Cloudwatch get metric data return by period (#3626)
* Cloudwatch get metric data return by period - addresses https://github.com/localstack/localstack/issues/3493 * fix lint issues * remove unused import * added test cases for min max and average
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@ -388,39 +388,62 @@ class CloudWatchBackend(BaseBackend):
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)
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)
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def get_metric_data(self, queries, start_time, end_time):
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def get_metric_data(
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self, queries, start_time, end_time, scan_by="TimestampAscending"
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):
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period_data = [
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md for md in self.metric_data if start_time <= md.timestamp <= end_time
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]
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results = []
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for query in queries:
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period_start_time = start_time
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query_ns = query["metric_stat._metric._namespace"]
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query_name = query["metric_stat._metric._metric_name"]
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query_data = [
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md
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for md in period_data
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if md.namespace == query_ns and md.name == query_name
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]
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metric_values = [m.value for m in query_data]
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delta = timedelta(seconds=int(query["metric_stat._period"]))
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result_vals = []
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timestamps = []
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stat = query["metric_stat._stat"]
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if len(metric_values) > 0:
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if stat == "Average":
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result_vals.append(sum(metric_values) / len(metric_values))
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elif stat == "Minimum":
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result_vals.append(min(metric_values))
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elif stat == "Maximum":
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result_vals.append(max(metric_values))
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elif stat == "Sum":
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result_vals.append(sum(metric_values))
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while period_start_time <= end_time:
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period_end_time = period_start_time + delta
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period_md = [
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period_md
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for period_md in period_data
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if period_start_time <= period_md.timestamp < period_end_time
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]
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query_period_data = [
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md
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for md in period_md
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if md.namespace == query_ns and md.name == query_name
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]
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metric_values = [m.value for m in query_period_data]
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if len(metric_values) > 0:
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if stat == "Average":
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result_vals.append(sum(metric_values) / len(metric_values))
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elif stat == "Minimum":
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result_vals.append(min(metric_values))
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elif stat == "Maximum":
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result_vals.append(max(metric_values))
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elif stat == "Sum":
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result_vals.append(sum(metric_values))
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timestamps.append(
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iso_8601_datetime_without_milliseconds(period_start_time)
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)
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period_start_time += delta
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if scan_by == "TimestampDescending" and len(timestamps) > 0:
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timestamps.reverse()
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result_vals.reverse()
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label = query["metric_stat._metric._metric_name"] + " " + stat
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results.append(
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{
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"id": query["id"],
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"label": label,
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"vals": result_vals,
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"timestamps": [datetime.now() for _ in result_vals],
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"timestamps": timestamps,
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}
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)
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return results
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@ -128,9 +128,11 @@ class CloudWatchResponse(BaseResponse):
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def get_metric_data(self):
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start = dtparse(self._get_param("StartTime"))
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end = dtparse(self._get_param("EndTime"))
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scan_by = self._get_param("ScanBy")
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queries = self._get_list_prefix("MetricDataQueries.member")
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results = self.cloudwatch_backend.get_metric_data(
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start_time=start, end_time=end, queries=queries
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start_time=start, end_time=end, queries=queries, scan_by=scan_by
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)
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template = self.response_template(GET_METRIC_DATA_TEMPLATE)
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@ -678,6 +678,7 @@ def test_get_metric_data_partially_within_timeframe():
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}
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],
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)
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cloudwatch.put_metric_data(
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Namespace=namespace1,
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MetricData=[
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@ -686,31 +687,89 @@ def test_get_metric_data_partially_within_timeframe():
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"Value": 50,
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"Unit": "Seconds",
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"Timestamp": last_week,
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}
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],
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)
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# get_metric_data
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response = cloudwatch.get_metric_data(
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MetricDataQueries=[
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},
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{
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"Id": "result",
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"MetricStat": {
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"Metric": {"Namespace": namespace1, "MetricName": "metric1"},
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"Period": 60,
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"Stat": "Sum",
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},
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}
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"MetricName": "metric1",
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"Value": 10,
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"Unit": "Seconds",
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"Timestamp": last_week + timedelta(seconds=10),
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},
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{
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"MetricName": "metric1",
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"Value": 20,
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"Unit": "Seconds",
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"Timestamp": last_week + timedelta(seconds=15),
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},
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{
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"MetricName": "metric1",
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"Value": 40,
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"Unit": "Seconds",
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"Timestamp": last_week + timedelta(seconds=30),
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},
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],
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StartTime=yesterday - timedelta(seconds=60),
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EndTime=utc_now + timedelta(seconds=60),
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)
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#
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# data for average, min, max
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def get_data(start, end, stat="Sum", scanBy="TimestampAscending"):
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# get_metric_data
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response = cloudwatch.get_metric_data(
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MetricDataQueries=[
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{
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"Id": "result",
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"MetricStat": {
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"Metric": {"Namespace": namespace1, "MetricName": "metric1"},
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"Period": 60,
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"Stat": stat,
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},
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}
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],
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StartTime=start,
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EndTime=end,
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ScanBy=scanBy,
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)
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return response
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response = get_data(
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start=yesterday - timedelta(seconds=60), end=utc_now + timedelta(seconds=60),
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)
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# Assert Last week's data is not returned
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len(response["MetricDataResults"]).should.equal(1)
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sum_ = response["MetricDataResults"][0]
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sum_["Label"].should.equal("metric1 Sum")
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sum_["StatusCode"].should.equal("Complete")
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sum_["Values"].should.equal([30.0])
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sum_["Values"].should.equal([20.0, 10.0])
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response = get_data(
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start=yesterday - timedelta(seconds=60),
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end=utc_now + timedelta(seconds=60),
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scanBy="TimestampDescending",
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)
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response["MetricDataResults"][0]["Values"].should.equal([10.0, 20.0])
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response = get_data(
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start=last_week - timedelta(seconds=1),
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end=utc_now + timedelta(seconds=60),
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stat="Average",
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)
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# assert average
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response["MetricDataResults"][0]["Values"].should.equal([30.0, 20.0, 10.0])
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response = get_data(
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start=last_week - timedelta(seconds=1),
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end=utc_now + timedelta(seconds=60),
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stat="Maximum",
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)
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# assert maximum
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response["MetricDataResults"][0]["Values"].should.equal([50.0, 20.0, 10.0])
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response = get_data(
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start=last_week - timedelta(seconds=1),
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end=utc_now + timedelta(seconds=60),
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stat="Minimum",
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)
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# assert minimum
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response["MetricDataResults"][0]["Values"].should.equal([10.0, 20.0, 10.0])
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@mock_cloudwatch
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