def test_write_point(self):
import datetime
PATH = '/projects/{project}/timeSeries/'.format(project=PROJECT)
client = self._makeOne(project=PROJECT, credentials=_Credentials())
RESOURCE_TYPE = 'gce_instance'
RESOURCE_LABELS = {
'instance_id': '1234567890123456789',
'zone': 'us-central1-f'
}
METRIC_TYPE = 'custom.googleapis.com/my_metric'
METRIC_LABELS = {'status': 'successful'}
connection = client.connection = _Connection({})
METRIC = client.metric(METRIC_TYPE, METRIC_LABELS)
RESOURCE = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)
VALUE = 3.14
TIMESTAMP = datetime.datetime.now()
TIMESERIES = client.time_series(METRIC, RESOURCE, VALUE, TIMESTAMP)
expected_request = {
'method': 'POST',
'path': PATH,
'data': {
'timeSeries': [TIMESERIES._to_dict()]
}
}
client.write_point(METRIC, RESOURCE, VALUE, TIMESTAMP)
request, = connection._requested
self.assertEqual(request, expected_request)
def test_write_point(self):
import datetime
PATH = '/projects/{project}/timeSeries/'.format(project=PROJECT)
client = self._makeOne(project=PROJECT, credentials=_Credentials())
RESOURCE_TYPE = 'gce_instance'
RESOURCE_LABELS = {
'instance_id': '1234567890123456789',
'zone': 'us-central1-f'
}
METRIC_TYPE = 'custom.googleapis.com/my_metric'
METRIC_LABELS = {
'status': 'successful'
}
connection = client.connection = _Connection({})
METRIC = client.metric(METRIC_TYPE, METRIC_LABELS)
RESOURCE = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)
VALUE = 3.14
TIMESTAMP = datetime.datetime.now()
TIMESERIES = client.time_series(METRIC, RESOURCE, VALUE, TIMESTAMP)
expected_request = {'method': 'POST', 'path': PATH,
'data': {'timeSeries': [TIMESERIES._to_dict()]}}
client.write_point(METRIC, RESOURCE, VALUE, TIMESTAMP)
request, = connection._requested
self.assertEqual(request, expected_request)
def test_write_time_series(self):
PATH = '/projects/{project}/timeSeries/'.format(project=PROJECT)
client = self._makeOne(project=PROJECT, credentials=_Credentials())
RESOURCE_TYPE = 'gce_instance'
RESOURCE_LABELS = {
'instance_id': '1234567890123456789',
'zone': 'us-central1-f'
}
METRIC_TYPE = 'custom.googleapis.com/my_metric'
METRIC_LABELS = {
'status': 'successful'
}
METRIC_TYPE2 = 'custom.googleapis.com/count_404s'
METRIC_LABELS2 = {
'request_ip': '127.0.0.1'
}
connection = client.connection = _Connection({})
METRIC = client.metric(METRIC_TYPE, METRIC_LABELS)
METRIC2 = client.metric(METRIC_TYPE2, METRIC_LABELS2)
RESOURCE = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)
TIMESERIES1 = client.time_series(METRIC, RESOURCE, 3)
TIMESERIES2 = client.time_series(METRIC2, RESOURCE, 3.14)
expected_data = {
'timeSeries': [
TIMESERIES1._to_dict(),
TIMESERIES2._to_dict()
]
}
expected_request = {'method': 'POST', 'path': PATH,
'data': expected_data}
client.write_time_series([TIMESERIES1, TIMESERIES2])
request, = connection._requested
self.assertEqual(request, expected_request)
def test_write_time_series(self):
PATH = '/projects/{project}/timeSeries/'.format(project=PROJECT)
client = self._make_one(project=PROJECT, credentials=_Credentials())
RESOURCE_TYPE = 'gce_instance'
RESOURCE_LABELS = {
'instance_id': '1234567890123456789',
'zone': 'us-central1-f'
}
METRIC_TYPE = 'custom.googleapis.com/my_metric'
METRIC_LABELS = {
'status': 'successful'
}
METRIC_TYPE2 = 'custom.googleapis.com/count_404s'
METRIC_LABELS2 = {
'request_ip': '127.0.0.1'
}
connection = client._connection = _Connection({})
METRIC = client.metric(METRIC_TYPE, METRIC_LABELS)
METRIC2 = client.metric(METRIC_TYPE2, METRIC_LABELS2)
RESOURCE = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)
TIMESERIES1 = client.time_series(METRIC, RESOURCE, 3)
TIMESERIES2 = client.time_series(METRIC2, RESOURCE, 3.14)
expected_data = {
'timeSeries': [
TIMESERIES1._to_dict(),
TIMESERIES2._to_dict()
]
}
expected_request = {'method': 'POST', 'path': PATH,
'data': expected_data}
client.write_time_series([TIMESERIES1, TIMESERIES2])
request, = connection._requested
self.assertEqual(request, expected_request)
def test_timeseries_factory_cumulative(self):
import datetime
from google.cloud._helpers import _datetime_to_rfc3339
MY_CUMULATIVE_METRIC = 'custom.googleapis.com/my_cumulative_metric'
METRIC_LABELS = {
'status': 'successful'
}
RESOURCE_TYPE = 'gce_instance'
RESOURCE_LABELS = {
'instance_id': '1234567890123456789',
'zone': 'us-central1-f'
}
client = self._makeOne(project=PROJECT, credentials=_Credentials())
client.connection = _Connection() # For safety's sake.
