ai-dam-config.xml

<?xml version="1.0"?>
<component name="org.nuxeo.ai.Pipeline.damConfig">
  <require>org.nuxeo.runtime.stream.service</require>

  <!-- IMAGES PIPELINE START -->

  <!-- Listens for "pictureViewsGenerationDone" and sends "picture:views/3/content" to the "images" stream. -->
  <extension point="pipes" target="org.nuxeo.ai.Pipeline">
    <pipe id="pipe.dam.images" enabled="true" postCommit="true">
      <supplier>
        <event name="pictureViewsGenerationDone">
          <filter class="org.nuxeo.ai.pipes.filters.NotSystemOrProxyFilter"/>
          <filter class="org.nuxeo.ai.pipes.filters.NoVersionFilter"/>
          <filter class="org.nuxeo.ai.pipes.filters.FacetFilter">
            <option name="includedFacets">Picture</option>
          </filter>
        </event>
      </supplier>
      <consumer>
        <stream name="ai/images"/>
      </consumer>
      <transformer class="org.nuxeo.ai.pipes.functions.PropertiesToStream">
        <option name="blobProperties">picture:views/3/content</option>
        <option name="blobPropertiesType">img</option>
      </transformer>
    </pipe>
  </extension>

  <!-- Read from the "images" stream, call aws.celebrityDetection and put the response in the
      ai/images-enrichment-in stream -->
  <extension target="org.nuxeo.runtime.stream.service" point="streamProcessor">
    <streamProcessor name="celebrityProcessor" defaultConcurrency="2" defaultPartitions="4"
                     class="org.nuxeo.ai.enrichment.EnrichingStreamProcessor">
      <option name="source">ai/images</option>
      <option name="sink">ai/images-enrichment-in</option>
      <option name="enrichmentProviderName">aws.celebrityDetection</option>
      <option name="cache">true</option>
      <policy name="default" maxRetries="1" delay="200ms" maxDelay="2s" continueOnFailure="true"/>
    </streamProcessor>
  </extension>

  <!-- Read from the "ai/images-enrichment-in" stream, and raise an "imageMetadataCreated" event for each new enrichment entry. -->
  <extension target="org.nuxeo.runtime.stream.service" point="streamProcessor">
    <streamProcessor name="raiseEventProcessor" defaultConcurrency="2" defaultPartitions="4"
                     class="org.nuxeo.ai.functions.RaiseEnrichmentEvent">
      <policy name="default" maxRetries="2" delay="200ms" maxDelay="2s" continueOnFailure="false"/>
      <option name="source">ai/images-enrichment-in</option>
      <option name="eventName">imageMetadataCreated</option>
    </streamProcessor>
  </extension>

  <!-- A listener for the  "imageMetadataCreated" event that just writes a log message. -->
  <extension target="org.nuxeo.ecm.core.operation.OperationServiceComponent" point="event-handlers">
    <handler chainId="metaListening">
      <event>imageMetadataCreated</event>
    </handler>
  </extension>
  <extension target="org.nuxeo.ecm.core.operation.OperationServiceComponent" point="chains">
    <chain id="metaListening">
      <operation id="Context.FetchDocument"/>
      <operation id="Log">
        <param type="string" name="level">warn</param>
        <param type="string"
               name="message">A new image event, you can use ctx.Event.context.getProperty("enrichmentMetadata")
        </param>
        <param type="string" name="category">org.nuxeo.ai.event</param>
      </operation>
    </chain>
  </extension>
  <!-- IMAGES PIPELINE END -->

  <!-- VIDEO PIPELINE START -->
  <!-- Listens for new "vid:storyboard" modifications for a path containing "movies"
    and sends 4 of the video storyboard images to the "videos" stream. -->
  <extension point="pipes" target="org.nuxeo.ai.Pipeline">
    <pipe id="pipe.dam.video" enabled="true">
      <supplier>
        <event name="documentModified">
          <filter class="org.nuxeo.ai.pipes.filters.NotSystemOrProxyFilter"/>
          <filter class="org.nuxeo.ai.pipes.filters.NoVersionFilter"/>
          <filter class="org.nuxeo.ai.pipes.filters.FacetFilter">
            <option name="includedFacets">HasStoryboard</option>
          </filter>
          <filter class="org.nuxeo.ai.pipes.filters.DocumentPathFilter">
            <option name="contains">movies</option>
          </filter>
          <filter class="org.nuxeo.ai.pipes.filters.DirtyPropertyFilter"/>
          <option name="properties">vid:storyboard</option>
        </event>
      </supplier>
      <consumer>
        <stream name="video"/>
      </consumer>
      <transformer>
        <option name="blobProperties">
          vid:storyboard/1/content,vid:storyboard/2/content,vid:storyboard/3/content,vid:storyboard/4/content
        </option>
        <option name="blobPropertiesType">img,img,img,img</option>
      </transformer>
    </pipe>
  </extension>

  <!-- Read from the "video" stream, call aws.videoLabels and put the response in the
      ai/video-enrichment-in stream -->
  <extension target="org.nuxeo.runtime.stream.service" point="streamProcessor">
    <streamProcessor name="labelsProcessor" defaultConcurrency="1" defaultPartitions="4"
                     class="org.nuxeo.ai.enrichment.EnrichingStreamProcessor">
      <option name="source">ai/video</option>
      <option name="sink">ai/video-enrichment-in</option>
      <option name="enrichmentProviderName">aws.videoLabels</option>
      <option name="cache">true</option>
      <policy name="default" maxRetries="1" delay="200ms" maxDelay="2s" continueOnFailure="true"/>
    </streamProcessor>
  </extension>

  <!-- Read from the "ai/video-enrichment-in" stream and create document tags for the enrichment labels -->
  <extension target="org.nuxeo.runtime.stream.service" point="streamProcessor">
    <streamProcessor name="tagsProcessor" defaultConcurrency="1" defaultPartitions="4"
                     class="org.nuxeo.ai.functions.StoreLabelsAsTags">
      <policy name="default" maxRetries="2" delay="200ms" maxDelay="2s" continueOnFailure="false"/>
      <option name="source">ai/video-enrichment-in</option>
    </streamProcessor>
  </extension>
  <!-- VIDEO PIPELINE END -->

</component>