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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()) |