Modify the database hardcoding to switch to command-line interactive database connection.

@@ -12,3 +12,4 @@ model2/*
 *.pyz
 *.pyz
 *.pywz
 *.pywz
 .vscode
 .vscode
+.VSCodeCounter

 import os
 import os
-from sqlalchemy import create_engine
 import pandas as pd
 import pandas as pd
-from spiderDataPackage.settings import articleAddr,commentsAddr
-# from ..model.topicDefine import *
+from sqlalchemy import create_engine
+from getpass import getpass
+import logging
+
+# 配置日志
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s [%(levelname)s] %(message)s',
+    handlers=[
+        logging.FileHandler("save_data.log"),
+        logging.StreamHandler()
+    ]
+)
 
 
-engine = create_engine('mysql+pymysql://XiaoXueQi:XiaoXueQi@47.92.235.6/Weibo_PublicOpinion_AnalysisSystem?charset=utf8mb4')
+# 假设 articleAddr 和 commentsAddr 是绝对路径或相对于脚本的路径
+from spiderDataPackage.settings import articleAddr, commentsAddr
 
 
-def saveData():
+def get_db_connection_interactive():
+    """
+    通过终端交互获取数据库连接参数，若按回车则使用默认值。
+    返回 SQLAlchemy 的数据库引擎。
+    """
+    print("请依次输入数据库连接信息（直接按回车使用默认值）：")
+    
+    host = input(" 1. 主机 (默认: localhost): ") or "localhost"
+    port_str = input(" 2. 端口 (默认: 3306): ") or "3306"
     try:
     try:
-        oldArticle = pd.read_sql('select * from article',engine)
+        port = int(port_str)
+    except ValueError:
+        logging.warning("端口号无效，使用默认端口 3306。")
+        port = 3306
+    
+    user = input(" 3. 用户名 (默认: root): ") or "root"
+    password = getpass(" 4. 密码 (默认: 12345678): ") or "12345678"
+    db_name = input(" 5. 数据库名 (默认: Weibo_PublicOpinion_AnalysisSystem): ") or "Weibo_PublicOpinion_AnalysisSystem"
+    
+    # 构建数据库连接字符串
+    connection_str = f"mysql+pymysql://{user}:{password}@{host}:{port}/{db_name}?charset=utf8mb4"
+    
+    try:
+        engine = create_engine(connection_str)
+        # 测试连接
+        with engine.connect() as connection:
+            logging.info(f"成功连接到数据库: {user}@{host}:{port}/{db_name}")
+        return engine
+    except Exception as e:
+        logging.error(f"无法连接到数据库: {e}")
+        exit(1)
+
+def saveData(engine):
+    """
+    从数据库和CSV文件读取数据，合并后去重并保存回数据库。
+    最后删除CSV文件。
+    """
+    try:
+        # 读取旧数据
+        oldArticle = pd.read_sql('SELECT * FROM article', engine)
+        oldComment = pd.read_sql('SELECT * FROM comments', engine)
+        logging.info("成功从数据库读取旧的文章和评论数据。")
+        
+        # 读取新数据
         newArticle = pd.read_csv(articleAddr)
         newArticle = pd.read_csv(articleAddr)
-        oldComment = pd.read_sql('select * from comments',engine)
         newComment = pd.read_csv(commentsAddr)
         newComment = pd.read_csv(commentsAddr)
+        logging.info("成功从CSV文件读取新的文章和评论数据。")
         
         
-        mergeArticle = pd.concat([newArticle,oldArticle],join='inner')
-        mergeComment = pd.concat([newComment,oldComment],join='inner')
+        # 合并数据
+        mergeArticle = pd.concat([newArticle, oldArticle], ignore_index=True, sort=False)
+        mergeComment = pd.concat([newComment, oldComment], ignore_index=True, sort=False)
+        logging.info("成功合并新旧文章和评论数据。")
         
         
-        mergeArticle.drop_duplicates(subset='id',keep='last',inplace=True)
-        mergeComment.drop_duplicates(subset='content',keep='last',inplace=True)
+        # 去重
+        mergeArticle.drop_duplicates(subset='id', keep='last', inplace=True)
+        mergeComment.drop_duplicates(subset='content', keep='last', inplace=True)
+        logging.info("成功去除重复的文章和评论数据。")
         
         
+        # 保存回数据库
         mergeArticle.to_sql('article', con=engine, if_exists='replace', index=False)
         mergeArticle.to_sql('article', con=engine, if_exists='replace', index=False)
         mergeComment.to_sql('comments', con=engine, if_exists='replace', index=False)
         mergeComment.to_sql('comments', con=engine, if_exists='replace', index=False)
-    except:
-        newArticle = pd.read_csv(articleAddr)
-        newComment = pd.read_csv(commentsAddr)
-        newArticle.to_sql('article',con=engine,if_exists='replace',index=False)
-        newComment.to_sql('comments',con=engine,if_exists='replace',index=False)
+        logging.info("成功将合并后的数据保存回数据库。")
         
