|
|
"""Exporter for the notebook conversion pipeline.
|
|
|
|
|
|
This module defines Exporter, a highly configurable converter
|
|
|
that uses Jinja2 to export 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
|
|
|
import os
|
|
|
|
|
|
# IPython imports
|
|
|
from IPython.config.configurable import Configurable
|
|
|
from IPython.nbformat import current as nbformat
|
|
|
from IPython.utils.traitlets import MetaHasTraits, Unicode, List, Bool
|
|
|
from IPython.utils.text import indent
|
|
|
|
|
|
# other libs/dependencies
|
|
|
from jinja2 import Environment, FileSystemLoader
|
|
|
from markdown import markdown
|
|
|
|
|
|
# local import
|
|
|
import filters.strings
|
|
|
import filters.markdown
|
|
|
import filters.latex
|
|
|
import filters.datatypefilter
|
|
|
import filters.pygments
|
|
|
import filters.ansi
|
|
|
|
|
|
import transformers.extractfigure
|
|
|
import transformers.csshtmlheader
|
|
|
import transformers.revealhelp
|
|
|
import transformers.coalescestreams
|
|
|
|
|
|
|
|
|
#-----------------------------------------------------------------------------
|
|
|
# Globals and constants
|
|
|
#-----------------------------------------------------------------------------
|
|
|
|
|
|
#Standard Jinja2 environment constants
|
|
|
TEMPLATE_PATH = "/../templates/"
|
|
|
TEMPLATE_SKELETON_PATH = "/../templates/skeleton/"
|
|
|
TEMPLATE_EXTENSION = ".tpl"
|
|
|
|
|
|
#Jinja2 extensions to load.
|
|
|
JINJA_EXTENSIONS = ['jinja2.ext.loopcontrols']
|
|
|
|
|
|
#-----------------------------------------------------------------------------
|
|
|
# Classes and functions
|
|
|
#-----------------------------------------------------------------------------
|
|
|
class Exporter(Configurable):
|
|
|
""" A Jinja2 base converter templates
|
|
|
|
|
|
Pre-process the IPYNB files, feed it through Jinja2 templates,
|
|
|
and spit an converted files and a data object with other data
|
|
|
should be mostly configurable
|
|
|
"""
|
|
|
|
|
|
pre_transformer_order = List(['haspyout_transformer'],
|
|
|
config=True,
|
|
|
help= """
|
|
|
An ordered list of pre-transformer to apply to the IPYNB
|
|
|
file before running through templates
|
|
|
"""
|
|
|
)
|
|
|
|
|
|
template_file = Unicode(
|
|
|
'', config=True,
|
|
|
help="Name of the template file to use")
|
|
|
|
|
|
fileext = Unicode(
|
|
|
'txt', config=True,
|
|
|
help="Extension of the file that should be written to disk"
|
|
|
)
|
|
|
|
|
|
stdout = Bool(
|
|
|
True, config=True,
|
|
|
help="""Whether to print the converted IPYNB file to stdout
|
|
|
"use full do diff files without actually writing a new file"""
|
|
|
)
|
|
|
|
|
|
write = Bool(
|
|
|
False, config=True,
|
|
|
help="""Should the converted notebook file be written to disk
|
|
|
along with potential extracted resources."""
|
|
|
)
|
|
|
|
|
|
#Processors that process the input data prior to the export, set in the
|
|
|
#constructor for this class.
|
|
|
preprocessors = []
|
|
|
|
|
|
def __init__(self, preprocessors={}, jinja_filters={}, config=None, export_format, **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.
|
|
|
"""
|
|
|
|
|
|
#Set the default options for the exporter.
|
|
|
default_config = self.config
|
|
|
|
|
|
#Set properties that must be set in the config class in order to
|
|
|
#propagate to other classes.
|
|
|
default_config.GlobalConfigurable.display_data_priority =['svg', 'png', 'latex', 'jpg', 'jpeg','text']
|
|
|
default_config.ExtractFigureTransformer.display_data_priority=['svg', 'png', 'latex', 'jpg', 'jpeg','text']
|
|
|
|
|
|
#Set default properties of the exporter.
|
|
|
#For most (or all cases), the template file name matches the format name.
|
|
|
self.display_data_priority= ['svg', 'png', 'latex', 'jpg', 'jpeg','text']
|
|
|
self.template_file = export_format
|
|
|
|
|
|
if not config == None:
|
|
|
default_config._merge(config)
|
|
|
config = default_config
|
|
|
|
|
|
#Call the base class constructor
|
|
|
super(Exporter, self).__init__(config=config, **kw)
|
|
|
|
|
|
#Standard environment
|
|
|
self.ext = TEMPLATE_EXTENSION
|
|
|
self._init_environment()
|
|
|
|
|
|
#TODO: Implement reflection style methods to get user transformers.
|
|
|
#for name in self.pre_transformer_order:
|
|
|
# # get the user-defined transformer first
|
|
|
# transformer = preprocessors.get(name, getattr(trans, name, None))
|
|
|
# if isinstance(transformer, MetaHasTraits):
|
|
|
# transformer = transformer(config=config)
|
|
|
# self.preprocessors.append(transformer)
|
|
|
|
|
|
#For compatibility, TODO: remove later.
