title_with_video/tasks/new_contentId_task.py

"""
@author: luojunhui
"""
import json
import time
import asyncio
import traceback

from typing import List, Dict

from applications.config import Config
from applications.const import new_content_id_task_const as NewContentIdTaskConst
from applications.log import logging
from applications.functions.common import shuffle_list
from applications.spider import search_videos_from_web
from applications.feishu import bot
from applications.functions.aigc import record_trace_id
from .utils import *


class NewContentIdTask(object):
    """
    不存在历史已经发布的文章的匹配流程
    """

    def __init__(self, long_articles_client, aigc_client):
        self.long_articles_client = long_articles_client
        self.aigc_client = aigc_client
        self.config = Config()
        self.article_match_video_table = self.config.article_match_video_table
        self.article_text_table = self.config.article_text_table
        self.article_crawler_video_table = self.config.article_crawler_video_table
        self.gh_id_dict = json.loads(self.config.get_config_value("testAccountLevel2"))
        self.account_map = json.loads(self.config.get_config_value("accountMap"))
        self.spider_coroutines = self.config.get_config_value("spiderCoroutines")

    async def get_tasks(self) -> List[Dict]:
        """
        获取 task
        :return:
        """
        # 获取  process_times <= 3 且  content_status = 0 的任务
        select_sql = f"""
            SELECT
                t1.trace_id, t1.content_id, t1.flow_pool_level, t1.gh_id, t1.process_times, t1.publish_flag
            FROM
                {self.article_match_video_table} t1
            LEFT JOIN (
                SELECT content_id, count(1) as cnt
                FROM {self.article_crawler_video_table}
                WHERE download_status = {NewContentIdTaskConst.VIDEO_DOWNLOAD_SUCCESS_STATUS}
                GROUP BY content_id
            ) t2
            ON t1.content_id = t2.content_id
            WHERE
                    t1.content_status = {NewContentIdTaskConst.TASK_INIT_STATUS}
                AND t1.process_times <= {NewContentIdTaskConst.TASK_MAX_PROCESS_TIMES}
                AND t2.cnt IS NULL
            ORDER BY flow_pool_level, request_timestamp
            LIMIT {self.spider_coroutines};
        """
        tasks = await self.long_articles_client.async_select(select_sql)
        if tasks:
            return [
                {
                    "trace_id": i[0],
                    "content_id": i[1],
                    "flow_pool_level": i[2],
                    "gh_id": i[3],
                    "process_times": i[4],
                    "publish_flag": i[5]
                }
                for i in tasks
            ]
        else:
            return []

    async def set_tasks_status_fail(self) -> None:
        """
        将 处理次数大约3次，且状态不为成功状态的（3， 4）的任务状态修改为失败
        """
        update_status_sql = f"""
                    UPDATE 
                        {self.article_match_video_table}
                    SET 
                        content_status = %s
                    WHERE 
                        process_times > %s and content_status not in (%s, %s);
                """
        await self.long_articles_client.async_insert(
            update_status_sql,
            params=(
                NewContentIdTaskConst.TASK_FAIL_STATUS,
                NewContentIdTaskConst.TASK_MAX_PROCESS_TIMES,
                NewContentIdTaskConst.TASK_ETL_COMPLETE_STATUS,
                NewContentIdTaskConst.TASK_PUBLISHED_STATUS
            )
        )

