34m(self, req, retry, metadata, timeout)\u001b[39m\n\u001b[32m 1155\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Invoke underlying client with the given request.\u001b[39;00m\n\u001b[32m 1156\u001b[39m \n\u001b[32m 1157\u001b[39m \u001b[33;03mArgs:\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 1168\u001b[39m \u001b[33;03m RPCError: Any RPC error that occurs during the call.\u001b[39;00m\n\u001b[32m 1169\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m1170\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m.service_client._rpc_call(\n\u001b[32m 1171\u001b[39m \u001b[38;5;28mself\u001b[39m.name,\n\u001b[32m 1172\u001b[39m req,\n\u001b[32m 1173\u001b[39m \u001b[38;5;28mself\u001b[39m.resp_type,\n\u001b[32m 1174\u001b[39m service=\u001b[38;5;28mself\u001b[39m.service,\n\u001b[32m 1175\u001b[39m retry=retry,\n\u001b[32m 1176\u001b[39m metadata=metadata,\n\u001b[32m 1177\u001b[39m timeout=timeout,\n\u001b[32m 1178\u001b[39m )\n",
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"\u001b[36mFile \u001b[39m\u001b[32m~/Documents/projects/sientia/sientia-dataops-orchestrator_temporal/venv/lib/python3.11/site-packages/temporalio/service.py:1258\u001b[39m, in \u001b[36m_BridgeServiceClient._rpc_call\u001b[39m\u001b[34m(self, rpc, req, resp_type, service, retry, metadata, timeout)\u001b[39m\n\u001b[32m 1257\u001b[39m status, message, details = err.args\n\u001b[32m-> \u001b[39m\u001b[32m1258\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m RPCError(message, RPCStatusCode(status), details)\n",
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"\u001b[31mRPCError\u001b[39m: Workflow execution is already running. WorkflowId: temporal-sys-scheduler:meu-schedule-id5, RunId: 01971d9e-b19b-7e25-8f60-ba4ed95e12e4.",
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"\nDuring handling of the above exception, another exception occurred:\n",
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"\u001b[31mScheduleAlreadyRunningError\u001b[39m Traceback (most recent call last)",
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"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 17\u001b[39m\n\u001b[32m 13\u001b[39m customer_id_key = SearchAttributeKey.for_keyword(\u001b[33m\"\u001b[39m\u001b[33mOrchestrated\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 14\u001b[39m search_attributes = TypedSearchAttributes([\n\u001b[32m 15\u001b[39m SearchAttributePair(customer_id_key, \u001b[33m\"\u001b[39m\u001b[33mtrue\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 16\u001b[39m ])\n\u001b[32m---> \u001b[39m\u001b[32m17\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m temporal_client.create_schedule(\n\u001b[32m 18\u001b[39m \u001b[33m\"\u001b[39m\u001b[33mmeu-schedule-id5\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 19\u001b[39m Schedule(\n\u001b[32m 20\u001b[39m action=ScheduleActionStartWorkflow(\n\u001b[32m 21\u001b[39m \u001b[33m'\u001b[39m\u001b[33mscouter-test2\u001b[39m\u001b[33m'\u001b[39m,\n\u001b[32m 22\u001b[39m {\n\u001b[32m 23\u001b[39m \u001b[33m'\u001b[39m\u001b[33margs\u001b[39m\u001b[33m'\u001b[39m: {\n\u001b[32m 24\u001b[39m \u001b[33m'\u001b[39m\u001b[33marg1\u001b[39m\u001b[33m'\u001b[39m: \u001b[33m'\u001b[39m\u001b[33mvalue1\u001b[39m\u001b[33m'\u001b[39m\n\u001b[32m 25\u001b[39m }\n\u001b[32m 26\u001b[39m },\n\u001b[32m 27\u001b[39m \u001b[38;5;28mid\u001b[39m=\u001b[33m\"\u001b[39m\u001b[33mworkflow-id-unico\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 28\u001b[39m task_queue=\u001b[33m\"\u001b[39m\u001b[33mnome-da-task-queue\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 29\u001b[39m ),\n\u001b[32m 30\u001b[39m spec=ScheduleSpec(\n\u001b[32m 31\u001b[39m intervals=[ScheduleIntervalSpec(every=timedelta(minutes=\u001b[32m10\u001b[39m))]\n\u001b[32m 32\u001b[39m )\n\u001b[32m 33\u001b[39m ),\n\u001b[32m 34\u001b[39m search_attributes=search_attributes,\n\u001b[32m 35\u001b[39m )\n",
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"\u001b[36mFile \u001b[39m\u001b[32m~/Documents/projects/sientia/sientia-dataops-orchestrator_temporal/venv/lib/python3.11/site-packages/temporalio/client.py:1308\u001b[39m, in \u001b[36mClient.create_schedule\u001b[39m\u001b[34m(self, id, schedule, trigger_immediately, backfill, memo, search_attributes, static_summary, static_details, rpc_metadata, rpc_timeout)\u001b[39m\n\u001b[32m 1275\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Create a schedule and return its handle.\u001b[39;00m\n\u001b[32m 1276\u001b[39m \n\u001b[32m 1277\u001b[39m \u001b[33;03mArgs:\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 1305\u001b[39m \u001b[33;03m running.