LongArticlesJob/tasks/task2.py

"""
@author: luojunhui
"""
import datetime
import json

from tqdm import tqdm

from applications import AIDTApi, DeNetMysql, PQMySQL, Functions
from config import poolLevelConfig, cateMap, coldPoolArticlesNum, accountBaseInfo


class ColdStartTask(object):
    """
    冷启分配任务
    """
    AidApi = AIDTApi()
    DeMysql = DeNetMysql()
    PqMysql = PQMySQL()
    Fun = Functions()
    pool3 = poolLevelConfig['3']

    @classmethod
    def generate_account_dict(cls):
        """
        生成account_list
        :return:
        """
        account_dict = {}
        for key in accountBaseInfo:
            account_name = accountBaseInfo[key]['accountName']
            account_gh_id = accountBaseInfo[key]['ghId']
            account_dict[account_name] = account_gh_id
        return account_dict

    @classmethod
    def getTopArticles(cls, category, limit_count):
        """
        获取高分享的文章list
        :return:
        """
        sql = f"""
            select content_channel_id, content_link, title 
            from cold_start_article_pool
            where category = '{category}'
            order by view_count DESC, publish_time_stamp DESC
            limit {limit_count};
        """
        result = cls.PqMysql.select(sql)
        return result

    @classmethod
    def getAccountScoreList(cls, title_list, account_name):
        """
        预分配文章给不同的账号
        :return:
        """
        score_list = cls.Fun.getTitleScore(title_list=title_list, account_name=account_name)[account_name]['score_list']
        return score_list

    @classmethod
    def splitToAccount(cls, obj_list):
        """
        split articles to each account
        :return:
        """
        account_dict = cls.generate_account_dict()
        account_list = list(account_dict.keys())
        title_list = [i['title'] for i in obj_list]
        for account in tqdm(account_list):
            score_list = cls.getAccountScoreList(title_list=title_list, account_name=account)
            L = []
            for index, score in enumerate(score_list):
                L.append((obj_list[index]['id'], score))
            SL = sorted(L, key=lambda x: x[1], reverse=True)
            gh_id = account_dict[account]
            date_str = datetime.datetime.today().strftime("%Y-%m-%d")
            insert_sql = f"""
            INSERT INTO article_pre_distribute_account
            (gh_id, date, article_list)
            VALUES 
            (%s, %s, %s);
            """
            try:
                PQMySQL.update(sql=insert_sql, params=(gh_id, date_str, json.dumps(SL[:30], ensure_ascii=False)))
            except Exception as e:
                print("插入出现问题----{}".format(e))

        print("成功更新完成")

    @classmethod
    def findArticlesDaily(cls):
        """
        和每个账号计算相关性分数
        :return:
        """
        category_list = [
            "军事政法",
            "健康养生",
            "宗教历史",
            "情感生活",
            "娱乐八卦",
            "新闻媒体"
        ]
        L = []
        for category in tqdm(category_list):
            print("{} is processing......".format(category))
            limit_count = coldPoolArticlesNum * cateMap.get(category, 0.1)
            article_tuple = cls.getTopArticles(category, int(limit_count))
            title_list = [article[2] for article in article_tuple]
            score_list = cls.Fun.getTitleScore(title_list, "指尖奇文")['指尖奇文']['score_list']
            for index, score in enumerate(score_list):
                obj = {
                    "id": article_tuple[index][0],
                    "url": article_tuple[index][1],
                    "title": article_tuple[index][2],
                    "cate": category,
                    "score": score
                }
                L.append(obj)
        result = [i for i in L if i['score'] >= 0.35]
        return result

    @classmethod
    def sendToColdPool(cls, plan_id, plan_name, plan_tag):
        """
        把文章send至第四层
        :return:
        """
        # 获取6个品类的数据
        target_article_list = cls.findArticlesDaily()
        # 预分配账号
        cls.splitToAccount(target_article_list)

        # 再加一次配比，每个品类的数量占比
        cls.AidApi.updateArticleIntoCrawlerPlan(
            plan_id=plan_id,
            plan_name=plan_name,
            plan_tag=plan_tag,
            url_list=[i['url'] for i in target_article_list]
        )


if __name__ == '__main__':
    CST = ColdStartTask()
    CST.sendToColdPool(
        plan_id=None,
        plan_name="冷启池子--0729--Monday--分品类抓取--6个品类",
        plan_tag="autoArticlePoolLevel1",
    )