"""
生成收敛三角形突破强度选股简报（Markdown）
默认读取 outputs/converging_triangles/all_results.csv

用法示例：
1) 使用默认参数生成最新交易日排名
   python scripts/report_converging_triangles.py

2) 指定强度阈值与输出数量
   python scripts/report_converging_triangles.py --threshold 0.4 --top-n 30

3) 指定报告日期（YYYYMMDD）
   python scripts/report_converging_triangles.py --report-date 20260120

4) 指定输入与输出路径
   python scripts/report_converging_triangles.py \
       --input outputs/converging_triangles/all_results.csv \
       --output outputs/converging_triangles/report.md
"""

from __future__ import annotations

import argparse
import csv
import os
import sys
from datetime import datetime
from typing import Any, Dict, List, Optional

# 让脚本能找到 src/ 下的模块
sys.path.append(os.path.join(os.path.dirname(__file__), "..", "src"))

# 导入统一的参数配置
from triangle_config import DETECTION_PARAMS


def parse_bool(value: str) -> Optional[bool]:
    if value is None or value == "":
        return None
    if value.lower() in ("true", "1", "yes"):
        return True
    if value.lower() in ("false", "0", "no"):
        return False
    return None


def to_int(value: str, default: int = 0) -> int:
    try:
        return int(float(value))
    except (TypeError, ValueError):
        return default


def to_float(value: str, default: float = 0.0) -> float:
    try:
        return float(value)
    except (TypeError, ValueError):
        return default


def load_rows(csv_path: str) -> List[Dict[str, Any]]:
    rows: List[Dict[str, Any]] = []
    with open(csv_path, newline="", encoding="utf-8-sig") as f:
        reader = csv.DictReader(f)
        for row in reader:
            rows.append({
                "stock_idx": to_int(row.get("stock_idx", "")),
                "date_idx": to_int(row.get("date_idx", "")),
                "is_valid": parse_bool(row.get("is_valid", "")),
                "breakout_strength_up": to_float(row.get("breakout_strength_up", "")),
                "breakout_strength_down": to_float(row.get("breakout_strength_down", "")),
                "upper_slope": to_float(row.get("upper_slope", "")),
                "lower_slope": to_float(row.get("lower_slope", "")),
                "width_ratio": to_float(row.get("width_ratio", "")),
                "touches_upper": to_int(row.get("touches_upper", "")),
                "touches_lower": to_int(row.get("touches_lower", "")),
                "apex_x": to_float(row.get("apex_x", "")),
                "breakout_dir": (row.get("breakout_dir") or "").strip(),
                "volume_confirmed": parse_bool(row.get("volume_confirmed", "")),
                "false_breakout": parse_bool(row.get("false_breakout", "")),
                "window_start": to_int(row.get("window_start", "")),
                "window_end": to_int(row.get("window_end", "")),
                "stock_code": (row.get("stock_code") or "").strip(),
                "stock_name": (row.get("stock_name") or "").strip(),
                "date": to_int(row.get("date", "")),
            })
    return rows


def best_by_stock(
    rows: List[Dict[str, Any]],
    strength_key: str,
    threshold: float,
    breakout_dir: str,
) -> List[Dict[str, Any]]:
    filtered = [
        r for r in rows
        if r.get(strength_key, 0.0) > threshold and r.get("breakout_dir") == breakout_dir
    ]
    best_map: Dict[str, Dict[str, Any]] = {}
    for r in filtered:
        key = r.get("stock_code") or f"IDX{r.get('stock_idx', '')}"
        prev = best_map.get(key)
        if prev is None:
            best_map[key] = r
            continue
        if r[strength_key] > prev[strength_key]:
            best_map[key] = r
        elif r[strength_key] == prev[strength_key] and r.get("date", 0) > prev.get("date", 0):
            best_map[key] = r
    return sorted(
        best_map.values(),
        key=lambda x: (x.get(strength_key, 0.0), x.get("date", 0)),
        reverse=True,
    )


