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# -------------------------------------------------------------------
# 宝塔Linux面板
# -------------------------------------------------------------------
# Copyright (c) 2015-2099 宝塔软件(http://bt.cn) All rights reserved.
# -------------------------------------------------------------------
# Author: wzz <wzz@bt.cn>
# -------------------------------------------------------------------
import time,json
# ------------------------------
# Docker模型
# ------------------------------
import public
from btdockerModel import dk_public as dp
from btdockerModel.dockerBase import dockerBase
class main(dockerBase):
__stats_tmp = dict()
__docker = None
def docker_client(self, url):
if not self.__docker:
self.__docker = dp.docker_client(url)
return self.__docker
def io_stats(self, stats, write=None):
drive_io = stats['blkio_stats']['io_service_bytes_recursive']
if drive_io:
if len(drive_io) <= 2:
try:
now = drive_io[0]['value']
self.__stats_tmp['read_total'] = now
except:
self.__stats_tmp['read_total'] = 0
try:
now = drive_io[1]['value']
self.__stats_tmp['write_total'] = now
except:
self.__stats_tmp['write_total'] = 0
else:
try:
now = drive_io[0]['value'] + drive_io[2]['value']
self.__stats_tmp['read_total'] = now
except:
self.__stats_tmp['read_total'] = 0
try:
now = drive_io[1]['value'] + drive_io[3]['value']
self.__stats_tmp['write_total'] = now
except:
self.__stats_tmp['write_total'] = 0
if write:
self.__stats_tmp['container_id'] = stats['id']
self.write_io(self.__stats_tmp)
def net_stats(self, stats, cache, write=None):
try:
net_io = stats['networks']['eth0']
net_io_old = cache['networks']['eth0']
except:
self.__stats_tmp['rx_total'] = 0
self.__stats_tmp['rx'] = 0
self.__stats_tmp['tx_total'] = 0
self.__stats_tmp['tx'] = 0
if write:
self.__stats_tmp['container_id'] = stats['id']
self.write_net(self.__stats_tmp)
return
time_now = stats["time"]
time_old = cache["time"]
try:
now = net_io["rx_bytes"]
self.__stats_tmp['rx_total'] = now
old = net_io_old["rx_bytes"]
self.__stats_tmp['rx'] = int((now - old) / (time_now - time_old))
except:
self.__stats_tmp['rx_total'] = 0
self.__stats_tmp['rx'] = 0
try:
now = net_io["tx_bytes"]
old = net_io_old["tx_bytes"]
self.__stats_tmp['tx_total'] = now
self.__stats_tmp['tx'] = int((now - old) / (time_now - time_old))
except:
self.__stats_tmp['tx_total'] = 0
self.__stats_tmp['tx'] = 0
if write:
self.__stats_tmp['container_id'] = stats['id']
self.write_net(self.__stats_tmp)
# return data
def mem_stats(self, stats, write=None):
mem = stats['memory_stats']
try:
self.__stats_tmp['limit'] = mem['limit']
self.__stats_tmp['usage_total'] = mem['usage']
if 'cache' not in mem['stats']:
mem['stats']['cache'] = 0
self.__stats_tmp['usage'] = mem['usage'] - mem['stats']['cache']
self.__stats_tmp['cache'] = mem['stats']['cache']
# data['mem_useage'] = round(mem['usage'] * 100 / data['limit'],2)
except:
# return public.get_error_info()
self.__stats_tmp['limit'] = 0
self.__stats_tmp['usage'] = 0
self.__stats_tmp['cache'] = 0
self.__stats_tmp['usage_total'] = 0
# data['mem_useage'] = 0
if write:
self.__stats_tmp['container_id'] = stats['id']
self.write_mem(self.__stats_tmp)
# return data
def cpu_stats(self, stats, write=None):
# cpu_limit = dp.sql('container').where("c_id=?",(stats['id'],)).find()
# if cpu_limit:
# cpu_limit = cpu_limit['cpu_limit']
# else:
# cpu_limit = 1
try:
cpu = stats['cpu_stats']['cpu_usage']['total_usage'] - stats[
'precpu_stats']['cpu_usage']['total_usage']
except:
cpu = 0
try:
system = stats['cpu_stats']['system_cpu_usage'] - stats[
'precpu_stats']['system_cpu_usage']
except:
system = 0
try:
self.__stats_tmp['online_cpus'] = stats['cpu_stats']['online_cpus']
except:
self.__stats_tmp['online_cpus'] = 0
if cpu > 0 and system > 0:
self.__stats_tmp['cpu_usage'] = round(
(cpu / system) * 100 * self.__stats_tmp['online_cpus'], 2)
else:
self.__stats_tmp['cpu_usage'] = 0.0
if write:
self.__stats_tmp['container_id'] = stats['id']
self.write_cpu(self.__stats_tmp)
# return data
def stats(self, args):
"""
获取某个容器的cpu,内存,网络io,磁盘io.
