与 AWS SDK或CreateAssetModel一起使用 CLI - AWS SDK 代码示例

AWS 文档 AWS SDK示例 GitHub 存储库中还有更多SDK示例

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与 AWS SDK或CreateAssetModel一起使用 CLI

以下代码示例演示如何使用 CreateAssetModel

CLI
AWS CLI

创建资产模型

以下create-asset-model示例创建了一个资产模型,该模型定义了具有以下属性的风力涡轮机:

序列号-风力发电的序列号-风力 turbineGenerated 发电产生的功率数据流 turbineTemperature C-风力涡轮机的温度数据流以 CelsiusTemperature F为单位-映射的温度数据指向从摄氏度到华氏度

aws iotsitewise create-asset-model \ --cli-input-json file://create-wind-turbine-model.json

create-wind-turbine-model.json 的内容:

{ "assetModelName": "Wind Turbine Model", "assetModelDescription": "Represents a wind turbine", "assetModelProperties": [ { "name": "Serial Number", "dataType": "STRING", "type": { "attribute": {} } }, { "name": "Generated Power", "dataType": "DOUBLE", "unit": "kW", "type": { "measurement": {} } }, { "name": "Temperature C", "dataType": "DOUBLE", "unit": "Celsius", "type": { "measurement": {} } }, { "name": "Temperature F", "dataType": "DOUBLE", "unit": "Fahrenheit", "type": { "transform": { "expression": "temp_c * 9 / 5 + 32", "variables": [ { "name": "temp_c", "value": { "propertyId": "Temperature C" } } ] } } }, { "name": "Total Generated Power", "dataType": "DOUBLE", "unit": "kW", "type": { "metric": { "expression": "sum(power)", "variables": [ { "name": "power", "value": { "propertyId": "Generated Power" } } ], "window": { "tumbling": { "interval": "1h" } } } } } ] }

输出:

{ "assetModelId": "a1b2c3d4-5678-90ab-cdef-11111EXAMPLE", "assetModelArn": "arn:aws:iotsitewise:us-west-2:123456789012:asset-model/a1b2c3d4-5678-90ab-cdef-11111EXAMPLE", "assetModelStatus": { "state": "CREATING" } }

有关更多信息,请参阅《AWS 物联网 SiteWise 用户指南》中的定义资产模型

Java
SDK适用于 Java 2.x
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

/** * Creates an asset model. * * @param name the name of the asset model to create. * @return a {@link CompletableFuture} that represents a {@link CreateAssetModelResponse} result. The calling code * can attach callbacks, then handle the result or exception by calling {@link CompletableFuture#join()} or * {@link CompletableFuture#get()}. * <p> * If any completion stage in this method throws an exception, the method logs the exception cause and keeps it * available to the calling code as a {@link CompletionException}. By calling * {@link CompletionException#getCause()}, the calling code can access the original exception. */ public CompletableFuture<CreateAssetModelResponse> createAssetModelAsync(String name) { PropertyType humidity = PropertyType.builder() .measurement(Measurement.builder().build()) .build(); PropertyType temperaturePropertyType = PropertyType.builder() .measurement(Measurement.builder().build()) .build(); AssetModelPropertyDefinition temperatureProperty = AssetModelPropertyDefinition.builder() .name("Temperature") .dataType(PropertyDataType.DOUBLE) .type(temperaturePropertyType) .build(); AssetModelPropertyDefinition humidityProperty = AssetModelPropertyDefinition.builder() .name("Humidity") .dataType(PropertyDataType.DOUBLE) .type(humidity) .build(); CreateAssetModelRequest createAssetModelRequest = CreateAssetModelRequest.builder() .assetModelName(name) .assetModelDescription("This is my asset model") .assetModelProperties(temperatureProperty, humidityProperty) .build(); return getAsyncClient().createAssetModel(createAssetModelRequest) .whenComplete((response, exception) -> { if (exception != null) { logger.error("Failed to create asset model: {} ", exception.getCause().getMessage()); } }); }
  • 有关API详细信息,请参阅 “AWS SDK for Java 2.x API参考 CreateAssetModel” 中的。

Python
SDK适用于 Python (Boto3)
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

class IoTSitewiseWrapper: """Encapsulates AWS IoT SiteWise actions using the client interface.""" def __init__(self, iotsitewise_client: client) -> None: """ Initializes the IoTSitewiseWrapper with an AWS IoT SiteWise client. :param iotsitewise_client: A Boto3 AWS IoT SiteWise client. This client provides low-level access to AWS IoT SiteWise services. """ self.iotsitewise_client = iotsitewise_client self.entry_id = 0 # Incremented to generate unique entry IDs for batch_put_asset_property_value. @classmethod def from_client(cls) -> "IoTSitewiseWrapper": """ Creates an IoTSitewiseWrapper instance with a default AWS IoT SiteWise client. :return: An instance of IoTSitewiseWrapper initialized with the default AWS IoT SiteWise client. """ iotsitewise_client = boto3.client("iotsitewise") return cls(iotsitewise_client) def create_asset_model( self, asset_model_name: str, properties: List[Dict[str, Any]] ) -> str: """ Creates an AWS IoT SiteWise Asset Model. :param asset_model_name: The name of the asset model to create. :param properties: The property definitions of the asset model. :return: The ID of the created asset model. """ try: response = self.iotsitewise_client.create_asset_model( assetModelName=asset_model_name, assetModelDescription="This is a sample asset model description.", assetModelProperties=properties, ) asset_model_id = response["assetModelId"] waiter = self.iotsitewise_client.get_waiter("asset_model_active") waiter.wait(assetModelId=asset_model_id) return asset_model_id except ClientError as err: if err.response["Error"]["Code"] == "ResourceAlreadyExistsException": logger.error("Asset model %s already exists.", asset_model_name) else: logger.error( "Error creating asset model %s. Here's why %s", asset_model_name, err.response["Error"]["Message"], ) raise

以下是要传递给函数的属性列表的示例。

properties = [ { "name": temperature_property_name, "dataType": "DOUBLE", "type": { "measurement": {}, }, }, { "name": humidity_property_name, "dataType": "DOUBLE", "type": { "measurement": {}, }, }, ]
  • 有关API详细信息,请参阅CreateAssetModel中的 AWS SDKPython (Boto3) API 参考。