def test_no_usage(self):
'''Test getting usage histograms when there is no usage'''
from metrics import get_usage_histograms
# Expected histogram (for all)
expected = {year: 0 for year in range(1996, current_year + 1)}
# Get the reads histograms
hist = get_usage_histograms(testset)
# and check the results
histograms = ['all reads', 'refereed reads',
'all reads normalized', 'refereed reads normalized']
for histogram in histograms:
self.assertEqual(hist[histogram], expected)
# and do the same for downloads
hist = get_usage_histograms(testset, usage_type='downloads')
histograms = ['all downloads',
'refereed downloads',
'all downloads normalized',
'refereed downloads normalized']
for histogram in histograms:
self.assertEqual(hist[histogram], expected)
def test_usage_histograms(self):
'''Test getting the usage histograms'''
from metrics import get_usage_histograms
# First get the 'reads' histograms
hist = get_usage_histograms(testset)
# Every entry in the histogram for all papers should, by design,
# equal the number of papers in the test set, from 1996 up to the
# current year
current_year = datetime.now().year
expected = dict([(year,
expected_results['basic stats']['number of papers'])
for year in range(1996, current_year + 1)])
self.assertEqual(hist['all reads'], expected)
# and for the same reason, every entry in the histogram for refereed
# papers should equal the number of refereed papers
expected = dict([
(year,
expected_results['basic stats refereed']['number of papers'])
for year in range(1996, current_year + 1)
])
self.assertEqual(hist['refereed reads'], expected)
# For the normalized histograms, each entry should equal the normalized
# paper count. Because we're dealing with a dictionary of floats, we do
# things slightly differently:
# Check that all entries are equal
self.assertEqual(len(set(hist['all reads normalized'].values())), 1)
# and then check that one entry has the expected value
self.assertAlmostEqual(
hist['all reads normalized'].values()[0],
expected_results['basic stats']['normalized paper count'])
# Because the downloads have been constructed in the same way,
# we only need to verify that the downloads histograms are the
# same as the reads ones
dhist = get_usage_histograms(testset, usage_type='downloads')
self.assertEqual(hist['all reads'], dhist['all downloads'])
self.assertEqual(hist['refereed reads'], dhist['refereed downloads'])
self.assertEqual(hist['all reads normalized'],
dhist['all downloads normalized'])
self.assertEqual(hist['refereed reads normalized'],
dhist['refereed downloads normalized'])
def test_usage_histograms(self):
'''Test getting the usage histograms'''
from metrics import get_usage_histograms
# First get the 'reads' histograms
hist = get_usage_histograms(testset)
# Every entry in the histogram for all papers should, by design,
# equal the number of papers in the test set, from 1996 up to the
# current year
current_year = datetime.now().year
expected = dict([(year, expected_results['basic stats'][
'number of papers']) for year in
range(1996, current_year + 1)])
self.assertEqual(hist['all reads'], expected)
# and for the same reason, every entry in the histogram for refereed
# papers should equal the number of refereed papers
expected = dict([(year, expected_results['basic stats refereed'][
'number of papers']) for year in
range(1996, current_year + 1)])
self.assertEqual(hist['refereed reads'], expected)
# For the normalized histograms, each entry should equal the normalized
# paper count. Because we're dealing with a dictionary of floats, we do
# things slightly differently:
# Check that all entries are equal
self.assertEqual(len(set(hist['all reads normalized'].values())), 1)
# and then check that one entry has the expected value
self.assertAlmostEqual(hist['all reads normalized'].values()[0],
expected_results['basic stats'][
'normalized paper count'])
# Because the downloads have been constructed in the same way,
# we only need to verify that the downloads histograms are the
# same as the reads ones
dhist = get_usage_histograms(testset, usage_type='downloads')
self.assertEqual(hist['all reads'], dhist['all downloads'])
self.assertEqual(hist['refereed reads'], dhist['refereed downloads'])
self.assertEqual(
hist['all reads normalized'],
dhist['all downloads normalized'])
self.assertEqual(
hist['refereed reads normalized'],
dhist['refereed downloads normalized'])
def test_no_usage(self):
'''Test getting usage histograms when there is no usage'''
from metrics import get_usage_histograms
# Expected histogram (for all)
expected = {year: 0 for year in range(1996, current_year + 1)}
# Get the reads histograms
hist = get_usage_histograms(testset)
# and check the results
histograms = [
'all reads', 'refereed reads', 'all reads normalized',
'refereed reads normalized'
]
for histogram in histograms:
self.assertEqual(hist[histogram], expected)
# and do the same for downloads
hist = get_usage_histograms(testset, usage_type='downloads')
histograms = [
'all downloads', 'refereed downloads', 'all downloads normalized',
'refereed downloads normalized'
]
for histogram in histograms:
self.assertEqual(hist[histogram], expected)
