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"""This module defines Exporter, a highly configurable converter
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that uses Jinja2 to export notebook files into different formats.
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"""
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#-----------------------------------------------------------------------------
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# Copyright (c) 2013, the IPython Development Team.
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#
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# Distributed under the terms of the Modified BSD License.
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#
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# The full license is in the file COPYING.txt, distributed with this software.
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#-----------------------------------------------------------------------------
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#-----------------------------------------------------------------------------
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# Imports
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#-----------------------------------------------------------------------------
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from __future__ import print_function, absolute_import
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# Stdlib imports
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import io
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import os
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import copy
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import collections
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import datetime
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# IPython imports
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from IPython.config.configurable import LoggingConfigurable
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from IPython.config import Config
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from IPython.nbformat import current as nbformat
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from IPython.utils.traitlets import MetaHasTraits, Unicode, List
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from IPython.utils.importstring import import_item
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from IPython.utils import text, py3compat
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from IPython.nbconvert import preprocessors as nbpreprocessors
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#-----------------------------------------------------------------------------
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# Class
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#-----------------------------------------------------------------------------
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class ResourcesDict(collections.defaultdict):
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def __missing__(self, key):
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return ''
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class Exporter(LoggingConfigurable):
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"""
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Class containing methods that sequentially run a list of preprocessors on a
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NotebookNode object and then return the modified NotebookNode object and
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accompanying resources dict.
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"""
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file_extension = Unicode(
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'txt', config=True,
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help="Extension of the file that should be written to disk"
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)
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#Configurability, allows the user to easily add filters and preprocessors.
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preprocessors = List(config=True,
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help="""List of preprocessors, by name or namespace, to enable.""")
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_preprocessors = None
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default_preprocessors = List(['IPython.nbconvert.preprocessors.coalesce_streams',
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'IPython.nbconvert.preprocessors.SVG2PDFPreprocessor',
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'IPython.nbconvert.preprocessors.ExtractOutputPreprocessor',
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'IPython.nbconvert.preprocessors.CSSHTMLHeaderPreprocessor',
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'IPython.nbconvert.preprocessors.RevealHelpPreprocessor',
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'IPython.nbconvert.preprocessors.LatexPreprocessor',
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'IPython.nbconvert.preprocessors.HighlightMagicsPreprocessor'],
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config=True,
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help="""List of preprocessors available by default, by name, namespace,
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instance, or type.""")
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def __init__(self, config=None, **kw):
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"""
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Public constructor
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Parameters
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----------
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config : config
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User configuration instance.
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"""
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with_default_config = self.default_config
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if config:
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with_default_config.merge(config)
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super(Exporter, self).__init__(config=with_default_config, **kw)
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self._init_preprocessors()
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@property
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def default_config(self):
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return Config()
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def from_notebook_node(self, nb, resources=None, **kw):
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"""
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Convert a notebook from a notebook node instance.
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Parameters
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----------
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nb : Notebook node
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resources : dict (**kw)
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of additional resources that can be accessed read/write by
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preprocessors.
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"""
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nb_copy = copy.deepcopy(nb)
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resources = self._init_resources(resources)
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# Preprocess
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nb_copy, resources = self._preprocess(nb_copy, resources)
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return nb_copy, resources
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def from_filename(self, filename, resources=None, **kw):
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"""
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Convert a notebook from a notebook file.
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Parameters
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----------
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filename : str
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Full filename of the notebook file to open and convert.
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"""
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# Pull the metadata from the filesystem.
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if resources is None:
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resources = ResourcesDict()
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if not 'metadata' in resources or resources['metadata'] == '':
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resources['metadata'] = ResourcesDict()
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basename = os.path.basename(filename)
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notebook_name = basename[:basename.rfind('.')]
