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How to use add_metric method in pyresttest
Best Python code snippet using pyresttest_python
storcli.py
Source:storcli.py 
...44 pass45 print_all_metrics(metric_list)46def handle_sas_controller(response):47 (controller_index, baselabel) = get_basic_controller_info(response)48 add_metric('healthy', baselabel, int(response['Status']['Controller Status'] == 'OK'))49 add_metric('ports', baselabel, response['HwCfg']['Backend Port Count'])50 try:51 # The number of physical disks is half of the number of items in this dict52 # Every disk is listed twice - once for basic info, again for detailed info53 add_metric('physical_drives', baselabel,54 len(response['Physical Device Information'].keys()) / 2)55 except AttributeError:56 pass57 # Split up string to not trigger CodeSpell issues58 add_metric('temperature', baselabel,59 int(response['HwCfg']['ROC temperature(Degree Celc' + 'ius)']))60 for key, basic_disk_info in response['Physical Device Information'].items():61 if 'Detailed Information' in key:62 continue63 create_metrcis_of_physical_drive(basic_disk_info[0],64 response['Physical Device Information'], controller_index)65def handle_megaraid_controller(response):66 (controller_index, baselabel) = get_basic_controller_info(response)67 # BBU Status Optimal value is 0 for cachevault and 32 for BBU68 add_metric('battery_backup_healthy', baselabel,69 int(response['Status']['BBU Status'] in [0, 32]))70 add_metric('degraded', baselabel, int(response['Status']['Controller Status'] == 'Degraded'))71 add_metric('failed', baselabel, int(response['Status']['Controller Status'] == 'Failed'))72 add_metric('healthy', baselabel, int(response['Status']['Controller Status'] == 'Optimal'))73 add_metric('drive_groups', baselabel, response['Drive Groups'])74 add_metric('virtual_drives', baselabel, response['Virtual Drives'])75 add_metric('physical_drives', baselabel, response['Physical Drives'])76 add_metric('ports', baselabel, response['HwCfg']['Backend Port Count'])77 add_metric('scheduled_patrol_read', baselabel,78 int('hrs' in response['Scheduled Tasks']['Patrol Read Reoccurrence']))79 add_metric('temperature', baselabel, int(response['HwCfg']['ROC temperature(Degree Celsius)']))80 for cvidx, cvinfo in enumerate(response['Cachevault_Info']):81 add_metric('cv_temperature', baselabel + ',cvidx="' + str(cvidx) + '"', int(cvinfo['Temp'].replace('C','')))82 time_difference_seconds = -183 system_time = datetime.strptime(response['Basics'].get('Current System Date/time'),84 "%m/%d/%Y, %H:%M:%S")85 controller_time = datetime.strptime(response['Basics'].get('Current Controller Date/Time'),86 "%m/%d/%Y, %H:%M:%S")87 if system_time and controller_time:88 time_difference_seconds = abs(system_time - controller_time).seconds89 add_metric('time_difference', baselabel, time_difference_seconds)90 for virtual_drive in response['VD LIST']:91 vd_position = virtual_drive.get('DG/VD')92 drive_group, volume_group = -1, -193 if vd_position:94 drive_group = vd_position.split('/')[0]95 volume_group = vd_position.split('/')[1]96 vd_baselabel = 'controller="{}",DG="{}",VG="{}"'.format(controller_index, drive_group,97 volume_group)98 vd_info_label = vd_baselabel + ',name="{}",cache="{}",type="{}",state="{}"'.format(99 str(virtual_drive.get('Name')).strip(),100 str(virtual_drive.get('Cache')).strip(),101 str(virtual_drive.get('TYPE')).strip(),102 str(virtual_drive.get('State')).strip())103 