|
|
|
self.preprocessors.append(transformers.coalescestreams.coalesce_streams)
|
|
|
self.preprocessors.append(transformers.extractfigure.ExtractFigureTransformer(config=config))
|
|
|
self.preprocessors.append(transformers.revealhelp.RevealHelpTransformer(config=config))
|
|
|
self.preprocessors.append(transformers.csshtmlheader.CSSHtmlHeaderTransformer(config=config))
|
|
|
|
|
|
#Add filters to the Jinja2 environment
|
|
|
self._register_filters(config)
|
|
|
|
|
|
#Load user filters. Overwrite existing filters if need be.
|
|
|
for key, user_filter in jinja_filters.iteritems():
|
|
|
if isinstance(user_filter, MetaHasTraits):
|
|
|
self.env.filters[key] = user_filter(config=config)
|
|
|
else:
|
|
|
self.env.filters[key] = user_filter
|
|
|
|
|
|
#Load the template file.
|
|
|
self.template = self.env.get_template(self.template_file+self.ext)
|
|
|
|
|
|
|
|
|
def export(self, nb):
|
|
|
"""Export notebook object
|
|
|
|
|
|
nb: Notebook object to export.
|
|
|
|
|
|
Returns both the converted ipynb file and a dict containing the
|
|
|
resources created along the way via the transformers and Jinja2
|
|
|
processing.
|
|
|
"""
|
|
|
|
|
|
nb, resources = self._preprocess(nb)
|
|
|
return self.template.render(nb=nb, resources=resources), resources
|
|
|
|
|
|
|
|
|
def from_filename(self, filename):
|
|
|
"""Read and export a notebook from a filename
|
|
|
|
|
|
filename: Filename of the notebook file to export.
|
|
|
|
|
|
Returns both the converted ipynb file and a dict containing the
|
|
|
resources created along the way via the transformers and Jinja2
|
|
|
processing.
|
|
|
"""
|
|
|
with io.open(filename) as f:
|
|
|
return self.export(nbformat.read(f, 'json'))
|
|
|
|
|
|
|
|
|
def from_file(self, file_stream):
|
|
|
"""Read and export a notebook from a filename
|
|
|
|
|
|
file_stream: File handle of file that contains notebook data.
|
|
|
|
|
|
Returns both the converted ipynb file and a dict containing the
|
|
|
resources created along the way via the transformers and Jinja2
|
|
|
processing.
|
|
|
"""
|
|
|
|
|
|
return self.export(nbformat.read(file_stream, 'json'))
|
|
|
|
|
|
|
|
|
def _init_environment(self):
|
|
|
self.env = Environment(
|
|
|
loader=FileSystemLoader([
|
|
|
os.path.dirname(os.path.realpath(__file__)) + TEMPLATE_PATH,
|
|
|
os.path.dirname(os.path.realpath(__file__)) + TEMPLATE_SKELETON_PATH,
|
|
|
]),
|
|
|
extensions=JINJA_EXTENSIONS
|
|
|
)
|
|
|
|
|
|
|
|
|
def _register_filters(self, config):
|
|
|
self.env.filters['indent'] = indent
|
|
|
self.env.filters['markdown'] = markdown
|
|
|
|
|
|
self.env.filters['ansi2html'] = filters.ansi.ansi2html
|
|
|
self.env.filters['filter_data_type'] = filters.datatypefilter.DataTypeFilter(config=config)
|
|
|
self.env.filters['get_lines'] = filters.strings.get_lines
|
|
|
self.env.filters['highlight'] = filters.pygments.highlight
|
|
|
self.env.filters['highlight2html'] = filters.pygments.highlight
|
|
|
self.env.filters['highlight2latex'] = filters.pygments.highlight2latex
|
|
|
self.env.filters['markdown2latex'] = filters.markdown.markdown2latex
|
|
|
self.env.filters['markdown2rst'] = filters.markdown.markdown2rst
|
|
|
self.env.filters['pycomment'] = filters.strings.python_comment
|
|
|
self.env.filters['rm_ansi'] = filters.ansi.remove_ansi
|
|
|
self.env.filters['rm_dollars'] = filters.strings.strip_dollars
|
|
|
self.env.filters['rm_fake'] = filters.strings.rm_fake
|
|
|
self.env.filters['rm_math_space'] = filters.latex.rm_math_space
|
|
|
self.env.filters['wrap'] = filters.strings.wrap
|
|
|
|
|
|
|
|
|
def _preprocess(self, nb):
|
|
|
""" Preprocess the notebook using the transformers specific
|
|
|
for the current export format.
|
|
|
|
|
|
nb: Notebook to preprocess
|
|
|
"""
|
|
|
|
|
|
#Dict of 'resources' that can be filled by the preprocessors.
|
|
|
resources = {}
|
|
|
|
|
|
#Run each transformer on the notebook. Carry the output along
|
|
|
#to each transformer
|
|
|
for transformer in self.preprocessors:
|
|
|
nb, resources = transformer(nb, resources)
|
|
|
return nb, resources
|
|
|
|
|
|
|