10.10.2015       Выпуск 94 (05.10.2015 - 11.10.2015)       Интересные проекты, инструменты, библиотеки

pigar - собираем файл requirements.txt в автоматическом режиме

Утилита позволяет провести анализ вашего кода и составить наборы requirements.txt  для Python 2 и Python 3

Читать>>




Экспериментальная функция:

Ниже вы видите текст статьи по ссылке. По нему можно быстро понять ссылка достойна прочтения или нет

Просим обратить внимание, что текст по ссылке и здесь может не совпадать.

Python project requirements tool – pigar

https://img.shields.io/travis/Damnever/pigar.svg?style=flat-square https://img.shields.io/pypi/v/pigar.svg?style=flat-square https://raw.githubusercontent.com/Damnever/pigar/master/short-guide.gif

(In the GIF, the module urlparse has been removed in Python3, requests has been installed in virtual environment pigar-2.7, not in pigar-3.5)

Features

  • When generating requirements for a project, pigar can consider all kinds of complicated situations. For example, this project has py2_requirements.txt and py3_requirements.txt for different Python versions.

    # Generate requirements.txt for current directory.
    $ pigar
    
    # Generate requirements for given directory in given file.
    $ pigar -p ../dev-requirements.txt -P ../
    

    pigar will list all files which referenced the package, for example:

    # project/foo.py: 2,3
    # project/bar/baz.py: 2,7,8,9
    foobar == 3.3.3
    

    If the requirements file is overwritten, pigar will show the difference between the old and the new.

  • If you do not know the import name that belongs to a specific package (more generally, does Import Error: xxx drive you crazy?), such as bs4 which may come from beautifulsoup4 or MySQLdb which could come from MySQL_Python, try searching for it:

    $ pigar -s bs4 MySQLdb
    
  • To check requirements for the latest version, just do:

    # Specify a requirements file.
    $ pigar -c ./requirements.txt
    
    # Or, you can let pigar search for *requirements.txt in the current directory
    # level by itself. If not found, pigar will generate requirements.txt
    # for the current project, then check for the latest versions.
    $ pigar -c
    

Installation

pigar can run on Python 2.7.+ and 3.2+. Install it with pip:

[sudo] pip install pigar

To get the newest code from GitHub:

pip install git+https://github.com/Damnever/pigar.git@[master or other branch] --upgrade

Usage

usage: pigar [-h] [-v] [-u] [-s NAME [NAME ...]] [-c [PATH]] [-l LOG_LEVEL]
             [-i DIR [DIR ...]] [-p SAVE_PATH] [-P PROJECT_PATH]

Python requirements tool -- pigar, it will do only one thing at each time.
Default action is generate requirements.txt in current directory.

optional arguments:
  -h, --help          show this help message and exit
  -v, --version       show pigar version information and exit
  -u, --update        update database, use it when pigar failed you, exit when
                      action done
  -s NAME [NAME ...]  search package name by import name, use it if you do not
                      know import name come from which package, exit when
                      action done
  -c [PATH]           check requirements for the latest version. If file path
                      not given, search *requirements.txt in current
                      directory, if not found, generate file requirements.txt,
                      exit when action done
  -l LOG_LEVEL        show given level log messages, argument can be (ERROR,
                      WARNING, INFO), case-insensitive
  -i DIR [DIR ...]    given a list of directory to ignore, relative directory,
                      *used for* -c and default action
  -p SAVE_PATH        save requirements in given file path, *used for* default
                      action
  -P PROJECT_PATH     project path, which is directory, *used for* default
                      action

More

pigar does not use regular expressions in such a violent way. Instead, it uses AST, which is a better method for extracting imported names from arguments of exec/eval, doctest of docstring, etc.

Also, pigar can detect the difference between different Python versions. For example, you can find concurrent.futures from the Python 3.2 standard library, but you will need install futures in earlier versions of Python to get concurrent.futures.

Finally, you already saw Features. You can learn more from the source code.

If you have any issues or suggestions, please submit an issue on GitHub.

LICENSE

The BSD 3-Clause License






Разместим вашу рекламу

Пиши: mail@pythondigest.ru

Нашли опечатку?

Выделите фрагмент и отправьте нажатием Ctrl+Enter.

Система Orphus