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test_notebooks.py
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test_notebooks.py
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#
# Jupyter notebook testing logic adapted from
# https://gist.github.com/lheagy/f216db7220713329eb3fc1c2cd3c7826
#
# The MIT License (MIT)
#
# Copyright (c) 2016 Lindsey Heagy
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
# Raw
import unittest
import sys
import os
import subprocess
try:
import jupyter
jupyter_available = True
except:
jupyter_available = False
try:
import pandas
pandas_available = True
except:
pandas_available = False
try:
import networkx
networkx_available = True
except:
networkx_available = False
timeout=120
requires_pandas = set(['max_flow_interdict', 'min_cost_flow_interdict', 'multi_commodity_flow_interdict', 'sp_interdict', 'min_cost_flow', 'mst'])
requires_networkx = set(['mst'])
# Testing for the notebooks - use nbconvert to execute all cells of the
# notebook
# For testing on TravisCI, be sure to include a requirements.txt that
# includes jupyter so that you run on the most up-to-date version.
# Where are the notebooks?
TESTDIR = os.path.dirname(os.path.abspath(__file__))
#NBDIR = os.path.sep.join(TESTDIR.split(os.path.sep)[:-2] + ['notebooks/']) # where are the notebooks?
def setUp():
nbpaths = [] # list of notebooks, with file paths
nbnames = [] # list of notebook names (for making the tests)
print(TESTDIR)
# walk the test directory and find all notebooks
for dirname, dirnames, filenames in os.walk(TESTDIR):
for filename in filenames:
if filename.endswith('.ipynb') and not filename.endswith('-checkpoint.ipynb'):
nbpaths.append(os.path.abspath(dirname) + os.path.sep + filename) # get abspath of notebook
nbnames.append(''.join(filename[:-6])) # strip off the file extension
return nbpaths, nbnames
def get(nbname, nbpath):
# use nbconvert to execute the notebook
def test_func(self):
print('\n--------------- Testing {0} ---------------'.format(nbname))
print(' {0}'.format(nbpath))
if not jupyter_available:
self.skipTest("Jupyter unavailable")
if nbname in requires_pandas and not pandas_available:
self.skipTest("Pandas unavailable")
if nbname in requires_networkx and not networkx_available:
self.skipTest("Networkx unavailable")
# execute the notebook using nbconvert to generate html
dir_=os.path.dirname(nbpath)
os.chdir(dir_)
nbexe = subprocess.Popen(
[ 'jupyter', 'nbconvert', '{0}'.format(nbpath),
'--execute',
'--inplace',
'--ExecutePreprocessor.kernel_name=python%s' % (
{2:"",3:"3"}[sys.version_info[0]], ),
'--ExecutePreprocessor.timeout='+str(timeout)],
stdin=subprocess.PIPE, stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
output, err = nbexe.communicate()
check = nbexe.returncode
if check == 0:
print('\n ..... {0} Passed ..... \n'.format(nbname))
# if passed remove the generated html file
#subprocess.call(['rm', '{0}.html'.format( os.path.sep.join(os.getcwd().split(os.path.sep) + [nbpath.split(os.path.sep)[-1][:-6]]))])
else:
print('\n <<<<< {0} FAILED >>>>> \n'.format(nbname))
print('Captured Output: \n {0}'.format(err))
self.assertEqual(check, 0)
return test_func
class TestNotebooks(unittest.TestCase):
pass
nbpaths, nbnames = setUp()
# Check for duplicates
tmp = set()
for name in nbnames:
if name in tmp:
raise IOError("ERROR: duplicate test name %s" % name)
tmp.add(name)
# build test for each notebook
for i, nb in enumerate(nbnames):
#print((i,nb,nbpaths[i]))
setattr(TestNotebooks, 'test_'+nb, get(nb, nbpaths[i]))
if __name__ == '__main__':
unittest.main()