import os
import sys
import json
from elasticsearch import Elasticsearch
sys.path.append(os.path.dirname(os.path.abspath(__file__+"/../")))
from es.query import QueryPreprocessor

es_hosts = []
es_index = "wikipedia"
es_type = "section"


if len(sys.argv) != 2:
    raise ValueError("Run with a single parameter: [json_file]")

if len(es_hosts) == 0:
    raise ValueError("Fill es_hosts")

es = Elasticsearch(hosts=es_hosts)
query_preprocessor = QueryPreprocessor()

with open(sys.argv[1]) as data_file:
    data = json.load(data_file)

for section in data:
    es.index(index=es_index, doc_type=es_type, body={"section_id": section["section_id"],
                                                     "text": query_preprocessor.fix_spacing(section["cleaned_text"]),
                                                     "original_text": section["original_text"],
                                                     "article": section["article"],
                                                     "section": section["section"]},
             request_timeout=450)
80a581459adce0ccde11a5650ee655643e92c390
<mask token>

<mask token>
sys.path.append(os.path.dirname(os.path.abspath(__file__ + '/../')))
<mask token>
if len(sys.argv) != 2:
    raise ValueError('Run with a single parameter: [json_file]')
if len(es_hosts) == 0:
    raise ValueError('Fill es_hosts')
<mask token>
with open(sys.argv[1]) as data_file:
    data = json.load(data_file)
for section in data:
    es.index(index=es_index, doc_type=es_type, body={'section_id': section[
        'section_id'], 'text': query_preprocessor.fix_spacing(section[
        'cleaned_text']), 'original_text': section['original_text'],
        'article': section['article'], 'section': section['section']},
        request_timeout=450)

<mask token>
sys.path.append(os.path.dirname(os.path.abspath(__file__ + '/../')))
<mask token>
es_hosts = []
es_index = 'wikipedia'
es_type = 'section'
if len(sys.argv) != 2:
    raise ValueError('Run with a single parameter: [json_file]')
if len(es_hosts) == 0:
    raise ValueError('Fill es_hosts')
es = Elasticsearch(hosts=es_hosts)
query_preprocessor = QueryPreprocessor()
with open(sys.argv[1]) as data_file:
    data = json.load(data_file)
for section in data:
    es.index(index=es_index, doc_type=es_type, body={'section_id': section[
        'section_id'], 'text': query_preprocessor.fix_spacing(section[
        'cleaned_text']), 'original_text': section['original_text'],
        'article': section['article'], 'section': section['section']},
        request_timeout=450)

import os
import sys
import json
from elasticsearch import Elasticsearch
sys.path.append(os.path.dirname(os.path.abspath(__file__ + '/../')))
from es.query import QueryPreprocessor
es_hosts = []
es_index = 'wikipedia'
es_type = 'section'
if len(sys.argv) != 2:
    raise ValueError('Run with a single parameter: [json_file]')
if len(es_hosts) == 0:
    raise ValueError('Fill es_hosts')
es = Elasticsearch(hosts=es_hosts)
query_preprocessor = QueryPreprocessor()
with open(sys.argv[1]) as data_file:
    data = json.load(data_file)
for section in data:
    es.index(index=es_index, doc_type=es_type, body={'section_id': section[
        'section_id'], 'text': query_preprocessor.fix_spacing(section[
        'cleaned_text']), 'original_text': section['original_text'],
        'article': section['article'], 'section': section['section']},
        request_timeout=450)

import os
import sys
import json
from elasticsearch import Elasticsearch
sys.path.append(os.path.dirname(os.path.abspath(__file__+"/../")))
from es.query import QueryPreprocessor

es_hosts = []
es_index = "wikipedia"
es_type = "section"


if len(sys.argv) != 2:
    raise ValueError("Run with a single parameter: [json_file]")

if len(es_hosts) == 0:
    raise ValueError("Fill es_hosts")

es = Elasticsearch(hosts=es_hosts)
query_preprocessor = QueryPreprocessor()

with open(sys.argv[1]) as data_file:
    data = json.load(data_file)

for section in data:
    es.index(index=es_index, doc_type=es_type, body={"section_id": section["section_id"],
                                                     "text": query_preprocessor.fix_spacing(section["cleaned_text"]),
                                                     "original_text": section["original_text"],
                                                     "article": section["article"],
                                                     "section": section["section"]},
             request_timeout=450)