search
HomeBackend DevelopmentPython TutorialPython installation uses the command line interactive module pexpect

Pexpect is a pure Python module that can be used to interact with command line commands such as ssh, ftp, passwd, telnet, etc. It is especially easy to use under Linux systems. Let’s take a closer look at the command line for Python installation. Basic tutorial for the interactive module pexpect:

1. Installation
1. Install the easy_install tool

wget http://peak.telecommunity.com/dist/ez_setup.py

python ez_setup.py Install the easy_install tool (this script will automatically go to the official website to search, download and install)

python ez_setup.py -U setuptools

Upgrade the easy_install tool

2. Install pexpect

##

easy_install Pexpect

Test it:


[root@OMS python]# python
Python 2.7.3rc1 (default, Nov 7 2012, 15:03:45)
[GCC 4.1.2 20080704 (Red Hat 4.1.2-48)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import pexpect
>>> import pxssh
>>>

okThe installation has been completed.


2. Basic usage1.run() function

The run function is relatively simple and can only achieve simple interactions


Copy code The code is as follows:


##run(command,timeout=-1,withexitstatus=False,events= None, extra_args=None, logfile=None, cwd=None, env=None)


run runs the command and returns the result, similar to os.system.

Example:


pexpect.run('ls -la')
# 返回值(输出,退出状态)
(command_output, exitstatus) = pexpect.run('ls -l /bin', withexitstatus=1)

##2.spawn class

The spawn function is more powerful than run and can be more complex. Interaction

class spawn 
  __init__(self, command, args=[], timeout=30, maxread=2000, searchwindowsize=None, logfile=None, cwd=None, env=None)

timeout specifies the timeout value for waiting for interaction;

maxread sets the read buffer size. Each time pexpect tries to read from the TTY (Teletype terminal )The maximum number of bytes read from;

searchwindowsize specifies the position for pattern matching from the input buffer, and the default is to match from the beginning;

The logfile parameter specifies the recording location of the log.

Working process:



# 第一步与终端建立连接
child = pexpect.spawn('scp foo user@example.com:.')
# 第二步等待终端返回特定内容
child.expect('Password:')
# 第三步根据返回内容发送命令进行交互
child.sendline(mypassword)

3.pxssh class

pxssh is a derived class of pexpect, used for Establishing an ssh connection is easier to use than pexpect.
login() Establishes an ssh connection to the target machine;
logout() releases the connection;

prompt() waits for the prompt, usually used to wait for the completion of command execution.



3. Example


Write a script to send commands to the remote server and return the results. Script content:


#!/usr/bin/python 
#2013-01-16 by larry 
import pexpect 
def login(port,user,passwd,ip,command): 
  child=pexpect.spawn('ssh -p%s %s@%s "%s"' %(port,user,ip,command)) 
  o='' 
  try: 
    i=child.expect(['[Pp]assword:','continue connecting (yes/no)?']) 
    if i == 0: 
      child.sendline(passwd) 
    elif i == 1: 
      child.sendline('yes') 
    else: 
      pass 
  except pexpect.EOF: 
    child.close() 
  else: 
    o=child.read() 
    child.expect(pexpect.EOF) 
    child.close() 
  return o 
 
hosts=file('hosts.list','r') 
for line in hosts.readlines(): 
  host=line.strip("\n") 
  if host: 
    ip,port,user,passwd,commands= host.split(":") 
    for command in commands.split(","): 
      print "+++++++++++++++ %s run:%s ++++++++++++" % (ip,command), 
      print login(port,user,passwd,ip,command)  
hosts.close()

Usage:

python scripts.py

The content of the host.list file is as follows:


192.168.0.21:22999:root:123456:cat /etc/redhat-release,df -Th,whoami
192.168.0.21:22999:root:123456:cat /etc/redhat-release,df -Th,whoami

Return result:


+++++++++++++++ 192.168.0.21 run:cat /etc/redhat-release ++++++++++++
Red Hat Enterprise Linux Server release 4
+++++++++++++++ 192.168.0.21 run:df -Th ++++++++++++
文件系统   类型  容量 已用 可用 已用% 挂载点
/dev/cciss/c0d0p6
ext3  5.9G 4.4G 1.2G 80% /
/dev/cciss/c0d0p7
ext3  426G 362G  43G 90% /opt
/dev/cciss/c0d0p5
ext3  5.9G 540M 5.0G 10% /var
/dev/cciss/c0d0p3
ext3  5.9G 4.1G 1.5G 74% /usr
/dev/cciss/c0d0p1
ext3  487M  17M 445M  4% /boot
tmpfs    tmpfs  4.0G   0 4.0G  0% /dev/shm
+++++++++++++++ 192.168.0.21 run:whoami ++++++++++++
root

For more articles related to Python installation and use of the command line interactive module pexpect, please pay attention to the PHP Chinese website!

Statement
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
Python vs. C  : Understanding the Key DifferencesPython vs. C : Understanding the Key DifferencesApr 21, 2025 am 12:18 AM

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Python vs. C  : Which Language to Choose for Your Project?Python vs. C : Which Language to Choose for Your Project?Apr 21, 2025 am 12:17 AM

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

Reaching Your Python Goals: The Power of 2 Hours DailyReaching Your Python Goals: The Power of 2 Hours DailyApr 20, 2025 am 12:21 AM

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Maximizing 2 Hours: Effective Python Learning StrategiesMaximizing 2 Hours: Effective Python Learning StrategiesApr 20, 2025 am 12:20 AM

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Choosing Between Python and C  : The Right Language for YouChoosing Between Python and C : The Right Language for YouApr 20, 2025 am 12:20 AM

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python vs. C  : A Comparative Analysis of Programming LanguagesPython vs. C : A Comparative Analysis of Programming LanguagesApr 20, 2025 am 12:14 AM

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

2 Hours a Day: The Potential of Python Learning2 Hours a Day: The Potential of Python LearningApr 20, 2025 am 12:14 AM

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python vs. C  : Learning Curves and Ease of UsePython vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

See all articles

Hot AI Tools

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.

Undress AI Tool

Undress AI Tool

Undress images for free

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

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.