Weitere AWS-SDK-Beispiele sind im GitHub-Repository Beispiele für AWS Doc SDKs
AWS IoT SiteWise-Beispiele unter Verwendung von SDK für Python (Boto3)
Die folgenden Codebeispiele zeigen, wie Sie Aktionen durchführen und gängige Szenarien implementieren, indem Sie AWS SDK für Python (Boto3) mit AWS IoT SiteWise nutzen.
Bei Grundlagen handelt es sich um Codebeispiele, die Ihnen zeigen, wie Sie die wesentlichen Vorgänge innerhalb eines Services ausführen.
Aktionen sind Codeauszüge aus größeren Programmen und müssen im Kontext ausgeführt werden. Während Aktionen Ihnen zeigen, wie Sie einzelne Servicefunktionen aufrufen, können Sie Aktionen im Kontext der zugehörigen Szenarien anzeigen.
Jedes Beispiel enthält einen Link zum vollständigen Quellcode, wo Sie Anweisungen zum Einrichten und Ausführen des Codes im Kodex finden.
Erste Schritte
Die folgenden Codebeispiele zeigen, wie Sie mit der Verwendung von AWS IoT SiteWise beginnen.
- SDK für Python (Boto3)
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Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. import boto3 def hello_iot_sitewise(iot_sitewise_client): """ Use the AWS SDK for Python (Boto3) to create an AWS IoT SiteWise client and list the asset models in your account. This example uses the default settings specified in your shared credentials and config files. :param iot_sitewise_client: A Boto3 AWS IoT SiteWise Client object. This object wraps the low-level AWS IoT SiteWise service API. """ print("Hello, AWS IoT SiteWise! Let's list some of your asset models:\n") paginator = iot_sitewise_client.get_paginator("list_asset_models") page_iterator = paginator.paginate(PaginationConfig={"MaxItems": 10}) asset_model_names: [str] = [] for page in page_iterator: for asset_model in page["assetModelSummaries"]: asset_model_names.append(asset_model["name"]) print(f"{len(asset_model_names)} asset model(s) retrieved.") for asset_model_name in asset_model_names: print(f"\t{asset_model_name}") if __name__ == "__main__": hello_iot_sitewise(boto3.client("iotsitewise"))-
Weitere API-Informationen finden Sie unter ListAssetModels in der API-Referenz zum AWS-SDK für Python (Boto3).
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Themen
Grundlagen
Wie das aussehen kann, sehen Sie am nachfolgenden Beispielcode:
Erstellen Sie ein AWS IoT SiteWise-Komponentenmodell.
Erstellen Sie eine AWS IoT SiteWise-Komponente.
Rufen Sie die Eigenschafts-ID-Werte ab.
Senden Sie Daten an eine AWS IoT SiteWise-Komponente.
Rufen Sie den Wert der AWS IoT SiteWise-Komponenteneigenschaft ab.
Erstellen Sie ein AWS IoT SiteWise-Portal.
Erstellen Sie ein AWS IoT SiteWise-Gateway.
Beschreiben Sie das AWS IoT SiteWise-Gateway.
Löschen Sie die AWS IoT SiteWise-Komponenten.
- SDK für Python (Boto3)
-
Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. Führen Sie ein interaktives Szenario an einem Prompt aus.
class IoTSitewiseGettingStarted: """ A scenario that demonstrates how to use Boto3 to manage IoT physical assets using the AWS IoT SiteWise. """ def __init__( self, iot_sitewise_wrapper: IoTSitewiseWrapper, cloud_formation_resource: ServiceResource, ): self.iot_sitewise_wrapper = iot_sitewise_wrapper self.cloud_formation_resource = cloud_formation_resource self.stack = None self.asset_model_id = None self.asset_id = None self.portal_id = None self.gateway_id = None def run(self) -> None: """ Runs the scenario. """ print( """ AWS IoT SiteWise is a fully managed software-as-a-service (SaaS) that makes it easy to collect, store, organize, and monitor data from industrial equipment and processes. It is designed to help industrial and manufacturing organizations collect data from their equipment and processes, and use that data to make informed decisions about their operations. One of the key features of AWS IoT SiteWise is its ability to connect to a wide range of industrial equipment and systems, including programmable logic controllers (PLCs), sensors, and other industrial devices. It can collect data from these devices and organize it into a unified data model, making it easier to analyze and gain insights from the data. AWS IoT SiteWise also provides tools for visualizing the data, setting up alarms and alerts, and generating reports. Another key feature of AWS IoT SiteWise is its ability to scale to handle large volumes of data. It can collect and store data from thousands of devices and process millions of data points per second, making it suitable for large-scale industrial operations. Additionally, AWS IoT SiteWise is designed to be secure and compliant, with features like role-based access controls, data encryption, and integration with other AWS services for additional security and compliance features. Let's get started... """ ) press_enter_to_continue() print_dashes() print(f"") print( f"Use AWS CloudFormation to create an IAM role that is required for this scenario." ) template_file = IoTSitewiseGettingStarted.get_template_as_string() self.stack = self.deploy_cloudformation_stack( "python-iot-sitewise-basics", template_file ) outputs = self.stack.outputs iam_role = None for output in outputs: if output.get("OutputKey") == "SitewiseRoleArn": iam_role = output.get("OutputValue") if iam_role is None: error_string = f"Failed to retrieve iam_role from CloudFormation stack." logger.error(error_string) raise ValueError(error_string) print(f"The ARN of the IAM role is {iam_role}") print_dashes() print_dashes() print(f"1. Create an AWS SiteWise Asset Model") print( """ An AWS IoT SiteWise Asset Model is a way to represent the physical assets, such as equipment, processes, and systems, that exist in an industrial environment. This model provides a structured and hierarchical representation of these assets, allowing users to define the relationships and values of each asset. This scenario creates two asset model values: temperature and humidity. """ ) press_enter_to_continue() asset_model_name = "MyAssetModel1" temperature_property_name = "temperature" humidity_property_name = "humidity" try: properties = [ { "name": temperature_property_name, "dataType": "DOUBLE", "type": { "measurement": {}, }, }, { "name": humidity_property_name, "dataType": "DOUBLE", "type": { "measurement": {}, }, }, ] self.asset_model_id = self.iot_sitewise_wrapper.create_asset_model( asset_model_name, properties ) print( f"Asset Model successfully created. Asset Model ID: {self.asset_model_id}. " ) except ClientError as err: if err.response["Error"]["Code"] == "ResourceAlreadyExistsException": self.asset_model_id = self.get_model_id_for_model_name(asset_model_name) print( f"Asset Model {asset_model_name} already exists. Asset Model ID: {self.asset_model_id}. " ) else: raise press_enter_to_continue() print_dashes() print(f"2. Create an AWS IoT SiteWise Asset") print( """ The IoT SiteWise model that we just created defines the structure and metadata for your physical assets. Now we create an asset from the asset model. """ ) press_enter_to_continue() self.asset_id = self.iot_sitewise_wrapper.create_asset( "MyAsset1", self.asset_model_id ) print(f"Asset created with ID: {self.asset_id}") press_enter_to_continue() print_dashes() print_dashes() print(f"3. Retrieve the property ID values") print( """ To send data to an asset, we need to get the property ID values. In this scenario, we access the temperature and humidity property ID values. """ ) press_enter_to_continue() property_ids = self.iot_sitewise_wrapper.list_asset_model_properties( self.asset_model_id ) humidity_property_id = None temperature_property_id = None for property_id in property_ids: if property_id.get("name") == humidity_property_name: humidity_property_id = property_id.get("id") elif property_id.get("name") == temperature_property_name: temperature_property_id = property_id.get("id") if humidity_property_id is None or temperature_property_id is None: error_string = f"Failed to retrieve property IDs from Asset Model." logger.error(error_string) raise ValueError(error_string) print(f"The Humidity property Id is {humidity_property_id}") print(f"The Temperature property Id is {temperature_property_id}") press_enter_to_continue() print_dashes() print_dashes() print(f"4. Send data to an AWS IoT SiteWise Asset") print( """ By sending data to an IoT SiteWise Asset, you can aggregate data from multiple sources, normalize the data into a standard format, and store it in a centralized location. This makes it easier to analyze and gain insights from the data. In this example, we generate sample temperature and humidity data and send it to the AWS IoT SiteWise asset. """ ) press_enter_to_continue() values = [ { "propertyId": humidity_property_id, "valueType": "doubleValue", "value": 65.0, }, { "propertyId": temperature_property_id, "valueType": "doubleValue", "value": 23.5, }, ] self.iot_sitewise_wrapper.batch_put_asset_property_value(self.asset_id, values) print(f"Data sent successfully.") press_enter_to_continue() print_dashes() print_dashes() print(f"5. Retrieve the value of the IoT SiteWise Asset property") print( """ IoT SiteWise is an AWS service that allows you to collect, process, and analyze industrial data from connected equipment and sensors. One of the key benefits of reading an IoT SiteWise property is the ability to gain valuable insights from your industrial data. """ ) press_enter_to_continue() property_value = self.iot_sitewise_wrapper.get_asset_property_value( self.asset_id, temperature_property_id ) print(f"The property name is '{temperature_property_name}'.") print( f"The value of this property is: {property_value['value']['doubleValue']}" ) press_enter_to_continue() property_value = self.iot_sitewise_wrapper.get_asset_property_value( self.asset_id, humidity_property_id ) print(f"The property name is '{humidity_property_name}'.") print( f"The value of this property is: {property_value['value']['doubleValue']}" ) press_enter_to_continue() print_dashes() print_dashes() print(f"6. Create an IoT SiteWise Portal") print( """ An IoT SiteWise Portal allows you to aggregate data from multiple industrial sources, such as