def check(**kwargs):
''' Grab Zone Analytics from CloudFlare API and determine status '''
jdata = kwargs['jdata']
logger = kwargs['logger']
# Grab and process metrics
metrics = cloudflare.get_zone_analytics(jdata['data']['email'],
jdata['data']['apikey'],
jdata['data']['domain'], logger,
jdata['data']['start_time'], "0")
if not metrics:
return None
time_pattern = "%Y-%m-%dT%H:%M:%SZ"
last_time = int(
time.mktime(time.strptime(metrics['query']['until'], time_pattern)))
time_delta = metrics['query']['time_delta'] * 60
previous_end_time = last_time - time_delta
previous_interval = {}
current_interval = {}
# Grab previous interval from metrics
for stats in metrics['result']['timeseries']:
stats_end_time = int(
time.mktime(time.strptime(stats['until'], time_pattern)))
if stats_end_time == previous_end_time:
previous_interval = stats
elif stats_end_time == last_time:
current_interval = stats
# Calculate whether traffic increased or not
percent = ((float(current_interval['requests']['all']) + 1) /
(float(previous_interval['requests']['all']) + 1)) * 100
msg = "cloudflare-traffic-decrease:"
msg = msg + " current_requests=%s" % str(
current_interval['requests']['all'])
msg = msg + " previous_requests=%s" % str(
previous_interval['requests']['all'])
msg = msg + " percent=%s" % str(percent)
logger.debug(msg)
if percent > 100:
if "true" in jdata['data']['return_value']:
return False
else:
return True
delta = 100 - percent
if delta > float(jdata['data']['threshold']):
if "true" in jdata['data']['return_value']:
return True
else:
return False
else:
if "true" in jdata['data']['return_value']:
return False
else:
return True
def check(**kwargs):
''' Grab Zone Analytics from CloudFlare API and determine status '''
jdata = kwargs['jdata']
logger = kwargs['logger']
# Grab and process metrics
metrics = cloudflare.get_zone_analytics(jdata['data']['email'],
jdata['data']['apikey'],
jdata['data']['domain'],
logger,
jdata['data']['start_time'],
"0")
if not metrics:
return None
time_pattern = "%Y-%m-%dT%H:%M:%SZ"
last_time = int(time.mktime(time.strptime(metrics['query']['until'], time_pattern)))
time_delta = metrics['query']['time_delta'] * 60
previous_end_time = last_time - time_delta
previous_interval = {}
current_interval = {}
# Grab previous interval from metrics
for stats in metrics['result']['timeseries']:
stats_end_time = int(time.mktime(time.strptime(stats['until'], time_pattern)))
if stats_end_time == previous_end_time:
previous_interval = stats
elif stats_end_time == last_time:
current_interval = stats
# Calculate whether traffic increased or not
percent = ((float(current_interval['requests']['all']) + 1) /
(float(previous_interval['requests']['all']) + 1)) * 100
msg = "cloudflare-traffic-decrease:"
msg = msg + " current_requests=%s" % str(current_interval['requests']['all'])
msg = msg + " previous_requests=%s" % str(previous_interval['requests']['all'])
msg = msg + " percent=%s" % str(percent)
logger.debug(msg)
if percent > 100:
if "true" in jdata['data']['return_value']:
return False
else:
return True
delta = 100 - percent
if delta > float(jdata['data']['threshold']):
if "true" in jdata['data']['return_value']:
return True
else:
return False
else:
if "true" in jdata['data']['return_value']:
return False
else:
return True
def check(**kwargs):
''' Grab Zone Analytics from CloudFlare API and determine status '''
jdata = kwargs['jdata']
logger = kwargs['logger']
# Grab and process metrics
metrics = cloudflare.get_zone_analytics(jdata['data']['email'],
jdata['data']['apikey'],
jdata['data']['domain'], logger,
jdata['data']['start_time'], "0")
if not metrics:
return None
time_pattern = "%Y-%m-%dT%H:%M:%SZ"
last_time = int(
time.mktime(time.strptime(metrics['query']['until'], time_pattern)))
time_delta = metrics['query']['time_delta'] * 60
previous_end_time = last_time - time_delta
previous_interval = {}
current_interval = {}
# Grab previous interval from metrics
for stats in metrics['result']['timeseries']:
stats_end_time = int(
time.mktime(time.strptime(stats['until'], time_pattern)))
if stats_end_time == previous_end_time:
previous_interval = stats
elif stats_end_time == last_time:
current_interval = stats
# Verify necessary keys exist
if "http_status" in current_interval['requests']:
# Start comparisons
tally = 0
for key in current_interval['requests']['http_status'].keys():
if key in jdata['data']['codes']:
tally = tally + current_interval['requests']['http_status'][key]
percent = ((float(tally) + 1) /
(float(current_interval['requests']['all']) + 1)) * 100.00
logger.debug("cloudflare-http-codes: requests=" +
str(current_interval['requests']['all']) + " tally=" +
str(tally) + " percent=" + str(percent))
if percent > float(jdata['data']['threshold']):
if "true" in jdata['data']['return_value']:
return True
else:
return False
else:
if "true" in jdata['data']['return_value']:
return False
else:
return True
else:
return None
def check(**kwargs):
''' Grab Zone Analytics from CloudFlare API and determine status '''
jdata = kwargs['jdata']
logger = kwargs['logger']
# Grab and process metrics
metrics = cloudflare.get_zone_analytics(jdata['data']['email'],
