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# `PutAnomalyDetector`与 AWS SDK 或 CLI 配合使用
<a name="cloudwatch_example_cloudwatch_PutAnomalyDetector_section"></a>

以下代码示例演示如何使用 `PutAnomalyDetector`。

操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+  [了解基本功能](cloudwatch_example_cloudwatch_GetStartedMetricsDashboardsAlarms_section.md) 

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#### [ .NET ]

**适用于 .NET 的 SDK (v4)**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv4/CloudWatch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    /// <summary>
    /// Add an anomaly detector for a single metric.
    /// </summary>
    /// <param name="anomalyDetector">A single metric anomaly detector.</param>
    /// <returns>True if successful.</returns>
    public async Task<bool> PutAnomalyDetector(SingleMetricAnomalyDetector anomalyDetector)
    {
        var putAlarmDetectorResult = await _amazonCloudWatch.PutAnomalyDetectorAsync(
            new PutAnomalyDetectorRequest()
            {
                SingleMetricAnomalyDetector = anomalyDetector
            });

        return putAlarmDetectorResult.HttpStatusCode == HttpStatusCode.OK;
    }
```
+  有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[PutAnomalyDetector](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/PutAnomalyDetector)*中的。

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#### [ CLI ]

**AWS CLI**  
**创建异常检测模型**  
以下`put-anomaly-detector`示例为 CloudWatch 指标创建异常检测模型。  

```
aws cloudwatch put-anomaly-detector \
    --namespace AWS/Logs \
    --metric-name IncomingBytes \
    --stat SampleCount
```
此命令不生成任何输出。  
有关更多信息，请参阅 *Amazon CloudWatch 用户指南*中的[使用 CloudWatch 异常检测](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Anomaly_Detection.html)。  
+  有关 API 的详细信息，请参阅*AWS CLI 命令参考[PutAnomalyDetector](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/put-anomaly-detector.html)*中的。

------
#### [ Java ]

**适用于 Java 的 SDK 2.x**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/cloudwatch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    /**
     * Adds an anomaly detector for the given file.
     *
     * @param fileName the name of the file containing the anomaly detector configuration
     * @return a {@link CompletableFuture} that completes when the anomaly detector has been added
     */
    public CompletableFuture<Void> addAnomalyDetectorAsync(String fileName) {
        CompletableFuture<JsonNode> readFileFuture = CompletableFuture.supplyAsync(() -> {
            try {
                JsonParser parser = new JsonFactory().createParser(new File(fileName));
                return new ObjectMapper().readTree(parser); // Return the root node
            } catch (IOException e) {
                throw new RuntimeException("Failed to read or parse the file", e);
            }
        });

        return readFileFuture.thenCompose(rootNode -> {
            try {
                String customMetricNamespace = rootNode.findValue("customMetricNamespace").asText();
                String customMetricName = rootNode.findValue("customMetricName").asText();

                SingleMetricAnomalyDetector singleMetricAnomalyDetector = SingleMetricAnomalyDetector.builder()
                    .metricName(customMetricName)
                    .namespace(customMetricNamespace)
                    .stat("Maximum")
                    .build();

                PutAnomalyDetectorRequest anomalyDetectorRequest = PutAnomalyDetectorRequest.builder()
                    .singleMetricAnomalyDetector(singleMetricAnomalyDetector)
                    .build();

                return getAsyncClient().putAnomalyDetector(anomalyDetectorRequest).thenAccept(response -> {
                    logger.info("Added anomaly detector for metric {}", customMetricName);
                });
            } catch (Exception e) {
                throw new RuntimeException("Failed to create anomaly detector", e);
            }
        }).whenComplete((result, exception) -> {
            if (exception != null) {
                throw new RuntimeException("Error adding anomaly detector", exception);
            }
        });
    }
```
+  有关 API 的详细信息，请参阅 *AWS SDK for Java 2.x API 参考[PutAnomalyDetector](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/PutAnomalyDetector)*中的。

------
#### [ Kotlin ]

**适用于 Kotlin 的 SDK**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/cloudwatch#code-examples)中查找完整示例，了解如何进行设置和运行。

```
suspend fun addAnomalyDetector(fileName: String?) {
    // Read values from the JSON file.
    val parser = JsonFactory().createParser(File(fileName))
    val rootNode = ObjectMapper().readTree<JsonNode>(parser)
    val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
    val customMetricName = rootNode.findValue("customMetricName").asText()

    val singleMetricAnomalyDetectorVal =
        SingleMetricAnomalyDetector {
            metricName = customMetricName
            namespace = customMetricNamespace
            stat = "Maximum"
        }

    val anomalyDetectorRequest =
        PutAnomalyDetectorRequest {
            singleMetricAnomalyDetector = singleMetricAnomalyDetectorVal
        }

    CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
        cwClient.putAnomalyDetector(anomalyDetectorRequest)
        println("Added anomaly detector for metric $customMetricName.")
    }
}
```
+  有关 API 的详细信息，请参阅适用[PutAnomalyDetector](https://sdk.amazonaws.com/kotlin/api/latest/index.html)于 K *otlin 的AWS SDK API 参考*。

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