def __init__(self, name, init_config, agent_config):
super(Cpu, self).__init__(name, init_config, agent_config)
# psutil.cpu_percent and psutil.cpu_times_percent are called in
# __init__ because the first time these two functions are called with
# interval = 0.0 or None, it will return a meaningless 0.0 value
# which you are supposed to ignore.
psutil.cpu_percent(interval=None, percpu=False)
psutil.cpu_times_percent(interval=None, percpu=False)
def __init__(self, name, init_config, agent_config, instances):
super(Cpu, self).__init__(name, init_config, agent_config, instances=instances)
# psutil.cpu_percent and psutil.cpu_times_percent are called in
# __init__ because the first time these two functions are called with
# interval = 0.0 or None, it will return a meaningless 0.0 value
# which you are supposed to ignore.
psutil.cpu_percent(interval=None, percpu=False)
psutil.cpu_times_percent(interval=None, percpu=False)
def __init__(self, name, init_config, agent_config):
super(Cpu, self).__init__(name, init_config, agent_config)
process_fs_path_config = init_config.get('process_fs_path', None)
if process_fs_path_config:
psutil.PROCFS_PATH = process_fs_path_config
self.log.debug('The path of the process filesystem set to %s', process_fs_path_config)
else:
self.log.debug('The process_fs_path not set. Use default path: /proc')
# psutil.cpu_percent and psutil.cpu_times_percent are called in
# __init__ because the first time these two functions are called with
# interval = 0.0 or None, it will return a meaningless 0.0 value
# which you are supposed to ignore.
psutil.cpu_percent(interval=None, percpu=False)
psutil.cpu_times_percent(interval=None, percpu=False)
def check(self, instance):
"""Capture cpu stats
"""
num_of_metrics = 0
dimensions = self._set_dimensions(None, instance)
if instance is not None:
send_rollup_stats = instance.get("send_rollup_stats", False)
else:
send_rollup_stats = False
cpu_stats = psutil.cpu_times_percent(interval=None, percpu=False)
cpu_times = psutil.cpu_times(percpu=False)
cpu_perc = psutil.cpu_percent(interval=None, percpu=False)
data = {
'cpu.user_perc': cpu_stats.user + cpu_stats.nice,
'cpu.system_perc':
cpu_stats.system + cpu_stats.irq + cpu_stats.softirq,
'cpu.wait_perc': cpu_stats.iowait,
'cpu.idle_perc': cpu_stats.idle,
'cpu.stolen_perc': cpu_stats.steal,
'cpu.percent': cpu_perc,
'cpu.idle_time': cpu_times.idle,
'cpu.wait_time': cpu_times.iowait,
'cpu.user_time': cpu_times.user + cpu_times.nice,
'cpu.system_time':
cpu_times.system + cpu_times.irq + cpu_times.softirq
}
# Call lscpu command to get cpu frequency
self._add_cpu_freq(data)
for key, value in data.items():
if data[key] is None or instance.get(
'cpu_idle_only') and 'idle_perc' not in key:
continue
self.gauge(key, value, dimensions)
num_of_metrics += 1
if send_rollup_stats:
self.gauge('cpu.total_logical_cores',
psutil.cpu_count(logical=True), dimensions)
num_of_metrics += 1
log.debug('Collected {0} cpu metrics'.format(num_of_metrics))
def check(self, instance):
"""Capture cpu stats
"""
num_of_metrics = 0
dimensions = self._set_dimensions(None, instance)
if instance is not None:
send_rollup_stats = instance.get("send_rollup_stats", False)
else:
send_rollup_stats = False
cpu_stats = psutil.cpu_times_percent(interval=None, percpu=False)
cpu_times = psutil.cpu_times(percpu=False)
cpu_perc = psutil.cpu_percent(interval=None, percpu=False)
data = {'cpu.user_perc': cpu_stats.user + cpu_stats.nice,
'cpu.system_perc': cpu_stats.system + cpu_stats.irq + cpu_stats.softirq,
'cpu.wait_perc': cpu_stats.iowait,
'cpu.idle_perc': cpu_stats.idle,
'cpu.stolen_perc': cpu_stats.steal,
'cpu.percent': cpu_perc,
'cpu.idle_time': cpu_times.idle,
'cpu.wait_time': cpu_times.iowait,
'cpu.user_time': cpu_times.user + cpu_times.nice,
'cpu.system_time': cpu_times.system + cpu_times.irq + cpu_times.softirq}
# Call lscpu command to get cpu frequency
self._add_cpu_freq(data)
for key, value in data.items():
if data[key] is None or instance.get('cpu_idle_only') and 'idle_perc' not in key:
continue
self.gauge(key, value, dimensions)
num_of_metrics += 1
if send_rollup_stats:
self.gauge('cpu.total_logical_cores', psutil.cpu_count(logical=True), dimensions)
num_of_metrics += 1
log.debug('Collected {0} cpu metrics'.format(num_of_metrics))