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

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Yongjie Zhao 2022-03-17 10:02:50 +08:00 committed by GitHub
parent a4848a2f46
commit e4c9a0d8ae
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2 changed files with 46 additions and 1 deletions

View File

@ -308,7 +308,7 @@ class TableColumn(Model, BaseColumn, CertificationMixin):
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)))
return and_(*l)
def get_timestamp_expression(

View File

@ -41,6 +41,7 @@ from superset.utils.core import (
FilterOperator,
GenericDataType,
TemporalType,
backend,
)
from superset.utils.database import get_example_database
from tests.integration_tests.fixtures.birth_names_dashboard import (
@ -605,6 +606,50 @@ 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 '2021-12-31'::timestamp as datetime_col "
"UNION SELECT '2022-01-01'::timestamp "
"UNION SELECT '2022-03-10'::timestamp "
"UNION SELECT '2023-01-01'::timestamp "
"UNION SELECT '2023-03-10'::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 '2021-12-31'::timestamp as datetime_col
UNION SELECT '2022-01-01'::timestamp
UNION SELECT '2022-03-10'::timestamp
UNION SELECT '2023-01-01'::timestamp
UNION SELECT '2023-03-10'::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"] == 2
@pytest.mark.parametrize(
"row,dimension,result",
[