def evaluate_for_localized(self, runner, run, context, text, localized_test):
localized_test, errors = runner.substitute_variables(localized_test, context)
# tokenize our test
tests = tokenize(localized_test.lower())
# tokenize our input
words = tokenize(text.lower())
raw_words = tokenize(text)
# run through each of our tests
matches = set()
matched_tests = 0
for test in tests:
matched = self.find_matches(matches, test, words, raw_words)
if matched:
matched_tests += 1
# we are a match only if every test matches
if matched_tests == len(tests):
matches = sorted(list(matches))
matched_words = " ".join([raw_words[idx] for idx in matches])
return Test.Result.match(matched_words)
else:
return Test.Result.NO_MATCH
def find_and_handle(cls, msg):
words = tokenize(msg.text)
# skip if message doesn't have any words
if not words:
return False
# skip if message contact is currently active in a flow
active_run_qs = FlowRun.objects.filter(is_active=True,
contact=msg.contact,
flow__is_active=True,
flow__is_archived=False)
active_run = active_run_qs.prefetch_related('steps').order_by(
"-created_on", "-pk").first()
if active_run and active_run.flow.ignore_triggers and not active_run.is_completed(
):
return False
# find a matching keyword trigger with an active flow
trigger = Trigger.objects.filter(org=msg.org,
is_archived=False,
is_active=True,
trigger_type=cls.TYPE_KEYWORD,
flow__is_archived=False,
flow__is_active=True)
# if message text is only one word, then we can match 'only-word' triggers too
match_types = (cls.MATCH_FIRST_WORD,
cls.MATCH_ONLY_WORD) if len(words) == 1 else (
cls.MATCH_FIRST_WORD, )
trigger = trigger.filter(keyword__iexact=words[0],
match_type__in=match_types)
# trigger needs to match the contact's groups or be non-group specific
trigger = trigger.filter(
Q(groups__in=msg.contact.user_groups.all()) | Q(groups=None))
trigger = trigger.prefetch_related(
'groups', 'groups__contacts').order_by('groups__name').first()
# if no trigger for contact groups find there is a no group trigger
if not trigger:
return False
contact = msg.contact
if not contact.is_test:
trigger.last_triggered = msg.created_on
trigger.trigger_count += 1
trigger.save()
contact.ensure_unstopped()
# if we have an associated flow, start this contact in it
trigger.flow.start([], [contact],
start_msg=msg,
restart_participants=True)
return True
def __get_words(text, by_spaces):
"""
Helper function which splits the given text string into words. If by_spaces is false, then text like
'01-02-2014' will be split into 3 separate words. For backwards compatibility, this is the default for all
expression functions.
:param text: the text to split
:param by_spaces: whether words should be split only by spaces or by punctuation like '-', '.' etc
"""
if by_spaces:
splits = regex.split(r"\s+", text, flags=regex.MULTILINE | regex.UNICODE | regex.V0)
return [split for split in splits if split] # return only non-empty
else:
return tokenize(text)
def evaluate_for_localized(self, runner, run, context, text, localized_test):
localized_test, errors = runner.substitute_variables(localized_test, context)
# tokenize our test
tests = tokenize(localized_test.lower())
# tokenize our input
words = tokenize(text.lower())
raw_words = tokenize(text)
# run through each of our tests
matches = []
for test in tests:
match = self.test_in_words(test, words, raw_words)
if match:
matches.append(match)
# we are a match if at least one test matches
if len(matches) > 0:
return Test.Result.match(" ".join(matches))
else:
return Test.Result.NO_MATCH
def __get_words(text, by_spaces):
"""
Helper function which splits the given text string into words. If by_spaces is false, then text like
'01-02-2014' will be split into 3 separate words. For backwards compatibility, this is the default for all
expression functions.
:param text: the text to split
:param by_spaces: whether words should be split only by spaces or by punctuation like '-', '.' etc
"""
if by_spaces:
splits = regex.split(r'\s+',
text,
flags=regex.MULTILINE | regex.UNICODE | regex.V0)
return [split for split in splits if split] # return only non-empty
else:
return tokenize(text)
def find_and_handle(cls, msg):
words = tokenize(msg.text)
# skip if message doesn't have any words
if not words:
return False
# skip if message contact is currently active in a flow
active_run_qs = FlowRun.objects.filter(
is_active=True, contact=msg.contact, flow__is_active=True, flow__is_archived=False
)
active_run = active_run_qs.order_by("-created_on", "-pk").first()
if active_run and active_run.flow.ignore_triggers and not active_run.is_completed():
return False
# find a matching keyword trigger with an active flow
trigger = Trigger.objects.filter(
org=msg.org,
is_archived=False,
is_active=True,
trigger_type=cls.TYPE_KEYWORD,
flow__is_archived=False,
flow__is_active=True,
)
# if message text is only one word, then we can match 'only-word' triggers too
match_types = (cls.MATCH_FIRST_WORD, cls.MATCH_ONLY_WORD) if len(words) == 1 else (cls.MATCH_FIRST_WORD,)
trigger = trigger.filter(keyword__iexact=words[0], match_type__in=match_types)
# trigger needs to match the contact's groups or be non-group specific
trigger = trigger.filter(Q(groups__in=msg.contact.user_groups.all()) | Q(groups=None))
trigger = trigger.prefetch_related("groups", "groups__contacts").order_by("groups__name").first()
# if no trigger for contact groups find there is a no group trigger
if not trigger:
return False
contact = msg.contact
contact.ensure_unstopped()
# if we have an associated flow, start this contact in it
trigger.flow.start([], [contact], start_msg=msg, restart_participants=True)
return True