def test_stop_word_in_object(self):
"""Check that the verified marker interface is removed
It should be removed if the stop words are found on the object's text.
"""
alsoProvides(self.doc, IStopWordsVerified)
self.doc.reindexObject()
catalog = api.portal.get_tool('portal_catalog')
brain = catalog(id=self.doc.id)[0]
verify_brain(brain, new_entries='random')
self.assertFalse(IStopWordsVerified.providedBy(self.doc))
self.assertTrue(IHasStopWords.providedBy(self.doc))
def test_object_without_verified_marker_interface(self):
"""Corner case: the object does not have the verified marker interface
It should add the stop words marker interface without raising any
exception.
"""
self.assertFalse(IStopWordsVerified.providedBy(self.doc))
self.assertFalse(IHasStopWords.providedBy(self.doc))
catalog = api.portal.get_tool('portal_catalog')
brain = catalog(id=self.doc.id)[0]
verify_brain(brain, new_entries='random')
self.assertFalse(IStopWordsVerified.providedBy(self.doc))
self.assertTrue(IHasStopWords.providedBy(self.doc))
def test_no_brain(self):
"""Corner case: verify_brain does not get a brain but something else
It should return silently.
"""
self.assertIsNone(
verify_brain(self.doc, new_entries='random')
)
def test_none_entries(self):
"""Corner case: verify_brain gets None as new entries
It should return silently.
"""
catalog = api.portal.get_tool('portal_catalog')
brain = catalog(id=self.doc.id)[0]
self.assertIsNone(
verify_brain(brain, new_entries=None)
)
def review_verified_objects(settings, event):
"""Get the new entries on settings and apply them on verified objects"""
new_entries = get_new_entries(event.oldValue, event.newValue)
# if there's nothing new, we are done
if not new_entries:
return
new_entries = '\n'.join(new_entries)
catalog = api.portal.get_tool('portal_catalog')
brains = catalog(object_provides=IStopWordsVerified.__identifier__)
if not ASYNC:
for brain in brains:
verify_brain(brain, new_entries)
else:
# split the work to review the verified objects for new stop words in
# batches
batch = 1
amount = 300
count = len(brains)
while count > 0:
view_path = '/{0}/@@review-objects'.format(
api.portal.get().id
)
params = {
'start': amount * batch - amount,
'size': amount,
'entries': new_entries,
}
logger.warn('Queued request {0} {1}'.format(view_path, params))
taskqueue.add(
view_path,
params=params
)
batch += 1
count -= amount
def __call__(self):
start, size, entries = self._check_parameters()
catalog = api.portal.get_tool("portal_catalog")
query = {"sort_on": "effective"}
# get the marker interface, if any, to filter objects
provides = self.request.get("type", None)
if provides:
query["object_provides"] = provides
else:
query["object_provides"] = IStopWordsVerified.__identifier__
# get the workflow states, if any, to filter objects
states = self.request.get("states", None)
if states:
query["review_state"] = states.split(",")
brains = catalog(query)
for brain in brains[start : start + size]:
verify_brain(brain, entries)