def create():
api = API()
metric_id = 'API_TEST_METRIC'
value = ranint(0, 99)
source = 'foo'
timestamp = datetime.now().strftime('%s')
api.measurement_create(metric_id, value, source, timestamp)
def setUp(self):
self.api = API()
logging.basicConfig(level=logging.DEBUG)
self.name = 'TEST_' + TestUtils.random_string(6)
self.display_name = 'green'
self.display_name_short = 'blue'
self.description = 'magenta'
self.default_aggregate = aggregates.SUM
self.default_resolution = 60000
self.unit = units.DURATION
self.type = 'FOOBAR'
self.is_disabled = False
self.metric = Metric(name=self.name,
display_name=self.display_name,
display_name_short=self.display_name_short,
description=self.description,
default_aggregate=self.default_aggregate,
default_resolution=self.default_resolution,
unit=self.unit,
_type=self.type,
is_disabled=self.is_disabled)
self.api.metric_create_batch([self.metric])
logging.basicConfig(level=logging.INFO)
class Common(object):
def __init__(self, ):
self.api = API()
self.usage_args = ""
# Set our application id from the environment variable
self.app_id = os.environ['TSI_APP_ID']
@staticmethod
def usage(args):
sys.stderr.write("usage: {0} {1}\n".format(os.path.basename(sys.argv[0]), args))
def send_measurements(self, measurements):
"""
Sends measurements using the Measurement API
:param measurements:
:return: None
"""
self.api.measurement_create_batch(measurements)
def run(self):
"""
Main loop
"""
while True:
print("Doing absolutely nothing")
time.sleep(self.interval)
class Common(object):
def __init__(self, ):
self.api = API()
self.usage_args = ""
# Set our application id from the environment variable
self.app_id = os.environ['TSI_APP_ID']
@staticmethod
def usage(args):
sys.stderr.write("usage: {0} {1}\n".format(
os.path.basename(sys.argv[0]), args))
def send_measurements(self, measurements):
"""
Sends measurements using the Measurement API
:param measurements:
:return: None
"""
self.api.measurement_create_batch(measurements)
def run(self):
"""
Main loop
"""
while True:
print("Doing absolutely nothing")
time.sleep(self.interval)
class HostgroupTest(TestCase):
def setUp(self):
self.api = API()
def test_create(self):
self.api.hostgroup_create("test" + TestUtils.random_string(6), ["red", "green", "blue"])
def test_empty_name(self):
try:
self.api.hostgroup_create(None, ["red", "green", "blue"])
except HTTPResponseError as e:
pass
def create_batch():
delay = 30
api = API()
measurements = []
timestamp = int(datetime.now().strftime('%s'))
# skew timestamp by 5 seconds
timestamp = timestamp - delay
measurements.append(Measurement(metric='API_TEST_METRIC', value=randint(0, 99), source='red', timestamp=timestamp))
measurements.append(Measurement(metric='API_TEST_METRIC', value=randint(0, 99), source='green', timestamp=timestamp))
measurements.append(Measurement(metric='API_TEST_METRIC', value=randint(0, 99), source='blue', timestamp=timestamp))
# sleep(float(delay))
api.measurement_create_batch(measurements)
class HostgroupTest(TestCase):
def setUp(self):
self.api = API()
def test_create(self):
self.api.hostgroup_create('test' + TestUtils.random_string(6),
['red', 'green', 'blue'])
def test_empty_name(self):
try:
self.api.hostgroup_create(None, ['red', 'green', 'blue'])
except HTTPResponseError as e:
pass
def __init__(self, email=None, api_token=None):
self._wm = None
self._api = API(email=email, api_token=api_token)
self._buttons = None
self._accelerometers = None
self._measurements = None
self._timestamp = None
def setUp(self):
self.api = API()
logging.basicConfig(level=logging.DEBUG)
self.name = "TEST_" + TestUtils.random_string(6)
self.display_name = "green"
self.display_name_short = "blue"
self.description = "magenta"
self.default_aggregate = aggregates.SUM
self.default_resolution = 60000
self.unit = units.DURATION
self.type = "FOOBAR"
self.is_disabled = False
self.metric = Metric(
name=self.name,
display_name=self.display_name,
display_name_short=self.display_name_short,
description=self.description,
default_aggregate=self.default_aggregate,
default_resolution=self.default_resolution,
unit=self.unit,
_type=self.type,
is_disabled=self.is_disabled,
)
self.api.metric_create_batch([self.metric])
logging.basicConfig(level=logging.INFO)
class ApacheLogfileParser(LogfileParser):
def __init__(self, path=None):
super(ApacheLogfileParser, self).__init__(path)
log_format = r'%h %l %u %t \"%r\" %>s %b \"%{Referer}i\" \"%{User-Agent}\i"'
self.parser = apachelog.parser(log_format)
self.api = API()
logging.basicConfig(level=logging.INFO)
def send_measurements(self, measurements):
"""
Sends measurements to standard out to be read by plugin manager
:param measurements:
:return: None
"""
self.api.measurement_create_batch(measurements)
def parse_line(self):
"""
Parse each of the lines of the Apache HTTP server access log.