sensors, equipment, and control systems, into a centralized platform. """ ) press_enter_to_continue() contact_email = q.ask("Enter a contact email for the portal:", q.non_empty) print("Creating the portal. The portal may take a while to become active.") self.portal_id = self.iot_sitewise_wrapper.create_portal( "MyPortal1", iam_role, contact_email ) print(f"Portal created successfully. Portal ID {self.portal_id}") press_enter_to_continue() print_dashes() print_dashes() print(f"7. Describe the Portal") print( """ In this step, we get a description of the portal and display the portal URL. """ ) press_enter_to_continue() portal_description = self.iot_sitewise_wrapper.describe_portal(self.portal_id) print(f"Portal URL: {portal_description['portalStartUrl']}") press_enter_to_continue() print_dashes() print_dashes() print(f"8. Create an IoT SiteWise Gateway") press_enter_to_continue() self.gateway_id = self.iot_sitewise_wrapper.create_gateway( "MyGateway1", "MyThing1" ) print(f"Gateway creation completed successfully. id is {self.gateway_id}") print_dashes() print_dashes() print(f"9. Describe the IoT SiteWise Gateway") press_enter_to_continue() gateway_description = self.iot_sitewise_wrapper.describe_gateway( self.gateway_id ) print(f"Gateway Name: {gateway_description['gatewayName']}") print(f"Gateway ARN: {gateway_description['gatewayArn']}") print(f"Gateway Platform:\n{gateway_description['gatewayPlatform']}") print(f"Gateway Creation Date: {gateway_description['gatewayArn']}") print_dashes() print_dashes() print(f"10. Delete the AWS IoT SiteWise Assets") if q.ask("Would you like to delete the IoT SiteWise Assets? (y/n)", q.is_yesno): self.cleanup() else: print(f"The resources will not be deleted.") print_dashes() print_dashes() print(f"This concludes the AWS IoT SiteWise Scenario") def cleanup(self) -> None: """ Deletes the CloudFormation stack and the resources created for the demo. """ if self.gateway_id is not None: self.iot_sitewise_wrapper.delete_gateway(self.gateway_id) print(f"Deleted gateway with id {self.gateway_id}.") self.gateway_id = None if self.portal_id is not None: self.iot_sitewise_wrapper.delete_portal(self.portal_id) print(f"Deleted portal with id {self.portal_id}.") self.portal_id = None if self.asset_id is not None: self.iot_sitewise_wrapper.delete_asset(self.asset_id) print(f"Deleted asset with id {self.asset_id}.") self.iot_sitewise_wrapper.wait_asset_deleted(self.asset_id) self.asset_id = None if self.asset_model_id is not None: self.iot_sitewise_wrapper.delete_asset_model(self.asset_model_id) print(f"Deleted asset model with id {self.asset_model_id}.") self.asset_model_id = None if self.stack is not None: stack = self.stack self.stack = None self.destroy_cloudformation_stack(stack) def deploy_cloudformation_stack( self, stack_name: str, cfn_template: str ) -> ServiceResource: """ Deploys prerequisite resources used by the scenario. The resources are defined in the associated `SitewiseRoles-template.yaml` AWS CloudFormation script and are deployed as a CloudFormation stack, so they can be easily managed and destroyed. :param stack_name: The name of the CloudFormation stack. :param cfn_template: The CloudFormation template as a string. :return: The CloudFormation stack resource. """ print(f"Deploying CloudFormation stack: {stack_name}.") stack = self.cloud_formation_resource.create_stack( StackName=stack_name, TemplateBody=cfn_template, Capabilities=["CAPABILITY_NAMED_IAM"], ) print(f"CloudFormation stack creation started: {stack_name}") print("Waiting for CloudFormation stack creation to complete...") waiter = self.cloud_formation_resource.meta.client.get_waiter( "stack_create_complete" ) waiter.wait(StackName=stack.name) stack.load() print("CloudFormation stack creation complete.") return stack def destroy_cloudformation_stack(self, stack: ServiceResource) -> None: """ Destroys the resources managed by the CloudFormation stack, and the CloudFormation stack itself. :param stack: The CloudFormation stack that manages the example resources. """ print( f"CloudFormation stack '{stack.name}' is being deleted. This may take a few minutes." ) stack.delete() waiter = self.cloud_formation_resource.meta.client.get_waiter( "stack_delete_complete" ) waiter.wait(StackName=stack.name) print(f"CloudFormation stack '{stack.name}' has been deleted.") @staticmethod def get_template_as_string() -> str: """ Returns a string containing this scenario's CloudFormation template. """ template_file_path = os.path.join(script_dir, "SitewiseRoles-template.yaml") file = open(template_file_path, "r") return file.read() def get_model_id_for_model_name(self, model_name: str) -> str: """ Returns the model ID for the given model name. :param model_name: The name of the model. :return: The model ID. """ model_id = None asset_models = self.iot_sitewise_wrapper.list_asset_models() for asset_model in asset_models: if asset_model["name"] == model_name: model_id = asset_model["id"] break return model_idIoTSitewiseWrapper-Klasse, die Aktionen von AWS IoT SiteWise umschließt.