\u001b[39;00m\n\u001b[32m 1306\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 1307\u001b[39m temporalio.common._warn_on_deprecated_search_attributes(search_attributes)\n\u001b[32m-> \u001b[39m\u001b[32m1308\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m._impl.create_schedule(\n\u001b[32m 1309\u001b[39m CreateScheduleInput(\n\u001b[32m 1310\u001b[39m \u001b[38;5;28mid\u001b[39m=\u001b[38;5;28mid\u001b[39m,\n\u001b[32m 1311\u001b[39m schedule=schedule,\n\u001b[32m 1312\u001b[39m trigger_immediately=trigger_immediately,\n\u001b[32m 1313\u001b[39m backfill=backfill,\n\u001b[32m 1314\u001b[39m memo=memo,\n\u001b[32m 1315\u001b[39m search_attributes=search_attributes,\n\u001b[32m 1316\u001b[39m rpc_metadata=rpc_metadata,\n\u001b[32m 1317\u001b[39m rpc_timeout=rpc_timeout,\n\u001b[32m 1318\u001b[39m )\n\u001b[32m 1319\u001b[39m )\n",
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"\u001b[36mFile \u001b[39m\u001b[32m~/Documents/projects/sientia/sientia-dataops-orchestrator_temporal/venv/lib/python3.11/site-packages/temporalio/client.py:6445\u001b[39m, in \u001b[36m_ClientImpl.create_schedule\u001b[39m\u001b[34m(self, input)\u001b[39m\n\u001b[32m 6437\u001b[39m already_started = (\n\u001b[32m 6438\u001b[39m err.status == RPCStatusCode.ALREADY_EXISTS\n\u001b[32m 6439\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m err.grpc_status.details\n\u001b[32m (...)\u001b[39m\u001b[32m 6442\u001b[39m )\n\u001b[32m 6443\u001b[39m )\n\u001b[32m 6444\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m already_started:\n\u001b[32m-> \u001b[39m\u001b[32m6445\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m ScheduleAlreadyRunningError()\n\u001b[32m 6446\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m\n\u001b[32m 6447\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m ScheduleHandle(\u001b[38;5;28mself\u001b[39m._client, \u001b[38;5;28minput\u001b[39m.id)\n",
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"\u001b[31mScheduleAlreadyRunningError\u001b[39m: Schedule already running"
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]
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}
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],
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"source": [
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@@ -191,7 +205,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 86,
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"execution_count": 2,
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"id": "1bd82225",
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"metadata": {},
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"outputs": [
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@@ -200,474 +214,13 @@
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"output_type": "stream",
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"text": [
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"Getting orchestrated schedules...\n",
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"Schedule: %s ScheduleListDescription(id='meu-schedule-id5', schedule=ScheduleListSchedule(action=ScheduleListActionStartWorkflow(workflow='scouter-test2'), spec=ScheduleSpec(calendars=[], intervals=[ScheduleIntervalSpec(every=datetime.timedelta(seconds=600), offset=None)], cron_expressions=[], skip=[], start_at=None, end_at=None, jitter=None, time_zone_name=None), state=ScheduleListState(note=None, paused=False)), info=ScheduleListInfo(recent_actions=[], next_action_times=[datetime.datetime(2025, 5, 29, 20, 0, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 10, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 20, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 30, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 40, tzinfo=datetime.timezone.utc)]), typed_search_attributes=TypedSearchAttributes(search_attributes=[SearchAttributePair(key=_SearchAttributeKey(_name='Orchestrated', _indexed_value_type=<SearchAttributeIndexedValueType.TEXT: 1>, _value_type=<class 'str'>), value='true')]), search_attributes={'Orchestrated': ['true']}, data_converter=DataConverter(payload_converter_class=<class 'temporalio.converter.DefaultPayloadConverter'>, payload_codec=None, failure_converter_class=<class 'temporalio.converter.DefaultFailureConverter'>, payload_converter=<temporalio.converter.DefaultPayloadConverter object at 0x76f32ca5cf50>, failure_converter=<temporalio.converter.DefaultFailureConverter object at 0x76f32ca5cf90>), raw_entry=schedule_id: \"meu-schedule-id5\"\n",
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"search_attributes {\n",
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" indexed_fields {\n",
