Spaces:
Sleeping
Sleeping
File size: 16,519 Bytes
75d3623 e74eb63 75d3623 e74eb63 75d3623 e74eb63 75d3623 e74eb63 75d3623 e74eb63 75d3623 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
书籍数据导入脚本 - 支持新的 data 数据结构
将 data 目录中的数据导入 SQLite 数据库
"""
import os
import json
import sqlite3
import sys
from pathlib import Path
from datetime import datetime
import logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)
def create_database(db_path='books.db', schema_path='database/db_schema.sql'):
"""
创建数据库和表结构
Args:
db_path: 数据库文件路径
schema_path: Schema SQL文件路径
Returns:
sqlite3.Connection: 数据库连接对象
"""
logger.info(f"📦 创建数据库: {db_path}")
# 读取schema
if not Path(schema_path).exists():
logger.error(f"❌ 错误: Schema文件 {schema_path} 不存在")
sys.exit(1)
with open(schema_path, 'r', encoding='utf-8') as f:
schema_sql = f.read()
# 连接数据库并执行schema
conn = sqlite3.connect(db_path)
cursor = conn.cursor()
# 执行所有SQL语句
cursor.executescript(schema_sql)
conn.commit()
logger.info("✅ 数据库结构创建成功")
return conn
def import_book_info(conn, book_dir: Path) -> int:
"""
导入书籍基本信息
Args:
conn: 数据库连接
book_dir: 书籍目录
Returns:
int: 书籍ID
"""
book_info_file = book_dir / "book_info.json"
if not book_info_file.exists():
logger.warning(f"book_info.json 不存在: {book_dir}")
return None
with open(book_info_file, 'r', encoding='utf-8') as f:
book_info = json.load(f)
cursor = conn.cursor()
sql = """
INSERT OR REPLACE INTO books (
market_book_id, market_classify_id, market_book_name, stage,
market_book_cover, mod_book_id, mod_book_name, mod_book_cover,
old_mod_book_id, is_mod, create_date, create_user, isbn, type,
subject_id, ver_id, grade_id, reel_id, app_id, sort,
market_classify_name, old_mod_classify_id, mod_classify_id,
start_page, max_page, source_dir
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
"""
cursor.execute(sql, (
book_info.get("MarketBookID"),
book_info.get("MarketClassifyId"),
book_info.get("MarketBookName"),
book_info.get("Stage"),
book_info.get("MarketBookCover"),
book_info.get("MODBookID"),
book_info.get("MODBookName"),
book_info.get("MODBookCover"),
book_info.get("OldMODBookID"),
book_info.get("IsMod"),
book_info.get("CreateDate"),
book_info.get("CreateUser"),
book_info.get("ISBN"),
book_info.get("Type"),
book_info.get("SubjectID"),
book_info.get("VerID"),
book_info.get("GradeID"),
book_info.get("ReelID"),
book_info.get("AppID"),
book_info.get("Sort"),
book_info.get("MarketClassifyName"),
book_info.get("OldModClassifyID"),
book_info.get("ModClassifyID"),
book_info.get("StartPage"),
book_info.get("MaxPage"),
str(book_dir.name)
))
conn.commit()
book_id = book_info.get("MarketBookID")
logger.info(f"导入书籍信息成功: {book_id} - {book_info.get('MarketBookName')}")
return book_id
def import_pages(conn, book_dir: Path, book_id: int):
"""
导入页面数据
Args:
conn: 数据库连接
book_dir: 书籍目录
book_id: 书籍ID
"""
pages_file = book_dir / "pages.json"
if not pages_file.exists():
logger.warning(f"pages.json 不存在: {book_dir}")
return
with open(pages_file, 'r', encoding='utf-8') as f:
pages = json.load(f)
cursor = conn.cursor()
page_sql = """
INSERT OR REPLACE INTO pages (page_id, book_id, page_number, origin_img_url, encrypt_img_url)
VALUES (?, ?, ?, ?, ?)
