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"""Module containing a transformer that extracts all of the figures from the
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notebook file. The extracted figures are returned in the 'resources' dictionary.
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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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import sys
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from IPython.utils.traitlets import Unicode
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from .base import Transformer
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#-----------------------------------------------------------------------------
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# Classes
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#-----------------------------------------------------------------------------
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class ExtractFigureTransformer(Transformer):
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"""
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Extracts all of the figures from the notebook file. The extracted
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figures are returned in the 'resources' dictionary.
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"""
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figure_filename_template = Unicode(
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"{unique_key}_{cell_index}_{index}.{extension}", config=True)
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def transform_cell(self, cell, resources, cell_index):
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"""
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Apply a transformation on each cell,
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Parameters
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----------
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cell : NotebookNode cell
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Notebook cell being processed
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resources : dictionary
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Additional resources used in the conversion process. Allows
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transformers to pass variables into the Jinja engine.
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cell_index : int
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Index of the cell being processed (see base.py)
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"""
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#Get the unique key from the resource dict if it exists. If it does not
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#exist, use 'figure' as the default.
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unique_key = resources.get('unique_key', 'figure')
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#Make sure figures key exists
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if not 'figures' in resources:
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resources['figures'] = {}
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#Loop through all of the outputs in the cell
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for index, out in enumerate(cell.get('outputs', [])):
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#Get the output in data formats that the template is interested in.
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for out_type in self.display_data_priority:
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if out.hasattr(out_type):
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data = out[out_type]
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#Binary files are base64-encoded, SVG is already XML
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if out_type in ('png', 'jpg', 'jpeg', 'pdf'):
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data = data.decode('base64')
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elif sys.platform == 'win32':
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data = data.replace('\n', '\r\n').encode("UTF-8")
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else:
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data = data.encode("UTF-8")
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#Build a figure name
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figure_name = self.figure_filename_template.format(
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unique_key=unique_key,
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cell_index=cell_index,
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index=index,
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extension=out_type)
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#On the cell, make the figure available via
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# cell.outputs[i].svg_filename ... etc (svg in example)
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# Where
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# cell.outputs[i].svg contains the data
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out[out_type + '_filename'] = figure_name
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#In the resources, make the figure available via
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# resources['figures']['filename'] = data
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resources['figures'][figure_name] = data
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return cell, resources
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