various fix

backend/Dockerfile

@@ -16,10 +16,14 @@ RUN sed -i \
 RUN apt-get update && apt-get install -y --no-install-recommends \
     docker.io \
     ffmpeg \
+    fontconfig \
+    fonts-noto-cjk \
+    fonts-wqy-microhei \
     libgl1 \
     libglib2.0-0 \
     libgomp1 \
     libxcb1 \
+    && fc-cache -fv \
     && rm -rf /var/lib/apt/lists/*
 
 # ghcr.io：「增加前缀」形式（与 kindest/node 示例一致）

backend/algorithm_subprocesses/5.15/visualize_result_video.py

@@ -43,7 +43,9 @@ class SegmentRow:
 _FONT_CANDIDATES = [
     Path("/usr/share/fonts/opentype/noto/NotoSansCJK-Regular.ttc"),
     Path("/usr/share/fonts/opentype/noto/NotoSerifCJK-Regular.ttc"),
+    Path("/usr/share/fonts/truetype/noto/NotoSansCJK-Regular.ttc"),
     Path("/usr/share/fonts/truetype/wqy/wqy-microhei.ttc"),
+    Path("/usr/share/fonts/truetype/wqy/wqy-zenhei.ttc"),
 ]
 
 

backend/app/algo_host/cjk_font.py

@@ -0,0 +1,21 @@
+"""Resolve a CJK-capable font for offline visualization subprocesses."""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+# Keep in sync with algorithm_subprocesses/5.15/visualize_result_video.py
+CJK_FONT_CANDIDATES: tuple[Path, ...] = (
+    Path("/usr/share/fonts/opentype/noto/NotoSansCJK-Regular.ttc"),
+    Path("/usr/share/fonts/opentype/noto/NotoSerifCJK-Regular.ttc"),
+    Path("/usr/share/fonts/truetype/noto/NotoSansCJK-Regular.ttc"),
+    Path("/usr/share/fonts/truetype/wqy/wqy-microhei.ttc"),
+    Path("/usr/share/fonts/truetype/wqy/wqy-zenhei.ttc"),
+)
+
+
+def resolve_cjk_font_path() -> Path | None:
+    for candidate in CJK_FONT_CANDIDATES:
+        if candidate.is_file():
+            return candidate.resolve()
+    return None

backend/app/algo_host/subprocess_runner.py

@@ -11,6 +11,7 @@ from pathlib import Path
 from loguru import logger
 
 from app.algo_host.bundle import load_reference_default_config, resolve_bundle_relative_path
+from app.algo_host.cjk_font import resolve_cjk_font_path
 from app.algo_host.transcode import VISUALIZATION_MAX_WIDTH
 
 
@@ -46,7 +47,7 @@ def build_visualization_command(
     device_cfg = cfg.get("device") if isinstance(cfg.get("device"), dict) else {}
     hand_raw = str((weights or {}).get("hand") or "weights/hand_detect.pt").strip()
     hand_model = resolve_bundle_relative_path(bundle_dir, hand_raw)
-    return [
+    cmd = [
         sys.executable,
         "-X",
         "faulthandler",
@@ -64,6 +65,10 @@ def build_visualization_command(
         "--max-width",
         str(VISUALIZATION_MAX_WIDTH),
     ]
+    font_path = resolve_cjk_font_path()
+    if font_path is not None:
+        cmd.extend(["--font-path", str(font_path)])
+    return cmd
 
 
 def _signal_name(signum: int) -> str:

backend/tests/test_algo_host_batch.py

@@ -266,6 +266,32 @@ def test_build_visualization_command_uses_hand_model_and_result_tsv(
     assert cmd[cmd.index("--max-width") + 1] == str(VISUALIZATION_MAX_WIDTH)
 
 
+def test_build_visualization_command_passes_font_path_when_available(
+    monkeypatch: pytest.MonkeyPatch,
+    tmp_path: Path,
+) -> None:
+    bundle = tmp_path / "bundle"
+    write_minimal_reference_bundle(bundle)
+    (bundle / "weights").mkdir()
+    (bundle / "weights" / "hand_detect.pt").write_bytes(b"fake")
+    (bundle / "visualize_result_video.py").write_text("# fake\n", encoding="utf-8")
+    font = tmp_path / "NotoSansCJK-Regular.ttc"
+    font.write_bytes(b"fake-font")
+    monkeypatch.setattr(
+        "app.algo_host.subprocess_runner.resolve_cjk_font_path",
+        lambda: font,
+    )
+
+    cmd = build_visualization_command(
+        bundle_dir=bundle,
+        video_path=tmp_path / "input.mp4",
+        result_path=tmp_path / "result.tsv",
+        output_video_path=tmp_path / "result_vis.mp4",
+    )
+
+    assert cmd[cmd.index("--font-path") + 1] == str(font)
+
+
 def test_build_batch_main_command_uses_5_15_main_py(tmp_path: Path) -> None:
     cmd = build_batch_main_command(
         bundle_dir=tmp_path / "algorithm_subprocesses" / "5.15",

