python实现skywalking的trace模块过滤和报警(实例代码)
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):
"""
skywalkin编程客栈g 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 classhttp://www.cppcns.com="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.编程客栈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)
编程客栈 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("d编程客栈etail_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()
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