Table of Contents
Introduction to Netmiko
Netmiko installation
Use Netmiko’s SCP function to transfer files
Transfer files from the device to the local computer
Transferring files from the local computer to the device
Home Backend Development Python Tutorial How to use Netmiko for file transfer in Python

How to use Netmiko for file transfer in Python

May 19, 2023 pm 07:51 PM
python netmiko

    #Transmitting configuration files, image files, etc. is a common operation in network device management. Netmiko is a Python library that can be used to interact with various network devices. It provides some functions for transferring files, including SCP (Secure Copy Protocol) functions.

    Introduction to Netmiko

    Netmiko is an extension Python library for Paramiko that can be used to connect and manage various network devices. Netmiko can be used to connect to a variety of network devices, such as Cisco, Juniper, Arista, HP, etc. The Netmiko library provides multiple functions to make operations such as connection, command sending, file transfer, etc. more convenient and user-friendly.

    How to use Netmiko for file transfer in Python

    #SCP is a secure file transfer protocol that uses the SSH protocol to transfer files. Compared with other file transfer protocols such as FTP and TFTP, SCP uses encrypted connections to provide higher security. Although SCP is less efficient when transferring large files, it is an ideal choice when transferring small files.

    Netmiko installation

    Before using Netmiko, you need to install it first. Netmiko can be installed using pip, just use the following command:

    pip install netmiko
    Copy after login

    Use Netmiko’s SCP function to transfer files

    Use the SCP function in the Netmiko library to transfer files from the local computer to the device , and can also transfer files from the device to the local computer. Below we will introduce how to use Netmiko's SCP function to transfer files.

    Transfer files from the device to the local computer

    To transfer files from the device to the local computer you need to use Netmiko's file_transfer function. This function requires four parameters: remote path, local path, file name, and file transfer direction (from remote device to local computer). The remote path and local path can be relative paths or absolute paths. The file transfer direction needs to be specified using the string get. The following is sample code for transferring files using Netmiko's file_transfer function:

    from netmiko import ConnectHandler
    
    device = {
        'device_type': 'cisco_ios',
        'ip': '192.168.1.1',
        'username': 'username',
        'password': 'password',
    }
    
    remote_path = 'flash:/config.txt'
    local_path = '/home/user/config.txt'
    file_name = 'config.txt'
    
    with ConnectHandler(**device) as ssh:
        ssh.file_transfer(
            remote_file=remote_path,
            local_file=local_path,
            file_system='flash:',
            direction='get'
        )
    Copy after login

    In the above sample code, we first define a device dictionary and then use ConnectHandler Function to connect the device. After connecting the device, we use the file_transfer function to transfer the file. The remote_file parameter specifies the file path on the remote device, the local_file parameter specifies the file path on the local computer, the file_system parameter specifies the file system where the file is located, directionThe parameter specifies the transmission direction. Run the above code to transfer files from the device to your local computer.

    Transferring files from the local computer to the device

    Transferring files from the local computer to the device also requires the use of Netmiko's file_transfer function. This function requires four parameters: remote path, local path, file name, and file transfer direction (from local computer to remote device). The remote path and local path can be relative paths or absolute paths. The file transfer direction needs to be specified using the string put. The following is a sample code that uses Netmiko's file_transfer function to transfer files from the local computer to a device:

    from netmiko import ConnectHandler
    
    device = {
        'device_type': 'cisco_ios',
        'ip': '192.168.1.1',
        'username': 'username',
        'password': 'password',
    }
    
    remote_path = 'flash:/config.txt'
    local_path = '/home/user/config.txt'
    file_name = 'config.txt'
    
    with ConnectHandler(**device) as ssh:
        ssh.file_transfer(
            remote_file=remote_path,
            local_file=local_path,
            file_system='flash:',
            direction='put'
        )
    Copy after login

    In the above sample code, we also first define a device dictionary, and then use ConnectHandlerFunction to connect the device. After connecting the device, we use the file_transfer function to transfer the file. The remote_file parameter specifies the file path on the remote device, the local_file parameter specifies the file path on the local computer, the file_system parameter specifies the file system where the file is located, directionThe parameter specifies the transmission direction. Run the above code to transfer files from your local computer to the device.

    The above is the detailed content of How to use Netmiko for file transfer in Python. 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

    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

    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)

    Hot Topics

    Java Tutorial
    1663
    14
    PHP Tutorial
    1266
    29
    C# Tutorial
    1239
    24
    PHP and Python: Different Paradigms Explained PHP and Python: Different Paradigms Explained Apr 18, 2025 am 12:26 AM

    PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

    Choosing Between PHP and Python: A Guide Choosing Between PHP and Python: A Guide Apr 18, 2025 am 12:24 AM

    PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

    PHP and Python: A Deep Dive into Their History PHP and Python: A Deep Dive into Their History Apr 18, 2025 am 12:25 AM

    PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

    Python vs. JavaScript: The Learning Curve and Ease of Use Python vs. JavaScript: The Learning Curve and Ease of Use Apr 16, 2025 am 12:12 AM

    Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

    How to run sublime code python How to run sublime code python Apr 16, 2025 am 08:48 AM

    To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

    Where to write code in vscode Where to write code in vscode Apr 15, 2025 pm 09:54 PM

    Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

    Golang vs. Python: Performance and Scalability Golang vs. Python: Performance and Scalability Apr 19, 2025 am 12:18 AM

    Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

    Can visual studio code be used in python Can visual studio code be used in python Apr 15, 2025 pm 08:18 PM

    VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

    See all articles