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IoT TS Aggregates Client for Python

Introduction

The IoT TS Aggregates Service allows you to query aggregated time series data. Refer to IoT TS Aggregates for more information about the service.

Further implementation of the IOT TS Aggregate SDK library has been shown in a sample project that you can download and test in local or on mindsphere application. Please refer to this repository: mindsphere-python-sdk-examples

Hint

In the IoT context, assets are referred to as entity and aspects as propertyset.
Placeholders in the following samples are indicated by angular brackets < >.

TS Aggregates Operations

Client name: AggregatesClient

Read Aggregated Time Series

This method returns aggregated data of a specific aspect of an asset from the specified time range. This feature is only available if aspect data is available within the specified time range.

Note

A query can only return up to 200 aggregate intervals in one response.
Aggregates can only be created from up to 5,000 raw time series entries.

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# Import the RestClientConfig and UserToken from mindsphere_core module
from mindsphere_core import RestClientConfig
from mindsphere_core import UserToken

# Import the MindsphereError from mindsphere_core.exceptions module
from mindsphere_core.exceptions import MindsphereError

# Import the AggregatesClient from tsaggregates module
from tsaggregates.clients.aggregates_client import AggregatesClient

# Import all required models from tsaggregates.models
from tsaggregates.models import GetAggregateTimeseriesRequest

# Instantiate the RestClientConfig and UserToken objects
config = RestClientConfig(proxy_host = "<proxy_host>", proxy_port = <proxy_port>)
credentials = UserToken(authorization = "<bearer_token>")

# Create the AggregatesClient object using the RestClientConfig and UserToken objects
aggregatesClient = AggregatesClient(rest_client_config = config, mindsphere_credentials = credentials)

try:
    # Create the request object
    request = GetAggregateTimeseriesRequest(
            _from="<start_time>",
            to="<end_time>",
            interval_value="<inteval_value>",
            interval_unit="<interval_unit>",
            select="<select_value>",
            entity="<entity_id>",
            propertyset="<property_set_name>",
        )

    # Initiate the API call to read time series aggregates
    response = get_aggregate_timeseries(request)

except MindsphereError as err:
    # Exception Handling

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