Update docs metadata

Author: azure-sdk

docs-ref-services/preview/media-videoanalyzer-edge-readme.md

@@ -1,18 +1,16 @@
 ---
-title: Azure Video Analyzer Edge client library for Java
+title: 
 keywords: Azure, java, SDK, API, azure-media-videoanalyzer-edge, videoanalyzer
-author: ramya-rao-a
-ms.author: ramyar
-ms.date: 10/27/2021
+author: joshfree
+ms.author: jfree
+ms.date: 04/30/2022
 ms.topic: reference
-ms.prod: azure
-ms.technology: azure
 ms.devlang: java
 ms.service: videoanalyzer
 ---
+# Deprecated. Azure Video Analyzer Edge client library for Java
 
-# Azure Video Analyzer Edge client library for Java - Version 1.0.0-beta.5 
-
+Deprecated. We’re retiring the Azure Video Analyzer preview service, you're advised to transition your applications off of Video Analyzer by 01 December 2022. This SDK is not longer maintained. 
 
 Azure Video Analyzer is an [Azure Applied AI Service][applied-ai-service] that provides a platform for you to build intelligent video applications that can span both edge and cloud infrastructures. The platform offers the capability to capture, record, and analyze live video along with publishing the results, video and video analytics, to Azure services at the edge or in the cloud. It is designed to be an extensible platform, enabling you to connect different video inferencing edge modules such as Cognitive services modules, or custom inferencing modules that have been trained with your own data using either open-source machine learning or [Azure Machine Learning][machine-learning].
 
@@ -76,40 +74,39 @@ A _pipeline topology_ is a blueprint or template for creating live pipelines. It
 
 To create a pipeline topology you need to define sources and sinks.
 
-<!-- embedme C:\azure-sdk-for-java\sdk\videoanalyzer\azure-media-videoanalyzer-edge\src\samples\java\com\azure\media\videoanalyzer\edge\LvaInvokeModuleSample.java#L30-L79 -->
-```java
+```java readme-sample-buildPipelineTopology
 private static PipelineTopology buildPipeLineTopology() {
     IotHubMessageSource msgSource = new IotHubMessageSource("iotMsgSource")
-    .setHubInputName("${hubSourceInput}");
+        .setHubInputName("${hubSourceInput}");
 
     UsernamePasswordCredentials creds = new UsernamePasswordCredentials("${rtspUsername}", "${rtspPassword}");
 
     UnsecuredEndpoint endpoint = new UnsecuredEndpoint("${rtspUrl}")
-    .setCredentials(creds);
+        .setCredentials(creds);
 
     RtspSource rtspSource = new RtspSource("rtspSource", endpoint);
 
     NodeInput rtspInput = new NodeInput("rtspSource");
 
     OutputSelector rtspOutputSelector = new OutputSelector()
-    .setProperty(OutputSelectorProperty.MEDIA_TYPE)
-    .setOperator(OutputSelectorOperator.IS)
-    .setValue("video");
+        .setProperty(OutputSelectorProperty.MEDIA_TYPE)
+        .setOperator(OutputSelectorOperator.IS)
+        .setValue("video");
     ImageScale imageScale = new ImageScale()
-    .setMode(ImageScaleMode.PRESERVE_ASPECT_RATIO)
-    .setHeight("416")
-    .setWidth("416");
+        .setMode(ImageScaleMode.PRESERVE_ASPECT_RATIO)
+        .setHeight("416")
+        .setWidth("416");
     ImageFormatBmp imageFormat = new ImageFormatBmp();
     ImageProperties image = new ImageProperties()
-    .setScale(imageScale)
-    .setFormat(imageFormat);
+        .setScale(imageScale)
+        .setFormat(imageFormat);
     ExtensionProcessorBase httpExtension = new HttpExtension("inferenceClient", Arrays.asList(rtspInput), endpoint, image);
 
     NodeInput nodeInput = new NodeInput("inferenceClient");
 
     IotHubMessageSink msgSink = new IotHubMessageSink("msgSink",
-    Arrays.asList(nodeInput),
-    "${hubSinkOutputName}");
+        Arrays.asList(nodeInput),
+        "${hubSinkOutputName}");
 
     ParameterDeclaration userName = new ParameterDeclaration("rtspUserName", ParameterType.STRING);
 
@@ -118,53 +115,47 @@ private static PipelineTopology buildPipeLineTopology() {
     ParameterDeclaration hubOutput = new ParameterDeclaration("hubSinkOutputName", ParameterType.STRING);
 
     PipelineTopologyProperties pipeProps = new PipelineTopologyProperties()
-    .setParameters(Arrays.asList(userName, password, url, hubOutput))
-    .setSources(Arrays.asList(rtspSource))
-    .setSinks(Arrays.asList(msgSink))
-    .setProcessors(Arrays.asList(httpExtension));
-
-    PipelineTopology pipelineTopology = new PipelineTopology(TOPOLOGY_NAME)
-    .setProperties(pipeProps);
+        .setParameters(Arrays.asList(userName, password, url, hubOutput))
+        .setSources(Arrays.asList(rtspSource))
+        .setSinks(Arrays.asList(msgSink))
+        .setProcessors(Arrays.asList(httpExtension));
 
