def collect(self):
metrics = self._get_metrics()
if metrics:
for k, v in metrics.items():
metric = Metric(k, k, 'counter')
labels = {}
labels.update(self._labels)
metric.add_sample(k, value=v, labels=labels)
if metric.samples:
yield metric
else:
pass
def collect(self):
pewdiepie = 'pewdiepie'
tseries = 'tseries'
youtube_key = 'YOUR_API_KEY'
endpoint = 'https://www.googleapis.com/youtube/v3/channels?part=statistics&forUsername='******'YOUTUBE_HOST', endpoint)
status = 'running'
url = youtube_host + pewdiepie + '&key=' + youtube_key
r = requests.get(url, verify=False)
try:
#create pewdiepie metric
metric = Metric('subscriber_count', 'Current number of subs',
'gauge')
metric.add_sample(
'subscriber_count',
value=((
r.json()["items"][0]["statistics"]["subscriberCount"])),
labels={'Channel': 'PewDiePie'})
# yield metric
except:
pass
url = youtube_host + tseries + '&key=' + youtube_key
r = requests.get(url, verify=False)
try:
#create tseries metric
# metric = Metric('tseries_subs', 'Current number of non-bros', 'gauge')
metric.add_sample(
'subscriber_count',
value=((
r.json()["items"][0]["statistics"]["subscriberCount"])),
labels={'Channel': 'Tseries'})
yield metric
except:
pass
def collect(self):
r = requests.get('%s/system/health/v1/units' % self._url,
headers={'Authorization': 'token=' + self._token},
verify=False)
# if failed, refresh token
if r.status_code == 401:
logging.info("Failed auth, getting new auth token")
self.get_token()
self.collect()
else:
healthmetrics = r.json()
for hm in healthmetrics['units']:
logging.info(hm)
hm_removed_periods = hm[u'id'].replace(".", "_")
hm_removed_dashes = hm_removed_periods.replace("-", "_")
metric = Metric(hm_removed_dashes, '', 'gauge')
metric.add_sample(hm_removed_dashes,
value=hm[u'health'],
labels={
'name': hm[u'name'],
'desc': hm[u'description']
})
yield metric
logging.info("%s:%d" % (hm[u'id'], hm[u'health']))
def collect(self):
jsondata = collect(self.jsondata)
metric = Metric(self.metric_name, "{}_{}".format(self.metric_name, self.hostname), 'gauge')
metric.add_sample(self.metric_name, value=jsondata['data']['data']['value'],
labels={ 'host': self.hostname, '{}_subvalue'.format(self.metric_name): 'None',
})
yield metric
def collect(self):
# get metric about control nodes
url = self._endpoint
# Fetch the JSON
response = json.loads(requests.get(url).content.decode('UTF-8'))
metric = Metric('control_node_metrics', 'metrics for control nodes', 'summary')
for entry in response['value']:
name = entry['name']
if ('NodeStatus' in entry['value']):
tmp = entry['value']['NodeStatus']
system_mem_usage = tmp['system_mem_usage']
system_cpu_info = tmp['system_cpu_info']
for k in system_mem_usage:
if (k == 'node_type'):
print ('not')
continue
print(k,type(k))
metric.add_sample('system_mem_usage_'+k, value=system_mem_usage[k], labels={"host_name": name})
for k in system_cpu_info:
metric.add_sample('system_cpu_info_'+k, value=system_cpu_info[k], labels={"host_name": name})
# Export metric
yield metric
def collect(self):
# get metric about control nodes
url = self._endpoint
# Fetch the JSON
response = json.loads(requests.get(url).content.decode('UTF-8'))
json_all_cfdbnode = response['value']
number_cfdbnode = len(json_all_cfdbnode)
# Add metric system_mem_usage_used
metric = Metric('contrail_status', '', 'gauge')
for i in range(number_cfdbnode):
current_json_cfdbnode = json_all_cfdbnode[i]['value']
current_metric = current_json_cfdbnode['NodeStatus']['process_info']
for k in range(len(current_metric)):
metric.add_sample('contrail_status', value = 1, labels = {
'process_name': current_metric[k]['process_name'],
'process_state': current_metric[k]['process_state'],
'last_start_time': current_metric[k]['last_start_time'],
'config_node': json_all_cfdbnode[i]['name']
})
yield metric
metric = Metric('config_node_avl', 'List of config databases node available', 'gauge')
for i in range(number_cfdbnode):
metric.add_sample('config_node_avl', value = 1, labels = {
'config_host': json_all_cfdbnode[i]['name']
})
yield metric
def parse(self, t: tuple, metrics: list, endpoint, label={}) -> list:
NoneType = type(None)
if isinstance(t[1], (int, float, bool, str, NoneType)):
mtr_d = {}
if self._show_type:
k = self.correct_metric_name(t[0] + '_value')
else:
k = self.correct_metric_name(t[0])
v = t[1]
mtr_d = self.parse_base_turple((k, v), endpoint, label=label)
metric = Metric(mtr_d['name'], '', 'gauge')
metric.add_sample(self._prefix + mtr_d['name'],
value=mtr_d['value'],
labels=mtr_d['labels'])
metrics.append(metric)
if isinstance(t[1], list):
cnt = 0
for i in t[1]:
l = {"index": str(t[1].index(i))}
name = f'{t[0]}_{cnt}'
if self._show_type:
name += '_list'
self.parse((name, i), metrics, endpoint, label=l)
cnt += 1
if isinstance(t[1], dict):
for i in t[1].items():
name = t[0]
if self._show_type:
name += '_dict_'
else:
name += '_'
self.parse((name + i[0], i[1]), metrics, endpoint)
def collect(self):
with lock:
log.info('collecting...')
