""" batch_chunker.py 统一批量分块入口，支持 JRXML 和 Markdown 文件混合处理 """ import os import sys import json import time from pathlib import Path from datetime import datetime from collections import defaultdict from jrxml_chunker import JRXMLSemanticChunker from md_chunker import MarkdownSemanticChunker, save_chunks_to_json SUPPORTED_EXTENSIONS = ('.jrxml', '.JRXML', '.md', '.markdown') def batch_chunk_with_report(input_dir: str = None, output_dir: str = None, max_chunk_size: int = 2000): """ 批量分块，支持 JRXML 和 Markdown 混合处理 Args: input_dir: 输入目录 output_dir: 输出目录 max_chunk_size: 单个 chunk 最大字符数 """ if input_dir is None: print("错误：请指定输入目录") return None input_path = Path(input_dir).resolve() if not input_path.exists(): print(f"❌ 目录不存在: {input_path}") return None if not input_path.is_dir(): print(f"❌ 不是目录: {input_path}") return None if output_dir is None: output_dir = input_path.parent / f"{input_path.stem}_chunks" output_path = Path(output_dir) output_path.mkdir(parents=True, exist_ok=True) print(f"\n{'='*60}") print(f"统一批量分块 v1.0") print(f"{'='*60}") print(f"输入目录: {input_path}") print(f"输出目录: {output_path}") print(f"{'='*60}\n") # 初始化分块器 jrxml_chunker = JRXMLSemanticChunker(max_chunk_size=max_chunk_size) md_chunker = MarkdownSemanticChunker(max_chunk_size=max_chunk_size) # 收集所有支持的文件 files_by_ext = defaultdict(list) for ext in SUPPORTED_EXTENSIONS: files_by_ext[ext] = list(input_path.rglob(f"*{ext}")) total_files = sum(len(f) for f in files_by_ext.values()) print(f"找到 {total_files} 个文件:") for ext, files in files_by_ext.items(): print(f" {ext}: {len(files)} 个") if total_files == 0: print("⚠️ 未找到支持的文件") return None # 统计变量 all_chunks = [] stats = { "total_files": total_files, "success": 0, "failed": 0, "total_chunks": 0, "failed_files": [], "chunks_per_file": defaultdict(int), "chunk_types": defaultdict(int), "files_by_type": {"jrxml": 0, "markdown": 0}, "started_at": datetime.now().isoformat() } start_time = time.time() # 处理 JRXML 文件 jrxml_files = files_by_ext.get('.jrxml', []) + files_by_ext.get('.JRXML', []) if jrxml_files: print(f"\n📄 处理 JRXML 文件 ({len(jrxml_files)} 个)...") for i, jrxml_file in enumerate(jrxml_files, 1): relative_path = jrxml_file.relative_to(input_path) try: file_start = time.time() chunks = jrxml_chunker.chunk_file(str(jrxml_file)) file_duration = time.time() - file_start all_chunks.extend(chunks) stats["success"] += 1 stats["files_by_type"]["jrxml"] += 1 stats["total_chunks"] += len(chunks) stats["chunks_per_file"][str(relative_path)] = len(chunks) for chunk in chunks: stats["chunk_types"][f"jrxml_{chunk['chunk_type']}"] += 1 print(f"[{i}/{len(jrxml_files)}] ✅ JRXML: {relative_path} → {len(chunks)} chunks ({file_duration:.2f}s)") except Exception as e: stats["failed"] += 1 error_info = {"file": str(relative_path), "type": "jrxml", "error": str(e)} stats["failed_files"].append(error_info) print(f"[{i}/{len(jrxml_files)}] ❌ JRXML: {relative_path} → {e}") # 处理 Markdown 文件 md_files = files_by_ext.get('.md', []) + files_by_ext.get('.markdown', []) if md_files: print(f"\n📝 处理 Markdown 文件 ({len(md_files)} 个)...") for i, md_file in enumerate(md_files, 1): relative_path = md_file.relative_to(input_path) try: file_start = time.time() chunks = md_chunker.chunk_file(str(md_file)) file_duration = time.time() - file_start all_chunks.extend(chunks) stats["success"] += 1 stats["files_by_type"]["markdown"] += 1 stats["total_chunks"] += len(chunks) stats["chunks_per_file"][str(relative_path)] = len(chunks) for chunk in chunks: stats["chunk_types"][f"md_{chunk['chunk_type']}"] += 1 print(f"[{i}/{len(md_files)}] ✅ MD: {relative_path} → {len(chunks)} chunks ({file_duration:.2f}s)") except Exception as e: stats["failed"] += 1 error_info = {"file": str(relative_path), "type": "markdown", "error": str(e)} stats["failed_files"].append(error_info) print(f"[{i}/{len(md_files)}] ❌ MD: {relative_path} → {e}") total_duration = time.time() - start_time stats["processing_time"] = round(total_duration, 2) stats["finished_at"] = datetime.now().isoformat() # 保存所有 chunks all_chunks_path = output_path / "all_chunks.json" save_chunks_to_json(all_chunks, str(all_chunks_path)) # 保存统计报告 stats_path = output_path / "processing_stats.json" # Convert defaultdict to dict for JSON serialization stats_serializable = {k: (dict(v) if isinstance(v, defaultdict) else v) for k, v in stats.items()} with open(stats_path, "w", encoding="utf-8") as f: json.dump(stats_serializable, f, ensure_ascii=False, indent=2) # 打印总结 print(f"\n{'='*60}") print(f"处理完成！") print(f"{'='*60}") print(f"✅ 成功: {stats['success']} 文件 (JRXML: {stats['files_by_type']['jrxml']}, MD: {stats['files_by_type']['markdown']})") print(f"❌ 失败: {stats['failed']} 文件") print(f"📦 总 Chunks: {stats['total_chunks']}") print(f"⏱️ 总耗时: {total_duration:.2f}s") print(f"📂 输出目录: {output_path}") print(f"\n主要文件:") print(f" - {all_chunks_path}") print(f" - {stats_path}") print(f"\nChunk 类型分布 (前 10):") sorted_types = sorted(stats["chunk_types"].items(), key=lambda x: -x[1])[:10] for ct, count in sorted_types: print(f" {ct}: {count}") if stats["failed_files"]: print(f"\n⚠️ 失败文件详情:") for fail in stats["failed_files"][:10]: print(f" - {fail['file']} ({fail['type']}): {fail['error']}") return { "chunks": all_chunks, "stats": stats_serializable, "output_path": str(output_path) } if __name__ == "__main__": if len(sys.argv) < 2: print("=" * 60) print("统一批量分块 v1.0") print("支持 JRXML 和 Markdown 文件") print("=" * 60) print("\n用法:") print(" python batch_chunker.py <目录路径>") print(" python batch_chunker.py <目录路径> --output <输出目录>") print("\n示例:") print(" python batch_chunker.py ./jrxml_source") print(" python batch_chunker.py ./docs") print(" python batch_chunker.py ./ --output ./chunks") sys.exit(0) input_path = sys.argv[1] output_dir = None if "--output" in sys.argv: idx = sys.argv.index("--output") if idx + 1 < len(sys.argv): output_dir = sys.argv[idx + 1] if os.path.isdir(input_path): batch_chunk_with_report(input_path, output_dir) else: print(f"❌ 路径无效或不是目录: {input_path}")