resource = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)
VALUE = 42
VALUE2 = 43
RESET_TIME = datetime.datetime.utcnow()
TIME1 = datetime.datetime.utcnow()
TIME2 = datetime.datetime.utcnow()
# Construct a couple of time series assuming a cumulative metric.
cumulative_metric = client.metric(MY_CUMULATIVE_METRIC, METRIC_LABELS)
cumulative_timeseries = client.time_series(cumulative_metric,
resource,
VALUE,
start_time=RESET_TIME,
end_time=TIME1)
cumulative_timeseries2 = client.time_series(cumulative_metric,
resource,
VALUE2,
start_time=RESET_TIME,
end_time=TIME2)
RESET_TIME_STR = _datetime_to_rfc3339(RESET_TIME, ignore_zone=False)
TIME1_STR = _datetime_to_rfc3339(TIME1, ignore_zone=False)
TIME2_STR = _datetime_to_rfc3339(TIME2, ignore_zone=False)
self.assertEqual(cumulative_timeseries.points[0].start_time,
RESET_TIME_STR)
self.assertEqual(cumulative_timeseries.points[0].end_time, TIME1_STR)
self.assertEqual(cumulative_timeseries.points[0].value, VALUE)
self.assertEqual(cumulative_timeseries2.points[0].start_time,
RESET_TIME_STR)
self.assertEqual(cumulative_timeseries2.points[0].end_time,
TIME2_STR)
self.assertEqual(cumulative_timeseries2.points[0].value, VALUE2)
def test_timeseries_factory_cumulative(self):
import datetime
from google.cloud._helpers import _datetime_to_rfc3339
MY_CUMULATIVE_METRIC = 'custom.googleapis.com/my_cumulative_metric'
METRIC_LABELS = {
'status': 'successful'
}
RESOURCE_TYPE = 'gce_instance'
RESOURCE_LABELS = {
'instance_id': '1234567890123456789',
'zone': 'us-central1-f'
}
client = self._make_one(project=PROJECT, credentials=_Credentials())
client._connection = _Connection() # For safety's sake.
resource = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)
VALUE = 42
VALUE2 = 43
RESET_TIME = datetime.datetime.utcnow()
TIME1 = datetime.datetime.utcnow()
TIME2 = datetime.datetime.utcnow()
