##// END OF EJS Templates
Initial checkin - note that in this state, it's producing an ipython...
Fernando Perez -
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@@ -0,0 +1,186 b''
1 #!/usr/bin/env python
2 """A really simple notebook to rst/html exporter.
3
4 Usage
5
6 ./nb2html.py file.ipynb
7
8 Produces 'file.rst' and 'file.html', along with auto-generated figure files
9 called nb_figure_NN.png.
10
11 """
12
13 import os
14 import subprocess
15 import sys
16
17 from IPython.nbformat import current as nbformat
18 from IPython.utils.text import wrap_paragraphs, indent
19
20
21 # Cell converters
22
23 def unknown_cell(cell):
24 """Default converter for cells of unknown type.
25 """
26
27 return [rst_directive('.. warning:: Unknown cell'),
28 repr(cell)]
29
30 def markdown_cell(cell):
31 """convert a markdown cell to rst
32
33 Returns list."""
34 return [cell.source]
35
36
37 def rst_directive(directive, text):
38 return [directive, '', indent(text), '']
39
40 def code_cell(cell):
41 """Convert a code cell to rst
42
43 Returns list."""
44
45 if not cell.input:
46 return []
47
48 lines = ['In[%s]:' % cell.prompt_number, '']
49 lines.extend(rst_directive('.. code:: python', cell.input))
50
51 for output in cell.outputs:
52 conv = converters[output.output_type]
53 lines.extend(conv(output))
54
55 return lines
56
57 # Converters for parts of a cell.
58 figures_counter = 1
59
60 def out_display(output):
61 """convert display data from the output of a code cell to rst.
62
63 Returns list.
64 """
65 global figures_counter
66
67 lines = []
68
69 if 'png' in output:
70 fname = 'nb_figure_%s.png' % figures_counter
71 with open(fname, 'w') as f:
72 f.write(output.png.decode('base64'))
73
74 figures_counter += 1
75 lines.append('.. image:: %s' % fname)
76 lines.append('')
77
78 return lines
79
80
81 def out_pyout(output):
82 """convert pyout part of a code cell to rst
83
84 Returns list."""
85
86 lines = ['Out[%s]:' % output.prompt_number, '']
87
88 if 'latex' in output:
89 lines.extend(rst_directive('.. math::', output.latex))
90
91 if 'text' in output:
92 lines.extend(rst_directive('.. parsed-literal::', output.text))
93
94 return lines
95
96
97 converters = dict(code = code_cell,
98 markdown = markdown_cell,
99 pyout = out_pyout,
100 display_data = out_display,
101 )
102
103
104
105 def convert_notebook(nb):
106 lines = []
107 for cell in nb.worksheets[0].cells:
108 conv = converters.get(cell.cell_type, unknown_cell)
109 lines.extend(conv(cell))
110 lines.append('')
111
112 return '\n'.join(lines)
113
114
115 def nb2rst(fname):
116 "Convert notebook to rst"
117
118 with open(fname) as f:
119 nb = nbformat.read(f, 'json')
120
121 rst = convert_notebook(nb)
122
123 newfname = os.path.splitext(fname)[0] + '.rst'
124 with open(newfname, 'w') as f:
125 f.write(rst.encode('utf8'))
126
127 return newfname
128
129
130 def rst2simplehtml(fname):
131 """Convert a rst file to simplified html suitable for blogger.
132
133 This just runs rst2html with certain parameters to produce really simple
134 html and strips the document header, so the resulting file can be easily
135 pasted into a blogger edit window.
136 """
137
138 # This is the template for the rst2html call that produces the cleanest,
139 # simplest html I could find. This should help in making it easier to
140 # paste into the blogspot html window, though I'm still having problems
141 # with linebreaks there...
142 cmd_template = ("rst2html --link-stylesheet --no-xml-declaration "
143 "--no-generator --no-datestamp --no-source-link "
144 "--no-toc-backlinks --no-section-numbering "
145 "--strip-comments ")
146
147 cmd = "%s %s" % (cmd_template, fname)
148 proc = subprocess.Popen(cmd,
149 stdout=subprocess.PIPE,
150 stderr=subprocess.PIPE,
151 shell=True)
152 html, stderr = proc.communicate()
153 if stderr:
154 raise IOError(stderr)
155
156 # Make an iterator so breaking out holds state. Our implementation of
157 # searching for the html body below is basically a trivial little state
158 # machine, so we need this.
