pylint

converters/template.py

@@ -1,224 +1,223 b''
 """Base classes for the notebook conversion pipeline.
 
 This module defines ConverterTemplate, a highly configurable converter
 that uses Jinja2 to convert notebook files into different format.
 
 You can register both pre-transformers that will act on the notebook format
 befor conversion and jinja filter that would then be availlable in the templates
 """
 #-----------------------------------------------------------------------------
 # Copyright (c) 2013, the IPython Development Team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
 # The full license is in the file COPYING.txt, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Imports
 #-----------------------------------------------------------------------------
 
 from __future__ import print_function, absolute_import
 
 # Stdlib imports
 import io
 
 # IPython imports
 from IPython.utils.traitlets import MetaHasTraits
 from IPython.utils.traitlets import (Unicode, List, Bool)
 from IPython.config.configurable import Configurable
 from IPython.nbformat import current as nbformat
 
 # other libs/dependencies
 from jinja2 import Environment, FileSystemLoader
 
 
 # local import (pre-transformers)
 import converters.transformers as trans
 
 # some jinja filters
 from converters.jinja_filters import (python_comment, indent,
         rm_fake, remove_ansi, markdown, highlight,
         ansi2html, markdown2latex, escape_tex, FilterDataType)
 
 from converters.utils import  markdown2rst
-from converters.config import  GlobalConfigurable
 
 
 
 # define differents environemnt with different
 # delimiters not to conflict with languages inside
 
 env = Environment(
         loader=FileSystemLoader([
             './templates/',
             './templates/skeleton/',
             ]),
         extensions=['jinja2.ext.loopcontrols']
         )
 
 texenv = Environment(
         loader=FileSystemLoader([
             './templates/tex/',
             './templates/skeleton/tex/',
             ]),
         extensions=['jinja2.ext.loopcontrols']
         )
 
 
 texenv.block_start_string = '((*'
 texenv.block_end_string = '*))'
 
 texenv.variable_start_string = '((('
 texenv.variable_end_string = ')))'
 
 texenv.comment_start_string = '((='
 texenv.comment_end_string = '=))'
 
 texenv.filters['escape_tex'] = escape_tex
 
 #-----------------------------------------------------------------------------
 # Class declarations
 #-----------------------------------------------------------------------------
 class ConversionException(Exception):
     pass
 
 class ConverterTemplate(Configurable):
     """ A Jinja2 base converter templates
 
     Preprocess the ipynb files, feed it throug jinja templates,
     and spit an converted files and a data object with other data
 
     shoudl be mostly configurable
     """
 
     pre_transformer_order = List(['haspyout_transformer'],
             config=True,
               help= """
                     An ordered list of pre transformer to apply to the ipynb
                     file befor running through templates
                     """
             )
 
     tex_environement = Bool(False,
             config=True,
             help=""" is this a tex environment or not """)
 
     template_file = Unicode('',
             config=True,
             help=""" Name of the template file to use """ )
     #-------------------------------------------------------------------------
     # Instance-level attributes that are set in the constructor for this
     # class.
     #-------------------------------------------------------------------------
 
 
     preprocessors = []
 
     def __init__(self, preprocessors={}, jinja_filters={}, config=None, **kw):
         """ Init a new converter.
 
         config: the Configurable config object to pass around.
 
         preprocessors: dict of **availlable** key/value function to run on
                        ipynb json data before conversion to extract/inline file.
                        See `transformer.py` and `ConfigurableTransformers`
 
                        set the order in which the transformers should apply
                        with the `pre_transformer_order` trait of this class
 
                        transformers registerd by this key will take precedence on
                        default one.
 
 
         jinja_filters: dict of supplementary jinja filter that should be made
                        availlable in template. If those are of Configurable Class type,
                        they will be instanciated with the config object as argument.
 
                        user defined filter will overwrite the one availlable by default.
         """
         super(ConverterTemplate, self).__init__(config=config, **kw)
 
         # variable parameters depending on the pype of jinja environement
         self.env = texenv  if self.tex_environement else env
         self.ext = '.tplx' if self.tex_environement else '.tpl'
 
         for name in self.pre_transformer_order:
             # get the user-defined transformer first
             transformer = getattr(preprocessors, name, getattr(trans, name, None))
             if isinstance(transformer, MetaHasTraits):
                 transformer = transformer(config=config)
             self.preprocessors.append(transformer)
 
         ## for compat, remove later
         self.preprocessors.append(trans.coalesce_streams)
         self.preprocessors.append(trans.ExtractFigureTransformer(config=config))
         self.preprocessors.append(trans.RevealHelpTransformer(config=config))
         self.preprocessors.append(trans.CSSHtmlHeaderTransformer(config=config))
 
         ##
         self.env.filters['filter_data_type'] = FilterDataType(config=config)
         self.env.filters['pycomment'] = python_comment
         self.env.filters['indent'] = indent
         self.env.filters['rm_fake'] = rm_fake
         self.env.filters['rm_ansi'] = remove_ansi
         self.env.filters['markdown'] = markdown
         self.env.filters['highlight'] = highlight
         self.env.filters['ansi2html'] = ansi2html
         self.env.filters['markdown2latex'] = markdown2latex
         self.env.filters['markdown2rst'] = markdown2rst
 
         ## user  filter will overwrite
         for key, filtr in jinja_filters.iteritems():
             if isinstance(filtr, MetaHasTraits):
                 self.env.filters[key] = filtr(config=config)
             else :
                 self.env.filters[key] = filtr
 
         self.template = self.env.get_template(self.template_file+self.ext)
 
 
     def process(self, nb):
         """
         preprocess the notebook json for easier use with the templates.
         will call all the `preprocessor`s in order before returning it.
         """
 
         # dict of 'resources' that could be made by the preprocessors
         # like key/value data to extract files from ipynb like in latex conversion
         resources = {}
 
         for preprocessor in self.preprocessors:
             nb, resources = preprocessor(nb, resources)
 
         return nb, resources
 
     def convert(self, nb):
         """ convert the ipynb file
 
         return both the converted ipynb file and a dict containing potential
         other resources
         """
         nb, resources = self.process(nb)
         return self.template.render(nb=nb, resources=resources), resources
 
 
     def from_filename(self, filename):
         """read and convert a notebook from a file name"""
         with io.open(filename) as f:
             return self.convert(nbformat.read(f, 'json'))
 
     def from_file(self, filelike):
         """read and convert a notebook from a filelike object
 
         filelike object will just be "read" and should be json format..
         """
         return self.convert(nbformat.read(filelike, 'json'))
 
     def from_json(self, json):
         """ not implemented
 
         Should convert from a json object
         """
         raise NotImplementedError('not implemented (yet?)')