# -*- coding: utf-8 -*-
# @Time : 2023/8/28 17:32
# @Author : XuJiakai
# @File : asyncio_es_scan
# @Software: PyCharm

from loguru import logger as log

from data_clean.utils.async_client import get_aio_elasticsearch
from data_clean.utils.base_utils import parse_env_and_name


class AsyncioElasticsearchFastScan:
    def __init__(self, index, query_dsl, env='new', doc_type: str = '_doc'):
        env, index = parse_env_and_name(index, env)
        self.es = get_aio_elasticsearch(env)
        self.env = env
        self.index = index
        self.query_dsl = query_dsl
        self.doc_type = doc_type
        pass

    async def scan(self, scroll='5m', timeout='5m', size=500):
        result_data = await self.es.search(index=self.index
                                           , doc_type=self.doc_type
                                           , body=self.query_dsl
                                           , scroll=scroll
                                           , timeout=timeout
                                           , size=size,
                                           )

        hits = result_data.get("hits").get("hits")
        total = result_data["hits"]["total"]
        log.info(
            "total record : {}", total
        )

        log.info("Processing a batch of data: {} - {}", 0, size)
        yield hits

        scroll_id = result_data["_scroll_id"]

        for i in range(int(total / size)):
            res = await self.es.scroll(scroll_id=scroll_id, scroll=scroll)
            log.info("Processing a batch of data: {} - {}", (i + 1) * size, (i + 2) * size)
            yield res["hits"]["hits"]
        log.info("scan successful ! ")
        await self.es.close()
        pass