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" key: \"Orchestrated\"\n",
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" value {\n",
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" metadata {\n",
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" key: \"type\"\n",
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" value: \"Text\"\n",
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" }\n",
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" metadata {\n",
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" key: \"encoding\"\n",
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" value: \"json/plain\"\n",
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" }\n",
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" data: \"\\\"true\\\"\"\n",
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" }\n",
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" }\n",
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"}\n",
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"info {\n",
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" spec {\n",
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" interval {\n",
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" interval {\n",
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" seconds: 600\n",
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" }\n",
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" }\n",
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" }\n",
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" workflow_type {\n",
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" name: \"scouter-test2\"\n",
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" }\n",
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" future_action_times {\n",
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" seconds: 1748548800\n",
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" }\n",
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" future_action_times {\n",
|
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" seconds: 1748549400\n",
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" }\n",
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" future_action_times {\n",
|
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" seconds: 1748550000\n",
|
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" }\n",
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" future_action_times {\n",
|
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" seconds: 1748550600\n",
|
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" }\n",
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" future_action_times {\n",
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" seconds: 1748551200\n",
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" }\n",
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"}\n",
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")\n",
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"Search attributes: %s {'Orchestrated': ['true']}\n",
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"Schedule: %s ScheduleListDescription(id='meu-schedule-id4', schedule=ScheduleListSchedule(action=ScheduleListActionStartWorkflow(workflow='scouter-test2'), spec=ScheduleSpec(calendars=[], intervals=[ScheduleIntervalSpec(every=datetime.timedelta(seconds=600), offset=None)], cron_expressions=[], skip=[], start_at=None, end_at=None, jitter=None, time_zone_name=None), state=ScheduleListState(note=None, paused=False)), info=ScheduleListInfo(recent_actions=[], next_action_times=[datetime.datetime(2025, 5, 29, 20, 0, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 10, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 20, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 30, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 40, tzinfo=datetime.timezone.utc)]), typed_search_attributes=TypedSearchAttributes(search_attributes=[SearchAttributePair(key=_SearchAttributeKey(_name='Orchestrated', _indexed_value_type=<SearchAttributeIndexedValueType.TEXT: 1>, _value_type=<class 'str'>), value='true')]), search_attributes={'Orchestrated': ['true']}, data_converter=DataConverter(payload_converter_class=<class 'temporalio.converter.DefaultPayloadConverter'>, payload_codec=None, failure_converter_class=<class 'temporalio.converter.DefaultFailureConverter'>, payload_converter=<temporalio.converter.DefaultPayloadConverter object at 0x76f32ca5cf50>, failure_converter=<temporalio.converter.DefaultFailureConverter object at 0x76f32ca5cf90>), raw_entry=schedule_id: \"meu-schedule-id4\"\n",
