Merge pull request #230611 from mrbullwinkle/mrb_03_14_2023_univariate_js

[Cognitive Services] [Anomaly Detector] Update JS code sample to latest version

Author: v-regandowner

articles/cognitive-services/Anomaly-Detector/includes/quickstarts/anomaly-detector-client-library-javascript.md

@@ -6,7 +6,7 @@ author: mrbullwinkle
 manager: nitinme
 ms.service: cognitive-services
 ms.topic: include
-ms.date: 10/13/2022
+ms.date: 03/14/2023
 ms.author: mbullwin
 ms.custom: devx-track-js
 ---
@@ -45,8 +45,9 @@ Create a `package.json` file with the following contents:
 {
   "dependencies": {
     "@azure/ai-anomaly-detector": "next",
+    "@azure-rest/ai-anomaly-detector": "next",
     "@azure/core-auth": "^1.3.0",
-    "csv-parse": "^4.4.0"
+    "csv-parse": "^5.3.0"
   }
 }
 ```
@@ -122,59 +123,68 @@ curl "https://raw.githubusercontent.com/Azure/azure-sdk-for-python/main/sdk/anom
 Create a file named `index.js` and replace with the following code:
 
 ```javascript
-const { AnomalyDetectorClient, KnownTimeGranularity } = require("@azure/ai-anomaly-detector");
+const AnomalyDetector = require("@azure-rest/ai-anomaly-detector").default,
+  { isUnexpected } = require("@azure-rest/ai-anomaly-detector");
 const { AzureKeyCredential } = require("@azure/core-auth");
 
+const { parse } = require("csv-parse/sync");
 const fs = require("fs");
-const parse = require("csv-parse/lib/sync");
 
 // You will need to set this environment variables or edit the following values
 const apiKey = process.env["ANOMALY_DETECTOR_API_KEY"] || "";
 const endpoint = process.env["ANOMALY_DETECTOR_ENDPOINT"] || "";
-const datapath = "./request-data.csv";
+const timeSeriesDataPath = "./request-data.csv";
 
 function read_series_from_file(path) {
   let result = Array();
   let input = fs.readFileSync(path).toString();
   let parsed = parse(input, { skip_empty_lines: true });
-  parsed.forEach(function(e) {
+  parsed.forEach(function (e) {
     result.push({ timestamp: new Date(e[0]), value: Number(e[1]) });
   });
   return result;
 }
 
 async function main() {
   // create client
-  const client = new AnomalyDetectorClient(endpoint, new AzureKeyCredential(apiKey));
+  const credential = new AzureKeyCredential(apiKey);
+  const client = AnomalyDetector(endpoint, credential);
 
   // construct request
-  const request = {
-    series: read_series_from_file(datapath),
-    granularity: KnownTimeGranularity.daily
+  const options = {
+    body: {
+      granularity: "daily",
+      imputeMode: "auto",
+      maxAnomalyRatio: 0.25,
+      sensitivity: 95,
+      series: read_series_from_file(timeSeriesDataPath),
+    },
+    headers: { "Content-Type": "application/json" },
   };
 
-  // get entire detect result
-  const result = await client.detectEntireSeries(request);
+  // get last detect result
+  const result = await client.path("/timeseries/entire/detect").post(options);
+  if (isUnexpected(result)) {
+    throw result;
+  }
 
-  if (
-    result.isAnomaly.some(function(anomaly) {
-      return anomaly === true;
-    })
-  ) {
-    console.log("Anomalies were detected from the series at index:");
-    result.isAnomaly.forEach(function(anomaly, index) {
+  if (result.body.isAnomaly) {
+    result.body.isAnomaly.forEach(function (anomaly, index) {
       if (anomaly === true) {
         console.log(index);
       }
     });
   } else {
     console.log("There is no anomaly detected from the series.");
   }
+
 }
 
 main().catch((err) => {
   console.error("The sample encountered an error:", err);
 });
+
+module.exports = { main };
 ```
 
 ## Run the application