#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""分辨率对比测试(新提示词版)：4图×5发型=20行，每行4种分辨率，steps=15。
提示词固定为 "填充遮罩区域的头发，皮肤加一点磨皮"（去掉了"再加一点美颜"）。
热数据：预热1次+正式1次。
"""
import base64
import json
import os
import time
from pathlib import Path

import requests

API = "http://127.0.0.1:8187/api/v1/debug/grow-timing"
TOKEN = "dev-shared-secret-2026"
PROMPT = "填充遮罩区域的头发，皮肤加一点磨皮"
OUT = Path("/home/ubuntu/hair/benchmark_out/bench4")
OUT.mkdir(parents=True, exist_ok=True)

IMGS = [
    ("asdf", "/home/ubuntu/hair/image/asdf.jpg"),
    ("qwer", "/home/ubuntu/hair/image/qwer.jpg"),
    ("girl2", "/home/ubuntu/hair/image/girl_img/girl2.jpg"),
    ("girl5", "/home/ubuntu/hair/image/girl_img/girl5.jpg"),
]
HAIRSTYLES = [
    (1, "ellipse", "椭圆"), (2, "flower", "花瓣"), (3, "heart", "心形"),
    (4, "straight", "直线"), (5, "wave", "波浪"),
]
RES_LIST = [("orig", "0"), ("896", "896"), ("768", "768"), ("640", "640")]
RES_TITLES = ["原图(不缩放)", "896", "768", "640"]
STEPS = 15


def call(img_path, hair_num, redraw_max_side, save_grown=None, timeout=300):
    data = {"hair_style": str(hair_num), "webui_steps": str(STEPS),
            "redraw_max_side": str(redraw_max_side), "redraw_prompt": PROMPT}
    t0 = time.perf_counter()
    try:
        with open(img_path, "rb") as f:
            r = requests.post(API, headers={"X-Internal-Token": TOKEN},
                files={"image_file": (os.path.basename(img_path), f, "image/jpeg")},
                data=data, timeout=timeout)
        wall = time.perf_counter() - t0
        j = r.json()
        if j.get("code") != 0:
            return {"ok": False, "error": j.get("message", "")[:80], "wall": wall}
        d = j["data"]
        hs = d["per_hairstyle"][0]
        if save_grown and hs.get("grown_b64"):
            b = hs["grown_b64"].split(",")[1] if "," in hs["grown_b64"] else hs["grown_b64"]
            with open(save_grown, "wb") as gf:
                gf.write(base64.b64decode(b))
        return {
            "ok": hs.get("ok", False), "wall": wall,
            "total_ms": d["total_ms"], "swap_ms": hs.get("swap_ms"),
            "comfy_ms": hs.get("comfyui_redraw_ms"),
            "error": hs.get("error"),
        }
    except Exception as e:
        return {"ok": False, "error": str(e)[:80], "wall": time.perf_counter() - t0}


def main():
    rows = []
    total = len(IMGS) * len(HAIRSTYLES) * len(RES_LIST) * 2
    idx = 0
    for ilabel, ipath in IMGS:
        for hnum, hkey, hname in HAIRSTYLES:
            cells = []
            for (rlabel, rval), rtitle in zip(RES_LIST, RES_TITLES):
                idx += 1
                print(f"[{idx}/{total}] 预热 {ilabel}|{hname}|{rtitle}", flush=True)
                try:
                    call(ipath, hnum, rval, timeout=120)
                except Exception:
                    pass
                idx += 1
                save = OUT / f"{ilabel}_{hkey}_{rlabel}.jpg"
                print(f"[{idx}/{total}] 正式 {ilabel}|{hname}|{rtitle}", flush=True)
                r = call(ipath, hnum, rval, save_grown=save, timeout=300)
                r["res_label"] = rlabel; r["res_title"] = rtitle
                r["grown_path"] = str(save) if r.get("ok") else None
                status = f"{r.get('total_ms')}ms" if r.get("ok") else f"FAIL:{r.get('error','')[:30]}"
                print(f"    -> {status}", flush=True)
                cells.append(r)
            rows.append({"img": ilabel, "img_path": ipath,
                         "hair_num": hnum, "hair_key": hkey, "hair_name": hname,
                         "cells": cells})
    with open(OUT / "results.json", "w", encoding="utf-8") as f:
        json.dump({"res_titles": RES_TITLES, "prompt": PROMPT, "rows": rows}, f, ensure_ascii=False, indent=2)
    ok = sum(1 for row in rows for c in row["cells"] if c.get("ok"))
    print(f"\n✓ 完成: {ok}/{len(rows)*len(RES_LIST)} 成功 -> {OUT/'results.json'}", flush=True)


if __name__ == "__main__":
    main()