AzureSDKAutomation · openapi-sdkautomation · Jan 21, 2022
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-AnomalyDetector/CHANGELOG.md b/sdk/cognitiveservices/azure-cognitiveservices-AnomalyDetector/CHANGELOG.md
@@ -0,0 +1,13 @@
+# Release History
+
+## 1.0.0-beta.1 (Unreleased)
+
+- Azure AnomalyDetectorClient client library for Java. This package contains Microsoft Azure AnomalyDetectorClient client library.
+
+### Features Added
+
+### Breaking Changes
+
+### Bugs Fixed
+
+### Other Changes
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-AnomalyDetector/README.md b/sdk/cognitiveservices/azure-cognitiveservices-AnomalyDetector/README.md
@@ -0,0 +1,63 @@
+# Azure AnomalyDetectorClient client library for Java
+
+Azure AnomalyDetectorClient client library for Java.
+
+This package contains Microsoft Azure AnomalyDetectorClient client library.
+
+## Documentation
+
+Various documentation is available to help you get started
+
+- [API reference documentation][docs]
+- [Product documentation][product_documentation]
+
+## Getting started
+
+### Prerequisites
+
+- [Java Development Kit (JDK)][jdk] with version 8 or above
+- [Azure Subscription][azure_subscription]
+
+### Adding the package to your product
+
+[//]: # ({x-version-update-start;com.azure:azure-cognitiveservices-AnomalyDetector;current})
+```xml
+<dependency>
+    <groupId>com.azure</groupId>
+    <artifactId>azure-cognitiveservices-AnomalyDetector</artifactId>
+    <version>1.0.0-beta.1</version>
+</dependency>
+```
+[//]: # ({x-version-update-end})
+
+### Authentication
+
+[Azure Identity][azure_identity] package provides the default implementation for authenticating the client.
+
+## Key concepts
+
+## Examples
+
+```java com.azure.cognitiveservices.anomalydetector.readme
+```
+
+## Troubleshooting
+
+## Next steps
+
+## Contributing
+
+For details on contributing to this repository, see the [contributing guide](https://github.com/Azure/azure-sdk-for-java/blob/main/CONTRIBUTING.md).
+
+1. Fork it
+1. Create your feature branch (`git checkout -b my-new-feature`)
+1. Commit your changes (`git commit -am 'Add some feature'`)
+1. Push to the branch (`git push origin my-new-feature`)
+1. Create new Pull Request
+
+<!-- LINKS -->
+[product_documentation]: https://azure.microsoft.com/services/
+[docs]: https://azure.github.io/azure-sdk-for-java/
+[jdk]: https://docs.microsoft.com/java/azure/jdk/
+[azure_subscription]: https://azure.microsoft.com/free/
+[azure_identity]: https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/identity/azure-identity
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-AnomalyDetector/pom.xml b/sdk/cognitiveservices/azure-cognitiveservices-AnomalyDetector/pom.xml
@@ -0,0 +1,73 @@
+<project xmlns="http://maven.apache.org/POM/4.0.0" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
+  <modelVersion>4.0.0</modelVersion>
+  <parent>
+    <groupId>com.azure</groupId>
+    <artifactId>azure-client-sdk-parent</artifactId>
+    <version>1.7.0</version> <!-- {x-version-update;com.azure:azure-client-sdk-parent;current} -->
+    <relativePath>../../parents/azure-client-sdk-parent</relativePath>
+  </parent>
+
+  <groupId>com.azure</groupId>
+  <artifactId>azure-cognitiveservices-AnomalyDetector</artifactId>
+  <version>1.0.0-beta.1</version> <!-- {x-version-update;com.azure:azure-cognitiveservices-AnomalyDetector;current} -->
+  <packaging>jar</packaging>
+
+  <name>Microsoft Azure SDK for AnomalyDetectorClient Management</name>
+  <description>This package contains Microsoft Azure AnomalyDetectorClient client library.</description>
+  <url>https://github.com/Azure/azure-sdk-for-java</url>
+
+  <licenses>
+    <license>
+      <name>The MIT License (MIT)</name>
+      <url>http://opensource.org/licenses/MIT</url>
+      <distribution>repo</distribution>
+    </license>
+  </licenses>
+
+  <scm>
+    <url>https://github.com/Azure/azure-sdk-for-java</url>
+    <connection>scm:git:git@github.com:Azure/azure-sdk-for-java.git</connection>
+    <developerConnection>scm:git:git@github.com:Azure/azure-sdk-for-java.git</developerConnection>
+    <tag>HEAD</tag>
+  </scm>
+  <developers>
+    <developer>
+      <id>microsoft</id>
+      <name>Microsoft</name>
+    </developer>
+  </developers>
+  <properties>
+    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+    <jacoco.skip>true</jacoco.skip>
+  </properties>
