python函数调用追踪-ag凯发k8国际
对于分布式追踪，主要有以下的几个概念：
追踪 trace：就是由分布的微服务协作所支撑的一个事务。一个追踪，包含为该事务提供服务的各个服务请求。
跨度 span：span是事务中的一个工作流，一个span包含了时间戳，日志和标签信息。span之间包含父子关系，或者主从(followup)关系。
跨度上下文 span context：跨度上下文是支撑分布式追踪的关键，它可以在调用的服务之间传递，上下文的内容包括诸如：从一个服务传递到另一个服务的时间，追踪的id，span的id还有其它需要从上游服务传递到下游服务的信息。
我实现了一种简单的调用追踪。
import uuid
import os
import time
l = []
class recorder(object):
def __init__(self,servername,root_span = none):
if root_span == none:
self.__span = span(servername)
else:
self.__span = span(servername,root_span)
#上下文管理器
def __enter__(self):
return self.__span
# 退出方法中，用来实现善后处理工作
def __exit__(self, exc_type, exc_val, exc_tb):
self.__span.record()
self.__span.record_save(self.__span.span)
class span(object):
def __init__(self,servername,root_span = none):
self.servername = servername
self.span = self.newspan()
if root_span != none:
root_span.dic['child_span'] = self.span
self.span["root_span_flag"] = false
def newspan(self):
self.dic = {
"spanid": uuid.uuid4().int,
"servername": self.servername,
"location": "",
"ip": "",
"durationtime": 0,
"starttime": time.time(),
"endtime":0,
"tag": "",
"log": "",
"root_span_flag":true,
"child_span": ""
}
return self.dic
def record_save(self, span):
currenttracer = {"id": span["spanid"], "data": span}
print(currenttracer)
l.append(currenttracer)
def record(self):
self.span["servername"] = self.servername
self.span["location"] = os.getcwd() "." self.servername
self.span["endtime"] = time.time()
self.span["durationtime"] = self.span["endtime"] - self.span["starttime"]
def setspantag(self,tag):
self.span["tag"] = tag
def setspanlog(self,log):
self.span["log"] = log
# 连续调用
with recorder('server1') as span:
time.sleep(1)
span.setspantag("test")
#调用server1方法
print("server1")
with recorder('server2',span) as span1:
time.sleep(2)
# 调用server2方法
print("server2")
with recorder('server3',span1) as span2:
time.sleep(0.5)
# 调用server3方法
print("server3")
#单独调用记录
with recorder('server4') as span_test1:
time.sleep(1.5)
print("server4")
with recorder('server5') as span_test2:
time.sleep(2)
print("server5")
运行结果：
server1
server2
server3
{'id': 224716339449765695394515303164364012192, 'data': {'spanid': 224716339449765695394515303164364012192, 'servername': 'server3', 'location': 'd:\\python_protest\\protest\\trace\\trace_main.server3', 'ip': '', 'durationtime': 0.5004403591156006, 'starttime': 1598947338.0551107, 'endtime': 1598947338.555551, 'tag': '', 'log': '', 'root_span_flag': false, 'child_span': none}}
{'id': 254736847532758359233387151739984206570, 'data': {'spanid': 254736847532758359233387151739984206570, 'servername': 'server2', 'location': 'd:\\python_protest\\protest\\trace\\trace_main.server2', 'ip': '', 'durationtime': 2.501264810562134, 'starttime': 1598947336.0542862, 'endtime': 1598947338.555551, 'tag': '', 'log': '', 'root_span_flag': false, 'child_span': {'spanid': 224716339449765695394515303164364012192, 'servername': 'server3', 'location': 'd:\\python_protest\\protest\\trace\\trace_main.server3', 'ip': '', 'durationtime': 0.5004403591156006, 'starttime': 1598947338.0551107, 'endtime': 1598947338.555551, 'tag': '', 'log': '', 'root_span_flag': false, 'child_span': none}}}