-    return pipelineTopology;
+    return new PipelineTopology(TOPOLOGY_NAME)
+        .setProperties(pipeProps);
 }
 ```
 
 ### Creating a live pipeline
 
 To create a live pipeline, you need to have an existing pipeline topology.
 
-<!-- embedme C:\azure-sdk-for-java\sdk\videoanalyzer\azure-media-videoanalyzer-edge\src\samples\java\com\azure\media\videoanalyzer\edge\LvaInvokeModuleSample.java#L85-L103 -->
-```java
+```java readme-sample-buildLivePipeline
 private static LivePipeline buildLivePipeline() {
     ParameterDefinition hubParam = new ParameterDefinition("hubSinkOutputName")
-    .setValue("testHubOutput");
+        .setValue("testHubOutput");
     ParameterDefinition userParam = new ParameterDefinition("rtspUserName")
-    .setValue("testuser");
+        .setValue("testuser");
     ParameterDefinition urlParam = new ParameterDefinition("rtspUrl")
-    .setValue("rtsp://sample-url-from-camera");
+        .setValue("rtsp://sample-url-from-camera");
     ParameterDefinition passParam = new ParameterDefinition("rtspPassword")
-    .setValue("testpass");
+        .setValue("testpass");
 
     LivePipelineProperties livePipelineProps = new LivePipelineProperties()
-    .setParameters(Arrays.asList(urlParam, userParam, passParam, hubParam))
-    .setTopologyName(TOPOLOGY_NAME);
-
-    LivePipeline livePipeline = new LivePipeline(LIVE_PIPELINE_NAME)
-    .setProperties(livePipelineProps);
+        .setParameters(Arrays.asList(urlParam, userParam, passParam, hubParam))
+        .setTopologyName(TOPOLOGY_NAME);
 
-    return livePipeline;
+    return new LivePipeline(LIVE_PIPELINE_NAME)
+        .setProperties(livePipelineProps);
 }
 ```
 
 ### Invoking a direct method
 
-<!-- embedme C:\azure-sdk-for-java\sdk\videoanalyzer\azure-media-videoanalyzer-edge\src\samples\java\com\azure\media\videoanalyzer\edge\LvaInvokeModuleSample.java#L132-L142 -->
-```java
+```java readme-sample-invokeDirectMethodHelper
 private static MethodResult invokeDirectMethodHelper(DeviceMethod client, String methodName, String payload) throws IOException, IotHubException {
     MethodResult result = null;
     try {
-        result = client.invoke(DEVICE_ID, MODULE_ID, methodName, null, null, payload);
+        result = client.invoke(iothubDeviceid, iothubModuleid, methodName, null, null, payload);
     } catch (IotHubException e) {
         System.out.println("An error has occurred.");
         System.out.println(e.toString());
@@ -174,10 +165,10 @@ private static MethodResult invokeDirectMethodHelper(DeviceMethod client, String
 }
 ```
 
-<!-- embedme C:\azure-sdk-for-java\sdk\videoanalyzer\azure-media-videoanalyzer-edge\src\samples\java\com\azure\media\videoanalyzer\edge\LvaInvokeModuleSample.java#L160-L161 -->
-```java
+```java readme-sample-setPipelineTopologyRequest
 PipelineTopologySetRequest setPipelineTopologyRequest = new PipelineTopologySetRequest(pipelineTopology);
 MethodResult setPipelineResult = invokeDirectMethodHelper(dClient, setPipelineTopologyRequest.getMethodName(), setPipelineTopologyRequest.getPayloadAsJson());
+System.out.println(setPipelineResult.getPayload());
 ```
 
 ## Troubleshooting
@@ -212,15 +203,15 @@ additional questions or comments.
 
 <!-- LINKS -->
 
-[azure_cli]: https://docs.microsoft.com/cli/azure
+[azure_cli]: /cli/azure
 [azure_sub]: https://azure.microsoft.com/free/
 [cla]: https://cla.microsoft.com
 [code_of_conduct]: https://opensource.microsoft.com/codeofconduct/
 [coc_faq]: https://opensource.microsoft.com/codeofconduct/faq/
 [coc_contact]: mailto:opencode@microsoft.com
 [package]: https://aka.ms/ava/sdk/client/java
 [samples]: https://aka.ms/video-analyzer-sample
-[source]: https://github.com/Azure/azure-sdk-for-java/tree/azure-media-videoanalyzer-edge_1.0.0-beta.5/sdk/videoanalyzer
+[source]: https://github.com/Azure/azure-sdk-for-java/tree/azure-media-videoanalyzer-edge_1.0.0-beta.6/sdk/videoanalyzer
 [doc_direct_methods]: https://go.microsoft.com/fwlink/?linkid=2162396
 [doc_pipelines]: https://go.microsoft.com/fwlink/?linkid=2162396
 [doc_product]: https://go.microsoft.com/fwlink/?linkid=2162396

metadata/preview/azure-media-videoanalyzer-edge.json

@@ -0,0 +1,14 @@
+{
+  "Name": "azure-media-videoanalyzer-edge",
+  "Version": "1.0.0-beta.6",
+  "DevVersion": null,
+  "DirectoryPath": "sdk/videoanalyzer/azure-media-videoanalyzer-edge",
+  "ServiceDirectory": "videoanalyzer",
+  "ReadMePath": "sdk/videoanalyzer/azure-media-videoanalyzer-edge/README.md",
+  "ChangeLogPath": "sdk/videoanalyzer/azure-media-videoanalyzer-edge/CHANGELOG.md",
+  "Group": "com.azure",
+  "SdkType": "client",
+  "IsNewSdk": true,
+  "ArtifactName": "azure-media-videoanalyzer-edge",
+  "ReleaseStatus": "2022-04-29"
+}