def run_notebooks(nb_paths, allow_errors=False, **kwargs):
print(f'>> Running {len(nb_paths)} notebooks...')
nb_paths.sort()
for nb_path in nb_paths:
try:
jupyter_utils.nbconvert(nb_path,
execute=True,
inplace=True,
allow_errors=allow_errors)
except subprocess.CalledProcessError:
error_msg = \
f"Got errors while executing notebook {nb_path}. " \
f"Make sure you've implemented everything and that all " \
f"tests pass."
print(error_msg, file=sys.stderr)
sys.exit(1)
def prepare_submission(hw_dir, out_dir, submitter_ids, skip_run, **kwargs):
"""
Creates a submission zip file students can submit.
This function will run all the notebooks in the assignment, merge them into
a single html file for submission and wrap everything in a zip file.
:param hw_dir: Root directory of the assignment.
:param out_dir: Where to write the zip file to.
:param submitter_ids: list of ID numbers of submitters.
:param skip_run: Whether to skip running the notebooks.
"""
submission_name = create_submission_name(hw_dir, submitter_ids)
nb_paths = glob.glob(os.path.join(hw_dir, '*.ipynb'))
nb_paths.sort()
# 1. Run all notebooks and save outputs within them
if not skip_run:
run_notebooks(nb_paths, **kwargs)
# 2. Run nbnmerge to merge them
nb_merged = os.path.join(hw_dir, f'{submission_name}.ipynb')
jupyter_utils.nbmerge(nb_paths, nb_merged)
# 3. Run nbconvert to convert the merged notebook to html
jupyter_utils.nbconvert(nb_merged)
os.remove(nb_merged)
# 4. Zip the hw folder, excluding 'data' folder and temp files.
dest_dir = os.path.join(out_dir, submission_name)
if os.path.exists(dest_dir):
shutil.rmtree(dest_dir)
try:
def ignore_fn(src, names):
return copytree_ignore_fn(src, names, is_distribution=False)
# Copy assignment directory to a temporary folder
shutil.copytree(hw_dir, dest_dir, symlinks=False, ignore=ignore_fn)
# Create an archive for submission
sub_zip = zipdir(dest_dir)
print(f'>> Created submission {sub_zip}. Good luck!')
finally:
shutil.rmtree(dest_dir)
def run_nb(name):
nb_path = os.path.join(NB_DIR, name)
jupyter_utils.nbconvert(nb_path, execute=True, debug=True, stdout=True)
def clear_notebooks(nb_paths, **kwargs):
print(f'>> Clearing {len(nb_paths)} notebooks...')
nb_paths.sort()
for nb_path in nb_paths:
jupyter_utils.nbconvert(nb_path, clear_output=True)