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resources['metadata']['name'] = notebook_name
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modified_date = datetime.datetime.fromtimestamp(os.path.getmtime(filename))
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resources['metadata']['modified_date'] = modified_date.strftime(text.date_format)
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with io.open(filename) as f:
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return self.from_notebook_node(nbformat.read(f, 'json'), resources=resources, **kw)
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def from_file(self, file_stream, resources=None, **kw):
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"""
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Convert a notebook from a notebook file.
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Parameters
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----------
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file_stream : file-like object
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Notebook file-like object to convert.
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"""
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return self.from_notebook_node(nbformat.read(file_stream, 'json'), resources=resources, **kw)
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def register_preprocessor(self, preprocessor, enabled=False):
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"""
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Register a preprocessor.
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Preprocessors are classes that act upon the notebook before it is
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passed into the Jinja templating engine. preprocessors are also
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capable of passing additional information to the Jinja
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templating engine.
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Parameters
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----------
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preprocessor : preprocessor
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"""
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if preprocessor is None:
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raise TypeError('preprocessor')
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isclass = isinstance(preprocessor, type)
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constructed = not isclass
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# Handle preprocessor's registration based on it's type
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if constructed and isinstance(preprocessor, py3compat.string_types):
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# Preprocessor is a string, import the namespace and recursively call
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# this register_preprocessor method
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preprocessor_cls = import_item(preprocessor)
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return self.register_preprocessor(preprocessor_cls, enabled)
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if constructed and hasattr(preprocessor, '__call__'):
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# Preprocessor is a function, no need to construct it.
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# Register and return the preprocessor.
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if enabled:
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preprocessor.enabled = True
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self._preprocessors.append(preprocessor)
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return preprocessor
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elif isclass and isinstance(preprocessor, MetaHasTraits):
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# Preprocessor is configurable. Make sure to pass in new default for
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# the enabled flag if one was specified.
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self.register_preprocessor(preprocessor(parent=self), enabled)
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elif isclass:
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# Preprocessor is not configurable, construct it
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self.register_preprocessor(preprocessor(), enabled)
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else:
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# Preprocessor is an instance of something without a __call__
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# attribute.
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raise TypeError('preprocessor')
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def _init_preprocessors(self):
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"""
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Register all of the preprocessors needed for this exporter, disabled
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unless specified explicitly.
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"""
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if self._preprocessors is None:
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self._preprocessors = []
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#Load default preprocessors (not necessarly enabled by default).
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if self.default_preprocessors:
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for preprocessor in self.default_preprocessors:
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self.register_preprocessor(preprocessor)
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#Load user preprocessors. Enable by default.
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if self.preprocessors:
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for preprocessor in self.preprocessors:
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self.register_preprocessor(preprocessor, enabled=True)
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def _init_resources(self, resources):
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#Make sure the resources dict is of ResourcesDict type.
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if resources is None:
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resources = ResourcesDict()
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if not isinstance(resources, ResourcesDict):
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new_resources = ResourcesDict()
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new_resources.update(resources)
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resources = new_resources
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#Make sure the metadata extension exists in resources
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if 'metadata' in resources:
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if not isinstance(resources['metadata'], ResourcesDict):
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resources['metadata'] = ResourcesDict(resources['metadata'])
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else:
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resources['metadata'] = ResourcesDict()
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if not resources['metadata']['name']:
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resources['metadata']['name'] = 'Notebook'
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#Set the output extension
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resources['output_extension'] = self.file_extension
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return resources
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def _preprocess(self, nb, resources):
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"""
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Preprocess the notebook before passing it into the Jinja engine.
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To preprocess the notebook is to apply all of the
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Parameters
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----------
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nb : notebook node
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notebook that is being exported.
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resources : a dict of additional resources that
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can be accessed read/write by preprocessors
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"""
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# Do a copy.deepcopy first,
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# we are never safe enough with what the preprocessors could do.
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nbc = copy.deepcopy(nb)
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resc = copy.deepcopy(resources)
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#Run each preprocessor on the notebook. Carry the output along
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#to each preprocessor
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for preprocessor in self._preprocessors:
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nbc, resc = preprocessor(nbc, resc)
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return nbc, resc
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