feat(接口2): ComfyUI重绘分辨率默认改为1024 + wave测试套件 + 报告统一部署
- hairline/service.py: _REDRAW_MAX_SIDE 默认 896→1024 逻辑: 输入图长边>1024 才缩到1024; ≤1024 原图分辨率直送(不放大) male路径_GROW_B_MAX_SIDE 已是1024,行为一致 - static/test_interface2.html: 分辨率下拉选项标签同步(默认1024/>1024才缩) - image/wave_test/: wave发型5档分辨率对比测试(21图×5档=105次,全成功) batch_test.py/gen_report.py/report-server-wave.service - image/reports/: 报告统一HTTP服务(单端口8850,路径区分/wave /v2 /v1) 含索引页index.html + report-server.service + 三报告软链接 - .gitignore: 补充 wave_test/out/ 及运行期文件忽略规则
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#!/usr/bin/env python3
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"""生成 v3 wave发型 分辨率对比报告：每行=原图+5档，21行；含各档耗时统计。"""
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import json, os, html
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OUT = "/home/ubuntu/hair/image/wave_test/out"
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REPORT = os.path.join(OUT, "report.html")
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results = json.load(open(os.path.join(OUT, "report.json")))
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SIDES = [("origin", "原图直送", 0), ("s1024", "1024", 1024),
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("s896", "896", 896), ("s768", "768", 768), ("s640", "640", 640)]
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# 图片顺序（与测试脚本一致）：girl_img 排序 + asdf + qwer
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IMG_DIR = "/home/ubuntu/hair/image"
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IMAGES = []
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for f in sorted(os.listdir(os.path.join(IMG_DIR, "girl_img"))):
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if f.lower().endswith((".jpg", ".jpeg", ".png")):
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IMAGES.append(os.path.splitext(f)[0])
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IMAGES.append("asdf")
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IMAGES.append("qwer")
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def get(img, side):
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for r in results:
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if r["img"] == img and r["side"] == side:
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return r
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return None
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# 统计
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total = len(results)
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ok = sum(1 for r in results if r["ok"])
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# 各档统计
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def avg(side):
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ts = [r["elapsed"] for r in results if r["side"] == side and r["ok"]]
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return sum(ts)/len(ts) if ts else 0
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avgs = {s[0]: avg(s[0]) for s in SIDES}
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# 速度色阶
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all_t = sorted(r["elapsed"] for r in results if r["ok"])
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tmin, tmax = all_t[0], all_t[-1]
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def speed_color(t):
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if tmax == tmin: return "#16a34a"
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ratio = (t - tmin) / (tmax - tmin)
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if ratio < 0.33: return "#16a34a"
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elif ratio < 0.66: return "#f59e0b"
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else: return "#dc2626"
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# 表格行
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rows_html = []
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for img in IMAGES:
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orig_cell = (f'<td class="cell orig">'
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f'<div class="thumb"><img loading="lazy" src="orig_{img}.jpg" '
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f'onclick="openImg(this.src)" alt="原图"></div>'
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f'<div class="meta">📷 原图</div></td>')
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side_cells = []
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for side_name, side_lbl, side_val in SIDES:
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r = get(img, side_name)
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if r and r["ok"]:
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col = speed_color(r["elapsed"])
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cell = (f'<td class="cell">'
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f'<div class="thumb"><img loading="lazy" src="{r["key"]}.jpg" '
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f'onclick="openImg(this.src)" alt="{html.escape(r["key"])}"></div>'
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f'<div class="meta"><b style="color:{col}">{r["elapsed"]}s</b></div></td>')
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elif r:
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cell = (f'<td class="cell fail"><div class="thumb noimg">❌</div>'
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f'<div class="meta err">{html.escape(r["err"][:30])}</div></td>')
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else:
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cell = '<td class="cell fail"><div class="thumb noimg">—</div></td>'
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side_cells.append(cell)
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rows_html.append("<tr>" + orig_cell + "".join(side_cells) + "</tr>")
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# 各档统计卡
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def stat_card(lbl, val, col, rng=""):
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return (f'<div class="stat" style="border-left:3px solid {col}">'
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f'<div class="num" style="color:{col}">{val:.1f}s</div>'
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f'<div class="lbl">{lbl}{rng}</div></div>')
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stat_cards = "".join([
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stat_card("原图直送(0)", avgs["origin"], "#dc2626"),
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stat_card("1024", avgs["s1024"], "#f59e0b"),
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stat_card("896", avgs["s896"], "#2563eb"),
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stat_card("768", avgs["s768"], "#16a34a"),
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stat_card("640", avgs["s640"], "#0d9488"),
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])
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html_doc = f"""<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>wave发型 5档分辨率对比</title>
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<style>
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* {{ box-sizing: border-box; margin: 0; padding: 0; }}
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body {{ font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "PingFang SC", "Microsoft YaHei", sans-serif; background: #f3f4f6; color: #1f2937; line-height: 1.5; padding: 16px; }}
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.wrap {{ max-width: 100%; margin: 0 auto; }}
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h1 {{ font-size: 22px; margin-bottom: 4px; }}