def daily_rank_by_strength(
    rows: List[Dict[str, Any]],
    target_date: int,
    top_n: int,
) -> List[Dict[str, Any]]:
    candidates: List[Dict[str, Any]] = []
    for r in rows:
        if r.get("date") != target_date:
            continue
        if r.get("breakout_dir") not in ("up", "down"):
            continue
        strength_up = r.get("breakout_strength_up", 0.0)
        strength_down = r.get("breakout_strength_down", 0.0)
        combined = max(strength_up, strength_down)
        r = dict(r)
        r["combined_strength"] = combined
        r["combined_dir"] = "up" if strength_up >= strength_down else "down"
        candidates.append(r)

    return sorted(
        candidates,
        key=lambda x: (x.get("combined_strength", 0.0), x.get("date", 0)),
        reverse=True,
    )[:top_n]


def count_by_dir(rows: List[Dict[str, Any]]) -> Dict[str, int]:
    counts = {"up": 0, "down": 0, "none": 0}
    for r in rows:
        dir_name = r.get("breakout_dir") or "none"
        if dir_name not in counts:
            counts[dir_name] = 0
        counts[dir_name] += 1
    return counts


def fmt_bool(value: Optional[bool]) -> str:
    if value is True:
        return "是"
    if value is False:
        return "否"
    return "-"


def build_report(
    rows: List[Dict[str, Any]],
    threshold: float,
    top_n: int,
    report_date: Optional[int],
    output_path: str,
) -> None:
    total = len(rows)
    if total == 0:
        content = "# 收敛三角形当日选股简报\n\n数据为空。\n"
        with open(output_path, "w", encoding="utf-8") as f:
            f.write(content)
        return

    dates = [r.get("date", 0) for r in rows if r.get("date", 0) > 0]
    date_max = max(dates) if dates else 0

    target_date = report_date or date_max
    daily_rows = [r for r in rows if r.get("date") == target_date]
    daily_counts = count_by_dir(daily_rows)
    
    # 按方向分类并排序
    daily_up = sorted(
        [r for r in daily_rows if r.get("breakout_dir") == "up"],
        key=lambda x: x.get("breakout_strength_up", 0.0),
        reverse=True
    )
    daily_down = sorted(
        [r for r in daily_rows if r.get("breakout_dir") == "down"],
        key=lambda x: x.get("breakout_strength_down", 0.0),
        reverse=True
    )
    daily_none = sorted(
        [r for r in daily_rows if r.get("breakout_dir") == "none"],
        key=lambda x: max(x.get("breakout_strength_up", 0.0), x.get("breakout_strength_down", 0.0)),
        reverse=True
    )

    now_str = datetime.now().strftime("%Y-%m-%d %H:%M")

    lines: List[str] = []
    lines.append("# 收敛三角形当日选股简报")
    lines.append("")
    lines.append("## 数据说明")
    lines.append("")
    lines.append("- **股票池**：108 只个股（从万得全A按顺序索引，等距50取样）")
    lines.append(f"- **检测窗口**：{DETECTION_PARAMS.window} 个交易日")
    lines.append("- **检测算法**：收敛三角形形态识别（基于枢轴点、趋势线拟合与收敛度判定）")
    lines.append("")
    lines.append(f"## {target_date} 当日统计")
    lines.append("")
    lines.append(f"- 生成时间：{now_str}")
    lines.append(f"- 当日满足收敛三角形的个股：{len(daily_rows)} 只")
    lines.append(f"  - 向上突破：{daily_counts.get('up', 0)} 只")
    lines.append(f"  - 向下突破：{daily_counts.get('down', 0)} 只")
    lines.append(f"  - 无突破（形态成立但未突破）：{daily_counts.get('none', 0)} 只")
    lines.append("")
    
