rag_jrxml/jrxml_banch_chunker.py

"""
JRXML Batch Chunker
批量处理JRXML模板文件的入口脚本
"""

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, save_chunks_to_json, print_chunk_summary
from config import JRXML_SOURCE_DIR, CHUNKER_OUTPUT_DIR, MAX_CHUNK_SIZE


def batch_chunk_with_report(input_dir: str = None, output_dir: str = None, max_chunk_size: int = None):
    """
    批量分块并生成详细报告
    
    Args:
        input_dir: JRXML文件目录
        output_dir: 输出目录，默认为 input_dir/../chunked_output
        max_chunk_size: 单个chunk最大字节数
    """
    if input_dir is None:
        input_dir = str(JRXML_SOURCE_DIR)
    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 = str(CHUNKER_OUTPUT_DIR)
    output_path = Path(output_dir)
    output_path.mkdir(parents=True, exist_ok=True)

    if max_chunk_size is None:
        max_chunk_size = MAX_CHUNK_SIZE
    
    print(f"\n{'='*60}")
    print(f"JRXML 语义分块 v3.0 - 批量处理")
    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
    chunker = JRXMLSemanticChunker(max_chunk_size=max_chunk_size)
    
    # 收集所有JRXML文件
    jrxml_files = list(input_path.rglob("*.jrxml")) + list(input_path.rglob("*.JRXML"))
    total_files = len(jrxml_files)
    print(f"找到 {total_files} 个JRXML文件\n")
    
    if total_files == 0:
        print("⚠️ 未找到JRXML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),
        "started_at": datetime.now().isoformat()
    }
    
    start_time = time.time()
    
    # 逐个处理文件
    for i, jrxml_file in enumerate(jrxml_files, 1):
        relative_path = jrxml_file.relative_to(input_path)
        
        try:
            file_start = time.time()
            chunks = chunker.chunk_file(str(jrxml_file))
            file_duration = time.time() - file_start
            
            all_chunks.extend(chunks)
            
            # 统计
            stats["success"] += 1
            stats["total_chunks"] += len(chunks)
            stats["chunks_per_file"][str(relative_path)] = len(chunks)
            
            for chunk in chunks:
                stats["chunk_types"][chunk["chunk_type"]] += 1
            
            print(f"[{i}/{total_files}] ✅ {relative_path} → {len(chunks)} chunks ({file_duration:.2f}s)")
            
        except Exception as e:
            stats["failed"] += 1
            error_info = {"file": str(relative_path), "error": str(e)}
            stats["failed_files"].append(error_info)
            print(f"[{i}/{total_files}] ❌ {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"
    with open(stats_path, "w", encoding="utf-8") as f:
        json.dump(stats, f, ensure_ascii=False, indent=2)
    
    # 按文件保存独立chunks
    per_file_dir = output_path / "per_file"
    per_file_dir.mkdir(exist_ok=True)
    
    chunks_by_file = defaultdict(list)
    for chunk in all_chunks:
        # 从context中提取文件名
        context = chunk.get("context", "")
        chunks_by_file[context].append(chunk)
    
    for context, file_chunks in chunks_by_file.items():
        # 简化文件名
        safe_name = context.replace("'", "").replace(" ", "_").replace("Report_", "")[:100]
        file_path = per_file_dir / f"{safe_name}.json"
        with open(file_path, "w", encoding="utf-8") as f:
            json.dump(file_chunks, 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")
    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"  - {per_file_dir}/ (按文件分类的chunks)")
    
    print(f"\nChunk类型分布:")
    print_chunk_summary(all_chunks)
    
    if stats["failed_files"]:
        print(f"\n⚠️ 失败文件详情:")
        for fail in stats["failed_files"]:
            print(f"  - {fail['file']}: {fail['error']}")
    
    return {
        "chunks": all_chunks,
        "stats": stats,
        "output_path": str(output_path)
    }


def chunk_single_file_with_report(file_path: str, output_dir: str = None):
    """处理单个文件并生成详细报告"""
    file_path = Path(file_path).resolve()
    
    if not file_path.exists():
        print(f"❌ 文件不存在: {file_path}")
        return None
    
    if output_dir is None:
        output_dir = file_path.parent / f"{file_path.stem}_chunks"
    
    output_path = Path(output_dir)
    output_path.mkdir(parents=True, exist_ok=True)
    
    print(f"\n处理文件: {file_path.name}")
    print(f"输出目录: {output_path}\n")
    
    chunker = JRXMLSemanticChunker(max_chunk_size=2000)
    
    start_time = time.time()
    chunks = chunker.chunk_file(str(file_path))
    duration = time.time() - start_time
    
    # 保存结果
    chunks_path = output_path / f"{file_path.stem}_chunks.json"
    save_chunks_to_json(chunks, str(chunks_path))
    
    # 生成人类可读的摘要
    summary_path = output_path / f"{file_path.stem}_summary.txt"
    with open(summary_path, "w", encoding="utf-8") as f:
        f.write(f"JRXML Chunking Report: {file_path.name}\n")
        f.write(f"{'='*60}\n")
        f.write(f"Processing time: {duration:.2f}s\n")
        f.write(f"Total chunks: {len(chunks)}\n\n")
        
        for chunk in chunks:
            f.write(f"[Chunk {chunk['chunk_id']}] {chunk['chunk_type']}\n")
            f.write(f"  Description: {chunk['human_description'][:200]}\n")
            f.write(f"  XML Length: {len(chunk['raw_xml'])} chars\n")
            f.write(f"  Context: {chunk.get('context', 'N/A')}\n\n")
    
    print(f"✅ 生成 {len(chunks)} chunks")
    print(f"📄 Chunks JSON: {chunks_path}")
    print(f"📄 可读摘要: {summary_path}")
    print(f"⏱️ 耗时: {duration:.2f}s")
    
    print_chunk_summary(chunks)
    
    return chunks


if __name__ == "__main__":
    if len(sys.argv) < 2:
        print("=" * 60)
        print("JRXML Semantic Chunking v3.0 - 批量处理工具")
        print("=" * 60)
        print(f"\n默认输入目录: {JRXML_SOURCE_DIR}")
        print(f"默认输出目录: {CHUNKER_OUTPUT_DIR}")
        print("\n用法:")
        print("  python jrxml_banch_chunker.py <目录路径>")
        print("  python jrxml_banch_chunker.py <文件路径>")
        print("  python jrxml_banch_chunker.py                  (使用默认配置)")
        print("\n参数:")
        print("  <路径>            JRXML文件所在目录 或 单个JRXML文件路径")
        print("  --output <目录>   指定输出目录 (可选)")
        print("\n示例:")
        print("  python jrxml_banch_chunker.py")
        print("  python jrxml_banch_chunker.py ./jasper_reports")
        print("  python jrxml_banch_chunker.py ./jasper_reports --output ./chunks")
        print("  python jrxml_banch_chunker.py report.jrxml")
        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)
    elif os.path.isfile(input_path):
        chunk_single_file_with_report(input_path, output_dir)
    else:
        print(f"❌ 路径无效: {input_path}")