class NTCIRConverterTest(unittest.TestCase):
source_dir: Path = data_dir.joinpath('ntcir')
def __init__(self, *args, **kwargs):
super(NTCIRConverterTest, self).__init__(*args, **kwargs)
self.converter: NTCIRConverter = NTCIRConverter()
self.test_file: Path = NTCIRConverterTest.source_dir.joinpath(
'orig/collection/sample.txt')
self.docs: List[ColDocument] = list(
self.converter.to_document(self.test_file))
self.queries: List[QueryDocument] = [
self.converter.to_query_dump(
NTCIRConverterTest.source_dir.joinpath(
f'orig/query/100{i}.xml'))[0] for i in range(1, 4)
]
def test_get_title(self):
assert self.docs[
0].title.value == 'Process for making improved corrosion preventive zinc cyanamide'
def test_get_docid(self):
assert self.docs[0].docid.value == '199305176894'
def test_get_tags(self):
self.assertListEqual(self.docs[0].tags.value, ['C01C'])
def test_get_text(self):
assert self.docs[0].text.value.split(
)[:3] == 'The invention will'.split()
def test_get_paras(self):
assert self.queries[0].paras[0].split(
)[:3] == 'DETAILED DESCRIPTION OF'.split()
assert self.queries[0].paras[1].split(
)[:3] == 'On the contrary,'.split()
def dump_query(self) -> None:
qlist: List[QueryDocument] = sum([
list(self.dataset.converter.to_query_dump(fpath))
for fpath in self.dataset.iter_query_files()
], [])
dic: Dict = QueryDataset(name=self.name, queries=qlist).to_dict()
fpath: Path = data_dir.joinpath(f'{self.name}/query/dump.json')
with open(fpath, 'w') as fout:
json.dump(dic, fout)
def to_xml_root(self, docid: str) -> ET.Element:
"""
Parameters
----------
docid
EP... *with* '-'
e.g. EP-0050001-A2
"""
first: str = docid[3]
second: str = docid[4:6]
third: str = docid[6:8]
forth: str = docid[8:10]
fpath: Path = data_dir.joinpath(
f'clef/orig/collection/00000{first}/{second}/{third}/{forth}/{docid}.xml'
)
root: ET.Element = ET.parse(str(fpath.resolve())).getroot()
return root
def __init__(self, *args, **kwargs):
super(AANConverterTest, self).__init__(*args, **kwargs)
self.converter: AANConverter = AANConverter()
self.source_dir: Path = data_dir.joinpath('aan/orig/collection')
self.docs: List[ColDocument] = list(
flatten([
self.converter.to_document(
self.source_dir.joinpath(f'{docid}.txt')) for docid in [
'D07-1026',
'D07-1016',
]
]))
self.queries: List[QueryDocument] = list(
flatten([
self.converter.to_query_dump(
self.source_dir.joinpath(f'{docid}.txt')) for docid in [
'D07-1026',
'D07-1016',
]
]))
def iter_orig_files(self) -> Generator[Path, None, None]:
return data_dir.joinpath(f'aan/orig/collection').glob(f'*.txt')
dataset: str) -> bool:
body: Dict = {
'query': {
'match': {
'docid': docid
}
}
}
res = es.search(index=dataset, body=body)
return len(res['hits']['hits']) > 0
if __name__ == '__main__':
args = parser.parse_args()
dataset: str = args.dataset[0]
is_map: bool = args.mapping
with open(data_dir.joinpath(f'{dataset}/en.qrel')) as fin:
lines: List[str] = fin.read().splitlines()
if is_map:
with open(data_dir.joinpath(f'{dataset}/name_mapping.json')) as fin:
mapping: Dict[str, str] = json.load(fin)
with open(data_dir.joinpath(f'{dataset}/en.valid.qrel'), 'w') as fout:
for line in lines:
items: List[str] = line.split()
docid: str = items[2].replace('-', '')
if check_existence(docid, dataset):
query_docid: str = mapping[items[0]].replace('-', '') if is_map else items[0]
fout.write(f'{query_docid} {items[1]} {docid} {items[3]}\n')
from dataclasses import dataclass
import logging
from pathlib import Path
import sys
from typing import Dict, List, Tuple
import xml.etree.ElementTree as ET
import nltk
from docsim.elas import models
from docsim.converters.base import (Converter)
from docsim.models import ColDocument, ColParagraph, QueryDocument
from docsim.settings import data_dir
logger = logging.getLogger(__file__)
with open(data_dir.joinpath('aan/orig/citations.txt'), 'r') as fin:
title_dic: Dict[str, str] = {
line[0]: line[1]
for line in [l.split('\t') for l in fin.read().splitlines()]
}
@dataclass
class AANConverter(Converter):
def _get_paragraph_list(self, root: ET.Element) -> List[str]:
pass
def _get_info(self, fpath: Path) -> Tuple[str, List[str], str, str]:
docid: str = fpath.stem
tags: List[str] = [
docid.split('-')[0],
def dump_path_from_name(cls, name: str) -> Path:
return data_dir.joinpath(f'{name}.faiss')
def iter_query_files(self) -> Generator[Path, None, None]:
return data_dir.joinpath(f'ntcir/orig/query').glob(f'**/*')
def mapping_fpath(self) -> Path:
return data_dir.joinpath(f'ntcir/name_mapping.json')
def iter_orig_files(self) -> Generator[Path, None, None]:
return data_dir.joinpath(f'clef/orig/collection').glob(f'**/*.xml')
def _get_dump_path(cls, name: str) -> Path:
return data_dir.joinpath(f'{name}/query/dump.json')