response = self.client.tickers()
metric = Metric('market', 'crypto currency market metric values',
'gauge')
print(response)
# tick = response["tick"]
#
# best_buy_price = tick["bids"][0][0]
# best_sell_price = tick["asks"][0][0]
#
for k, v in response.items():
metric.add_sample(k, value=v, labels={
"currency": "bitcoin",
})
# metric.add_sample(
# "bitcoin_market",
# value=sum([best_buy_price, best_sell_price]) / 2.0,
# labels={
# "currency": "bitcoin",
# "type": "spot",
# "id": "bitcoin",
# })
yield metric
async def get_wallet_balance(self):
name = "get_wallet_balance"
start = time.time()
print(name + ": Starting")
client = await WalletRpcClient.create("host.docker.internal", 9256,
Path("/root/.chia/mainnet"),
self.config)
wallets = await client.get_wallets()
height_info = await client.get_height_info()
metric1 = Metric('chia_wallet_balance', "Wallet balance", "summary")
for wallet in wallets:
results = await client.get_wallet_balance(wallet["id"])
metric1.add_sample('chia_wallet_balance',
value=results["confirmed_wallet_balance"],
labels={"wallet_id": str(wallet["id"])})
metric2 = Metric('chia_wallet_height', 'Block Height of Chia Wallet',
'summary')
metric2.add_sample('chia_wallet_height', value=height_info, labels={})
client.close()
print(name + ": Done in " + str(time.time() - start) + " seconds")
return [metric1, metric2]
def collect(self):
url = self._endpoint
response = json.loads(requests.get(url).content.decode('UTF-8'))
json_all_bgp = response['value']
metric = Metric('bgp_state_info', '', 'gauge')
for i in range(len(json_all_bgp)):
cbgp = json_all_bgp[i]['value']
conn = json_all_bgp[i]['name'].split(':')
snode = conn[4]
dnode = conn[9]
if ('BgpPeerInfoData' in cbgp
and 'state_info' in cbgp['BgpPeerInfoData']):
metric.add_sample(
'bgp_state_info',
value=1,
labels={
'bgp_last_state':
cbgp['BgpPeerInfoData']['state_info']['last_state'],
'bgp_state':
cbgp['BgpPeerInfoData']['state_info']['state'],
'control_node':
snode,
'peer':
dnode
})
yield metric
def collect(self):
# Fetch the JSON
#response = json.loads(requests.get(self._endpoint).content.decode('UTF-8'))
# fetch json from file
json_data = open("./indices").read()
#This function will summarize each index pattern. The return would be a list with each indice group
#For example, for a group of indice called customer-metrics-*, a regex like '(.*-metrics).*' will return 'customer-metrics'
indicesGroups = summarizeIndices(json_data, indicesPattern)
#Call the function sum the total size in bytes of each indiceGroup. The return will be a dict with 1st group of match and they values
indicesGroupSizes = collectIndicesGroupSizes(indicesGroups, json_data,
indicesPattern)
#Metric es_group_indices_size
metric = Metric('es_group_indices_size', 'Size of a group of indices',
'gauge')
#Run the indicesGroupSizes dict and add those infos at metric
for labelValue, sizeValue in indicesGroupSizes.items():
metric.add_sample('es_group_indices_size',
value=sizeValue,
labels={'group': labelValue})
#Exporse the metric
yield metric
def collect(self):
cache_keys = {
'total_csize': 'Compressed size',
'total_size': 'Original size',
'unique_csize': 'Deduplicated size'
}
repo_keys = {'last_modified': 'Last backup date'}
for d in self.dirs:
host = basename(d)
data = json.loads(
subprocess.check_output(['/usr/bin/borg', 'info', d,
'--json']))
stats = data['cache']['stats']
for key, desc in cache_keys.items():
mkey = f'borg_{key}'
metric = Metric(mkey, desc, 'gauge')
metric.add_sample(mkey,
value=stats[key],
labels={'host': host})
yield metric
repo = data['repository']
for key, desc in repo_keys.items():
mkey = f'borg_{key}'
metric = Metric(mkey, desc, 'gauge')
diff = datetime.now() - datetime.fromisoformat(repo[key])
value = 0 if diff.days < 0 else diff.days
metric.add_sample(mkey, value=value, labels={'host': host})
yield metric
def collect(self):
response = self._get_metrics()
if self._exclude:
self.filter_exclude()
for i in self._metric_collect:
metric = Metric(i['name'], i['name'], i['metric_type'])
for m in i['collect']:
labels = {}
labels.update(self._labels)
labels.update({'original_metric': m['metric_name']})
if m.get('label'):
labels.update(m['label'])
try:
metric.add_sample(i['name'],
value=response[m['metric_name']],
labels=labels)
except KeyError:
pass
if metric.samples:
yield metric
else:
pass
def collect(self):
# query the api
r = requests.get(self.endpoint)
request_time = r.elapsed.total_seconds()
log.info('elapsed time -' + str(request_time))
response = json.loads(r.text[r.text.index("(") + 1:r.text.rindex(")")])
metric = Metric(
'spotinstance_api_response_time',
