Metadata-Version: 2.0
Name: svglib
Version: 0.9.0b0
Summary: A pure-Python library for reading and converting SVG
Home-page: https://github.com/deeplook/svglib
Author: Dinu Gherman
Author-email: gherman@darwin.in-berlin.de
License: LGPL 3
Description-Content-Type: UNKNOWN
Keywords: SVG,PDF,reportlab,conversion,graphics
Platform: Posix
Platform: Windows
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Documentation
Classifier: Topic :: Utilities
Classifier: Topic :: Printing
Classifier: Topic :: Multimedia :: Graphics :: Graphics Conversion
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Markup :: XML
Requires-Dist: reportlab
Requires-Dist: lxml
Requires-Dist: tinycss2 (>=0.6.0)
Requires-Dist: cssselect2 (>=0.2.0)

.. -*- mode: rst -*-

======
Svglib
======

---------------------------------------------------------------------------
A pure-Python library for reading and converting SVG
---------------------------------------------------------------------------

|ci| |appveyor| |pypi| |pyup|

.. |ci| image:: http://img.shields.io/travis/deeplook/svglib.svg
  :target: https://travis-ci.org/deeplook/svglib

.. |appveyor| image:: https://ci.appveyor.com/api/projects/status/4guofbxkwgsu8537/branch/master?svg=true
  :target: https://ci.appveyor.com/project/deeplook/svglib

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

.. |pyup| image:: https://pyup.io/repos/github/deeplook/svglib/shield.svg
  :target: https://pyup.io/repos/github/deeplook/svglib/


Warning
-------

**Release 0.9.0b0 will be an interrim release (still work in progress)
and, while containing many improvements over the previous 0.8.1 release,
will be removed from PyPI again and fully replaced with 0.9.0 final
within a timeframe of one or two weeks after publishing 0.9.0b0!**


About
-----

``Svglib`` is a pure-Python library for reading SVG_ files and converting
them (to a reasonable degree) to other formats using the ReportLab_ Open
Source toolkit.

Used as a package you can read existing SVG files and convert them into
ReportLab ``Drawing`` objects that can be used in a variety of contexts,
e.g. as ReportLab Platypus ``Flowable`` objects or in RML_.
As a command-line tool it converts SVG files into PDF ones (but adding
other output formats like bitmap or EPS is really easy and will be better
supported, soon).

Tests include a huge `W3C SVG test suite`_ plus ca. 200 `flags from
Wikipedia`_ and some selected `symbols from Wikipedia`_ (with increasingly
less pointing to missing features).

This release introduces *many* contributions by Claude Paroz, who
stepped forward to give this project a long needed overhaul after ca.
six years of taking a nap, for which I'm really very grateful! Thanks,
Claude!

Previous versions were hosted at https://bitbucket.org/deeplook/svglib.


Features
--------

- convert SVG_ files into ReportLab_ Graphics ``Drawing`` objects
- handle plain or compressed SVG files (.svg and .svgz)
- allow patterns for output files on command-line
- install a Python package named ``svglib``
- install a Python command-line script named ``svg2pdf``
- provide a PyTest_ test suite with over 90% code coverage
- test entire `W3C SVG test suite`_ after pulling from the internet
- test all SVG `flags from Wikipedia`_ after pulling from the internet
- test selected SVG `symbols from Wikipedia`_ after pulling from the net
- run on Python 2.7 and Python 3.5 and 3.6


Known limitations
-----------------

- support for stylesheets is still experimental. Please report any
  bug or shortcoming on the `svglib issue tracker`_.
- clipping is limited to single paths, no mask support
- color gradients are not supported


Examples
--------

You can use ``svglib`` as a Python package e.g. like in the following
interactive Python session::

    >>> from svglib.svglib import svg2rlg
    >>> from reportlab.graphics import renderPDF, renderPM
    >>>
    >>> drawing = svg2rlg("file.svg")
    >>> renderPDF.drawToFile(drawing, "file.pdf")
    >>> renderPM.drawToFile(drawing, "file.png", fmt="PNG")

Note that the second parameter of ``drawToFile`` can be any
`Python file object`_, like a ``BytesIO`` buffer if you don't want the result
to be written on disk for example.

In addition a script named ``svg2pdf`` can be used more easily from
the system command-line. Here is the output from ``svg2pdf -h``::

    usage: svg2pdf [-h] [-v] [-o PATH_PAT] [PATH [PATH ...]]

    svg2pdf v. 0.9.0b0
    A converter from SVG to PDF (via ReportLab Graphics)

    positional arguments:
      PATH                  Input SVG file path with extension .svg or .svgz.

    optional arguments:
      -h, --help            show this help message and exit
      -v, --version         Print version number and exit.
      -o PATH_PAT, --output PATH_PAT
                            Set output path (incl. the placeholders: dirname,
                            basename,base, ext, now) in both, %(name)s and {name}
                            notations.