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 def create_asset(self, asset_name: str, asset_model_id: str) -> str: """ Creates an AWS IoT SiteWise Asset. :param asset_name: The name of the asset to create. :param asset_model_id: The ID of the asset model to associate with the asset. :return: The ID of the created asset. """ try: response = self.iotsitewise_client.create_asset( assetName=asset_name, assetModelId=asset_model_id ) asset_id = response["assetId"] waiter = self.iotsitewise_client.get_waiter("asset_active") waiter.wait(assetId=asset_id) return asset_id except ClientError as err: if err.response["Error"] == "ResourceNotFoundException": logger.error("Asset model %s does not exist.", asset_model_id) else: logger.error( "Error creating asset %s. Here's why %s", asset_name, err.response["Error"]["Message"], ) raise def list_asset_models(self) -> List[Dict[str, Any]]: """ Lists all AWS IoT SiteWise Asset Models. :return: A list of dictionaries containing information about each asset model. """ try: asset_models = [] paginator = self.iotsitewise_client.get_paginator("list_asset_models") pages = paginator.paginate() for page in pages: asset_models.extend(page["assetModelSummaries"]) return asset_models except ClientError as err: logger.error( "Error listing asset models. Here's why %s", err.response["Error"]["Message"], ) raise def list_asset_model_properties(self, asset_model_id: str) -> List[Dict[str, Any]]: """ Lists all AWS IoT SiteWise Asset Model Properties. :param asset_model_id: The ID of the asset model to list values for. :return: A list of dictionaries containing information about each asset model property. """ try: asset_model_properties = [] paginator = self.iotsitewise_client.get_paginator( "list_asset_model_properties" ) pages = paginator.paginate(assetModelId=asset_model_id) for page in pages: asset_model_properties.extend(page["assetModelPropertySummaries"]) return asset_model_properties except ClientError as err: logger.error( "Error listing asset model values. Here's why %s", err.response["Error"]["Message"], ) raise def batch_put_asset_property_value( self, asset_id: str, values: List[Dict[str, str]] ) -> None: """ Sends data to an AWS IoT SiteWise Asset. :param asset_id: The asset ID. :param values: A list of dictionaries containing the values in the form {propertyId : property_id, valueType : [stringValue|integerValue|doubleValue|booleanValue], value : the_value}. """ try: entries = self.properties_to_values(asset_id, values) self.iotsitewise_client.batch_put_asset_property_value(entries=entries) except ClientError as err: if err.response["Error"]["Code"] == "ResourceNotFoundException": logger.error("Asset %s does not exist.", asset_id) else: logger.error( "Error sending data to asset. Here's why %s", err.response["Error"]["Message"], ) raise def properties_to_values( self, asset_id: str, values: list[dict[str, Any]] ) -> list[dict[str, Any]]: """ Utility function to convert a values list to the entries parameter for batch_put_asset_property_value. :param asset_id : The asset ID. :param values : A list of dictionaries containing the values in the form {propertyId : property_id, valueType : [stringValue|integerValue|doubleValue|booleanValue], value : the_value}. :return: An entries list to pass as the 'entries' parameter to batch_put_asset_property_value. """ entries = [] for value in values: epoch_ns = time.time_ns() self.entry_id += 1 if value["valueType"] == "stringValue": property_value = {"stringValue": value["value"]} elif value["valueType"] == "integerValue": property_value = {"integerValue": value["value"]} elif value["valueType"] == "booleanValue": property_value = {"booleanValue": value["value"]} elif value["valueType"] == "doubleValue": property_value = {"doubleValue": value["value"]} else: raise ValueError("Invalid valueType: %s", value["valueType"]) entry = { "entryId": f"{self.entry_id}", "assetId": asset_id, "propertyId": value["propertyId"], "propertyValues": [ { "value": property_value, "timestamp": { "timeInSeconds": int(epoch_ns / 1000000000), "offsetInNanos": epoch_ns % 1000000000, }, } ], } entries.append(entry) return entries def get_asset_property_value( self, asset_id: str, property_id: str ) -> Dict[str, Any]: """ Gets the value of an AWS IoT SiteWise Asset Property. :param asset_id: The ID of the asset. :param property_id: The ID of the property. :return: A dictionary containing the value of the property. """ try: response = self.iotsitewise_client.get_asset_property_value( assetId=asset_id, propertyId=property_id ) return response["propertyValue"] except ClientError as err: if err.response["Error"]["Code"] == "ResourceNotFoundException": logger.error( "Asset %s or property %s does not exist.", asset_id, property_id ) else: logger.error( "Error getting asset property value. Here's why %s", err.response["Error"]["Message"], ) raise def create_portal( self, portal_name: str, iam_role_arn: str, portal_contact_email: str ) -> str: """ Creates an AWS IoT SiteWise Portal. :param portal_name: The name of the portal to create. :param iam_role_arn: The ARN of an IAM role. :param portal_contact_email: The contact email of the portal. :return: The ID of the created portal. """ try: response = self.iotsitewise_client.create_portal( portalName=portal_name, roleArn=iam_role_arn, portalContactEmail=portal_contact_email, ) portal_id = response["portalId"] waiter = self.iotsitewise_client.get_waiter("portal_active") waiter.wait(portalId=portal_id, WaiterConfig={"MaxAttempts": 40}) return portal_id except ClientError as err: if err.response["Error"]["Code"] == "ResourceAlreadyExistsException": logger.error("Portal %s already exists.", portal_name) else: logger.error( "Error creating portal %s. Here's why %s", portal_name, err.response["Error"]["Message"], ) raise def describe_portal(self, portal_id: str) -> Dict[str, Any]: """ Describes an AWS IoT SiteWise Portal. :param portal_id: The ID of the portal to describe. :return: A dictionary containing information about the portal. """ try: response = self.iotsitewise_client.describe_portal(portalId=portal_id) return response except ClientError as err: logger.error( "Error describing portal %s. Here's why %s", portal_id, err.response["Error"]["Message"], ) raise def create_gateway(self, gateway_name: str, my_thing: str) -> str: """ Creates an AWS IoT SiteWise Gateway. :param gateway_name: The name of the gateway to create. :param my_thing: The core device thing name. :return: The ID of the created gateway. """ try: response = self.iotsitewise_client.create_gateway( gatewayName=gateway_name, gatewayPlatform={ "greengrassV2": {"coreDeviceThingName": my_thing}, }, tags={"Environment": "Production"}, ) gateway_id = response["gatewayId"] return gateway_id except ClientError as err: if err.response["Error"]["Code"] == "ResourceAlreadyExistsException": logger.error("Gateway %s already exists.", gateway_name) else: logger.error( "Error creating gateway %s. Here's why %s", gateway_name, err.response["Error"]["Message"], ) raise def describe_gateway(self, gateway_id: str) -> Dict[str, Any]: """ Describes an AWS IoT SiteWise Gateway. :param gateway_id: The ID of the gateway to describe. :return: A dictionary containing information about the gateway. """ try: response = self.iotsitewise_client.describe_gateway(gatewayId=gateway_id) return response except ClientError as err: if err.response["Error"]["Code"] == "ResourceNotFoundException": logger.error("Gateway %s does not exist.", gateway_id) else: logger.error( "Error describing gateway %s. Here's why %s", gateway_id, err.response["Error"]["Message"], ) raise def delete_gateway(self, gateway_id: str) -> None: """ Deletes an AWS IoT SiteWise Gateway. :param gateway_id: The ID of the gateway to delete. """ try: self.iotsitewise_client.delete_gateway(gatewayId=gateway_id) except ClientError as err: if err.response["Error"]["Code"] == "ResourceNotFoundException": logger.error("Gateway %s does not exist.", gateway_id) else: logger.error( "Error deleting gateway %s. Here's why %s", gateway_id, err.response["Error"]["Message"], ) raise def delete_portal(self, portal_id: str) -> None: """ Deletes an AWS IoT SiteWise Portal. :param portal_id: The ID of the portal to delete. """ try: self.iotsitewise_client.delete_portal(portalId=portal_id) except ClientError as err: if err.response["Error"]["Code"] == "ResourceNotFoundException": logger.error("Portal %s does not exist.", portal_id) else: logger.error( "Error deleting portal %s. Here's why %s", portal_id, err.response["Error"]["Message"], ) raise def delete_asset(self, asset_id: str) -> None: """ Deletes an AWS IoT SiteWise Asset. :param asset_id: The ID of the asset to delete. """ try: self.iotsitewise_client.delete_asset(assetId=asset_id) except ClientError as err: logger.error( "Error deleting asset %s. Here's why %s", asset_id, err.response["Error"]["Message"], ) raise def delete_asset_model(self, asset_model_id: str) -> None: """ Deletes an AWS IoT SiteWise Asset Model. :param asset_model_id: The ID of the asset model to delete. """ try: self.iotsitewise_client.delete_asset_model(assetModelId=asset_model_id) except ClientError as err: logger.error( "Error deleting asset model %s. Here's why %s", asset_model_id, err.response["Error"]["Message"], ) raise def wait_asset_deleted(self, asset_id: str) -> None: """ Waits for an AWS IoT SiteWise Asset to be deleted. :param asset_id: The ID of the asset to wait for. """ try: waiter = self.iotsitewise_client.get_waiter("asset_not_exists") waiter.wait(assetId=asset_id) except ClientError as err: logger.error( "Error waiting for asset %s to be deleted. Here's why %s", asset_id, err.response["Error"]["Message"], ) raise
Aktionen
Die folgenden Codebeispiele zeigen, wie BatchPutAssetPropertyValue verwendet wird.
