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These endpoints are the ones which is used in the automation config further down.
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Please be aware that 5.8+ have a different URL so go find the right base URL here: Digizuite™ AI Services or ask R&D. But client id and code will be the same. |
Type | Endpoint | Input | Functionality | Output | ||
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Google Vision |
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| Sends image for web search at google Vision and returns urls. | Returns See all the definitions here: https://cloud.google.com/vision/docs/detecting-web
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Note that client id and secret code must be provided for the endpoint by Digizuite R&D. Also , the ximilar or inscene API key must be provided to Digizuite so it can be associated with remember ONLY to use the client id on the environment which it is related to. |
When you have added the below then you are good to go.
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trigger "Metadata trigger" { type = "Specific Metadata Value" resolves = "Set String Metafield" value = "#54a0ff;creative" ignore_casing = "true" meta_field = "guid:6fe35f10-c810-497b-af9c-e52c3d583593" listen_to_metadata_changes = "all" } action "Invoke Endpoint" { type = "Invoke Endpoint" endpoint = "https://dgz-integration-broker-queue{URL-DEPENDING-ON-DAM-VERSION}.azurewebsites.net/api/integrations/asset/invoke?clientId={SECRET_CLIENT_ID}&integrationType=GoogleImageSearch&assetId=<assetid>&code={SECRET_CODE}" method = "post" response = "@response" } action "Query JSON" { type = "Query JSON" needs = "Invoke Endpoint" json = "@response" json_path = "$.result.webDetection.pagesWithMatchingImages[*].url" error_on_not_found_items = "true" result = "@queryResult" } action "Set String Metafield" { type = "Set String Metafield" needs = "Query JSON" meta_field = "guid:7441267e-4f7c-4dcd-9c42-20273a4ab6af" new_value = "@queryResult" asset_item_ids = "@sourceAssetItemId" } |
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