    examples:
      # convert path/file.svg to path/file.pdf
      svg2pdf path/file.svg

      # convert file1.svg to file1.pdf and file2.svgz to file2.pdf
      svg2pdf file1.svg file2.svgz

      # convert file.svg to out.pdf
      svg2pdf -o out.pdf file.svg

      # convert all SVG files in path/ to PDF files with names like:
      # path/file1.svg -> file1.pdf
      svg2pdf -o "%(base)s.pdf" path/file*.svg

      # like before but with timestamp in the PDF files:
      # path/file1.svg -> path/out-12-58-36-file1.pdf
      svg2pdf -o {{dirname}}/out-{{now.hour}}-{{now.minute}}-{{now.second}}-%(base)s.pdf path/file*.svg

    issues/pull requests:
        https://github.com/deeplook/svglib

    Copyleft by Dinu Gherman, 2008-2017 (LGPL 3):
        http://www.gnu.org/copyleft/gpl.html


Dependencies
------------

``Svglib`` depends mainly on the ``reportlab`` package, which provides
the abstractions for building complex ``Drawings`` which it can render
into different fileformats, including PDF, EPS, SVG and various bitmaps
ones. Other dependancies are ``lxml`` which is used in the context of SVG
CSS stylesheets.


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

There are three ways to install ``svglib``.

1. Using ``pip``
++++++++++++++++

With the ``pip`` command on your system and a working internet
connection you can install the newest version of ``svglib`` with only
one command in a terminal::

    $ pip install svglib

You can also use ``pip`` to install the very latest version of the
repository from GitHub, but then you won't be able to conveniently
run the test suite::

    $ pip install git+https://github.com/deeplook/svglib


2. Using ``conda``
++++++++++++++++++

If you use Anaconda_ or Miniconda_ you are surely using its respective package
manager, Conda_, as well. In that case the latest ``svglib`` you can install
is 0.8.1 (until a higher version will be available) using these simple commands::

    $ conda config --add channels conda-forge
    $ conda install svglib

``Svglib`` was kindly packaged for ``conda`` by nicoddemus_. See here more about
`svglib with conda`_.


3. Manual installation
+++++++++++++++++++++++

Alternatively, you can install a tarball like ``svglib-0.9.0b0.tar.gz``
after downloading it from the `svglib page on PyPI`_ or the
`svglib releases page on GitHub`_ and executing a sequence of commands
like shown here::

    $ tar xfz svglib-0.9.0b0.tar.gz
    $ cs svglib-0.9.0b0
    $ python setup.py install

This will install a Python package named ``svglib`` in the
``site-packages`` subfolder of your Python installation and a script
tool named ``svg2pdf`` in your ``bin`` directory, e.g. in
``/usr/local/bin``.


Testing
-------

The ``svglib`` tarball distribution contains a PyTest_ test suite
in the ``tests`` directory. There, in ``tests/README.rst``, you can
also read more about testing. You can run the testsuite e.g. like
shown in the following lines on the command-line::

    $ tar xfz svglib-0.9.0b0.tar.gz
    $ cd svglib-0.9.0b0
    $ PYTHONPATH=. py.test
    ======================== test session starts =========================
    platform darwin -- Python 3.5.2, pytest-3.0.5, py-1.4.32, pluggy-0.4.0
    rootdir: /Users/dinu/repos/github/deeplook/svglib, inifile:
    plugins: cov-2.4.0
    collected 36 items

    tests/test_basic.py ............................
    tests/test_samples.py .s.s.s.s

    =============== 32 passed, 4 skipped in 49.18 seconds ================


Bug reports
-----------

Please report bugs on the `svglib issue tracker`_ on GitHub (pull
requests are also appreciated)!
If necessary, please include information about the operating system, as
well as the versions of ``svglib``, ReportLab and Python being used!


.. _SVG: http://www.w3.org/Graphics/SVG/
.. _W3C SVG test suite:
      http://www.w3.org/Graphics/SVG/WG/wiki/Test_Suite_Overview
.. _flags from Wikipedia:
      https://en.wikipedia.org/wiki/Gallery_of_sovereign_state_flags
.. _symbols from Wikipedia:
      http://en.wikipedia.org/wiki/List_of_symbols
.. _ReportLab: http://www.reportlab.org
.. _RML: http://www.reportlab.com/software/rml-reference/
.. _svglib issue tracker: https://github.com/deeplook/svglib/issues
.. _PyTest: http://pytest.org
.. _svglib page on PyPI: https://pypi.python.org/pypi/svglib
.. _svglib releases page on GitHub: https://github.com/deeplook/svglib/releases
.. _Python file object: https://docs.python.org/3/glossary.html#term-file-object
.. _Anaconda: https://www.anaconda.com/download/
.. _Miniconda: https://conda.io/miniconda.html
.. _Conda: https://conda.io
.. _svglib with conda: https://github.com/conda-forge/svglib-feedstock
.. _nicoddemus: https://github.com/nicoddemus


