#!/usr/bin/env python # -*- coding: utf-8 -*- import os import sqlite3 import csv import sys # CSV文件路径 csv_file = '/root/autodl-tmp/TravelContentCreator/output/5.15.csv' # 数据库路径 db_path = '/root/autodl-tmp/TravelContentCreator/distribution.db' def main(): # 检查CSV文件是否存在 if not os.path.exists(csv_file): print(f"错误: CSV文件不存在: {csv_file}") return False # 连接数据库 try: conn = sqlite3.connect(db_path) conn.execute("PRAGMA foreign_keys = OFF") # 禁用外键约束,避免可能的导入问题 cursor = conn.cursor() print(f"已连接到数据库: {db_path}") # 检查数据库表结构,确保xhs_user_id字段存在 print("检查数据库表结构...") cursor.execute("PRAGMA table_info(users)") columns = {col[1] for col in cursor.fetchall()} if 'xhs_user_id' not in columns: print("错误: 数据库users表中不存在xhs_user_id字段") print("请先运行 fix_database.py 脚本修复数据库结构") return False print(f"当前用户表字段: {', '.join(columns)}") # 清除所有历史用户数据 clear_users = input("是否清除所有历史用户数据? (y/n): ").strip().lower() if clear_users == 'y': try: # 先检查是否有关联的分发记录 cursor.execute("SELECT COUNT(*) FROM distributions") distribution_count = cursor.fetchone()[0] if distribution_count > 0: confirm_delete = input(f"警告: 数据库中有 {distribution_count} 条分发记录与用户关联,确定要删除所有用户吗? (y/n): ").strip().lower() if confirm_delete != 'y': print("取消清除用户数据") return False # 清除所有用户数据 cursor.execute("DELETE FROM users") conn.commit() print(f"已清除所有历史用户数据") except sqlite3.Error as e: print(f"清除用户数据时出错: {e}") conn.rollback() return False # 检查数据库中已存在的小红书User码 cursor.execute("SELECT xhs_user_id FROM users WHERE xhs_user_id IS NOT NULL") existing_user_ids = set(row[0] for row in cursor.fetchall() if row[0]) print(f"数据库中已有 {len(existing_user_ids)} 个带有小红书User码的用户") except sqlite3.Error as e: print(f"数据库连接错误: {e}") return False # 计数器 success_count = 0 skip_count = 0 error_count = 0 update_count = 0 # 记录失败和跳过的条目 failed_entries = [] skipped_entries = [] # 读取CSV文件并导入数据 try: with open(csv_file, 'r', encoding='utf-8') as f: reader = csv.reader(f) # 跳过标题行 headers = next(reader) print(f"CSV文件标题: {headers}") for row_num, row in enumerate(reader, 2): # 从2开始计数,因为第1行是标题 if len(row) >= 4: # 确保行至少有4列 try: # 从CSV提取数据 (小红书User码, 小红书ID, 粉丝数, 邮箱) xhs_user_id, username, fans, email = row # 如果邮箱为空,跳过 if not email: skip_info = f"邮箱为空" skipped_entries.append((row_num, row, skip_info)) print(f"警告: 跳过无邮箱用户: {username} (行 {row_num})") skip_count += 1 continue # 确保邮箱格式正确 if '@' not in email: error_info = f"无效邮箱格式" failed_entries.append((row_num, row, error_info)) print(f"警告: 跳过无效邮箱: {email} (行 {row_num})") error_count += 1 continue # 检查小红书User码是否有效 if not xhs_user_id: error_info = f"小红书User码为空" failed_entries.append((row_num, row, error_info)) print(f"警告: 小红书User码为空: {email} (行 {row_num})") error_count += 1 continue # 检查小红书User码是否已存在,如果存在则更新信息 if xhs_user_id in existing_user_ids: print(f"用户User码已存在,将更新: {xhs_user_id} -> {username}, {email}") cursor.execute(""" UPDATE users SET username = ?, email = ? WHERE xhs_user_id = ? """, (username, email, xhs_user_id)) update_count += 1 skipped_entries.append((row_num, row, "用户User码已存在,已更新信息")) else: # 插入新用户 cursor.execute(""" INSERT INTO users (email, username, xhs_user_id) VALUES (?, ?, ?) """, (email, username, xhs_user_id)) existing_user_ids.add(xhs_user_id) # 添加到已存在列表 success_count += 1 print(f"插入新用户: {xhs_user_id} -> {username}, {email}") except sqlite3.IntegrityError as e: # 处理唯一约束冲突 if "UNIQUE constraint failed: users.xhs_user_id" in str(e): error_info = f"小红书User码重复" failed_entries.append((row_num, row, error_info)) print(f"错误: 小红书User码重复: {xhs_user_id} (行 {row_num})") else: error_info = f"数据库完整性错误: {e}" failed_entries.append((row_num, row, error_info)) print(f"插入行时出错 (行 {row_num}): {row}, 错误: {e}") error_count += 1 except Exception as e: error_info = f"数据库错误: {e}" failed_entries.append((row_num, row, error_info)) print(f"插入行时出错 (行 {row_num}): {row}, 错误: {e}") error_count += 1 else: error_info = f"列数不足,需要至少4列" failed_entries.append((row_num, row, error_info)) print(f"警告: 跳过格式不正确的行 {row_num}: {row}") error_count += 1 # 提交事务 conn.commit() print(f"\n导入完成! 成功插入: {success_count}, 更新: {update_count}, 跳过: {skip_count}, 失败: {error_count}") # 如果有失败的条目,输出详细信息 if failed_entries: print("\n===== 导入失败的记录 =====") for row_num, row, error in failed_entries: print(f"行 {row_num}: {row} - 失败原因: {error}") # 将失败记录保存到文件 failure_file = os.path.join(os.path.dirname(csv_file), "import_failures_5.15.csv") with open(failure_file, 'w', newline='', encoding='utf-8') as f: writer = csv.writer(f) writer.writerow(['行号', '原始数据', '失败原因']) for row_num, row, error in failed_entries: writer.writerow([row_num, ','.join(row), error]) print(f"\n失败记录已保存到: {failure_file}") # 如果有跳过的条目,输出详细信息 if skipped_entries: print("\n===== 跳过的记录 =====") for row_num, row, reason in skipped_entries: print(f"行 {row_num}: {row} - 跳过原因: {reason}") except Exception as e: print(f"读取CSV文件时出错: {e}") conn.rollback() return False finally: conn.close() return True if __name__ == "__main__": if main(): print("用户数据导入成功!") else: print("用户数据导入失败!") sys.exit(1)