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A python module to generate link previews.

Project description

SneakPeek

A python module and a minimalistic server to generate link previews.

License: MIT Downloads PyPI PyPI - Python Version test-ci Docker Pulls Docker Image Size (tag)

What is supported

Installation

Run the following to install

pip install sneakpeek

Usage as a Python Module

From a URL

>>> import sneakpeek
>>> from pprint import pprint

>>> link = sneakpeek.SneakPeek("https://www.youtube.com/watch?v=dQw4w9WgXcQ")
>>> link.fetch()
>>> link.is_valid()
True
>>> pprint(link)
{'description': 'The official video for “Never Gonna Give You Up” by Rick '
                'AstleyTaken from the album ‘Whenever You Need Somebody’ – '
                'deluxe 2CD and digital deluxe out 6th May ...',
 'domain': 'www.youtube.com',
 'image': 'https://i.ytimg.com/vi/dQw4w9WgXcQ/maxresdefault.jpg',
 'image:height': '720',
 'image:width': '1280',
 'scrape': False,
 'site_name': 'YouTube',
 'title': 'Rick Astley - Never Gonna Give You Up (Official Music Video)',
 'type': 'video.other',
 'url': 'https://www.youtube.com/watch?v=dQw4w9WgXcQ',
 'video:height': '720',
 'video:secure_url': 'https://www.youtube.com/embed/dQw4w9WgXcQ',
 'video:tag': 'never gonna give you up karaoke',
 'video:type': 'text/html',
 'video:url': 'https://www.youtube.com/embed/dQw4w9WgXcQ',
 'video:width': '1280'}

>>> link = sneakpeek.SneakPeek(url="https://codingcoffee.dev")
>>> link.fetch()
>>> pprint(link)
{'description': 'A generalist with multi faceted interests and extensive '
                'experience with DevOps, System Design and Full Stack '
                'Development. I like blogging about things which interest me, '
                'have a niche for optimizing and customizing things to the '
                'very last detail, this includes my text editor and operating '
                'system alike.',
 'domain': 'codingcoffee.dev',
 'image': 'https://www.gravatar.com/avatar/7ecdc5e1441ecd501faaf42a6ab9d6c0?s=200',
 'scrape': False,
 'title': 'Ameya Shenoy',
 'type': 'website',
 'url': 'https://codingcoffee.dev'}

Use scrape=True to fetch data using scraping instead of relying on open graph tags

>>> link = sneakpeek.SneakPeek(url="https://news.ycombinator.com/item?id=23812063", scrape=True)
>>> link.fetch()
>>> pprint(link)
{'description': '',
 'domain': 'news.ycombinator.com',
 'image': 'y18.gif',
 'scrape': True,
 'title': 'WireGuard as VPN Server on Kubernetes with AdBlocking | Hacker News',
 'type': 'other',
 'url': 'https://news.ycombinator.com/item?id=23812063'}

From HTML

>>> HTML = """
... <html xmlns:og="http://ogp.me/ns">
... <head>
... <title>The Rock (1996)</title>
... <meta property="og:title" content="The Rock" />
... <meta property="og:description" content="The Rock: Directed by Michael Bay. With Sean Connery, Nicolas Cage, Ed Harris, John Spencer. A mild-mannered chemist and an ex-con must lead the counterstrike when a rogue group of military men, led by a renegade general, threaten a nerve gas attack from Alcatraz against San Francisco.">
... <meta property="og:type" content="movie" />
... <meta property="og:url" content="http://www.imdb.com/title/tt0117500/" />
... <meta property="og:image" content="https://m.media-amazon.com/images/M/MV5BZDJjOTE0N2EtMmRlZS00NzU0LWE0ZWQtM2Q3MWMxNjcwZjBhXkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_FMjpg_UX1000_.jpg">
... </head>
... </html>
... """
>>> movie = sneakpeek.SneakPeek(html=HTML)
>>> movie.is_valid()
True
>>> pprint(movie)
{'description': 'The Rock: Directed by Michael Bay. With Sean Connery, Nicolas '
                'Cage, Ed Harris, John Spencer. A mild-mannered chemist and an '
                'ex-con must lead the counterstrike when a rogue group of '
                'military men, led by a renegade general, threaten a nerve gas '
                'attack from Alcatraz against San Francisco.',
 'domain': None,
 'image': 'https://m.media-amazon.com/images/M/MV5BZDJjOTE0N2EtMmRlZS00NzU0LWE0ZWQtM2Q3MWMxNjcwZjBhXkEyXkFqcGdeQXVyNDk3NzU2MTQ@._V1_FMjpg_UX1000_.jpg',
 'scrape': False,
 'title': 'The Rock',
 'type': 'movie',
 'url': 'http://www.imdb.com/title/tt0117500/'}

Usage as a Server

A simple server using FastAPI and uvicorn is used to serve the requests.

sneekpeek serve

You can view the docs at http://localhost:9000/docs

Usage as a CLI

sneakpeek preview --url "https://github.com/codingcoffee/" | jq
{
  "domain": "github.com",
  "scrape": false,
  "url": "https://github.com/codingCoffee",
  "title": "codingCoffee - Overview",
  "type": "profile",
  "image": "https://avatars.githubusercontent.com/u/13611153?v=4?s=400",
  "description": "Automate anything and everything 🙋‍♂️. codingCoffee has 68 repositories available. Follow their code on GitHub.",
  "error": null,
  "image:alt": "Automate anything and everything 🙋‍♂️. codingCoffee has 68 repositories available. Follow their code on GitHub.",
  "site_name": "GitHub"
}

Docker

As a Server

docker run -it --rm -p 9000:9000 codingcoffee/sneakpeek -- serve --host 0.0.0.0

As a CLI

docker run -it --rm -p 9000:9000 codingcoffee/sneakpeek -- preview --url "https://github.com/codingcoffee"

Configuration

Twitter

  • Sign up for a developer account on twitter here
  • Create an app
  • Add the following variables as ENV vars
TWITTER_CONSUMER_KEY="sample"
TWITTER_CONSUMER_SECRET="sample"
TWITTER_ACCESS_TOKEN="sample"
TWITTER_ACCESS_TOKEN_SECRET="sample"

Development

pip install -U poetry
git clone https://github.com/codingcoffee/sneakpeek
cd sneakpeek
poetry install

Running Tests

poetry run pytest

TODO

Contribution

Have better suggestions to optimize the server image? Found some typos? Need special handling for a new website? Found a bug? Go ahead and create an Issue! Contributions of any kind welcome!

Want to work on a TODO? Its always a good idea to talk about what are going to do before you actually start it, so frustration can be avoided.

Some rules for coding:

  • Use the code style the project uses
  • For each feature, make a seperate branch, so it can be reviewed separately
  • Use commits with a good description, so everyone can see what you did

License

The code in this repository has been released under the MIT License

Project details


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