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"search_attributes {\n",
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" indexed_fields {\n",
|
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" key: \"Orchestrated\"\n",
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" value {\n",
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" metadata {\n",
|
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" key: \"type\"\n",
|
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" value: \"Text\"\n",
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" }\n",
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" metadata {\n",
|
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" key: \"encoding\"\n",
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" value: \"json/plain\"\n",
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" }\n",
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" data: \"\\\"true\\\"\"\n",
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" }\n",
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" }\n",
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"}\n",
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"info {\n",
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" spec {\n",
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" interval {\n",
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" interval {\n",
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" seconds: 600\n",
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" }\n",
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" }\n",
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" }\n",
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" workflow_type {\n",
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" name: \"scouter-test2\"\n",
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" }\n",
|
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" future_action_times {\n",
|
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" seconds: 1748548800\n",
|
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" }\n",
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" future_action_times {\n",
|
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" seconds: 1748549400\n",
|
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" }\n",
|
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" future_action_times {\n",
|
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" seconds: 1748550000\n",
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" }\n",
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" future_action_times {\n",
|
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" seconds: 1748550600\n",
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" }\n",
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" future_action_times {\n",
|
||||
" seconds: 1748551200\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
")\n",
|
||||
"Search attributes: %s {'Orchestrated': ['true']}\n",
|
||||
"Schedule: %s ScheduleListDescription(id='meu-schedule-id3', schedule=ScheduleListSchedule(action=ScheduleListActionStartWorkflow(workflow='scouter-test2'), spec=ScheduleSpec(calendars=[], intervals=[ScheduleIntervalSpec(every=datetime.timedelta(seconds=600), offset=None)], cron_expressions=[], skip=[], start_at=None, end_at=None, jitter=None, time_zone_name=None), state=ScheduleListState(note=None, paused=False)), info=ScheduleListInfo(recent_actions=[], next_action_times=[datetime.datetime(2025, 5, 29, 20, 0, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 10, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 20, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 30, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 40, tzinfo=datetime.timezone.utc)]), typed_search_attributes=TypedSearchAttributes(search_attributes=[SearchAttributePair(key=_SearchAttributeKey(_name='Orchestrated', _indexed_value_type=<SearchAttributeIndexedValueType.TEXT: 1>, _value_type=<class 'str'>), value='true')]), search_attributes={'Orchestrated': ['true']}, data_converter=DataConverter(payload_converter_class=<class 'temporalio.converter.DefaultPayloadConverter'>, payload_codec=None, failure_converter_class=<class 'temporalio.converter.DefaultFailureConverter'>, payload_converter=<temporalio.converter.DefaultPayloadConverter object at 0x76f32ca5cf50>, failure_converter=<temporalio.converter.DefaultFailureConverter object at 0x76f32ca5cf90>), raw_entry=schedule_id: \"meu-schedule-id3\"\n",
|
||||
"search_attributes {\n",
|
||||
" indexed_fields {\n",
|
||||
" key: \"Orchestrated\"\n",
|
||||
" value {\n",
|
||||