clients/demo-client/app.js

@@ -12,6 +12,7 @@
   let allLabels = [];
   let selectedConsumables = new Set();
   let lastVideoBatchDoctorDisplay = "";
+  let videoVisToken = 0;
   const webcamSlotState = {};
 
   const baseUrl = () => $("base-url").value.trim().replace(/\/+$/, "");
@@ -299,6 +300,7 @@
         : mode === "live-simulated"
           ? "链路 2 · 模拟实时"
           : "链路 3 · 离线精确";
+    if (mode !== "offline-batch") hideVideoBatchVisualization();
     refreshRecordingModesStatus();
   }
 
@@ -358,39 +360,119 @@
     }
   }
 
-  function hideVideoBatchVisualization() {
+  function sleep(ms) {
+    return new Promise((resolve) => setTimeout(resolve, ms));
+  }
+
+  function cancelVideoBatchVisualization() {
+    videoVisToken += 1;
     const wrap = $("video-batch-vis");
     const player = $("video-batch-vis-player");
+    const hint = $("video-batch-vis-hint");
     if (wrap) wrap.classList.add("hidden");
     if (player) {
+      player.onerror = null;
+      player.onloadeddata = null;
       player.removeAttribute("src");
       player.load();
     }
+    if (hint) hint.textContent = "";
   }
 
-  function showVideoBatchVisualization(sid, urlPath, doctorDisplay) {
+  function hideVideoBatchVisualization() {
+    cancelVideoBatchVisualization();
+  }
+
+  function revealVideoBatchVisualization() {
+    const wrap = $("video-batch-vis");
+    if (wrap) wrap.classList.remove("hidden");
+  }
+
+  function loadVideoWhenReady(player, src, token, timeoutMs = 15000) {
+    return new Promise((resolve) => {
+      if (token !== videoVisToken) {
+        resolve(false);
+        return;
+      }
+      let settled = false;
+      const finish = (ok) => {
+        if (settled) return;
+        settled = true;
+        clearTimeout(timer);
+        player.onerror = null;
+        player.onloadeddata = null;
+        if (!ok) {
+          player.removeAttribute("src");
+          player.load();
+        }
+        resolve(ok);
+      };
+      const timer = setTimeout(() => finish(false), timeoutMs);
+      player.onerror = () => finish(false);
+      player.onloadeddata = () => finish(true);
+      player.src = src;
+      player.load();
+    });
+  }
+
+  async function waitForVideoBatchVisualization(sid, urlPath, doctorDisplay) {
     const wrap = $("video-batch-vis");
     const player = $("video-batch-vis-player");
     const hint = $("video-batch-vis-hint");
     if (!wrap || !player) return;
+
+    const token = ++videoVisToken;
     const path = urlPath || `/internal/demo/offline-batch/${sid}/visualization`;
-    const src = baseUrl() + path + "?t=" + Date.now();
-    wrap.classList.remove("hidden");
-    const docEl = $("video-batch-doctor-info");
-    const text = (doctorDisplay || lastVideoBatchDoctorDisplay || "").trim();
-    if (docEl) {
-      docEl.textContent = text ? "识别医生：" + text : "";
-      docEl.style.display = text ? "block" : "none";
+    const base = baseUrl() + path;
+    const pollIntervalMs = 3000;
+    const maxAttempts = 120;
+
+    wrap.classList.add("hidden");
+    showVideoBatchDoctorInfo(doctorDisplay || lastVideoBatchDoctorDisplay);
+    if (hint) hint.textContent = "";
+
+    for (let attempt = 0; attempt < maxAttempts; attempt++) {
+      if (token !== videoVisToken) return;
+      const src = base + "?t=" + Date.now();
+      const loaded = await loadVideoWhenReady(player, src, token);
+      if (token !== videoVisToken) return;
+      if (loaded) {
+        revealVideoBatchVisualization();
+        if (hint) hint.textContent = "标注视频已加载";
+        player.onerror = () => {
+          if (hint) {
+            hint.textContent = "视频加载失败，请稍后重试或新标签页打开链接。";
+          }
+        };
+        showBanner("标注视频已就绪", "ok");
+        return;
+      }
+      if (attempt === 0) {
+        showBanner("标注视频生成中，就绪后自动展示…", "info");
+      }
+      await sleep(pollIntervalMs);
     }
-    player.onerror = () => {
-      if (hint) hint.textContent = "视频加载失败，请稍后重试或新标签页打开链接。";
-    };
-    player.onloadeddata = () => {
-      if (hint) hint.textContent = "标注视频已加载";
-    };
-    player.src = src;
-    player.load();
-    if (hint) hint.textContent = "正在加载…";
+
+    if (token === videoVisToken) {
+      showBanner("标注视频尚未就绪，请稍后点击「查询结果」重试", "warn");
+    }
+  }
+
+  function showVideoBatchDoctorInfo(displayText) {
+    const el = $("video-batch-doctor-info");
+    if (!el) return;
+    const text = (displayText || "").trim();
+    if (!text) {
+      el.textContent = "";
+      el.style.display = "none";
+      return;
+    }
+    el.textContent = "识别医生：" + text;
+    el.style.display = "block";
+  }
+
+  function showVideoBatchVisualization(sid, urlPath, doctorDisplay) {
+    void waitForVideoBatchVisualization(sid, urlPath, doctorDisplay);
   }
 
