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hbyd_ueba/utils/base_dataclean_pg.py

227 lines
7.4 KiB

#encoding=utf-8
import json
import time,datetime
import traceback
from datetime import datetime, timedelta
import calendar
from esUtil import EsUtil
import pytz
size = 1000# 可以根据实际情况调整
DATA_TYPE = {
"IP": 1,
"ACCOUNT": 2,
"INTERFACE": 3,
"MENU": 4,
}
## IP维度
def get_ip_group_data(index,startTime,endTime):
try:
query_body={
"size": 0,
"query": {
"range": {"timestamp": {"gte": startTime,"lte": endTime}}
},
"aggs": {
"composite_buckets": {
"composite": {
"size": size,
"sources": [
{"sip": { "terms": {"field": "sip"} }},
{"trojan_type": { "terms": { "field": "trojan_type"}}}
]
}
}
}
}
after_key = None
es_util_instance = EsUtil()
datas=[]
while True:
if after_key:
query_body["aggs"]["composite_buckets"]["composite"]["after"] = after_key
try:
response = es_util_instance.search(index,query_body)
except Exception,e:
print "err"
for bucket in response["aggregations"]["composite_buckets"]["buckets"]:
data = {
"data_type": DATA_TYPE.get("IP"),
"count": bucket['doc_count'],
"jobnum": bucket['key']['trojan_type'] ,
"ip":bucket['key']['sip']
}
datas.append(data)
after_key = bucket["key"]
if not response["aggregations"]["composite_buckets"].get("after_key"):
break
after_key = response["aggregations"]["composite_buckets"]["after_key"]
except Exception,e:
print "x_err:"+e.message
return datas
## 账号维度
def get_account_group_data(index,startTime,endTime):
query_body={
"size": 0,
"query": {
"range": {"timestamp": {"gte": startTime,"lte": endTime}}
},
"aggs": {
"composite_buckets": {
"composite": {
"size": size,
"sources": [
{"account": { "terms": {"field": "account"} }},
{"trojan_type": { "terms": { "field": "trojan_type"}}}
]
}
}
}
}
after_key = None
es_util_instance = EsUtil()
datas=[]
while True:
if after_key:
query_body["aggs"]["composite_buckets"]["composite"]["after"] = after_key
response = es_util_instance.search(index,query_body)
for bucket in response["aggregations"]["composite_buckets"]["buckets"]:
#print(bucket['key']['sip'] + ":" + str(bucket['doc_count']))
data = {
"data_type": DATA_TYPE.get("ACCOUNT"),
"account": bucket['key']['account'],
"count": bucket['doc_count'],
"jobnum": bucket['key']['trojan_type']
}
datas.append(data)
after_key = bucket["key"]
if not response["aggregations"]["composite_buckets"].get("after_key"):
break
after_key = response["aggregations"]["composite_buckets"]["after_key"]
return datas
## 接口维度
def get_interface_group_data(index,startTime,endTime):
query_body={
"size": 0,
"query": {
"range": {"timestamp": {"gte": startTime,"lte": endTime}}
},
"aggs": {
"composite_buckets": {
"composite": {
"size": size,
"sources": [
{"interface": { "terms": {"field": "interface"} }},
{"sip": { "terms": { "field": "sip"}}},
{"account": { "terms": { "field": "account"}}},
{"trojan_type": { "terms": { "field": "trojan_type"}}},
]
}
}
}
}
after_key = None
es_util_instance = EsUtil()
datas=[]
while True:
if after_key:
query_body["aggs"]["composite_buckets"]["composite"]["after"] = after_key
response = es_util_instance.search(index,query_body)
for bucket in response["aggregations"]["composite_buckets"]["buckets"]:
#print(bucket['key']['sip'] + ":" + str(bucket['doc_count']))
data = {
"data_type": DATA_TYPE.get("INTERFACE"),
"account": bucket['key']['account'],
"count": bucket['doc_count'],
"jobnum": bucket['key']['trojan_type'] ,
"interface": bucket['key']['interface'] ,
"ip":bucket['key']['sip']
}
datas.append(data)
after_key = bucket["key"]
if not response["aggregations"]["composite_buckets"].get("after_key"):
break
after_key = response["aggregations"]["composite_buckets"]["after_key"]
return datas
## 菜单维度
def get_menu_group_data(index,startTime,endTime):
query_body={
"size": 0,
"query": {
"range": {"timestamp": {"gte": startTime,"lte": endTime}}
},
"aggs": {
"composite_buckets": {
"composite": {
"size": size,
"sources": [
{"worm_family": { "terms": {"field": "worm_family"} }},
{"sip": { "terms": { "field": "sip"}}},
{"account": { "terms": { "field": "account"}}},
{"trojan_type": { "terms": { "field": "trojan_type"}}},
]
}
}
}
}
after_key = None
es_util_instance = EsUtil()
datas=[]
while True:
if after_key:
query_body["aggs"]["composite_buckets"]["composite"]["after"] = after_key
response = es_util_instance.search(index,query_body)
for bucket in response["aggregations"]["composite_buckets"]["buckets"]:
#print(bucket['key']['sip'] + ":" + str(bucket['doc_count']))
data = {
"data_type": DATA_TYPE.get("MENU"),
"account": bucket['key']['account'],
"count": bucket['doc_count'],
"jobnum": bucket['key']['trojan_type'] ,
"ip":bucket['key']['sip'],
"menu_name": bucket['key']['worm_family'],
}
datas.append(data)
after_key = bucket["key"]
if not response["aggregations"]["composite_buckets"].get("after_key"):
break
after_key = response["aggregations"]["composite_buckets"]["after_key"]
return datas
def clean_data(read_index,start,end):
data_ip = get_ip_group_data(read_index,start,end)
print "data_ip:"+str(len(data_ip))
data_account = get_account_group_data(read_index,start,end)
print "data_ip:"+str(len(data_account))
data_interface = get_interface_group_data(read_index,start,end)
print "data_ip:"+str(len(data_interface))
data_menu = get_menu_group_data(read_index,start,end)
print "data_ip:"+str(len(data_menu))
res_data = data_ip+data_account+data_interface+data_menu
#todo 读取上一次5分钟的文件,与这5分钟的文件合并
#合并完成后 写文件
#入口
def entry(start,end):
base_index ="bsa_traffic*"
es_util_instance = EsUtil()
res=es_util_instance.get_available_index_name(start,end,base_index)
if len(res)==0:
return
index =",".join(res)
clean_data(index,start,end)