爬虫结束自动打标注

@@ -2,6 +2,7 @@ import os
 from sqlalchemy import create_engine
 from sqlalchemy import create_engine
 import pandas as pd
 import pandas as pd
 from spiderDataPackage.settings import articleAddr,commentsAddr
 from spiderDataPackage.settings import articleAddr,commentsAddr
+from model.topicDefine import *
 
 
 engine = create_engine('mysql+pymysql://XiaoXueQi:XiaoXueQi@47.92.235.6/Weibo_PublicOpinion_AnalysisSystem?charset=utf8mb4')
 engine = create_engine('mysql+pymysql://XiaoXueQi:XiaoXueQi@47.92.235.6/Weibo_PublicOpinion_AnalysisSystem?charset=utf8mb4')
 
 
@@ -28,6 +29,7 @@ def saveData():
 
 
     os.remove(articleAddr)
     os.remove(articleAddr)
     os.remove(commentsAddr)
     os.remove(commentsAddr)
+    update_data()
 
 
 if __name__ == '__main__':
 if __name__ == '__main__':
     saveData()
     saveData()

 from utils.getPublicData import *
 from utils.getPublicData import *
+from utils.predict import *
 articleList = getAllArticleData()
 articleList = getAllArticleData()
 commentList = getAllCommentsData()
 commentList = getAllCommentsData()
 import csv
 import csv
@@ -53,7 +54,7 @@ def getTopicData():
     yData = top_10_topics['value'].tolist()
     yData = top_10_topics['value'].tolist()
     return xData, yData
     return xData, yData
 
 
-def getTopicPageCreatedAtCharData(topic):# 统计特定话题的评论在每个日期的数量，并返回日期和对应的评论数量
+def getTopicCreatedAtandpredictData(topic):# 统计特定话题的评论在每个日期的数量，并返回日期和对应的评论数量
     createdAt = {}
     createdAt = {}
     for i in articleList:
     for i in articleList:
         if i[14]==topic:
         if i[14]==topic:
@@ -67,6 +68,10 @@ def getTopicPageCreatedAtCharData(topic):# 统计特定话题的评论在每个
                 createdAt[i[1]] += 1
                 createdAt[i[1]] += 1
             else:
             else:
                 createdAt[i[1]] = 1
                 createdAt[i[1]] = 1
+    createdAt = {k: createdAt[k] for k in sorted(createdAt, key=lambda date: datetime.datetime.strptime(date, "%Y-%m-%d"))}
+    print(createdAt)
+    createdAt.update(predict_future_values(createdAt))
+    print(createdAt)
     sorted_data = {k: createdAt[k] for k in sorted(createdAt, key=lambda date: datetime.datetime.strptime(date, "%Y-%m-%d"))}
     sorted_data = {k: createdAt[k] for k in sorted(createdAt, key=lambda date: datetime.datetime.strptime(date, "%Y-%m-%d"))}
     return topic,sorted_data
     return topic,sorted_data
     # return topic,list(createdAt.keys()),list(createdAt.values())
     # return topic,list(createdAt.keys()),list(createdAt.values())
@@ -90,4 +95,4 @@ if __name__ == '__main__':
     # 将话题数据写入 CSV 文件
     # 将话题数据写入 CSV 文件
     # merged_topics = mergeTopics(getTopicByArticle(), getTopicByComments())
     # merged_topics = mergeTopics(getTopicByArticle(), getTopicByComments())
     # writeTopicsToCSV(merged_topics, 'merged_topics.csv')
     # writeTopicsToCSV(merged_topics, 'merged_topics.csv')
-    print(getTopicPageCreatedAtCharData("生活"))
+    print(getTopicCreatedAtandpredictData("生活"))