'Total time for the AWS Spot Instance API to respond.', 'summary')
# add the response time as a metric
metric.add_sample('spotinstance_api_response_time',
value=float(request_time),
labels={'name': 'AWS Spot Instance Pricing API'})
yield metric
metric = Metric('spotinstance', 'spot instance pricing', 'gauge')
# each['region'] = us-east
for each in response['config']['regions']:
# each['sizes'] = list of instance sizes
for that in each['instanceTypes']:
for it in that['sizes']:
if it['valueColumns'][0]['prices']['USD'] != 'N/A*':
metric.add_sample(
'spotinstance',
value=float(
it['valueColumns'][0]['prices']['USD']),
labels={
'region': each['region'],
'size': it['size'].replace('.', '_')
})
yield metric
def collect(self):
# query the api
r = requests.get(self.endpoint)
request_time = r.elapsed.total_seconds()
log.info('elapsed time -' + str(request_time))
response = json.loads(r.content.decode('UTF-8'))
# setup the metric
metric = Metric('coinmarketcap_response_time',
'Total time for the coinmarketcap API to respond.',
'summary')
# add the response time as a metric
metric.add_sample('coinmarketcap_response_time',
value=float(request_time),
labels={'name': 'coinmarketcap.com'})
yield metric
metric = Metric('coin_market', 'coinmarketcap metric values', 'gauge')
for each in response:
for that in [
'rank', 'price_usd', 'price_btc', '24h_volume_usd',
'market_cap_usd', 'available_supply', 'total_supply',
'percent_change_1h', 'percent_change_24h',
'percent_change_7d'
]:
coinmarketmetric = '_'.join(['coin_market', that])
if each[that] is not None:
metric.add_sample(coinmarketmetric,
value=float(each[that]),
labels={
'id': each['id'],
'name': each['name'],
'symbol': each['symbol']
})
yield metric
def collect(self):
# Fetch the JSON
peer_info = merged_peer_info(self.wg)
peer_metadata = get_peer_metadata()
for iface in peer_info:
metric = Metric(f"interface_info_{iface['iface']}",
'interface_information', 'summary')
for peer in iface['peers']:
peer.update(peer_metadata.get(peer['public_key'], {}))
for k, v in peer.items():
if k not in [
'latency_ms', 'packet_loss', 'rx_bytes', 'tx_bytes'
]:
continue
metric.add_sample(f"iface_information_{k}",
value=str(v),
labels={
'hostname':
os.environ.get(
'SYNTROPY_AGENT_NAME',
socket.gethostname()),
'ifname':
iface['iface'],
'peer':
peer['public_key'],
'internal_ip':
peer['internal_ip'],
"device_id":
peer.get('device_id'),
"device_name":
peer.get('device_name'),
"device_public_ipv4":
peer.get('device_public_ipv4')
})
yield metric
def collect(self):
cache_keys = {
"total_csize": "Compressed size",
"total_size": "Original size",
"unique_csize": "Deduplicated size",
}
repo_keys = {"last_modified": "Last backup date"}
for d in self.dirs:
host = basename(d)
data = json.loads(
subprocess.check_output(["/usr/bin/borg", "info", d, "--json"],
input=b"y"))
stats = data["cache"]["stats"]
for key, desc in cache_keys.items():
mkey = f"borg_{key}"
metric = Metric(mkey, desc, "gauge")
metric.add_sample(mkey,
value=stats[key],
labels={"host": host})
yield metric
repo = data["repository"]
for key, desc in repo_keys.items():
mkey = f"borg_{key}"
metric = Metric(mkey, desc, "gauge")
diff = datetime.now() - datetime.strptime(
repo[key], "%Y-%m-%dT%H:%M:%S.%f")
value = 0 if diff.seconds < 0 else diff.seconds
metric.add_sample(mkey, value=value, labels={"host": host})
yield metric
async def get_pricing(self):
name = "get_pricing"
start = time.time()
print(name + ": Starting")
try:
resp = requests.get(
"https://coinmarketcap.com/currencies/chia-network/")
soup = BeautifulSoup(resp.content, features="lxml")
usd_price = float(
soup.find_all("div",
class_="priceValue___11gHJ")[0].text[1:].replace(
",", ""))
vol_24hr = float(
soup.find_all("div",
class_="statsValue___2iaoZ")[2].text[1:].replace(
",", ""))
metric1 = Metric('chia_usd_price', 'Chia USD Price', "summary")
metric1.add_sample('chia_usd_price', value=usd_price, labels={})
metric2 = Metric('chia_24hr_volume_usd',
'Chia 24 Hour Volume Traded', "summary")
metric2.add_sample('chia_24hr_volume_usd',
value=vol_24hr,
labels={})
except Exception as e:
print(name + ": Failed to run. Error follows")
print(e)
return []
print(name + ": Done in " + str(time.time() - start) + " seconds")
return [metric1, metric2]
def collect(self):
# Fetch the JSON
response = json.loads(
requests.get(self._endpoint).content.decode('UTF-8'))
# Metrics with labels for the documents loaded
metric = Metric('svc_fps', 'Requests failed', 'gauge')
metric.add_sample('svc_fps', value=response, labels={})
yield metric
def collect(self):
metric = Metric("hh", "help", 'histogram')