    async def roll_back_unfinished_tasks(self, publish_flag: int) -> None:
        """
        将长时间处于中间状态的任务回滚
        """
        # 获取 content_status 为 处理中 的任务，判断时间, 如果超过 1h 则，则将它改为 0， process_times + 1
        if publish_flag == NewContentIdTaskConst.NEED_PUBLISH:
            processing_status_tuple = (
                NewContentIdTaskConst.TASK_PROCESSING_STATUS,
                NewContentIdTaskConst.TASK_KIMI_FINISHED_STATUS,
                NewContentIdTaskConst.TASK_SPIDER_FINISHED_STATUS,
                NewContentIdTaskConst.TASK_ETL_COMPLETE_STATUS
            )
        elif publish_flag == NewContentIdTaskConst.DO_NOT_NEED_PUBLISH:
            processing_status_tuple = (
                NewContentIdTaskConst.TASK_PROCESSING_STATUS,
                NewContentIdTaskConst.TASK_KIMI_FINISHED_STATUS,
                NewContentIdTaskConst.TASK_SPIDER_FINISHED_STATUS
            )
        else:
            return
        select_processing_sql = f"""
            SELECT 
                trace_id, content_status_update_time, process_times, content_status
            FROM 
                {self.article_match_video_table}
            WHERE 
                content_status in {processing_status_tuple}
                and process_times <= {NewContentIdTaskConst.TASK_MAX_PROCESS_TIMES}
                and publish_flag = {publish_flag}; 
        """
        processing_articles = await self.long_articles_client.async_select(select_processing_sql)
        if processing_articles:
            processing_list = [
                {
                    "trace_id": item[0],
                    "content_status_update_time": item[1],
                    "process_times": item[2],
                    "content_status": item[3]
                }
                for item in processing_articles
            ]
            for obj in processing_list:
                if int(time.time()) - obj['content_status_update_time'] >= NewContentIdTaskConst.TASK_PROCESSING_TIMEOUT:
                    # 认为该任务失败
                    await self.roll_back_content_status_when_fails(
                        process_times=obj['process_times'] + 1,
                        trace_id=obj['trace_id'],
                        ori_content_status=obj['content_status']
                    )

    async def update_content_status(self, new_content_status, trace_id, ori_content_status):
        """
        :param new_content_status:
        :param trace_id:
        :param ori_content_status:
        :return:
        """
        update_sql = f"""
                    UPDATE {self.article_match_video_table}
                    SET content_status = %s, content_status_update_time = %s
                    WHERE trace_id = %s and content_status = %s;
                    """
        row_counts = await self.long_articles_client.async_insert(
            sql=update_sql,
            params=(
                new_content_status,
                int(time.time()),
                trace_id,
                ori_content_status
            )
        )
        return row_counts

    async def roll_back_content_status_when_fails(self, process_times, trace_id,
                                                  ori_content_status=NewContentIdTaskConst.TASK_PROCESSING_STATUS):
        """
        处理失败，回滚至初始状态，处理次数加 1
        :param process_times:
        :param trace_id:
        :param ori_content_status:
        :return:
        """
        update_article_sql = f"""
                            UPDATE {self.article_match_video_table}
                            SET
                                content_status = %s, 
                                content_status_update_time = %s,
                                process_times = %s
                            WHERE trace_id = %s and content_status = %s;
                        """
        await self.long_articles_client.async_insert(
            sql=update_article_sql,
            params=(
                NewContentIdTaskConst.TASK_INIT_STATUS,
                int(time.time()),
                process_times + 1,
                trace_id,
                ori_content_status
            )
        )

    async def judge_whether_same_content_id_is_processing(self, content_id):
        """
        同一个 content_id 只需要处理一次
        :param content_id:
        :return:
        success: 4
        init: 0
        fail: 99
        """
        select_sql = f"""
                   SELECT distinct content_status
                   FROM {self.article_match_video_table}
                   WHERE content_id = '{content_id}';
        """
        result = await self.long_articles_client.async_select(select_sql)
        if result:
            for item in result:
                content_status = item[0]
                # if content_status not in {self.TASK_INIT_STATUS, self.TASK_PUBLISHED_STATUS} :
                if content_status in {
                    NewContentIdTaskConst.TASK_KIMI_FINISHED_STATUS,
                    NewContentIdTaskConst.TASK_SPIDER_FINISHED_STATUS,
                    NewContentIdTaskConst.TASK_ETL_COMPLETE_STATUS,
                    NewContentIdTaskConst.TASK_PROCESSING_STATUS,
                    NewContentIdTaskConst.TASK_PUBLISHED_STATUS
                }:
                    return True
            return False
        else:
            return False

    async def get_source_content_id(self, new_content_id):
        """
        通过content_id 查找源content_id，并且更新其内容
        """
        select_channel_id_sql = f"""
            SELECT channel_content_id
            FROM produce_plan_exe_record
            WHERE plan_exe_id = '{new_content_id}';
        """
        channel_content_id = await self.aigc_client.async_select(select_channel_id_sql)

        if channel_content_id:
            select_source_content_id_sql = f"""
                SELECT root_produce_content_id
                FROM article_pool_promotion_source
                WHERE channel_content_id = '{channel_content_id[0][0]}';
            """
            source_content_id = await self.long_articles_client.async_select(select_source_content_id_sql)
            if source_content_id:
                return source_content_id[0][0]
            else:
                return
        else:
            return

