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import sqlalchemy as sa
from sqlalchemy.dialects.postgresql import TSVECTOR
from sqlalchemy_utils import TSVectorType
from tests import TestCase
class TestTSVector(TestCase):
dns = 'postgres://postgres@localhost/sqlalchemy_utils_test'
def create_models(self):
class User(self.Base):
__tablename__ = 'user'
id = sa.Column(sa.Integer, primary_key=True)
name = sa.Column(sa.Unicode(255))
search_index = sa.Column(
TSVectorType(name, regconfig='pg_catalog.finnish')
)
def __repr__(self):
return 'User(%r)' % self.id
self.User = User
def test_generates_table(self):
assert 'search_index' in self.User.__table__.c
def test_type_reflection(self):
reflected_metadata = sa.schema.MetaData()
table = sa.schema.Table(
'user',
reflected_metadata,
autoload=True,
autoload_with=self.engine
)
assert isinstance(table.c['search_index'].type, TSVECTOR)
def test_catalog_and_columns_as_args(self):
type_ = TSVectorType('name', 'age', regconfig='pg_catalog.simple')
assert type_.columns == ('name', 'age')
assert type_.options['regconfig'] == 'pg_catalog.simple'
def test_match(self):
expr = self.User.search_index.match(u'something')
assert str(expr.compile(self.connection)) == (
'''"user".search_index @@ to_tsquery('pg_catalog.finnish', '''
'''%(search_index_1)s)'''
)
def test_concat(self):
assert str(self.User.search_index | self.User.search_index) == (
'"user".search_index || "user".search_index'
)
def test_match_concatenation(self):
concat = self.User.search_index | self.User.search_index
bind = self.session.bind
assert str(concat.match('something').compile(bind)) == (
'("user".search_index || "user".search_index) @@ '
"to_tsquery('pg_catalog.finnish', %(param_1)s)"
)
def test_match_with_catalog(self):
expr = self.User.search_index.match(
u'something',
postgresql_regconfig='pg_catalog.simple'
)
assert str(expr.compile(self.connection)) == (
'''"user".search_index @@ to_tsquery('pg_catalog.simple', '''
'''%(search_index_1)s)'''
)
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