"""
piece_sql = """
INSERT OR REPLACE INTO pieces (
piece_id, page_id, original, translation, origin_sound_url, encrypt_sound_url,
duration, coordinate_x, coordinate_y, coordinate_width, coordinate_height,
is_evaluated, show_translation, rich_original, rich_translation, piece_order
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
"""
page_count = 0
piece_count = 0
for page in pages:
page_id = page.get("pageId")
page_number = page.get("pageNumber")
origin_img_url = page.get("originImgUrl", "")
encrypt_img_url = page.get("encryptImgUrl", "")
if not page_id or not page_number:
continue
# 插入页面
cursor.execute(page_sql, (page_id, book_id, page_number, origin_img_url, encrypt_img_url))
page_count += 1
# 插入页面片段
pieces = page.get("pieces", [])
for i, piece in enumerate(pieces):
coordinate = piece.get("coordinate", {})
cursor.execute(piece_sql, (
piece.get("pieceId"),
page_id,
piece.get("original", ""),
piece.get("translation", ""),
piece.get("originSoundUrl", ""),
piece.get("encryptSoundUrl", ""),
piece.get("duration", 0),
coordinate.get("x", 0),
coordinate.get("y", 0),
coordinate.get("width", 0),
coordinate.get("height", 0),
piece.get("isEvaluated", 0),
piece.get("showTranslation", 1),
piece.get("richOriginal", ""),
piece.get("richTranslation", ""),
i
))
piece_count += 1
# 每50页提交一次
if page_count % 50 == 0:
conn.commit()
logger.info(f" 进度: {page_count}/{len(pages)} 页, {piece_count} 个内容片段")
conn.commit()
logger.info(f"导入 {page_count} 页内容,{piece_count} 个片段成功")
def generate_catalog_from_pages(book_dir: Path, book_id: int, pages_data: list) -> list:
"""
从pages.json自动生成目录结构
为每一页生成一个目录项,使用该页第一个piece的文本作为标题
Args:
book_dir: 书籍目录
book_id: 书籍ID
pages_data: 页面数据列表
Returns:
生成的目录列表
"""
if not pages_data:
return []
catalogs = []
# 为每一页生成一个目录项
for i, page in enumerate(pages_data):
page_number = page.get('pageNumber')
pieces = page.get('pieces', [])
# 获取第一个piece的文本作为标题
if pieces and len(pieces) > 0:
first_piece = pieces[0]
title = first_piece.get('original', '').strip()
title_cn = first_piece.get('translation', '').strip()
else:
# 如果没有piece,使用默认标题
title = f"Page {page_number}"
title_cn = f"第{page_number}页"
# 限制标题长度,避免过长
if len(title) > 80:
title = title[:77] + "..."
if len(title_cn) > 80:
title_cn = title_cn[:77] + "..."
catalogs.append({
'CatalogID': i + 1,
'CatalogName': title or f"Page {page_number}",
'CatalogNameCN': title_cn or f"第{page_number}页",
'StartPage': page_number,
'EndPage': page_number, # 每个目录项对应一页
'Thumbnail': f"{book_dir.name}/images/thumbnails/page_{page_number:03d}_thumb.jpg",
'ParentID': 0,
'Sort': i + 1
})
logger.info(f" 从pages.json生成 {len(catalogs)} 个目录项(每页一项)")
return catalogs
def import_catalog(conn, book_dir: Path, book_id: int, pages_data: list = None):
"""
导入目录数据(强制从pages.json生成)
Args:
conn: 数据库连接
book_dir: 书籍目录
book_id: 书籍ID
pages_data: 页面数据(用于自动生成目录)
"""
catalogs = []
# 强制从 pages.json 生成目录(忽略已有的 catalog.json)
if pages_data:
logger.info(f" 🔄 强制从 pages.json 生成目录...")
catalogs = generate_catalog_from_pages(book_dir, book_id, pages_data)
else:
# 如果 pages_data 不可用,尝试从 catalog.json 读取作为备选
catalog_file = book_dir / "catalog.json"
if catalog_file.exists():
logger.info(f" ⚠️ pages.json 不可用,从现有 catalog.json 读取...")
with open(catalog_file, 'r', encoding='utf-8') as f:
catalog_data = json.load(f)
catalogs = catalog_data.get("catalog", [])
else:
logger.warning(f" ❌ 无法生成目录:pages.json 和 catalog.json 都不可用")
return
if not catalogs:
logger.warning(f" ⚠️ 目录为空,跳过导入")
return
# 3. 导入到数据库
cursor = conn.cursor()
sql = """
INSERT OR REPLACE INTO catalogs (
catalog_id, book_id, catalog_name, catalog_name_cn,
start_page, end_page, thumbnail, parent_id, sort
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
"""
for catalog in catalogs:
# 生成唯一的catalog_id (book_id * 10000 + sort)
catalog_id = book_id * 10000 + catalog.get("Sort", catalog.get("CatalogID", 0))
cursor.execute(sql, (
catalog_id,
book_id,
catalog.get("CatalogName"),
catalog.get("CatalogNameCN"),
catalog.get("StartPage"),
catalog.get("EndPage"),
catalog.get("Thumbnail", ""),
catalog.get("ParentID", 0),
catalog.get("Sort", catalog.get("CatalogID", 0))
))
conn.commit()
logger.info(f"导入 {len(catalogs)} 个目录项成功")
def import_book(conn, book_dir: Path):
"""
导入单本书籍的完整数据
Args:
conn: 数据库连接
book_dir: 书籍目录
"""
book_name = book_dir.name
logger.info(f"\n{'=' * 60}")
logger.info(f"开始导入书籍: {book_name}")
logger.info(f"{'=' * 60}")
try:
# 1. 导入书籍信息
book_id = import_book_info(conn, book_dir)
if not book_id:
logger.error(f"导入失败: 无法获取书籍ID")
return False
# 2. 导入页面数据
import_pages(conn, book_dir, book_id)
# 3. 读取pages.json用于生成目录
pages_data = None
pages_file = book_dir / "pages.json"
if pages_file.exists():
with open(pages_file, 'r', encoding='utf-8') as f:
pages_data = json.load(f)
# 4. 导入目录数据(支持自动生成)
import_catalog(conn, book_dir, book_id, pages_data)
logger.info(f"✅ 书籍 {book_name} 导入完成!\n")
return True
except Exception as e:
logger.error(f"❌ 导入书籍 {book_name} 失败: {e}", exc_info=True)
return False
def import_all_books(conn, data_dir: str):
"""
导入所有书籍
Args:
conn: 数据库连接
data_dir: data 目录路径
"""
logger.info("=" * 60)
logger.info("开始批量导入书籍数据")
logger.info(f"数据目录: {data_dir}")
logger.info("=" * 60)
data_path = Path(data_dir)
if not data_path.exists():
logger.error(f"❌ 数据目录不存在: {data_dir}")
return
# 获取所有书籍目录
book_dirs = [d for d in data_path.iterdir() if d.is_dir()]
logger.info(f"找到 {len(book_dirs)} 本书籍\n")
success_count = 0
failed_count = 0
for idx, book_dir in enumerate(book_dirs, 1):
logger.info(f"[{idx}/{len(book_dirs)}] 处理: {book_dir.name}")
if import_book(conn, book_dir):
success_count += 1
else:
failed_count += 1
logger.info("\n" + "=" * 60)
logger.info("批量导入完成!")
