def test_exit_survey_results(self):
"""Test the exist survey results API call."""
# Create the metrics
kind = metric_kind(code=EXIT_SURVEY_YES_CODE, save=True)
metric(kind=kind,
start=date.today(),
end=date.today(),
value=1337,
save=True)
kind = metric_kind(code=EXIT_SURVEY_NO_CODE, save=True)
metric(kind=kind,
start=date.today(),
end=date.today(),
value=42,
save=True)
kind = metric_kind(code=EXIT_SURVEY_DONT_KNOW_CODE, save=True)
metric(kind=kind,
start=date.today(),
end=date.today(),
value=777,
save=True)
# Verify the results returned from the API
r = self._get_api_result('api.kpi.exit-survey')
eq_(r['objects'][0]['yes'], 1337)
eq_(r['objects'][0]['no'], 42)
eq_(r['objects'][0]['dont_know'], 777)
def test_update_search_ctr(self, search_ctr):
"""Verify the cron job inserts the right rows."""
clicks_kind = metric_kind(code=SEARCH_CLICKS_METRIC_CODE, save=True)
metric_kind(code=SEARCH_SEARCHES_METRIC_CODE, save=True)
search_ctr.return_value = {'2013-06-06': 42.123456789,
'2013-06-07': 13.7654321,
'2013-06-08': 99.55555}
update_search_ctr_metric()
metrics = Metric.objects.filter(kind=clicks_kind).order_by('start')
eq_(3, len(metrics))
eq_(421, metrics[0].value)
eq_(138, metrics[1].value)
eq_(date(2013, 6, 8), metrics[2].start)
def test_exit_survey_results(self):
"""Test the exist survey results API call."""
# Create the metrics
kind = metric_kind(code=EXIT_SURVEY_YES_CODE, save=True)
metric(kind=kind, start=date.today(), end=date.today(), value=1337, save=True)
kind = metric_kind(code=EXIT_SURVEY_NO_CODE, save=True)
metric(kind=kind, start=date.today(), end=date.today(), value=42, save=True)
kind = metric_kind(code=EXIT_SURVEY_DONT_KNOW_CODE, save=True)
metric(kind=kind, start=date.today(), end=date.today(), value=777, save=True)
# Verify the results returned from the API
r = self._get_api_result("kpi_exit_survey_results")
eq_(r["objects"][0]["yes"], 1337)
eq_(r["objects"][0]["no"], 42)
eq_(r["objects"][0]["dont_know"], 777)
def test_update_search_ctr(self, search_ctr):
"""Verify the cron job inserts the right rows."""
clicks_kind = metric_kind(code=SEARCH_CLICKS_METRIC_CODE, save=True)
metric_kind(code=SEARCH_SEARCHES_METRIC_CODE, save=True)
search_ctr.return_value = {
'2013-06-06': 42.123456789,
'2013-06-07': 13.7654321,
'2013-06-08': 99.55555
}
update_search_ctr_metric()
metrics = Metric.objects.filter(kind=clicks_kind).order_by('start')
eq_(3, len(metrics))
eq_(421, metrics[0].value)
eq_(138, metrics[1].value)
eq_(date(2013, 6, 8), metrics[2].start)
def test_l10n_coverage(self):
"""Test l10n coverage API call."""
# Create the metrics
kind = metric_kind(code=L10N_METRIC_CODE, save=True)
metric(kind=kind, start=date.today(), end=date.today(), value=56, save=True)
# The l10n coverage should be 56%.
r = self._get_api_result("kpi_l10n_coverage")
eq_(r["objects"][0]["coverage"], 56)
def test_visitors(self):
"""Test unique visitors API call."""
# Create the metric.
kind = metric_kind(code=VISITORS_METRIC_CODE, save=True)
metric(kind=kind, start=date.today(), end=date.today(), value=42, save=True)
# There should be 42 visitors.
r = self._get_api_result("kpi_visitors")
eq_(r["objects"][0]["visitors"], 42)
def test_l10n_coverage(self):
"""Test l10n coverage API call."""
# Create the metrics
kind = metric_kind(code=L10N_METRIC_CODE, save=True)
metric(kind=kind, start=date.today(), end=date.today(), value=56,
save=True)
# The l10n coverage should be 56%.
r = self._get_api_result('kpi_l10n_coverage')
eq_(r['objects'][0]['coverage'], 56)
def test_visitors(self):
"""Test unique visitors API call."""
