File size: 6,589 Bytes
3a5cf48 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 | # coding: utf-8
# -------------------------------------------------------------------
# 宝塔Linux面板
# -------------------------------------------------------------------
# Copyright (c) 2015-2099 宝塔软件(http://bt.cn) All rights reserved.
# -------------------------------------------------------------------
# Author: wzz <wzz@bt.cn>
# -------------------------------------------------------------------
# 网站流量模块
# ------------------------------
import json, time, datetime
import public
from panelModel.base import panelBase
class main(panelBase):
# php模块流量快速分析
def get_ip_flows_table_name(self):
current_time = datetime.datetime.now()
formatted_time = current_time.strftime("%Y%m")
return "ip_flows_stat_" + formatted_time
def format_current_time(self, get):
"""
@获取当前时间
@param get:
@return:
"""
query_time_dict = {
"h1": 1,
"l7": 1 * 24 * 6,
"l30": 1 * 24 * 29
}
if get.query_date == "today":
start_date, end_date = self.get_time_interval_min(time.localtime())
elif get.query_date == "yesterday":
start_date, end_date = self.get_time_interval_min(time.localtime(time.time() - 86400))
elif get.query_date in query_time_dict:
current_time = datetime.datetime.now()
one_hour_ago = current_time - datetime.timedelta(hours=query_time_dict[get.query_date])
start_date = one_hour_ago.strftime("%Y%m%d%H%M")
end_date = current_time.strftime("%Y%m%d%H%M")
else:
start_date, end_date = self.get_time_interval_min(time.localtime())
return start_date, end_date
def process_trend_data(self, get, res):
"""
@处理趋势数据
@param get:
@return:
"""
query_time_dict = {
"today": 100,
"yesterday": 100,
"l7": 10000,
"l30": 10000
}
grouped_data = {}
try:
for item in res:
hour = str(int(item["time"]) // query_time_dict[get.query_date])
if hour not in grouped_data:
grouped_data[hour] = {"time": int(hour), "flow": 0}
grouped_data[hour]["flow"] += item["flow"]
except TypeError as e:
print(e)
return []
return self._complete_data(list(grouped_data.values()), get)
def _complete_data(self, data, get):
"""
@补全数据
@param data:
@return:
"""
start_time, end_time = self.format_current_time(get)
if get.query_date == "today" or get.query_date == "yesterday":
time_key = '%Y%m%d%H'
start_time = str(start_time)[0:10]
end_time = str(end_time)[0:10]
delta = datetime.timedelta(hours=1)
elif get.query_date == "l7" or get.query_date == "l30":
time_key = '%Y%m%d'
start_time = str(start_time)[0:8]
end_time = str(end_time)[0:8]
delta = datetime.timedelta(days=1)
elif get.query_date == "h1":
time_key = '%Y%m%d%H%M'
delta = datetime.timedelta(minutes=1)
else:
time_key = '%Y%m%d'
start_time = str(start_time)[0:8]
end_time = str(end_time)[0:8]
delta = datetime.timedelta(days=1)
start_date = datetime.datetime.strptime(str(start_time), time_key)
end_date = datetime.datetime.strptime(str(end_time), time_key)
current_date = start_date
try:
while current_date <= end_date:
current_time = int(current_date.strftime(time_key))
if not any(entry["time"] == current_time for entry in data):
data.append({"time": current_time, "flow": 0})
current_date += delta
except TypeError as e:
print(e)
return []
data.sort(key=lambda x: x["time"])
return data
def get_ip_flow_trend(self, get):
"""
@获取IP流量趋势
@param get:
@return:
"""
try:
start_time, end_time = self.format_current_time(get)
get.db_name = "ip_total.db"
table_name = self.get_ip_flows_table_name()
ts = self._get_ts(get)
if not ts:
return []
ts.table(table_name)
ts.field("time,flow")
ts.where("time between ? and ?", (start_time, end_time))
res = ts.select()
ts.close()
if "h1" in get.query_date:
return self._complete_data(res, get)
return self.process_trend_data(get, res)
except:
return []
def get_ip_flows_areas_info(self, get):
"""
@获取IP流量地区top10信息
@param get:
@return:
"""
start_time, end_time = self.format_current_time(get)
# print(start_time, end_time)
get.db_name = "ip_total.db"
table_name = self.get_ip_flows_table_name()
ts = self._get_ts(get)
if not ts:
return []
query_sql = ("select ip,country,province,city,sum(flow) as flow from {} "
"where time between ? and ? and ip != ''"
"group by ip order by flow desc limit 10").format(table_name)
res = ts.query(query_sql, (start_time, end_time))
ts.close()
# 封装数据
data = []
ip_rules_file = "data/ssh_deny_ip_rules.json"
try:
ip_rules = json.loads(public.readFile(ip_rules_file))
except Exception:
ip_rules = []
try:
for item in res:
deny_status = 1 if item[0] in ip_rules else 0
if deny_status == 0:
panel_ip_deny = public.M('firewall_ip').field("address").select()
for i in panel_ip_deny:
if i["address"] == item[0]:
deny_status = 1
break
data.append({
"ip": item[0],
"country": item[1],
"province": item[2],
"city": item[3],
"flow": item[4],
"deny_status": deny_status
})
except IndexError as e:
print(e)
return []
return data
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