Upload 02CommonConcern

02CommonConcern20to50/2.py

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+import sqlite3
+import pandas as pd
+import os
+from datetime import datetime
+import json
+
+def process_following_data(source_db_path, target_db_path, min_followers=20, max_followers=50):
+    """
+    处理关注者数据，筛选出符合条件的用户并保存到新数据库
+    """
+    if not os.path.exists(source_db_path):
+        raise FileNotFoundError(f"找不到数据库文件: {source_db_path}")
+    
+    conn = sqlite3.connect(source_db_path)
+    
+    print("正在读取关注关系数据...")
+    df_relationships = pd.read_sql_query("""
+        SELECT user_id, following_of
+        FROM following_relationships
+    """, conn)
+    
+    print("正在统计关注者数量...")
+    grouped = (
+        df_relationships
+        .groupby('user_id')['following_of']
+        .agg(lambda x: list(set(x)))
+        .reset_index()
+    )
+    grouped['follower_count'] = grouped['following_of'].apply(len)
+    
+    filtered = grouped[
+        (grouped['follower_count'] >= min_followers) & 
+        (grouped['follower_count'] <= max_followers)
+    ]
+    
+    print("正在获取用户详细信息...")
+    target_users = tuple(filtered['user_id'].tolist())
+    
+    if not target_users:
+        print("没有找到符合条件的用户")
+        conn.close()
+        return 0
+    
+    # 将列表转换为字符串
+    filtered['following_of'] = filtered['following_of'].apply(json.dumps)
+    
+    users_df = pd.read_sql_query("""
+        SELECT *
+        FROM users
+        WHERE user_id IN ({})
+    """.format(','.join(['?' for _ in target_users])), conn, params=target_users)
+    
+    # 合并数据，只保留需要的列
+    result_df = pd.merge(
+        users_df,
+        filtered[['user_id', 'follower_count']],
+        on='user_id',
+        how='inner'
+    )
+    
+    print(f"正在保存符合条件的 {len(result_df)} 个用户信息到新数据库...")
+    
+    # 保存到新数据库
+    target_conn = sqlite3.connect(target_db_path)
+    
+    # 确保删除following_of列（如果存在），因为我们会在单独的表中存储它
+    if 'following_of' in result_df.columns:
+        result_df = result_df.drop('following_of', axis=1)
+    
+    # 创建主表
+    result_df.to_sql('users', target_conn, index=False, if_exists='replace')
+    
+    # 创建索引
+    target_conn.execute("CREATE INDEX IF NOT EXISTS idx_user_id ON users(user_id)")
+    target_conn.execute("CREATE INDEX IF NOT EXISTS idx_followers_count ON users(followers_count)")
+    
+    # 创建并填充关注者表
+    target_conn.execute("""
+        CREATE TABLE IF NOT EXISTS user_followers (
+            user_id TEXT PRIMARY KEY,
+            followers TEXT,
+            follower_count INTEGER,
+            FOREIGN KEY(user_id) REFERENCES users(user_id)
+        )
+    """)
+    
+    # 准备关注者数据
+    followers_data = filtered[['user_id', 'following_of', 'follower_count']]
+    followers_data.to_sql('user_followers', target_conn, index=False, if_exists='replace')
+    
+    # 打印预览
+    print("\n符合条件的用户数据预览：")
+    preview_df = result_df[['user_id', 'name', 'followers_count', 'friends_count']].head()
+    print(preview_df)
+    
+    conn.close()
+    target_conn.close()
+    
+    return len(result_df)
+
+if __name__ == "__main__":
+    # 设置数据库路径
+    source_db = "following_expanded.db"
+    target_db = f"filtered_users_{datetime.now().strftime('%Y%m%d_%H%M%S')}.db"
+    
+    try:
+        result_count = process_following_data(source_db, target_db)
+        print(f"\n处理完成！已将 {result_count} 个用户的信息保存到 {target_db}")
+    except Exception as e:
+        print(f"处理过程中出现错误: {str(e)}")
+        # 打印详细的错误跟踪信息
+        import traceback
+        print("\n详细错误信息:")
+        print(traceback.format_exc())

02CommonConcern20to50/requirements.txt

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+requests>=2.25.0
+urllib3>=2.0.0
+typing>=3.7.4
+sqlite3-api>=2.0.0

02CommonConcern20to50/result/filtered_users.db

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+version https://git-lfs.github.com/spec/v1
+oid sha256:297b29029aaf2b55c5018c0e115d0e7677bf0bc38ebe531248be56af0e344f34
+size 3432448