def test_delete_rendering(self):
"""Make sure the cached HTML updates when deleting the current rev."""
unapproved = RevisionFactory(is_approved=False)
d = unapproved.document
approved = ApprovedRevisionFactory(document=d, content='booyah')
assert 'booyah' in d.content_parsed
# Delete the current rev. Since there are no other approved revs, the
# document's HTML should fall back to "".
approved.delete()
eq_('', d.content_parsed)
# Now delete the final revision. It still shouldn't crash.
unapproved.delete()
eq_('', d.content_parsed)
def test_delete_rendering(self):
"""Make sure the cached HTML updates when deleting the current rev."""
unapproved = RevisionFactory(is_approved=False)
d = unapproved.document
approved = ApprovedRevisionFactory(document=d, content='booyah')
assert 'booyah' in d.content_parsed
# Delete the current rev. Since there are no other approved revs, the
# document's HTML should fall back to "".
approved.delete()
eq_('', d.content_parsed)
# Now delete the final revision. It still shouldn't crash.
unapproved.delete()
eq_('', d.content_parsed)
def test_delete(self):
"""Make sure deleting the latest localizable revision doesn't delete
the document but instead sets its latest localizable revision to the
previous one.
Making sure current_revision does the same is covered in the
test_delete_current_revision template test.
"""
r1 = ApprovedRevisionFactory(is_ready_for_localization=True)
d = r1.document
r2 = ApprovedRevisionFactory(document=d, is_ready_for_localization=True)
# Deleting r2 should make the latest fall back to r1:
r2.delete()
eq_(r1, Document.objects.get(pk=d.pk).latest_localizable_revision)
# And deleting r1 should fall back to None:
r1.delete()
eq_(None, Document.objects.get(pk=d.pk).latest_localizable_revision)
def test_delete(self):
"""Make sure deleting the latest localizable revision doesn't delete
the document but instead sets its latest localizable revision to the
previous one.
Making sure current_revision does the same is covered in the
test_delete_current_revision template test.
"""
r1 = ApprovedRevisionFactory(is_ready_for_localization=True)
d = r1.document
r2 = ApprovedRevisionFactory(document=d,
is_ready_for_localization=True)
# Deleting r2 should make the latest fall back to r1:
r2.delete()
eq_(r1, Document.objects.get(pk=d.pk).latest_localizable_revision)
# And deleting r1 should fall back to None:
r1.delete()
eq_(None, Document.objects.get(pk=d.pk).latest_localizable_revision)
def test_update_l10n_metric_cron(self, visitors_by_locale, _get_top_docs):
"""Verify the cron job creates the correct metric."""
l10n_kind = MetricKindFactory(code=L10N_METRIC_CODE)
# Create the en-US document with an approved revision.
doc = DocumentFactory()
rev = ApprovedRevisionFactory(
document=doc,
significance=MEDIUM_SIGNIFICANCE,
is_ready_for_localization=True)
# Create an es translation that is up to date.
es_doc = DocumentFactory(parent=doc, locale='es')
ApprovedRevisionFactory(document=es_doc, based_on=rev)
# Create a de translation without revisions.
DocumentFactory(parent=doc, locale='de')
# 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)
call_command('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.
ApprovedRevisionFactory(
document=doc,
significance=TYPO_SIGNIFICANCE,
is_ready_for_localization=True)
Metric.objects.all().delete()
call_command('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 = ApprovedRevisionFactory(
document=doc,
significance=MEDIUM_SIGNIFICANCE,
is_ready_for_localization=True)
Metric.objects.all().delete()
call_command('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 = ApprovedRevisionFactory(
document=doc,
significance=MEDIUM_SIGNIFICANCE,
is_ready_for_localization=True)
Metric.objects.all().delete()
call_command('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()
ApprovedRevisionFactory(
document=doc,
significance=MAJOR_SIGNIFICANCE,
is_ready_for_localization=True)
Metric.objects.all().delete()
call_command('update_l10n_metric')
metrics = Metric.objects.filter(kind=l10n_kind)
eq_(1, len(metrics))
eq_(50, metrics[0].value)
def test_update_l10n_metric_cron(self, visitors_by_locale, _get_top_docs):
"""Verify the cron job creates the correct metric."""
l10n_kind = MetricKindFactory(code=L10N_METRIC_CODE)
# Create the en-US document with an approved revision.
doc = DocumentFactory()
rev = ApprovedRevisionFactory(document=doc,
significance=MEDIUM_SIGNIFICANCE,
is_ready_for_localization=True)
# Create an es translation that is up to date.
es_doc = DocumentFactory(parent=doc, locale='es')
ApprovedRevisionFactory(document=es_doc, based_on=rev)
# Create a de translation without revisions.
DocumentFactory(parent=doc, locale='de')
# 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)
call_command('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.
ApprovedRevisionFactory(document=doc,
significance=TYPO_SIGNIFICANCE,
is_ready_for_localization=True)
Metric.objects.all().delete()
call_command('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 = ApprovedRevisionFactory(document=doc,
significance=MEDIUM_SIGNIFICANCE,
is_ready_for_localization=True)
Metric.objects.all().delete()
call_command('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 = ApprovedRevisionFactory(document=doc,
significance=MEDIUM_SIGNIFICANCE,
is_ready_for_localization=True)
Metric.objects.all().delete()
call_command('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()
ApprovedRevisionFactory(document=doc,
significance=MAJOR_SIGNIFICANCE,
is_ready_for_localization=True)
Metric.objects.all().delete()
call_command('update_l10n_metric')
metrics = Metric.objects.filter(kind=l10n_kind)
eq_(1, len(metrics))
eq_(50, metrics[0].value)
