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| Excerpt |
|---|
The ProjectionTransformation takes all values of a list and applies the configured transformation to each item e.g. take each tag from auto-tagging and match it against the keyword list to later assign all keywords in the descriptive information. |
Example input of group: [ "Adult", "Männlich", "Male", "Erwachsen" ]
ProjectionTransformation:
TakeDictionaryValue → "Adult", 2 LookupCache → refId = 123456...
TakeDictionaryValue → "Männlich", 2 LookupCache → refId = 579192...
The output of this group: [ "123456...", "579192... ]
Then you can take the refIds as expected values for AssignTagActions and tag your content with them.
Specific Definitions
...
Property | Value |
kind | ProjectionTransformation |
transformations | A nested list of transformations that will be applied to each item of a list. |
Find AutoTagging Matches and for each tag find the refId
These refIds will be added to the keywords fields in the Business Rule Action.
| Code Block |
|---|
"transformationGroups": [
{
"inputs": [
"$$metadata$$"
],
"transformations": [
{
"kind": "TakeDictionaryValueTransformation",
"key": "autoTagging",
"traceRefId": null
},
{
"kind": "TakeDictionaryValueTransformation",
"key": "matches",
"traceRefId": null
},
{
"kind": "ProjectionTransformation",
"transformations": [
{
"kind": "TakeDictionaryValueTransformation",
"key": "_refId",
"traceRefId": null
}
],
"traceRefId": null
}
],
"storeIn": "matchedKeywords",
"traceRefId": null
}
],
"actions": [
{
"kind": "AssignTagboxItemsAction",
"path": "eventLayer",
"fieldId": "keywords2",
"refIds": "$matchedKeywords$",
"replace": false,
"traceRefId": null
},
] |
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