:return:
"""
parsed = parse_apache_line(self.parser, self.line)
measurements = []
user_agent = parsed['%{User-Agent}\i"'].replace('/', '')
bytes = int(parsed['%b'])
status_code = parsed['%>s']
properties = {"app_id": self.app_id}
# Split the line by spaces and get the request in the first value
request = parsed['%r'].split(' ')[0]
logging.info("user_agent: {0}, bytes: {1}, request: {2}, status_code: {3}".format(
user_agent, bytes, request, status_code))
measurements.append(Measurement(
metric='HTTP_REQUESTS',
value=1,
source=request,
properties=properties))
measurements.append(Measurement(
metric='HTTP_BYTES',
value=bytes,
source=user_agent,
properties=properties))
self.send_measurements(measurements)
class APIDataSink(DataSink):
def __init__(self, email=None, api_token=None, api_host=None):
super(APIDataSink, self).__init__()
self._api = API(email=email, api_token=api_token, api_host=api_host)
def send_event(self, event):
pass
def send_events(self, events):
pass
def send_measurement(self, measurement):
self._api.measurement_create(metric=measurement.metric,
value=measurement.value,
source=measurement.source,
timestamp=measurement.timestamp,
properties=measurement.properties)
def send_measurements(self, measurements):
self._api.measurement_create_batch(measurements)
def __init__(self, path=None):
super(ApacheLogfileParser, self).__init__(path)
log_format = r'%h %l %u %t \"%r\" %>s %b \"%{Referer}i\" \"%{User-Agent}\i"'
self.parser = apachelog.parser(log_format)
self.api = API()
logging.basicConfig(level=logging.INFO)
def setUp(self):
self.api = API()
class MeasurementTest(TestCase):
def setUp(self):
self.api = API()
def test_measurement_constructor(self):
metric = 'CPU'
value = 0.5
source = 'foobar'
timestamp = int(datetime.now().strftime('%s'))
properties = {"app_id": "red", "source_type": "blue", "origin": "green"}
measurement = Measurement(metric=metric, value=value, source=source,
timestamp=timestamp, properties=properties)
self.assertEqual(metric, measurement.metric)
self.assertEqual(value, measurement.value)
self.assertEqual(source, measurement.source)
self.assertEqual(timestamp, measurement.timestamp)
self.assertEqual(properties, measurement.properties)
def test_measurement_defaults(self):
measurement = Measurement()
self.assertIsNone(measurement.metric)
self.assertIsNone(measurement.value)
self.assertIsNone(measurement.source)
self.assertIsNone(measurement.timestamp)
self.assertIsNone(measurement.properties)
def test_measurement_create(self):
metric_id = 'CPU'
value = 0.75
source = 'API_TEST_SOURCE'
timestamp = int(datetime.now().strftime('%s'))
self.api.measurement_create(metric_id, value, source, timestamp)
def test_measurement_create_datetime(self):
metric_id = 'CPU'
value = 0.75
source = 'API_TEST_SOURCE'
timestamp = datetime.now()
self.api.measurement_create(metric_id, value, source, timestamp)
def test_measurement_create_with_properties(self):
metric_id = 'CPU'
value = 0.75
source = 'API_TEST_SOURCE'
timestamp = int(datetime.now().strftime('%s'))
properties = {"app_id": "red", "source_type": "blue", "origin": "green"}
self.api.measurement_create(metric=metric_id, value=value, source=source,
timestamp=timestamp, properties=properties)
def test_measurement_create_batch(self):
measurements = []
timestamp = int(datetime.now().strftime('%s'))
measurements.append(Measurement(metric='CPU', value=0.5, source='red', timestamp=timestamp))
measurements.append(Measurement(metric='CPU', value=0.6, source='green', timestamp=timestamp))
measurements.append(Measurement(metric='CPU', value=0.7, source='blue', timestamp=timestamp))
self.api.measurement_create_batch(measurements)
def test_measurement_create_batch_datetime(self):
measurements = []
timestamp = datetime.now()
measurements.append(Measurement(metric='CPU', value=0.5, source='red', timestamp=timestamp))
measurements.append(Measurement(metric='CPU', value=0.6, source='green', timestamp=timestamp))
measurements.append(Measurement(metric='CPU', value=0.7, source='blue', timestamp=timestamp))
self.api.measurement_create_batch(measurements)
def test_measurement_create_batch_with_properties(self):
measurements = []
properties = {"app_id": "red", "source_type": "blue", "origin": "green"}
timestamp = int(datetime.now().strftime('%s'))
measurements.append(Measurement(metric='CPU', value=0.5, source='red',
timestamp=timestamp, properties=properties))
measurements.append(Measurement(metric='CPU', value=0.6, source='green',
timestamp=timestamp, properties=properties))
measurements.append(Measurement(metric='CPU', value=0.7, source='blue',
timestamp=timestamp, properties=properties))
self.api.measurement_create_batch(measurements)
def test_measurement_get(self):
metric = 'CPU'
value = 0.0
source = 'API_TEST_SOURCE' + TestUtils.random_string(6)
properties = {"app_id": "red", "source_type": "blue", "origin": "green"}
start = int(datetime.now().strftime('%s'))
timestamp = start
for i in range(0, 10):
self.api.measurement_create(metric=metric, value=value, source=source,
timestamp=timestamp, properties=properties)
timestamp += 1
value += 0.1
measurements = self.api.measurement_get(source=source, start=start, aggregate='avg')
value = 0.0
timestamp = start
for measure in measurements:
self.assertEqual(metric, measure.metric)
self.assertEqual(value, measure.value)
self.assertEqual(source, measure.source)
self.assertEqual(timestamp, measure.timestamp/1000)
timestamp += 1
value += 0.1
def test_parse_timestamp_date_string_yymmddhhmm(self):
d = datetime.utcnow()
s = d.strftime('%Y-%m-%d %H:%M:%S')
ts = Measurement.parse_timestamp(s)
self.assertEqual(type(ts), int)
self.assertEqual(ts, int(d.strftime('%s')))
def test_parse_timestamp_date_string_yymmddhhmmss(self):
d = datetime.utcnow()
s = d.strftime('%Y-%m-%d %I:%M:%S%p')
ts = Measurement.parse_timestamp(s)
self.assertEqual(type(ts), int)
self.assertEqual(ts, int(d.strftime('%s')))
def test_parse_timestamp_date_string_yymmddHHMM(self):
d = datetime.utcnow()
s = d.strftime('%Y-%m-%d %I:%M:%S%p')
ts = Measurement.parse_timestamp(s)
self.assertEqual(type(ts), int)
self.assertEqual(ts, int(d.strftime('%s')))
def test_parse_timestamp_date_string_epoch_time(self):
s = '1466704787'
d = Measurement.parse_timestamp(s)
self.assertEqual(type(d), int)
self.assertEqual(d, 1466704787)
class Driver(object):
def __init__(self, email=None, api_token=None):
self._wm = None
self._api = API(email=email, api_token=api_token)
self._buttons = None
self._accelerometers = None
self._measurements = None
self._timestamp = None
def queue_measurement(self, metric, value, source):
self._measurements.append(Measurement(metric=metric, value=value, source=source, timestamp=self._timestamp))
def send_measurements(self):
logging.debug('send measurements')
self._api.measurement_create_batch(self._measurements)
def connect(self, retries=10):
"""
Attempt to connect to the Wiimote
:param retries: Number of times to attempting connection before raising an exception.
:return:
"""
print('Press 1+2 on your Wiimote now...')
i = 1
while self._wm is None:
try:
self._wm = cwiid.Wiimote()
except RuntimeError:
logging.error("Error opening wiimote connection, attempt: {0}".format(str(i)))
i += 1
if i > retries:
raise RuntimeError
self._wm.rpt_mode = cwiid.RPT_BTN | cwiid.RPT_ACC | cwiid.RPT_STATUS
print("connected!")
