|
|
"""This module defines a base Exporter class. For Jinja template-based export,
|
|
|
see templateexporter.py.
|
|
|
"""
|
|
|
|
|
|
#-----------------------------------------------------------------------------
|
|
|
# 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
|
|
|
import copy
|
|
|
import collections
|
|
|
import datetime
|
|
|
|
|
|
|
|
|
# IPython imports
|
|
|
from IPython.config.configurable import LoggingConfigurable
|
|
|
from IPython.config import Config
|
|
|
from IPython.nbformat import current as nbformat
|
|
|
from IPython.utils.traitlets import MetaHasTraits, Unicode, List
|
|
|
from IPython.utils.importstring import import_item
|
|
|
from IPython.utils import text, py3compat
|
|
|
|
|
|
#-----------------------------------------------------------------------------
|
|
|
# Class
|
|
|
#-----------------------------------------------------------------------------
|
|
|
|
|
|
class ResourcesDict(collections.defaultdict):
|
|
|
def __missing__(self, key):
|
|
|
return ''
|
|
|
|
|
|
|
|
|
class Exporter(LoggingConfigurable):
|
|
|
"""
|
|
|
Class containing methods that sequentially run a list of preprocessors on a
|
|
|
NotebookNode object and then return the modified NotebookNode object and
|
|
|
accompanying resources dict.
|
|
|
"""
|
|
|
|
|
|
file_extension = Unicode(
|
|
|
'txt', config=True,
|
|
|
help="Extension of the file that should be written to disk"
|
|
|
)
|
|
|
|
|
|
# MIME type of the result file, for HTTP response headers.
|
|
|
# This is *not* a traitlet, because we want to be able to access it from
|
|
|
# the class, not just on instances.
|
|
|
output_mimetype = ''
|
|
|
|
|
|
#Configurability, allows the user to easily add filters and preprocessors.
|
|
|
preprocessors = List(config=True,
|
|
|
help="""List of preprocessors, by name or namespace, to enable.""")
|
|
|
|
|
|
_preprocessors = None
|
|
|
|
|
|
default_preprocessors = List(['IPython.nbconvert.preprocessors.coalesce_streams',
|
|
|
'IPython.nbconvert.preprocessors.SVG2PDFPreprocessor',
|
|
|
'IPython.nbconvert.preprocessors.ExtractOutputPreprocessor',
|
|
|
'IPython.nbconvert.preprocessors.CSSHTMLHeaderPreprocessor',
|
|
|
'IPython.nbconvert.preprocessors.RevealHelpPreprocessor',
|
|
|
'IPython.nbconvert.preprocessors.LatexPreprocessor',
|
|
|
'IPython.nbconvert.preprocessors.HighlightMagicsPreprocessor'],
|
|
|
config=True,
|
|
|
help="""List of preprocessors available by default, by name, namespace,
|
|
|
instance, or type.""")
|
|
|
|
|
|
|
|
|
def __init__(self, config=None, **kw):
|
|
|
"""
|
|
|
Public constructor
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
config : config
|
|
|
User configuration instance.
|
|
|
"""
|
|
|
with_default_config = self.default_config
|
|
|
if config:
|
|
|
with_default_config.merge(config)
|
|
|
|
|
|
super(Exporter, self).__init__(config=with_default_config, **kw)
|
|
|
|
|
|
self._init_preprocessors()
|
|
|
|
|
|
|
|
|
@property
|
|
|
def default_config(self):
|
|
|
return Config()
|
|
|
|
|
|
@nbformat.docstring_nbformat_mod
|
|
|
def from_notebook_node(self, nb, resources=None, **kw):
|
|
|
"""
|
|
|
Convert a notebook from a notebook node instance.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
nb : :class:`~{nbformat_mod}.nbbase.NotebookNode`
|
|
|
Notebook node
|
|
|
resources : dict
|
|
|
Additional resources that can be accessed read/write by
|
|
|
preprocessors and filters.
|
|
|
**kw
|
|
|
Ignored (?)
|
|
|
"""
|
|
|
nb_copy = copy.deepcopy(nb)
|
|
|
resources = self._init_resources(resources)
|
|
|
|
|
|
if 'language' in nb['metadata']:
|
|
|
resources['language'] = nb['metadata']['language'].lower()
|
|
|
|
|
|
# Preprocess
|
|
|
nb_copy, resources = self._preprocess(nb_copy, resources)
|
|
|
|
|
|
return nb_copy, resources
|
|
|
|
|
|
|
|
|
def from_filename(self, filename, resources=None, **kw):
|
|
|
"""
|
|
|
Convert a notebook from a notebook file.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
filename : str
|
|
|
Full filename of the notebook file to open and convert.
|
|
|
"""
|
|
|
|
|
|
# Pull the metadata from the filesystem.
|
|
|
if resources is None:
|
|
|
resources = ResourcesDict()
|
|
|
if not 'metadata' in resources or resources['metadata'] == '':
|
|
|
resources['metadata'] = ResourcesDict()
|
|
|
basename = os.path.basename(filename)
|
|
|
notebook_name = basename[:basename.rfind('.')]