# Construct a couple of time series assuming a cumulative metric.
cumulative_metric = client.metric(MY_CUMULATIVE_METRIC, METRIC_LABELS)
cumulative_timeseries = client.time_series(cumulative_metric,
resource,
VALUE,
start_time=RESET_TIME,
end_time=TIME1)
cumulative_timeseries2 = client.time_series(cumulative_metric,
resource,
VALUE2,
start_time=RESET_TIME,
end_time=TIME2)
RESET_TIME_STR = _datetime_to_rfc3339(RESET_TIME, ignore_zone=False)
TIME1_STR = _datetime_to_rfc3339(TIME1, ignore_zone=False)
TIME2_STR = _datetime_to_rfc3339(TIME2, ignore_zone=False)
self.assertEqual(cumulative_timeseries.points[0].start_time,
RESET_TIME_STR)
self.assertEqual(cumulative_timeseries.points[0].end_time, TIME1_STR)
self.assertEqual(cumulative_timeseries.points[0].value, VALUE)
self.assertEqual(cumulative_timeseries2.points[0].start_time,
RESET_TIME_STR)
self.assertEqual(cumulative_timeseries2.points[0].end_time,
TIME2_STR)
self.assertEqual(cumulative_timeseries2.points[0].value, VALUE2)
def test_timeseries_factory_gauge(self):
import datetime
from unit_tests._testing import _Monkey
import google.cloud.monitoring.client
from google.cloud._helpers import _datetime_to_rfc3339
METRIC_TYPE = 'custom.googleapis.com/my_metric'
METRIC_LABELS = {'status': 'successful'}
RESOURCE_TYPE = 'gce_instance'
RESOURCE_LABELS = {
'instance_id': '1234567890123456789',
'zone': 'us-central1-f'
}
VALUE = 42
TIME1 = datetime.datetime.utcnow()
TIME1_STR = _datetime_to_rfc3339(TIME1, ignore_zone=False)
client = self._makeOne(project=PROJECT, credentials=_Credentials())
client.connection = _Connection() # For safety's sake.
metric = client.metric(METRIC_TYPE, METRIC_LABELS)
resource = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)
# Construct a time series assuming a gauge metric.
timeseries = client.time_series(metric,
resource,
VALUE,
end_time=TIME1)
self.assertEqual(timeseries.metric, metric)
self.assertEqual(timeseries.resource, resource)
self.assertEqual(len(timeseries.points), 1)
self.assertEqual(timeseries.points[0].value, VALUE)
self.assertIsNone(timeseries.points[0].start_time)
self.assertEqual(timeseries.points[0].end_time, TIME1_STR)
TIME2 = datetime.datetime.utcnow()
TIME2_STR = _datetime_to_rfc3339(TIME2, ignore_zone=False)
# Construct a time series assuming a gauge metric using the current
# time
with _Monkey(google.cloud.monitoring.client, _UTCNOW=lambda: TIME2):
timeseries_no_end = client.time_series(metric, resource, VALUE)
self.assertEqual(timeseries_no_end.points[0].end_time, TIME2_STR)
self.assertIsNone(timeseries_no_end.points[0].start_time)
def test_timeseries_factory_gauge(self):
import datetime
from google.cloud._testing import _Monkey
import google.cloud.monitoring.client
from google.cloud._helpers import _datetime_to_rfc3339
METRIC_TYPE = 'custom.googleapis.com/my_metric'
METRIC_LABELS = {
'status': 'successful'
}
RESOURCE_TYPE = 'gce_instance'
RESOURCE_LABELS = {
'instance_id': '1234567890123456789',
'zone': 'us-central1-f'
}
VALUE = 42
TIME1 = datetime.datetime.utcnow()
TIME1_STR = _datetime_to_rfc3339(TIME1, ignore_zone=False)
client = self._makeOne(project=PROJECT, credentials=_Credentials())
client.connection = _Connection() # For safety's sake.
metric = client.metric(METRIC_TYPE, METRIC_LABELS)
resource = client.resource(RESOURCE_TYPE, RESOURCE_LABELS)
# Construct a time series assuming a gauge metric.
timeseries = client.time_series(metric, resource, VALUE,
end_time=TIME1)
self.assertEqual(timeseries.metric, metric)
self.assertEqual(timeseries.resource, resource)
self.assertEqual(len(timeseries.points), 1)
self.assertEqual(timeseries.points[0].value, VALUE)
self.assertIsNone(timeseries.points[0].start_time)
self.assertEqual(timeseries.points[0].end_time, TIME1_STR)
TIME2 = datetime.datetime.utcnow()
TIME2_STR = _datetime_to_rfc3339(TIME2, ignore_zone=False)
# Construct a time series assuming a gauge metric using the current
# time
with _Monkey(google.cloud.monitoring.client, _UTCNOW=lambda: TIME2):
timeseries_no_end = client.time_series(metric, resource, VALUE)
self.assertEqual(timeseries_no_end.points[0].end_time, TIME2_STR)
self.assertIsNone(timeseries_no_end.points[0].start_time)