def button_status(self, button):
return 1 if self._buttons & button else 0
def collect_init(self):
# Initialze the array to hold the collected measurements
self._measurements = []
# Get the current time and use for all measurements
self._timestamp = int(datetime.now().strftime('%s'))
# Snapshot the current state of buttons and accelerometers
self._buttons = self._wm.state['buttons']
self._accelerometers = self._wm.state['acc']
self._battery = self._wm.state['battery']
def collect_battery_status(self):
self.queue_measurement('WIIMOTE_BATTERY', float(self._battery)/100.0, 'battery')
def collect_button_status(self):
button_left = self.button_status(cwiid.BTN_LEFT)
self.queue_measurement('WIIMOTE_BUTTON_LEFT', button_left, 'button-left')
self.queue_measurement('WIIMOTE_BUTTON', button_left, 'button-left')
button_right = self.button_status(cwiid.BTN_RIGHT)
self.queue_measurement('WIIMOTE_BUTTON_RIGHT', button_right, 'button-right')
self.queue_measurement('WIIMOTE_BUTTON', button_right, 'button-right')
button_up = self.button_status(cwiid.BTN_UP)
self.queue_measurement('WIIMOTE_BUTTON_UP', button_up, 'button-up')
self.queue_measurement('WIIMOTE_BUTTON', button_up, 'button-up')
button_down = self.button_status(cwiid.BTN_DOWN)
self.queue_measurement('WIIMOTE_BUTTON_DOWN', button_down, 'button-down')
self.queue_measurement('WIIMOTE_BUTTON', button_down, 'button-down')
button_1 = self.button_status(cwiid.BTN_1)
self.queue_measurement('WIIMOTE_BUTTON_1', button_1, 'button-1')
self.queue_measurement('WIIMOTE_BUTTON', button_1, 'button-1')
button_2 = self.button_status(cwiid.BTN_2)
self.queue_measurement('WIIMOTE_BUTTON_2', button_2, 'button-2')
self.queue_measurement('WIIMOTE_BUTTON', button_2, 'button-2')
button_a = self.button_status(cwiid.BTN_A)
self.queue_measurement('WIIMOTE_BUTTON_A', button_a, 'button-a')
self.queue_measurement('WIIMOTE_BUTTON', button_a, 'button-a')
button_b = self.button_status(cwiid.BTN_B)
self.queue_measurement('WIIMOTE_BUTTON_B', button_b, 'button-b')
self.queue_measurement('WIIMOTE_BUTTON', button_b, 'button-b')
button_home = self.button_status(cwiid.BTN_HOME)
self.queue_measurement('WIIMOTE_BUTTON_HOME', button_home, 'button-home')
self.queue_measurement('WIIMOTE_BUTTON', button_home, 'button-home')
button_minus = self.button_status(cwiid.BTN_MINUS)
self.queue_measurement('WIIMOTE_BUTTON_MINUS', button_minus, 'button-minus')
self.queue_measurement('WIIMOTE_BUTTON', button_minus, 'button-minus')
button_plus = self.button_status(cwiid.BTN_PLUS)
self.queue_measurement('WIIMOTE_BUTTON_PLUS', button_plus, 'button-plus')
self.queue_measurement('WIIMOTE_BUTTON', button_plus, 'button-plus')
def collect_accelerator_status(self):
self.queue_measurement('WIIMOTE_ACCELEROMETER_X', self._accelerometers[0], 'accelerometer-x')
self.queue_measurement('WIIMOTE_ACCELEROMETER_Y', self._accelerometers[1], 'accelerometer-y')
self.queue_measurement('WIIMOTE_ACCELEROMETER_Z', self._accelerometers[2], 'accelerometer-z')
self.queue_measurement('WIIMOTE_ACCELEROMETER', self._accelerometers[0], 'accelerometer-x');
self.queue_measurement('WIIMOTE_ACCELEROMETER', self._accelerometers[1], 'accelerometer-y');
self.queue_measurement('WIIMOTE_ACCELEROMETER', self._accelerometers[2], 'accelerometer-z');
def collection_loop(self):
logging.debug("start collection loop")
while True:
self.collect_init()
self.collect_battery_status()
self.collect_button_status()
self.collect_accelerator_status()
self.send_measurements()
def run(self):
self.connect()
self.collection_loop()
def setUp(self):
self.api = API()
class RawEventTest(TestCase):
def setUp(self):
self.api = API()
def test_default_constructor(self):
raw_event = RawEvent()
self.assertIsNone(raw_event.created_at)
self.assertIsNone(raw_event.event_id)
self.assertIsNone(raw_event.fingerprint_fields)
self.assertIsNone(raw_event.id)
self.assertIsNone(raw_event.message)
self.assertIsNone(raw_event.properties)
self.assertIsNone(raw_event.received_at)
self.assertIsNone(raw_event.sender)
self.assertIsNone(raw_event.severity)
self.assertIsNone(raw_event.source)
self.assertIsNone(raw_event.status)
self.assertIsNone(raw_event.tags)
self.assertIsNone(raw_event.tenant_id)
self.assertIsNone(raw_event.title)
def test_constructor_args(self):
created_at = int(datetime.now().strftime('%s'))
event_id = random.randrange(1, 1000000000)
fingerprint_fields = '@title'
id = random.randrange(1, 1000000000)
raw_event = RawEvent(
created_at=created_at,
event_id=event_id,
fingerprint_fields=fingerprint_fields,
)
self.assertEqual(created_at, raw_event.created_at)
def test_repr_(self):
created_at = int(datetime.now().strftime('%s'))
event_id = random.randrange(1, 1000000000)
fingerprint_fields = '@title'
id = random.randrange(1, 1000000000)
event_class = 'CHANGE'
message = TestUtils.random_string(32)
properties = {"foo": "bar", "color": "red"}
received_at = int(datetime.now().strftime('%s'))
sender = TestUtils.random_string(10)
severity = 'INFO'
source = Source(ref=TestUtils.random_string(10), _type='host', name='foobar')
status = 'OPEN'
tags = {"foo": "bar", "color": "red"}
tenant_id = random.randrange(1, 10000000)
title = TestUtils.random_string(16)
raw_event = RawEvent(
created_at=created_at,
event_id=event_id,
event_class=event_class,
fingerprint_fields=fingerprint_fields,
id=id,
message=message,
properties=properties,
received_at=received_at,
sender=sender,
severity=severity,
source=source,
status=status,
tags=tags,
tenant_id=tenant_id,
title=title
)
expected = []
expected.append("RawEvent(created_at={0}".format(created_at, event_id))
expected.append(", event_id='{0}'".format(event_id))
expected.append(", event_class='{0}'".format(event_class))
expected.append(", fingerprint_fields='{0}'".format(fingerprint_fields))
expected.append(", id='{0}'".format(id))
expected.append(", message='{0}'".format(message))
expected.append(", properties={0}".format(properties))
expected.append(", source='{0}'".format(source))
expected.append(", sender='{0}'".format(sender))
expected.append(", severity='{0}'".format(severity))
expected.append(", status='{0}'".format(status))
expected.append(", tags='{0}'".format(tags))
expected.append(", tenant_id={0}".format(tenant_id))
expected.append(", title='{0}')".format(title))
expected = "".join(expected)
self.assertEqual(expected, raw_event.__repr__())
def test_create_event(self):
source = Source(ref='localhost', _type='host', name='bubba')
self.api.event_create(title='Hello World', fingerprint_fields=['@title'], source=source)
def test_create_event_with_date(self):
source = Source(ref='localhost', _type='host', name='bubba')
dt = datetime.now()
self.api.event_create(created_at=dt, title='Hello World', fingerprint_fields=['@title'], source=source)
def test_create_event_with_finger_print_fields(self):
