def test_import_hw_monthly_stats(self):
self.assertEqual(0, models.Article.objects.count())
day_to_import = datetime(year=2015, month=8, day=11)
logic.import_hw_metrics('monthly', from_date=day_to_import, to_date=day_to_import)
# 2015-11-20, HW stats can't be trusted. I don't know why there are suddenly fewer
# articles on this day now that we have more data...
#expected_article_count = 1631
#expected_article_count = 1603
# 2016-02-16: aaaaand we're back to 1631
expected_article_count = 1631
self.assertEqual(expected_article_count, models.Article.objects.count())
doi = '10.7554/eLife.02993'
expected_data = {
'abstract': 2,
'date': '2015-08',
'full': 26,
'pdf': 18,
'period': 'month',
}
metric = models.Metric.objects.get(article__doi=doi, period='month', date='2015-08')
for attr, val in expected_data.items():
self.assertEqual(expected_data[attr], getattr(metric, attr))
def test_import_hw_daily_stats(self):
self.assertEqual(0, models.Article.objects.count())
day_to_import = datetime(year=2015, month=8, day=11)
logic.import_hw_metrics('daily', from_date=day_to_import, to_date=day_to_import)
# 2015-11-20, new article present after supporting multiple datasets in elife-hw-metrics
#expected_article_count = 11
expected_article_count = 12
self.assertEqual(expected_article_count, models.Article.objects.count())
doi = '10.7554/eLife.02993'
expected_data = {
'abstract': 0,
'date': '2015-08-11',
'full': 1,
'pdf': 2,
'period': 'day',
}
metric = models.Metric.objects.get(article__doi=doi, period='day', date='2015-08-11')
for attr, val in expected_data.items():
self.assertEqual(expected_data[attr], getattr(metric, attr))
def test_mixed_source_data(self):
"data from multiple sources is served up correctly"
from_date = datetime(year=2015, month=9, day=11)
to_date = from_date + timedelta(days=1)
logic.import_ga_metrics('daily', from_date, to_date)
logic.import_hw_metrics('daily', from_date, to_date)
doi = '10.7554/eLife.09560'
# hack.
yesterday = ymd(datetime.now() - timedelta(days=1))
day_before = ymd(datetime.now() - timedelta(days=2))
m1, m2 = models.Metric.objects.filter(article__doi=doi, source=models.GA)
m1.date = day_before
m2.date = yesterday
m1.save()
m2.save()
m1, m2 = models.Metric.objects.filter(article__doi=doi, source=models.HW)
m1.date = day_before
m2.date = yesterday
m1.save()
m2.save()
expected_data = {
models.GA: {
doi: {
'daily': OrderedDict([
(day_before, {
'full': 21922,
'abstract': 325,
'digest': 114,
'pdf': 1533,
}),
(yesterday, {
'full': 9528,
'abstract': 110,
'digest': 42,
'pdf': 489,
})
]),
'monthly': OrderedDict({}),
},
},
models.HW: {
doi: {
'daily': OrderedDict([
(day_before, {
'full': 39912,
'abstract': 540,
'digest': 0,
'pdf': 4226,
}),
(yesterday, {
'full': 15800,
'abstract': 144,
'digest': 0,
'pdf': 1132,
}),
]),
'monthly': OrderedDict({}),
},
},
}
url = reverse('api-article-metrics-mixed-source', kwargs={'doi': doi})
resp = self.c.get(url)
self.assertEqual(200, resp.status_code)
self.assertEqual(expected_data, resp.data)