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populate NbConvertApp.classes from exporters, writers, transformers
populate NbConvertApp.classes from exporters, writers, transformers

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convertfigures.py
79 lines | 3.0 KiB | text/x-python | PythonLexer
Jonathan Frederic
Added writers and supporting code.
r11367 """Module containing a transformer that converts outputs in the notebook from
one format to another.
"""
#-----------------------------------------------------------------------------
# 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
#-----------------------------------------------------------------------------
MinRK
s/ConfigurableTransformer/Transformer/
r11452 from .base import Transformer
Jonathan Frederic
To and from formats are now configurable
r11391 from IPython.utils.traitlets import Unicode
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Added writers and supporting code.
r11367
#-----------------------------------------------------------------------------
# Classes
#-----------------------------------------------------------------------------
MinRK
s/ConfigurableTransformer/Transformer/
r11452 class ConvertFiguresTransformer(Transformer):
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Added writers and supporting code.
r11367 """
Converts all of the outputs in a notebook from one format to another.
"""
Jonathan Frederic
To and from formats are now configurable
r11391 from_format = Unicode(config=True, help='Format the converter accepts')
to_format = Unicode(config=True, help='Format the converter writes')
Jonathan Frederic
Added writers and supporting code.
r11367
Jonathan Frederic
To and from formats are now configurable
r11391 def __init__(self, **kw):
Jonathan Frederic
Added writers and supporting code.
r11367 """
Public constructor
"""
super(ConvertFiguresTransformer, self).__init__(**kw)
def convert_figure(self, data_format, data):
raise NotImplementedError()
def transform_cell(self, cell, resources, cell_index):
"""
Apply a transformation on each cell,
See base.py
"""
#Loop through all of the datatypes of the outputs in the cell.
for index, cell_out in enumerate(cell.get('outputs', [])):
for data_type, data in cell_out.items():
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r11392
#Get the name of the file exported by the extract figure
#transformer. Do not try to convert the figure if the extract
#fig transformer hasn't touched it
filename = cell_out.get(data_type + '_filename', None)
if filename:
figure_name = filename[:filename.rfind('.')]
self._convert_figure(cell_out, figure_name, resources, data_type, data)
Jonathan Frederic
Added writers and supporting code.
r11367 return cell, resources
Jonathan Frederic
Convert figure transformer now acts on resources from...
r11392 def _convert_figure(self, cell_out, resources, figure_name, data_type, data):
Jonathan Frederic
Added writers and supporting code.
r11367 """
Convert a figure and output the results to the cell output
"""
Jonathan Frederic
Convert figure transformer now acts on resources from...
r11392 if not self.to_format in cell_out:
if data_type == self.from_format:
filename = figure_name + '.' + self.to_format
if filename not in resources['figures']:
#On the cell, make the figure available via
# cell.outputs[i].pdf_filename ... etc (PDF in example)
cell_out[self.to_format + '_filename'] = filename
#In the resources, make the figure available via
# resources['figures']['filename'] = data
resources['figures'][filename] = self.convert_figure(data_type, data)