fix: update search attribute keys and improve schedule handling
- Changed search attribute key from "Orchestrated" to "orchestrated" in temporal_manager.py and test cases. - Enhanced logging for schedule creation and updates in temporal_manager.py. - Updated schedule creation to use workflow_type directly instead of a hardcoded string. - Modified gather_read_tags function to use server_id instead of server_name for tag identification. - Adjusted test cases to reflect changes in server_id usage and ensure consistency across tests. - Fixed model_name retrieval in common_config to access nested models dictionary. - Updated test cases to align with new data structures and ensure accurate assertions.
This commit is contained in:
111
test.ipynb
111
test.ipynb
@@ -136,33 +136,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 6,
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"id": "bb750ae6",
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"metadata": {},
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"outputs": [
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{
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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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"data": {
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"text/plain": [
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"<temporalio.client.ScheduleHandle at 0x7dfad094e610>"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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@@ -178,7 +164,7 @@
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"from temporalio.common import TypedSearchAttributes, SearchAttributeKey, SearchAttributePair\n",
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"\n",
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"\n",
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"customer_id_key = SearchAttributeKey.for_keyword(\"Orchestrated\")\n",
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"customer_id_key = SearchAttributeKey.for_keyword(\"orchestrated\")\n",
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"search_attributes = TypedSearchAttributes([\n",
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" SearchAttributePair(customer_id_key, \"true\")\n",
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"])\n",
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@@ -213,9 +199,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Getting orchestrated schedules...\n",
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"Found %d orchestrated schedules 5\n",
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"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"
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"Getting orchestrated schedules...\n"
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]
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}
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],
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@@ -225,7 +209,22 @@
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},
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{
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"cell_type": "code",
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"execution_count": 87,
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"execution_count": 24,
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"id": "1948670e",
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"metadata": {},
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"outputs": [],
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"source": [
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"from google.protobuf.json_format import MessageToDict\n",
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"import base64\n",
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"import json\n",
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"for arg in schedules.schedule.action.args:\n",
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" data = MessageToDict(arg)\n",
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" data = base64.b64decode(data['data']).decode('utf-8')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"id": "a4c777dd",
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"metadata": {},
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"outputs": [],
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@@ -234,9 +233,8 @@
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"import base64\n",
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"import json\n",
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"\n",
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"\n",
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"schedules_config = {}\n",
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"for schedule in schedules:\n",
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"async for schedule in await temporal_client.list_schedules():\n",
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" id = schedule.id\n",
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"\n",
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" handle = temporal_client.get_schedule_handle(id)\n",
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@@ -262,42 +260,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": 88,
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"execution_count": 13,
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"id": "988d1718",
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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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"{'meu-schedule-id5': {'frequency': 600,\n",
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" 'data': {'args': {'arg1': 'value1'}},\n",