{'id': 91028031631192607088457781914309166266, 'data': {'spanid': 91028031631192607088457781914309166266, 'servername': 'server1', 'location': 'd:\\python_protest\\protest\\trace\\trace_main.server1', 'ip': '', 'durationtime': 3.5021069049835205, 'starttime': 1598947335.0534441, 'endtime': 1598947338.555551, 'tag': 'test', 'log': '', 'root_span_flag': true, 'child_span': {'spanid': 254736847532758359233387151739984206570, 'servername': 'server2', 'location': 'd:\\python_protest\\protest\\trace\\trace_main.server2', 'ip': '', 'durationtime': 2.501264810562134, 'starttime': 1598947336.0542862, 'endtime': 1598947338.555551, 'tag': '', 'log': '', 'root_span_flag': false, 'child_span': {'spanid': 224716339449765695394515303164364012192, 'servername': 'server3', 'location': 'd:\\python_protest\\protest\\trace\\trace_main.server3', 'ip': '', 'durationtime': 0.5004403591156006, 'starttime': 1598947338.0551107, 'endtime': 1598947338.555551, 'tag': '', 'log': '', 'root_span_flag': false, 'child_span': none}}}}
server4
{'id': 103171729522922437998918618387133480096, 'data': {'spanid': 103171729522922437998918618387133480096, 'servername': 'server4', 'location': 'd:\\python_protest\\protest\\trace\\trace_main.server4', 'ip': '', 'durationtime': 1.5001769065856934, 'starttime': 1598947338.555551, 'endtime': 1598947340.055728, 'tag': '', 'log': '', 'root_span_flag': true, 'child_span': none}}
server5
{'id': 320091321623887285825256878422834254741, 'data': {'spanid': 320091321623887285825256878422834254741, 'servername': 'server5', 'location': 'd:\\python_protest\\protest\\trace\\trace_main.server5', 'ip': '', 'durationtime': 2.0005736351013184, 'starttime': 1598947340.055728, 'endtime': 1598947342.0563016, 'tag': '', 'log': '', 'root_span_flag': true, 'child_span': none}}
关于下一步，会使用redis存储其结果，并进行相应的输出分析。
修过不能追踪同级调用的问题
import uuid
import os
import time
l = []
class recorder(object):
def __init__(self,servername,root_span = none):
if root_span == none:
self.__span = span(servername)
else:
self.__span = span(servername,root_span)
#上下文管理器
def __enter__(self):
return self.__span
# 退出方法中，用来实现善后处理工作
def __exit__(self, exc_type, exc_val, exc_tb):
self.__span.record()
self.__span.record_save(self.__span.span)
class span(object):
def __init__(self,servername,root_span = none):
self.servername = servername
self.span = self.newspan()
if root_span != none:
root_span.dic['child_span'].append(self.span)
self.span["root_span_flag"] = false
def newspan(self):
self.dic = {
"spanid": uuid.uuid4().int,
"servername": self.servername,
"location": "",
"ip": "",
"durationtime": 0,
"starttime": time.time(),
"endtime":0,
"tag": "",
"log": "",
"root_span_flag":true,
"child_span": []
}
return self.dic
def record_save(self, span):
currenttracer = {"id": span["spanid"], "data": span}
print(currenttracer)
l.append(currenttracer)
def record(self):
self.span["servername"] = self.servername
self.span["location"] = os.getcwd() "." self.servername
self.span["endtime"] = time.time()
self.span["durationtime"] = self.span["endtime"] - self.span["starttime"]
def setspantag(self,tag):
self.span["tag"] = tag
def setspanlog(self,log):
self.span["log"] = log
# 连续调用
with recorder('server1') as span:
time.sleep(1)
span.setspantag("test")
#调用server1方法
print("server1")
with recorder('server2',span) as span1:
time.sleep(2)
# 调用server2方法
print("server2")
with recorder('server3',span1) as span2:
time.sleep(0.5)
# 调用server3方法
print("server3")
# 并级连续调用
# with recorder('server1') as span1:
# time.sleep(1)
# span1.setspantag("test")
# #调用server1方法
# print("server1")
# with recorder('server2',span1) as span2:
# time.sleep(2)
# # 调用server2方法
# print("server2")
# with recorder('server3',span1) as span3:
# time.sleep(0.5)
# # 调用server3方法
# print("server3")
# #单独调用记录
# with recorder('server4') as span_test1:
# time.sleep(1.5)
# print("server4")
#
# with recorder('server5') as span_test2:
# time.sleep(2)
# print("server5")
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持。
总结
以上是ag凯发k8国际为你收集整理的python函数调用追踪_python函数调用追踪实现代码的全部内容，希望文章能够帮你解决所遇到的问题。
- 上一篇：
- 下一篇：