# This is not sane, but it covers all the cases.
metric.add_sample("hh_bucket", {"le": "1"}, 0, None, Exemplar({'a': 'b'}, 0.5))
metric.add_sample("hh_bucket", {"le": "2"}, 0, None, Exemplar({'le': '7'}, 0.5, 12))
metric.add_sample("hh_bucket", {"le": "3"}, 0, 123, Exemplar({'a': 'b'}, 2.5, 12))
metric.add_sample("hh_bucket", {"le": "4"}, 0, None, Exemplar({'a': '\n"\\'}, 3.5))
metric.add_sample("hh_bucket", {"le": "+Inf"}, 0, None, None)
yield metric
def collect(self):
# get metric about control nodes
urls = self._endpoint
metric = Metric('contrail_status', '', 'gauge')
# Fetch the JSON
for j in range(len(urls)):
response = json.loads(
requests.get(urls[j]).content.decode('UTF-8'))
json_all_node = response['value']
number_node = len(json_all_node)
# Add metric system_mem_usage_used
# metric = Metric('contrail_status', '', 'gauge')
for i in range(number_node):
current_json_node = json_all_node[i]['value']
if ('NodeStatus' in current_json_node
and 'process_info' in current_json_node['NodeStatus']):
current_metric = current_json_node['NodeStatus'][
'process_info']
for k in range(len(current_metric)):
metric.add_sample(
'contrail_status',
value=1 if current_metric[k]['process_state']
== 'PROCESS_STATE_RUNNING' else 0,
labels={
'process_name':
current_metric[k]['process_name'],
'process_state':
current_metric[k]['process_state'],
'last_start_time':
current_metric[k]['last_start_time'],
'node':
re.sub('.local', '', json_all_node[i]['name']),
'node_type':
re.sub(r'[:-]', '_', self._node[j])
})
yield metric
# Metric
for j in range(len(urls)):
response = json.loads(
requests.get(urls[j]).content.decode('UTF-8'))
json_all_node = response['value']
number_node = len(json_all_node)
metric = Metric(re.sub(r'[:-]', '_', self._node[j]),
'List of node available', 'gauge')
for k in range(number_node):
metric.add_sample(
re.sub(r'[:-]', '_', self._node[j]),
value=1,
labels={'config_host': json_all_node[k]['name']})
yield metric
def collect(self):
with lock:
# query the api
response = self.client.quote()
metric = Metric('coin_market_quote', 'coinmarketcap quote', 'gauge')
coinmarketmetric = f'coin_market_quote_{currency}'
quote = response['data'][self.symbol]['quote'][currency]
metric.add_sample(coinmarketmetric, value=float(quote['price']), labels={'symbol': self.symbol})
yield metric
def _get_scrape_duration_metric(self, start_time):
metric = Metric(
'trafficserver_scrape_duration_seconds',
'Time the Traffic Server scrape took, in seconds.',
'gauge')
metric.add_sample(
'trafficserver_scrape_duration_seconds',
value=time.time() - start_time,
labels={})
return metric
def getMetrics(self,port):
metrics=[]
data={"fast": random.random(),"slow": random.random()}
for index in range(100):
metric = Metric("svcs_"+str(index)+"_"+ str(port)+"_documents_loaded", 'Help text', 'gauge')
for k, v in data.items():
metric.add_sample("svcs_"+str(index)+"_"+ str(port)+"_documents_loaded",value=v, labels={'repository': k})
metrics.append(metric)
#metrics.append(GaugeMetricFamily("svcs_"+str(index)+"_"+ str(port)+"_documents_loaded", 'Help text', value=random.random()))
return metrics
def collect(self):
packages = checkupdates()
metric = Metric('arch_checkupdates', 'Arch Linux Packages out of date', 'gauge')
metric.add_sample('arch_checkupdates', value=(packages), labels={})
yield metric
security_issues = vulernablepackges()
metric = Metric('arch_audit', 'Arch Audit Packages', 'gauge')
metric.add_sample('arch_audit', value=(security_issues), labels={})
yield metric
def collect(self):
bmp = BMP085(0x77)
temp = bmp.readTemperature()
pressure = bmp.readPressure()
temp_metric = Metric('bmp180_temp', 'BMP180 temperature', 'gauge')
temp_metric.add_sample('bmp180_temp', value=temp, labels={})
yield temp_metric
pressure_metric = Metric('bmp180_pressure', 'BMP180 pressure', 'gauge')
pressure_metric.add_sample('bmp180_pressure', value=pressure, labels={})
yield pressure_metric
def collect(self):
start_time = datetime.datetime.now()
ret = self.kube_metrics()
end_time = datetime.datetime.now()
total_time = (end_time - start_time).total_seconds()
nodes = ret['nodes']
pods = ret['pods']
metrics_nodes_mem = Metric('kube_metrics_server_nodes_mem', 'Metrics Server Nodes Memory', 'gauge')
metrics_nodes_cpu = Metric('kube_metrics_server_nodes_cpu', 'Metrics Server Nodes CPU', 'gauge')
metrics_response_time = Metric('kube_metrics_server_response_time', 'Metrics Server API Response Time', 'gauge')
metrics_response_time.add_sample('kube_metrics_server_response_time', value=total_time, labels={ 'api_url': '{}/metrics.k8s.io'.format(self.api_url) })
yield metrics_response_time
for node in nodes.get('items', []):
node_instance = node['metadata']['name']
node_cpu = node['usage']['cpu']
node_cpu = node_cpu.translate(str.maketrans('', '', string.ascii_letters))
node_mem = node['usage']['memory']
node_mem = node_mem.translate(str.maketrans('', '', string.ascii_letters))
metrics_nodes_mem.add_sample('kube_metrics_server_nodes_mem', value=int(node_mem), labels={ 'instance': node_instance })
metrics_nodes_cpu.add_sample('kube_metrics_server_nodes_cpu', value=int(node_cpu), labels={ 'instance': node_instance })
yield metrics_nodes_mem
yield metrics_nodes_cpu
metrics_pods_mem = Metric('kube_metrics_server_pods_mem', 'Metrics Server Pods Memory', 'gauge')
