文档 AWS SDK 示例 GitHub 存储库中还有更多 [S AWS DK 示例](https://github.com/awsdocs/aws-doc-sdk-examples)。
本文属于机器翻译版本。若本译文内容与英语原文存在差异，则一律以英文原文为准。
# `DescribeAnomalyDetectors`与 AWS SDK 或 CLI 配合使用
以下代码示例演示如何使用 `DescribeAnomalyDetectors`。
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)
------
#### [ .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。
```
///
/// Describe anomaly detectors for a metric and namespace.
///
/// The namespace of the metric.
/// The metric of the anomaly detectors.
/// The list of detectors.
public async Task> DescribeAnomalyDetectors(string metricNamespace, string metricName)
{
List detectors = new List();
var paginatedDescribeAnomalyDetectors = _amazonCloudWatch.Paginators.DescribeAnomalyDetectors(
new DescribeAnomalyDetectorsRequest()
{
MetricName = metricName,
Namespace = metricNamespace
});
await foreach (var data in paginatedDescribeAnomalyDetectors.AnomalyDetectors)
{
detectors.Add(data);
}
return detectors;
}
```
+ 有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[DescribeAnomalyDetectors](https://docs.aws.amazon.com/goto/DotNetSDKV4/monitoring-2010-08-01/DescribeAnomalyDetectors)*中的。
------
#### [ CLI ]
**AWS CLI**
**检索异常检测模型的列表**
以下 `describe-anomaly-detectors` 示例显示了有关与指定账户中 `AWS/Logs` 命名空间关联的异常检测器模型的信息。
```
aws cloudwatch describe-anomaly-detectors \
--namespace AWS/Logs
```
输出：
```
{
"AnomalyDetectors": [
{
"Namespace": "AWS/Logs",
"MetricName": "IncomingBytes",
"Dimensions": [],
"Stat": "SampleCount",
"Configuration": {
"ExcludedTimeRanges": []
},
"StateValue": "TRAINED",
"SingleMetricAnomalyDetector": {
"AccountId": "123456789012",
"Namespace": "AWS/Logs",
"MetricName": "IncomingBytes",
"Dimensions": [],
"Stat": "SampleCount"
}
},
{
"Namespace": "AWS/Logs",
"MetricName": "IncomingBytes",
"Dimensions": [
{
"Name": "LogGroupName",
"Value": "demo"
}
],
"Stat": "Average",
"Configuration": {
"ExcludedTimeRanges": []
},
"StateValue": "PENDING_TRAINING",
"SingleMetricAnomalyDetector": {
"AccountId": "123456789012",
"Namespace": "AWS/Logs",
"MetricName": "IncomingBytes",
"Dimensions": [
{
"Name": "LogGroupName",
"Value": "demo"
}
],
"Stat": "Average"
}
}
]
}
```
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[DescribeAnomalyDetectors](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudwatch/describe-anomaly-detectors.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。
```
/**
* Describes the anomaly detectors based on the specified JSON file.
*
* @param fileName the name of the JSON file containing the custom metric namespace and name
* @return a {@link CompletableFuture} that completes when the anomaly detectors have been described
* @throws RuntimeException if there is a failure during the operation, such as when reading or parsing the JSON file,
* or when describing the anomaly detectors
*/
public CompletableFuture describeAnomalyDetectorsAsync(String fileName) {
CompletableFuture readFileFuture = CompletableFuture.supplyAsync(() -> {
try {
JsonParser parser = new JsonFactory().createParser(new File(fileName));
return new ObjectMapper().readTree(parser);
} 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();
DescribeAnomalyDetectorsRequest detectorsRequest = DescribeAnomalyDetectorsRequest.builder()
.maxResults(10)
.metricName(customMetricName)
.namespace(customMetricNamespace)
.build();
return getAsyncClient().describeAnomalyDetectors(detectorsRequest).thenAccept(response -> {
List anomalyDetectorList = response.anomalyDetectors();
for (AnomalyDetector detector : anomalyDetectorList) {
logger.info("Metric name: {} ", detector.singleMetricAnomalyDetector().metricName());
logger.info("State: {} ", detector.stateValue());
}
});
} catch (RuntimeException e) {
throw new RuntimeException("Failed to describe anomaly detectors", e);
}
}).whenComplete((result, exception) -> {
if (exception != null) {
throw new RuntimeException("Error describing anomaly detectors", exception);
}
});
}
```
+ 有关 API 的详细信息，请参阅 *AWS SDK for Java 2.x API 参考[DescribeAnomalyDetectors](https://docs.aws.amazon.com/goto/SdkForJavaV2/monitoring-2010-08-01/DescribeAnomalyDetectors)*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 describeAnomalyDetectors(fileName: String) {
// Read values from the JSON file.
val parser = JsonFactory().createParser(File(fileName))
val rootNode = ObjectMapper().readTree(parser)
val customMetricNamespace = rootNode.findValue("customMetricNamespace").asText()
val customMetricName = rootNode.findValue("customMetricName").asText()
val detectorsRequest =
DescribeAnomalyDetectorsRequest {
maxResults = 10
metricName = customMetricName
namespace = customMetricNamespace
}
CloudWatchClient.fromEnvironment { region = "us-east-1" }.use { cwClient ->
val response = cwClient.describeAnomalyDetectors(detectorsRequest)
response.anomalyDetectors?.forEach { detector ->
println("Metric name: ${detector.singleMetricAnomalyDetector?.metricName}")
println("State: ${detector.stateValue}")
}
}
}
```
+ 有关 API 的详细信息，请参阅适用[DescribeAnomalyDetectors](https://sdk.amazonaws.com/kotlin/api/latest/index.html)于 K *otlin 的AWS SDK API 参考*。
------