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"""starting point for IPython Notebook to Restructured Text | |
using pandoc in various places | |
""" | |
import os,sys,shutil | |
import glob | |
import tempfile | |
import base64 | |
from binascii import hexlify | |
from hashlib import md5 | |
from IPython.nbformat import current | |
from IPython.utils.process import find_cmd, getoutput | |
def pandocify(src, lang): | |
"""use pandoc to convert various things to rst""" | |
with tempfile.NamedTemporaryFile(delete=False) as f: | |
f.write(src) | |
fname = f.name | |
pandoc = find_cmd('pandoc') | |
cmd = "%s -r %s -w rst '%s'" % (pandoc, lang, fname) | |
try: | |
rst = getoutput(cmd) | |
return rst | |
finally: | |
os.unlink(fname) | |
md2rst = lambda s: pandocify(s, 'markdown') | |
latex2rst = lambda s: pandocify(s, 'latex') | |
html2rst = lambda s: pandocify(s, 'html') | |
def input2rst(code): | |
lines = [".. sourcecode:: python", ''] | |
for line in code.splitlines(): | |
lines.append(' '*4 + line) | |
lines.append('') | |
return '\n'.join(lines) | |
def stream2rst(text): | |
lines = ['::', ''] | |
for line in text.splitlines(): | |
lines.append(' '*4 + line) | |
lines.append('') | |
return '\n'.join(lines) | |
# these are identical: | |
txt2rst = stream2rst | |
def image2rst(data, ext): | |
name = 'image_%s.%s' % (md5(data).hexdigest()[:7], ext) | |
mode = 'wb' | |
with open(name, mode) as f: | |
f.write(data) | |
return ".. image:: %s" % name | |
def png2rst(png): | |
bdata = base64.decodestring(png) | |
return image2rst(bdata, 'png') | |
def svg2rst(svg): | |
return image2rst(svg.encode('utf8'), 'svg') | |
def codecell2rst(cell): | |
blobs = [input2rst(cell.input)] | |
streams = [] | |
outblobs = [] | |
for output in cell.outputs: | |
if output.output_type == 'stream': | |
streams.append(output.text) | |
else: | |
if 'png' in output: | |
outblobs.append(png2rst(output.png)) | |
elif 'svg' in output: | |
outblobs.append(svg2rst(output.svg)) | |
elif 'latex' in output: | |
outblobs.append(latex2rst(output.latex)) | |
elif 'html' in output: | |
outblobs.append(html2rst(output.html)) | |
elif 'text' in output and output.text: | |
outblobs.append(txt2rst(output.text)) | |
if streams: | |
blobs.append(stream2rst(''.join(streams))) | |
blobs.extend(outblobs) | |
return '\n'.join(blobs) | |
def nb2rst(nb): | |
name = nb.metadata.get('name', 'IPython Notebook') | |
header = '\n'.join(['='*len(name), name, '='*len(name)]) | |
blobs = [header] | |
for ws in nb.worksheets: | |
for cell in ws.cells: | |
cell_type = cell.cell_type | |
if cell_type == 'markdown': | |
blobs.append(md2rst(cell.source)) | |
elif cell_type == 'code': | |
blobs.append(codecell2rst(cell)) | |
else: | |
print "warning: unhandled cell type: ", cell_type | |
return '\n\n'.join(blobs) | |
if __name__ == '__main__': | |
fname = sys.argv[1] | |
with open(fname) as f: | |
nb = current.read(f, 'json') | |
s = nb2rst(nb) | |
with open(fname.replace('.ipynb', '.rst'), 'w') as f: | |
f.write(s) | |
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