# Create the metric.
kind = metric_kind(code=VISITORS_METRIC_CODE, save=True)
metric(kind=kind, start=date.today(), end=date.today(), value=42,
save=True)
# There should be 42 visitors.
r = self._get_api_result('kpi_visitors')
eq_(r['objects'][0]['visitors'], 42)
def test_process_exit_surveys(self, requests):
"""Verify the metrics inserted by process_exit_surveys cron job."""
requests.get.return_value.content = SURVEY_GIZMO_EXIT_SURVEY_RESPONSE
# Create the kinds.
yes_kind = metric_kind(code=EXIT_SURVEY_YES_CODE, save=True)
no_kind = metric_kind(code=EXIT_SURVEY_NO_CODE, save=True)
dunno_kind = metric_kind(code=EXIT_SURVEY_DONT_KNOW_CODE, save=True)
two_days_back = date.today() - timedelta(days=2)
# Add a metric for 2 days ago so only 1 new day is collected.
metric(kind=yes_kind, start=two_days_back, save=True)
# Collect and process.
_process_exit_survey_results()
# Verify.
eq_(4, Metric.objects.count())
eq_(2, Metric.objects.filter(kind=yes_kind)[1].value)
eq_(1, Metric.objects.get(kind=no_kind).value)
eq_(1, Metric.objects.get(kind=dunno_kind).value)
def test_process_exit_surveys(self, requests):
"""Verify the metrics inserted by process_exit_surveys cron job."""
requests.get.return_value.content = SURVEY_GIZMO_EXIT_SURVEY_RESPONSE
# Create the kinds.
yes_kind = metric_kind(code=EXIT_SURVEY_YES_CODE, save=True)
no_kind = metric_kind(code=EXIT_SURVEY_NO_CODE, save=True)
dunno_kind = metric_kind(code=EXIT_SURVEY_DONT_KNOW_CODE, save=True)
two_days_back = date.today() - timedelta(days=2)
# Add a metric for 2 days ago so only 1 new day is collected.
metric(kind=yes_kind, start=two_days_back, save=True)
# Collect and process.
_process_exit_survey_results()
# Verify.
eq_(4, Metric.objects.count())
eq_(2, Metric.objects.filter(kind=yes_kind)[1].value)
eq_(1, Metric.objects.get(kind=no_kind).value)
eq_(1, Metric.objects.get(kind=dunno_kind).value)
def test_update_visitors_cron(self, visitors):
"""Verify the cron job inserts the right rows."""
visitor_kind = metric_kind(code=VISITORS_METRIC_CODE, save=True)
visitors.return_value = {'2012-01-13': 42,
'2012-01-14': 193,
'2012-01-15': 33}
update_visitors_metric()
metrics = Metric.objects.filter(kind=visitor_kind).order_by('start')
eq_(3, len(metrics))
eq_(42, metrics[0].value)
eq_(193, metrics[1].value)
eq_(date(2012, 01, 15), metrics[2].start)
def test_update_visitors_cron(self, visitors):
"""Verify the cron job inserts the right rows."""
visitor_kind = metric_kind(code=VISITORS_METRIC_CODE, save=True)
visitors.return_value = {
'2012-01-13': 42,
'2012-01-14': 193,
'2012-01-15': 33
}
update_visitors_metric()
metrics = Metric.objects.filter(kind=visitor_kind).order_by('start')
eq_(3, len(metrics))
eq_(42, metrics[0].value)
eq_(193, metrics[1].value)
eq_(date(2012, 01, 15), metrics[2].start)
def test_update_l10n_metric_cron(self, visitors_by_locale, _get_top_docs):
"""Verify the cron job creates the correct metric."""
l10n_kind = metric_kind(code=L10N_METRIC_CODE, save=True)
# Create the en-US document with an approved revision.
doc = document(save=True)
rev = revision(document=doc,
significance=MEDIUM_SIGNIFICANCE,
is_approved=True,
is_ready_for_localization=True,
save=True)
# Create an es translation that is up to date.
es_doc = document(parent=doc, locale='es', save=True)
revision(document=es_doc, is_approved=True, based_on=rev, save=True)
# Create a de translation without revisions.
document(parent=doc, locale='de', save=True)
# Mock some calls.
visitors_by_locale.return_value = {
'en-US': 50,
'de': 20,
'es': 25,
'fr': 5,
}
_get_top_docs.return_value = [doc]
# Run it and verify results.
# Value should be 75% (1/1 * 25/100 + 1/1 * 50/100)
update_l10n_metric()
metrics = Metric.objects.filter(kind=l10n_kind)
eq_(1, len(metrics))
eq_(75, metrics[0].value)
# Create a new revision with TYPO_SIGNIFICANCE. It shouldn't
# affect the results.
revision(document=doc,
significance=TYPO_SIGNIFICANCE,
is_approved=True,
is_ready_for_localization=True,
save=True)
Metric.objects.all().delete()
update_l10n_metric()
metrics = Metric.objects.filter(kind=l10n_kind)
eq_(1, len(metrics))
eq_(75, metrics[0].value)
# Create a new revision with MEDIUM_SIGNIFICANCE. The coverage
# should now be 62% (0.5/1 * 25/100 + 1/1 * 50/100)
m1 = revision(document=doc,
significance=MEDIUM_SIGNIFICANCE,
is_approved=True,
is_ready_for_localization=True,
save=True)
Metric.objects.all().delete()
update_l10n_metric()
metrics = Metric.objects.filter(kind=l10n_kind)
eq_(1, len(metrics))
eq_(62, metrics[0].value)
