pandocfilters 1.4.1

Utilities for writing pandoc filters in python

pandocfilters
=============

A python module for writing `pandoc <http://pandoc.org/>`_ filters

What are pandoc filters?
--------------------------
Pandoc filters
are pipes that read a JSON serialization of the Pandoc AST
from stdin, transform it in some way, and write it to stdout.
They can be used with pandoc (>= 1.12) either using pipes ::

pandoc -t json -s | ./caps.py | pandoc -f json

or using the ``--filter`` (or ``-F``) command-line option. ::

pandoc --filter ./caps.py -s

For more on pandoc filters, see the pandoc documentation under ``--filter``
and `the tutorial on writing filters`__.

__ http://johnmacfarlane.net/pandoc/scripting.html

Compatibility
----------------
Pandoc 1.16 introduced link and image `attributes` to the existing
`caption` and `target` arguments, requiring a change in pandocfilters
that breaks backwards compatibility. Consequently, you should use:

- pandocfilters version <= 1.2.4 for pandoc versions 1.12--1.15, and
- pandocfilters version >= 1.3.0 for pandoc versions >= 1.16.

Pandoc 1.17.3 (pandoc-types 1.17.*) introduced a new JSON format.
pandocfilters 1.4.0 should work with both the old and the new
format.

Installing
--------------
Run this inside the present directory::

python setup.py install

Or install from PyPI::

pip install pandocfilters

Available functions
----------------------
The main functions ``pandocfilters`` exports are

- ``walk(x, action, format, meta)``

Walk a tree, applying an action to every object. Returns a modified
tree. An action is a function of the form
``action(key, value, format, meta)``, where:

- ``key`` is the type of the pandoc object (e.g. 'Str', 'Para')
``value`` is
- the contents of the object (e.g. a string for 'Str', a list of
inline elements for 'Para')
- ``format`` is the target output format (as supplied by the
``format`` argument of ``walk``)
- ``meta`` is the document's metadata

The return of an action is either:

- ``None``: this means that the object should remain unchanged
- a pandoc object: this will replace the original object
- a list of pandoc objects: these will replace the original object;
the list is merged with the neighbors of the orignal objects
(spliced into the list the original object belongs to); returning
an empty list deletes the object

- ``toJSONFilter(action)``

Like ``toJSONFilters``, but takes a single action as argument.

- ``toJSONFilters(actions)``

Generate a JSON-to-JSON filter from stdin to stdout

The filter:

- reads a JSON-formatted pandoc document from stdin
- transforms it by walking the tree and performing the actions
- returns a new JSON-formatted pandoc document to stdout

The argument ``actions`` is a list of functions of the form
``action(key, value, format, meta)``, as described in more detail
under ``walk``.

This function calls ``applyJSONFilters``, with the ``format``
argument provided by the first command-line argument, if present.
(Pandoc sets this by default when calling filters.)

- ``applyJSONFilters(actions, source, format="")``

Walk through JSON structure and apply filters

This:

- reads a JSON-formatted pandoc document from a source string
- transforms it by walking the tree and performing the actions
- returns a new JSON-formatted pandoc document as a string

The ``actions`` argument is a list of functions (see ``walk`` for a
full description).

The argument ``source`` is a string encoded JSON object.

The argument ``format`` is a string describing the output format.

Returns a the new JSON-formatted pandoc document.

- ``stringify(x)``

Walks the tree x and returns concatenated string content, leaving out
all formatting.

- ``attributes(attrs)``

Returns an attribute list, constructed from the dictionary attrs.
How to use
--------------
Most users will only need ``toJSONFilter``. Here is a simple example
of its use::

#!/usr/bin/env python

"""
Pandoc filter to convert all regular text to uppercase.
Code, link URLs, etc. are not affected.
"""

from pandocfilters import toJSONFilter, Str

def caps(key, value, format, meta):
if key == 'Str':
return Str(value.upper())

if __name__ == "__main__":
toJSONFilter(caps)

Examples
--------

The examples subdirectory in the source repository contains the
following filters. These filters should provide a useful starting point
for developing your own pandocfilters.

``abc.py``
Pandoc filter to process code blocks with class ``abc`` containing ABC
notation into images. Assumes that abcm2ps and ImageMagick's convert
are in the path. Images are put in the abc-images directory.

``caps.py``
Pandoc filter to convert all regular text to uppercase. Code, link
URLs, etc. are not affected.

``comments.py``
Pandoc filter that causes everything between
``<!-- BEGIN COMMENT -->`` and ``<!-- END COMMENT -->`` to be ignored.
The comment lines must appear on lines by themselves, with blank
lines surrounding

``deemph.py``
Pandoc filter that causes emphasized text to be displayed in ALL
CAPS.

``deflists.py``
Pandoc filter to convert definition lists to bullet lists with the
defined terms in strong emphasis (for compatibility with standard
markdown).

``gabc.py``
Pandoc filter to convert code blocks with class "gabc" to LaTeX
\\gabcsnippet commands in LaTeX output, and to images in HTML output.

``graphviz.py``
Pandoc filter to process code blocks with class ``graphviz`` into
graphviz-generated images.

``lilypond.py``
Pandoc filter to process code blocks with class "ly" containing
Lilypond notation.

``metavars.py``
Pandoc filter to allow interpolation of metadata fields into a
document. ``%{fields}`` will be replaced by the field's value, assuming
it is of the type ``MetaInlines`` or ``MetaString``.

``myemph.py``
Pandoc filter that causes emphasis to be rendered using the custom
macro ``\myemph{...}`` rather than ``\emph{...}`` in latex. Other output
formats are unaffected.

``plantuml.py``
Pandoc filter to process code blocks with class ``plantuml`` to images.
Needs `plantuml.jar` from http://plantuml.com/.

``theorem.py``
Pandoc filter to convert divs with ``class="theorem"`` to LaTeX theorem
environments in LaTeX output, and to numbered theorems in HTML
output.

``tikz.py``
Pandoc filter to process raw latex tikz environments into images.
Assumes that pdflatex is in the path, and that the standalone
package is available. Also assumes that ImageMagick's convert is in
the path. Images are put in the ``tikz-images`` directory.