metrics_pods_cpu = Metric('kube_metrics_server_pods_cpu', 'Metrics Server Pods CPU', 'gauge')
for pod in pods.get('items', []):
pod_name = pod['metadata']['name']
pod_namespace = pod['metadata']['namespace']
pod_container_mem = 0
pod_container_cpu = 0
pod_container_name = ""
for container in pod['containers']:
pod_container_name = container['name']
pod_container_cpu = container['usage']['cpu']
pod_container_cpu = pod_container_cpu.translate(str.maketrans('', '', string.ascii_letters))
pod_container_mem = container['usage']['memory']
pod_container_mem = pod_container_mem.translate(str.maketrans('', '', string.ascii_letters))
if not any(blacklisted in self.names_blacklist for blacklisted in [pod_container_name, pod_name, pod_namespace]):
metrics_pods_mem.add_sample('kube_metrics_server_pods_mem', value=int(pod_container_mem), labels={ 'pod_name': pod_name, 'pod_namespace': pod_namespace, 'pod_container_name': pod_container_name })
metrics_pods_cpu.add_sample('kube_metrics_server_pods_cpu', value=int(pod_container_cpu), labels={ 'pod_name': pod_name, 'pod_namespace': pod_namespace, 'pod_container_name': pod_container_name })
yield metrics_pods_mem
yield metrics_pods_cpu
def _get_scrape_duration_metric(self, start_time):
metric = Metric(
"trafficserver_scrape_duration_seconds",
"Time the Traffic Server scrape took, in seconds.",
"gauge",
)
metric.add_sample(
"trafficserver_scrape_duration_seconds",
value=time.time() - start_time,
labels={},
)
return metric
def collect(self):
# define environment variables
zabbix_exp_url = os.environ.get('ZABBIX_EXP_URL', 'http://localhost/')
zabbix_exp_username = os.environ.get('ZABBIX_EXP_USERNAME', 'Admin')
zabbix_exp_password = os.environ.get('ZABBIX_EXP_PASSWORD', 'zabbix')
zapi = ZabbixAPI(zabbix_exp_url)
zapi.login(zabbix_exp_username, zabbix_exp_password)
# create a prometheus metric
metric = Metric('zabbix_warning', 'Current Zabbix Warning Count',
'gauge')
# Get a list of all issues (AKA tripped triggers)
triggers = zapi.trigger.get(
only_true=1,
skipDependent=1,
monitored=1,
active=1,
output='extend',
expandDescription=1,
selectHosts=['host'],
)
# Do another query to find out which issues are Unacknowledged
unack_triggers = zapi.trigger.get(
only_true=1,
skipDependent=1,
monitored=1,
active=1,
output='extend',
expandDescription=1,
selectHosts=['host'],
withLastEventUnacknowledged=1,
)
unack_trigger_ids = [t['triggerid'] for t in unack_triggers]
for t in triggers:
t['unacknowledged'] = True if t['triggerid'] in unack_trigger_ids \
else False
# Print a list containing only "tripped" triggers
# Sum triggers which value is 1
warn_cnt = 0
for t in triggers:
if int(t['value']) == 1:
warn_cnt += 1
# append data to the metric
metric.add_sample('zabbix_warning', value=int(warn_cnt), labels={})
yield metric
def collect(self):
print 'Go to localhost'
user1 = os.popen(
"mpstat -P ALL 1 1 | awk '/Average:/ && $2 ~ /[a-z]/ {print $3}'"
).readline().strip()
nice1 = os.popen(
"mpstat -P ALL 1 1 | awk '/Average:/ && $2 ~ /[a-z]/ {print $4}'"
).readline().strip()
syst = os.popen(
"mpstat -P ALL 1 1 | awk '/Average:/ && $2 ~ /[a-z]/ {print $5}'"
).readline().strip()
iowait1 = os.popen(
"mpstat -P ALL 1 1 | awk '/Average:/ && $2 ~ /[a-z]/ {print $6}'"
).readline().strip()
idle1 = os.popen(
"mpstat -P ALL 1 1 | awk '/Average:/ && $2 ~ /[a-z]/ {print $12}'"
).readline().strip()
metric = Metric('Utilization_at_user_level',
'Percentage of utilization at user level', 'summary')
metric.add_sample('Utilization_at_user_level',
value=float(user1),
labels={})
yield metric
metric = Metric(
'Utilization_at_user_level_nicepriority',
'Percentage of utilization at user level with nice priority',
'summary')
metric.add_sample('Utilization_at_user_level_nicepriority',
value=float(nice1),
labels={})
yield metric
metric = Metric('Utilization_at_kernel_level',
'Percentage of utilization at kernel level', 'summary')
metric.add_sample('Utilization_at_kernel_level',
value=float(syst),
labels={})
yield metric
metric = Metric('IO_Wait', 'Time for which Cput is waiting for IO',
'summary')
metric.add_sample('Utilization_at_kernel_level',
value=float(iowait1),
labels={})
yield metric
metric = Metric('time_when_cpu_idle', 'Time for which Cpu was idle',
'summary')
metric.add_sample('time_when_cpu_idle', value=float(idle1), labels={})
yield metric
def collect(self):
self.metrics = self._get_metrics()
if self.metrics:
for k, v in self.metrics.items():
metric = Metric(k, k, 'gauge')
labels = {}
metric.add_sample(k, value=v, labels=labels)
if metric.samples:
yield metric
else:
pass
def collect(self):
Symbols = [ 'GOOG', 'CSCO', 'BABA', 'APPL', 'IBM', 'GLOB' ]
#Symbols = [ 'GOOG' ]
strSymbols = cat_to_string(Symbols)
JSp = GoogleFinanceAPI()
if JSp.get(strSymbols):
#JSp.Quotes2Stdout() # // Show a little data, just for testing
JSp.JsonQot2Obj()
metric = Metric('stock_quotes', 'stock quotes last price', 'gauge')
for quote in JSp.QuotesList:
# Convert quotes to metric
metric.add_sample('stock_quotes', value=float(quote.Last), labels={'symbol': quote.Symbol})
yield metric
def _parse_volume_metrics(self, data, volume):
metric = Metric(
'trafficserver_cache_avail_size_bytes_total',
'Total cache available.',
'gauge')
metric.add_sample(
'trafficserver_cache_avail_size_bytes_total',
value=data[('proxy.process.cache.volume_{0}.'