fingerprint_fields = ['@message']
source = Source(ref='localhost', _type='host', name='bubba')
message = 'hello' + TestUtils.random_string(6)
dt = datetime.now()
self.api.event_create(message=message, created_at=dt, title='Hello World', fingerprint_fields=fingerprint_fields, source=source)
def test_create_event_with_properties(self):
source = Source(ref='localhost', _type='host', name='bubba')
title = 'sending tags'
properties = {"foo": "bar"}
self.api.event_create(title=title, fingerprint_fields=['@title'], source=source, properties=properties)
def test_create_event_with_class(self):
source = Source(ref='localhost', _type='host', name='bubba')
title = 'Event class'
event_class = 'MyClass'
self.api.event_create(title=title, fingerprint_fields=['@title'], source=source, event_class=event_class)
def test_create_event_with_sender(self):
source = Source(ref='localhost', _type='host', name='bubba')
sender = Sender(ref='localhost', _type='host', name='bubba')
self.api.event_create(title='Hello World', fingerprint_fields=['@title'], source=source, sender=sender)
def test_create_bad_source(self):
try:
ref = 'Hello World'
self.api.event_create(title='Hello World', fingerprint_fields=['@title'], source=ref)
self.assertTrue(False)
except ValueError:
pass
def test_create_bad_sender(self):
try:
source = Source(ref='localhost', _type='host', name='bubba')
ref = 'Hello World'
self.api.event_create(title='Hello World', fingerprint_fields=['@title'], source=source, sender=ref)
self.assertTrue(False)
except ValueError:
pass
def test_event_get(self):
events = self.api.event_list()
for event in events:
print(event)
def test_to_json(self):
ref = 'device'
_type = 'blah'
name = 'hello'
properties = {'red': 1, 'blue': 'foo', 'green': 1.0}
source = Source(ref=ref, _type=_type, name=name, properties=properties)
event = RawEvent(title='Hello World', fingerprint_fields=['@title'], source=source)
output = json.dumps(event, sort_keys=True, default=tspapi.event.serialize_instance)
expected = '{"source": {"name": "hello", "properties": {"blue": "foo", "green": 1.0, "red": 1}, ' + \
'"ref": "device", "type": "blah"}, "title": "Hello World"}'
self.assertEqual(expected, output)
def test_parse_date_datetime(self):
d = datetime.now()
expected = int(d.strftime('%s'))
timestamp = Measurement.parse_timestamp(d)
self.assertEqual(expected, timestamp)
def test_parse_date_epoch(self):
expected = int(datetime.now().strftime('%s'))
timestamp = Measurement.parse_timestamp(expected)
self.assertEqual(expected, timestamp)
def test_parse_date_ymd(self):
s = '2015-06-30'
timestamp = Measurement.parse_timestamp(s)
expected = int(datetime(2015, 6, 30).strftime('%s'))
self.assertEqual(expected, timestamp)
def test_parse_date_ymd_hms24(self):
s = '2014-06-30 14:27:16'
timestamp = Measurement.parse_timestamp(s)
expected = int(datetime(2014, 6, 30, 14, 27, 16).strftime('%s'))
self.assertEqual(expected, timestamp)
def test_parse_date_ymd_hms(self):
s = '2014-06-30 02:27:16PM'
timestamp = Measurement.parse_timestamp(s)
expected = int(datetime(2014, 6, 30, 14, 27, 16).strftime('%s'))
self.assertEqual(expected, timestamp)
def test_parse_date_bad_date_format(self):
try:
s = 'foobar'
timestamp = Measurement.parse_timestamp(s)
self.assertTrue(False)
except ValueError:
pass
def __init__(self, ):
self.api = API()
self.usage_args = ""
# Set our application id from the environment variable
self.app_id = os.environ['TSI_APP_ID']
class MeasurementTest(TestCase):
def setUp(self):
self.api = API()
def test_measurement_constructor(self):
metric = 'CPU'
value = 0.5
source = 'foobar'
timestamp = int(datetime.now().strftime('%s'))
properties = {
"app_id": "red",
"source_type": "blue",
"origin": "green"
}
measurement = Measurement(metric=metric,
value=value,
source=source,
timestamp=timestamp,
properties=properties)
self.assertEqual(metric, measurement.metric)
self.assertEqual(value, measurement.value)
self.assertEqual(source, measurement.source)
self.assertEqual(timestamp, measurement.timestamp)
self.assertEqual(properties, measurement.properties)
def test_measurement_defaults(self):
measurement = Measurement()
self.assertIsNone(measurement.metric)
self.assertIsNone(measurement.value)
self.assertIsNone(measurement.source)
self.assertIsNone(measurement.timestamp)
self.assertIsNone(measurement.properties)
def test_measurement_create(self):
metric_id = 'CPU'
value = 0.75
source = 'API_TEST_SOURCE'
timestamp = int(datetime.now().strftime('%s'))
self.api.measurement_create(metric_id, value, source, timestamp)
def test_measurement_create_datetime(self):
metric_id = 'CPU'
value = 0.75
source = 'API_TEST_SOURCE'
timestamp = datetime.now()
self.api.measurement_create(metric_id, value, source, timestamp)
def test_measurement_create_with_properties(self):
metric_id = 'CPU'
value = 0.75
source = 'API_TEST_SOURCE'
timestamp = int(datetime.now().strftime('%s'))
properties = {
"app_id": "red",
"source_type": "blue",
"origin": "green"
}
self.api.measurement_create(metric=metric_id,
value=value,
source=source,
timestamp=timestamp,
properties=properties)
def test_measurement_create_batch(self):
measurements = []
timestamp = int(datetime.now().strftime('%s'))
measurements.append(
Measurement(metric='CPU',
value=0.5,
source='red',
timestamp=timestamp))
measurements.append(
Measurement(metric='CPU',
value=0.6,
source='green',
timestamp=timestamp))
measurements.append(
Measurement(metric='CPU',
value=0.7,
source='blue',
timestamp=timestamp))
self.api.measurement_create_batch(measurements)
def test_measurement_create_batch_datetime(self):
measurements = []
timestamp = datetime.now()
measurements.append(
Measurement(metric='CPU',
value=0.5,
source='red',
timestamp=timestamp))
measurements.append(
Measurement(metric='CPU',
value=0.6,
source='green',
timestamp=timestamp))
measurements.append(
Measurement(metric='CPU',
value=0.7,
source='blue',
timestamp=timestamp))
self.api.measurement_create_batch(measurements)
def test_measurement_create_batch_with_properties(self):
measurements = []
properties = {
"app_id": "red",
"source_type": "blue",
"origin": "green"
}
timestamp = int(datetime.now().strftime('%s'))
measurements.append(
Measurement(metric='CPU',
value=0.5,
source='red',
timestamp=timestamp,
properties=properties))
measurements.append(
Measurement(metric='CPU',
value=0.6,
source='green',
timestamp=timestamp,
properties=properties))
measurements.append(
Measurement(metric='CPU',
value=0.7,
source='blue',
timestamp=timestamp,
properties=properties))
self.api.measurement_create_batch(measurements)
def test_measurement_get(self):
metric = 'CPU'
value = 0.0
source = 'API_TEST_SOURCE' + TestUtils.random_string(6)
properties = {
"app_id": "red",
"source_type": "blue",
"origin": "green"
}
start = int(datetime.now().strftime('%s'))
