Update test.ipynb to generate and save multiple pipeline specifications and input samples in JSON format. Modify values.yaml to increase replica count from 1 to 3 and adjust PostgreSQL max connections from 20 to 40 for improved scalability.
1568 lines
32 KiB
JSON
1568 lines
32 KiB
JSON
[
|
|
{
|
|
"id": 2,
|
|
"schedule_name": "scouter-opcua-pipeline-2",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
"frequency": "30s",
|
|
"max_retry_policy": 1,
|
|
"read_tags": [
|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Rollout",
|
|
"server_id": "1",
|
|
"aggr_func": "mdn",
|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Square",
|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
},
|
|
{
|
|
"id": 3,
|
|
"schedule_name": "scouter-opcua-pipeline-3",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
"frequency": "30s",
|
|
"max_retry_policy": 1,
|
|
"read_tags": [
|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Rollout",
|
|
"server_id": "1",
|
|
"aggr_func": "mdn",
|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Square",
|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
},
|
|
{
|
|
"id": 4,
|
|
"schedule_name": "scouter-opcua-pipeline-4",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
"frequency": "30s",
|
|
"max_retry_policy": 1,
|
|
"read_tags": [
|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Rollout",
|
|
"server_id": "1",
|
|
"aggr_func": "mdn",
|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Square",
|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
},
|
|
{
|
|
"id": 5,
|
|
"schedule_name": "scouter-opcua-pipeline-5",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
"frequency": "30s",
|
|
"max_retry_policy": 1,
|
|
"read_tags": [
|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Rollout",
|
|
"server_id": "1",
|
|
"aggr_func": "mdn",
|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Square",
|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
},
|
|
{
|
|
"id": 6,
|
|
"schedule_name": "scouter-opcua-pipeline-6",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
"frequency": "30s",
|
|
"max_retry_policy": 1,
|
|
"read_tags": [
|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Rollout",
|
|
"server_id": "1",
|
|
"aggr_func": "mdn",
|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Square",
|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
},
|
|
{
|
|
"id": 7,
|
|
"schedule_name": "scouter-opcua-pipeline-7",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
"frequency": "30s",
|
|
"max_retry_policy": 1,
|
|
"read_tags": [
|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Rollout",
|
|
"server_id": "1",
|
|
"aggr_func": "mdn",
|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Square",
|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
},
|
|
{
|
|
"id": 8,
|
|
"schedule_name": "scouter-opcua-pipeline-8",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
"frequency": "30s",
|
|
"max_retry_policy": 1,
|
|
"read_tags": [
|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Rollout",
|
|
"server_id": "1",
|
|
"aggr_func": "mdn",
|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Square",
|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
},
|
|
{
|
|
"id": 9,
|
|
"schedule_name": "scouter-opcua-pipeline-9",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
"frequency": "30s",
|
|
"max_retry_policy": 1,
|
|
"read_tags": [
|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Rollout",
|
|
"server_id": "1",
|
|
"aggr_func": "mdn",
|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Square",
|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
},
|
|
{
|
|
"id": 10,
|
|
"schedule_name": "scouter-opcua-pipeline-10",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
"frequency": "30s",
|
|
"max_retry_policy": 1,
|
|
"read_tags": [
|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Rollout",
|
|
"server_id": "1",
|
|
"aggr_func": "mdn",
|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Square",
|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
},
|
|
{
|
|
"id": 11,
|
|
"schedule_name": "scouter-opcua-pipeline-11",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
"frequency": "30s",
|
|
"max_retry_policy": 1,
|
|
"read_tags": [
|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Rollout",
|
|
"server_id": "1",
|
|
"aggr_func": "mdn",
|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Square",
|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
},
|
|
{
|
|
"id": 12,
|
|
"schedule_name": "scouter-opcua-pipeline-12",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
"frequency": "30s",
|
|
"max_retry_policy": 1,
|
|
"read_tags": [
|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Rollout",
|
|
"server_id": "1",
|
|
"aggr_func": "mdn",
|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Square",
|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
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}
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],
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|
|
},
|
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{
|
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"id": 24,
|
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|
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|
|
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|
|
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|
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|
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{
|
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|
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{
|
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|
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|
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|
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100
|
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|
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},
