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Using page iterators to retrieve all data points
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#Project details | |
from google.cloud import monitoring_v3 | |
import time | |
client = monitoring_v3.MetricServiceClient() | |
project = 'project_id' #insert your project id | |
project_name = f"projects/{project}" | |
# Calling the list time series API using the Client | |
# for a period specified as interval | |
interval = monitoring_v3.TimeInterval() | |
from datetime import datetime | |
now = time.time() | |
seconds = int(now) | |
nanos = int((now - seconds) * 10 ** 9) | |
SECONDS_IN_A_MONTH = 30*24*60*60 | |
interval = monitoring_v3.TimeInterval( | |
{ | |
"end_time": {"seconds": seconds, "nanos": nanos}, | |
"start_time": {"seconds": (int(now) - SECONDS_IN_A_MONTH ), "nanos": nanos}, | |
} | |
) | |
# Calling API to send list time series data | |
results = client.list_time_series( | |
request={ | |
"name": project_name, | |
"filter": 'metric.type = "compute.googleapis.com/instance/cpu/utilization" \ | |
AND metric.labels.instance_name = "your-instance-name"', | |
"interval": interval, | |
"view": monitoring_v3.ListTimeSeriesRequest.TimeSeriesView.FULL, | |
} | |
) | |
# Appending points from all pages to one list so | |
# so we don't have to make multiple API calls later | |
all_points = [] | |
for page in results.pages: | |
for series in page.time_series: | |
for point in series.points: | |
all_points.append(point) | |
# `all_points` can be used to iterate over points | |
# access the time and corresponding metric value | |
for point in all_points[:10]: | |
print(point.interval.start_time, point.value.double_value) |
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