def read_system_stats()

in elasticapm/metrics/sets/cpu_linux.py [0:0]

• 35 lines of code
• 11 McCabe index (conditional complexity)

    def read_system_stats(self):
        stats = {}
        with open(self.sys_stats_file, "r") as pidfile:
            for line in pidfile:
                if line.startswith("cpu "):
                    fields = whitespace_re.split(line)[1:-1]
                    num_fields = len(fields)
                    # Not all fields are available on all platforms (e.g. RHEL 6 does not provide steal, guest, and
                    # guest_nice. If a field is missing, we default to 0
                    f = {field: int(fields[i]) if i < num_fields else 0 for i, field in enumerate(CPU_FIELDS)}
                    stats["cpu_total"] = float(
                        f["user"]
                        + f["nice"]
                        + f["system"]
                        + f["idle"]
                        + f["iowait"]
                        + f["irq"]
                        + f["softirq"]
                        + f["steal"]
                    )
                    stats["cpu_usage"] = stats["cpu_total"] - (f["idle"] + f["iowait"])
                    break
        if self.cgroup_files:
            if self.cgroup_files.limit:
                with open(self.cgroup_files.limit, "r") as memfile:
                    stats["cgroup_mem_total"] = int(memfile.readline())
            if self.cgroup_files.usage:
                with open(self.cgroup_files.usage, "r") as memfile:
                    usage = int(memfile.readline())
                    stats["cgroup_mem_used"] = usage
        with open(self.memory_stats_file, "r") as memfile:
            for line in memfile:
                metric_name = line.split(":")[0]
                if metric_name in MEM_FIELDS:
                    value_in_bytes = int(whitespace_re.split(line)[1]) * 1024
                    stats[metric_name] = value_in_bytes
        return stats