- SDK für Python (Boto3)
-
Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. 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 batch_put_asset_property_value( self, asset_id: str, values: List[Dict[str, str]] ) -> None: """ Sends data to an AWS IoT SiteWise Asset. :param asset_id: The asset ID. :param values: A list of dictionaries containing the values in the form {propertyId : property_id, valueType : [stringValue|integerValue|doubleValue|booleanValue], value : the_value}. """ try: entries = self.properties_to_values(asset_id, values) self.iotsitewise_client.batch_put_asset_property_value(entries=entries) except ClientError as err: if err.response["Error"]["Code"] == "ResourceNotFoundException": logger.error("Asset %s does not exist.", asset_id) else: logger.error( "Error sending data to asset. Here's why %s", err.response["Error"]["Message"], ) raiseEine Hilfsfunktion zum Generieren des Parameters „entries“ aus einer Werteliste.
def properties_to_values( self, asset_id: str, values: list[dict[str, Any]] ) -> list[dict[str, Any]]: """ Utility function to convert a values list to the entries parameter for batch_put_asset_property_value. :param asset_id : The asset ID. :param values : A list of dictionaries containing the values in the form {propertyId : property_id, valueType : [stringValue|integerValue|doubleValue|booleanValue], value : the_value}. :return: An entries list to pass as the 'entries' parameter to batch_put_asset_property_value. """ entries = [] for value in values: epoch_ns = time.time_ns() self.entry_id += 1 if value["valueType"] == "stringValue": property_value = {"stringValue": value["value"]} elif value["valueType"] == "integerValue": property_value = {"integerValue": value["value"]} elif value["valueType"] == "booleanValue": property_value = {"booleanValue": value["value"]} elif value["valueType"] == "doubleValue": property_value = {"doubleValue": value["value"]} else: raise ValueError("Invalid valueType: %s", value["valueType"]) entry = { "entryId": f"{self.entry_id}", "assetId": asset_id, "propertyId": value["propertyId"], "propertyValues": [ { "value": property_value, "timestamp": { "timeInSeconds": int(epoch_ns / 1000000000), "offsetInNanos": epoch_ns % 1000000000, }, } ], } entries.append(entry) return entriesHier ist ein Beispiel für eine Werteliste, die an die Hilfsfunktion übergeben werden kann.
values = [ { "propertyId": humidity_property_id, "valueType": "doubleValue", "value": 65.0, }, { "propertyId": temperature_property_id, "valueType": "doubleValue", "value": 23.5, }, ]-
Weitere API-Informationen finden Sie unter BatchPutAssetPropertyValue in der API-Referenz zum AWS-SDK für Python (Boto3).
-
Die folgenden Codebeispiele zeigen, wie CreateAsset verwendet wird.
- SDK für Python (Boto3)
-
Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. 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(self, asset_name: str, asset_model_id: str) -> str: """ Creates an AWS IoT SiteWise Asset. :param asset_name: The name of the asset to create. :param asset_model_id: The ID of the asset model to associate with the asset. :return: The ID of the created asset. """ try: response = self.iotsitewise_client.create_asset( assetName=asset_name, assetModelId=asset_model_id ) asset_id = response["assetId"] waiter = self.iotsitewise_client.get_waiter("asset_active") waiter.wait(assetId=asset_id) return asset_id except ClientError as err: if err.response["Error"] == "ResourceNotFoundException": logger.error("Asset model %s does not exist.", asset_model_id) else: logger.error( "Error creating asset %s. Here's why %s", asset_name, err.response["Error"]["Message"], ) raise-
Weitere API-Informationen finden Sie unter CreateAsset in der API-Referenz zum AWS-SDK für Python (Boto3).
