malformed_industries = [
ind for ind in parsed_industries if len(ind) not in (3, 5)
]
if malformed_industries:
raise ValueError(
"Arguments not valid industry categories or category orders: %s"
% str(malformed_industries))
orders = [order for order in parsed_industries if len(order) == 3]
cats = [cat for cat in parsed_industries if len(cat) == 5]
return self._add_industry_clauses(query, cats, orders)
_punctuation_to_spaces = dict([(c, ' ') for c in "\"'&|!():*\\"])
_strip_postgres_ft_operators = build_map_substrings(_punctuation_to_spaces)
class FulltextField(Field):
def __init__(self, name, model_fields=None):
super(FulltextField, self).__init__(name)
self.model_fields = model_fields if model_fields else [name]
def apply(self, query, *searches):
ft_searches = [_format_ft_search(s) for s in searches]
exact_searches = [_format_exact_search(s) for s in searches]
where_clause = _search_clause(self.model_fields,
[s is not None for s in exact_searches])
params = dict([('ft_term_%s' % i, ft_searches[i])
"""
A collection of pre-configured normalizers.
Only one demo normalizer for now.
"""
from dcdata.utils.strings.transformers import compose, build_map_substrings, build_remove_substrings, build_remove_suffixes
basic_normalizer = compose(
unicode.lower, build_map_substrings({' and ': '&'}),
build_remove_substrings(" ,.\"\'@+#$(){}[]\\&-/"),
build_remove_suffixes([
'association', 'assoc', 'assn', 'incorporated', 'inc', 'company', 'co',
'corporation', 'corp', 'committee', 'cmte', 'limited', 'ltd'
]))
def apply(self, query, *industries):
parsed_industries = [self._extract_cat_or_order(i) for i in industries]
malformed_industries = [ind for ind in parsed_industries if len(ind) not in (3, 5)]
if malformed_industries:
raise ValueError("Arguments not valid industry categories or category orders: %s" % str(malformed_industries))
orders = [order for order in parsed_industries if len(order)==3]
cats = [cat for cat in parsed_industries if len(cat)==5]
return self._add_industry_clauses(query, cats, orders)
_punctuation_to_spaces = dict([(c, ' ') for c in "\"'&|!():*\\"])
_strip_postgres_ft_operators = build_map_substrings(_punctuation_to_spaces)
class FulltextField(Field):
def __init__(self, name, model_fields=None):
super(FulltextField, self).__init__(name)
self.model_fields = model_fields if model_fields else [name]
def apply(self, query, *searches):
ft_searches = [_format_ft_search(s) for s in searches]
exact_searches = [_format_exact_search(s) for s in searches]
where_clause = _search_clause(self.model_fields, [s is not None for s in exact_searches])
params = dict([('ft_term_%s' % i, ft_searches[i]) for i in range(len(searches))])
params.update(dict([('exact_term_%s' % i, exact_searches[i]) for i in range(len(searches))]))
"""
A collection of pre-configured normalizers.
Only one demo normalizer for now.
"""
from dcdata.utils.strings.transformers import compose, build_map_substrings, build_remove_substrings, build_remove_suffixes
basic_normalizer = compose(unicode.lower,
build_map_substrings({' and ': '&'}),
build_remove_substrings(" ,.\"\'@+#$(){}[]\\&-/"),
build_remove_suffixes(['association', 'assoc', 'assn',
'incorporated', 'inc',
'company', 'co',
'corporation', 'corp',
'committee', 'cmte',
'limited', 'ltd']))