         
+    except pd.errors.EmptyDataError as e:
+        logging.error(f"读取CSV文件时出错: {e}")
+    except Exception as e:
+        logging.error(f"保存数据时出错: {e}")
+    else:
+        # 删除CSV文件
+        try:
             os.remove(articleAddr)
             os.remove(articleAddr)
             os.remove(commentsAddr)
             os.remove(commentsAddr)
-    # update_data()
+            logging.info("成功删除CSV文件。")
+        except Exception as e:
+            logging.warning(f"删除CSV文件时出错: {e}")
+
+def main():
+    # 获取数据库连接
+    engine = get_db_connection_interactive()
+    
+    # 保存数据
+    saveData(engine)
+    
+    # 关闭引擎（可选，因为SQLAlchemy引擎会自动管理连接池）
+    engine.dispose()
+    logging.info("数据库连接已关闭。")
 
 
 if __name__ == '__main__':
 if __name__ == '__main__':
-    saveData()
+    main()

-from pymysql import *
-conn = connect(host='47.92.235.6',port=3306,user='XiaoXueQi',password='XiaoXueQi',database='Weibo_PublicOpinion_AnalysisSystem')
+import getpass
+import pymysql
+import logging
+
+# 配置日志
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s [%(levelname)s] %(message)s',
+    handlers=[
+        logging.FileHandler("database_operations.log"),
+        logging.StreamHandler()
+    ]
+)
+
+def get_db_connection_interactive():
+    """
+    通过终端交互获取数据库连接参数，若按回车则使用默认值。
+    返回一个连接对象。
+    """
+    print("请依次输入数据库连接信息（直接按回车使用默认值）：")
+    
+    host = input(" 1. 主机 (默认: localhost): ") or "localhost"
+    port_str = input(" 2. 端口 (默认: 3306): ") or "3306"
+    try:
+        port = int(port_str)
+    except ValueError:
+        logging.warning("端口号无效，使用默认端口 3306。")
+        port = 3306
+    
+    user = input(" 3. 用户名 (默认: root): ") or "root"
+    password = getpass.getpass(" 4. 密码 (默认: 312517): ") or "312517"
+    db_name = input(" 5. 数据库名 (默认: Weibo_PublicOpinion_AnalysisSystem): ") or "Weibo_PublicOpinion_AnalysisSystem"
+    
+    logging.info(f"尝试连接到数据库: {user}@{host}:{port}/{db_name}")
+    
+    try:
+        connection = pymysql.connect(
+            host=host,
+            port=port,
+            user=user,
+            password=password,
+            database=db_name,
+            charset='utf8mb4',
+            cursorclass=pymysql.cursors.DictCursor  # 返回字典格式
+        )
+        logging.info("数据库连接成功。")
+        return connection
+    except pymysql.MySQLError as e:
+        logging.error(f"数据库连接失败: {e}")
+        exit(1)
+
+# 获取数据库连接
+conn = get_db_connection_interactive()
+
+# 获取游标
 cursor = conn.cursor()
 cursor = conn.cursor()
-def query(sql,params,type="no_select"):
+
+def query(sql, params=None, query_type="no_select"):
+    """
+    执行SQL查询或操作。
+    
+    :param sql: SQL语句
+    :param params: SQL参数（可选）
+    :param query_type: 查询类型，默认为 "no_select"
+                       如果不是 "no_select"，则执行 fetch 操作
+    :return: 如果是查询操作，返回数据列表；否则返回 None
+    """
+    try:
+        if params:
             params = tuple(params)
             params = tuple(params)
-    cursor.execute(sql,params)
+            cursor.execute(sql, params)
+        else:
+            cursor.execute(sql)
+        
+        # 确保连接保持活跃
         conn.ping(reconnect=True)
         conn.ping(reconnect=True)
-    if type != 'no_select':
+        
+        if query_type != "no_select":
             data_list = cursor.fetchall()
             data_list = cursor.fetchall()
             conn.commit()
             conn.commit()
+            logging.info("查询成功，已获取数据。")
             return data_list
             return data_list
         else:
         else:
             conn.commit()
             conn.commit()
+            logging.info("操作成功，已提交事务。")
+    except pymysql.MySQLError as e:
+        logging.error(f"执行SQL时出错: {e}")
+        conn.rollback()
+        return None
+
+def main():
+    # 示例用法
+    
+    # 执行查询操作
+    select_sql = "SELECT * FROM article LIMIT 5"
+    articles = query(select_sql, query_type="select")
+    if articles:
+        for article in articles:
+            print(article)
+    
+    # 执行插入操作（根据实际表结构修改）
+    insert_sql = "INSERT INTO article (id, content) VALUES (%s, %s)"
+    new_article = (12345, "这是一条新的文章内容。")
+    result = query(insert_sql, params=new_article, query_type="no_select")
+    if result is None:
+        logging.info("插入操作完成。")
+    
+    # 关闭游标和连接
+    cursor.close()
+    conn.close()
+    logging.info("数据库连接已关闭。")
+
+if __name__ == '__main__':
+    main()