    async def kimi_task(self, params):
        """
        执行 kimi 任务
        :return:
        """
        trace_id = params['trace_id']
        if params.get("root_content_id"):
            kimi_result = await get_kimi_result(content_id=params['root_content_id'], article_text_table=self.article_text_table, db_client=self.long_articles_client)
            if kimi_result:
                affected_rows = await self.update_content_status(
                    new_content_status=NewContentIdTaskConst.TASK_KIMI_FINISHED_STATUS,
                    trace_id=trace_id,
                    ori_content_status=NewContentIdTaskConst.TASK_INIT_STATUS
                )
                if affected_rows == 0:
                    logging(
                        code="6000",
                        info="多个进程抢占同一个任务的执行状态锁，抢占失败，return"
                    )
                    return
                logging(
                    code="8023",
                    function="kimi_task",
                    trace_id=trace_id,
                    info="从root_content_id获取结果",
                    data=params
                )
                return kimi_result
            else:
                params.pop('root_content_id', None)
                print(params)
                return await self.kimi_task(params)

        # 处理content_id
        content_id = params['content_id']
        process_times = params['process_times']
        kimi_status_code = await get_kimi_status(content_id=content_id, article_text_table=self.article_text_table, db_client=self.long_articles_client)

        if kimi_status_code == NewContentIdTaskConst.KIMI_SUCCESS_STATUS:
            affected_rows = await self.update_content_status(
                new_content_status=NewContentIdTaskConst.TASK_KIMI_FINISHED_STATUS,
                trace_id=trace_id,
                ori_content_status=NewContentIdTaskConst.TASK_INIT_STATUS
            )
            if affected_rows == 0:
                logging(
                    code="6000",
                    info="多个进程抢占同一个任务的执行状态锁，抢占失败，return"
                )
                return
            kimi_result = await get_kimi_result(content_id=content_id, article_text_table=self.article_text_table, db_client=self.long_articles_client)
            return kimi_result

        elif kimi_status_code == NewContentIdTaskConst.ARTICLE_TEXT_TABLE_ERROR:
            logging(
                code="4000",
                info="long_articles_text表中未找到 content_id"
            )

        else:
            # 开始处理，讲 content_status 从 0  改为  101
            affected_rows = await self.update_content_status(
                new_content_status=NewContentIdTaskConst.TASK_PROCESSING_STATUS,
                trace_id=trace_id,
                ori_content_status=NewContentIdTaskConst.TASK_INIT_STATUS
            )
            if affected_rows == 0:
                logging(
                    code="6000",
                    info="多个进程抢占同一个任务的执行状态锁，抢占失败，return"
                )
                return
            try:
                kimi_result = await generate_kimi_result(content_id=content_id, article_text_table=self.article_text_table, db_client=self.long_articles_client)
                await self.update_content_status(
                    new_content_status=NewContentIdTaskConst.TASK_KIMI_FINISHED_STATUS,
                    trace_id=trace_id,
                    ori_content_status=NewContentIdTaskConst.TASK_PROCESSING_STATUS
                )
                return kimi_result
            except Exception as e:
                # kimi 任务处理失败
                error = traceback.format_exc()
                print(error)
                update_kimi_sql = f"""
                        UPDATE {self.article_text_table}
                        SET
                            kimi_status = %s 
                        WHERE content_id = %s
                        """
                await self.long_articles_client.async_insert(
                    sql=update_kimi_sql,
                    params=(
                        NewContentIdTaskConst.KIMI_FAIL_STATUS,
                        content_id
                    )
                )
                # 将状态由 101  回退为  0
                await self.roll_back_content_status_when_fails(
                    process_times=process_times,
                    trace_id=trace_id
                )
                return {}

    async def spider_task(self, params, kimi_result):
        """
        爬虫任务
        :return:
        """
        trace_id = params['trace_id']
        content_id = params['content_id']
        process_times = params['process_times']
        gh_id = params['gh_id']
        if params.get("root_content_id"):
            # 从爬虫表获取root_content_id的视频，并且写入爬虫表，将记录状态由1 --> 2
            update_rows = await update_crawler_table_with_exist_content_id(
                content_id=content_id,
                trace_id=trace_id,
                article_crawler_video_table=self.article_crawler_video_table,
                db_client=self.long_articles_client,
                root_content_id=params['root_content_id']
            )
            if update_rows:
                affected_rows = await self.update_content_status(
                    new_content_status=NewContentIdTaskConst.TASK_SPIDER_FINISHED_STATUS,
                    trace_id=trace_id,
                    ori_content_status=NewContentIdTaskConst.TASK_KIMI_FINISHED_STATUS
                )
                if affected_rows == 0:
                    return
                logging(
                    code="8024",
                    function="spider_task",
                    trace_id=trace_id,
                    info="从root_content_id获取结果",
                    data=params
                )
                return True
            else:
                params.pop("root_content_id", None)
                return await self.spider_task(params, kimi_result)

