Azure · hivyas · Oct 29, 2021 · Oct 28, 2021 · Oct 28, 2021 · Oct 28, 2021
@@ -55,7 +55,7 @@
     "prettier": "^1.16.4",
     "ts-node": "^7.0.1",
     "tslib": "1.11.2",
-    "typescript": "^3.2.2",
+    "typescript": "^3.9.10",
     "yargs": "^11.0.0"
   },
   "engines": {

@@ -1,7 +1,9 @@
 # Release History
+## 1.0.0-beta.3 (2021-11-01)
 
-## 1.0.0-beta.3 (Unreleased)
-
+- Added device discovery and device detail request for ONVIF enabled devices.
+- Added Remote Device Adapter configuration for ingesting video in a private network
+- Added retention policy to VideoSink
 
 ## 1.0.0-beta.2 (2021-05-28)
 

@@ -1,6 +1,6 @@
 # Azure Video Analyzer Edge client library for JavaScript
 
-Azure Video Analyzer provides a platform to build intelligent video applications that span the edge and the cloud. The platform offers the capability to capture, record, and analyze live video along with publishing the results, video and video analytics, to Azure services in the cloud or the edge. It is designed to be an extensible platform, enabling you to connect different video analysis edge modules such as Cognitive services containers, custom edge modules built by you with open source machine learning models or custom models trained with your own data. You can then use them to analyze live video without worrying about the complexity of building and running a live video pipeline.
+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].
 
 Use the client library for Video Analyzer Edge to:
 
@@ -31,7 +31,9 @@ npm install @azure/video-analyzer-edge
 
   | SDK          | Video Analyzer edge module |
   | ------------ | -------------------------- |
-  | 1.0.0-beta.x | 1.0                        |
+  | 1.0.0-beta.3 | 1.1                        |
+  | 1.0.0-beta.2 | 1.0                        |
+  | 1.0.0-beta.1 | 1.0                        |
 
 ### Creating a pipeline topology and making requests
 
@@ -53,44 +55,47 @@ To create a pipeline topology you need to define sources and sinks.
 
 ```typescript
 const rtspSource: RtspSource = {
-    name: "rtspSource",
-    endpoint: {
-      url: "${rtspUrl}",
-      "@type": "#Microsoft.VideoAnalyzer.UnsecuredEndpoint",
-      credentials: {
-        username: "${rtspUserName}",
-        password: "${rtspPassword}",
-        "@type": "#Microsoft.VideoAnalyzer.UsernamePasswordCredentials"
-      }
-    } as UnsecuredEndpoint,
-    "@type": "#Microsoft.VideoAnalyzer.RtspSource"
-  };
-
-  const nodeInput: NodeInput = {
-    nodeName: "rtspSource"
-  };
-
-  const msgSink: IotHubMessageSink = {
-    name: "msgSink",
-    inputs: [nodeInput],
-    hubOutputName: "${hubSinkOutputName}",
-    "@type": "#Microsoft.VideoAnalyzer.IotHubMessageSink"
-  };
-
-  const pipelineTopology: PipelineTopology = {
-    name: "jsTestTopology",
-    properties: {
-      description: "Continuous video recording to a Video Analyzer video",
-      parameters: [
-        { name: "rtspUserName", type: "String", default: "dummyUsername" },
-        { name: "rtspPassword", type: "SecretString", default: "dummyPassword" },
-        { name: "rtspUrl", type: "String" }
-        { name: "hubSinkOutputName", type: "String" }
-      ],
-      sources: [rtspSource],
-      sinks: [msgSink]
+  //Create a source for your pipeline topology
+  name: "rtspSource",
+  endpoint: {
+    url: "${rtspUrl}",
+    "@type": "#Microsoft.VideoAnalyzer.UnsecuredEndpoint",
+    credentials: {
+      username: "${rtspUserName}",
+      password: "${rtspPassword}",
+      "@type": "#Microsoft.VideoAnalyzer.UsernamePasswordCredentials"
     }
-  };
+  } as UnsecuredEndpoint,
+  "@type": "#Microsoft.VideoAnalyzer.RtspSource"
+};
+
+const nodeInput: NodeInput = {
+  //Create an input for your sink
+  nodeName: "rtspSource"
+};
+
+const videoSink: VideoSink = {
+  name: "videoSink",
+  inputs: [nodeInput],
+  videoName: "video",
+  localMediaCachePath: "/var/lib/videoanalyzer/tmp/",
+  localMediaCacheMaximumSizeMiB: "1024",
+  "@type": "#Microsoft.VideoAnalyzer.VideoSink"
+}
+
+const pipelineTopology: PipelineTopology = {
+  name: "jsTestTopology",
+  properties: {
+    description: "description for jsTestTopology",
+    parameters: [
+      { name: "rtspUserName", type: "String", default: "testUsername" },
+      { name: "rtspPassword", type: "SecretString", default: "testPassword" },
+      { name: "rtspUrl", type: "String" },
+    ],
+    sources: [rtspSource],
+    sinks: [videoSink]
+  }
+};
 