+  <dependencies>
+    <dependency>
+      <groupId>com.azure</groupId>
+      <artifactId>azure-core</artifactId>
+      <version>1.24.1</version> <!-- {x-version-update;com.azure:azure-core;dependency} -->
+    </dependency>
+    <dependency>
+      <groupId>com.azure</groupId>
+      <artifactId>azure-core-http-netty</artifactId>
+      <version>1.11.6</version> <!-- {x-version-update;com.azure:azure-core-http-netty;dependency} -->
+    </dependency>
+    <dependency>
+      <groupId>org.junit.jupiter</groupId>
+      <artifactId>junit-jupiter-engine</artifactId>
+      <version>5.8.2</version> <!-- {x-version-update;org.junit.jupiter:junit-jupiter-engine;external_dependency} -->
+      <scope>test</scope>
+    </dependency>
+    <dependency>
+      <groupId>com.azure</groupId>
+      <artifactId>azure-core-test</artifactId>
+      <version>1.7.7</version> <!-- {x-version-update;com.azure:azure-core-test;dependency} -->
+      <scope>test</scope>
+    </dependency>
+    <dependency>
+      <groupId>com.azure</groupId>
+      <artifactId>azure-identity</artifactId>
+      <version>1.4.3</version> <!-- {x-version-update;com.azure:azure-identity;dependency} -->
+      <scope>test</scope>
+    </dependency>
+  </dependencies>
+</project>
diff --git a/...src/main/java/com/azure/cognitiveservices/anomalydetector/AnomalyDetectorAsyncClient.java b/...src/main/java/com/azure/cognitiveservices/anomalydetector/AnomalyDetectorAsyncClient.java
@@ -0,0 +1,199 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+// Code generated by Microsoft (R) AutoRest Code Generator.
+
+package com.azure.cognitiveservices.anomalydetector;
+
+import com.azure.cognitiveservices.anomalydetector.implementation.AnomalyDetectorClientImpl;
+import com.azure.core.annotation.Generated;
+import com.azure.core.annotation.ReturnType;
+import com.azure.core.annotation.ServiceClient;
+import com.azure.core.annotation.ServiceMethod;
+import com.azure.core.exception.HttpResponseException;
+import com.azure.core.http.rest.RequestOptions;
+import com.azure.core.http.rest.Response;
+import com.azure.core.util.BinaryData;
+import reactor.core.publisher.Mono;
+
+/** Initializes a new instance of the asynchronous AnomalyDetectorClient type. */
+@ServiceClient(builder = AnomalyDetectorClientBuilder.class, isAsync = true)
+public final class AnomalyDetectorAsyncClient {
+    @Generated private final AnomalyDetectorClientImpl serviceClient;
+
+    /**
+     * Initializes an instance of AnomalyDetectorClient client.
+     *
+     * @param serviceClient the service client implementation.
+     */
+    @Generated
+    AnomalyDetectorAsyncClient(AnomalyDetectorClientImpl serviceClient) {
+        this.serviceClient = serviceClient;
+    }
+
+    /**
+     * This operation generates a model with an entire series, each point is detected with the same model. With this
+     * method, points before and after a certain point are used to determine whether it is an anomaly. The entire
+     * detection can give user an overall status of the time series.
+     *
+     * <p><strong>Request Body Schema</strong>
+     *
+     * <pre>{@code
+     * {
+     *     series: [
+     *         {
+     *             timestamp: String
+     *             value: float
+     *         }
+     *     ]
+     *     granularity: String(yearly/monthly/weekly/daily/hourly/minutely/secondly/microsecond/none)
+     *     customInterval: Integer
+     *     period: Integer
+     *     maxAnomalyRatio: Float
+     *     sensitivity: Integer
+     *     imputeMode: String(auto/previous/linear/fixed/zero/notFill)
+     *     imputeFixedValue: Float
+     * }
+     * }</pre>
+     *
+     * <p><strong>Response Body Schema</strong>
+     *
+     * <pre>{@code
+     * {
+     *     period: int
+     *     expectedValues: [
+     *         float
+     *     ]
+     *     upperMargins: [
+     *         float
+     *     ]
+     *     lowerMargins: [
+     *         float
+     *     ]
+     *     isAnomaly: [
+     *         boolean
+     *     ]
+     *     isNegativeAnomaly: [
+     *         boolean
+     *     ]
+     *     isPositiveAnomaly: [
+     *         boolean
+     *     ]
+     *     severity: [
+     *         float
+     *     ]
+     * }
+     * }</pre>
+     *
+     * @param body Time series points and period if needed. Advanced model parameters can also be set in the request.