add_metric('vd_info', vd_info_label, 1)104 if response['Physical Drives'] > 0:105 data = get_storcli_json('/cALL/eALL/sALL show all J')106 drive_info = data['Controllers'][controller_index]['Response Data']107 for physical_drive in response['PD LIST']:108 create_metrcis_of_physical_drive(physical_drive, drive_info, controller_index)109def get_basic_controller_info(response):110 controller_index = response['Basics']['Controller']111 baselabel = 'controller="{}"'.format(controller_index)112 controller_info_label = baselabel + ',model="{}",serial="{}",fwversion="{}"'.format(113 str(response['Basics']['Model']).strip(),114 str(response['Basics']['Serial Number']).strip(),115 str(response['Version']['Firmware Version']).strip(),116 )117 add_metric('controller_info', controller_info_label, 1)118 return (controller_index, baselabel)119def create_metrcis_of_physical_drive(physical_drive, detailed_info_array, controller_index):120 enclosure = physical_drive.get('EID:Slt').split(':')[0]121 slot = physical_drive.get('EID:Slt').split(':')[1]122 pd_baselabel = 'controller="{}",enclosure="{}",slot="{}"'.format(controller_index, enclosure,123 slot)124 pd_info_label = pd_baselabel + \125 ',disk_id="{}",interface="{}",media="{}",model="{}",DG="{}",state="{}"'.format(126 str(physical_drive.get('DID')).strip(),127 str(physical_drive.get('Intf')).strip(),128 str(physical_drive.get('Med')).strip(),129 str(physical_drive.get('Model')).strip(),130 str(physical_drive.get('DG')).strip(),131 str(physical_drive.get('State')).strip())132 drive_identifier = 'Drive /c' + str(controller_index) + '/e' + str(enclosure) + '/s' + str(133 slot)134 if enclosure == ' ':135 drive_identifier = 'Drive /c' + str(controller_index) + '/s' + str(slot)136 try:137 info = detailed_info_array[drive_identifier + ' - Detailed Information']138 state = info[drive_identifier + ' State']139 attributes = info[drive_identifier + ' Device attributes']140 settings = info[drive_identifier + ' Policies/Settings']141 add_metric('pd_shield_counter', pd_baselabel, state['Shield Counter'])142 add_metric('pd_media_errors', pd_baselabel, state['Media Error Count'])143 add_metric('pd_other_errors', pd_baselabel, state['Other Error Count'])144 add_metric('pd_predictive_errors', pd_baselabel, state['Predictive Failure Count'])145 add_metric('pd_smart_alerted', pd_baselabel,146 int(state['S.M.A.R.T alert flagged by drive'] == 'Yes'))147 add_metric('pd_link_speed_gbps', pd_baselabel, attributes['Link Speed'].split('.')[0])148 add_metric('pd_device_speed_gbps', pd_baselabel, attributes['Device Speed'].split('.')[0])149 add_metric('pd_commissioned_spare', pd_baselabel,150 int(settings['Commissioned Spare'] == 'Yes'))151 add_metric('pd_emergency_spare', pd_baselabel, int(settings['Emergency Spare'] == 'Yes'))152 pd_info_label += ',firmware="{}"'.format(attributes['Firmware Revision'].strip())153 except KeyError:154 pass155 add_metric('pd_info', pd_info_label, 1)156def add_metric(name, labels, value):157 global metric_list158 try:159 metric_list[name].append({160 'labels': labels,161 'value': float(value),162 })163 except ValueError:164 pass165def print_all_metrics(metrics):166 for metric, measurements in metrics.items():167 print('# HELP {}{} MegaRAID {}'.format(metric_prefix, metric, metric.replace('_', ' ')))168 print('# TYPE {}{} gauge'.format(metric_prefix, metric))169 for measurement in measurements:170 if measurement['value'] != 'Unknown':...