   function getDebugStreamCount() {
@@ -563,9 +645,12 @@
         lastVideoBatchDoctorDisplay = body?.doctor_display || "";
         if ($("offline-batch-include-vis")?.checked && body?.visualization_url) {
           showVideoBatchVisualization(sid, body.visualization_url, lastVideoBatchDoctorDisplay);
-        } else hideVideoBatchVisualization();
+        } else {
+          hideVideoBatchVisualization();
+          showVideoBatchDoctorInfo(lastVideoBatchDoctorDisplay);
+        }
         showBanner("离线处理完成，正在查询结果…", "ok");
-        await handleResult();
+        await handleResult({ skipVisualization: true });
         return;
       }
 
@@ -647,10 +732,14 @@
     }
   }
 
-  async function handleResult() {
+  async function handleResult(options = {}) {
     const sid = ensureSurgeryId();
     if (!sid) return;
-    if (getRunMode() === "offline-batch" && $("offline-batch-include-vis")?.checked) {
+    if (
+      !options.skipVisualization &&
+      getRunMode() === "offline-batch" &&
+      $("offline-batch-include-vis")?.checked
+    ) {
       showVideoBatchVisualization(sid, null);
     } else if (getRunMode() !== "offline-batch") {
       hideVideoBatchVisualization();
@@ -664,6 +753,9 @@
       return;
     }
     const { details = [], summary = [] } = body;
+    if (getRunMode() === "offline-batch") {
+      showVideoBatchDoctorInfo(details[0]?.doctor_id || lastVideoBatchDoctorDisplay);
+    }
     const renderTable = (title, rows, cols) => {
       const h = document.createElement("h3");
       h.textContent = title;
@@ -686,11 +778,13 @@
     };
     renderTable("消耗明细", details, [
       { key: "timestamp", label: "时间" },
+      { key: "item_id", label: "耗材 ID" },
       { key: "item_name", label: "耗材" },
       { key: "qty", label: "数量" },
-      { key: "doctor_id", label: "医生" },
+      { key: "doctor_id", label: "医生（姓名+ID）" },
     ]);
     renderTable("汇总", summary, [
+      { key: "item_id", label: "耗材 ID" },
       { key: "item_name", label: "耗材" },
       { key: "total_quantity", label: "合计" },
     ]);

clients/demo-client/index.html

@@ -191,8 +191,8 @@
 
         <section class="card">
           <h2>结果</h2>
+          <p id="video-batch-doctor-info" class="labels-meta"></p>
           <div id="video-batch-vis" class="vis-block hidden">
-            <p id="video-batch-doctor-info" class="labels-meta"></p>
             <video id="video-batch-vis-player" controls playsinline></video>
             <p id="video-batch-vis-hint" class="stream-hint"></p>
           </div>

docs/Docker部署.md

@@ -26,6 +26,7 @@ operation-room-monitor/
 - Docker Compose V2、NVIDIA 驱动、NVIDIA Container Toolkit
 - 复制 `backend/.env.example` 为 `backend/.env` 并填写
 - 算法子进程包：`backend/algorithm_subprocesses/5.15/`（含 `main.py` 与 `weights/`；镜像构建时会 `COPY` 进容器，勿在 `.dockerignore` 中整目录排除）
+- 标注视频中文字体：镜像内已安装 `fonts-noto-cjk`、`fonts-wqy-microhei`（供 `visualize_result_video.py` 绘制耗材标签）
 - 可选备用权重：`backend/app/resources/actionformer_epoch_045.pth.tar`
 
 ---