|
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{
|
|
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|
|
"server_id": "1",
|
|
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|
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|
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|
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|
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|
100
|
|
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|
|
}
|
|
],
|
|
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|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
},
|
|
{
|
|
"id": 25,
|
|
"schedule_name": "scouter-opcua-pipeline-25",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
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|
|
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|
|
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|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
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|
|
100
|
|
]
|
|
},
|
|
{
|
|
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|
|
"server_id": "1",
|
|
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|
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|
|
"frequency": "15000",
|
|
"data_range": [
|
|
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|
|
100
|
|
]
|
|
},
|
|
{
|
|
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|
|
"server_id": "1",
|
|
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|
|
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|
|
"frequency": "15000",
|
|
"data_range": [
|
|
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|
|
100
|
|
]
|
|
}
|
|
],
|
|
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|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
},
|
|
{
|
|
"id": 26,
|
|
"schedule_name": "scouter-opcua-pipeline-26",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
"frequency": "30s",
|
|
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|
|
"read_tags": [
|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
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|
|
"server_id": "1",
|
|
"aggr_func": "mdn",
|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Square",
|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
},
|
|
{
|
|
"id": 27,
|
|
"schedule_name": "scouter-opcua-pipeline-27",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
"frequency": "30s",
|
|
"max_retry_policy": 1,
|
|
"read_tags": [
|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Rollout",
|
|
"server_id": "1",
|
|
"aggr_func": "mdn",
|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Square",
|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
},
|
|
{
|
|
"id": 28,
|
|
"schedule_name": "scouter-opcua-pipeline-28",
|
|
"model_id": "1",
|
|
"workflow_type": "scouter",
|
|
"frequency": "30s",
|
|
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|
|
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|
|
{
|
|
"tag_name": "Counter",
|
|
"server_id": "1",
|
|
"aggr_func": "avg",
|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Rollout",
|
|
"server_id": "1",
|
|
"aggr_func": "mdn",
|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
"tag_name": "Square",
|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
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|
|
},
|
|
{
|
|
"id": 29,
|
|
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|
|
"model_id": "1",
|
|
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|
|
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|
|
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|
|
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|
|
{
|
|
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|
|
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|
|
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|
|
"tag_address": "ns=2;i=2",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
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|
|
100
|
|
]
|
|
},
|
|
{
|
|
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|
|
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|
|
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|
|
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|
|
"frequency": "15000",
|
|
"data_range": [
|
|
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|
|
100
|
|
]
|
|
},
|
|
{
|
|
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|
|
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|
|
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|
|
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|
|
"frequency": "15000",
|
|
"data_range": [
|
|
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|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
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|
|
},
|
|
{
|
|
"id": 30,
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
{
|
|
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|
|
"server_id": "1",
|
|
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|
|
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|
|
"frequency": "15000",
|
|
"data_range": [
|
|
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|
|
100
|
|
]
|
|
},
|
|
{
|
|
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|
|
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|
|
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|
|
"tag_address": "ns=2;i=3",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
},
|
|
{
|
|
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|
|
"server_id": "1",
|
|
"aggr_func": "lts",
|
|
"tag_address": "ns=2;i=4",
|
|
"frequency": "15000",
|
|
"data_range": [
|
|
-100,
|
|
100
|
|
]
|
|
}
|
|
],
|
|
"filters": [
|
|
{
|
|
"filter_name": "OUT_OF_BOUNDS_FILTER",
|
|
"policy": "DISCARD"
|
|
},
|
|
{
|
|
"filter_name": "NULL_VALUES_FILTER",
|
|
"policy": "DISCARD"
|
|
}
|
|
],
|
|
"tag_retention_minutes": 60
|
|
}
|
|
] |