"""与离线 demo main.py 同结构的段级文本报告（可选落盘）。"""

from __future__ import annotations

from pathlib import Path

from app.services.tear_gated_segment_consumption.runner import TearGatedSegmentRecord


def write_tear_segment_txt(
    *,
    path: Path,
    surgery_id: str,
    camera_id: str,
    labels_source: str,
    records: list[TearGatedSegmentRecord],
) -> None:
    path.parent.mkdir(parents=True, exist_ok=True)
    lines: list[str] = []
    lines.append("耗材消耗推断（撕段模式 / FastAPI）")
    lines.append(f"手术: {surgery_id}  camera: {camera_id}")
    lines.append(f"类名→label_id YAML: {labels_source}")
    lines.append(
        "说明: 人手检测 -> 撕二分类 -> 好帧门控(坏帧不判耗材) -> 41 类; "
        "段内为概率向量平均; 众数作展示对照"
    )
    lines.append("")
    for rec in records:
        line = "\t".join(
            [
                f"段{rec.segment_index}",
                f"时间戳(秒)={rec.mid_stream_sec:.3f};范围={rec.start_sec:.2f}~{rec.end_sec:.2f}",
                f"物品id={rec.item_id}",
                f"物品名称(模型top1)={rec.item_name}",
                f"top1置信度(段内平均)={rec.top1_conf:.4f}",
                f"top2={rec.top2_name}",
                f"top2_conf={rec.top2_conf:.4f}",
                f"top3={rec.top3_name}",
                f"top3_conf={rec.top3_conf:.4f}",
                f"段内众数(参考)={rec.majority_ref}",
                f"消耗数量=1",
                f"医生id=暂无",
            ]
        )
        lines.append(line)
        lines.append("")
    path.write_text("\n".join(lines) + "\n", encoding="utf-8")