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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. | |
| # | |
| import os | |
| import shutil | |
| import unittest | |
| from random import randint | |
| from integrations.lucenesearcher_score_checker import LuceneSearcherScoreChecker | |
| class TestSearchIntegration(unittest.TestCase): | |
| def setUp(self): | |
| # The current directory depends on if you're running inside an IDE or from command line. | |
| curdir = os.getcwd() | |
| if curdir.endswith('sparse'): | |
| self.pyserini_root = '../..' | |
| else: | |
| self.pyserini_root = '.' | |
| self.tmp = f'{self.pyserini_root}/integrations/tmp{randint(0, 10000)}' | |
| if os.path.exists(self.tmp): | |
| shutil.rmtree(self.tmp) | |
| else: | |
| os.mkdir(self.tmp) | |
| #wget cacm jsonl file | |
| os.system(f'wget https://raw.githubusercontent.com/castorini/anserini-data/master/CACM/corpus/jsonl/cacm.json -P {self.tmp}/cacm_jsonl') | |
| #pre tokenized jsonl | |
| os.system(f'python -m pyserini.tokenize_json_collection --input {self.tmp}/cacm_jsonl/ --output {self.tmp}/cacm_bert_jsonl/ --tokenizer bert-base-uncased') | |
| self.pyserini_index_cmd = 'python -m pyserini.index' | |
| self.pyserini_search_cmd = 'python -m pyserini.search' | |
| self.pyserini_trec_eval_cmd = 'python -m pyserini.eval.trec_eval' | |
| self.cacm_jsonl_path = os.path.join(self.tmp, 'cacm_jsonl') | |
| self.cacm_bert_jsonl_path = os.path.join(self.tmp, 'cacm_bert_jsonl') | |
| self.cacm_index_path = os.path.join(self.tmp, 'cacm_index') | |
| self.cacm_bert_index_path = os.path.join(self.tmp, 'cacm_bert_index') | |
| self.cacm_qrels_path = os.path.join(self.pyserini_root, 'tools/topics-and-qrels/qrels.cacm.txt') | |
| self.cacm_topics_path = os.path.join(self.pyserini_root, 'tools/topics-and-qrels/topics.cacm.txt') | |
| os.system(f'{self.pyserini_index_cmd} -collection JsonCollection -generator DefaultLuceneDocumentGenerator -threads 9 -input {self.cacm_jsonl_path} -index {self.cacm_index_path} -storePositions -storeDocvectors -storeRaw' ) | |
| os.system(f'{self.pyserini_index_cmd} -collection JsonCollection -generator DefaultLuceneDocumentGenerator -threads 9 -input {self.cacm_bert_jsonl_path} -index {self.cacm_bert_index_path} -storePositions -storeDocvectors -storeRaw -pretokenized') | |
| self.cacm_checker = LuceneSearcherScoreChecker( | |
| index=self.cacm_index_path, | |
| topics=os.path.join(self.pyserini_root, 'tools/topics-and-qrels/topics.cacm.txt'), | |
| pyserini_topics=os.path.join(self.pyserini_root, 'tools/topics-and-qrels/topics.cacm.txt'), | |
| qrels=self.cacm_qrels_path, | |
| eval=f'{self.pyserini_trec_eval_cmd} -m map -m P.30') | |
| self.cacm_bert_checker = LuceneSearcherScoreChecker( | |
| index=self.cacm_bert_index_path, | |
| topics=os.path.join(self.pyserini_root, 'tools/topics-and-qrels/topics.cacm.txt'), | |
| pyserini_topics=os.path.join(self.pyserini_root, 'tools/topics-and-qrels/topics.cacm.txt'), | |
| qrels=self.cacm_qrels_path, | |
| eval=f'{self.pyserini_trec_eval_cmd} -m map -m P.30') | |
| def test_without_pretokenized(self): | |
| self.assertTrue(self.cacm_checker.run('cacm', '--bm25', 0.3114)) | |
| def test_with_pretokenized(self): | |
| self.assertTrue(self.cacm_bert_checker.run('cacm_bert', '--bm25', 0.2750, 'bert-base-uncased')) | |
| def tearDown(self): | |
| shutil.rmtree(f'{self.tmp}') | |
| if __name__ == '__main__': | |
| unittest.main() |