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import sqlalchemy as sa
from sqlalchemy_utils import aggregated, TSVectorType
from tests import TestCase
def tsvector_reduce_concat(vectors):
return sa.sql.expression.cast(
sa.func.coalesce(
sa.func.array_to_string(sa.func.array_agg(vectors), ' ')
),
TSVectorType
)
class TestSearchVectorAggregates(TestCase):
dns = 'postgres://postgres@localhost/sqlalchemy_utils_test'
def create_models(self):
class Catalog(self.Base):
__tablename__ = 'catalog'
id = sa.Column(sa.Integer, primary_key=True)
name = sa.Column(sa.Unicode(255))
@aggregated('products', sa.Column(TSVectorType))
def product_search_vector(self):
return tsvector_reduce_concat(
sa.func.to_tsvector(Product.name)
)
products = sa.orm.relationship('Product', backref='catalog')
class Product(self.Base):
__tablename__ = 'product'
id = sa.Column(sa.Integer, primary_key=True)
name = sa.Column(sa.Unicode(255))
price = sa.Column(sa.Numeric)
catalog_id = sa.Column(sa.Integer, sa.ForeignKey('catalog.id'))
self.Catalog = Catalog
self.Product = Product
def test_assigns_aggregates_on_insert(self):
catalog = self.Catalog(
name=u'Some catalog'
)
self.session.add(catalog)
self.session.commit()
product = self.Product(
name=u'Product XYZ',
catalog=catalog
)
self.session.add(product)
self.session.commit()
self.session.refresh(catalog)
assert catalog.product_search_vector == "'product':1 'xyz':2"
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