Insights are published for buildings, floors (site) and zones (polygon on a floorplan).
All GraphQL APIs are available at https://metrics-api.innrspc.com
Example
The following example uses building_id71, which is the DEMO building.
Python GraphQL
import loggingimport sysfrom is_common.logging import LogManagerfrom gql import gql, Clientfrom gql.transport.aiohttp import AIOHTTPTransportfrom gql.transport.aiohttp import log as requests_loggerrequests_logger.setLevel(logging.WARNING)logger =LogManager(config={"app-log-level": "INFO"})defmain(argv):# Select your transport with a defined url endpoint, using the auth token from above transport = AIOHTTPTransport(url="https://metrics-api.innrspc.com/", headers={"Authorization": "Bearer {access_token}"})
# Create a GraphQL client using the defined transport client =Client(transport=transport, fetch_schema_from_transport=True)# Execute the query on the transport query =""" query sample_graphql { data: building_features( where: {_and: [{building_id: {_eq: 71}}, {feature_name: {_eq: "weekly_frequency_dist"}}, {granularity: {_eq: "P1W"}}, {group_id: {_eq: "all-e707b3a8-0732-49ae-9156-13ff1138540e"}}, {date_time_start: {_gte: "2024-01-01T06:00:00.000Z", _lt: "2024-01-08T06:00:00.000Z"}}]}
) { feature_value date_time_start } } """print(client.execute(gql(query)))if__name__=="__main__":main(sys.argv)