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" 'handle': <temporalio.client.ScheduleHandle at 0x76f30f5828d0>},\n",
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" 'meu-schedule-id4': {'frequency': 600,\n",
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" 'data': {},\n",
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" 'handle': <temporalio.client.ScheduleHandle at 0x76f30f5cf4d0>},\n",
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" 'meu-schedule-id3': {'frequency': 600,\n",
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" 'data': {},\n",
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" 'handle': <temporalio.client.ScheduleHandle at 0x76f3141f13d0>},\n",
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" 'meu-schedule-id2': {'frequency': 600,\n",
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" 'data': {},\n",
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" 'handle': <temporalio.client.ScheduleHandle at 0x76f30f64c710>},\n",
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" 'meu-schedule-id': {'frequency': 600,\n",
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" 'data': {},\n",
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" 'handle': <temporalio.client.ScheduleHandle at 0x76f31417c350>}}"
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]
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},
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"execution_count": 88,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"schedules_config"
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"schedules_config = {\n",
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" \"scouter-opcua-orchestrated-pipeline\": schedules_config['scouter-opcua-orchestrated-pipeline'],\n",
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"}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 85,
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"execution_count": 14,
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"id": "c12f5e75",
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"metadata": {},
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"outputs": [
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@@ -305,12 +280,14 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"meu-schedule-id5 {'frequency': 600, 'data': {'args': {'arg1': 'value1'}}, 'handle': <temporalio.client.ScheduleHandle object at 0x76f30f5ce590>}\n",
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"meu-schedule-id4 {'frequency': 1200, 'data': {'args': {'arg1': 'value1'}}, 'handle': <temporalio.client.ScheduleHandle object at 0x76f30f723910>}\n",
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"meu-schedule-id4\n",
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"meu-schedule-id3 {'frequency': 600, 'data': {}, 'handle': <temporalio.client.ScheduleHandle object at 0x76f30f64fe50>}\n",
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"meu-schedule-id2 {'frequency': 600, 'data': {}, 'handle': <temporalio.client.ScheduleHandle object at 0x76f31417b9d0>}\n",
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"meu-schedule-id {'frequency': 600, 'data': {}, 'handle': <temporalio.client.ScheduleHandle object at 0x76f30f64dad0>}\n"
|
||||
"scouter-opcua-orchestrated-pipeline {'frequency': 5, 'data': {'filters': {'NULL_VALUES_FILTER': {'policy': 'DISCARD'}, 'OUT_OF_BOUNDS_FILTER': {'policy': 'DISCARD'}}, 'frequency': '5s', 'max_retry_policy': 1, 'model_id': '1', 'model_name': 'Demo Model-Demo2', 'model_tags': {'Counter': {'aggr_func': 'avg', 'data_range': [-100, 100]}}, 'retention_time': 3600, 'schedule_name': 'scouter-opcua-orchestrated-pipeline', 'schema': 'sientia_data', 'table_name': 'laborious_data', 'topic': 'raw_scouter-opcua-orchestrated-pipeline', 'trigger_laborious': False, 'workflow_type': 'scouter'}, 'handle': <temporalio.client.ScheduleHandle object at 0x7dfab3b2ab50>}\n",
|
||||
"scouter-opcua-orchestrated-pipeline\n",
|
||||
"{'workflow': 'scouter', 'args': [metadata {\n",
|
||||
" key: \"encoding\"\n",
|
||||
" value: \"json/plain\"\n",
|
||||
"}\n",
|
||||
"data: \"{\\\"filters\\\":{\\\"NULL_VALUES_FILTER\\\":{\\\"policy\\\":\\\"DISCARD\\\"},\\\"OUT_OF_BOUNDS_FILTER\\\":{\\\"policy\\\":\\\"DISCARD\\\"}},\\\"frequency\\\":\\\"5s\\\",\\\"max_retry_policy\\\":1,\\\"model_id\\\":\\\"1\\\",\\\"model_name\\\":\\\"Demo Model-Demo2\\\",\\\"model_tags\\\":{\\\"Counter\\\":{\\\"aggr_func\\\":\\\"avg\\\",\\\"data_range\\\":[-100,100]}},\\\"retention_time\\\":3600,\\\"schedule_name\\\":\\\"scouter-opcua-orchestrated-pipeline\\\",\\\"schema\\\":\\\"sientia_data\\\",\\\"table_name\\\":\\\"laborious_data\\\",\\\"topic\\\":\\\"raw_scouter-opcua-orchestrated-pipeline\\\",\\\"trigger_laborious\\\":false,\\\"workflow_type\\\":\\\"scouter\\\"}\"\n",
|
||||
"], 'id': 'scouter-opcua-orchestrated-pipeline', 'task_queue': 'scouter-queue', 'execution_timeout': datetime.timedelta(seconds=120), 'run_timeout': None, 'task_timeout': None, 'retry_policy': None, 'memo': None, 'typed_search_attributes': TypedSearchAttributes(search_attributes=[]), 'headers': None, 'untyped_search_attributes': {}, 'static_summary': None, 'static_details': None, 'priority': Priority(priority_key=None)}\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -328,6 +305,8 @@
|
||||
" \n",
|
||||
" async def update_schedule(input: ScheduleUpdateInput) -> ScheduleUpdate:\n",
|
||||
" schedule_action = input.description.schedule.action\n",
|
||||
"\n",
|
||||
" print(schedule_action.__dict__)\n",
|
||||
" \n",
|
||||
" if hasattr(schedule_action, 'args'):\n",
|
||||
" schedule_action.args = [{}]\n",
|
||||
@@ -421,7 +400,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.12"
|
||||
"version": "3.11.13"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
Reference in New Issue
Block a user