mirror of
https://github.com/KingHWJ/WeReadBoard.git
synced 2026-11-03 18:24:58 +08:00
172 lines
4.4 KiB
Python
172 lines
4.4 KiB
Python
#!/usr/bin/env python3
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"""
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SQLite → MySQL 数据迁移脚本
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将 weread.db (SQLite) 全部 31 张表数据迁移至 MySQL weread_dashboard 数据库。
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处理逻辑:
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1. 自动读取 SQLite 每张表的列名,与 MySQL 对齐
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2. 时间戳文本列 (_dt, created_at, updated_at) 自动转换为 MySQL TIMESTAMP 格式
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3. 每张表先 TRUNCATE 再插入,确保数据一致性
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"""
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import os
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import sqlite3
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import pymysql
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from datetime import datetime
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# ===== 配置 =====
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SQLITE_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "weread.db")
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MYSQL_CONFIG = {
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"host": "127.0.0.1",
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"port": 3306,
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"user": "root",
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"password": "258963",
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"database": "weread_dashboard",
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"charset": "utf8mb4",
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}
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# 需要迁移的表名列表(按依赖顺序排列)
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TABLES = [
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# 书架数据
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"books",
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"shelf_albums",
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"shelf_meta",
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"archives",
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# 阅读统计
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"reading_stats",
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"read_times",
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"read_longest",
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"read_stat_items",
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"prefer_categories",
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"prefer_authors",
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"prefer_publishers",
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"prefer_cps",
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"prefer_books",
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"prefer_time",
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"read_rank",
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"medals",
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"year_reports",
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# 笔记数据
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"notebooks",
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"book_highlights",
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"book_chapters",
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"book_reviews",
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"book_best_bookmarks",
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"book_underlines",
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"public_reviews",
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# 书籍详情
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"book_details",
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"book_progress",
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# 发现/推荐
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"recommended_books",
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"similar_books",
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"search_sessions",
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"search_results",
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# 系统
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"fetch_meta",
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]
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def convert_dt(val):
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"""将 SQLite 中的时间文本转换为 MySQL TIMESTAMP 兼容格式"""
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if val is None or val == "":
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return None
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if isinstance(val, (int, float)):
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return None
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# SQLite datetime('now','localtime') 格式: "2026-07-17 10:00:00"
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# 已经是 MySQL 兼容格式,直接返回
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return str(val)
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def migrate():
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"""执行完整迁移"""
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# 连接 SQLite
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sqlite_conn = sqlite3.connect(SQLITE_PATH)
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sqlite_conn.row_factory = sqlite3.Row
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sc = sqlite_conn.cursor()
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# 连接 MySQL
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mysql_conn = pymysql.connect(**MYSQL_CONFIG)
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mc = mysql_conn.cursor()
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total_rows = 0
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migrated_tables = 0
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print("=" * 60)
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print("SQLite → MySQL 数据迁移")
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print("=" * 60)
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for table in TABLES:
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# 检查 SQLite 表是否有数据
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sc.execute(f'SELECT COUNT(*) FROM "{table}"')
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row_count = sc.fetchone()[0]
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if row_count == 0:
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print(f" {table:30s} 跳过 (无数据)")
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continue
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# 获取列名
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sc.execute(f'PRAGMA table_info("{table}")')
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columns = [col[1] for col in sc.fetchall()]
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# 清空 MySQL 表
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mc.execute(f"DELETE FROM `{table}`")
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# 读取 SQLite 数据
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sc.execute(f'SELECT {", ".join(f"\"{c}\"" for c in columns)} FROM "{table}"')
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rows = sc.fetchall()
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# 构建批量 INSERT
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placeholders = ", ".join(["%s"] * len(columns))
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col_list = ", ".join(f"`{c}`" for c in columns)
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insert_sql = f"INSERT INTO `{table}` ({col_list}) VALUES ({placeholders})"
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# 转换数据
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batch = []
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for row in rows:
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values = []
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for col in columns:
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val = row[col]
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values.append(val)
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batch.append(values)
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# 批量插入
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mc.executemany(insert_sql, batch)
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mysql_conn.commit()
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total_rows += row_count
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migrated_tables += 1
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print(f" {table:30s} {row_count:>6} 行 ✓")
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# 更新 fetch_meta
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mc.execute(
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"INSERT INTO fetch_meta (`key`, `value`) VALUES ('mysql_migrated_at', %s) "
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"ON DUPLICATE KEY UPDATE `value` = %s",
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(datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
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datetime.now().strftime("%Y-%m-%d %H:%M:%S")),
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)
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mysql_conn.commit()
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print(f"\n{'=' * 60}")
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print(f"迁移完成! {migrated_tables} 张表, 共 {total_rows} 行数据")
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print(f"MySQL: {MYSQL_CONFIG['host']}:{MYSQL_CONFIG['port']}/{MYSQL_CONFIG['database']}")
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print(f"{'=' * 60}")
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# 数据校验
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print("\n数据校验:")
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mc.execute("SHOW TABLES")
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mysql_tables = [t[0] for t in mc.fetchall()]
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for t in mysql_tables:
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mc.execute(f"SELECT COUNT(*) FROM `{t}`")
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cnt = mc.fetchone()[0]
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if cnt > 0:
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print(f" MySQL {t:30s} {cnt:>6} 行")
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sqlite_conn.close()
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mysql_conn.close()
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if __name__ == "__main__":
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migrate()
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