        download_video_exist_flag = await whether_downloaded_videos_exists(
            content_id=content_id,
            article_crawler_video_table=self.article_crawler_video_table,
            db_client=self.long_articles_client
        )
        if download_video_exist_flag:
            await self.update_content_status(
                new_content_status=NewContentIdTaskConst.TASK_SPIDER_FINISHED_STATUS,
                trace_id=trace_id,
                ori_content_status=NewContentIdTaskConst.TASK_KIMI_FINISHED_STATUS
            )
            return True

        # 开始处理，将状态由 1 改成  101
        affected_rows = await self.update_content_status(
            new_content_status=NewContentIdTaskConst.TASK_PROCESSING_STATUS,
            ori_content_status=NewContentIdTaskConst.TASK_KIMI_FINISHED_STATUS,
            trace_id=trace_id
        )
        if affected_rows == 0:
            logging(
                code="6000",
                info="多个进程抢占同一个任务的执行状态锁，抢占失败，return"
            )
            return False
        try:
            logging(
                code="spider_1001",
                info="开始执行搜索任务",
                trace_id=trace_id,
                data=kimi_result
            )
            search_videos_count = await search_videos_from_web(
                info={
                    "ori_title": kimi_result['ori_title'],
                    "kimi_summary": kimi_result['kimi_summary'],
                    "kimi_keys": kimi_result['kimi_keys'],
                    "trace_id": trace_id,
                    "gh_id": gh_id,
                    "content_id": content_id,
                    "crawler_video_table": self.article_crawler_video_table
                },
                gh_id_map=self.account_map,
                db_client=self.long_articles_client
            )
            if search_videos_count >= NewContentIdTaskConst.MIN_MATCH_VIDEO_NUM:
                # 表示爬虫任务执行成功, 将状态从 101  改为 2
                logging(
                    code="spider_1002",
                    info="搜索成功",
                    trace_id=trace_id,
                    data=kimi_result
                )
                await self.update_content_status(
                    new_content_status=NewContentIdTaskConst.TASK_SPIDER_FINISHED_STATUS,
                    trace_id=trace_id,
                    ori_content_status=NewContentIdTaskConst.TASK_PROCESSING_STATUS
                )
                return True
            else:
                logging(
                    code="spider_1003",
                    info="搜索失败",
                    trace_id=trace_id,
                    data=kimi_result
                )
                await self.roll_back_content_status_when_fails(
                    process_times=process_times + 1,
                    trace_id=trace_id
                )
                return False
        except Exception as e:
            await self.roll_back_content_status_when_fails(
                process_times=process_times + 1,
                trace_id=trace_id
            )
            print("爬虫处理失败: {}".format(e))
            return False

    async def etl_task(self, params):
        """
        download && upload videos
        :param params:
        :return:
        """
        trace_id = params['trace_id']
        content_id = params['content_id']
        process_times = params['process_times']
        # 判断视频是否已下载完成
        video_exist_flag = await whether_downloaded_videos_exists(
            content_id=content_id,
            article_crawler_video_table=self.article_crawler_video_table,
            db_client=self.long_articles_client
        )
        if video_exist_flag:
            affect_rows = await self.update_content_status(
                ori_content_status=NewContentIdTaskConst.TASK_SPIDER_FINISHED_STATUS,
                trace_id=trace_id,
                new_content_status=NewContentIdTaskConst.TASK_ETL_COMPLETE_STATUS
            )
            if affect_rows == 0:
                logging(
                    code="6000",
                    info="多个进程抢占同一个任务的执行状态锁，抢占失败，return"
                )
                return False
            return True
        else:
            # 开始处理, 将文章状态修改为处理状态
            affected_rows = await self.update_content_status(
                ori_content_status=NewContentIdTaskConst.TASK_SPIDER_FINISHED_STATUS,
                trace_id=trace_id,
                new_content_status=NewContentIdTaskConst.TASK_PROCESSING_STATUS
            )
            if affected_rows == 0:
                logging(
                    code="6000",
                    info="多个进程抢占同一个任务的执行状态锁，抢占失败，return"
                )
                return False

