jojo-net 0.3.7

network utilities

net module 0.3.6 documentation

Author: JoStudio, Date: 2022/9/28

net Module

This net package provides tools to perform net ping, scan port, send email, http, web spider, access web API.

net.binary submodule

Read/write binary data in memory or data in a file

net.dns submodule

DNS protocol client / server

net.mail submodule

e-mail sender

# Send e-mail example



from net import Mail



# Set parameters

username = '[e-mail]'  # username to login SMTP server

password = 'xxxxxxxxxx'      # password to login SMTP server

receiver = '[e-mail]'  # receiver e-mail address



mail = Mail(username, password)  # Create mail object



# Send mail with attachment file '1.jpg'

mail.send([receiver], 'My Subject', "This is body", ['1.jpg'])

net.scan submodule

Network ping and scan functions

# Net ping and scan examples



from net import Net



# ping a server(or an IP)

t = Net.ping("www.bing.com")  # return milliseconds, return -1 means not available

print('milliseconds', t)



# get IP address of this computer

my_ip = Net.local_ip()



# create an IP range (a list of IP address

ip_list = Net.ip_range(my_ip, 1, 100)

print(ip_list)



# Scan the IPs, return list of pingable IPs

exists_ips = Net.ip_scan(ip_list)

print(exists_ips)



# whether a port of specified IP is opened

if Net.is_port_open(my_ip, 80):

    print('port 80 of', my_ip, 'opened')

else:

    print('port 80 of', my_ip, 'not opened')





# scan a list of port on specified IP address, return opened port list

port_list = Net.port_scan(my_ip, [80, 8080, 21, 22, 443, 445])

print('opened ports', port_list)

net.spider submodule

Spider, get web page, extract word from the content, download file.

# Spider usage examples:



from net import Spider





# create a Spider object for specified url

url = "https://www.python.org/"

spider = Spider(url)





# You can user Spider.find_xxx() to find information in the web page



# find all links in the page

link_urls = spider.find_links()

print('links:', link_urls)



# find the links after 'Latest News'

link_urls = spider.find_links('Latest News')

print('links:', link_urls)





# find the links 'Latest News' and the link's url contains "blog."

link_urls = spider.find_links('Latest News', contains="blog.")

print('links:', link_urls)





# find the urls of the images in the page

img_urls = spider.find_images()

print('images:', img_urls)



if len(img_urls) > 0:

    # create a new spider to download the first image url, save image to filename 'pic.xxx'

    # (file extension will be added automatically)

    filename = Spider(url, img_urls[0]).download("pic")

    print('file %s downloaded' % repr(filename))



print("-----------------------------------")



# find the codes in the page

codes = spider.find_codes()

if codes:

    print('code:\n', codes[0])



print("-----------------------------------")



# find the list items after 'Latest News'

words = spider.find_list_items('Latest News')

print('Latest News:', words)



# find the text of the paragraph after 'Download'

text = spider.find_paragraph('Download')

print('Download paragraph: ', text)



tables = Spider("https://www.w3school.com.cn/tags/tag_table.asp").find_tables(text_only=True)

if len(tables) > 0:

    print('table 0:', tables[0].to_list())





# Advanced find example

#

# understanding the structure of webpage's HTML source code, find words in the HTML



# example: find the text of menu items

begin = ['<ul', 'menu']      # find '<ul' tag and 'menu' class as the beginning

end = ['</ul>']              # find '</ul>' tag as the ending

# word is the menu item text

before = ['<li', '<a', '>']  # find '<li' and '<a' and '>' which is before the word

after = ['</a>']             # find '</a>' which is after the word

words = spider.find_list(before, after, begin, end)

print("menus:", words)   # ['Python', 'PSF', 'Docs', 'PyPI', 'Jobs', 'Community']



# find the text of menu items and its links

# word1 is the link

before1 = ['<li', '<a', 'href="']  # find '<li' and '<a' and 'href="' which is before the word1

after1 = ['"']     # find '"' which is after the word1



# word2 is the menu text

before2 = ['>']  # find '>' which is before the word2, after word1

after2 = ['</a>']  # find '</a>' which is after the word2



# compose a list definition, each item of the list is a word define (before, after)

betweens = [(before1, after1), (before2, after2)]



# perform finding

words_list = spider.find_words_list(betweens, begin, end)

print("menus2:", words_list)  # words_list will be a list, each item is a list of two words

# the result is  [['/', 'Python'], ['/psf-landing/', 'PSF'], ...