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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 json
import os
import re
import shutil
import unittest
from random import randint
from pyserini.util import download_url, download_prebuilt_index
class TestSearchIntegration(unittest.TestCase):
def setUp(self):
curdir = os.getcwd()
if curdir.endswith('clprf'):
self.pyserini_root = '../..'
else:
self.pyserini_root = '.'
self.tmp = f'{self.pyserini_root}/integrations/tmp{randint(0, 10000)}'
# In the rare event there's a collision
if os.path.exists(self.tmp):
shutil.rmtree(self.tmp)
os.mkdir(self.tmp)
os.mkdir(f'{self.tmp}/runs')
self.round3_runs = {
'https://raw.githubusercontent.com/castorini/anserini/master/src/main/resources/topics-and-qrels/qrels.covid-round3-cumulative.txt':
'dfccc32efd58a8284ae411e5c6b27ce9',
}
download_url('https://ir.nist.gov/covidSubmit/archive/round3/covidex.r3.monot5',
f'{self.tmp}/runs')
for url in self.round3_runs:
print(f'Verifying stored run at {url}...')
filename = url.split('/')[-1]
filename = re.sub('\\?dl=1$', '', filename) # Remove the Dropbox 'force download' parameter
download_url(url, self.tmp, md5=self.round3_runs[url], force=True)
self.assertTrue(os.path.exists(os.path.join(self.tmp, filename)))
def test_bm25(self):
tmp_folder_name = self.tmp.split('/')[-1]
prebuilt_index_path = download_prebuilt_index('trec-covid-r3-abstract')
os.system(f'python {self.pyserini_root}/scripts/classifier_prf/rank_trec_covid.py \
-alpha 0.5 \
-clf lr \
-vectorizer tfidf \
-new_qrels {self.pyserini_root}/tools/topics-and-qrels/qrels.covid-round3.txt \
-base {self.tmp}/runs/covidex.r3.monot5 \
-tmp_base {tmp_folder_name} \
-qrels {self.pyserini_root}/tools/topics-and-qrels/qrels.covid-round2-cumulative.txt \
-index {prebuilt_index_path} \
-tag covidex.r3.t5.lr \
-output {self.tmp}/output.json')
with open(f'{self.tmp}/output.json') as json_file:
data = json.load(json_file)
self.assertEqual("0.3333", data['map'])
self.assertEqual("0.6916", data['ndcg'])
def tearDown(self):
shutil.rmtree(self.tmp)
if __name__ == '__main__':
unittest.main()
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