mateuslatrova de68691438 fix flake8 environment in tox.ini file
The way we configured the tox.ini file makes flake8 not to be run. Tox is only running python tests for the flake8 environment.

With this PR, tox will run flake8 for the pipreqs and tests folders as desired.
2023-12-06 18:03:41 +00:00
2015-04-22 18:40:17 +02:00
2023-12-05 18:15:54 +00:00
2023-12-05 18:15:54 +00:00
2015-04-22 18:40:17 +02:00
2023-11-08 18:15:21 -03:00
2023-11-08 18:15:21 -03:00
2015-04-22 18:38:14 +02:00
2023-12-05 18:15:54 +00:00
2023-12-05 18:15:54 +00:00
2023-12-06 18:03:41 +00:00

=============================================================================
``pipreqs`` - Generate requirements.txt file for any project based on imports
=============================================================================

.. image:: https://img.shields.io/travis/bndr/pipreqs.svg
        :target: https://travis-ci.org/bndr/pipreqs


.. image:: https://img.shields.io/pypi/v/pipreqs.svg
        :target: https://pypi.python.org/pypi/pipreqs


.. image:: https://codecov.io/gh/bndr/pipreqs/branch/master/graph/badge.svg?token=0rfPfUZEAX
        :target: https://codecov.io/gh/bndr/pipreqs

.. image:: https://img.shields.io/pypi/l/pipreqs.svg
        :target: https://pypi.python.org/pypi/pipreqs



Installation
------------

.. code-block:: sh

    pip install pipreqs

Obs.: if you don't want support for jupyter notebooks, you can install pipreqs without the dependencies that give support to it. 
To do so, run:

.. code-block:: sh

    pip install --no-deps pipreqs
    pip install yarg==0.1.9 docopt==0.6.2

Usage
-----

::

    Usage:
        pipreqs [options] [<path>]

    Arguments:
        <path>                The path to the directory containing the application files for which a requirements file
                              should be generated (defaults to the current working directory)

    Options:
        --use-local           Use ONLY local package info instead of querying PyPI
        --pypi-server <url>   Use custom PyPi server
        --proxy <url>         Use Proxy, parameter will be passed to requests library. You can also just set the
                              environments parameter in your terminal:
                              $ export HTTP_PROXY="http://10.10.1.10:3128"
                              $ export HTTPS_PROXY="https://10.10.1.10:1080"
        --debug               Print debug information
        --ignore <dirs>...    Ignore extra directories, each separated by a comma
        --no-follow-links     Do not follow symbolic links in the project
        --encoding <charset>  Use encoding parameter for file open
        --savepath <file>     Save the list of requirements in the given file
        --print               Output the list of requirements in the standard output
        --force               Overwrite existing requirements.txt
        --diff <file>         Compare modules in requirements.txt to project imports
        --clean <file>        Clean up requirements.txt by removing modules that are not imported in project
        --mode <scheme>       Enables dynamic versioning with <compat>, <gt> or <non-pin> schemes
                              <compat> | e.g. Flask~=1.1.2
                              <gt>     | e.g. Flask>=1.1.2
                              <no-pin> | e.g. Flask
        --scan-notebooks      Look for imports in jupyter notebook files.

Example
-------

::

    $ pipreqs /home/project/location
    Successfully saved requirements file in /home/project/location/requirements.txt

Contents of requirements.txt

::

    wheel==0.23.0
    Yarg==0.1.9
    docopt==0.6.2

Why not pip freeze?
-------------------

- ``pip freeze`` only saves the packages that are installed with ``pip install`` in your environment.
- ``pip freeze`` saves all packages in the environment including those that you don't use in your current project (if you don't have ``virtualenv``).
- and sometimes you just need to create ``requirements.txt`` for a new project without installing modules.
Description
No description provided
Readme Apache-2.0
Languages
Python 88.3%
Jupyter Notebook 8.6%
Makefile 3.1%