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#
# Pyserini: Reproducible IR research with sparse and dense representations
#
# 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.
#
"""Integration tests for commands in Pradeep et al. resource paper at ECIR 2023."""
import os
import unittest
from integrations.utils import clean_files, run_command, parse_score, parse_score_qa
class TestECIR2023(unittest.TestCase):
def setUp(self):
self.temp_files = []
def test_section5_sub2_first(self):
"""Sample code of the first command in Section 5.2."""
metrics = ["Top5", "Top20", "Top100"]
ground_truth = [73.8, 84.27, 89.34]
output_file = 'runs/run.nq-test.dkrr.trec'
json_file = 'runs/run.nq-test.dkrr.json'
self.temp_files.append(output_file)
self.temp_files.append(json_file)
# retrieval
run_cmd = f'python -m pyserini.search.faiss \
--index wikipedia-dpr-dkrr-nq \
--topics nq-test \
--encoder castorini/dkrr-dpr-nq-retriever \
--output {output_file} --query-prefix question: \
--threads 72 --batch-size 72 \
--hits 100'
status = os.system(run_cmd)
self.assertEqual(status, 0)
# conversion
convert_cmd = f'python -m pyserini.eval.convert_trec_run_to_dpr_retrieval_run \
--topics nq-test \
--index wikipedia-dpr \
--input {output_file} \
--output {json_file}'
status = os.system(convert_cmd)
self.assertEqual(status, 0)
# evaluation
eval_cmd = f'python -m pyserini.eval.evaluate_dpr_retrieval \
--retrieval {json_file} \
--topk 5 20 100'
stdout, stderr = run_command(eval_cmd)
scores = []
for mt in metrics:
scores.append(parse_score_qa(stdout, mt, 4) * 100)
for score in zip(scores, ground_truth):
self.assertAlmostEqual(score[0], score[1], delta=0.02)
def test_section5_sub2_second(self):
"""Sample code of the second command in Section 5.2."""
cmd_nq = 'python scripts/repro_matrix/run_all_odqa.py --topics nq'
cmd_tqa = 'python scripts/repro_matrix/run_all_odqa.py --topics nq'
# run both commands, check if all tests passed (i.e., returned OK)
stdout_nq, stderr_nq = run_command(cmd_nq)
self.assertEqual(stdout_nq.count('[OK]'), 21)
stdout_tqa, stderr_tqa = run_command(cmd_tqa)
self.assertEqual(stdout_tqa.count('[OK]'), 21)
def tearDown(self):
clean_files(self.temp_files)
if __name__ == '__main__':
unittest.main()
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