|
|
"""Base class for preprocessors"""
|
|
|
|
|
|
# Copyright (c) IPython Development Team.
|
|
|
# Distributed under the terms of the Modified BSD License.
|
|
|
|
|
|
from ..utils.base import NbConvertBase
|
|
|
from IPython.utils.traitlets import Bool
|
|
|
|
|
|
|
|
|
class Preprocessor(NbConvertBase):
|
|
|
""" A configurable preprocessor
|
|
|
|
|
|
Inherit from this class if you wish to have configurability for your
|
|
|
preprocessor.
|
|
|
|
|
|
Any configurable traitlets this class exposed will be configurable in
|
|
|
profiles using c.SubClassName.attribute = value
|
|
|
|
|
|
you can overwrite :meth:`preprocess_cell` to apply a transformation
|
|
|
independently on each cell or :meth:`preprocess` if you prefer your own
|
|
|
logic. See corresponding docstring for informations.
|
|
|
|
|
|
Disabled by default and can be enabled via the config by
|
|
|
'c.YourPreprocessorName.enabled = True'
|
|
|
"""
|
|
|
|
|
|
enabled = Bool(False, config=True)
|
|
|
|
|
|
def __init__(self, **kw):
|
|
|
"""
|
|
|
Public constructor
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
config : Config
|
|
|
Configuration file structure
|
|
|
**kw : misc
|
|
|
Additional arguments
|
|
|
"""
|
|
|
|
|
|
super(Preprocessor, self).__init__(**kw)
|
|
|
|
|
|
|
|
|
def __call__(self, nb, resources):
|
|
|
if self.enabled:
|
|
|
self.log.debug("Applying preprocessor: %s", self.__class__.__name__)
|
|
|
return self.preprocess(nb,resources)
|
|
|
else:
|
|
|
return nb, resources
|
|
|
|
|
|
|
|
|
def preprocess(self, nb, resources):
|
|
|
"""
|
|
|
Preprocessing to apply on each notebook.
|
|
|
|
|
|
Must return modified nb, resources.
|
|
|
|
|
|
If you wish to apply your preprocessing to each cell, you might want
|
|
|
to override preprocess_cell method instead.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
nb : NotebookNode
|
|
|
Notebook being converted
|
|
|
resources : dictionary
|
|
|
Additional resources used in the conversion process. Allows
|
|
|
preprocessors to pass variables into the Jinja engine.
|
|
|
"""
|
|
|
for worksheet in nb.worksheets:
|
|
|
for index, cell in enumerate(worksheet.cells):
|
|
|
worksheet.cells[index], resources = self.preprocess_cell(cell, resources, index)
|
|
|
return nb, resources
|
|
|
|
|
|
|
|
|
def preprocess_cell(self, cell, resources, index):
|
|
|
"""
|
|
|
Override if you want to apply some preprocessing to each cell.
|
|
|
Must return modified cell and resource dictionary.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
cell : NotebookNode cell
|
|
|
Notebook cell being processed
|
|
|
resources : dictionary
|
|
|
Additional resources used in the conversion process. Allows
|
|
|
preprocessors to pass variables into the Jinja engine.
|
|
|
index : int
|
|
|
Index of the cell being processed
|
|
|
"""
|
|
|
|
|
|
raise NotImplementedError('should be implemented by subclass')
|
|
|
return cell, resources
|
|
|
|
|
|
|