+     * @param requestOptions The options to configure the HTTP request before HTTP client sends it.
+     * @throws HttpResponseException thrown if the request is rejected by server.
+     * @return the response of entire anomaly detection along with {@link Response} on successful completion of {@link
+     *     Mono}.
+     */
+    @Generated
+    @ServiceMethod(returns = ReturnType.SINGLE)
+    public Mono<Response<BinaryData>> detectEntireSeriesWithResponse(BinaryData body, RequestOptions requestOptions) {
+        return this.serviceClient.detectEntireSeriesWithResponseAsync(body, requestOptions);
+    }
+
+    /**
+     * This operation generates a model using points before the latest one. With this method, only historical points are
+     * used to determine whether the target point is an anomaly. The latest point detecting operation matches the
+     * scenario of real-time monitoring of business metrics.
+     *
+     * <p><strong>Request Body Schema</strong>
+     *
+     * <pre>{@code
+     * {
+     *     series: [
+     *         {
+     *             timestamp: String
+     *             value: float
+     *         }
+     *     ]
+     *     granularity: String(yearly/monthly/weekly/daily/hourly/minutely/secondly/microsecond/none)
+     *     customInterval: Integer
+     *     period: Integer
+     *     maxAnomalyRatio: Float
+     *     sensitivity: Integer
+     *     imputeMode: String(auto/previous/linear/fixed/zero/notFill)
+     *     imputeFixedValue: Float
+     * }
+     * }</pre>
+     *
+     * <p><strong>Response Body Schema</strong>
+     *
+     * <pre>{@code
+     * {
+     *     period: int
+     *     suggestedWindow: int
+     *     expectedValue: float
+     *     upperMargin: float
+     *     lowerMargin: float
+     *     isAnomaly: boolean
+     *     isNegativeAnomaly: boolean
+     *     isPositiveAnomaly: boolean
+     *     severity: Float
+     * }
+     * }</pre>
+     *
+     * @param body Time series points and period if needed. Advanced model parameters can also be set in the request.
+     * @param requestOptions The options to configure the HTTP request before HTTP client sends it.
+     * @throws HttpResponseException thrown if the request is rejected by server.
+     * @return the response of last anomaly detection along with {@link Response} on successful completion of {@link
+     *     Mono}.
+     */
+    @Generated
+    @ServiceMethod(returns = ReturnType.SINGLE)
+    public Mono<Response<BinaryData>> detectLastPointWithResponse(BinaryData body, RequestOptions requestOptions) {
+        return this.serviceClient.detectLastPointWithResponseAsync(body, requestOptions);
+    }
+
+    /**
+     * Evaluate change point score of every series point.
+     *
+     * <p><strong>Request Body Schema</strong>
+     *
+     * <pre>{@code
+     * {
+     *     series: [
+     *         {
+     *             timestamp: String
+     *             value: float
+     *         }
+     *     ]
+     *     granularity: String(yearly/monthly/weekly/daily/hourly/minutely/secondly/microsecond/none)
+     *     customInterval: Integer
+     *     period: Integer
+     *     stableTrendWindow: Integer
+     *     threshold: Float
+     * }
+     * }</pre>
+     *
+     * <p><strong>Response Body Schema</strong>
+     *
+     * <pre>{@code
+     * {
+     *     period: Integer
+     *     isChangePoint: [
+     *         boolean
+     *     ]
+     *     confidenceScores: [
+     *         float
+     *     ]
+     * }
+     * }</pre>
+     *
+     * @param body Time series points and granularity is needed. Advanced model parameters can also be set in the
+     *     request if needed.
+     * @param requestOptions The options to configure the HTTP request before HTTP client sends it.
+     * @throws HttpResponseException thrown if the request is rejected by server.
+     * @return the response of change point detection along with {@link Response} on successful completion of {@link
+     *     Mono}.
+     */
+    @Generated
+    @ServiceMethod(returns = ReturnType.SINGLE)
+    public Mono<Response<BinaryData>> detectChangePointWithResponse(BinaryData body, RequestOptions requestOptions) {
+        return this.serviceClient.detectChangePointWithResponseAsync(body, requestOptions);
+    }
+}