Table of Contents
Requirement Description
Practical environment
Home Operation and Maintenance Nginx How does Python obtain the Nginx log corresponding to the task request in real time?

How does Python obtain the Nginx log corresponding to the task request in real time?

May 17, 2023 am 09:46 AM
python nginx

Requirement Description

During the project requirement testing process, you need to send some use case requests to the Nginx server, and then check the corresponding Nginx log to determine whether there is characteristic content to determine whether the task is successfully executed. In order to improve efficiency, this process needs to be automated.

Practical environment

Python 3.6.5

Code design and implementation

#!/usr/bin/env python
# -*- coding:utf-8 -*-


"""
@CreateTime: 2021/06/26 9:05
@Author : shouke
"""


import time
import threading
import subprocess
from collections import deque


def collect_nginx_log():
    global nginx_log_queue
    global is_tasks_compete
    global task_status


    args = "tail -0f /usr/local/openresty/nginx/logs/access.log"
    while task_status != "req_log_got":
        with subprocess.Popen(args, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, universal_newlines = True) as proc:
            log_for_req = ""
            outs, errs = "", ""

            try:
                outs, errs = proc.communicate(timeout=2)
            except subprocess.TimeoutExpired:
                print("获取nginx日志超时,正在重试")
                proc.kill()
                try:
                    outs, errs = proc.communicate(timeout=5)
                except subprocess.TimeoutExpired:
                    print("获取nginx日志超时,再次超时,停止重试")
                    break
            finally:
                for line in outs.split("
"):
                    flag = ""client_ip":"10.118.0.77"" # 特征
                    if flag in line: # 查找包含特征内容的日志
                        log_for_req += line

                if task_status == "req_finished":
                    nginx_log_queue.append(log_for_req)
                    task_status = "req_log_got"



def run_tasks(task_list):
    """
    运行任务
    :param task_list 任务列表
    """

    global nginx_log_queue
    global is_tasks_compete
    global task_status


    for task in task_list:
        thread = threading.Thread(target=collect_nginx_log,
                                    name="collect_nginx_log")
        thread.start()
        time.sleep(1) # 执行任务前,让收集日志线程先做好准备

        print("正在执行任务:%s" % task.get("name"))

        # 执行Nginx任务请求
        # ...

        task_status = "req_finished"
        time_to_wait = 0.1
        while task_status != "req_log_got": # 请求触发的nginx日志收集未完成
            time.sleep(time_to_wait)
            time_to_wait += 0.01
        else:# 获取到用例请求触发的nginx日志
            if nginx_log_queue:
                nginx_log = nginx_log_queue.popleft()
                task_status = "req_ready"
                # 解析日志
                # do something here
                # ...
            else:
                print("存储请求日志的队列为空")
                # do something here
                # ...


if __name__ == "__main__":
    nginx_log_queue = deque()
    is_tasks_compete = False # 所有任务是否执行完成

    task_status = "req_ready" # req_ready,req_finished,req_log_got  # 存放执行次任务任务的一些状态
    print("###########################任务开始###########################")

    tast_list = [{"name":"test_task", "other":"..."}]
    run_tasks(tast_list)

    is_tasks_compete = True

    current_active_thread_num = len(threading.enumerate())
    while current_active_thread_num != 1:
        time.sleep(2)
        current_active_thread_num = len(threading.enumerate())
    print("###########################任务完成###########################")

Note:

1. Why is the above code not In one step, directly tail -0f /usr/local/openresty/nginx/logs/access.log | grep "Characteristic content"? This is because the Nginx log cannot be obtained by doing this

2. In practice, it was found that when proc.communicate(timeout=2) was executed for the first time to obtain the log, it was always impossible to obtain it. It will time out and require a second acquisition, and the timeout is set too small (in practice, I tried setting it to 1 second), which will also cause the Nginx log to be unable to be obtained during the second execution.

