def test_query_invalid_statistics(self, boto3, config, query_dict,
response):
query_dict.update({'statistics': 'foo'})
query = CWDataSource.METRIC_QUERY_CLS(**query_dict)
cw = CWDataSource(config)
with pytest.raises(InvalidMetricQuery):
datapoints = cw.datapoints(query)
def test_boto3_raises_exceptions_fail(self, boto3, config):
boto3.session.Session.side_effect = PartialCredentialsError(
provider=Mock(), cred_var=Mock())
assert CWDataSource(config).test() == False
boto3.session.Session.side_effect = ClientError(MagicMock(), Mock())
assert CWDataSource(config).test() == False
boto3.session.Session.side_effect = NoRegionError()
assert CWDataSource(config).test() == False
def test_raises_boto3clienterror(self, boto3, config):
boto3.session.Session.side_effect = PartialCredentialsError(
provider=Mock(), cred_var=Mock())
with pytest.raises(Boto3ClientError):
CWDataSource(config)._cw_client()
boto3.session.Session.side_effect = ClientError(MagicMock(), Mock())
with pytest.raises(Boto3ClientError):
CWDataSource(config)._cw_client()
boto3.session.Session.side_effect = NoRegionError()
with pytest.raises(Boto3ClientError):
CWDataSource(config)._cw_client()
def test_query_maxdatapoints(self, boto3, config, query_dict):
query = CWDataSource.METRIC_QUERY_CLS(**query_dict)
cw = CWDataSource(config)
datapoints = cw.datapoints(query, maxdatapoints=100)
boto3.session.Session.return_value.client.return_value.\
get_metric_statistics.assert_called_with(
Namespace='AWS/EC2', MetricName='CPUUtillization',
StartTime=datetime.strptime(query.since, '%Y-%m-%dT%H:%M:%S'),
EndTime=datetime.strptime(query.until, '%Y-%m-%dT%H:%M:%S'), Period=480,
Dimensions=[{'Name': 'AutoScalingGroupName', 'Value': 'foo'}],
Statistics=['Average']
)
def test_query_maxdatapoints(self, boto3, config, query_dict):
query = CWDataSource.METRIC_QUERY_CLS(**query_dict)
cw = CWDataSource(config)
datapoints = cw.datapoints(query, maxdatapoints=100)
boto3.session.Session.return_value.client.return_value.get_metric_statistics.assert_called_with(
Namespace="AWS/EC2",
MetricName="CPUUtillization",
StartTime=datetime.strptime(query.since, "%Y-%m-%dT%H:%M:%S"),
EndTime=datetime.strptime(query.until, "%Y-%m-%dT%H:%M:%S"),
Period=480,
Dimensions=[{"Name": "AutoScalingGroupName", "Value": "foo"}],
Statistics=["Average"],
)
def config_options():
return CWDataSource.DATA_SOURCE_CONFIGURATION_CLS(**{
'type': 'cw',
'name': 'cw',
'region': 'eu-west-1',
'profile': 'sandbox',
})
def test_query(self, boto3, config, query_dict, response):
query = CWDataSource.METRIC_QUERY_CLS(**query_dict)
boto3.session.Session.return_value.client.return_value.\
get_metric_statistics.return_value = response
cw = CWDataSource(config)
datapoints = cw.datapoints(query)
assert len(datapoints) == len(response['Datapoints'])
for idx, i in enumerate(datapoints):
assert i[0] == response['Datapoints'][idx]['Average']
assert i[0] == response['Datapoints'][idx]['Average']
boto3.session.Session.return_value.client.return_value.\
get_metric_statistics.assert_called_with(
Namespace='AWS/EC2', MetricName='CPUUtillization',
StartTime=datetime.strptime(query.since, '%Y-%m-%dT%H:%M:%S'),
EndTime=datetime.strptime(query.until, '%Y-%m-%dT%H:%M:%S'), Period=60,
Dimensions=[{'Name': 'AutoScalingGroupName', 'Value': 'foo'}],
Statistics=['Average']
)
def test_query(self, boto3, config, query_dict, response):
query = CWDataSource.METRIC_QUERY_CLS(**query_dict)
boto3.session.Session.return_value.client.return_value.get_metric_statistics.return_value = response
cw = CWDataSource(config)
datapoints = cw.datapoints(query)
assert len(datapoints) == len(response["Datapoints"])
for idx, i in enumerate(datapoints):
assert i[0] == response["Datapoints"][idx]["Average"]
assert i[0] == response["Datapoints"][idx]["Average"]
boto3.session.Session.return_value.client.return_value.get_metric_statistics.assert_called_with(
Namespace="AWS/EC2",
MetricName="CPUUtillization",
StartTime=datetime.strptime(query.since, "%Y-%m-%dT%H:%M:%S"),
EndTime=datetime.strptime(query.until, "%Y-%m-%dT%H:%M:%S"),
Period=60,
Dimensions=[{"Name": "AutoScalingGroupName", "Value": "foo"}],
Statistics=["Average"],
)
def test_ok(self, boto3, config):
cw = CWDataSource(config)
assert cw.test() == True
def test_cw_client_opitons(self, boto3, config_options):
cw = CWDataSource(config_options)
cw._cw_client()
boto3.session.Session.called_with(region_name='eu-west-1',
profile_name='sandbox')
def test_cw_client(self, boto3, config):
cw = CWDataSource(config)
cw._cw_client()
boto3.session.Session.called_with(None, None)
def config():
return CWDataSource.DATA_SOURCE_CONFIGURATION_CLS(**{
'type': 'cw',
'name': 'cw',
})
def test_ok(self, boto3, config):
cw = CWDataSource(config)
assert cw.test() == True
def test_cw_client_opitons(self, boto3, config_options):
cw = CWDataSource(config_options)
cw._cw_client()
boto3.session.Session.called_with(region_name="eu-west-1", profile_name="sandbox")
def test_cw_client(self, boto3, config):
cw = CWDataSource(config)
cw._cw_client()
boto3.session.Session.called_with(None, None)
def test_query_invalid_statistics(self, boto3, config, query_dict, response):
query_dict.update({"statistics": "foo"})
query = CWDataSource.METRIC_QUERY_CLS(**query_dict)
cw = CWDataSource(config)
with pytest.raises(InvalidMetricQuery):
datapoints = cw.datapoints(query)
