CreateAssetModel与 AWS SDK 或 CLI 配合使用

PDF

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 示例创建一个资产模型，该模型使用下列属性定义了一个风电涡轮机：

序列号-风力涡轮机的序列号发电量-风力涡轮机产生的功率数据流温度C-风力涡轮机的温度数据流以 CelsiusTemperature F 为单位-映射的温度数据点从摄氏度到华氏度不等

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。

• 有关 API 的详细信息，请参阅AWS CLI 命令参考CreateAssetModel中的。

Java

适用于 Java 的 SDK 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 的详细信息，请参阅 AWS SDK for Java 2.x API 参考CreateAssetModel中的。

JavaScript

适用于 JavaScript (v3) 的软件开发工具包

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。

import {
  CreateAssetModelCommand,
  IoTSiteWiseClient,
} from "@aws-sdk/client-iotsitewise";
import { parseArgs } from "node:util";

/**
 * Create an Asset Model.
 * @param {{ assetName : string, assetModelId: string }}
 */
export const main = async ({ assetModelName, assetModelId }) => {
  const client = new IoTSiteWiseClient({});
  try {
    const result = await client.send(
      new CreateAssetModelCommand({
        assetModelName: assetModelName, // The name to give the Asset Model.
      }),
    );
    console.log("Asset model created successfully.");
    return result;
  } catch (caught) {
    if (caught instanceof Error && caught.name === "IoTSiteWiseError") {
      console.warn(
        `${caught.message}. There was a problem creating the asset model.`,
      );
    } else {
      throw caught;
    }
  }
};

• 有关 API 的详细信息，请参阅 AWS SDK for JavaScript API 参考CreateAssetModel中的。

Python

适用于 Python 的 SDK（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 的详细信息，请参阅适用CreateAssetModel于 Python 的AWS SDK (Boto3) API 参考。