metrics.py
Source:metrics.py
...15 This is the metric class that is used as a data structure as well as for16 the formatting and sending of cloudwatch metrics.17 """18 _metrics = {}19 def add_metric(self, key, value, unit='Percent'):20 """This will get the format the metrics correctly for cloudwatch."""21 if unit not in self._metrics:22 self._metrics[unit] = {}23 self._metrics[unit].update({key: value})24 def get_auto_scaling_group_name(self, instance_id, region):25 """This will get the autoscaling data to send to cloudwatch."""26 autoscale = boto3.client('autoscaling', region_name=region)27 response = autoscale.describe_auto_scaling_instances(28 InstanceIds=[29 instance_id,30 ]31 )32 if len(response) > 0:33 for key in response['AutoScalingInstances']:34 return key['AutoScalingGroupName']35 def send(self):36 """This will send the data to cloudwatch."""37 metadata = get_instance_metadata()38 instance_id = metadata['instance-id']39 region = metadata['placement']['availability-zone'][0:-1]40 cloudwatch = boto3.client('cloudwatch', region_name=region)41 group = self.get_auto_scaling_group_name(instance_id, region)42 for (unit, metrics) in self._metrics.items():43 for key in metrics.keys():44 response = cloudwatch.put_metric_data(45 Namespace='EC2',46 MetricData=[47 {48 'MetricName': key,49 'Dimensions': [50 {51 'Name': 'InstanceId',52 'Value': instance_id53 },54 ],55 'Value': metrics[key],56 'Unit': unit57 },58 ]59 )60 if group:61 response = cloudwatch.put_metric_data(62 Namespace='EC2',63 MetricData=[64 {65 'MetricName': key,66 'Dimensions': [67 {68 'Name': 'AutoScalingGroup',69 'Value': group70 },71 ],72 'Value': metrics[key],73 'Unit': unit74 },75 ]76 )77def disk_partitions(disk_ntuple, all=False):78 """Return all mountd partitions as a named tuple.79 If all == False return physical partitions only.80 """81 phydevs = []82 if os.path.exists('/proc/filesystems'):83 my_file = open('/proc/filesystems', 'r')84 for line in my_file:85 if not line.startswith('nodev'):86 phydevs.append(line.strip())87 else:88 print ('path does not exist: /proc/filesystems')89 retlist = []90 if os.path.exists('/etc/mtab'):91 my_file = open('/etc/mtab', 'r')92 for line in my_file:93 if not all and line.startswith('none'):94 continue95 fields = line.split()96 device = fields[0]97 mountpoint = fields[1]98 fstype = fields[2]99 if not all and fstype not in phydevs:100 continue101 if device == 'none':102 device = ''103 ntuple = disk_ntuple(device, mountpoint, fstype)104 retlist.append(ntuple)105 else:106 print ('path does not exist: /etc/mtab')107 return retlist108def disk_usage(path, usage_ntuple):109 """Return disk usage associated with path."""110 my_fs_stats = os.statvfs(path)111 free = (my_fs_stats.f_bavail * my_fs_stats.f_frsize)112 total = (my_fs_stats.f_blocks * my_fs_stats.f_frsize)113 used = (my_fs_stats.f_blocks - my_fs_stats.f_bfree) * my_fs_stats.f_frsize114 try:115 percent = (float(used) / total) * 100116 except ZeroDivisionError:117 percent = 0118 # NB: the percentage is -5% than what shown by df due to119 # reserved blocks that we are currently not considering:120 # http://goo.gl/sWGbH121 return usage_ntuple(total, used, free, round(percent, 1))122def get_process_state(process_name):123 for process in psutil.pids():124 p = psutil.Process(process)125 if p.name() == process_name:126 print (process_name + ":" + p.status())127 return p.status()128 print process_name + ":missing"129 return "missing"130def get_mount_usage(mount_name):131 if os.path.exists(mount_name):132 # print (mount_name + ":", psutil.disk_usage(mount_name))133 usage = psutil.disk_usage(mount_name).percent134 print (mount_name + ": %.2f" % usage)135 return "%.2f" % usage136 else:137 print (mount_name + ": missing")138 return 0.00139def get_metrics():140 """This function will gather the main components to send to cloudwatch."""141 disk_ntuple = namedtuple('partition', 'device mountpoint fstype')142 usage_ntuple = namedtuple('usage', 'total used free percent')143 # This is due to cron not having access to the normal environment variables.144 os.environ['HTTP_PROXY'] = 'http://10.192.116.73:8080/'145 os.environ['HTTPS_PROXY'] = 'http://10.192.116.73:8080/'146 os.environ['NO_PROXY'] = '169.254.169.254,127.0.0.1,localhost'147 cpu_load_1_sec = psutil.cpu_percent(interval=1)148 cpu_load_5_sec = psutil.cpu_percent(interval=5)149 cpu_load_15_sec = psutil.cpu_percent(interval=15)150 cpu_load_60_sec = psutil.cpu_percent(interval=60)151 mem_total = psutil.virtual_memory().total / 1024 / 1024152 mem_used = psutil.virtual_memory().used / 1024 / 1024153 mem_utilized = psutil.virtual_memory().percent154 swap_total = psutil.swap_memory().total / 1024 / 1024155 swap_used = psutil.swap_memory().used / 1024 / 1024156 swap_utilized = psutil.swap_memory().percent157 print ("CPU1s : %s" % cpu_load_1_sec)158 print ("CPU5s : %s" % cpu_load_5_sec)159 print ("CPU15s : %s" % cpu_load_15_sec)160 print ("CPU60s : %s" % cpu_load_60_sec)161 print ("Memory_total: %s" % mem_total)162 print ("Memory_used: %s" % mem_used)163 print ("Memory_utilized: %s" % mem_utilized)164 print ("Swap_total: %s" % swap_total)165 print ("Swap_used: %s" % swap_used)166 print ("Swap_utilized: %s" % swap_utilized)167 my_metrics = Metric()168 my_metrics.add_metric('CPU_1s', cpu_load_1_sec)169 my_metrics.add_metric('CPU_5s', cpu_load_5_sec)170 my_metrics.add_metric('CPU_15s', cpu_load_15_sec)171 my_metrics.add_metric('CPU_60s', cpu_load_60_sec)172 my_metrics.add_metric('Memory_total', mem_total)173 my_metrics.add_metric('Memory_user', mem_used)174 my_metrics.add_metric('Memory_utilized', mem_utilized)175 my_metrics.add_metric('Swap_total', swap_total)176 my_metrics.add_metric('Swap_used', swap_used)177 my_metrics.add_metric('Swap_utilized', swap_utilized)178 my_metrics.add_metric('Mount_root_total', psutil.disk_usage("/").total)179 my_metrics.add_metric('Mount_root_available', psutil.disk_usage("/").free)180 my_metrics.add_metric('Mount_root_used', psutil.disk_usage("/").used)181 my_metrics.add_metric('Mount_root_utilized', get_mount_usage("/"))182 my_metrics.add_metric('Mount_/boot', get_mount_usage("/boot"))183 my_metrics.add_metric('Mount_/home', get_mount_usage("/home"))184 my_metrics.add_metric('Mount_/opt', get_mount_usage("/opt"))185 my_metrics.add_metric('Mount_/usr/gems', get_mount_usage("/usr/gems"))186 my_metrics.add_metric('Mount_/usr/openv', get_mount_usage("/usr/openv"))187 my_metrics.add_metric('Mount_/var', get_mount_usage("/var"))188 my_metrics.add_metric('Mount_/dev', get_mount_usage("/dev"))189 my_metrics.add_metric('Mount_/net', get_mount_usage("/net"))190 my_metrics.add_metric('Process_ntpd', get_process_state("ntpd"))191 my_metrics.add_metric('Process_sshd', get_process_state("sshd"))192 my_metrics.add_metric('Process_crond', get_process_state("crond"))193 my_metrics.add_metric('Process_syslogd', get_process_state("syslogd"))194 my_metrics.add_metric('Process_xinetd', get_process_state("xinetd"))195 for part in disk_partitions(disk_ntuple):196 mountpoint = part.mountpoint197 metrics_key = 'DiskUsage_' + mountpoint198 my_metrics.add_metric(metrics_key,199 disk_usage(mountpoint, usage_ntuple).percent)200 my_metrics.send()201if __name__ == '__main__':...
