NewsTTanomaly
- Last UpdatedJun 09, 2023
- 3 minute read
This Azure function custom query returns the news events for the ttanomaly – TwinThread Anomaly algorithm. The custom query expression supports the following parameters:
|
Parameter Name |
Parameter Choice |
Example |
Description |
|---|---|---|---|
|
QueryName |
Required |
NewsTTanomaly |
Azure function query name |
|
StartDateTime |
Optional |
"[RequestedStartTime]" |
Any valid UTC date time value. To leverage [RequestedStartTime] parameter for populating a time defining dimension, you must enable incremental update feature for the dimension. For more information, see Configure an incremental update for a dimension. |
|
EndDateTime |
Optional |
"[RequestedEndTime]" |
Any valid UTC date time value. To leverage [RequestedEndTime] parameter for populating a time defining dimension, you must enable incremental update feature for dimension. For more information, see Configure an incremental update for a dimension. |
The following properties are returned from the Azure function query for "NewsTTanomaly".
Note:
- This news story returns the top 3 contributors namely Fqn1, Fqn2, and Fqn3.
- The fields with the prefix LP are the parameters exposed to the Insight News Feed component.
|
Property Name |
DataType |
Description |
|---|---|---|
|
Score |
Double |
Score of the news story |
|
Algorithm |
String |
The algorithm to which the news story belongs |
|
DateTime |
DateTime |
The time after which the news anomaly is inserted into the endpoint. |
|
StartTime |
DateTime |
The start time (in UTC format) of the news events. |
|
TimeOfOccurrence |
DateTime |
The time at which the news anomaly is detected. |
|
LP_Asset |
String |
Asset |
|
LP_DateTime |
DateTime |
Datetime |
|
LP_AssetAnomalyScore |
Double |
Asset anomaly score |
|
LP_Modelname |
String |
Model name |
|
LP_ModelId |
String |
Model ID |
|
LP_Fqn1 |
String |
The first contributor FQN to the news story |
|
LP_Transform1 |
String |
The transformation type for the first FQN |
|
LP_OriginalTransform1 |
String |
The transformation type for the first FQN |
|
LP_MlName1 |
String |
Internal name of the first FQN |
|
LP_Value1 |
Double |
Value of the first FQN |
|
LP_OldScore1 |
Double |
Old score of the first FQN |
|
LP_AnomalyScore1 |
Double |
Anomaly score of the first FQN |
|
LP_RawScore1 |
Double |
Raw score of the first FQN |
|
LP_RangeMin1 |
Double |
Minimum range of the first FQN |
|
LP_RangeMax1 |
Double |
Maximum range of the first FQN |
|
LP_Fqn2 |
String |
The second contributor FQN to the news story |
|
LP_Transform2 |
String |
The transformation type for the second FQN |
|
LP_OriginalTransform2 |
String |
The transformation type for the second FQN |
|
LP_MlName2 |
String |
Internal name of the second FQN |
|
LP_Value2 |
Double |
Value of the second FQN |
|
LP_OldScore2 |
Double |
Old score of the second FQN |
|
LP_AnomalyScore2 |
Double |
Anomaly score of the second FQN |
|
LP_RawScore2 |
Double |
Raw score of the second FQN |
|
LP_RangeMin2 |
Double |
Minimum range of the second FQN |
|
LP_RangeMax2 |
Double |
Maximum range of the second FQN |
|
LP_Fqn3 |
String |
The third contributor FQN to the news story |
|
LP_Transform3 |
String |
The transformation type for the third FQN |
|
LP_OriginalTransform3 |
String |
The transformation type for the third FQN |
|
LP_MlName3 |
String |
Internal name of the third FQN |
|
LP_Value3 |
Double |
Value of the third FQN |
|
LP_OldScore3 |
Double |
Old score of the third FQN |
|
LP_AnomalyScore3 |
Double |
Anomaly score of the third FQN |
|
LP_RawScore3 |
Double |
Raw score of the third FQN |
|
LP_RangeMin3 |
Double |
Minimum range of the third FQN |
|
LP_RangeMax3 |
Double |
Maximum range of the third FQN |
|
Units |
String |
The engineering units of the FQN |
|
TimeZone |
String |
The name of the timezone of the news story |
|
User |
String |
The system user |
|
AssetID |
String |
Asset ID of the news story |
|
Location |
String |
Location |
|
Author |
String |
Author of the news story |
|
Tenant |
String |
Name of the tenant of the news story |
|
ID |
String |
Globally unique identifier for the event. |
|
FQN |
String |
The fully qualified name for the tag. A fully qualified name uses the format: datasource.tagname. |