def test_put_metric_data_invalid_parameter(aws_client):
time_stamp = datetime.today()
client = MagicMock()
aws_client.return_value = client
client.put_metric_data.side_effect = mock_client_error(
op="PutMetricData",
Code="InvalidParameterValueException",
Message="An error occurred when calling PutMetricData",
)
with pytest.raises(FailedActivity) as x:
put_metric_data(
namespace="TestMetricNamespace",
metric_data=[{
"MetricName":
"MemoryUtilization",
"Dimensions": [{
"Name": "InstanceId",
"Value": "i-000000000000"
}],
"Timestamp":
time_stamp,
"Value":
85.568945236,
"Unit":
"InvalidUnit",
"StorageResolution":
60,
}],
)
assert "An error occurred when calling PutMetricData" in str(x)
def test_put_metric_data_invalid_parameter(aws_client):
time_stamp = datetime.today()
client = MagicMock()
aws_client.return_value = client
client.put_metric_data.side_effect = mock_client_error(
op='PutMetricData',
Code='InvalidParameterValueException',
Message='An error occurred when calling PutMetricData')
with pytest.raises(FailedActivity) as x:
put_metric_data(namespace='TestMetricNamespace',
metric_data=[{
'MetricName':
'MemoryUtilization',
'Dimensions': [{
'Name': 'InstanceId',
'Value': 'i-000000000000'
}],
'Timestamp':
time_stamp,
'Value':
85.568945236,
'Unit':
'InvalidUnit',
'StorageResolution':
60
}])
assert 'An error occurred when calling PutMetricData' in str(x)
def test_put_metric_data_valid_multi_datapoints(aws_client):
time_stamp = datetime.today()
client = MagicMock()
aws_client.return_value = client
client.put_metric_data.return_value = None
put_metric_data(
namespace="TestMetricNamespace",
metric_data=[{
"MetricName":
"MemoryUtilization",
"Dimensions": [{
"Name": "InstanceId",
"Value": "i-000000000000"
}],
"Timestamp":
time_stamp,
"Values": [5.5, 10.2, 6.5],
"Counts": [1, 3, 2.6],
"Unit":
"Percent",
"StorageResolution":
60,
}],
)
client.put_metric_data.assert_called_with(
Namespace="TestMetricNamespace",
MetricData=[{
"MetricName":
"MemoryUtilization",
"Dimensions": [{
"Name": "InstanceId",
"Value": "i-000000000000"
}],
"Timestamp":
time_stamp,
"Values": [5.5, 10.2, 6.5],
"Counts": [1, 3, 2.6],
"Unit":
"Percent",
"StorageResolution":
60,
}],
)
def test_put_metric_data_valid_multi_datapoints(aws_client):
time_stamp = datetime.today()
client = MagicMock()
aws_client.return_value = client
client.put_metric_data.return_value = None
put_metric_data(namespace='TestMetricNamespace',
metric_data=[{
'MetricName':
'MemoryUtilization',
'Dimensions': [{
'Name': 'InstanceId',
'Value': 'i-000000000000'
}],
'Timestamp':
time_stamp,
'Values': [5.5, 10.2, 6.5],
'Counts': [1, 3, 2.6],
'Unit':
'Percent',
'StorageResolution':
60
}])
client.put_metric_data.assert_called_with(Namespace='TestMetricNamespace',
MetricData=[{
'MetricName':
'MemoryUtilization',
'Dimensions': [{
'Name':
'InstanceId',
'Value':
'i-000000000000'
}],
'Timestamp':
time_stamp,
'Values': [5.5, 10.2, 6.5],
'Counts': [1, 3, 2.6],
'Unit':
'Percent',
'StorageResolution':
60
}])
def test_put_metric_data_valid_single_datapoint(aws_client):
client = MagicMock()
aws_client.return_value = client
client.put_metric_data.return_value = None
time_stamp_1 = datetime.today() - timedelta(minutes=2)
time_stamp_2 = datetime.today()
put_metric_data(
namespace="TestMetricNamespace",
metric_data=[
{
"MetricName": "MemoryUtilization",
"Dimensions": [{
"Name": "InstanceId",
"Value": "i-000000000000"
}],
"Timestamp": time_stamp_1,
"Value": 85.568945236,
"Unit": "Percent",
"StorageResolution": 60,
},
{
"MetricName": "MemoryUtilization",
"Dimensions": [{
"Name": "InstanceId",
"Value": "i-000000000000"
}],
"Timestamp": time_stamp_2,
"Value": 89.6854,
"Unit": "Percent",
"StorageResolution": 60,
},
],
)
client.put_metric_data.assert_called_with(
Namespace="TestMetricNamespace",
MetricData=[
{
"MetricName": "MemoryUtilization",
"Dimensions": [{
"Name": "InstanceId",
"Value": "i-000000000000"
}],
"Timestamp": time_stamp_1,
"Value": 85.568945236,
"Unit": "Percent",
"StorageResolution": 60,
},
{
"MetricName": "MemoryUtilization",
"Dimensions": [{
"Name": "InstanceId",
"Value": "i-000000000000"
}],
"Timestamp": time_stamp_2,
"Value": 89.6854,
"Unit": "Percent",
"StorageResolution": 60,
},
],
)
def test_put_metric_data_valid_single_datapoint(aws_client):
client = MagicMock()
aws_client.return_value = client
client.put_metric_data.return_value = None
time_stamp_1 = datetime.today() - timedelta(minutes=2)
time_stamp_2 = datetime.today()
put_metric_data(namespace='TestMetricNamespace',
metric_data=[{
'MetricName':
'MemoryUtilization',
'Dimensions': [{
'Name': 'InstanceId',
'Value': 'i-000000000000'
}],
'Timestamp':
time_stamp_1,
'Value':
85.568945236,
'Unit':
'Percent',
'StorageResolution':
60
}, {
'MetricName':
'MemoryUtilization',
'Dimensions': [{
'Name': 'InstanceId',
'Value': 'i-000000000000'
}],
'Timestamp':
time_stamp_2,
'Value':
89.6854,
'Unit':
'Percent',
'StorageResolution':
60
}])
client.put_metric_data.assert_called_with(Namespace='TestMetricNamespace',
MetricData=[{
'MetricName':
'MemoryUtilization',
'Dimensions': [{
'Name':
'InstanceId',
'Value':
'i-000000000000'
}],
'Timestamp':
time_stamp_1,
'Value':
85.568945236,
'Unit':
'Percent',
'StorageResolution':
60
}, {
'MetricName':
'MemoryUtilization',
'Dimensions': [{
'Name':
'InstanceId',
'Value':
'i-000000000000'
}],
'Timestamp':
time_stamp_2,
'Value':
89.6854,
'Unit':
'Percent',
'StorageResolution':
60
}])