def test_expr_binaryop(self):
self.assertEqual(qc.EvalEqual(qe.DateColumn(),
qc.EvalConstant(datetime.date(2014, 1, 1))),
qc.compile_expression(
qp.Equal(qp.Column('date'),
qp.Constant(datetime.date(2014, 1, 1))),
qe.TargetsEnvironment()))
def test_compile_targets_named(self):
# Test the wildcard expansion.
query = self.compile("SELECT length(account), account as a, date;")
self.assertEqual(
[qc.EvalTarget(qe.Length([qe.AccountColumn()]), 'length_account', False),
qc.EvalTarget(qe.AccountColumn(), 'a', False),
qc.EvalTarget(qe.DateColumn(), 'date', False)],
query.c_targets)
def test_is_aggregate_derived(self):
columns, aggregates = qc.get_columns_and_aggregates(
qc.EvalAnd(
qc.EvalEqual(qe.PositionColumn(), qc.EvalConstant(42)),
qc.EvalOr(
qc.EvalNot(qc.EvalEqual(qe.DateColumn(),
qc.EvalConstant(datetime.date(2014, 1, 1)))),
qc.EvalConstant(False))))
self.assertEqual((2, 0), (len(columns), len(aggregates)))
columns, aggregates = qc.get_columns_and_aggregates(
qc.EvalAnd(
qc.EvalEqual(qe.PositionColumn(), qc.EvalConstant(42)),
qc.EvalOr(
qc.EvalNot(qc.EvalEqual(qe.DateColumn(),
qc.EvalConstant(datetime.date(2014, 1, 1)))),
# Aggregation node deep in the tree.
qe.Sum([qc.EvalConstant(1)]))))
self.assertEqual((2, 1), (len(columns), len(aggregates)))
def test_get_columns_and_aggregates(self):
# Simple column.
c_query = qe.PositionColumn()
columns, aggregates = qc.get_columns_and_aggregates(c_query)
self.assertEqual((1, 0), (len(columns), len(aggregates)))
self.assertFalse(qc.is_aggregate(c_query))
# Multiple columns.
c_query = qc.EvalAnd(qe.PositionColumn(), qe.DateColumn())
columns, aggregates = qc.get_columns_and_aggregates(c_query)
self.assertEqual((2, 0), (len(columns), len(aggregates)))
self.assertFalse(qc.is_aggregate(c_query))
# Simple aggregate.
c_query = qe.SumPosition([qe.PositionColumn()])
columns, aggregates = qc.get_columns_and_aggregates(c_query)
self.assertEqual((0, 1), (len(columns), len(aggregates)))
self.assertTrue(qc.is_aggregate(c_query))
# Multiple aggregates.
c_query = qc.EvalAnd(qe.First([qe.AccountColumn()]),
qe.Last([qe.AccountColumn()]))
columns, aggregates = qc.get_columns_and_aggregates(c_query)
self.assertEqual((0, 2), (len(columns), len(aggregates)))
self.assertTrue(qc.is_aggregate(c_query))
# Simple non-aggregate function.
c_query = qe.Length([qe.AccountColumn()])
columns, aggregates = qc.get_columns_and_aggregates(c_query)
self.assertEqual((1, 0), (len(columns), len(aggregates)))
self.assertFalse(qc.is_aggregate(c_query))
# Mix of column and aggregates (this is used to detect this illegal case).
c_query = qc.EvalAnd(qe.Length([qe.AccountColumn()]),
qe.SumPosition([qe.PositionColumn()]))
columns, aggregates = qc.get_columns_and_aggregates(c_query)
self.assertEqual((1, 1), (len(columns), len(aggregates)))
self.assertTrue(qc.is_aggregate(c_query))