-
Die folgenden Codebeispiele zeigen, wie CreateAssetModel verwendet wird.
- SDK für Python (Boto3)
-
Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. 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"], ) raiseHier finden Sie ein Beispiel für eine Eigenschaftenliste, die an die Funktion übergeben wird.
properties = [ { "name": temperature_property_name, "dataType": "DOUBLE", "type": { "measurement": {}, }, }, { "name": humidity_property_name, "dataType": "DOUBLE", "type": { "measurement": {}, }, }, ]-
Weitere API-Informationen finden Sie unter CreateAssetModel in der API-Referenz zum AWS-SDK für Python (Boto3).
-
Die folgenden Codebeispiele zeigen, wie CreateGateway verwendet wird.
- SDK für Python (Boto3)
-
Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. 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_gateway(self, gateway_name: str, my_thing: str) -> str: """ Creates an AWS IoT SiteWise Gateway. :param gateway_name: The name of the gateway to create. :param my_thing: The core device thing name. :return: The ID of the created gateway. """ try: response = self.iotsitewise_client.create_gateway( gatewayName=gateway_name, gatewayPlatform={ "greengrassV2": {"coreDeviceThingName": my_thing}, }, tags={"Environment": "Production"}, ) gateway_id = response["gatewayId"] return gateway_id except ClientError as err: if err.response["Error"]["Code"] == "ResourceAlreadyExistsException": logger.error("Gateway %s already exists.", gateway_name) else: logger.error( "Error creating gateway %s. Here's why %s", gateway_name, err.response["Error"]["Message"], ) raise-
Weitere API-Informationen finden Sie unter CreateGateway in der API-Referenz zum AWS-SDK für Python (Boto3).
-
Die folgenden Codebeispiele zeigen, wie CreatePortal verwendet wird.
- SDK für Python (Boto3)
-
Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. 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_portal( self, portal_name: str, iam_role_arn: str, portal_contact_email: str ) -> str: """ Creates an AWS IoT SiteWise Portal. :param portal_name: The name of the portal to create. :param iam_role_arn: The ARN of an IAM role. :param portal_contact_email: The contact email of the portal. :return: The ID of the created portal. """ try: response = self.iotsitewise_client.create_portal( portalName=portal_name, roleArn=iam_role_arn, portalContactEmail=portal_contact_email, ) portal_id = response["portalId"] waiter = self.iotsitewise_client.get_waiter("portal_active") waiter.wait(portalId=portal_id, WaiterConfig={"MaxAttempts": 40}) return portal_id except ClientError as err: if err.response["Error"]["Code"] == "ResourceAlreadyExistsException": logger.error("Portal %s already exists.", portal_name) else: logger.error( "Error creating portal %s. Here's why %s", portal_name, err.response["Error"]["Message"], ) raise-
Weitere API-Informationen finden Sie unter CreatePortal in der API-Referenz zum AWS-SDK für Python (Boto3).
-
Die folgenden Codebeispiele zeigen, wie DeleteAsset verwendet wird.
- SDK für Python (Boto3)
-
Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. 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 delete_asset(self, asset_id: str) -> None: """ Deletes an AWS IoT SiteWise Asset. :param asset_id: The ID of the asset to delete. """ try: self.iotsitewise_client.delete_asset(assetId=asset_id) except ClientError as err: logger.error( "Error deleting asset %s. Here's why %s", asset_id, err.response["Error"]["Message"], ) raise-
Weitere API-Informationen finden Sie unter DeleteAsset in der API-Referenz zum AWS-SDK für Python (Boto3).
-
Die folgenden Codebeispiele zeigen, wie DeleteAssetModel verwendet wird.
- SDK für Python (Boto3)
-
Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. 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 delete_asset_model(self, asset_model_id: str) -> None: """ Deletes an AWS IoT SiteWise Asset Model. :param asset_model_id: The ID of the asset model to delete. """ try: self.iotsitewise_client.delete_asset_model(assetModelId=asset_model_id) except ClientError as err: logger.error( "Error deleting asset model %s. Here's why %s", asset_model_id, err.response["Error"]["Message"], ) raise-
Weitere API-Informationen finden Sie unter DeleteAssetModel in der API-Referenz zum AWS-SDK für Python (Boto3).
-
Die folgenden Codebeispiele zeigen, wie DeleteGateway verwendet wird.
- SDK für Python (Boto3)
-
Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. 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 delete_gateway(self, gateway_id: str) -> None: """ Deletes an AWS IoT SiteWise Gateway. :param gateway_id: The ID of the gateway to delete. """ try: self.iotsitewise_client.delete_gateway(gatewayId=gateway_id) except ClientError as err: if err.response["Error"]["Code"] == "ResourceNotFoundException": logger.error("Gateway %s does not exist.", gateway_id) else: logger.error( "Error deleting gateway %s. Here's why %s", gateway_id, err.response["Error"]["Message"], ) raise-
Weitere API-Informationen finden Sie unter DeleteGateway in der API-Referenz zum AWS-SDK für Python (Boto3).