            # download videos
            downloaded_count = await async_download_videos(
                trace_id=trace_id,
                content_id=content_id,
                article_crawler_video_table=self.article_crawler_video_table,
                db_client=self.long_articles_client
            )

            if downloaded_count >= NewContentIdTaskConst.MIN_MATCH_VIDEO_NUM:
                await self.update_content_status(
                    ori_content_status=NewContentIdTaskConst.TASK_PROCESSING_STATUS,
                    trace_id=trace_id,
                    new_content_status=NewContentIdTaskConst.TASK_ETL_COMPLETE_STATUS
                )
                return True
            else:
                await self.roll_back_content_status_when_fails(
                    process_times=process_times + 1,
                    trace_id=trace_id
                )
                return False

    async def publish_task(self, params, kimi_title):
        """
        发布任务
        :param kimi_title:
        :param params:
        :return:
        """
        gh_id = params['gh_id']
        flow_pool_level = params['flow_pool_level']
        content_id = params['content_id']
        trace_id = params['trace_id']
        process_times = params['process_times']
        # 开始处理，将状态修改为操作状态
        affected_rows = await self.update_content_status(
            ori_content_status=NewContentIdTaskConst.TASK_ETL_COMPLETE_STATUS,
            trace_id=trace_id,
            new_content_status=NewContentIdTaskConst.TASK_PROCESSING_STATUS
        )
        if affected_rows == 0:
            logging(
                code="6000",
                info="多个进程抢占同一个任务的执行状态锁，抢占失败，return"
            )
            return False
        try:
            download_videos = await get_downloaded_videos(
                content_id=content_id,
                article_crawler_video_table=self.article_crawler_video_table,
                db_client=self.long_articles_client
            )

            match flow_pool_level:
                case "autoArticlePoolLevel4":
                    # 冷启层， 全量做
                    video_list = shuffle_list(download_videos)[:3]
                case "autoArticlePoolLevel3":
                    if self.gh_id_dict.get(gh_id):
                        video_list = shuffle_list(download_videos)[:3]
                    else:
                        video_list = download_videos[:3]
                case "autoArticlePoolLevel2":
                    # 次条，只针对具体账号做
                    video_list = []
                case "autoArticlePoolLevel1":
                    # 头条，先不做
                    video_list = download_videos[:3]
                case _:
                    video_list = download_videos[:3]

            # 将视频发布至票圈
            await publish_videos_to_piaoquan(
                video_list=video_list,
                kimi_title=kimi_title,
                process_times=process_times,
                trace_id=trace_id,
                db_client=self.long_articles_client,
                article_match_video_table=self.article_match_video_table
            )

        except Exception as e:
            await self.roll_back_content_status_when_fails(
                process_times=params['process_times'] + 1,
                trace_id=params['trace_id']
            )
            print(e)