:param url
:param id
:param args:
:return:
"""
try:
container = self.docker_client(self._url).containers.get(args.id)
stats = container.stats(decode=None, stream=False)
stats['time'] = time.time()
cache = public.cache_get('stats')
if not cache:
cache = stats
public.cache_set('stats', stats)
write = None
if hasattr(args, "write"):
write = args.write
self.__stats_tmp['expired'] = time.time() - (args.save_date * 86400)
stats['id'] = args.id
import json
from pygments import highlight, lexers, formatters
formatted_json = json.dumps(stats, indent=3)
colorful_json = highlight(formatted_json.encode('utf-8'), lexers.JsonLexer(), formatters.TerminalFormatter())
# print(colorful_json)
self.io_stats(stats, write)
self.net_stats(stats, cache, write)
self.cpu_stats(stats, write)
self.mem_stats(stats, write)
public.cache_set('stats', stats)
self.__stats_tmp['detail'] = stats
if 'dk_status' in args and args.dk_status != 'running':
self.__stats_tmp['read_total'] = 0
self.__stats_tmp['write_total'] = 0
return self.__stats_tmp
except Exception as ex:
if "No such container" in str(ex):
return public.returnMsg(False, '容器不存在,请刷新浏览器后再试!')
return public.returnMsg(False, '获取容器状态失败: ' + str(ex))
def top(self, get):
"""
获取容器内进程信息
@param get:
@return:
"""
container = self.docker_client(self._url).containers.get(get.id)
return container.top()
def write_cpu(self, data):
pdata = {
"time": time.time(),
"cpu_usage": data['cpu_usage'],
"online_cpus": data['online_cpus'],
"container_id": data['container_id']
}
dp.sql("cpu_stats").where("time<?", (self.__stats_tmp['expired'],)).delete()
dp.sql("cpu_stats").insert(pdata)
def write_io(self, data):
pdata = {
"time": time.time(),
"write_total": data['write_total'],
"read_total": data['read_total'],
"container_id": data['container_id']
}
dp.sql("io_stats").where("time<?", (self.__stats_tmp['expired'],)).delete()
dp.sql("io_stats").insert(pdata)
def write_net(self, data):
pdata = {
"time": time.time(),
"tx_total": data['tx_total'],
"rx_total": data['rx_total'],
"tx": data['tx'],
"rx": data['rx'],
"container_id": data['container_id']
}
dp.sql("net_stats").where("time<?", (self.__stats_tmp['expired'],)).delete()
dp.sql("net_stats").insert(pdata)
def write_mem(self, data):
pdata = {
"time": time.time(),
"mem_limit": data['limit'],
"cache": data['cache'],
"usage": data['usage'],
"usage_total": data['usage_total'],
"container_id": data['container_id']
}
dp.sql("mem_stats").where("time<?", (self.__stats_tmp['expired'],)).delete()
dp.sql("mem_stats").insert(pdata)
# 获取某服务器容器总数
def get_container_count(self, args):
return len(self.docker_client(self._url).containers.list())
# 获取监控容器资源并记录每分钟
# 获取Docker总览信息
def get_docker_system_info(self,get):
"""
获取Docker总览信息
:param args:
:return:
"""
result = {
"containers": {
"usage": '-',
"total": '-',
"size": '-', # 容器总大小
},
"images": {
"usage": '-',
"total": '-',
"size": '-', # 镜像总大小
},
"volumes": {
"usage": '-',
"total": '-',
"size": '-', # 卷总大小
},
"networks": {
"usage": 0,
"total": 0,
},
"composes": {
"usage": 0,
"total": 0,
},
"mirrors": 0,
}
system_info = self.docker_client(self._url).info()
result["mirrors"] = len(system_info.get("RegistryConfig", {}).get("IndexConfigs", {}).keys())
dfs,err = public.ExecShell("docker system df --format json")
for df in dfs.split("\n"):
if not df:
continue
try:
df = json.loads(df)
except:
break
if df.get("Type") == "Containers":
result["containers"]["usage"] = df.get("Active", 0)
result["containers"]["total"] = df.get("TotalCount", 0)
result["containers"]["size"] = df.get("Size", 0)
elif df.get("Type") == "Images":
result["images"]["usage"] = df.get("Active", 0)
result["images"]["total"] = df.get("TotalCount", 0)
result["images"]["size"] = df.get("Size", 0)
elif df.get("Type") == "Local Volumes":
result["volumes"]["usage"] = df.get("Active", 0)
result["volumes"]["total"] = df.get("TotalCount", 0)
result["volumes"]["size"] = df.get("Size", 0)
network_info = self.docker_client(self._url).networks.list()
result["networks"]["total"] = len(network_info)
from mod.project.docker.composeMod import main as Compose
dk_compose = Compose()
compose_list = dk_compose.ls(get)
# for compose in compose_list:
# if "exited" in compose.get("Status", ""):
# result["composes"]["usage"] += 1
result["composes"]["total"] = len(compose_list)
# result["composes"]["usage"] = len(compose_list) - result["composes"]["usage"]
return public.returnResult(True,data=result) |