timestamp = start
for i in range(0, 10):
self.api.measurement_create(metric=metric,
value=value,
source=source,
timestamp=timestamp,
properties=properties)
timestamp += 1
value += 0.1
measurements = self.api.measurement_get(source=source,
start=start,
aggregate='avg')
value = 0.0
timestamp = start
for measure in measurements:
self.assertEqual(metric, measure.metric)
self.assertEqual(value, measure.value)
self.assertEqual(source, measure.source)
self.assertEqual(timestamp, measure.timestamp / 1000)
timestamp += 1
value += 0.1
def test_parse_timestamp_date_string_yymmddhhmm(self):
d = datetime.utcnow()
s = d.strftime('%Y-%m-%d %H:%M:%S')
ts = Measurement.parse_timestamp(s)
self.assertEqual(type(ts), int)
self.assertEqual(ts, int(d.strftime('%s')))
def test_parse_timestamp_date_string_yymmddhhmmss(self):
d = datetime.utcnow()
s = d.strftime('%Y-%m-%d %I:%M:%S%p')
ts = Measurement.parse_timestamp(s)
self.assertEqual(type(ts), int)
self.assertEqual(ts, int(d.strftime('%s')))
def test_parse_timestamp_date_string_yymmddHHMM(self):
d = datetime.utcnow()
s = d.strftime('%Y-%m-%d %I:%M:%S%p')
ts = Measurement.parse_timestamp(s)
self.assertEqual(type(ts), int)
self.assertEqual(ts, int(d.strftime('%s')))
def test_parse_timestamp_date_string_epoch_time(self):
s = '1466704787'
d = Measurement.parse_timestamp(s)
self.assertEqual(type(d), int)
self.assertEqual(d, 1466704787)
class MetricTest(TestCase):
def setUp(self):
self.api = API()
logging.basicConfig(level=logging.DEBUG)
self.name = "TEST_" + TestUtils.random_string(6)
self.display_name = "green"
self.display_name_short = "blue"
self.description = "magenta"
self.default_aggregate = aggregates.SUM
self.default_resolution = 60000
self.unit = units.DURATION
self.type = "FOOBAR"
self.is_disabled = False
self.metric = Metric(
name=self.name,
display_name=self.display_name,
display_name_short=self.display_name_short,
description=self.description,
default_aggregate=self.default_aggregate,
default_resolution=self.default_resolution,
unit=self.unit,
_type=self.type,
is_disabled=self.is_disabled,
)
self.api.metric_create_batch([self.metric])
logging.basicConfig(level=logging.INFO)
def tearDown(self):
self.api.metric_delete(self.metric.name)
def test_minimal_constructor(self):
name = "FOO"
m = Metric(name=name)
self.assertEqual(name, m.name)
self.assertEqual(name, m.display_name)
self.assertEqual(name, m.display_name_short)
self.assertEqual("", m.description)
self.assertEqual(m.default_aggregate, aggregates.AVG)
self.assertEqual(m.default_resolution, 1000)
self.assertEqual(m.unit, units.NUMBER)
self.assertIsNone(m.type)
def test_constructor_arguments(self):
self.assertEqual(self.name, self.metric.name)
self.assertEqual(self.display_name, self.metric.display_name)
self.assertEqual(self.display_name_short, self.metric.display_name_short)
self.assertEqual(self.description, self.metric.description)
self.assertEqual(self.default_aggregate, self.metric.default_aggregate)
self.assertEqual(self.default_resolution, self.metric.default_resolution)
self.assertEqual(self.unit, self.metric.unit)
self.assertEqual(self.type, self.metric.type)
self.assertEqual(self.is_disabled, self.metric.is_disabled)
def test_representation_string(self):
"""
Test the output of the __repr__ method
:param self:
:return:
"""
expected = [
"Metric(name='{0}', display_name='green', display_name_short='blue',".format(self.metric.name),
" description='magenta', default_aggregate='sum', default_resolution=60000,",
" unit='duration', _type='FOOBAR', is_disabled='False')",
]
self.assertEqual("".join(expected), self.metric.__repr__())
def test_metric_to_json(self):
m = Metric(name="TEST")
data = json.dumps(m, sort_keys=True, default=tspapi.metric.serialize_instance)
s = [
'{"defaultAggregate": "avg", "defaultResolutionMS": 1000, "description": "",',
' "displayName": "TEST", "displayNameShort": "TEST", "isDisabled": false, "name": "TEST",',
' "unit": "number"}',
]
expected = "".join(s)
self.assertEqual(expected, data)
def test_metric_list_to_json(self):
l = [Metric(name="ONE"), Metric(name="TWO")]
self.maxDiff = None
s = [
'[{"defaultAggregate": "avg", "defaultResolutionMS": 1000, "description": "", "displayName": "ONE",',
' "displayNameShort": "ONE", "isDisabled": false, "name": "ONE",',
' "unit": "number"},',
' {"defaultAggregate": "avg", "defaultResolutionMS": 1000, "description": "", "displayName": "TWO",',
' "displayNameShort": "TWO", "isDisabled": false, "name": "TWO",',
' "unit": "number"}]',
]
expected = "".join(s)
data = json.dumps(l, sort_keys=True, default=tspapi.metric.serialize_instance)
self.assertEqual(expected, data)
def test_metric_instance_empty_name(self):
"""
Ensure that creating a metric with an empty name throws a
ValueError exception
:return:
"""
try:
m = Metric()
print(m)
self.assertTrue(False)
except ValueError:
pass
def test_metric_empty_name(self):
"""
Ensure that trying to call the create metric API with an empty name
throws a ValueError exception
:return:
"""
try:
self.api.metric_create()
self.assertTrue(False)
except ValueError:
pass
def test_metric_create(self):
name = "TEST_CREATE_FOOBAR" + TestUtils.random_string(6)
display_name = "TEST_METRIC_CREATE" + TestUtils.random_string(6)
display_name_short = "TEST_METRIC" + TestUtils.random_string(6)
description = TestUtils.random_string(32)
default_aggregate = aggregates.AVG
default_resolution = 60000
unit = units.DURATION
_type = "FOO"
is_disabled = True
metric = self.api.metric_create(
name=name,
display_name=display_name,
display_name_short=display_name_short,
description=description,
default_aggregate=default_aggregate,
default_resolution=default_resolution,
unit=unit,
_type=_type,
is_disabled=is_disabled,
)
self.assertEqual(name, metric.name)
self.assertEqual(display_name, metric.display_name)
self.assertEqual(display_name_short, metric.display_name_short)
self.assertEqual(description, metric.description)
self.assertEqual(default_aggregate.upper(), metric.default_aggregate)
self.assertEqual(default_resolution, metric.default_resolution)
self.assertEqual(unit, metric.unit)
self.assertEqual(_type, metric.type)
self.assertEqual(is_disabled, metric.is_disabled)
def test_metric_create_one_batch(self):
name = "TEST_CREATE_BATCH_ONE_FOOBAR" + TestUtils.random_string(6)
display_name = "BATCH" + TestUtils.random_string(6)
display_name_short = "BATCH" + TestUtils.random_string(3)
description = TestUtils.random_string(32)
default_aggregate = aggregates.SUM
default_resolution = random.randrange(1000, 60000)
unit = units.PERCENT
_type = "FOO"
is_disabled = True
metric1 = Metric(
name=name,
display_name=display_name,
display_name_short=display_name_short,
description=description,
default_aggregate=default_aggregate,
default_resolution=default_resolution,
unit=unit,