|
|
|
resources['metadata']['name'] = notebook_name
|
|
|
|
|
|
modified_date = datetime.datetime.fromtimestamp(os.path.getmtime(filename))
|
|
|
resources['metadata']['modified_date'] = modified_date.strftime(text.date_format)
|
|
|
|
|
|
with io.open(filename, encoding='utf-8') as f:
|
|
|
return self.from_notebook_node(nbformat.read(f, 'json'), resources=resources, **kw)
|
|
|
|
|
|
|
|
|
def from_file(self, file_stream, resources=None, **kw):
|
|
|
"""
|
|
|
Convert a notebook from a notebook file.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
file_stream : file-like object
|
|
|
Notebook file-like object to convert.
|
|
|
"""
|
|
|
return self.from_notebook_node(nbformat.read(file_stream, 'json'), resources=resources, **kw)
|
|
|
|
|
|
|
|
|
def register_preprocessor(self, preprocessor, enabled=False):
|
|
|
"""
|
|
|
Register a preprocessor.
|
|
|
Preprocessors are classes that act upon the notebook before it is
|
|
|
passed into the Jinja templating engine. preprocessors are also
|
|
|
capable of passing additional information to the Jinja
|
|
|
templating engine.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
preprocessor : preprocessor
|
|
|
"""
|
|
|
if preprocessor is None:
|
|
|
raise TypeError('preprocessor')
|
|
|
isclass = isinstance(preprocessor, type)
|
|
|
constructed = not isclass
|
|
|
|
|
|
# Handle preprocessor's registration based on it's type
|
|
|
if constructed and isinstance(preprocessor, py3compat.string_types):
|
|
|
# Preprocessor is a string, import the namespace and recursively call
|
|
|
# this register_preprocessor method
|
|
|
preprocessor_cls = import_item(preprocessor)
|
|
|
return self.register_preprocessor(preprocessor_cls, enabled)
|
|
|
|
|
|
if constructed and hasattr(preprocessor, '__call__'):
|
|
|
# Preprocessor is a function, no need to construct it.
|
|
|
# Register and return the preprocessor.
|
|
|
if enabled:
|
|
|
preprocessor.enabled = True
|
|
|
self._preprocessors.append(preprocessor)
|
|
|
return preprocessor
|
|
|
|
|
|
elif isclass and isinstance(preprocessor, MetaHasTraits):
|
|
|
# Preprocessor is configurable. Make sure to pass in new default for
|
|
|
# the enabled flag if one was specified.
|
|
|
self.register_preprocessor(preprocessor(parent=self), enabled)
|
|
|
|
|
|
elif isclass:
|
|
|
# Preprocessor is not configurable, construct it
|
|
|
self.register_preprocessor(preprocessor(), enabled)
|
|
|
|
|
|
else:
|
|
|
# Preprocessor is an instance of something without a __call__
|
|
|
# attribute.
|
|
|
raise TypeError('preprocessor')
|
|
|
|
|
|
|
|
|
def _init_preprocessors(self):
|
|
|
"""
|
|
|
Register all of the preprocessors needed for this exporter, disabled
|
|
|
unless specified explicitly.
|
|
|
"""
|
|
|
if self._preprocessors is None:
|
|
|
self._preprocessors = []
|
|
|
|
|
|
#Load default preprocessors (not necessarly enabled by default).
|
|
|
if self.default_preprocessors:
|
|
|
for preprocessor in self.default_preprocessors:
|
|
|
self.register_preprocessor(preprocessor)
|
|
|
|
|
|
#Load user preprocessors. Enable by default.
|
|
|
if self.preprocessors:
|
|
|
for preprocessor in self.preprocessors:
|
|
|
self.register_preprocessor(preprocessor, enabled=True)
|
|
|
|
|
|
|
|
|
def _init_resources(self, resources):
|
|
|
|
|
|
#Make sure the resources dict is of ResourcesDict type.
|
|
|
if resources is None:
|
|
|
resources = ResourcesDict()
|
|
|
if not isinstance(resources, ResourcesDict):
|
|
|
new_resources = ResourcesDict()
|
|
|
new_resources.update(resources)
|
|
|
resources = new_resources
|
|
|
|
|
|
#Make sure the metadata extension exists in resources
|
|
|
if 'metadata' in resources:
|
|
|
if not isinstance(resources['metadata'], ResourcesDict):
|
|
|
resources['metadata'] = ResourcesDict(resources['metadata'])
|
|
|
else:
|
|
|
resources['metadata'] = ResourcesDict()
|
|
|
if not resources['metadata']['name']:
|
|
|
resources['metadata']['name'] = 'Notebook'
|
|
|
|
|
|
#Set the output extension
|
|
|
resources['output_extension'] = self.file_extension
|
|
|
return resources
|
|
|
|
|
|
|
|
|
def _preprocess(self, nb, resources):
|
|
|
"""
|
|
|
Preprocess the notebook before passing it into the Jinja engine.
|
|
|
To preprocess the notebook is to apply all of the
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
nb : notebook node
|
|
|
notebook that is being exported.
|
|
|
resources : a dict of additional resources that
|
|
|
can be accessed read/write by preprocessors
|
|
|
"""
|
|
|
|
|
|
# Do a copy.deepcopy first,
|
|
|
# we are never safe enough with what the preprocessors could do.
|
|
|
nbc = copy.deepcopy(nb)
|
|
|
resc = copy.deepcopy(resources)
|
|
|
|
|
|
#Run each preprocessor on the notebook. Carry the output along
|
|
|
#to each preprocessor
|
|
|
for preprocessor in self._preprocessors:
|
|
|
nbc, resc = preprocessor(nbc, resc)
|
|
|
return nbc, resc
|
|
|
|