+import os
 import jieba
 import jieba
 from wordcloud import WordCloud
 from wordcloud import WordCloud
 import matplotlib.pyplot as plt
 import matplotlib.pyplot as plt
-from PIL import Image,ImageDraw
-from pymysql import *
-import json
+from PIL import Image
 import numpy as np
 import numpy as np
-def stopWordList():
-    return [line.strip() for line in open('./model/stopWords.txt',encoding='utf8').readlines()]
-
-def get_img(field,tableName,targetImgSrc,resImgSrc):
-    con = connect(host='47.92.235.6',user='XiaoXueQi',password='XiaoXueQi',database='Weibo_PublicOpinion_AnalysisSystem',port=3306,charset='utf8mb4')
-    cuser = con.cursor()
-    sql = f'select {field} from {tableName}'
-    cuser.execute(sql)
-    data = cuser.fetchall()
-    text = ''
-    for item in data:
-        text += item[0]
-    cuser.close()
-    con.close()
+import pymysql
 
 
-    cut = jieba.cut(text)
-    newCut = []
-    for word in cut:
-        if word not in stopWordList():newCut.append(word)
-    string = ' '.join(newCut)
+def stopWordList():
+    """
+    如果 stopWords.txt 文件内容较大，或被频繁读取，
+    可以考虑将其缓存起来，避免重复读文件。
+    """
+    with open('./model/stopWords.txt', encoding='utf8') as f:
+        return [line.strip() for line in f.readlines()]
 
 
-    img = Image.open(targetImgSrc)
+def generate_word_cloud(text, mask_path, font_path, output_path):
+    """生成词云并保存到 output_path"""
+    img = Image.open(mask_path)
     img_arr = np.array(img)
     img_arr = np.array(img)
+
     wc = WordCloud(
     wc = WordCloud(
         background_color="#fff",
         background_color="#fff",
         mask=img_arr,
         mask=img_arr,
-        font_path='STHUPO.TTF'
+        font_path=font_path
     )
     )
-    wc.generate_from_text(string)
-
-    fig = plt.figure(1)
-    plt.imshow(wc)
+    wc.generate_from_text(text)
 
 
+    plt.figure(figsize=(8, 6))
+    plt.imshow(wc, interpolation='bilinear')
     plt.axis('off')
     plt.axis('off')
+    plt.savefig(output_path, dpi=300, bbox_inches='tight')
+    plt.close()  # 保存后关闭
+
+def get_db_connection_interactive():
+    """
+    通过终端交互获取数据库连接参数，若按回车则使用默认值。
+    """
+    print("请依次输入数据库连接信息（直接按回车使用默认值）：")
+
+    host = input(" 1. 主机 (默认: localhost): ") or "localhost"
+    port_str = input(" 2. 端口 (默认: 3306): ") or "3306"
+    port = int(port_str)
+
+    user = input(" 3. 用户名 (默认: root): ") or "root"
+    password = input(" 4. 密码 (默认: 312517): ") or "12345678"
+    db_name = input(" 5. 数据库名 (默认: Weibo_PublicOpinion_AnalysisSystem): ") or "Weibo_PublicOpinion_AnalysisSystem"
+
+    print(f"\n即将连接到数据库: {user}@{host}:{port}/{db_name}\n")
     
     
-    plt.savefig(resImgSrc,dpi=500)
+    return pymysql.connect(
+        host=host,
+        user=user,
+        password=password,
+        database=db_name,
+        port=port,
+        charset='utf8mb4'
+    )
+
+def get_img(field, table_name, target_img_src, res_img_src, connection, font_path='STHUPO.TTF'):
+    """ 
+    从数据库拉取指定字段的文本数据，分词处理后生成词云。
+    :param field: 数据库字段名
+    :param table_name: 数据表名
+    :param target_img_src: 词云形状图
+    :param res_img_src: 输出词云文件路径
+    :param connection: 已建立的数据库连接
+    :param font_path: 字体文件路径
+    """
+    cursor = connection.cursor()
+    sql = f'SELECT {field} FROM {table_name}'
+    cursor.execute(sql)
+    data = cursor.fetchall()
+
+    text = ''
+    for item in data:
+        text += item[0]  # item 是元组 (内容,)，取第一个元素即可
 
 
+    cursor.close()
+
+    # 分词 & 去停用词
+    cut_words = jieba.cut(text)
+    stop_words = set(stopWordList())
+    filtered_words = [word for word in cut_words if word not in stop_words]
+    final_text = ' '.join(filtered_words)
+
+    # 生成词云
+    generate_word_cloud(final_text, target_img_src, font_path, res_img_src)
+
+def main():
+    # 1. 获取数据库连接（交互式输入）
+    connection = get_db_connection_interactive()
+
+    # 2. 根据需求生成词云
+    # 例如：从 article 表的 content 字段生成词云
+    try:
+        get_img(
+            field='content', 
+            table_name='article', 
+            target_img_src='./static/content.jpg', 
+            res_img_src='./static/contentCloud.jpg', 
+            connection=connection
+        )
+        print("词云生成完毕！")
+    finally:
+        # 关闭数据库连接
+        connection.close()
 
 
-# get_img('content','comments','./static/comment.jpg','./static/commentCloud.jpg')
-get_img('content','article','./static/content.jpg','./static/contentCloud.jpg')
+if __name__ == '__main__':
+    main()