-
Die folgenden Codebeispiele zeigen, wie DeletePortal verwendet wird.
- SDK für Python (Boto3)
-
Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. 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 delete_portal(self, portal_id: str) -> None: """ Deletes an AWS IoT SiteWise Portal. :param portal_id: The ID of the portal to delete. """ try: self.iotsitewise_client.delete_portal(portalId=portal_id) except ClientError as err: if err.response["Error"]["Code"] == "ResourceNotFoundException": logger.error("Portal %s does not exist.", portal_id) else: logger.error( "Error deleting portal %s. Here's why %s", portal_id, err.response["Error"]["Message"], ) raise-
Weitere API-Informationen finden Sie unter DeletePortal in der API-Referenz zum AWS-SDK für Python (Boto3).
-
Die folgenden Codebeispiele zeigen, wie DescribeGateway verwendet wird.
- SDK für Python (Boto3)
-
Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. 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 describe_gateway(self, gateway_id: str) -> Dict[str, Any]: """ Describes an AWS IoT SiteWise Gateway. :param gateway_id: The ID of the gateway to describe. :return: A dictionary containing information about the gateway. """ try: response = self.iotsitewise_client.describe_gateway(gatewayId=gateway_id) return response except ClientError as err: if err.response["Error"]["Code"] == "ResourceNotFoundException": logger.error("Gateway %s does not exist.", gateway_id) else: logger.error( "Error describing gateway %s. Here's why %s", gateway_id, err.response["Error"]["Message"], ) raise-
Weitere API-Informationen finden Sie unter DescribeGateway in der API-Referenz zum AWS-SDK für Python (Boto3).
-
Die folgenden Codebeispiele zeigen, wie DescribePortal verwendet wird.
- SDK für Python (Boto3)
-
Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. 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_gateway(self, gateway_name: str, my_thing: str) -> str: """ Creates an AWS IoT SiteWise Gateway. :param gateway_name: The name of the gateway to create. :param my_thing: The core device thing name. :return: The ID of the created gateway. """ try: response = self.iotsitewise_client.create_gateway( gatewayName=gateway_name, gatewayPlatform={ "greengrassV2": {"coreDeviceThingName": my_thing}, }, tags={"Environment": "Production"}, ) gateway_id = response["gatewayId"] return gateway_id except ClientError as err: if err.response["Error"]["Code"] == "ResourceAlreadyExistsException": logger.error("Gateway %s already exists.", gateway_name) else: logger.error( "Error creating gateway %s. Here's why %s", gateway_name, err.response["Error"]["Message"], ) raise-
Weitere API-Informationen finden Sie unter DescribePortal in der API-Referenz zum AWS-SDK für Python (Boto3).
-
Die folgenden Codebeispiele zeigen, wie GetAssetPropertyValue verwendet wird.
- SDK für Python (Boto3)
-
Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. 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 get_asset_property_value( self, asset_id: str, property_id: str ) -> Dict[str, Any]: """ Gets the value of an AWS IoT SiteWise Asset Property. :param asset_id: The ID of the asset. :param property_id: The ID of the property. :return: A dictionary containing the value of the property. """ try: response = self.iotsitewise_client.get_asset_property_value( assetId=asset_id, propertyId=property_id ) return response["propertyValue"] except ClientError as err: if err.response["Error"]["Code"] == "ResourceNotFoundException": logger.error( "Asset %s or property %s does not exist.", asset_id, property_id ) else: logger.error( "Error getting asset property value. Here's why %s", err.response["Error"]["Message"], ) raise-
Weitere API-Informationen finden Sie unter GetAssetPropertyValue in der API-Referenz zum AWS-SDK für Python (Boto3).
-
Die folgenden Codebeispiele zeigen, wie ListAssetModels verwendet wird.
- SDK für Python (Boto3)
-
Anmerkung
Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Codebeispiel-Repository
einrichten und ausführen. 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 list_asset_models(self) -> List[Dict[str, Any]]: """ Lists all AWS IoT SiteWise Asset Models. :return: A list of dictionaries containing information about each asset model. """ try: asset_models = [] paginator = self.iotsitewise_client.get_paginator("list_asset_models") pages = paginator.paginate() for page in pages: asset_models.extend(page["assetModelSummaries"]) return asset_models except ClientError as err: logger.error( "Error listing asset models. Here's why %s", err.response["Error"]["Message"], ) raise-
Weitere API-Informationen finden Sie unter ListAssetModels in der API-Referenz zum AWS-SDK für Python (Boto3).
-
