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 logging
import sys
from is_common.logging import LogManager
from gql import gql, Client
from gql.transport.aiohttp import AIOHTTPTransport
from gql.transport.aiohttp import log as requests_logger
requests_logger.setLevel(logging.WARNING)
logger = LogManager(config={"app-log-level": "INFO"})
def main(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)