def _create_criterion(original_value: str,
value: str) -> criteria.BaseCriterion:
if ',' in value:
return criteria.ArrayCriterion(original_value, value.split(','))
if '..' in value:
low, high = value.split('..', 1)
if not low and not high:
raise errors.SearchError('Empty ranged value')
return criteria.RangedCriterion(original_value, low, high)
return criteria.PlainCriterion(original_value, value)
def _create_criterion(original_value: str,
value: str) -> criteria.BaseCriterion:
if re.search(r'(?<!\\),', value):
values = re.split(r'(?<!\\),', value)
if any(not term.strip() for term in values):
raise errors.SearchError('Empty compound value')
return criteria.ArrayCriterion(original_value, values)
if re.search(r'(?<!\\)\.(?<!\\)\.', value):
low, high = re.split(r'(?<!\\)\.(?<!\\)\.', value, 1)
if not low and not high:
raise errors.SearchError('Empty ranged value')
return criteria.RangedCriterion(original_value, low, high)
return criteria.PlainCriterion(original_value, value)
def _create_criterion(original_value: str,
value: str) -> criteria.BaseCriterion:
if re.search(r"(?<!\\),", value):
values = re.split(r"(?<!\\),", value)
if any(not term.strip() for term in values):
raise errors.SearchError("Empty compound value")
return criteria.ArrayCriterion(original_value, values)
if re.search(r"(?<!\\)\.(?<!\\)\.", value):
low, high = re.split(r"(?<!\\)\.(?<!\\)\.", value, 1)
if not low and not high:
raise errors.SearchError("Empty ranged value")
return criteria.RangedCriterion(original_value, low, high)
if value.lower() in ["null", "none", "unknown", "?"]:
return criteria.NullCriterion(original_value)
return criteria.PlainCriterion(original_value, value)
def on_search_query_parsed(self, search_query: SearchQuery) -> SaQuery:
new_special_tokens = []
for token in search_query.special_tokens:
if token.value in ('fav', 'liked', 'disliked'):
assert self.user
if self.user.rank == 'anonymous':
raise errors.SearchError('이 기능을 사용하기 위해서는 로그인해야 합니다.')
criterion = criteria.PlainCriterion(
original_text=self.user.name, value=self.user.name)
setattr(criterion, 'internal', True)
search_query.named_tokens.append(
tokens.NamedToken(name=token.value,
criterion=criterion,
negated=token.negated))
else:
new_special_tokens.append(token)
search_query.special_tokens = new_special_tokens
def on_search_query_parsed(self, search_query: SearchQuery) -> SaQuery:
new_special_tokens = []
for token in search_query.special_tokens:
if token.value in ("fav", "liked", "disliked"):
assert self.user
if self.user.rank == "anonymous":
raise errors.SearchError(
"Must be logged in to use this feature.")
criterion = criteria.PlainCriterion(
original_text=self.user.name, value=self.user.name)
setattr(criterion, "internal", True)
search_query.named_tokens.append(
tokens.NamedToken(
name=token.value,
criterion=criterion,
negated=token.negated,
))
else:
new_special_tokens.append(token)
search_query.special_tokens = new_special_tokens