def sample_get_data_feed(data_feed_id):
# [START get_data_feed]
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential, MetricsAdvisorAdministrationClient
service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
subscription_key = os.getenv("METRICS_ADVISOR_SUBSCRIPTION_KEY")
api_key = os.getenv("METRICS_ADVISOR_API_KEY")
client = MetricsAdvisorAdministrationClient(service_endpoint,
MetricsAdvisorKeyCredential(subscription_key, api_key))
data_feed = client.get_data_feed(data_feed_id)
print("ID: {}".format(data_feed.id))
print("Data feed name: {}".format(data_feed.name))
print("Created time: {}".format(data_feed.created_time))
print("Status: {}".format(data_feed.status))
print("Source type: {}".format(data_feed.source.data_source_type))
print("Granularity type: {}".format(data_feed.granularity.granularity_type))
print("Data feed metrics: {}".format([metric.name for metric in data_feed.schema.metrics]))
print("Data feed dimensions: {}".format([dimension.name for dimension in data_feed.schema.dimensions]))
print("Data feed timestamp column: {}".format(data_feed.schema.timestamp_column))
print("Ingestion data starting on: {}".format(data_feed.ingestion_settings.ingestion_begin_time))
print("Data feed description: {}".format(data_feed.options.data_feed_description))
print("Data feed rollup type: {}".format(data_feed.options.rollup_settings.rollup_type))
print("Data feed rollup method: {}".format(data_feed.options.rollup_settings.rollup_method))
print("Data feed fill setting: {}".format(data_feed.options.missing_data_point_fill_settings.fill_type))
print("Data feed access mode: {}".format(data_feed.options.access_mode))
def sample_update_data_feed(data_feed):
# [START update_data_feed]
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential, MetricsAdvisorAdministrationClient
service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
subscription_key = os.getenv("METRICS_ADVISOR_SUBSCRIPTION_KEY")
api_key = os.getenv("METRICS_ADVISOR_API_KEY")
client = MetricsAdvisorAdministrationClient(
service_endpoint, MetricsAdvisorKeyCredential(subscription_key,
api_key))
# update data feed on the data feed itself or by using available keyword arguments
data_feed.name = "updated name"
data_feed.options.data_feed_description = "updated description for data feed"
client.update_data_feed(data_feed,
access_mode="Public",
fill_type="CustomValue",
custom_fill_value=1)
updated_data_feed = client.get_data_feed(data_feed.id)
print("Updated name: {}".format(updated_data_feed.name))
print("Updated description: {}".format(
updated_data_feed.options.data_feed_description))
print("Updated access mode: {}".format(
updated_data_feed.options.access_mode))
print("Updated fill setting, value: {}, {}".format(
updated_data_feed.options.missing_data_point_fill_settings.fill_type,
updated_data_feed.options.missing_data_point_fill_settings.
custom_fill_value,
))
def sample_delete_data_feed(data_feed_id):
# [START delete_data_feed]
from azure.core.exceptions import ResourceNotFoundError
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential, MetricsAdvisorAdministrationClient
service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
subscription_key = os.getenv("METRICS_ADVISOR_SUBSCRIPTION_KEY")
api_key = os.getenv("METRICS_ADVISOR_API_KEY")
client = MetricsAdvisorAdministrationClient(service_endpoint,
MetricsAdvisorKeyCredential(subscription_key, api_key))
client.delete_data_feed(data_feed_id)
try:
client.get_data_feed(data_feed_id)
except ResourceNotFoundError:
print("Data feed successfully deleted.")