jdata['data']['apikey'],
jdata['data']['domain'],
logger,
jdata['data']['start_time'],
"0")
if not metrics:
return None
time_pattern = "%Y-%m-%dT%H:%M:%SZ"
last_time = int(time.mktime(time.strptime(metrics['query']['until'], time_pattern)))
time_delta = metrics['query']['time_delta'] * 60
previous_end_time = last_time - time_delta
previous_interval = {}
current_interval = {}
# Grab previous interval from metrics
for stats in metrics['result']['timeseries']:
stats_end_time = int(time.mktime(time.strptime(stats['until'], time_pattern)))
if stats_end_time == previous_end_time:
previous_interval = stats
elif stats_end_time == last_time:
current_interval = stats
# Verify necessary keys exist
if "http_status" in current_interval['requests']:
# Start comparisons
tally = 0
for key in current_interval['requests']['http_status'].keys():
if key in jdata['data']['codes']:
tally = tally + current_interval['requests']['http_status'][key]
percent = ((float(tally) + 1) / (float(current_interval['requests']['all']) + 1)) * 100.00
logger.debug("cloudflare-http-codes: requests=" + str(current_interval['requests']['all']) +
" tally=" + str(tally) +
" percent=" + str(percent))
if percent > float(jdata['data']['threshold']):
if "true" in jdata['data']['return_value']:
return True
else:
return False
else:
if "true" in jdata['data']['return_value']:
return False
else:
return True
else:
return None
def check(**kwargs):
""" Grab Zone Analytics from CloudFlare API and determine status """
jdata = kwargs["jdata"]
logger = kwargs["logger"]
# Grab and process metrics
metrics = cloudflare.get_zone_analytics(
jdata["data"]["email"],
jdata["data"]["apikey"],
jdata["data"]["domain"],
logger,
jdata["data"]["start_time"],
"0",
)
if not metrics:
return None
time_pattern = "%Y-%m-%dT%H:%M:%SZ"
time_delta = metrics["query"]["time_delta"] * 60
previous_interval = metrics["result"]["timeseries"][-2]
current_interval = metrics["result"]["timeseries"][-1]
# Calculate whether traffic increased or not
percent = (
(float(current_interval["requests"]["all"]) + 1) / (float(previous_interval["requests"]["all"]) + 1)
) * 100
msg = "cloudflare-traffic-decrease:"
msg = msg + " current_requests=%s" % str(current_interval["requests"]["all"])
msg = msg + " previous_requests=%s" % str(previous_interval["requests"]["all"])
msg = msg + " percent=%s" % str(percent)
logger.debug(msg)
if percent > 100:
if "true" in jdata["data"]["return_value"]:
return False
else:
return True
delta = 100 - percent
if delta > float(jdata["data"]["threshold"]):
if "true" in jdata["data"]["return_value"]:
return True
else:
return False
else:
if "true" in jdata["data"]["return_value"]:
return False
else:
return True
def check(**kwargs):
''' Grab Zone Analytics from CloudFlare API and determine status '''
jdata = kwargs['jdata']
logger = kwargs['logger']
# Grab and process metrics
metrics = cloudflare.get_zone_analytics(jdata['data']['email'],
jdata['data']['apikey'],
jdata['data']['domain'],
logger,
jdata['data']['start_time'],
"0")
if not metrics:
return None
time_pattern = "%Y-%m-%dT%H:%M:%SZ"
time_delta = metrics['query']['time_delta'] * 60
previous_interval = metrics['result']['timeseries'][-2]
current_interval = metrics['result']['timeseries'][-1]
# Calculate whether traffic increased or not
percent = ((float(current_interval['requests']['all']) + 1) /
(float(previous_interval['requests']['all']) + 1)) * 100.00
percent = percent - 100
msg = "cloudflare-traffic-increase:"
msg = msg + " current_requests=%s" % str(current_interval['requests']['all'])
msg = msg + " previous_requests=%s" % str(previous_interval['requests']['all'])
msg = msg + " percent=%s" % str(percent)
logger.debug(msg)
if percent > float(jdata['data']['threshold']):
if "true" in jdata['data']['return_value']:
return True
else:
return False
else:
if "true" in jdata['data']['return_value']:
return False
else:
return True
def check(**kwargs):
''' Grab Zone Analytics from CloudFlare API and determine status '''
jdata = kwargs['jdata']
logger = kwargs['logger']
# Grab and process metrics
metrics = cloudflare.get_zone_analytics(jdata['data']['email'],
jdata['data']['apikey'],
jdata['data']['domain'], logger,
jdata['data']['start_time'], "0")
if not metrics:
return None
time_pattern = "%Y-%m-%dT%H:%M:%SZ"
time_delta = metrics['query']['time_delta'] * 60
previous_interval = metrics['result']['timeseries'][-2]
current_interval = metrics['result']['timeseries'][-1]
# Calculate whether traffic increased or not
percent = ((float(current_interval['requests']['all']) + 1) /
(float(previous_interval['requests']['all']) + 1)) * 100.00
percent = percent - 100
msg = "cloudflare-traffic-increase:"
msg = msg + " current_requests=%s" % str(
current_interval['requests']['all'])
msg = msg + " previous_requests=%s" % str(
previous_interval['requests']['all'])
msg = msg + " percent=%s" % str(percent)
logger.debug(msg)
if percent > float(jdata['data']['threshold']):
if "true" in jdata['data']['return_value']:
return True
else:
return False
else:
if "true" in jdata['data']['return_value']:
return False
else:
return True