python实现skywalking的trace模块过滤和报警(实例代码)
更新时间：2021年12月10日 16:57:57 作者：Shy01
Skywalking可以对链路追踪到数据进行告警规则配置，例如响应时间、响应百分比等。发送警告通过调用webhook接口完成。webhook接口用户可以自定义。本文给大家介绍python实现skywalking的trace模块过滤和报警，感兴趣的朋友跟随小编一起看看吧
skywalking本身的报警功能，用起来视乎不是特别好用，目前想实现对skywalking的trace中的错误接口进行过滤并报警通知管理员和开发。所以自己就用python对skywalking做了二次数据清洗实现。项目方在了自己了github（https://github.com/shygit-dev/skywalking-cli-python）上了，有兴趣的同学可以做二次改造，共同学习。下面简单列出了代码内容：
sw-trace.py
#!/usr/bin/env python
# _*_ coding: utf-8 _*_
# Tile:
# Author:shy
import requests
import time
import smtplib
from email.mime.text import MIMEText
import re
def interface_content_filter(trace_id):
'''
对详细日志内容（业务逻辑报错）进行过滤
:param trace_id:
:return: 【1|0】
'''
url = "http://172.16.53.232:50001/query"
params = {
"trace_id": trace_id
}
detail_trace_id_log = requests.request(method="GET",url=url,params=params)
detail_trace_id_log = detail_trace_id_log.text
print(detail_trace_id_log)
print(type(detail_trace_id_log))
with open("blackname_keyword_list","r",encoding="utf-8") as f:
for line in f:
print(line)
result = re.search(line.strip(),detail_trace_id_log)
print(result)
if result != None:
print("哥们匹配到日志黑名单关键字了：%s" % line)
return 0
print("提示：%s不在关键字黑名单中" % trace_id)
return 1
def interface_filter(endpointName):
"""
设置接口黑名单
:param endpointName:
:return: 【1|0】
"""
endpointName = re.sub("\(|\)",".",endpointName)
with open("blackname_list","r",encoding="utf-8") as f:
bn_list = f.read()
match_result = re.search(endpointName.strip(),bn_list)
if match_result == None:
print("提示：接口不存在黑名单中")
return 1
print("提示：接口在黑名单中")
return 0
def trace_erro_interface(start_time,end_time,sw_url,per_page_size,trace_detail_addr):
"""
skywalking trace功能对错误接口进行过滤，默认最大一次获取2000条数据，每分钟执行一次
:param start_time:
:param end_time:
:return:
"""
url = sw_url
data = {
"query": "query queryTraces($condition: TraceQueryCondition) {\n data: queryBasicTraces(condition: $condition) {\n traces {\n key: segmentId\n endpointNames\n duration\n start\n isError\n traceIds\n }\n total\n }}",
"variables": {
"condition": {
"queryDuration": {
"start": start_time, #"2021-12-07 1734"
"end": end_time,
"step": "MINUTE"
},
"traceState": "ERROR",
"paging": {
"pageNum": 1,
"pageSize": per_page_size,
"needTotal": "true"
},
"queryOrder": "BY_START_TIME"
# "traceId": "b669d0069be84fce82261901de412e7c.430.16388637511348105"
}
}
}
result = requests.request(method="post",url=url,json=data)
i = 0
# print(result.content)
# print(time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(float("%s.%s" % (trace["start"][0:10],trace["start"][10:])))))
with open("mail.html","w",encoding="utf-8") as f:
f.write('<head><meta charset="UTF-8"><title>Title</title><style>.t {border-right: 2px solid black;border-bottom: 2px solid black;}.t th,td {border-top: 2px solid black;border-left: 2px solid black;font-size: 10px;}</style></head><body><div style="color:red;font-size=15px;">最近15分钟统计：</div><table class="t" border="0" cellspacing="0" cellpadding="10px"><thead><tr style="<th style="width: 100px;">时间</th><th>持续时长</th><th>接口名称</th><th>追踪ID</th></tr></thead><tbody>')
for trace in result.json()["data"]["data"]["traces"]:
# print(trace["endpointNames"])
print("时间：%s\n" % time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(float("%s.%s" % (trace["start"][0:10],trace["start"][10:])))),
"持续时长：%s\n" % trace["duration"],
"接口名称：%s\n" % trace["endpointNames"][0],
"跟踪ID：%s" % trace["traceIds"][0])
# print(time.localtime(1638869640.194))
i+=1
print(i)
s_time = time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(float("%s.%s" % (trace["start"][0:10],trace["start"][10:]))))
dur_time = trace["duration"]
endpointName = trace["endpointNames"][0]
trace_id = trace["traceIds"][0]
# 调用接口黑名单过滤功能
result = interface_filter(endpointName)
if result == 0:
print("哥们进入黑名单了！",endpointName)
continue
# 调用关键字黑名单过滤功能
keyword_result = interface_content_filter(trace_id)
if keyword_result == 0:
print("哥们进入关键字黑名单了！", trace_id)
continue
with open("mail.html","a",encoding="utf-8") as f:
f.write('<tr><td>%s</td><td>%s</td><td>%s</td><td><a href="http://%s/query?trace_id=%s" rel="external nofollow" >%s</a></td></tr>' %(s_time,dur_time,endpointName,trace_detail_addr,trace_id,trace_id))
with open("mail.html","a",encoding="utf-8") as f:
f.write('</tbody></table></body>')
def send_mail(receiver):
"""
发送报错接口邮件
:return:
"""
server = "mail.test.com"
sender = "sa@test.com"
sender_pwd = "1qaz@WSX"
send_addr = "sa@test.com"
receiver = receiver
with open("mail.html","r",encoding="utf-8") as f:
content = f.read()
if re.search("<td>",content) == None:
print("无报错接口！",content)
return 0
print("邮件前",content)
msg_mail = MIMEText(content,"html","utf-8")
msg_mail["Subject"] = "Skywalking报错接口统计"
msg_mail["From"] = sender
msg_mail["To"] = receiver
server_obj = smtplib.SMTP_SSL(server)
server_obj.connect(server,465)
server_obj.login(sender,sender_pwd)
server_obj.sendmail(send_addr,receiver,msg_mail.as_string())
if __name__ == "__main__":
# 设定查询时间间隔，默认900s（15min）
end_time = time.time()
start_time = end_time - 900
start_time=time.strftime("%Y-%m-%d %H%M",time.localtime(start_time))
end_time = time.strftime("%Y-%m-%d %H%M", time.localtime(end_time))
print(start_time)
print(end_time)
sw_url = "http://172.16.53.232:9412/graphql" # skywalking的前端服务的地址和端口
per_page_size = 5000 #指定一次获取endpoint接口的数目
trace_detail_addr = "127.0.0.1:5000" #指定查询指定trace_id详细日志
receiver = "shy@test.com" #报警邮件接收人地址
trace_erro_interface(start_time,end_time,sw_url,per_page_size,trace_detail_addr)
send_mail(receiver)
# interface_filter()
# interface_content_filter("3c4212dd2dd548d394ba312c4619405d.104.16390380592724487")
sw-trace-id.py
#!/usr/bin/env python
# _*_ coding: utf-8 _*_
# Tile:
# Author:shy
import requests
import time
from flask import Flask,request
app = Flask(__name__)
@app.route("/query",methods=["get"])
def trace_id_query():
"""
查询指定trace_id详细日志信息
:return: f.read()
"""
trace_id = request.args.get("trace_id")
url="http://172.16.53.232:9412/graphql"
# url="http://skywalking.roulw.com/graphql"
data = {
"query": "query queryTrace($traceId: ID!) {\n trace: queryTrace(traceId: $traceId) {\n spans {\n traceId\n segmentId\n spanId\n parentSpanId\n refs {\n traceId\n parentSegmentId\n parentSpanId\n type\n }\n serviceCode\n serviceInstanceName\n startTime\n endTime\n endpointName\n type\n peer\n component\n isError\n layer\n tags {\n key\n value\n }\n logs {\n time\n data {\n key\n value\n }\n }\n }\n }\n }",
"variables": {
"traceId": trace_id
}
}
result = requests.request(method="post",url=url,json=data)
with open("detail_log", "w", encoding="utf-8") as f:
f.write("<div style='color: red;font-size: 30px;'>生产Skywalking报错接口跟踪日志日志：<br /></div>")
for trace_id in result.json()["data"]["trace"]["spans"]:
if trace_id["isError"]:
# print(trace_id)
print("服务名称：%s\n" % trace_id["serviceCode"],
"开始时间：%s\n" % trace_id["startTime"],
"接口名称：%s\n" % trace_id["endpointName"],
"peer名称：%s\n" % trace_id["peer"],
"tags名称：%s\n" % trace_id["tags"],
"详细日志：%s" % trace_id["logs"])
content = "服务名称：%s<br />开始时间：%s<br />接口名称：%s<br />peer名称：%s<br />tags名称：%s" % (trace_id["serviceCode"],trace_id["startTime"],trace_id["endpointName"],trace_id["peer"],trace_id["tags"])
with open("detail_log","a",encoding="utf-8") as f:
f.write(content)
f.write("<br />********详细日志**********<br />")
for logs in trace_id["logs"]:
for log in logs["data"]:
if log["key"] == "message":
print(log["value"])
with open("detail_log","a",encoding="utf-8") as f:
f.write(log["value"])
# return log["value"]
elif log["key"] == "stack":
print(log["value"])
with open("detail_log","a",encoding="utf-8") as f:
f.write(log["value"])
with open("detail_log", "a", encoding="utf-8") as f:
f.write("<div style='color: red;font-size: 20px;'><br />========下一个接口信息=========<br /></div>")
with open("detail_log","r",encoding="utf-8") as f:
return f.read()
if __name__ == "__main__":
# trace_id = "14447ae7199c40a2b9862411daba180b.2142.16388920322367785"
# trace_id_query(trace_id)
app.run()
到此这篇关于python实现skywalking的trace模块过滤和报警的文章就介绍到这了,更多相关python trace模块过滤和报警内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家！
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