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fix: time filter should be [start, end) #19166

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merged 7 commits into from
Mar 17, 2022
Merged

fix: time filter should be [start, end) #19166

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7b62e4e
fix: time filter should be [start, end)
zhaoyongjie Mar 16, 2022
d023a7e
add ut
zhaoyongjie Mar 16, 2022
1c9224a
minor fix
zhaoyongjie Mar 16, 2022
aae7e27
minor fix
zhaoyongjie Mar 16, 2022
5c97116
minor fix
zhaoyongjie Mar 16, 2022
b74937b
minor fix
zhaoyongjie Mar 16, 2022
1d719be
more accurate ut
zhaoyongjie Mar 17, 2022
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2 changes: 1 addition & 1 deletion superset/connectors/sqla/models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -308,7 +308,7 @@ def get_time_filter(
if start_dttm:
l.append(col >= self.table.text(self.dttm_sql_literal(start_dttm)))
if end_dttm:
l.append(col <= self.table.text(self.dttm_sql_literal(end_dttm)))
l.append(col < self.table.text(self.dttm_sql_literal(end_dttm)))
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Yikes! Thanks @zhaoyongjie for catching this. This was exactly what SIP-15 was fixing.

return and_(*l)

def get_timestamp_expression(
Expand Down
39 changes: 39 additions & 0 deletions tests/integration_tests/sqla_models_tests.py
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Original file line number Diff line number Diff line change
Expand Up @@ -41,6 +41,7 @@
FilterOperator,
GenericDataType,
TemporalType,
backend,
)
from superset.utils.database import get_example_database
from tests.integration_tests.fixtures.birth_names_dashboard import (
Expand Down Expand Up @@ -605,6 +606,44 @@ def test_filter_on_text_column(text_column_table):
assert result_object.df["count"][0] == 1


def test_should_generate_closed_and_open_time_filter_range():
with app.app_context():
if backend() != "postgresql":
pytest.skip(f"{backend()} has different dialect for datetime column")

table = SqlaTable(
table_name="temporal_column_table",
sql=(
"SELECT '2022-01-01'::timestamp as datetime_col"
" UNION SELECT '2023-01-01'::timestamp"
),
database=get_example_database(),
)
TableColumn(
column_name="datetime_col", type="TIMESTAMP", table=table, is_dttm=True,
)
SqlMetric(metric_name="count", expression="count(*)", table=table)
result_object = table.query(
{
"metrics": ["count"],
"is_timeseries": False,
"filter": [],
"from_dttm": datetime(2022, 1, 1),
"to_dttm": datetime(2023, 1, 1),
"granularity": "datetime_col",
}
)
""" >>> result_object.query
SELECT count(*) AS count
FROM
(SELECT '2022-01-01'::timestamp as datetime_col
UNION SELECT '2023-01-01'::timestamp) AS virtual_table
WHERE datetime_col >= TO_TIMESTAMP('2022-01-01 00:00:00.000000', 'YYYY-MM-DD HH24:MI:SS.US')
AND datetime_col < TO_TIMESTAMP('2023-01-01 00:00:00.000000', 'YYYY-MM-DD HH24:MI:SS.US')
"""
assert result_object.df.iloc[0]["count"] == 1


@pytest.mark.parametrize(
"row,dimension,result",
[
Expand Down