    # 向上突破
    lines.append("## 向上突破")
    if daily_up:
        lines.append("| 排名 | 股票 | 突破强度 | 宽度比 | 触碰(上/下) | 放量确认 |")
        lines.append("| --- | --- | --- | --- | --- | --- |")
        for i, r in enumerate(daily_up, start=1):
            stock = f"{r.get('stock_code', '')} {r.get('stock_name', '')}".strip()
            lines.append(
                f"| {i} | {stock} | "
                f"{r.get('breakout_strength_up', 0.0):.4f} | "
                f"{r.get('width_ratio', 0.0):.4f} | "
                f"{r.get('touches_upper', 0)}/{r.get('touches_lower', 0)} | "
                f"{fmt_bool(r.get('volume_confirmed'))} |"
            )
    else:
        lines.append("当日无向上突破记录。")
    lines.append("")
    
    # 向下突破
    lines.append("## 向下突破")
    if daily_down:
        lines.append("| 排名 | 股票 | 突破强度 | 宽度比 | 触碰(上/下) | 放量确认 |")
        lines.append("| --- | --- | --- | --- | --- | --- |")
        for i, r in enumerate(daily_down, start=1):
            stock = f"{r.get('stock_code', '')} {r.get('stock_name', '')}".strip()
            lines.append(
                f"| {i} | {stock} | "
                f"{r.get('breakout_strength_down', 0.0):.4f} | "
                f"{r.get('width_ratio', 0.0):.4f} | "
                f"{r.get('touches_upper', 0)}/{r.get('touches_lower', 0)} | "
                f"{fmt_bool(r.get('volume_confirmed'))} |"
            )
    else:
        lines.append("当日无向下突破记录。")
    lines.append("")
    
    # 无突破（形态成立）
    lines.append("## 无突破（形态成立）")
    if daily_none:
        lines.append("| 排名 | 股票 | 宽度比 | 触碰(上/下) |")
        lines.append("| --- | --- | --- | --- |")
        for i, r in enumerate(daily_none, start=1):
            stock = f"{r.get('stock_code', '')} {r.get('stock_name', '')}".strip()
            lines.append(
                f"| {i} | {stock} | "
                f"{r.get('width_ratio', 0.0):.4f} | "
                f"{r.get('touches_upper', 0)}/{r.get('touches_lower', 0)} |"
            )
    else:
        lines.append("当日无未突破记录。")
    lines.append("")
    
    lines.append("## 说明")
    lines.append("")
    lines.append("- **突破强度**：价格突破幅度、收敛程度与成交量放大综合计算（0~1）")
    lines.append("- **宽度比**：三角形末端宽度 / 起始宽度（越小越收敛）")
    lines.append("- **触碰(上/下)**：价格触碰上沿和下沿的次数")
    lines.append("- **放量确认**：突破时成交量是否显著放大")
    lines.append("")

    with open(output_path, "w", encoding="utf-8") as f:
        f.write("\n".join(lines))


def main() -> None:
    parser = argparse.ArgumentParser(description="生成收敛三角形突破强度选股简报")
    parser.add_argument(
        "--input",
        default=os.path.join("outputs", "converging_triangles", "all_results.csv"),
        help="输入 CSV 路径",
    )
    parser.add_argument(
        "--output",
        default=os.path.join("outputs", "converging_triangles", "report.md"),
        help="输出 Markdown 路径",
    )
    parser.add_argument("--threshold", type=float, default=0.3, help="强度阈值")
    parser.add_argument("--top-n", type=int, default=20, help="每方向输出数量")
    parser.add_argument("--report-date", type=int, default=None, help="指定报告日期（YYYYMMDD）")
    args = parser.parse_args()

    if not os.path.exists(args.input):
        raise FileNotFoundError(f"输入文件不存在: {args.input}")

    rows = load_rows(args.input)
    output_dir = os.path.dirname(args.output)
    if output_dir:
        os.makedirs(output_dir, exist_ok=True)
    build_report(rows, args.threshold, args.top_n, args.report_date, args.output)
    print(f"Report saved to: {args.output}")


if __name__ == "__main__":
    main()