" metadata {\n",
|
||||
" key: \"type\"\n",
|
||||
" value: \"Text\"\n",
|
||||
" }\n",
|
||||
" metadata {\n",
|
||||
" key: \"encoding\"\n",
|
||||
" value: \"json/plain\"\n",
|
||||
" }\n",
|
||||
" data: \"\\\"true\\\"\"\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
"info {\n",
|
||||
" spec {\n",
|
||||
" interval {\n",
|
||||
" interval {\n",
|
||||
" seconds: 600\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" workflow_type {\n",
|
||||
" name: \"scouter-test2\"\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548800\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748549400\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550000\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550600\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748551200\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
")\n",
|
||||
"Search attributes: %s {'Orchestrated': ['true']}\n",
|
||||
"Schedule: %s ScheduleListDescription(id='meu-schedule-id2', schedule=ScheduleListSchedule(action=ScheduleListActionStartWorkflow(workflow='scouter-test2'), spec=ScheduleSpec(calendars=[], intervals=[ScheduleIntervalSpec(every=datetime.timedelta(seconds=600), offset=None)], cron_expressions=[], skip=[], start_at=None, end_at=None, jitter=None, time_zone_name=None), state=ScheduleListState(note=None, paused=False)), info=ScheduleListInfo(recent_actions=[ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 50, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 50, 0, 37623, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='workflow-id-unico-2025-05-29T19:50:00Z', first_execution_run_id='01971d98-265a-7285-b46f-cf09bcf2d301'))], next_action_times=[datetime.datetime(2025, 5, 29, 20, 0, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 10, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 20, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 30, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 40, tzinfo=datetime.timezone.utc)]), typed_search_attributes=TypedSearchAttributes(search_attributes=[SearchAttributePair(key=_SearchAttributeKey(_name='Orchestrated', _indexed_value_type=<SearchAttributeIndexedValueType.TEXT: 1>, _value_type=<class 'str'>), value='true')]), search_attributes={'Orchestrated': ['true']}, data_converter=DataConverter(payload_converter_class=<class 'temporalio.converter.DefaultPayloadConverter'>, payload_codec=None, failure_converter_class=<class 'temporalio.converter.DefaultFailureConverter'>, payload_converter=<temporalio.converter.DefaultPayloadConverter object at 0x76f32ca5cf50>, failure_converter=<temporalio.converter.DefaultFailureConverter object at 0x76f32ca5cf90>), raw_entry=schedule_id: \"meu-schedule-id2\"\n",
|
||||
"search_attributes {\n",
|
||||
" indexed_fields {\n",
|
||||
" key: \"Orchestrated\"\n",
|
||||
" value {\n",
|
||||
" metadata {\n",
|
||||
" key: \"type\"\n",
|
||||
" value: \"Text\"\n",
|
||||
" }\n",
|
||||
" metadata {\n",
|
||||
" key: \"encoding\"\n",
|
||||
" value: \"json/plain\"\n",
|
||||
" }\n",
|
||||
" data: \"\\\"true\\\"\"\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
"info {\n",
|
||||
" spec {\n",
|
||||
" interval {\n",
|
||||
" interval {\n",
|
||||
" seconds: 600\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" workflow_type {\n",
|
||||
" name: \"scouter-test2\"\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548200\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548200\n",
|
||||
" nanos: 37623285\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"workflow-id-unico-2025-05-29T19:50:00Z\"\n",
|
||||
" run_id: \"01971d98-265a-7285-b46f-cf09bcf2d301\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_RUNNING\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548800\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748549400\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550000\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550600\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748551200\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
")\n",
|
||||
"Search attributes: %s {'Orchestrated': ['true']}\n",
|
||||