'bytes_used').format(volume)],
labels={'volume': str(volume)})
yield metric
metric = Metric(
'trafficserver_cache_used_bytes_total',
'Total cache used in bytes.',
'gauge')
metric.add_sample(
'trafficserver_cache_used_bytes_total',
value=data[('proxy.process.cache.volume_{0}.'
'bytes_total').format(volume)],
labels={'volume': str(volume)})
yield metric
metric = Metric(
'trafficserver_cache_operations_total',
'Cache operation count.',
'counter')
for op in ('lookup', 'read', 'write', 'update', 'remove',
'evacuate', 'scan', 'read_busy'):
for result in ('success', 'failure'):
k = 'proxy.process.cache.volume_{volume}.{op}.{result}'.format(
volume=volume, op=op, result=result)
metric.add_sample(
'trafficserver_cache_operations_total',
value=data[k],
labels={'volume': str(volume),
'operation': op,
'result': result})
yield metric
def parse_metrics(self, data):
"""Generator for trafficserver metrics."""
# Counter for server restarts
metric = Metric(
'trafficserver_restart_count',
'Count of traffic_server restarts.',
'counter')
metric.add_sample(
'trafficserver_restart_count',
value=data['proxy.node.restarts.proxy.restart_count'],
labels={})
yield metric
#
# HTTP
#
# Connections
metric = Metric(
'trafficserver_connections_total',
'Connection count.',
'counter')
metric.add_sample(
'trafficserver_connections_total',
value=data['proxy.process.http.total_client_connections'],
labels={'source': 'client',
'protocol': 'http'})
metric.add_sample(
'trafficserver_connections_total',
value=data['proxy.process.http.total_server_connections'],
labels={'source': 'server',
'protocol': 'http'})
metric.add_sample(
'trafficserver_connections_total',
value=data['proxy.process.http.total_parent_proxy_connections'],
labels={'source': 'parent_proxy',
'protocol': 'http'})
yield metric
# Incoming requests
metric = Metric(
'trafficserver_requests_incoming',
'Incoming requests.',
'gauge')
metric.add_sample(
'trafficserver_requests_incoming',
value=data['proxy.process.http.incoming_requests'],
labels={'protocol': 'http'})
yield metric
# Client aborts
metric = Metric(
'trafficserver_error_client_aborts_total',
'Client aborts.',
'counter')
metric.add_sample(
'trafficserver_client_aborts_total',
value=data['proxy.process.http.err_client_abort_count_stat'],
labels={'protocol': 'http'})
yield metric
# Connect fails
metric = Metric(
'trafficserver_connect_failures_total',
'Connect failures.',
'counter')
metric.add_sample(
'trafficserver_connect_failures_total',
value=data['proxy.process.http.err_connect_fail_count_stat'],
labels={'protocol': 'http'})
yield metric
# Transaction count
metric = Metric(
'trafficserver_transactions_total',
'Total transactions.',
'counter')
metric.add_sample(
'trafficserver_transactions_total',
value=data[('proxy.node.http.'
'user_agents_total_transactions_count')],
labels={'source': 'user_agent',
'protocol': 'http'})
metric.add_sample(
'trafficserver_transactions_total',
value=data[('proxy.node.http.'
'origin_server_total_transactions_count')],
labels={'source': 'origin_server',
'protocol': 'http'})
yield metric
# Transaction time spent, total
metric = Metric(
'trafficserver_transactions_time_ms_total',
'Total transaction time (ms).',
'counter')
metric.add_sample(
'trafficserver_transactions_time_total',
value=data['proxy.process.http.total_transactions_time'],
labels={})
yield metric
# Transaction time spent, hits
metric = Metric(
'trafficserver_hit_transaction_time_ms_total',
'Total cache hit transaction time (ms).',
'counter')
metric.add_sample(
'trafficserver_hit_transaction_time_ms_total',
value=data['proxy.process.http.transaction_totaltime.hit_fresh'],
labels={'state': 'fresh',
'protocol': 'http'})
metric.add_sample(
'trafficserver_hit_transaction_time_ms_total',
value=data[('proxy.process.http.transaction_totaltime.'
