9cd3c0f231
- 任务详情上传支持"本批素材无条码"开关，跳过条码必填校验 - SKU卡片/主图网格从4列改5列，图片高度压缩，去掉冗余标签和提示 - 详情图/PSD上传区去掉大占位框，改成紧凑按钮+标签 - 补充历史导入相关脚本和工具文件 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
124 lines
4.0 KiB
Python
124 lines
4.0 KiB
Python
#!/usr/bin/env python3
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import argparse
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import csv
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import sqlite3
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from pathlib import Path
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EXPORT_HEADERS = [
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("root_path", "source_root（来源根路径）"),
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("spu", "spu（SPU）"),
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("directory_name", "directory_name（目录名称）"),
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("relative_path", "relative_path（相对路径）"),
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("windows_path", "windows_path（Windows路径）"),
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("sku_dir_path", "sku_dir_path（SKU目录完整路径）"),
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("parent_path", "parent_path（上级目录）"),
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("grandparent_path", "grandparent_path（上上级目录）"),
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("depth", "depth（目录层级）"),
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("file_count", "file_count（文件数）"),
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("image_count", "image_count（图片数）"),
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("child_dir_count", "child_dir_count（子目录数）"),
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("has_detail_dir_sibling", "has_detail_dir_sibling（同级有详情页或images）"),
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("has_main_dir_sibling", "has_main_dir_sibling（同级有主图）"),
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("has_detail_and_main_siblings", "has_detail_and_main_siblings（同级同时有详情页和主图）"),
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("sibling_detail_dir_names_json", "sibling_detail_dir_names_json（同级详情目录）"),
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("sibling_main_dir_names_json", "sibling_main_dir_names_json（同级主图目录）"),
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("sibling_dir_names_json", "sibling_dir_names_json（同级全部目录）"),
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("sample_files_json", "sample_files_json（示例文件）"),
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("created_at", "created_at（创建时间）"),
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("scan_id", "scan_id（扫描批次ID）"),
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]
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def parse_args():
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parser = argparse.ArgumentParser(description="Export sku folder scan results from sqlite to CSV.")
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parser.add_argument(
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"--db-path",
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default="/root/gongxiangp2/output/history-sku-folders.db",
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help="SQLite database file path.",
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)
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parser.add_argument(
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"--output",
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default="历史SKU目录清单.csv",
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help="Output CSV path.",
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)
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parser.add_argument(
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"--scan-id",
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default="",
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help="Optional scan_id filter. Empty means export all rows.",
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)
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parser.add_argument(
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"--only-detail-main",
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action="store_true",
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help="Only export rows whose sibling folders contain both detail/images and main image folders.",
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)
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return parser.parse_args()
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def main():
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args = parse_args()
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output_path = Path(args.output)
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output_path.parent.mkdir(parents=True, exist_ok=True)
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conn = sqlite3.connect(args.db_path)
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conn.row_factory = sqlite3.Row
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try:
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where_clauses = []
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params = []
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if args.scan_id:
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where_clauses.append("scan_id = ?")
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params.append(args.scan_id)
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if args.only_detail_main:
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where_clauses.append("has_detail_and_main_siblings = 1")
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where_sql = ""
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if where_clauses:
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where_sql = "WHERE " + " AND ".join(where_clauses)
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query = f"""
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SELECT
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scan_id,
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root_path,
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spu,
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directory_name,
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relative_path,
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sku_dir_path AS windows_path,
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sku_dir_path,
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parent_path,
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grandparent_path,
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depth,
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file_count,
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image_count,
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child_dir_count,
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has_detail_dir_sibling,
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has_main_dir_sibling,
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has_detail_and_main_siblings,
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sibling_detail_dir_names_json,
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sibling_main_dir_names_json,
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sibling_dir_names_json,
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sample_files_json,
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created_at
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FROM sku_folder_scan_items
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{where_sql}
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ORDER BY root_path, relative_path
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"""
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rows = conn.execute(query, params).fetchall()
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with output_path.open("w", encoding="utf-8-sig", newline="") as handle:
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writer = csv.writer(handle)
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writer.writerow([header for _, header in EXPORT_HEADERS])
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for row in rows:
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writer.writerow([row[column] for column, _ in EXPORT_HEADERS])
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print(f"exported_rows={len(rows)}")
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print(f"output={output_path}")
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finally:
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conn.close()
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if __name__ == "__main__":
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main()
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