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84
class_v2/btdockerModelV2/screen.py
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84
class_v2/btdockerModelV2/screen.py
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#coding: utf-8
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#-------------------------------------------------------------------
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# YakPanel
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#-------------------------------------------------------------------
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# Copyright (c) 2015-2099 YakPanel(www.yakpanel.com) All rights reserved.
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#-------------------------------------------------------------------
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# Author: zouhw <zhw@yakpanel.com>
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#-------------------------------------------------------------------
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#------------------------------
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# Docker模型
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#------------------------------
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import dk_public as dp
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import time
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class main:
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def get_status(self,args):
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"""
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start_time
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stop_time
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:param args:
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:return:
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"""
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data = dict()
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# 容器总数
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data['container_count'] = self.__get_container_count(args)
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# 镜像信息,镜像总数,占用空间大小
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data['image_info'] = dp.sql("image_infos").where("time>=? and time<=?",(args.start_time,args.stop_time)).select()
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# 主机信息
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data['host'] = len(dp.sql('hosts').select())
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# 1小时内容器占用资源前三平均值
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data['container_top'] = {"cpu":self.__get_cpu_avg(),"mem":self.__get_mem_avg()}
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return data
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def __get_container_count(self,args):
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count = dp.sql('container_count').where("time>=? and time<=?", (args.start_time, args.stop_time)).select()
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if not count:
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return 0
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return count[-1]
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def __get_mem_avg(self):
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now = int(time.time())
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start_time = now - 3600
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data = dp.sql("mem_stats").where("time>=? and time<=?",(start_time,now)).select()
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containers = list()
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info = dict()
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# 获取容器ID
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for d in data:
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containers.append(d['container_id'])
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# 获取每个容器1小时内的cpu使用率总和
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containers = set(containers)
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for c in containers:
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num = 0
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usage = 0
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for d in data:
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if d['container_id'] == c:
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num += 1
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usage += float(d['usage'])
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if num != 0:
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info[c] = usage / num
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return info
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def __get_cpu_avg(self):
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now = int(time.time())
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start_time = now - 3600
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data = dp.sql("cpu_stats").where("time>=? and time<=?",(start_time,now)).select()
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containers = list()
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info = dict()
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# 获取容器ID
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for d in data:
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containers.append(d['container_id'])
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# 获取每个容器1小时内的cpu使用率总和
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containers = set(containers)
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for c in containers:
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num = 0
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cpu_usage = 0
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for d in data:
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if d['container_id'] == c:
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num += 1
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cpu_usage += float(0 if d['cpu_usage'] == '0.0' else d['cpu_usage'])
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if num != 0:
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info[c] = cpu_usage / num
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return info
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