# And another new revision with MEDIUM_SIGNIFICANCE makes the
# coverage 50% (1/1 * 50/100).
m2 = revision(document=doc,
significance=MEDIUM_SIGNIFICANCE,
is_approved=True,
is_ready_for_localization=True,
save=True)
Metric.objects.all().delete()
update_l10n_metric()
metrics = Metric.objects.filter(kind=l10n_kind)
eq_(1, len(metrics))
eq_(50, metrics[0].value)
# If we remove the two MEDIUM_SIGNIFICANCE revisions and add a
# MAJOR_SIGNIFICANCE revision, the coverage is 50% as well.
m1.delete()
m2.delete()
revision(document=doc,
significance=MAJOR_SIGNIFICANCE,
is_approved=True,
is_ready_for_localization=True,
save=True)
Metric.objects.all().delete()
update_l10n_metric()
metrics = Metric.objects.filter(kind=l10n_kind)
eq_(1, len(metrics))
eq_(50, metrics[0].value)
def _make_elastic_metric_kinds(self):
click_kind = metric_kind(code='search clickthroughs:elastic:clicks',
save=True)
search_kind = metric_kind(code='search clickthroughs:elastic:searches',
save=True)
return click_kind, search_kind
def _make_elastic_metric_kinds(self):
click_kind = metric_kind(code="search clickthroughs:elastic:clicks", save=True)
search_kind = metric_kind(code="search clickthroughs:elastic:searches", save=True)
return click_kind, search_kind
def _make_contributor_metric_kinds(self):
metric_kind(code=AOA_CONTRIBUTORS_METRIC_CODE, save=True)
metric_kind(code=KB_ENUS_CONTRIBUTORS_METRIC_CODE, save=True)
metric_kind(code=KB_L10N_CONTRIBUTORS_METRIC_CODE, save=True)
metric_kind(code=SUPPORT_FORUM_CONTRIBUTORS_METRIC_CODE, save=True)
def test_update_l10n_metric_cron(self, visitors_by_locale, _get_top_docs):
"""Verify the cron job creates the correct metric."""
l10n_kind = metric_kind(code=L10N_METRIC_CODE, save=True)
# Create the en-US document with an approved revision.
doc = document(save=True)
rev = revision(
document=doc,
significance=MEDIUM_SIGNIFICANCE,
is_approved=True,
is_ready_for_localization=True,
save=True)
# Create an es translation that is up to date.
es_doc = document(parent=doc, locale='es', save=True)
revision(
document=es_doc,
is_approved=True,
based_on=rev,
save=True)
# Create a de translation without revisions.
document(parent=doc, locale='de', save=True)
# Mock some calls.
visitors_by_locale.return_value = {
'en-US': 50,
'de': 20,
'es': 25,
'fr': 5,
}
_get_top_docs.return_value = [doc]
# Run it and verify results.
# Value should be 75% (1/1 * 25/100 + 1/1 * 50/100)
update_l10n_metric()
metrics = Metric.objects.filter(kind=l10n_kind)
eq_(1, len(metrics))
eq_(75, metrics[0].value)
# Create a new revision with TYPO_SIGNIFICANCE. It shouldn't
# affect the results.
revision(
document=doc,
significance=TYPO_SIGNIFICANCE,
is_approved=True,
is_ready_for_localization=True,
save=True)
Metric.objects.all().delete()
update_l10n_metric()
metrics = Metric.objects.filter(kind=l10n_kind)
eq_(1, len(metrics))
eq_(75, metrics[0].value)
# Create a new revision with MEDIUM_SIGNIFICANCE. The coverage
# should now be 62% (0.5/1 * 25/100 + 1/1 * 50/100)
m1 = revision(
document=doc,
significance=MEDIUM_SIGNIFICANCE,
is_approved=True,
is_ready_for_localization=True,
save=True)
Metric.objects.all().delete()
update_l10n_metric()
metrics = Metric.objects.filter(kind=l10n_kind)
eq_(1, len(metrics))
eq_(62, metrics[0].value)
# And another new revision with MEDIUM_SIGNIFICANCE makes the
# coverage 50% (1/1 * 50/100).
m2 = revision(
document=doc,
significance=MEDIUM_SIGNIFICANCE,
is_approved=True,
is_ready_for_localization=True,
save=True)
Metric.objects.all().delete()
update_l10n_metric()
metrics = Metric.objects.filter(kind=l10n_kind)
eq_(1, len(metrics))
eq_(50, metrics[0].value)
# If we remove the two MEDIUM_SIGNIFICANCE revisions and add a
# MAJOR_SIGNIFICANCE revision, the coverage is 50% as well.
m1.delete()
m2.delete()
revision(
document=doc,
significance=MAJOR_SIGNIFICANCE,
is_approved=True,
is_ready_for_localization=True,
save=True)
Metric.objects.all().delete()
update_l10n_metric()
metrics = Metric.objects.filter(kind=l10n_kind)
eq_(1, len(metrics))
eq_(50, metrics[0].value)
def _make_contributor_metric_kinds(self):
metric_kind(code=AOA_CONTRIBUTORS_METRIC_CODE, save=True)
metric_kind(code=KB_ENUS_CONTRIBUTORS_METRIC_CODE, save=True)
metric_kind(code=KB_L10N_CONTRIBUTORS_METRIC_CODE, save=True)
metric_kind(code=SUPPORT_FORUM_CONTRIBUTORS_METRIC_CODE, save=True)