 ```
 
@@ -100,10 +105,10 @@ To create a live pipeline instance, you need to have an existing pipeline topolo
 
 ```typescript
 const livePipeline: LivePipeline = {
-  name: pipelineTopologyName,
+  name: "jsLivePipelineTest",
   properties: {
-    description: "Continuous video recording to a Video Analyzer video",
-    topologyName: "jsTestTopology",
+    description: "description",
+    topologyName: pipelineTopologyName,
     parameters: [{ name: "rtspUrl", value: "rtsp://sample.com" }]
   }
 };
@@ -117,15 +122,16 @@ To invoke a direct method on your device you need to first define the request us
 import { createRequest } from "@azure/video-analyzer-edge";
 import { Client } from "azure-iothub";
 
-const deviceId = "lva-sample-device";
-const moduleId = "mediaEdge";
-const connectionString = "connectionString";
-const iotHubClient = Client.fromConnectionString(connectionString);
+const deviceId = process.env.iothub_deviceid;
+const moduleId = process.env.iothub_moduleid;
+const connectionString = process.env.iothub_connectionstring;
+const iotHubClient = Client.fromConnectionString(connectionString); //Connect to your IoT Hub
+
 const pipelineTopologySetRequest = createRequest("pipelineTopologySet", pipelineTopology);
 const setPipelineTopResponse = await iotHubClient.invokeDeviceMethod(deviceId, moduleId, {
-  methodName: pipelineTopologySetRequest.methodName,
-  payload: pipelineTopologySetRequest.payload
-});
+    methodName: pipelineTopologySetRequest.methodName,
+    payload: pipelineTopologySetRequest.payload
+  });
 ```
 
 ## Troubleshooting

@@ -11,14 +11,14 @@
     "audit": "node ../../../common/scripts/rush-audit.js && rimraf node_modules package-lock.json && npm i --package-lock-only 2>&1 && npm audit",
     "build:browser": "tsc -p . && cross-env ONLY_BROWSER=true rollup -c 2>&1",
     "build:node": "tsc -p . && cross-env ONLY_NODE=true rollup -c 2>&1",
-    "build:samples": "dev-tool samples prep && cd dist-samples && tsc -p .",
+    "build:samples": "echo Obsolete.",
     "build:test": "tsc -p . && rollup -c 2>&1",
     "build": "npm run clean && tsc -p . && rollup -c 2>&1 && api-extractor run --local",
-    "check-format": "prettier --list-different --config ../../../.prettierrc.json --ignore-path ../../../.prettierignore \"src/**/*.ts\" \"test/**/*.ts\" \"*.{js,json}\"",
+    "check-format": "prettier --list-different --config ../../../.prettierrc.json --ignore-path ../../../.prettierignore \"src/**/*.ts\" \"test/**/*.ts\" \"samples-dev/**/*.ts\" \"*.{js,json}\"",
     "clean": "rimraf dist dist-* test-dist temp types *.tgz *.log",
-    "execute:samples": "npm run build:samples && dev-tool samples run dist-samples/javascript dist-samples/typescript/dist/dist-samples/typescript/src/",
+    "execute:samples": "dev-tool samples run samples-dev",
     "extract-api": "tsc -p . && api-extractor run --local",
-    "format": "prettier --write --config ../../../.prettierrc.json --ignore-path ../../../.prettierignore \"src/**/*.ts\" \"test/**/*.ts\" \"*.{js,json}\"",
+    "format": "prettier --write --config ../../../.prettierrc.json --ignore-path ../../../.prettierignore \"src/**/*.ts\" \"test/**/*.ts\" \"samples-dev/**/*.ts\" \"*.{js,json}\"",
     "integration-test:browser": "karma start --single-run",
     "integration-test:node": "nyc mocha -r esm --require source-map-support/register --reporter ../../../common/tools/mocha-multi-reporter.js --timeout 5000000 --full-trace \"dist-esm/test/{,!(browser)/**/}/*.spec.js\"",
     "integration-test": "npm run integration-test:node && npm run integration-test:browser",
@@ -59,11 +59,12 @@
   "prettier": "@azure/eslint-plugin-azure-sdk/prettier.json",
   "dependencies": {
     "@azure/core-auth": "^1.3.0",
-    "@azure/core-http": "^2.0.0",
     "@azure/core-tracing": "1.0.0-preview.13",
     "@azure/logger": "^1.0.0",
     "events": "^3.0.0",
-    "tslib": "^2.2.0"
+    "tslib": "^2.2.0",
+    "@azure/core-client": "^1.0.0",
+    "@azure/core-rest-pipeline": "^1.1.0"
   },
   "devDependencies": {
     "@azure/dev-tool": "^1.0.0",
@@ -99,9 +100,19 @@
     "typescript": "~4.2.0",
     "util": "^0.12.1",
     "typedoc": "0.15.2",
-    "azure-iothub": "^1.13.1"
+    "azure-iothub": "^1.14.6"
   },
   "//smokeTestConfiguration": {
     "skipFolder": true
+  },
+  "//sampleConfiguration": {
+    "productName": "Azure Video Analyzer",
+    "productSlugs": [
+      "azure",
+      "azure-video-analyzer"
+    ],
+    "requiredResources": {
+      "Azure IoT Hub account": "https://docs.microsoft.com/azure/iot-hub/iot-hub-create-through-portal"
+    }
   }
 }