_type=_type,
is_disabled=is_disabled,
)
metrics = self.api.metric_create_batch([metric1])
self.assertEqual(len(metrics), 1)
m = metrics[0]
self.assertEqual(name, m.name)
self.assertEqual(display_name, m.display_name)
self.assertEqual(display_name_short, m.display_name_short)
self.assertEqual(description, m.description)
self.assertEqual(default_aggregate.upper(), m.default_aggregate)
self.assertEqual(default_resolution, m.default_resolution)
self.assertEqual(unit, m.unit)
self.assertEqual(_type, m.type)
self.assertEqual(is_disabled, m.is_disabled)
self.api.metric_delete(name)
def test_metric_large_display_name(self):
"""
Test to see that we can handle a display name up to 1K characters
:return:
"""
try:
name = "TEST_CREATE" + TestUtils.random_string(6)
display_name = TestUtils.random_string(1024 * 1024)
metric = self.api.metric_create(name=name, display_name=display_name)
self.assertTrue(True)
except HTTPResponseError as e:
self.assertEqual(requests.codes.request_entity_too_large, e.status_code)
def test_metric_large_short_display_name(self):
"""
Test on the limit of the short display name
:return:
"""
try:
name = "TEST_CREATE" + TestUtils.random_string(6)
display_name_short = TestUtils.random_string(1024 * 1024)
metric = self.api.metric_create(name=name, display_name_short=display_name_short)
self.assertTrue(True)
except HTTPResponseError as e:
self.assertEqual(requests.codes.request_entity_too_large, e.status_code)
def test_metric_bad_aggregate(self):
try:
name = "TEST_CREATE" + TestUtils.random_string(6)
display_name = TestUtils.random_string(32)
metric = self.api.metric_create(name=name, display_name=display_name, default_aggregate="foo")
self.assertTrue(False)
except HTTPResponseError as e:
self.assertEqual(requests.codes.unprocessable_entity, e.status_code)
def test_metric_bad_unit(self):
try:
name = "TEST_CREATE" + TestUtils.random_string(6)
display_name = TestUtils.random_string(32)
metric = self.api.metric_create(name=name, display_name=display_name, unit="foo")
self.assertTrue(False)
except HTTPResponseError as e:
self.assertEqual(requests.codes.unprocessable_entity, e.status_code)
def test_metric_create_multiple_batch(self):
name1 = "TEST_CREATE_BATCH_ONE_FOOBAR" + TestUtils.random_string(6)
name2 = "TEST_CREATE_BATCH_TWO_FOOBAR" + TestUtils.random_string(6)
name3 = "TEST_CREATE_BATCH_THREE_FOOBAR" + TestUtils.random_string(6)
name4 = "TEST_CREATE_BATCH_FOUR_FOOBAR" + TestUtils.random_string(6)
display_name1 = "TEST_DISPLAY_NAME" + TestUtils.random_string(6)
display_name2 = "TEST_DISPLAY_NAME" + TestUtils.random_string(6)
display_name3 = "TEST_DISPLAY_NAME" + TestUtils.random_string(6)
display_name4 = "TEST_DISPLAY_NAME" + TestUtils.random_string(6)
display_name_short1 = "TEST_SHORT" + TestUtils.random_string(10)
display_name_short2 = "TEST_SHORT" + TestUtils.random_string(10)
display_name_short3 = "TEST_SHORT" + TestUtils.random_string(10)
display_name_short4 = "TEST_SHORT" + TestUtils.random_string(10)
description1 = TestUtils.random_string(32)
description2 = TestUtils.random_string(32)
description3 = TestUtils.random_string(32)
description4 = TestUtils.random_string(32)
default_aggregate1 = aggregates.AVG
default_aggregate2 = aggregates.MIN
default_aggregate3 = aggregates.MAX
default_aggregate4 = aggregates.SUM
default_resolution1 = random.randrange(1000, 60000)
default_resolution2 = random.randrange(1000, 60000)
default_resolution3 = random.randrange(1000, 60000)
default_resolution4 = random.randrange(1000, 60000)
unit1 = units.BYTECOUNT
unit2 = units.DURATION
unit3 = units.NUMBER
unit4 = units.PERCENT
is_disabled1 = True
is_disabled2 = False
is_disabled3 = True
is_disabled4 = False
_type1 = TestUtils.random_string(6)
_type2 = TestUtils.random_string(6)
_type3 = TestUtils.random_string(6)
_type4 = TestUtils.random_string(6)
new_metrics = [
Metric(
name=name1,
display_name=display_name1,
display_name_short=display_name_short1,
description=description1,
default_aggregate=default_aggregate1,
default_resolution=default_resolution1,
unit=unit1,
_type=_type1,
is_disabled=is_disabled1,
),
Metric(
name=name2,
display_name=display_name2,
display_name_short=display_name_short2,
description=description2,
default_aggregate=default_aggregate2,
default_resolution=default_resolution2,
unit=unit2,
_type=_type2,
is_disabled=is_disabled2,
),
Metric(
name=name3,
display_name=display_name3,
display_name_short=display_name_short3,
description=description3,
default_aggregate=default_aggregate3,
default_resolution=default_resolution3,
unit=unit3,
_type=_type3,
is_disabled=is_disabled3,
),
Metric(
name=name4,
display_name=display_name4,
display_name_short=display_name_short4,
description=description4,
default_aggregate=default_aggregate4,
default_resolution=default_resolution4,
unit=unit4,
_type=_type4,
is_disabled=is_disabled4,
),
]
metrics = self.api.metric_create_batch(new_metrics)
self.assertEqual(4, len(metrics))
def test_metric_create_batch_from_file(self):
self.api.metric_create_batch(path="tests/unit/tspapi/metric_batch.json")
self.api.metric_delete("TEST_MY_COOL_METRIC_31")
self.api.metric_delete("TEST_MY_COOL_METRIC_32")
def test_metric_get(self):
metrics = self.api.metric_get()
self.assertIsNotNone(metrics)
def test_metric_delete(self):
name = "TEST_DELETE_FOOBAR" + TestUtils.random_string(6)
self.api.metric_create(name=name)
self.api.metric_delete(name)
def test_metric_delete_no_name(self):
try:
self.api.metric_delete()
self.assertTrue(False)
except ValueError:
pass
def test_metric_delete_name_does_not_exist(self):
try:
self.api.metric_delete(TestUtils.random_string(10))
except HTTPResponseError as e:
self.assertEqual(requests.codes.unprocessable_entity, e.status_code)
def test_metric_update(self):
name = "TEST_UPDATE_" + TestUtils.random_string(6)
display_name = TestUtils.random_string(8)
display_name_short = TestUtils.random_string(16)
description = TestUtils.random_string(16)
default_aggregate = aggregates.SUM
default_resolution = 60000
unit = units.PERCENT
is_disabled = False
_type = "DEVICE"
self.api.metric_create(
name=name,
display_name=display_name,
display_name_short=display_name_short,
description=description,
default_aggregate=default_aggregate,
default_resolution=default_resolution,
unit=unit,
is_disabled=is_disabled,
_type=_type,
)
display_name = TestUtils.random_string(8)
display_name_short = TestUtils.random_string(16)
description = TestUtils.random_string(16)
default_aggregate = aggregates.MAX
default_resolution = 30000
unit = units.DURATION
is_disabled = True
_type = "HOST"
metric = self.api.metric_update(
name=name,
display_name=display_name,
display_name_short=display_name_short,
description=description,
default_aggregate=default_aggregate,
default_resolution=default_resolution,
unit=unit,
is_disabled=is_disabled,
