cloudwatch: filter 'dimensions' for get_metric_data (#5041)
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steffyP
GitHub
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e63fc08db2
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f8c2b621db
@ -41,6 +41,9 @@ class Dimension(object):
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def __ne__(self, item): # Only needed on Py2; Py3 defines it implicitly
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return self != item
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def __lt__(self, other):
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return self.name < other.name and self.value < other.name
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class Metric(object):
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def __init__(self, metric_name, namespace, dimensions):
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@ -478,6 +481,7 @@ class CloudWatchBackend(BaseBackend):
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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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delta = timedelta(seconds=int(query["metric_stat._period"]))
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dimensions = self._extract_dimensions_from_get_metric_data_query(query)
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result_vals = []
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timestamps = []
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stat = query["metric_stat._stat"]
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@ -494,11 +498,19 @@ class CloudWatchBackend(BaseBackend):
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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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if dimensions:
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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 sorted(md.dimensions) == sorted(dimensions)
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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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if stat == "SampleCount":
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result_vals.append(len(metric_values))
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elif 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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@ -679,5 +691,20 @@ class CloudWatchBackend(BaseBackend):
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else:
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return None, metrics
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def _extract_dimensions_from_get_metric_data_query(self, query):
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dimensions = []
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prefix = "metric_stat._metric._dimensions.member."
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suffix_name = "._name"
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suffix_value = "._value"
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counter = 1
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while query.get(f"{prefix}{counter}{suffix_name}") and counter <= 10:
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name = query.get(f"{prefix}{counter}{suffix_name}")
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value = query.get(f"{prefix}{counter}{suffix_value}")
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dimensions.append(Dimension(name=name, value=value))
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counter = counter + 1
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return dimensions
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cloudwatch_backends = BackendDict(CloudWatchBackend, "cloudwatch")
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@ -785,6 +785,114 @@ def test_get_metric_data_for_multiple_metrics():
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res2["Values"].should.equal([25.0])
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@mock_cloudwatch
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def test_get_metric_data_for_dimensions():
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utc_now = datetime.now(tz=pytz.utc)
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cloudwatch = boto3.client("cloudwatch", "eu-west-1")
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namespace = "my_namespace/"
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# If the metric is created with multiple dimensions, then the data points for that metric can be retrieved only by specifying all the configured dimensions.
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# https://aws.amazon.com/premiumsupport/knowledge-center/cloudwatch-getmetricstatistics-data/
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server_prod = {"Name": "Server", "Value": "Prod"}
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dimension_berlin = [server_prod, {"Name": "Domain", "Value": "Berlin"}]
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dimension_frankfurt = [server_prod, {"Name": "Domain", "Value": "Frankfurt"}]
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# put metric data
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cloudwatch.put_metric_data(
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Namespace=namespace,
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MetricData=[
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{
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"MetricName": "metric1",
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"Value": 50,
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"Dimensions": dimension_berlin,
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"Unit": "Seconds",
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"Timestamp": utc_now,
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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=namespace,
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MetricData=[
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{
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"MetricName": "metric1",
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"Value": 25,
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"Unit": "Seconds",
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"Dimensions": dimension_frankfurt,
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"Timestamp": utc_now,
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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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"Id": "result1",
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"MetricStat": {
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"Metric": {
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"Namespace": namespace,
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"MetricName": "metric1",
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"Dimensions": dimension_frankfurt,
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},
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"Period": 60,
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"Stat": "SampleCount",
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},
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},
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{
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"Id": "result2",
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"MetricStat": {
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"Metric": {
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"Namespace": namespace,
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"MetricName": "metric1",
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"Dimensions": dimension_berlin,
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},
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"Period": 60,
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"Stat": "Sum",
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},
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},
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{
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"Id": "result3",
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"MetricStat": {
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"Metric": {
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"Namespace": namespace,
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"MetricName": "metric1",
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"Dimensions": [server_prod],
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},
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"Period": 60,
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"Stat": "Sum",
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},
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},
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{
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"Id": "result4",
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"MetricStat": {
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"Metric": {"Namespace": namespace, "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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],
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StartTime=utc_now - 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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len(response["MetricDataResults"]).should.equal(4)
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res1 = [res for res in response["MetricDataResults"] if res["Id"] == "result1"][0]
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# expect sample count for dimension_frankfurt
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res1["Values"].should.equal([1.0])
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res2 = [res for res in response["MetricDataResults"] if res["Id"] == "result2"][0]
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# expect sum for dimension_berlin
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res2["Values"].should.equal([50.0])
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res3 = [res for res in response["MetricDataResults"] if res["Id"] == "result3"][0]
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# expect no result, as server_prod is only a part of other dimensions, e.g. there is no match
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res3["Values"].should.equal([])
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res4 = [res for res in response["MetricDataResults"] if res["Id"] == "result4"][0]
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# expect sum of both metrics, as we did not filter for dimensions
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res4["Values"].should.equal([75.0])
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@mock_cloudwatch
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@mock_s3
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def test_cloudwatch_return_s3_metrics():
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