extract elasticsearch data in ascending order in Python

elasticsearch_sorted_data_selector.py

from elasticsearch import Elasticsearch

es = Elasticsearch([{'host': "localhost", 'port': 9200}])

 query = {
    "sort": [
       {"timestamp": {"order": "asc"}},
       {"_score": {"order": "asc"}}
     ],
     "query": {"bool": {"must": [{"match": {"id": id}},
           {"range": {"timestamp": {"gte": start_time, "lte": end_time}}}]}
        }
     }
  
samplesCount = 0
res = es.search(index="index_name", doc_type="index_type", body=query, size=1000, scroll='1m')
scrollId = res['_scroll_id']

scrollSize = res['hits']['total']

while scrollSize > 0:
    for x in range(0, len(res['hits']['hits'])):
        value = res['hits']['hits'][x]["_source"]["value"]
        samplesCount += 1
        scrollSize -= 1
        # codes
    res = self.es.scroll(scroll_id=scrollId, scroll='1m')