def __init__(self, host, request_type, name, response_time, response_length, exception, status):

self.timestamp = datetime.datetime.utcnow()

self.request_type = request_type

self.name = name

self.response_time = response_time

self.response_length = response_length

self.host = host

self.exception = exception

self.status = status

def get_cw_logs_record(self):

record = {}

timestamp = datetime.datetime.utcnow().strftime("%Y/%m/%d %H:%M:%S.%f UTC")#example: 2016/02/08 16:51:05.123456 CST

message = ""

if self.status == STATUS_SUCCESS:

message = '[timestamp={}] [host={}] [request_type={}] [name={}] [response_time={}] [response_length={}]'.format(timestamp, self.host, self.request_type, self.name, self.response_time, self.response_length)

if self.status == STATUS_FAILURE:

message = '[timestamp={}] [host={}] [request_type={}] [name={}] [response_time={}] [exception={}]'.format(timestamp, self.host, self.request_type, self.name, self.response_time, self.exception)

record = {'timestamp': self.get_seconds()*1000,'message': message}

return record

def get_cw_metrics_status_record(self):

dimensions = self.get_metric_dimensions()

result = {}

if self.status == STATUS_SUCCESS:

result = {

'MetricName': 'ResponseTime_ms',

'Dimensions': dimensions,

'Timestamp': self.timestamp,

'Value': self.response_time,

'Unit': 'Milliseconds'

}

if self.status == STATUS_FAILURE:

result = {

'MetricName': 'FailureCount',

'Dimensions': dimensions,

'Timestamp': self.timestamp,

'Value': 1,

'Unit': 'Count'

}

return result

def get_cw_metrics_response_size_record(self):

dimensions = self.get_metric_dimensions()

result = {}

if self.status == STATUS_SUCCESS:

result = {

'MetricName': 'ResponseSize_Bytes',

'Dimensions': dimensions,

'Timestamp': self.timestamp,

'Value': self.response_length,

'Unit': 'Bytes'

}

return result

def get_cw_metrics_count_record(self):

dimensions = self.get_metric_dimensions()

result = {

'MetricName': 'RequestCount',

'Dimensions': dimensions,

'Timestamp': self.timestamp,

'Value': 1,

'Unit': 'Count'

}

return result

def get_metric_dimensions(self):

result = [{'Name': 'Request','Value': self.name},{'Name': 'Host','Value': self.host}]

return result

def get_seconds(self):

epoch = datetime.datetime.utcfromtimestamp(0)

def __init__(self, host, usercount):

self.host = host

self.usercount = usercount

def get_metric_data(self):

result = []

dimensions = [{'Name': 'Host','Value': self.host}]

result = {

'MetricName': 'UserCount','Dimensions': dimensions,'Timestamp': datetime.datetime.utcnow(),

'Value': self.usercount, 'Unit': 'Count'

}

def __init__(self):

self.eventdict = {}

def start(self,event):

self.eventdict[event] = {}

self.eventdict[event]['start'] = datetime.datetime.now()

self.eventdict[event]['elapsed'] = 0

def evaluate(self, event):

delta = self.eventdict[event]['start'] - datetime.datetime.now()

def finish(self, event):

elapsed = datetime.datetime.now() - self.eventdict[event]['start']

self.eventdict[event]['elapsed'] = elapsed

return elapsed

def elapsed(self,event):

def __init__(self, host, namespace, loggroup, logstream, iamrolearn):

seq = datetime.datetime.now().microsecond

self.loggroup = loggroup

self.logstream = logstream + "_" + str(seq)

self.namespace = namespace #the same namespace is used for both CW Logs and Metrics

self.nexttoken = ""

self.response_queue = Queue()

self.batch_size = 5

self.host = host

self.usercount = None

self.iamrolearn = iamrolearn

self.lastclientrefresh = None

self.init_clients()

if not self.loggroup_exists():

self.cwlogsclient.create_log_group(logGroupName=self.loggroup)

self.cwlogsclient.create_log_stream(logGroupName=self.loggroup,logStreamName=self.logstream)

