删除无用代码

tasks/__init__.py

@@ -1,3 +0,0 @@
-"""
-@author: luojunhui
-"""

tasks/task6.py

@@ -1,80 +0,0 @@
-"""
-@author: luojunhui
-计算账号的阅读均值倍数
-"""
-import json
-import pandas as pd
-from pandas import DataFrame
-from tqdm import tqdm
-from applications import DeNetMysql
-from applications import AIDTApi
-
-D = DeNetMysql()
-
-
-def get_account_avg():
-    """
-    获取账号
-    :return:
-    """
-    # with open("/Users/luojunhui/cyber/LongArticlesJob/dev/军事历史.json", encoding="utf-8") as f:
-    #     avg_dict = json.loads(f.read())
-    #
-    # account_position_list = list(avg_dict.keys())
-    # L = []
-    # for account in tqdm(account_position_list):
-    #     gh_id = account[:-2]
-    #     index = int(account[-1:])
-    #     select_sql = f"""
-    #     select title, read_cnt, link from crawler_meta_article
-    #     where out_account_id = '{gh_id}' and article_index = {index} and status = 1;
-    #     """
-    #     result_list = D.select(select_sql)
-    #     try:
-    #         avg_read = avg_dict[account]['readAvg']
-    #         for i in result_list:
-    #             title, read_cnt, link = i
-    #             avg_score = read_cnt / avg_read
-    #             temp = [title, link, read_cnt, avg_score, avg_read, avg_dict[account]['category']]
-    #             L.append(temp)
-    #     except:
-    #         continue
-    #
-    # sl = sorted(L, reverse=True, key=lambda x: x[3])
-    # a = 0
-    # b = 0
-    # LL = []
-    # for line in sl:
-    #     title = line[0]
-    #     read_cnt = line[2]
-    #     if "农历" in title or '太极' in title or "节" in title or line[3] < 1.3 or len(title) < 15 or read_cnt < 5000:
-    #         a += 1
-    #         continue
-    #     else:
-    #         b += 1
-    #         print(line)
-    #         LL.append(line)
-    # print(a)
-    # print(b)
-    # df = DataFrame(LL, columns=["title", "link", "read", "read_avg_times", "read_avg", "category"])
-    # df.to_excel("historyArmy.xlsx", index=False)
-    # url_list = [i[1] for i in LL[3:]]
-    dataFrame = pd.read_excel("historyArmy.xlsx")
-    print(dataFrame.columns.values.tolist())
-    url_list = []
-    for line in dataFrame.values.tolist():
-        if line[-1] == '历史':
-            url_list.append(line[1])
-    print(len(url_list))
-    try:
-        AIDTApi().updateArticleIntoCrawlerPlan(
-            plan_id=None,
-            plan_name="历史冷启-0905-new",
-            plan_tag="autoArticlePoolLevel1",
-            url_list=url_list
-        )
-    except Exception as e:
-        print("error--{}".format(e))
-
-
-get_account_avg()