"Schedule: %s ScheduleListDescription(id='meu-schedule-id', schedule=ScheduleListSchedule(action=ScheduleListActionStartWorkflow(workflow='scouter-test'), spec=ScheduleSpec(calendars=[], intervals=[ScheduleIntervalSpec(every=datetime.timedelta(seconds=600), offset=None)], cron_expressions=[], skip=[], start_at=None, end_at=None, jitter=None, time_zone_name=None), state=ScheduleListState(note=None, paused=False)), info=ScheduleListInfo(recent_actions=[ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 0, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 0, 0, 37788, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='workflow-id-unico-2025-05-29T19:00:00Z', first_execution_run_id='01971d6a-5fa1-70f8-8371-60ad11587b77'))], next_action_times=[datetime.datetime(2025, 5, 29, 20, 0, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 10, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 20, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 30, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 40, tzinfo=datetime.timezone.utc)]), typed_search_attributes=TypedSearchAttributes(search_attributes=[SearchAttributePair(key=_SearchAttributeKey(_name='Orchestrated', _indexed_value_type=<SearchAttributeIndexedValueType.TEXT: 1>, _value_type=<class 'str'>), value='true')]), search_attributes={'Orchestrated': ['true']}, data_converter=DataConverter(payload_converter_class=<class 'temporalio.converter.DefaultPayloadConverter'>, payload_codec=None, failure_converter_class=<class 'temporalio.converter.DefaultFailureConverter'>, payload_converter=<temporalio.converter.DefaultPayloadConverter object at 0x76f32ca5cf50>, failure_converter=<temporalio.converter.DefaultFailureConverter object at 0x76f32ca5cf90>), raw_entry=schedule_id: \"meu-schedule-id\"\n",
|
||||
"search_attributes {\n",
|
||||
" indexed_fields {\n",
|
||||
" key: \"Orchestrated\"\n",
|
||||
" value {\n",
|
||||
" metadata {\n",
|
||||
" key: \"type\"\n",
|
||||
" value: \"Text\"\n",
|
||||
" }\n",
|
||||
" metadata {\n",
|
||||
" key: \"encoding\"\n",
|
||||
" value: \"json/plain\"\n",
|
||||
" }\n",
|
||||
" data: \"\\\"true\\\"\"\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
"info {\n",
|
||||
" spec {\n",
|
||||
" interval {\n",
|
||||
" interval {\n",
|
||||
" seconds: 600\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" workflow_type {\n",
|
||||
" name: \"scouter-test\"\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748545200\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748545200\n",
|
||||
" nanos: 37788631\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"workflow-id-unico-2025-05-29T19:00:00Z\"\n",
|
||||
" run_id: \"01971d6a-5fa1-70f8-8371-60ad11587b77\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_RUNNING\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548800\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748549400\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550000\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748550600\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748551200\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
")\n",
|
||||
"Search attributes: %s {'Orchestrated': ['true']}\n",
|
||||
"Schedule: %s ScheduleListDescription(id='laborious_test', schedule=ScheduleListSchedule(action=ScheduleListActionStartWorkflow(workflow='predictions_batch'), spec=ScheduleSpec(calendars=[], intervals=[ScheduleIntervalSpec(every=datetime.timedelta(seconds=60), offset=datetime.timedelta(0))], cron_expressions=[], skip=[], start_at=None, end_at=None, jitter=None, time_zone_name=None), state=ScheduleListState(note=None, paused=False)), info=ScheduleListInfo(recent_actions=[ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 53, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 53, 0, 35750, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='laborious_test-2025-05-29T19:53:00Z', first_execution_run_id='01971d9a-e57f-700b-953b-bdb3b05810e2')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 54, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 54, 0, 35780, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='laborious_test-2025-05-29T19:54:00Z', first_execution_run_id='01971d9b-cfde-7f39-8b38-b7e62fee1f82')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 55, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 55, 0, 34329, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='laborious_test-2025-05-29T19:55:00Z', first_execution_run_id='01971d9c-ba3c-7d27-9db7-72759ebabc76')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 56, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 56, 0, 49214, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='laborious_test-2025-05-29T19:56:00Z', first_execution_run_id='01971d9d-a4a9-7b55-a77b-fd450e768ccf')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 57, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 57, 0, 36109, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='laborious_test-2025-05-29T19:57:00Z', first_execution_run_id='01971d9e-8eff-7608-9b10-0ed1875df9fe'))], next_action_times=[datetime.datetime(2025, 5, 29, 19, 58, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 