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Python library to capture screenshots of web applications or pages

Project description

Build Status Coverage Status Documentation Status PyPI version Python version

Screamshot

Python library to capture screenshots of web applications

Good practices

  • Any code addition must be done in your own branch. You can name it fl/what_this_branch_brings where 'f' is the first letter of your first name and 'l' the first letter of your last name.
  • A branch resolves a specific issue.
  • Please write exhaustive tests. The coverage must not decrease.
  • Please merge the master branch into yours, run the tests and checks and correct all errors and warnings before pushing your code.
  • When you think you have finished you can make a pull request.

Testing and checks

To start the tests and checks

The first time

  1. Install docker and docker-compose.
  2. Run: docker-compose build, to create all the required images.
  3. To start the verification, run: docker-compose up.

When it is already setup

You just need to run docker-compose up.

To clean up

  • If you want to stop containers and remove containers, networks, volumes, and images created by up command, run: docker-compose down.
  • If you want to delete all the images, run: docker rmi -f $(docker images -q).

To write new tests

  • You must use the unittest package
  • You must put your test file in the tests folder
  • You must name your test file using the following next pattern: test_*.py

Local server

A server with a web page can be used at the following address: http://server:5000/index.html and http://server:5000/other.html

Usage

Documentation

The documentation is accessible here, on readthedocs.

Exemple with django

The server must be launched using --nothreading and --noreload as argument.

# views.py in a Django project
from django.http import HttpResponse

import asyncio

from screamshot import generate_bytes_img_prom

def home(request):
    loop = asyncio.get_event_loop()
    future = asyncio.Future()

    asyncio.ensure_future(
        generate_bytes_img_prom('https://www.google.fr', future))
    loop.run_until_complete(future)

    return HttpResponse(future.result(), content_type='image')

Or using the already wrapped function

# views.py in a Django project
from django.http import HttpResponse

from screamshot import generate_bytes_img__django_wrap

def home(request):
    img = generate_bytes_img__django_wrap('https://www.google.fr')
    return HttpResponse(img, content_type='image')

Using Gunicorn

With Gunicorn there isn't the thread related problems so we don't need to use the --nothreading and --noreload arguments.

CHANGELOG

0.0.1

Initialization of Screamshot library

  1. init file:
    • author
    • version
    • all
  2. core file:
    • A ScreenShot object with three methods:
      • load, loads a web page
      • screamshot, takes a screenshot of a loaded page
      • load_and_screamshot, loads a web page and takes a screenshot

0.1.0

  • There is no more ScreenShot object just a function named generate_bytes_img which takes some parameters and returns a binary bytes object.

0.1.1

  • generate_bytes_img is no more a sync function and generate_bytes_img_prom has been added
  • generate_bytes_img_prom uses the asyncio.Future object

0.1.2

  • A test and verification tool using Docker is now available

0.1.3

  • Add browser-manager script
  • Add screamshot script

0.1.4

  • Add serialize function
  • Add deserialize function

0.1.5

  • Add generate_bytes_img_django_wrap function

0.1.6

  • Module is now available

0.1.7

  • The browser endpoint is saved in the temporary directory

0.1.8

  • serialize function returns a dict object
  • deserialize takes a dict object

0.1.9

  • Remove serializer functions
  • Add a bytes_to_img function

0.1.10

  • generate_bytes_img_django_wrap is renamed generate_bytes_img_wrap
  • Error are handled

0.1.11

  • bytes_to_png is renamed bytes_to_file
  • bytes_to_file supports type choice

0.1.12

  • You can now fetch http headers from another page with get_token
  • And store these headers in the local storage

Project details


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