The above is the detailed content of How does Python obtain the Nginx log corresponding to the task request in real time?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undress AI Tool

Undress AI Tool

Undress images for free

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

What are class methods in Python What are class methods in Python Aug 21, 2025 am 04:12 AM

ClassmethodsinPythonareboundtotheclassandnottoinstances,allowingthemtobecalledwithoutcreatinganobject.1.Theyaredefinedusingthe@classmethoddecoratorandtakeclsasthefirstparameter,referringtotheclassitself.2.Theycanaccessclassvariablesandarecommonlyused

python asyncio queue example python asyncio queue example Aug 21, 2025 am 02:13 AM

asyncio.Queue is a queue tool for secure communication between asynchronous tasks. 1. The producer adds data through awaitqueue.put(item), and the consumer uses awaitqueue.get() to obtain data; 2. For each item you process, you need to call queue.task_done() to wait for queue.join() to complete all tasks; 3. Use None as the end signal to notify the consumer to stop; 4. When multiple consumers, multiple end signals need to be sent or all tasks have been processed before canceling the task; 5. The queue supports setting maxsize limit capacity, put and get operations automatically suspend and do not block the event loop, and the program finally passes Canc

How to use regular expressions with the re module in Python? How to use regular expressions with the re module in Python? Aug 22, 2025 am 07:07 AM

Regular expressions are implemented in Python through the re module for searching, matching and manipulating strings. 1. Use re.search() to find the first match in the entire string, re.match() only matches at the beginning of the string; 2. Use brackets() to capture the matching subgroups, which can be named to improve readability; 3. re.findall() returns all non-overlapping matches, and re.finditer() returns the iterator of the matching object; 4. re.sub() replaces the matching text and supports dynamic function replacement; 5. Common patterns include \d, \w, \s, etc., you can use re.IGNORECASE, re.MULTILINE, re.DOTALL, re

How to build and run Python in Sublime Text? How to build and run Python in Sublime Text? Aug 22, 2025 pm 03:37 PM

EnsurePythonisinstalledbyrunningpython--versionorpython3--versionintheterminal;ifnotinstalled,downloadfrompython.organdaddtoPATH.2.InSublimeText,gotoTools>BuildSystem>NewBuildSystem,replacecontentwith{"cmd":["python","-

How to use variables and data types in Python How to use variables and data types in Python Aug 20, 2025 am 02:07 AM

VariablesinPythonarecreatedbyassigningavalueusingthe=operator,anddatatypessuchasint,float,str,bool,andNoneTypedefinethekindofdatabeingstored,withPythonbeingdynamicallytypedsotypecheckingoccursatruntimeusingtype(),andwhilevariablescanbereassignedtodif

How to pass command-line arguments to a script in Python How to pass command-line arguments to a script in Python Aug 20, 2025 pm 01:50 PM

Usesys.argvforsimpleargumentaccess,whereargumentsaremanuallyhandledandnoautomaticvalidationorhelpisprovided.2.Useargparseforrobustinterfaces,asitsupportsautomatichelp,typechecking,optionalarguments,anddefaultvalues.3.argparseisrecommendedforcomplexsc

How to debug a remote Python application in VSCode How to debug a remote Python application in VSCode Aug 30, 2025 am 06:17 AM

To debug a remote Python application, you need to use debugpy and configure port forwarding and path mapping: First, install debugpy on the remote machine and modify the code to listen to port 5678, forward the remote port to the local area through the SSH tunnel, then configure "AttachtoRemotePython" in VSCode's launch.json and correctly set the localRoot and remoteRoot path mappings. Finally, start the application and connect to the debugger to realize remote breakpoint debugging, variable checking and code stepping. The entire process depends on debugpy, secure port forwarding and precise path matching.

What are the benefits of using Nginx as an API gateway? What are the benefits of using Nginx as an API gateway? Aug 31, 2025 am 09:17 AM

As an API gateway, Nginx has the advantages of high performance, low latency, load balancing, and security control. 1. Adopt an event-driven architecture, supports high concurrency and low resource consumption, and improves API response speed; 2. Supports multiple load balancing strategies and health checks to ensure high availability of services; 3. Can route and rewrite URLs based on rules such as paths and domain names to facilitate API version management; 4. Provide security mechanisms such as current limiting, IP control, JWT verification and SSL termination to prevent malicious requests; 5. Support response caching, reduces back-end pressure, and improves read-intensive API performance; 6. Customizes log formats to facilitate integration with monitoring systems such as ELK and Grafana; 7. Supports HTTP/2, HTTP/3 and WebSocket.

See all articles