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.sub {{ color: #6b7280; font-size: 12px; margin-bottom: 16px; }}
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.stats {{ display: flex; gap: 10px; margin-bottom: 16px; flex-wrap: wrap; }}
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.stat {{ background: #fff; border-radius: 8px; padding: 12px 14px; box-shadow: 0 1px 3px rgba(0,0,0,.06); flex: 1; min-width: 110px; }}
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.stat .num {{ font-size: 22px; font-weight: 700; }}
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.stat .lbl {{ font-size: 11px; color: #6b7280; margin-top: 2px; }}
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.summary-bar {{ background: #fff; border-radius: 8px; padding: 12px 16px; margin-bottom: 16px; box-shadow: 0 1px 3px rgba(0,0,0,.06); font-size: 13px; }}
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.summary-bar b {{ color: #dc2626; }}
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.legend {{ display: inline-flex; gap: 12px; font-size: 11px; color: #6b7280; margin-left: 12px; }}
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.legend span {{ display: inline-flex; align-items: center; gap: 4px; }}
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.legend i {{ width: 10px; height: 10px; border-radius: 2px; display: inline-block; }}
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.table-wrap {{ overflow-x: auto; background: #fff; border-radius: 10px; box-shadow: 0 1px 4px rgba(0,0,0,.07); }}
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table {{ border-collapse: collapse; min-width: 100%; }}
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th, td {{ vertical-align: top; }}
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thead th {{ position: sticky; top: 0; background: #f9fafb; z-index: 2; padding: 10px 8px; font-size: 12px; color: #374151; border-bottom: 2px solid #e5e7eb; text-align: center; }}
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thead th.orig-h {{ background: #fef3c7; }}
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tbody td {{ border-bottom: 1px solid #f3f4f6; padding: 8px; }}
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tbody tr:hover {{ background: #f9fafb; }}
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.cell {{ width: 200px; min-width: 200px; text-align: center; }}
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.cell.orig {{ background: #fffbeb; }}
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.thumb {{ background: #1f2937; border-radius: 6px; overflow: hidden; margin-bottom: 4px; cursor: zoom-in; }}
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.thumb img {{ width: 100%; height: 260px; object-fit: contain; display: block; }}
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.thumb.noimg {{ color: #d1d5db; font-size: 16px; padding: 110px 0; text-align: center; }}
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.meta {{ font-size: 11px; color: #6b7280; }}
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.meta.err {{ color: #dc2626; }}
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.overlay {{ display: none; position: fixed; inset: 0; background: rgba(0,0,0,.92); z-index: 999; justify-content: center; align-items: center; cursor: zoom-out; padding: 24px; }}
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.overlay.active {{ display: flex; }}
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.overlay img {{ max-width: 96%; max-height: 96%; object-fit: contain; border-radius: 4px; }}
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</style>
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</head>
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<body>
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<div class="wrap">
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<h1>💇 wave发型 · 5档分辨率对比报告</h1>
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<p class="sub">POST /api/v1/hair/grow · female · wave(波浪) · 21 图 × 5 档分辨率 = 105 次 · 串行 · 4090 (24G)</p>
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<div class="stats">
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<div class="stat" style="border-left:3px solid #16a34a"><div class="num" style="color:#16a34a">{ok}/{total}</div><div class="lbl">成功 / 总数</div></div>
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{stat_cards}
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</div>
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<div class="summary-bar">
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📊 <b>结论：</b>耗时随分辨率单调下降。<b>大图(asdf 1666/qwer 1678) 原图直送需 24~26s，是 1024 档(11s) 的 2.3 倍</b>；
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中小图(≤1024) 各档差异较小(6~13s)，因小图本身不触发缩图。
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<b>4090 24G 全程无 OOM</b>，105/105 成功。<b>画质对比</b>见下表（横向滑动），点击任意图可放大。
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<span class="legend">
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<span><i style="background:#16a34a"></i>快(<{(tmin+(tmax-tmin)*0.33):.0f}s)</span>
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<span><i style="background:#f59e0b"></i>中等</span>
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<span><i style="background:#dc2626"></i>慢(>{(tmin+(tmax-tmin)*0.66):.0f}s)</span>
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</span>
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</div>
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<div class="table-wrap">
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<table>
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<thead>
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<tr>
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<th class="orig-h">📷 原图</th>
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<th>原图直送 (0)<br><span class="dim">不缩放</span></th>
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<th>1024</th>
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<th>896<br><span class="dim">默认</span></th>
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<th>768</th>
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<th>640</th>
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</tr>
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</thead>
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<tbody>
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{"".join(rows_html)}
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</tbody>
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</table>
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</div>
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</div>
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<div class="overlay" id="overlay" onclick="this.classList.remove('active')"><img id="overlayImg" src=""></div>
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<script>
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function openImg(src) {{
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document.getElementById('overlayImg').src = src;
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document.getElementById('overlay').classList.add('active');
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}}
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</script>
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</body>
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</html>
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"""
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with open(REPORT, "w") as f:
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f.write(html_doc)
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print(f"已生成: {REPORT}")
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