    async def start_process(self, params):
        """
        处理单篇文章
        :param params:
        :return:
        """
        kimi_result = await self.kimi_task(params)
        trace_id = params['trace_id']
        process_times = params['process_times']
        content_id = params['content_id']
        publish_flag = params['publish_flag']
        if kimi_result:
            # 等待 kimi 操作执行完成之后，开始执行 spider_task
            print("kimi success")
            logging(
                code=3001,
                info="kimi success",
                trace_id=trace_id
            )
            spider_flag = await self.spider_task(params=params, kimi_result=kimi_result)
            if spider_flag:
                # 等待爬虫执行完成后，开始执行 etl_task
                print("spider success")
                logging(
                    code=3002,
                    info="spider_success",
                    trace_id=trace_id
                )
                etl_flag = await self.etl_task(params)
                if etl_flag:
                    # 等待下载上传完成，执行发布任务
                    print("etl success")
                    logging(
                        code="3003",
                        info="etl_success",
                        trace_id=trace_id
                    )
                    """
                    todo 若新建计划，计划为设置托管，但接入账号又在配置账号中，仍会走托管逻辑，需考虑历史存量的处理
                    目前先对这两种情况都做托管操作
                    """
                    if publish_flag == NewContentIdTaskConst.DO_NOT_NEED_PUBLISH:
                        logging(
                            code="3013",
                            info="不需要发布，长文系统托管发布",
                            trace_id=trace_id
                        )
                        return
                    else:
                        try:
                            await self.publish_task(params, kimi_result['kimi_title'])
                            logging(
                                code="3004",
                                info="publish_success",
                                trace_id=trace_id
                            )
                            await record_trace_id(
                                trace_id=trace_id,
                                status=NewContentIdTaskConst.RECORD_SUCCESS_TRACE_ID_CODE
                            )
                        except Exception as e:
                            logging(
                                code="6004",
                                info="publish 失败--{}".format(e),
                                trace_id=params['trace_id']
                            )
                else:
                    logging(
                        code="6003",
                        info="ETL 处理失败",
                        trace_id=params['trace_id']
                    )
            else:
                logging(
                    code="6002",
                    info="爬虫处理失败",
                    trace_id=params['trace_id']
                )
        else:
            logging(
                code="6001",
                info="kimi 处理失败",
                trace_id=trace_id
            )
            if process_times >= NewContentIdTaskConst.TASK_MAX_PROCESS_TIMES:
                logging(
                    code="6011",
                    info="kimi处理次数达到上限， 放弃处理",
                    trace_id=trace_id
                )
                # 将相同的content_id && content_status = 0的状态修改为kimi 失败状态
                update_sql = f"""
                    UPDATE {self.article_match_video_table}
                    SET content_status = %s
                    WHERE content_id = %s and content_status = %s;
                """
                affected_rows = await self.long_articles_client.async_insert(
                    sql=update_sql,
                    params=(
                        NewContentIdTaskConst.KIMI_ILLEGAL_STATUS,
                        content_id,
                        NewContentIdTaskConst.TASK_INIT_STATUS
                    )
                )
                # 查询出该content_id所对应的标题
                select_sql = f"""
                    SELECT article_title
                    FROM {self.article_text_table}
                    WHERE content_id = '{content_id}';
                """
                result = await self.long_articles_client.async_select(select_sql)
                bot(
                    title="KIMI 处理失败",
                    detail={
                        "content_id": content_id,
                        "affected_rows": affected_rows,
                        "article_title": result[0][0]
                    },
                    mention=False
                )

    async def process_each_task(self, params):
        """
        处理任务
        :return:
        """
        content_id = params['content_id']
        flow_pool_level = params['flow_pool_level']

        download_videos_exists_flag = await whether_downloaded_videos_exists(
            content_id=content_id,
            article_crawler_video_table=self.article_crawler_video_table,
            db_client=self.long_articles_client
        )
        if not download_videos_exists_flag:
            processing_flag = await self.judge_whether_same_content_id_is_processing(content_id)
            if processing_flag:
                logging(
                    code="9001",
                    info="该 content id 正在处理中， 跳过此任务--{}".format(content_id)
                )
            else:
                # 判断是否存在root_content_id
                if flow_pool_level != 'autoArticlePoolLevel4':
                    # 如果查到根content_id, 采用根content_id的视频
                    root_content_id = await self.get_source_content_id(content_id)
                    if root_content_id:
                        # 传参新增root_content_id
                        params['root_content_id'] = root_content_id
                # 开始处理
                await self.start_process(params=params)
        else:
            print("存在已下载视频")

    async def deal(self) -> None:
        """
        function
        :return:
        """
        # 处理未托管的任务
        # await self.roll_back_unfinished_tasks(publish_flag=NewContentIdTaskConst.NEED_PUBLISH)

        # 处理托管任务
        # await self.roll_back_unfinished_tasks(publish_flag=NewContentIdTaskConst.DO_NOT_NEED_PUBLISH)

        # 将处理次数大于3次且未成功的任务置为失败
        # await self.set_tasks_status_fail()

        # 获取task_list
        task_list = await self.get_tasks()
        task_dict = {task['content_id']: task for task in task_list}
        process_list = list(task_dict.values())
        logging(
            code="5001",
            info="Match Task Got {} this time".format(len(process_list)),
            function="Publish Task"
        )

        # 处理process_list
        if process_list:
            a = time.time()
            tasks = [self.process_each_task(params) for params in process_list]
            await asyncio.gather(*tasks)
            b = time.time()
            print("处理时间: {} s".format(b - a))
        else:
            logging(
                code="9008",
                info="没有要处理的请求"
            )