19, 59, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 0, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 1, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 20, 2, tzinfo=datetime.timezone.utc)]), typed_search_attributes=TypedSearchAttributes(search_attributes=[]), search_attributes={}, data_converter=DataConverter(payload_converter_class=<class 'temporalio.converter.DefaultPayloadConverter'>, payload_codec=None, failure_converter_class=<class 'temporalio.converter.DefaultFailureConverter'>, payload_converter=<temporalio.converter.DefaultPayloadConverter object at 0x76f32ca5cf50>, failure_converter=<temporalio.converter.DefaultFailureConverter object at 0x76f32ca5cf90>), raw_entry=schedule_id: \"laborious_test\"\n",
|
||||
"info {\n",
|
||||
" spec {\n",
|
||||
" interval {\n",
|
||||
" interval {\n",
|
||||
" seconds: 60\n",
|
||||
" }\n",
|
||||
" phase {\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" workflow_type {\n",
|
||||
" name: \"predictions_batch\"\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548380\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548380\n",
|
||||
" nanos: 35750962\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"laborious_test-2025-05-29T19:53:00Z\"\n",
|
||||
" run_id: \"01971d9a-e57f-700b-953b-bdb3b05810e2\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548440\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548440\n",
|
||||
" nanos: 35780414\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"laborious_test-2025-05-29T19:54:00Z\"\n",
|
||||
" run_id: \"01971d9b-cfde-7f39-8b38-b7e62fee1f82\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548500\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548500\n",
|
||||
" nanos: 34329717\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"laborious_test-2025-05-29T19:55:00Z\"\n",
|
||||
" run_id: \"01971d9c-ba3c-7d27-9db7-72759ebabc76\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548560\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548560\n",
|
||||
" nanos: 49214684\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"laborious_test-2025-05-29T19:56:00Z\"\n",
|
||||
" run_id: \"01971d9d-a4a9-7b55-a77b-fd450e768ccf\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548620\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548620\n",
|
||||
" nanos: 36109875\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"laborious_test-2025-05-29T19:57:00Z\"\n",
|
||||
" run_id: \"01971d9e-8eff-7608-9b10-0ed1875df9fe\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_RUNNING\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548680\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548740\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548800\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548860\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548920\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
")\n",
|
||||
"Search attributes: %s {}\n",
|
||||
"Schedule: %s ScheduleListDescription(id='scouter-opcua-pipeline', schedule=ScheduleListSchedule(action=ScheduleListActionStartWorkflow(workflow='scouter'), spec=ScheduleSpec(calendars=[], intervals=[ScheduleIntervalSpec(every=datetime.timedelta(seconds=30), offset=datetime.timedelta(0))], cron_expressions=[], skip=[], start_at=None, end_at=None, jitter=None, time_zone_name=None), state=ScheduleListState(note=None, paused=False)), info=ScheduleListInfo(recent_actions=[ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 55, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 55, 0, 26130, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='scouter-opcua-pipeline-2025-05-29T19:55:00Z', first_execution_run_id='01971d9c-ba35-7b2a-b596-effe9939c7c7')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 55, 30, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 55, 30, 26550, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='scouter-opcua-pipeline-2025-05-29T19:55:30Z', first_execution_run_id='01971d9d-2f66-7012-bd77-e5809b8c4c7a')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 56, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 56, 0, 39848, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='scouter-opcua-pipeline-2025-05-29T19:56:00Z', first_execution_run_id='01971d9d-a4a1-7ba9-9205-21f157fe6e54')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 56, 30, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 56, 30, 39791, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='scouter-opcua-pipeline-2025-05-29T19:56:30Z', first_execution_run_id='01971d9e-19d2-7358-96d3-261e203faaa7')), ScheduleActionResult(scheduled_at=datetime.datetime(2025, 