_type=_type,
)
self.assertEqual(name, metric.name)
self.assertEqual(display_name, metric.display_name)
self.assertEqual(display_name_short, metric.display_name_short)
self.assertEqual(description, metric.description)
self.assertEqual(default_aggregate.upper(), metric.default_aggregate)
self.assertEqual(default_resolution, metric.default_resolution)
self.assertEqual(unit, metric.unit)
self.assertEqual(_type, metric.type)
self.assertEqual(is_disabled, metric.is_disabled)
self.api.metric_delete(name)
def test_metric_batch_update(self):
pass
def __init__(self, ):
self.api = API()
self.usage_args = ""
# Set our application id from the environment variable
self.app_id = os.environ['TSI_APP_ID']
def __init__(self, email=None, api_token=None, api_host=None):
super(APIDataSink, self).__init__()
self._api = API(email=email, api_token=api_token, api_host=api_host)
class MetricTest(TestCase):
def setUp(self):
self.api = API()
logging.basicConfig(level=logging.DEBUG)
self.name = 'TEST_' + TestUtils.random_string(6)
self.display_name = 'green'
self.display_name_short = 'blue'
self.description = 'magenta'
self.default_aggregate = aggregates.SUM
self.default_resolution = 60000
self.unit = units.DURATION
self.type = 'FOOBAR'
self.is_disabled = False
self.metric = Metric(name=self.name,
display_name=self.display_name,
display_name_short=self.display_name_short,
description=self.description,
default_aggregate=self.default_aggregate,
default_resolution=self.default_resolution,
unit=self.unit,
_type=self.type,
is_disabled=self.is_disabled)
self.api.metric_create_batch([self.metric])
logging.basicConfig(level=logging.INFO)
def tearDown(self):
self.api.metric_delete(self.metric.name)
def test_minimal_constructor(self):
name = 'FOO'
m = Metric(name=name)
self.assertEqual(name, m.name)
self.assertEqual(name, m.display_name)
self.assertEqual(name, m.display_name_short)
self.assertEqual('', m.description)
self.assertEqual(m.default_aggregate, aggregates.AVG)
self.assertEqual(m.default_resolution, 1000)
self.assertEqual(m.unit, units.NUMBER)
self.assertIsNone(m.type)
def test_constructor_arguments(self):
self.assertEqual(self.name, self.metric.name)
self.assertEqual(self.display_name, self.metric.display_name)
self.assertEqual(self.display_name_short,
self.metric.display_name_short)
self.assertEqual(self.description, self.metric.description)
self.assertEqual(self.default_aggregate, self.metric.default_aggregate)
self.assertEqual(self.default_resolution,
self.metric.default_resolution)
self.assertEqual(self.unit, self.metric.unit)
self.assertEqual(self.type, self.metric.type)
self.assertEqual(self.is_disabled, self.metric.is_disabled)
def test_representation_string(self):
"""
Test the output of the __repr__ method
:param self:
:return:
"""
expected = [
"Metric(name='{0}', display_name='green', display_name_short='blue',"
.format(self.metric.name),
" description='magenta', default_aggregate='sum', default_resolution=60000,",
" unit='duration', _type='FOOBAR', is_disabled='False')"
]
self.assertEqual("".join(expected), self.metric.__repr__())
def test_metric_to_json(self):
m = Metric(name="TEST")
data = json.dumps(m,
sort_keys=True,
default=tspapi.metric.serialize_instance)
s = [
'{"defaultAggregate": "avg", "defaultResolutionMS": 1000, "description": "",',
' "displayName": "TEST", "displayNameShort": "TEST", "isDisabled": false, "name": "TEST",',
' "unit": "number"}'
]
expected = "".join(s)
self.assertEqual(expected, data)
def test_metric_list_to_json(self):
l = [Metric(name="ONE"), Metric(name="TWO")]
self.maxDiff = None
s = [
'[{"defaultAggregate": "avg", "defaultResolutionMS": 1000, "description": "", "displayName": "ONE",',
' "displayNameShort": "ONE", "isDisabled": false, "name": "ONE",',
' "unit": "number"},',
' {"defaultAggregate": "avg", "defaultResolutionMS": 1000, "description": "", "displayName": "TWO",',
' "displayNameShort": "TWO", "isDisabled": false, "name": "TWO",',
' "unit": "number"}]'
]
expected = "".join(s)
data = json.dumps(l,
sort_keys=True,
default=tspapi.metric.serialize_instance)
self.assertEqual(expected, data)
def test_metric_instance_empty_name(self):
"""
Ensure that creating a metric with an empty name throws a
ValueError exception
:return:
"""
try:
m = Metric()
print(m)
self.assertTrue(False)
except ValueError:
pass
def test_metric_empty_name(self):
"""
Ensure that trying to call the create metric API with an empty name
throws a ValueError exception
:return:
"""
try:
self.api.metric_create()
self.assertTrue(False)
except ValueError:
pass
def test_metric_create(self):
name = "TEST_CREATE_FOOBAR" + TestUtils.random_string(6)
display_name = "TEST_METRIC_CREATE" + TestUtils.random_string(6)
display_name_short = "TEST_METRIC" + TestUtils.random_string(6)
description = TestUtils.random_string(32)
default_aggregate = aggregates.AVG
default_resolution = 60000
unit = units.DURATION
_type = 'FOO'
is_disabled = True
metric = self.api.metric_create(name=name,
display_name=display_name,
display_name_short=display_name_short,
description=description,
default_aggregate=default_aggregate,
default_resolution=default_resolution,
unit=unit,
_type=_type,
is_disabled=is_disabled)
self.assertEqual(name, metric.name)
self.assertEqual(display_name, metric.display_name)
self.assertEqual(display_name_short, metric.display_name_short)
self.assertEqual(description, metric.description)
self.assertEqual(default_aggregate.upper(), metric.default_aggregate)
self.assertEqual(default_resolution, metric.default_resolution)
self.assertEqual(unit, metric.unit)
self.assertEqual(_type, metric.type)
self.assertEqual(is_disabled, metric.is_disabled)
def test_metric_create_one_batch(self):
name = 'TEST_CREATE_BATCH_ONE_FOOBAR' + TestUtils.random_string(6)
display_name = "BATCH" + TestUtils.random_string(6)
display_name_short = "BATCH" + TestUtils.random_string(3)
description = TestUtils.random_string(32)
default_aggregate = aggregates.SUM
default_resolution = random.randrange(1000, 60000)
unit = units.PERCENT
_type = 'FOO'
is_disabled = True
metric1 = Metric(name=name,
display_name=display_name,
display_name_short=display_name_short,
description=description,
default_aggregate=default_aggregate,
default_resolution=default_resolution,
unit=unit,
_type=_type,
is_disabled=is_disabled)
metrics = self.api.metric_create_batch([metric1])
self.assertEqual(len(metrics), 1)
m = metrics[0]
self.assertEqual(name, m.name)
self.assertEqual(display_name, m.display_name)
self.assertEqual(display_name_short, m.display_name_short)
self.assertEqual(description, m.description)
self.assertEqual(default_aggregate.upper(), m.default_aggregate)
self.assertEqual(default_resolution, m.default_resolution)
self.assertEqual(unit, m.unit)
self.assertEqual(_type, m.type)
self.assertEqual(is_disabled, m.is_disabled)
