def export(nb_path, filtering=True, filter_type="html"):
"""Exports notebook to PDF"""
convert(nb_path, filtering=filtering, filter_type=filter_type)
# create and display output HTML
out_html = """
<p>Your file has been exported. Download it
<a href="{}" target="_blank">here</a>!
""".format(nb_path[:-5] + "pdf")
display(HTML(out_html))
def export(nb_path, filtering=True, filter_type="html"):
"""Exports notebook to PDF
FILTER_TYPE can be "html" or "tags" if filtering by HTML comments or cell tags,
respectively.
Args:
nb_path (str): Path to iPython notebook we want to export
filtering (bool, optional): Set true if only exporting a subset of nb cells to PDF
filter_type (str, optional): "html" or "tags" if filtering by HTML comments or cell
tags, respectively.
"""
convert(nb_path, filtering=filtering, filter_type=filter_type)
# create and display output HTML
out_html = """
<p>Your file has been exported. Download it
<a href="{}" target="_blank">here</a>!
""".format(nb_path[:-5] + "pdf")
display(HTML(out_html))
def grade(ipynb_path, pdf, tag_filter, html_filter, script):
# get path of notebook file
base_path = os.path.dirname(ipynb_path)
# glob tests
test_files = glob('/home/tests/*.py')
# get score
result = grade_notebook(ipynb_path,
test_files,
script=script,
ignore_errors=True)
# output PDF
if pdf:
nb2pdf.convert(ipynb_path)
elif tag_filter:
nb2pdf.convert(ipynb_path, filtering=True, filter_type="tags")
elif html_filter:
nb2pdf.convert(ipynb_path, filtering=True, filter_type="html")
return result
def grade(ipynb_path, pdf, tag_filter, html_filter, script):
"""
Grades a single ipython notebook and returns the score
If no PDF is needed, set the pdf, tag_filter, and html_filter parameters to false. For .py
files, set script to true.
Args:
ipynb_path (str): path to the ipython notebook
pdf (bool): set true if no filtering needed to generate pdf
tag_filter (bool): whether cells should be filtered by tag
html_filter (bool): whether cells should be filtered by comments
script (bool): whether the input file is a python script
Returns:
dict: a score mapping with values for each test, student score, and total points possible
"""
# get path of notebook file
base_path = os.path.dirname(ipynb_path)
# glob tests
test_files = glob('/home/tests/*.py')
# get score
result = grade_notebook(ipynb_path,
test_files,
script=script,
ignore_errors=True)
# output PDF
if pdf:
nb2pdf.convert(ipynb_path)
elif tag_filter:
nb2pdf.convert(ipynb_path, filtering=True, filter_type="tags")
elif html_filter:
nb2pdf.convert(ipynb_path, filtering=True, filter_type="html")
return result
def test_pdf_exists(self): convert(self._file) self.assertTrue(os.path.exists(self._output_path) and \ os.path.isfile(self._output_path))