Git Product home page Git Product logo

whatwg-url's Introduction

whatwg-url

No Maintenance Intended

Python implementation of the WHATWG URL Living Standard.

The latest revision that this package implements of the standard is August 7th, 2018 (commit 49060c7)

Getting Started

Install the whatwg-url package using pip.

python -m pip install whatwg-url

And use the module like so:

import whatwg_url

url = whatwg_url.parse_url("https://www.google.com")
print(url)
# Url(scheme='https', hostname='www.google.com', port=None, path='', query='', fragment='')

Features

Compatibility with urllib.parse.urlparse()

import whatwg_url

parseresult = whatwg_url.urlparse("https://seth:[email protected]:1234/maps?query=string#fragment")

print(parseresult.scheme)  # 'https'
print(parseresult.netloc)  # 'www.google.com:1234'
print(parseresult.userinfo)  # 'seth:larson'
print(parseresult.path)  # '/maps'
print(parseresult.params)  # ''
print(parseresult.query)  # 'query=string'
print(parseresult.fragment)  # 'fragment'
print(parseresult.username)  # 'seth'
print(parseresult.password)  # 'larson'
print(parseresult.hostname)  # 'www.google.com'
print(parseresult.port)  # 1234
print(parseresult.geturl())  # 'https://seth:[email protected]:1234/maps?query=string#fragment'

URL Normalization

The WHATWG URL specification describes methods of normalizing URL inputs to usable URLs. It handles percent-encodings, default ports, paths, IPv4 and IPv6 addresses, IDNA (2008 and 2003), multiple slashes after scheme, etc.

import whatwg_url

print(whatwg_url.normalize_url("https://////www.google.com"))  # https://www.google.com
print(whatwg_url.normalize_url("https://www.google.com/dir1/../dir2"))  # https://www.google.com/dir2
print(whatwg_url.normalize_url("https://你好你好"))  # https://xn--6qqa088eba/
print(whatwg_url.normalize_url("https://0Xc0.0250.01"))  # https://192.168.0.1/

URL Validation

print(whatwg_url.is_valid_url("https://www.google.com"))  # True
print(whatwg_url.is_valid_url("https://www .google.com"))  # False

Relative URLs

HTTP redirects often contain relative URLs (via the Location header) that need to be applied to the current URL location. Specifying the base parameter allows for giving relative URLs as input and the changes be applied to a new URL object.

import whatwg_url

url = whatwg_url.parse_url("../dev?a=1#f", base="https://www.google.com/maps")
print(url.href)  # https://www.google.com/dev?a=1#f

URL Property Mutators

Modifying properties on a URL object use the parser and "state overrides" to properly mutate the URL object.

url = whatwg_url.parse_url("http://www.google.com:443")

print(url.scheme)  # 'http'
print(url.port)  # 443

url.scheme = 'https'

print(url.scheme)  # 'https'
print(url.port)  # None

"Splatable"

The module is a single file which allows for easy vendoring into projects.

License

Apache-2.0

whatwg-url's People

Contributors

sethmlarson avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar

whatwg-url's Issues

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.