159 walker = iter(html.splitlines())
160
161 # Find start of main text, break out to then print until we find end /div.
162 # This may only work if there's a real title defined so we get a 'div class'
163 # tag, I haven't really tried.
164 for line in walker:
165 if line.startswith('<div class'):
166 break
167
168 newfname = os.path.splitext(fname)[0] + '.html'
169 with open(newfname, 'w') as f:
170 for line in walker:
171 if line.startswith('</div>'):
172 break
173 f.write(line)
174 f.write('\n')
175
176 return newfname
177
178
179 def main(fname):
180 """Convert a notebook to html in one step"""
181 newfname = nb2rst(fname)
182 rst2simplehtml(newfname)
183
184
185 if __name__ == '__main__':
186 main(sys.argv[1])
@@ -0,0 +1,147 b''
1 {
2 "metadata": {
3 "name": "test"
4 },
5 "nbformat": 3,
6 "worksheets": [
7 {
8 "cells": [
9 {
10 "cell_type": "heading",
11 "level": 1,
12 "source": [
13 "H1"
14 ]
15 },
16 {
17 "cell_type": "heading",
18 "level": 2,
19 "source": [
20 "H2"
21 ]
22 },
23 {
24 "cell_type": "heading",
25 "level": 3,
26 "source": [
27 "H3"
28 ]
29 },
30 {
31 "cell_type": "heading",
32 "level": 4,
33 "source": [
34 "H4"
35 ]
36 },
37 {
38 "cell_type": "heading",
39 "level": 5,
40 "source": [
41 "H5"
42 ]
43 },
44 {
45 "cell_type": "heading",
46 "level": 6,
47 "source": [
48 "H6"
49 ]
50 },
51 {
52 "cell_type": "markdown",
53 "source": [
54 "A section heading",
55 "=================",
56 "",
57 "A bit of text, with *important things*:",
58 "",
59 "* and",
60 "* more",
61 "",
62 "Using reST links to `ipython <http://ipython.org>`_."
63 ]
64 },
65 {
66 "cell_type": "code",
67 "collapsed": false,
68 "input": [
69 "f = figure()",
70 "plot([1])",
71 "display(f)"
72 ],
73 "language": "python",
74 "outputs": [
75 {
76 "output_type": "display_data",
77 "png": 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DoRAlAAAeIhLXzpBTQF/P2VdUVKihoUGlpaVyuVzt1mlpadGdO3d0+/Ztbdq0SdOmTQuO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\nAABLEQAAYCkCAAAs9X/vh7DYicSaVQAAAABJRU5ErkJggg==\n",
78 "text": [
79 "<matplotlib.figure.Figure at 0x28f2750>"
80 ]
81 },
82 {
83 "output_type": "display_data",
84 "png": 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85 }
86 ],
87 "prompt_number": 1
88 },
89 {
90 "cell_type": "code",
91 "collapsed": true,
92 "input": [
93 "# multiline input",
94 "x = 1",
95 "y = 2"
96 ],
97 "language": "python",
98 "outputs": [],
99 "prompt_number": 2
100 },
101 {
102 "cell_type": "code",
103 "collapsed": false,
104 "input": [
105 "1+2"
106 ],
107 "language": "python",
108 "outputs": [
109 {
110 "output_type": "pyout",
111 "prompt_number": 3,
112 "text": [
113 "3"
114 ]
115 }
116 ],
117 "prompt_number": 3
118 },
119 {
120 "cell_type": "code",
121 "collapsed": false,
122 "input": [
123 "print 'hello world'"
124 ],
125 "language": "python",
126 "outputs": [
127 {
128 "output_type": "stream",
129 "stream": "stdout",
130 "text": [
131 "hello world"
132 ]
133 }
134 ],
135 "prompt_number": 4
136 },
137 {
138 "cell_type": "code",
139 "collapsed": true,
140 "input": [],
141 "language": "python",
142 "outputs": []
143 }
144 ]
145 }
146 ]
147 } No newline at end of file
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