jetson_stats_prometheus_collector.py
Source:jetson_stats_prometheus_collector.py
...42 #43 # Board info 44 #45 i = InfoMetricFamily('jetson_info_board', 'Board sys info', labels=['board_info'])46 i.add_metric(['info'], {47 'machine': self._jetson.board['info']['machine'], 48 'jetpack': self._jetson.board['info']['jetpack'], 49 'l4t': self._jetson.board['info']['L4T']50 })51 yield i52 i = InfoMetricFamily('jetson_info_hardware', 'Board hardware info', labels=['board_hw']) 53 i.add_metric(['hardware'], {54 'type': self._jetson.board['hardware']['TYPE'],55 'codename': self._jetson.board['hardware']['CODENAME'],56 'soc': self._jetson.board['hardware']['SOC'],57 'chip_id': self._jetson.board['hardware']['CHIP_ID'],58 'module': self._jetson.board['hardware']['MODULE'],59 'board': self._jetson.board['hardware']['BOARD'],60 'cuda_arch_bin': self._jetson.board['hardware']['CUDA_ARCH_BIN'],61 'serial_number': self._jetson.board['hardware']['SERIAL_NUMBER']62 })63 yield i64 #65 # NV power mode66 #67 i = InfoMetricFamily('jetson_nvpmode', 'NV power mode', labels=['nvpmode'])68 i.add_metric(['mode'], {'mode': self._jetson.nvpmodel.name})69 yield i70 #71 # System uptime 72 #73 g = GaugeMetricFamily('jetson_uptime', 'System uptime', labels=['uptime'])74 days = self._jetson.uptime.days75 seconds = self._jetson.uptime.seconds76 hours = seconds//360077 minutes = (seconds//60) % 6078 g.add_metric(['days'], days)79 g.add_metric(['hours'], hours)80 g.add_metric(['minutes'], minutes)81 yield g82 #83 # CPU usage 84 #85 g = GaugeMetricFamily('jetson_usage_cpu', 'CPU % schedutil', labels=['cpu'])86 g.add_metric(['cpu_1'], self._jetson.cpu['CPU1']['val'])87 g.add_metric(['cpu_2'], self._jetson.cpu['CPU2']['val'])88 g.add_metric(['cpu_3'], self._jetson.cpu['CPU3']['val'])89 g.add_metric(['cpu_4'], self._jetson.cpu['CPU4']['val'])90 g.add_metric(['cpu_5'], self._jetson.cpu['CPU5']['val'])91 g.add_metric(['cpu_6'], self._jetson.cpu['CPU6']['val'])92 g.add_metric(['cpu_7'], self._jetson.cpu['CPU7']['val'])93 g.add_metric(['cpu_8'], self._jetson.cpu['CPU8']['val'])94 yield g95 # 96 # GPU usage97 #98 g = GaugeMetricFamily('jetson_usage_gpu', 'GPU % schedutil', labels=['gpu'])99 g.add_metric(['val'], self._jetson.gpu['val'])100 # g.add_metric(['frq'], self._jetson.gpu['frq'])101 # g.add_metric(['min_freq'], self._jetson.gpu['min_freq'])102 # g.add_metric(['max_freq'], self._jetson.gpu['max_freq'])103 yield g104 # 105 # RAM usage106 #107 g = GaugeMetricFamily('jetson_usage_ram', 'Memory usage', labels=['ram'])108 g.add_metric(['used'], self._jetson.ram['use'])109 g.add_metric(['shared'], self._jetson.ram['shared'])110 # g.add_metric(['total'], self._jetson.ram['tot'])111 # g.add_metric(['unit'], self._jetson.ram['unit'])112 yield g113 # 114 # Disk usage115 #116 g = GaugeMetricFamily('jetson_usage_disk', 'Disk space usage', labels=['disk'])117 g.add_metric(['used'], self._jetson.disk['used'])118 g.add_metric(['total'], self._jetson.disk['total'])119 