def last_detect_sample(endpoint, key, request):
print('Sample of detecting whether the latest point in series is anomaly.')
client = AnomalyDetectorClient(endpoint, CognitiveServicesCredentials(key))
response = client.last_detect(request)
if response.is_anomaly:
print('The latest point is detected as anomaly.')
else:
print('The latest point is not detected as anomaly.')
def last_detect(subscription_key):
print("Sample of detecting whether the latest point in series is anomaly.")
# Add your Azure Anomaly Detector subscription key to your environment variables.
endpoint = os.environ.get["ANOMALY_DETECTOR_ENDPOINT"]
try:
client = AnomalyDetectorClient(
endpoint, CognitiveServicesCredentials(subscription_key))
request = get_request()
response = client.last_detect(request)
if response.is_anomaly:
print("The latest point is detected as anomaly.")
else:
print("The latest point is not detected as anomaly.")
except Exception as e:
if isinstance(e, APIErrorException):
print("Error code: {}".format(e.error.code))
print("Error message: {}".format(e.error.message))
else:
print(e)
def last_detect(subscription_key):
print("Sample of detecting whether the latest point in series is anomaly.")
endpoint = "https://{}.api.cognitive.microsoft.com".format(
ANOMALYDETECTOR_LOCATION)
try:
client = AnomalyDetectorClient(
endpoint, CognitiveServicesCredentials(subscription_key))
request = get_request()
response = client.last_detect(request)
if response.is_anomaly:
print("The latest point is detected as anomaly.")
else:
print("The latest point is not detected as anomaly.")
except Exception as e:
if isinstance(e, APIErrorException):
print("Error code: {}".format(e.error.code))
print("Error message: {}".format(e.error.message))
else:
print(e)
def last_detect_sample(endpoint, key):
print('Sample of detecting whether the latest point in series is anomaly.')
client = AnomalyDetectorClient(endpoint, CognitiveServicesCredentials(key))
series = [
Point(timestamp=datetime(1962, 1, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1962, 2, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1962, 3, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1962, 4, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1962, 5, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1962, 6, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1962, 7, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1962, 8, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1962, 9, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1962, 10, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1962, 11, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1962, 12, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1963, 1, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1963, 2, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1963, 3, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1963, 4, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1963, 5, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1963, 6, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1963, 7, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1963, 8, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1963, 9, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1963, 10, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1963, 11, 1, tzinfo=timezone.utc), value=1),
Point(timestamp=datetime(1963, 12, 1, tzinfo=timezone.utc), value=0),
]
data = Request(series=series,
granularity=Granularity.monthly,
sensitivity=95,
max_anomaly_ratio=0.25)
response = client.last_detect(data)
if response.is_anomaly:
print('The latest point is detected as anomaly.')
else:
print('The latest point is not detected as anomaly.')
print(e)
if True in response.is_anomaly:
print('An anomaly was detected at index:')
for i in range(len(response.is_anomaly)):
if response.is_anomaly[i]:
print(i)
else:
print('No anomalies were detected in the time series.')
# </detectAnomaliesBatch>
# Detect the anomaly status of the latest data point
# <latestPointDetection>
print('Detecting the anomaly status of the latest data point.')
try:
response = client.last_detect(request)
except Exception as e:
if isinstance(e, APIErrorException):
print('Error code: {}'.format(e.error.code),
'Error message: {}'.format(e.error.message))
else:
print(e)
if response.is_anomaly:
print('The latest point is detected as anomaly.')
else:
print('The latest point is not detected as anomaly.')
# </latestPointDetection>