'hit_revalidated')],
labels={'state': 'revalidated',
'protocol': 'http'})
yield metric
# Transaction time spent, misses
metric = Metric(
'trafficserver_miss_transaction_time_ms_total',
'Total cache miss transaction time (ms).',
'counter')
metric.add_sample(
'trafficserver_miss_transaction_time_ms_total',
value=data['proxy.process.http.transaction_totaltime.miss_cold'],
labels={'state': 'cold',
'protocol': 'http'})
metric.add_sample(
'trafficserver_miss_transaction_time_ms_total',
value=data[('proxy.process.http.transaction_totaltime.'
'miss_not_cacheable')],
labels={'state': 'not_cacheable',
'protocol': 'http'})
metric.add_sample(
'trafficserver_miss_transaction_time_ms_total',
value=data[('proxy.process.http.transaction_totaltime.'
'miss_changed')],
labels={'state': 'changed',
'protocol': 'http'})
metric.add_sample(
'trafficserver_miss_transaction_time_ms_total',
value=data[('proxy.process.http.transaction_totaltime.'
'miss_client_no_cache')],
labels={'state': 'no_cache',
'protocol': 'http'})
yield metric
# Transaction time spent, errors
metric = Metric(
'trafficserver_error_transaction_time_ms_total',
'Total cache error transaction time (ms).',
'counter')
metric.add_sample(
'trafficserver_error_transaction_time_ms_total',
value=data[('proxy.process.http.transaction_totaltime.errors.'
'aborts')],
labels={'state': 'abort',
'protocol': 'http'})
metric.add_sample(
'trafficserver_error_transaction_time_ms_total',
value=data[('proxy.process.http.transaction_totaltime.errors.'
'possible_aborts')],
labels={'state': 'possible_abort',
'protocol': 'http'})
metric.add_sample(
'trafficserver_error_transaction_time_ms_total',
value=data[('proxy.process.http.transaction_totaltime.errors.'
'connect_failed')],
labels={'state': 'connect_failed',
'protocol': 'http'})
metric.add_sample(
'trafficserver_error_transaction_time_ms_total',
value=data[('proxy.process.http.transaction_totaltime.errors.'
'other')],
labels={'state': 'other',
'protocol': 'http'})
yield metric
# Transaction time spent, other
metric = Metric(
'trafficserver_other_transaction_time_ms_total',
'Total other/unclassified transaction time (ms).',
'counter')
metric.add_sample(
'trafficserver_other_transaction_time_ms_total',
value=data[('proxy.process.http.transaction_totaltime.other.'
'unclassified')],
labels={'state': 'unclassified',
'protocol': 'http'})
yield metric
# Transaction count, hits
metric = Metric(
'trafficserver_transaction_hits_total',
'Transaction hit counts.',
'counter')
metric.add_sample(
'trafficserver_transaction_hits_total',
value=data[('proxy.process.http.transaction_counts.'
'hit_fresh')],
labels={'state': 'fresh',
'protocol': 'http'})
metric.add_sample(
'trafficserver_transaction_hits_total',
value=data[('proxy.process.http.transaction_counts.'
'hit_revalidated')],
labels={'state': 'revalidated',
'protocol': 'http'})
# Zero labels (misses)
metric.add_sample(
'trafficserver_transaction_hits_total',
value='0',
labels={'state': 'cold',
'protocol': 'http'})
metric.add_sample(
'trafficserver_transaction_hits_total',
value='0',
labels={'state': 'not_cacheable',
'protocol': 'http'})
metric.add_sample(
'trafficserver_transaction_hits_total',
value='0',
labels={'state': 'changed',
'protocol': 'http'})
yield metric
# Transaction count, misses
metric = Metric(
'trafficserver_transaction_misses_total',
'Transaction miss counts.',
'counter')
metric.add_sample(
'trafficserver_transaction_misses_total',
value=data[('proxy.process.http.transaction_counts.'
'miss_cold')],
labels={'state': 'cold',
'protocol': 'http'})
metric.add_sample(
'trafficserver_transaction_misses_total',
value=data[('proxy.process.http.transaction_counts.'
'miss_not_cacheable')],
labels={'state': 'not_cacheable',
'protocol': 'http'})
metric.add_sample(
'trafficserver_transaction_misses_total',
value=data[('proxy.process.http.transaction_counts.'
'miss_changed')],
labels={'state': 'changed',
'protocol': 'http'})
# Zero labels (hits)
metric.add_sample(
'trafficserver_transaction_misses_total',
value='0',
labels={'state': 'fresh',
'protocol': 'http'})
metric.add_sample(
'trafficserver_transaction_misses_total',
value='0',
labels={'state': 'revalidated',
'protocol': 'http'})
yield metric
# Transaction count, errors
metric = Metric(
'trafficserver_transaction_errors_total',
'Transaction error counts.',
'counter')
metric.add_sample(
'trafficserver_transaction_errors_total',
value=data[('proxy.process.http.transaction_counts.errors.'
'aborts')],
labels={'state': 'abort',
'protocol': 'http'})
metric.add_sample(
'trafficserver_transaction_errors_total',
value=data[('proxy.process.http.transaction_counts.errors.'