5, 29, 19, 57, tzinfo=datetime.timezone.utc), started_at=datetime.datetime(2025, 5, 29, 19, 57, 0, 28221, tzinfo=datetime.timezone.utc), action=ScheduleActionExecutionStartWorkflow(workflow_id='scouter-opcua-pipeline-2025-05-29T19:57:00Z', first_execution_run_id='01971d9e-8ef8-72af-a903-1391b5e06c2f'))], next_action_times=[datetime.datetime(2025, 5, 29, 19, 57, 30, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 19, 58, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 19, 58, 30, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 19, 59, tzinfo=datetime.timezone.utc), datetime.datetime(2025, 5, 29, 19, 59, 30, tzinfo=datetime.timezone.utc)]), typed_search_attributes=TypedSearchAttributes(search_attributes=[]), search_attributes={}, data_converter=DataConverter(payload_converter_class=<class 'temporalio.converter.DefaultPayloadConverter'>, payload_codec=None, failure_converter_class=<class 'temporalio.converter.DefaultFailureConverter'>, payload_converter=<temporalio.converter.DefaultPayloadConverter object at 0x76f32ca5cf50>, failure_converter=<temporalio.converter.DefaultFailureConverter object at 0x76f32ca5cf90>), raw_entry=schedule_id: \"scouter-opcua-pipeline\"\n",
|
||||
"info {\n",
|
||||
" spec {\n",
|
||||
" interval {\n",
|
||||
" interval {\n",
|
||||
" seconds: 30\n",
|
||||
" }\n",
|
||||
" phase {\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" workflow_type {\n",
|
||||
" name: \"scouter\"\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548500\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548500\n",
|
||||
" nanos: 26130839\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"scouter-opcua-pipeline-2025-05-29T19:55:00Z\"\n",
|
||||
" run_id: \"01971d9c-ba35-7b2a-b596-effe9939c7c7\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548530\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548530\n",
|
||||
" nanos: 26550164\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"scouter-opcua-pipeline-2025-05-29T19:55:30Z\"\n",
|
||||
" run_id: \"01971d9d-2f66-7012-bd77-e5809b8c4c7a\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548560\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548560\n",
|
||||
" nanos: 39848794\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"scouter-opcua-pipeline-2025-05-29T19:56:00Z\"\n",
|
||||
" run_id: \"01971d9d-a4a1-7ba9-9205-21f157fe6e54\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548590\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548590\n",
|
||||
" nanos: 39791709\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"scouter-opcua-pipeline-2025-05-29T19:56:30Z\"\n",
|
||||
" run_id: \"01971d9e-19d2-7358-96d3-261e203faaa7\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_COMPLETED\n",
|
||||
" }\n",
|
||||
" recent_actions {\n",
|
||||
" schedule_time {\n",
|
||||
" seconds: 1748548620\n",
|
||||
" }\n",
|
||||
" actual_time {\n",
|
||||
" seconds: 1748548620\n",
|
||||
" nanos: 28221068\n",
|
||||
" }\n",
|
||||
" start_workflow_result {\n",
|
||||
" workflow_id: \"scouter-opcua-pipeline-2025-05-29T19:57:00Z\"\n",
|
||||
" run_id: \"01971d9e-8ef8-72af-a903-1391b5e06c2f\"\n",
|
||||
" }\n",
|
||||
" start_workflow_status: WORKFLOW_EXECUTION_STATUS_RUNNING\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548650\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548680\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548710\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548740\n",
|
||||
" }\n",
|
||||
" future_action_times {\n",
|
||||
" seconds: 1748548770\n",
|
||||
" }\n",
|
||||
"}\n",
|
||||
")\n",
|
||||
"Search attributes: %s {}\n",
|
||||
"Found %d orchestrated schedules 5\n"
|
||||
"Found %d orchestrated schedules 5\n",
|
||||
"Orchestrated schedules: %s {'meu-schedule-id5': {'frequency': 600, 'data': {'args': {'arg1': 'value1'}}, 'handle': <temporalio.client.ScheduleHandle object at 0x701334390f10>}, 'meu-schedule-id4': {'frequency': 600, 'data': {}, 'handle': <temporalio.client.ScheduleHandle object at 0x7013243d0b10>}, 'meu-schedule-id3': {'frequency': 600, 'data': {}, 'handle': <temporalio.client.ScheduleHandle object at 0x7013243d0a90>}, 'meu-schedule-id2': {'frequency': 600, 'data': {}, 'handle': <temporalio.client.ScheduleHandle object at 0x7013243d0ed0>}, 'meu-schedule-id': {'frequency': 600, 'data': {}, 'handle': <temporalio.client.ScheduleHandle object at 0x7013243d1190>}}\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"schedules = await manager.load_schedule({})"
|
||||
"schedules = await manager.load_schedule()"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
Reference in New Issue
Block a user