Source code for insights.parsers.numa_cpus

NUMACpus - file ``/sys/devices/system/node/node[0-9]*/cpulist``

This parser will parse the content from cpulist file, from individual
NUMA nodes. This parser will return data in (dict) format.

Sample Content from ``/sys/devices/system/node/node0/cpulist``::


    >>> type(numa_cpus_obj)
    <class 'insights.parsers.numa_cpus.NUMACpus'>
    >>> numa_cpus_obj.numa_node_name
    >>> numa_cpus_obj.numa_node_details() == {'numa_node_range': ['0-6', '14-20'], 'total_cpus': 14, 'numa_node_name': 'node0'}
    >>> numa_cpus_obj.numa_node_cpus
    ['0-6', '14-20']
    >>> numa_cpus_obj.total_numa_node_cpus

from insights import Parser, parser, LegacyItemAccess
from insights.specs import Specs
from insights.parsers import SkipException

[docs]@parser(Specs.numa_cpus) class NUMACpus(LegacyItemAccess, Parser): """ Parse `/sys/devices/system/node/node[0-9]*/cpulist` file, return a dict which contains total number of CPUs per numa node. """
[docs] def parse_content(self, content): if (not content) or (not self.file_path): raise SkipException("No Contents") = {} self._cpu_ranges = [] self.numa_node = self.file_path.rsplit("/")[-2] if self.file_path else None for line in content: total_cpus = 0 self._cpu_ranges = line.split(',')['numa_node_range'] = self._cpu_ranges['numa_node_name'] = self.numa_node if '-' in self._cpu_ranges[0]: for cpu_range in self._cpu_ranges: lower_num = int(cpu_range.split('-')[0]) higher_num = int(cpu_range.split('-')[1]) ncpus = (higher_num - lower_num + 1) total_cpus = total_cpus + ncpus else: total_cpus = len(self._cpu_ranges)['total_cpus'] = total_cpus
@property def numa_node_name(self): """ (str): It will return the CPU node name when set, else `None`. """ return self.numa_node if self.numa_node else None @property def numa_node_cpus(self): """ (list): It will return list of CPUs present under NUMA node when set, else `None`. """ return self._cpu_ranges if self._cpu_ranges else None @property def total_numa_node_cpus(self): """ (int): It will return total number of CPUs per NUMA node """ return['total_cpus'] if 'total_cpus' in else None
[docs] def numa_node_details(self): """ (dict): it will return the number of CPUs per NUMA, NUMA node name, CPU range, when set, else `None`. """ return if else None