logger.info(f"成功: {success_count} 本")
logger.info(f"失败: {failed_count} 本")
logger.info("=" * 60)
def verify_data(conn):
"""
验证导入的数据
Args:
conn: 数据库连接
"""
logger.info("\n🔍 验证数据...")
cursor = conn.cursor()
# 统计数据
cursor.execute('SELECT COUNT(*) FROM books')
book_count = cursor.fetchone()[0]
cursor.execute('SELECT COUNT(*) FROM pages')
page_count = cursor.fetchone()[0]
cursor.execute('SELECT COUNT(*) FROM pieces')
piece_count = cursor.fetchone()[0]
cursor.execute('SELECT COUNT(*) FROM catalogs')
catalog_count = cursor.fetchone()[0]
logger.info(f" - 书籍总数: {book_count}")
logger.info(f" - 页面总数: {page_count}")
logger.info(f" - 内容片段总数: {piece_count}")
logger.info(f" - 目录项总数: {catalog_count}")
# 显示所有书籍列表
cursor.execute('''
SELECT market_book_id, market_book_name, max_page, market_classify_name
FROM books
ORDER BY market_book_id
''')
books = cursor.fetchall()
if books:
logger.info(f"\n 📚 所有书籍:")
for book in books:
logger.info(f" - ID={book[0]}, 名称={book[1]}, 页数={book[2]}, 分类={book[3]}")
logger.info("\n✅ 数据验证完成")
def main():
"""主函数"""
import argparse
print("=" * 80)
print("📚 Books API Data 导入工具")
print("=" * 80)
# 命令行参数解析
parser = argparse.ArgumentParser(description='导入 data 数据到 SQLite 数据库')
parser.add_argument('data_dir', nargs='?', default='data',
help='data 数据目录路径 (默认: data)')
parser.add_argument('--db', default='books.db',
help='数据库文件路径 (默认: books.db)')
parser.add_argument('--schema', default='database/db_schema.sql',
help='Schema文件路径 (默认: database/db_schema.sql)')
parser.add_argument('--verify-only', action='store_true',
help='仅验证数据,不导入')
parser.add_argument('--recreate', action='store_true',
help='删除现有数据库并重新创建')
args = parser.parse_args()
try:
# 检查数据库是否存在
db_exists = Path(args.db).exists()
if args.verify_only:
# 仅验证
if not db_exists:
print(f"❌ 错误: 数据库 {args.db} 不存在")
return 1
conn = sqlite3.connect(args.db)
verify_data(conn)
conn.close()
return 0
# 重新创建数据库
if args.recreate and db_exists:
logger.info(f"🗑️ 删除现有数据库: {args.db}")
Path(args.db).unlink()
db_exists = False
# 创建或连接数据库
if db_exists:
logger.info(f"📂 数据库已存在: {args.db}")
conn = sqlite3.connect(args.db)
logger.info("✅ 连接到现有数据库")
else:
conn = create_database(args.db, args.schema)
# 导入数据
import_all_books(conn, args.data_dir)
# 验证数据
verify_data(conn)
# 关闭连接
conn.close()
print("\n" + "=" * 80)
print("🎉 所有操作完成!")
print("=" * 80)
print(f"\n💡 提示:")
print(f" - 使用 'python3 {sys.argv[0]} --verify-only' 验证数据")
print(f" - 使用 'python3 {sys.argv[0]} --recreate' 重新导入所有数据")
print(f" - 启动 app.py 来使用Web接口访问数据")
return 0
except Exception as e:
logger.error(f"\n❌ 错误: {e}", exc_info=True)
return 1
if __name__ == '__main__':
sys.exit(main())
|