python垃圾回收，判断内存占用，手动回收内存，二

# coding=utf8
import time
import psutil, gc, commands

from logger_until import LoggerUntil
from until import keep_circulating

logger = LoggerUntil(name="Monitor").getlog(logfilename=‘Monitor.log‘, loglevel=2, add_StreamHandler=1)

need_monitor_procces_names = [  ##需要检测的进程的cmd命令放到这里，支持模糊匹配
    ‘touna0627.py‘,
    ‘dailiip.py‘,
    ‘redis-server‘,
    ‘mongod‘,
]


class Monitor(object):
    def __init__(self):
        self.specified_process_list = self.get_specified_process()
        self.current_process = self.get_current_process()

    @staticmethod
    def print_all_cmdlines():
        for pid in psutil.pids():
            p = psutil.Process(pid)
            print p.cmdline()

    @staticmethod
    def get_specified_process():
        all_pids = psutil.pids()
        process_list = []
        for pid in all_pids:
            p = psutil.Process(pid)
            p_cmdline = p.cmdline()
            for argx in p_cmdline:
                for name in need_monitor_procces_names:
                    if argx.find(name) > -1:
                        if p.status() != ‘stopped‘:
                            process_list.append(p)

        p_pid_set = set()
        process_list2 = []
        for p in process_list:
            if p.pid not in p_pid_set:
                process_list2.append(p)
                p_pid_set.add(p.pid)
        return process_list2

    @staticmethod
    def monitor_system():
        psutil.cpu_percent()
        time.sleep(1)
        mem = psutil.virtual_memory()

        mem_total = mem.total / 1000000
        mem_available = mem.available / 1000000
        mem_percent_str = str(mem.percent) + ‘%‘

        cpu_count = psutil.cpu_count()
        cpu_percent_str = str(psutil.cpu_percent()) + ‘%‘

        msg = ‘本机总内存是：{0}M ， 本机可用内存是：{1}M， 本机内存使用率是：{2}， 本机cpu核数是：{3}， 本机cpu使用率是：{4}\n\n‘.format(mem_total, mem_available, mem_percent_str, cpu_count, cpu_percent_str)
        logger.info(msg)

    def monitor_specified_process(self):
        for p in self.specified_process_list:
            p.cpu_percent(None)
        time.sleep(1)
        for p in self.specified_process_list:
            # p = psutil.Process(0)
            """:type :psutil.Process"""
            cmdline_str = ‘  ‘.join(p.cmdline()).ljust(60, ‘ ‘)
            p_cpu_percent_str = str(round(p.cpu_percent(), 2)) + ‘%‘
            p_memory_percent_str = str(round(p.memory_percent(), 2)) + ‘%‘
            p_strated_time = time.strftime(‘%Y-%m-%d %H:%M:%S‘, time.localtime(p.create_time()))
            p_pid_str = str(p.pid)

            msg = ‘进程‘ + cmdline_str + ‘ 的pid是：‘ + p_pid_str + ‘  cpu使用率是：‘ + p_cpu_percent_str + ‘  内存使用率是：‘ + p_memory_percent_str                   + ‘  进程的启动时间是：‘ + p_strated_time
            logger.info(msg)

    @staticmethod
    def get_current_process():
        return psutil.Process()

    def is_need_release(self,threshold):
        print self.current_process.memory_percent()
        if self.current_process.memory_percent() < threshold:
            return 0
        else:
            logger.info(‘回收当前 %s 进程id的内存‘ % self.current_process.pid)
            return  1

    def free_current_process_memory(self, threshold):
        """回收python所处的当前进程的内存"""
        if self.is_need_release(threshold) == 1:
            gc.collect()

class MemoryReleaser():
    def __init__(self,threshold):
        self.threshold = threshold
        self.stutus, self.output = self.__get_memory_available()

    @staticmethod
    def __get_memory_available():
        status, output = commands.getstatusoutput("free -m | grep Mem | awk  ‘{print $7}‘")  ##shell命令查询计算机可用内存
        return  status, output

    def release_memory(self):
        if float(self.output) < self.threshold:
            logger.info(‘计算机可用内存是 %sM ,程序需要释放内存‘%self.output)
            gc.collect()

@keep_circulating(10)
def monitoring():
    MemoryReleaser(600).release_memory()     ###这一行来释放内存
    monitor = Monitor()
    monitor.monitor_specified_process()
    monitor.monitor_system()

if __name__ == "__main__":
    pass
    a = list(range(10000000))
    del a
    monitoring()