'possible_aborts')],
labels={'state': 'possible_abort',
'protocol': 'http'})
metric.add_sample(
'trafficserver_transaction_errors_total',
value=data[('proxy.process.http.transaction_counts.errors.'
'connect_failed')],
labels={'state': 'connect_failed',
'protocol': 'http'})
metric.add_sample(
'trafficserver_transaction_errors_total',
value=data[('proxy.process.http.transaction_counts.errors.'
'other')],
labels={'state': 'other',
'protocol': 'http'})
yield metric
# Transaction count, others
metric = Metric(
'trafficserver_transaction_others_total',
'Transaction other/unclassified counts.',
'counter')
metric.add_sample(
'trafficserver_transaction_others_total',
value=data[('proxy.process.http.transaction_counts.other.'
'unclassified')],
labels={'state': 'unclassified',
'protocol': 'http'})
yield metric
# HTTP Responses
metric = Metric(
'trafficserver_responses_total',
'Response count.',
'counter')
for code in TS_RESPONSE_CODES:
key = 'proxy.process.http.{code}_responses'.format(code=code)
metric.add_sample(
'trafficserver_responses_total',
value=data[key],
labels={'code': code,
'protocol': 'http'})
yield metric
# HTTP Requests
metric = Metric(
'trafficserver_requests_total',
'Request count.',
'counter')
for method in HTTP_VERBS_LOWER:
key = 'proxy.process.http.{method}_requests'.format(method=method)
metric.add_sample(
'trafficserver_requests_total',
value=data[key],
labels={'method': method,
'protocol': 'http'})
yield metric
# Invalid requests
metric = Metric(
'trafficserver_client_requests_invalid_total',
'Invalid client requests.',
'counter')
metric.add_sample(
'trafficserver_client_requests_invalid_total',
value=data['proxy.process.http.invalid_client_requests'],
labels={'protocol': 'http'})
yield metric
# Requests without Host header
metric = Metric(
'trafficserver_client_requests_missing_host_hdr_total',
'Client requests missing host header.',
'counter')
metric.add_sample(
'trafficserver_client_requests_missing_host_hdr_total',
value=data['proxy.process.http.missing_host_hdr'],
labels={'protocol': 'http'})
yield metric
# Request size
metric = Metric(
'trafficserver_request_size_bytes_total',
'Request size in bytes.',
'counter')
metric.add_sample(
'trafficserver_request_size_bytes_total',
value=data['proxy.node.http.user_agent_total_request_bytes'],
labels={'source': 'user_agent',
'protocol': 'http'})
metric.add_sample(
'trafficserver_request_size_bytes_total',
value=data['proxy.node.http.origin_server_total_request_bytes'],
labels={'source': 'origin_server',
'protocol': 'http'})
metric.add_sample(
'trafficserver_request_size_bytes_total',
value=data['proxy.node.http.parent_proxy_total_request_bytes'],
labels={'source': 'parent_proxy',
'protocol': 'http'})
yield metric
# Response size
metric = Metric(
'trafficserver_response_size_bytes_total',
'Response size in bytes.',
'counter')
metric.add_sample(
'trafficserver_response_size_bytes_total',
value=data['proxy.node.http.user_agent_total_response_bytes'],
labels={'source': 'user_agent',
'protocol': 'http'})
metric.add_sample(
'trafficserver_response_size_bytes_total',
value=data['proxy.node.http.origin_server_total_response_bytes'],
labels={'source': 'origin_server',
'protocol': 'http'})
metric.add_sample(
'trafficserver_response_size_bytes_total',
value=data['proxy.node.http.parent_proxy_total_response_bytes'],
labels={'source': 'parent_proxy',
'protocol': 'http'})
yield metric
#
# Cache
#
# Gather all cache volumes for cache statistics
volumes = set()
for key in data:
if key.startswith('proxy.process.cache.volume_'):
m = CACHE_VOLUMES.match(key)
volumes.add(int(m.group(1)))
# Create all cache volume metrics
for volume in volumes:
for metric in self._parse_volume_metrics(data, volume):
yield metric
metric = Metric(
'trafficserver_ram_cache_hits_total',
'RAM cache hit count.',
'counter')
metric.add_sample(
'trafficserver_ram_cache_hits_total',
value=data['proxy.process.cache.ram_cache.hits'],
labels={'volume': str(volume)})
yield metric
metric = Metric(
'trafficserver_ram_cache_misses_total',
'RAM cache miss count.',
'counter')
metric.add_sample(
'trafficserver_ram_cache_misses_total',
value=data['proxy.process.cache.ram_cache.misses'],
labels={})
yield metric
metric = Metric(
'trafficserver_ram_cache_avail_size_bytes_total',
'RAM cache available in bytes.',
'gauge')
metric.add_sample(
'trafficserver_ram_cache_avail_size_bytes_total',
value=data['proxy.process.cache.ram_cache.total_bytes'],
labels={})
yield metric
metric = Metric(
'trafficserver_ram_cache_used_bytes_total',
'RAM cache used in bytes.',
'gauge')
metric.add_sample(
'trafficserver_ram_cache_used_bytes_total',
value=data['proxy.process.cache.ram_cache.bytes_used'],
labels={})
yield metric
def collect(self):
metric = Metric("nonnumber", "Non number", 'untyped')
metric.add_sample("nonnumber", {}, MyNumber())
yield metric