#TODO: if using roleArn, find a way to refresh the clients every 59 minutes (before the max duration of temp credentials expires)

def init_clients(self):

if self.iamrolearn:

logging.info("Initializing AWS SDK clients using IAM Role:[{}]".format(self.iamrolearn))

stsclient = boto3.client('sts')

stsresponse = stsclient.assume_role(RoleArn=self.iamrolearn, RoleSessionName='cwlocustconnector')

if 'Credentials' in stsresponse:

accessKeyId = stsresponse['Credentials']['AccessKeyId']

secretAccessKey = stsresponse['Credentials']['SecretAccessKey']

sessionToken = stsresponse['Credentials']['SessionToken']

self.cwlogsclient = boto3.client('logs',aws_access_key_id=accessKeyId, aws_secret_access_key=secretAccessKey,aws_session_token=sessionToken)

self.cwclient = boto3.client('cloudwatch',aws_access_key_id=accessKeyId, aws_secret_access_key=secretAccessKey,aws_session_token=sessionToken)

else:

self.cwlogsclient = boto3.client('logs')

self.cwclient = boto3.client('cloudwatch')

self.lastclientrefresh = datetime.datetime.now()

#See the list of Locust events here: http://docs.locust.io/en/latest/api.html#events

def on_locust_start_hatching(self, **kwargs):

"""

Event handler that get triggered when start hatching

"""

logging.info("Started hatching [{}]".format(kwargs))

def on_request_success(self, request_type, name, response_time, response_length, **kwargs):

request_result = RequestResult(self.host, request_type, name, response_time, response_length, "", STATUS_SUCCESS)

self.response_queue.put(request_result)

def on_request_failure(self, request_type, name, response_time, exception, **kwargs):

request_result = RequestResult(self.host, request_type, name, response_time, 0, exception, STATUS_FAILURE)

self.response_queue.put(request_result)

def on_request_error(locust_instance, exception, tb, **kwargs):

"""

Event handler that get triggered on every Locust error

"""

def on_hatch_complete(self, user_count):

#TODO:Register event in CloudWatch Logs

self.usercount = UserCount(host=self.host, usercount=user_count)

self.start_cw_loop()

def on_quitting(user_count):

"""

Event handler that get triggered when when the locust process is exiting

"""

def on_report_to_master(client_id, data):

"""

This event is triggered on the slave instances every time a stats report is

to be sent to the locust master. It will allow us to add our extra content-length

data to the dict that is being sent, and then we clear the local stats in the slave.

"""

def on_slave_report(client_id, data):

"""

This event is triggered on the master instance when a new stats report arrives

from a slave. Here we just add the content-length to the master's aggregated

stats dict.

"""

def loggroup_exists(self):

result = False

response = self.cwlogsclient.describe_log_groups(logGroupNamePrefix=self.loggroup, limit=1)

if len(response['logGroups']): result = True

return result

def start_cw_loop(self):

while True:

awsclientage = datetime.datetime.now() - self.lastclientrefresh

#Refresh AWS clients every 50 minutes, if using an IAM Role (since credentials expire in 1hr)

if self.iamrolearn and awsclientage.total_seconds() > 50*60 :

self.init_clients()

time.sleep(.1)

batch = self.get_batch()

cw_logs_batch = batch['cw_logs_batch']

cw_metrics_batch = batch['cw_metrics_batch']

if cw_logs_batch:

try:

if self.nexttoken:

response = self.cwlogsclient.put_log_events(

logGroupName=self.loggroup, logStreamName=self.logstream,

logEvents=cw_logs_batch,

sequenceToken=self.nexttoken

)

else:

response = self.cwlogsclient.put_log_events(

logGroupName=self.loggroup, logStreamName=self.logstream,

logEvents=cw_logs_batch

)

if 'nextSequenceToken' in response: self.nexttoken = response['nextSequenceToken']

except Exception as e:

logging.error(str(e))

if cw_metrics_batch:

try:

cwresponse = self.cwclient.put_metric_data(Namespace=self.namespace,MetricData=cw_metrics_batch)

logging.debug("PutMetricData response: [{}]".format(json.dumps(cwresponse, indent=4)))

except Exception as e:

logging.error(str(e))

"""

Metric and Log data has to be batched before writing to the CloudWatch API.

"""

def get_batch(self):

result = {}

cw_logs_batch = []

cw_metrics_batch = []

if self.response_queue.qsize() >= self.batch_size:

for i in range(0, self.batch_size):

request_response = self.response_queue.get()

cw_logs_batch.append(request_response.get_cw_logs_record())

cw_metrics_batch.append(request_response.get_cw_metrics_status_record())

cw_metrics_batch.append(request_response.get_cw_metrics_count_record())

if request_response.get_cw_metrics_response_size_record():

cw_metrics_batch.append(request_response.get_cw_metrics_response_size_record())

if self.usercount: cw_metrics_batch.append(self.usercount.get_metric_data())

self.response_queue.task_done()

logging.debug("Queue size:["+str(self.response_queue.qsize())+"]")

result['cw_logs_batch']=cw_logs_batch

result['cw_metrics_batch']=cw_metrics_batch