g.add_metric(['available'], self._jetson.disk['available'])120 g.add_metric(['available_no_root'], self._jetson.disk['available_no_root'])121 yield g122 # 123 # Fan usage124 #125 g = GaugeMetricFamily('jetson_usage_fan', 'Fan usage', labels=['fan'])126 g.add_metric(['speed'], self._jetson.fan['speed'])127 # g.add_metric(['measure'], self._jetson.fan['measure'])128 # g.add_metric(['auto'], self._jetson.fan['auto'])129 # g.add_metric(['rpm'], self._jetson.fan['rpm'])130 # g.add_metric(['mode'], self._jetson.fan['mode'])131 yield g132 # 133 # Swapfile usage134 #135 g = GaugeMetricFamily('jetson_usage_swap', 'Swapfile usage', labels=['swap'])136 g.add_metric(['used'], self._jetson.swap['use'])137 g.add_metric(['total'], self._jetson.swap['tot'])138 # g.add_metric(['unit'], self._jetson.swap['unit'])139 # g.add_metric(['cached_size'], self._jetson.swap['cached']['size'])140 # g.add_metric(['cached_unit'], self._jetson.swap['cached']['unit'])141 yield g142 # 143 # Sensor temperatures144 #145 g = GaugeMetricFamily('jetson_temperatures', 'Sensor temperatures', labels=['temperature'])146 g.add_metric(['ao'], self._jetson.temperature['AO'] if 'AO' in self._jetson.temperature else 0)147 g.add_metric(['gpu'], self._jetson.temperature['GPU'] if 'GPU' in self._jetson.temperature else 0)148 g.add_metric(['tdiode'], self._jetson.temperature['Tdiode'] if 'Tdiode' in self._jetson.temperature else 0)149 g.add_metric(['aux'], self._jetson.temperature['AUX'] if 'AUX' in self._jetson.temperature else 0)150 g.add_metric(['cpu'], self._jetson.temperature['CPU'] if 'CPU' in self._jetson.temperature else 0)151 g.add_metric(['thermal'], self._jetson.temperature['thermal'] if 'thermal' in self._jetson.temperature else 0)152 g.add_metric(['tboard'], self._jetson.temperature['Tboard'] if 'Tboard' in self._jetson.temperature else 0)153 yield g154 # 155 # Power156 #157 g = GaugeMetricFamily('jetson_usage_power', 'Power usage', labels=['power'])158 g.add_metric(['cpu'], self._jetson.power[1]['CPU']['cur'] if 'CPU' in self._jetson.power[1] else 0)159 g.add_metric(['cv'], self._jetson.power[1]['CV']['cur'] if 'CV' in self._jetson.power[1] else 0)160 g.add_metric(['gpu'], self._jetson.power[1]['GPU']['cur'] if 'GPU' in self._jetson.power[1] else 0)161 g.add_metric(['soc'], self._jetson.power[1]['SOC']['cur'] if 'SOC' in self._jetson.power[1] else 0)162 g.add_metric(['sys5v'], self._jetson.power[1]['SYS5V']['cur'] if 'SYS5V' in self._jetson.power[1] else 0)163 g.add_metric(['vddrq'], self._jetson.power[1]['VDDRQ']['cur'] if 'VDDRQ' in self._jetson.power[1] else 0)164 yield g165if __name__ == '__main__':166 parser = argparse.ArgumentParser()167 parser.add_argument('--port', type=int, default=8000, help='Metrics collector port number')168 args = parser.parse_args()169 start_http_server(args.port)170 REGISTRY.register(CustomCollector())171 while True:...
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