"""新旧解析器对比工具。

对比 regex-only（旧）和 split-LLM（新）两种提取方式的结果差异。
用于评估新解析器的改进效果。

用法：
    # Python
    from insurance.ppt.comparison_tool import run_comparison
    report = run_comparison("path/to/plan.pdf", "savings")

    # CLI
    python -m insurance.ppt.comparison_tool path/to/plan.pdf --type savings
"""
import json
import time
import logging
import asyncio
from typing import Optional

logger = logging.getLogger(__name__)


async def _extract_regex_only(pdf_path: str, plan_type: str) -> tuple[dict, float]:
    """旧方式：纯正则提取（零 LLM 调用）。"""
    from insurance.ppt.regex_extractor import extract_insurance_regex

    start = time.time()
    # 读取 PDF 文本
    from insurance.ppt.extraction import _extract_pdf_text
    pdf_text, _ = _extract_pdf_text(pdf_path)
    if not pdf_text:
        return {"error": "无法提取 PDF 文本"}, 0
    data = extract_insurance_regex(pdf_text)
    elapsed = (time.time() - start) * 1000
    return data, elapsed


async def _extract_new(pdf_path: str, plan_type: str) -> tuple[dict, float, dict]:
    """新方式：质量门 + 分块 LLM 提取。"""
    from insurance.ppt.extraction import ExtractionOrchestrator

    start = time.time()
    orchestrator = ExtractionOrchestrator(use_cache=False)
    result = await orchestrator.extract_plan(pdf_path, plan_type, force_reparse=True)
    elapsed = (time.time() - start) * 1000
    return result.data or {}, elapsed, result.provenance or {}


def _diff_fields(old: dict, new: dict, path: str = "") -> list[dict]:
    """递归对比两个 dict，返回差异列表。"""
    diffs = []
    all_keys = set(list(old.keys()) + list(new.keys()))

    for key in sorted(all_keys):
        full_path = f"{path}.{key}" if path else key
        old_val = old.get(key)
        new_val = new.get(key)

        if old_val == new_val:
            continue

        if isinstance(old_val, dict) and isinstance(new_val, dict):
            diffs.extend(_diff_fields(old_val, new_val, full_path))
        elif isinstance(old_val, list) and isinstance(new_val, list):
            # 对比列表长度
            if len(old_val) != len(new_val):
                diffs.append({
                    "path": full_path,
                    "type": "list_length",
                    "old": len(old_val),
                    "new": len(new_val),
                })
            # 逐元素对比（前 N 个）
            for i in range(min(len(old_val), len(new_val))):
                if isinstance(old_val[i], dict) and isinstance(new_val[i], dict):
                    diffs.extend(_diff_fields(old_val[i], new_val[i], f"{full_path}[{i}]"))
                elif old_val[i] != new_val[i]:
                    diffs.append({
                        "path": f"{full_path}[{i}]",
                        "type": "value",
                        "old": old_val[i],
                        "new": new_val[i],
                    })
        else:
            diffs.append({
                "path": full_path,
                "type": "value",
                "old": old_val,
                "new": new_val,
            })

    return diffs


async def run_comparison(pdf_path: str, plan_type: str = "savings") -> dict:
    """运行新旧解析器对比。

    返回：
    {
        "pdf_path": str,
        "plan_type": str,
        "old_result": dict,
        "new_result": dict,
        "old_ms": float,
        "new_ms": float,
        "diffs": list[dict],
        "diff_count": int,
        "old_benefit_rows": int,
        "new_benefit_rows": int,
        "provenance": dict,
        "summary": str,
    }
    """
    logger.info(f"[对比工具] 开始对比: {pdf_path} ({plan_type})")

    # 旧方式
    old_data, old_ms = await _extract_regex_only(pdf_path, plan_type)
    old_benefit_rows = len(old_data.get("benefit_illustration") or [])

    # 新方式
    new_data, new_ms, provenance = await _extract_new(pdf_path, plan_type)
    new_benefit_rows = len(new_data.get("benefit_illustration") or [])

    # 对比
    diffs = _diff_fields(old_data, new_data)

    # 生成摘要
    summary_parts = [
        f"PDF: {pdf_path}",
        f"险种: {plan_type}",
        f"旧方式: {old_ms:.0f}ms, {old_benefit_rows} 行利益表",
        f"新方式: {new_ms:.0f}ms, {new_benefit_rows} 行利益表",
        f"差异项: {len(diffs)}",
    ]

    # 关键字段对比
    old_name = old_data.get("product_name", "unknown")
    new_name = new_data.get("product_name", "unknown")
    old_age = (old_data.get("insured") or {}).get("age")
    new_age = (new_data.get("insured") or {}).get("age")
    summary_parts.append(f"产品名: 旧={old_name}, 新={new_name}")
    summary_parts.append(f"年龄: 旧={old_age}, 新={new_age}")

    report = {
        "pdf_path": pdf_path,
        "plan_type": plan_type,
        "old_result": old_data,
        "new_result": new_data,
        "old_ms": round(old_ms, 1),
        "new_ms": round(new_ms, 1),
        "diffs": diffs,
        "diff_count": len(diffs),
        "old_benefit_rows": old_benefit_rows,
        "new_benefit_rows": new_benefit_rows,
        "provenance": provenance,
        "summary": "\n".join(summary_parts),
    }

    logger.info(f"[对比工具] 完成:\n{report['summary']}")
    return report


if __name__ == "__main__":
    import sys
    logging.basicConfig(level=logging.INFO)

    if len(sys.argv) < 2:
        print("用法: python -m insurance.ppt.comparison_tool <pdf_path> [--type savings|ci|iul]")
        sys.exit(1)

    pdf = sys.argv[1]
    ptype = "savings"
    if "--type" in sys.argv:
        idx = sys.argv.index("--type")
        if idx + 1 < len(sys.argv):
            ptype = sys.argv[idx + 1]

    report = asyncio.run(run_comparison(pdf, ptype))
    print("\n" + report["summary"])
    if report["diffs"]:
        print(f"\n差异详情 ({report['diff_count']} 项):")
        for d in report["diffs"][:20]:
            print(f"  {d['path']}: {d.get('old')} → {d.get('new')}")