self.api.metric_delete(name)
def test_metric_large_display_name(self):
"""
Test to see that we can handle a display name up to 1K characters
:return:
"""
try:
name = 'TEST_CREATE' + TestUtils.random_string(6)
display_name = TestUtils.random_string(1024 * 1024)
metric = self.api.metric_create(name=name,
display_name=display_name)
self.assertTrue(True)
except HTTPResponseError as e:
self.assertEqual(requests.codes.request_entity_too_large,
e.status_code)
def test_metric_large_short_display_name(self):
"""
Test on the limit of the short display name
:return:
"""
try:
name = 'TEST_CREATE' + TestUtils.random_string(6)
display_name_short = TestUtils.random_string(1024 * 1024)
metric = self.api.metric_create(
name=name, display_name_short=display_name_short)
self.assertTrue(True)
except HTTPResponseError as e:
self.assertEqual(requests.codes.request_entity_too_large,
e.status_code)
def test_metric_bad_aggregate(self):
try:
name = 'TEST_CREATE' + TestUtils.random_string(6)
display_name = TestUtils.random_string(32)
metric = self.api.metric_create(name=name,
display_name=display_name,
default_aggregate='foo')
self.assertTrue(False)
except HTTPResponseError as e:
self.assertEqual(requests.codes.unprocessable_entity,
e.status_code)
def test_metric_bad_unit(self):
try:
name = 'TEST_CREATE' + TestUtils.random_string(6)
display_name = TestUtils.random_string(32)
metric = self.api.metric_create(name=name,
display_name=display_name,
unit='foo')
self.assertTrue(False)
except HTTPResponseError as e:
self.assertEqual(requests.codes.unprocessable_entity,
e.status_code)
def test_metric_create_multiple_batch(self):
name1 = 'TEST_CREATE_BATCH_ONE_FOOBAR' + TestUtils.random_string(6)
name2 = 'TEST_CREATE_BATCH_TWO_FOOBAR' + TestUtils.random_string(6)
name3 = 'TEST_CREATE_BATCH_THREE_FOOBAR' + TestUtils.random_string(6)
name4 = 'TEST_CREATE_BATCH_FOUR_FOOBAR' + TestUtils.random_string(6)
display_name1 = 'TEST_DISPLAY_NAME' + TestUtils.random_string(6)
display_name2 = 'TEST_DISPLAY_NAME' + TestUtils.random_string(6)
display_name3 = 'TEST_DISPLAY_NAME' + TestUtils.random_string(6)
display_name4 = 'TEST_DISPLAY_NAME' + TestUtils.random_string(6)
display_name_short1 = 'TEST_SHORT' + TestUtils.random_string(10)
display_name_short2 = 'TEST_SHORT' + TestUtils.random_string(10)
display_name_short3 = 'TEST_SHORT' + TestUtils.random_string(10)
display_name_short4 = 'TEST_SHORT' + TestUtils.random_string(10)
description1 = TestUtils.random_string(32)
description2 = TestUtils.random_string(32)
description3 = TestUtils.random_string(32)
description4 = TestUtils.random_string(32)
default_aggregate1 = aggregates.AVG
default_aggregate2 = aggregates.MIN
default_aggregate3 = aggregates.MAX
default_aggregate4 = aggregates.SUM
default_resolution1 = random.randrange(1000, 60000)
default_resolution2 = random.randrange(1000, 60000)
default_resolution3 = random.randrange(1000, 60000)
default_resolution4 = random.randrange(1000, 60000)
unit1 = units.BYTECOUNT
unit2 = units.DURATION
unit3 = units.NUMBER
unit4 = units.PERCENT
is_disabled1 = True
is_disabled2 = False
is_disabled3 = True
is_disabled4 = False
_type1 = TestUtils.random_string(6)
_type2 = TestUtils.random_string(6)
_type3 = TestUtils.random_string(6)
_type4 = TestUtils.random_string(6)
new_metrics = [
Metric(name=name1,
display_name=display_name1,
display_name_short=display_name_short1,
description=description1,
default_aggregate=default_aggregate1,
default_resolution=default_resolution1,
unit=unit1,
_type=_type1,
is_disabled=is_disabled1),
Metric(name=name2,
display_name=display_name2,
display_name_short=display_name_short2,
description=description2,
default_aggregate=default_aggregate2,
default_resolution=default_resolution2,
unit=unit2,
_type=_type2,
is_disabled=is_disabled2),
Metric(name=name3,
display_name=display_name3,
display_name_short=display_name_short3,
description=description3,
default_aggregate=default_aggregate3,
default_resolution=default_resolution3,
unit=unit3,
_type=_type3,
is_disabled=is_disabled3),
Metric(name=name4,
display_name=display_name4,
display_name_short=display_name_short4,
description=description4,
default_aggregate=default_aggregate4,
default_resolution=default_resolution4,
unit=unit4,
_type=_type4,
is_disabled=is_disabled4)
]
metrics = self.api.metric_create_batch(new_metrics)
self.assertEqual(4, len(metrics))
def test_metric_create_batch_from_file(self):
self.api.metric_create_batch(
path="tests/unit/tspapi/metric_batch.json")
self.api.metric_delete('TEST_MY_COOL_METRIC_31')
self.api.metric_delete('TEST_MY_COOL_METRIC_32')
def test_metric_get(self):
metrics = self.api.metric_get()
self.assertIsNotNone(metrics)
def test_metric_delete(self):
name = 'TEST_DELETE_FOOBAR' + TestUtils.random_string(6)
self.api.metric_create(name=name)
self.api.metric_delete(name)
def test_metric_delete_no_name(self):
try:
self.api.metric_delete()
self.assertTrue(False)
except ValueError:
pass
def test_metric_delete_name_does_not_exist(self):
try:
self.api.metric_delete(TestUtils.random_string(10))
except HTTPResponseError as e:
self.assertEqual(requests.codes.unprocessable_entity,
e.status_code)
def test_metric_update(self):
name = 'TEST_UPDATE_' + TestUtils.random_string(6)
display_name = TestUtils.random_string(8)
display_name_short = TestUtils.random_string(16)
description = TestUtils.random_string(16)
default_aggregate = aggregates.SUM
default_resolution = 60000
unit = units.PERCENT
is_disabled = False
_type = 'DEVICE'
self.api.metric_create(name=name,
display_name=display_name,
display_name_short=display_name_short,
description=description,
default_aggregate=default_aggregate,
default_resolution=default_resolution,
unit=unit,
is_disabled=is_disabled,
_type=_type)
display_name = TestUtils.random_string(8)
display_name_short = TestUtils.random_string(16)
description = TestUtils.random_string(16)
default_aggregate = aggregates.MAX
default_resolution = 30000
unit = units.DURATION
is_disabled = True
_type = 'HOST'
metric = self.api.metric_update(name=name,
display_name=display_name,
display_name_short=display_name_short,
description=description,
default_aggregate=default_aggregate,
default_resolution=default_resolution,
unit=unit,
is_disabled=is_disabled,
_type=_type)
self.assertEqual(name, metric.name)
self.assertEqual(display_name, metric.display_name)
self.assertEqual(display_name_short, metric.display_name_short)
self.assertEqual(description, metric.description)
self.assertEqual(default_aggregate.upper(), metric.default_aggregate)
self.assertEqual(default_resolution, metric.default_resolution)
self.assertEqual(unit, metric.unit)
self.assertEqual(_type, metric.type)
self.assertEqual(is_disabled, metric.is_disabled)
self.api.metric_delete(name)
def test_metric_batch_update(self):
pass