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chore: import upstream snapshot with attribution
2026-07-13 12:16:49 +08:00

43 lines
1.4 KiB
Python

#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import pytest
from common import create_dataset, delete_datasets
@pytest.fixture(scope="class")
def add_table_parser_dataset(HttpApiAuth, request):
"""
Fixture to create a table parser dataset for testing.
Automatically cleans up after tests complete (deletes dataset and table).
Note: field_map is automatically generated by the table parser when processing files.
"""
dataset_payload = {
"name": "test_table_parser_dataset",
"chunk_method": "table", # table parser
}
res = create_dataset(HttpApiAuth, dataset_payload)
assert res["code"] == 0, f"Failed to create dataset: {res}"
dataset_id = res["data"]["id"]
def cleanup():
delete_datasets(HttpApiAuth, {"ids": [dataset_id]})
request.addfinalizer(cleanup)
return dataset_id