def main():
setupLogging()
args = parseArguments()
job_id = args.jobid
# Create the REST API client
engine_client = EngineApiClient(args.host, BASE_URL, args.port)
# Get all the buckets up to now
logging.info("Get result buckets for job " + job_id)
(http_status_code, response) = engine_client.getAllBuckets(job_id,
include_records=False,
anomaly_score_filter_value=args.anomalyScore,
normalized_probability_filter_value=args.normalizedProbability)
if http_status_code != 200:
print (http_status_code, json.dumps(response))
return
printHeader()
printBuckets(response)
if args.continue_poll:
if len(response) > 0:
next_bucket_id = int(response[-1]['id']) + 1
else:
next_bucket_id = None
while True:
# Wait POLL_INTERVAL_SECS then query for any new buckets
time.sleep(POLL_INTERVAL_SECS)
(http_status_code, response) = engine_client.getBucketsByDate(job_id=job_id,
start_date=str(next_bucket_id), end_date=None,
include_records=False,
anomaly_score_filter_value=args.anomalyScore,
normalized_probability_filter_value=args.normalizedProbability)
if http_status_code != 200:
print (http_status_code, json.dumps(response))
break
printBuckets(response)
if len(response) > 0:
next_bucket_id = int(response[-1]['id']) + 1
def main():
setupLogging()
args = parseArguments()
# Create the REST API client
engine_client = EngineApiClient(args.host, BASE_URL, args.port)
job_config = '{"analysisConfig" : {\
"bucketSpan":3600,\
"detectors" :[{"function":"metric","fieldName":"responsetime","byFieldName":"airline"}] },\
"dataDescription" : {"fieldDelimiter":",", "timeField":"time", "timeFormat":"yyyy-MM-dd HH:mm:ssX"} }'
logging.info("Creating job")
(http_status_code, response) = engine_client.createJob(job_config)
if http_status_code != 201:
print(http_status_code, json.dumps(response))
return
job_id = response['id']
logging.info("Uploading data to " + job_id)
file = open(args.file, 'rb')
(http_status_code, response) = engine_client.upload(job_id, file)
if http_status_code != 202:
print(http_status_code, json.dumps(response))
return
logging.info("Closing job " + job_id)
(http_status_code, response) = engine_client.close(job_id)
if http_status_code != 202:
print(http_status_code, json.dumps(response))
return
logging.info("Get result buckets for job " + job_id)
(http_status_code, response) = engine_client.getAllBuckets(job_id)
if http_status_code != 200:
print(http_status_code, json.dumps(response))
else:
print "Date,Anomaly Score,Max Normalized Probablility"
for bucket in response:
print "{0},{1},{2}".format(bucket['timestamp'],
bucket['anomalyScore'],
bucket['maxNormalizedProbability'])
def main():
setupLogging()
args = parseArguments()
# Create the REST API client
engine_client = EngineApiClient(args.host, BASE_URL, args.port)
job_config = '{"analysisConfig" : {\
"bucketSpan":3600,\
"detectors" :[{"function":"metric","fieldName":"responsetime","byFieldName":"airline"}] },\
"dataDescription" : {"fieldDelimiter":",", "timeField":"time", "timeFormat":"yyyy-MM-dd HH:mm:ssX"} }'
logging.info("Creating job")
(http_status_code, response) = engine_client.createJob(job_config)
if http_status_code != 201:
print (http_status_code, json.dumps(response))
return
job_id = response['id']
logging.info("Uploading data to " + job_id)
file = open(args.file, 'rb')
(http_status_code, response) = engine_client.upload(job_id, file)
if http_status_code != 202:
print (http_status_code, json.dumps(response))
return
logging.info("Closing job " + job_id)
(http_status_code, response) = engine_client.close(job_id)
if http_status_code != 202:
print (http_status_code, json.dumps(response))
return
logging.info("Get result buckets for job " + job_id)
(http_status_code, response) = engine_client.getAllBuckets(job_id)
if http_status_code != 200:
print (http_status_code, json.dumps(response))
else:
print "Date,Anomaly Score,Max Normalized Probablility"
for bucket in response:
print "{0},{1},{2}".format(bucket['timestamp'], bucket['anomalyScore'],
bucket['maxNormalizedProbability'])
def main():
setupLogging()
args = parseArguments()
host = args.host
port = args.port
base_url = BASE_URL
job_id = args.jobid
# Create the REST API client
engine_client = EngineApiClient(host, base_url, port)
# Get all the buckets up to now
logging.info("Get result buckets for job " + job_id)
(http_status_code, response) = engine_client.getAllBuckets(job_id)
if http_status_code != 200:
print (http_status_code, json.dumps(response))
return
print "Date,BucketId,AnomalyScore"
for bucket in response:
print "{0},{1},{2}".format(bucket['timestamp'], bucket['id'], bucket['anomalyScore'])
if len(response) > 0:
next_bucket_id = int(response[-1]['id']) + 1
else:
next_bucket_id = None
# Wait POLL_INTERVAL_SECS then query for any new buckets
while True:
time.sleep(POLL_INTERVAL_SECS)
(http_status_code, response) = engine_client.getBucketsByDate(job_id=job_id,
start_date=str(next_bucket_id), end_date=None)
if http_status_code != 200:
print (http_status_code, json.dumps(response))
break
for bucket in response:
print "{0},{1},{2}".format(bucket['timestamp'], bucket['id'], bucket['anomalyScore'])
if len(response) > 0:
next_bucket_id = int(response[-1]['id']) + 1
