一键部署：主程序+OCR同机(screen/GPU)，Ollama外置局域网。

.env.example

@@ -17,7 +17,8 @@ CORS_ORIGINS=http://127.0.0.1:23566,http://localhost:23566
 OLLAMA_BASE_URL=http://127.0.0.1:11434
 OLLAMA_MODEL=qwen2.5:7b
 # 局域网 GPU OCR 服务（deploy/ocr-worker），留空则本机 CPU 识别
-OCR_SERVICE_URL=
+OCR_SERVICE_URL=http://127.0.0.1:23567
+OCR_PORT=23567
 OCR_API_KEY=
 OPENAI_BASE_URL=https://api.openai.com/v1
 OPENAI_MODEL=gpt-4o-mini

backend/app/core/config.py

@@ -25,7 +25,7 @@ class Settings(BaseSettings):
     OCR_MAX_SIDE: int = 1280
     UPLOAD_MAX_SIDE: int = 2048
     OCR_WARMUP: bool = True
-    OCR_SERVICE_URL: str = ""
+    OCR_SERVICE_URL: str = "http://127.0.0.1:23567"
     OCR_API_KEY: str = ""
     OCR_USE_GPU: bool = False
 

backend/app/services/seed.py

@@ -37,6 +37,7 @@ def seed_admin_and_settings(db: Session) -> None:
                 ollama_model=settings.OLLAMA_MODEL,
                 openai_base_url=settings.OPENAI_BASE_URL,
                 openai_model=settings.OPENAI_MODEL,
+                ocr_service_url=settings.OCR_SERVICE_URL or None,
             )
         )
     else:
@@ -48,6 +49,8 @@ def seed_admin_and_settings(db: Session) -> None:
             row.openai_base_url = settings.OPENAI_BASE_URL
         if not row.openai_model:
             row.openai_model = settings.OPENAI_MODEL
+        if not row.ocr_service_url and settings.OCR_SERVICE_URL:
+            row.ocr_service_url = settings.OCR_SERVICE_URL
         if not row.ai_provider:
             row.ai_provider = "ollama"
 

deploy/install.sh

@@ -1,6 +1,7 @@
 #!/usr/bin/env bash
 #
-# 中学成绩档案系统 — Ubuntu 零 Node 一键部署（FastAPI 单进程 + systemd）
+# 中学成绩档案系统 — 一键部署
+# 架构：主程序 + OCR(GPU/screen 同机) | Ollama(其他电脑局域网)
 # 版权所有 (c) 马建军  微信: dekun03  手机: 18364911125
 #
 set -euo pipefail
@@ -8,8 +9,12 @@ set -euo pipefail
 REPO_URL="${REPO_URL:-https://git.bz121.com/dekun/secondary-school-grade-archive.git}"
 INSTALL_DIR="${INSTALL_DIR:-/opt/secondary-school-grade-archive}"
 WEB_PORT="${WEB_PORT:-23566}"
+OCR_PORT="${OCR_PORT:-23567}"
 BRANCH="${BRANCH:-main}"
 PIP_MIRROR="${PIP_MIRROR:-https://pypi.tuna.tsinghua.edu.cn/simple}"
+# Ollama 在其他电脑时安装前指定，例如: OLLAMA_BASE_URL=http://192.168.8.100:11434
+OLLAMA_BASE_URL="${OLLAMA_BASE_URL:-}"
+OLLAMA_MODEL="${OLLAMA_MODEL:-qwen2.5:7b}"
 
 RED='\033[0;31m'
 GREEN='\033[0;32m'
@@ -22,6 +27,8 @@ log_error() { echo -e "${RED}[ERROR]${NC} $*" >&2; }
 
 # shellcheck source=proxy.sh
 source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/proxy.sh"
+# shellcheck source=ocr-common.sh
+source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/ocr-common.sh"
 
 require_root() {
   if [[ "${EUID:-$(id -u)}" -ne 0 ]]; then
@@ -41,18 +48,41 @@ check_os() {
 }
 
 check_port() {
-  if command -v ss &>/dev/null && ss -tln | grep -q ":${WEB_PORT} "; then
+  for p in "${WEB_PORT}" "${OCR_PORT}"; do
+    if command -v ss &>/dev/null && ss -tln | grep -q ":${p} "; then
+      if [[ "${p}" == "${OCR_PORT}" ]] && ocr_screen_running 2>/dev/null; then
+        log_warn "端口 ${OCR_PORT} 已被占用（可能已有 OCR Worker）"
+      elif [[ "${p}" == "${WEB_PORT}" ]]; then
         log_error "端口 ${WEB_PORT} 已被占用"
         exit 1
       fi
-  log_info "端口 ${WEB_PORT} 可用"
+    fi
+  done
+  log_info "Web 端口 ${WEB_PORT} / OCR 端口 ${OCR_PORT} 检查完成"
+}
+
+prompt_ollama_url() {
+  if [[ -n "${OLLAMA_BASE_URL}" ]]; then
+    log_info "Ollama 地址: ${OLLAMA_BASE_URL}"
+    return
+  fi
+  if [[ -t 0 ]]; then
+    echo ""
+    echo "Ollama 部署在【其他电脑】上，请填写局域网地址。"
+    read -rp "Ollama 地址 [http://192.168.8.100:11434]: " input
+    OLLAMA_BASE_URL="${input:-http://192.168.8.100:11434}"
+  else
+    OLLAMA_BASE_URL="http://127.0.0.1:11434"
+    log_warn "未设置 OLLAMA_BASE_URL，默认 ${OLLAMA_BASE_URL}（可在 .env 或系统设置中修改）"
+  fi
+  log_info "Ollama 地址: ${OLLAMA_BASE_URL}"
 }
 
 install_base_packages() {
   log_info "安装系统依赖…"
   apt-get update -qq
   DEBIAN_FRONTEND=noninteractive apt-get install -y -qq \
-    git curl ca-certificates openssl \
+    git curl ca-certificates openssl screen \
     python3 python3-venv python3-pip python3-dev \
     build-essential libpq-dev \
     postgresql postgresql-contrib \
@@ -72,16 +102,27 @@ clone_or_update_repo() {
     git clone --branch "${BRANCH}" "${REPO_URL}" "${INSTALL_DIR}" || git clone "${REPO_URL}" "${INSTALL_DIR}"
   fi
   find "${INSTALL_DIR}" -name "*.sh" -exec sed -i 's/\r$//' {} +
-  chmod +x "${INSTALL_DIR}/deploy/start.sh"
+  chmod +x "${INSTALL_DIR}/deploy/start.sh" \
+    "${INSTALL_DIR}/deploy/ocr-screen.sh" \
+    "${INSTALL_DIR}/deploy/ocr-worker/"*.sh 2>/dev/null || true
 }
 
 verify_frontend_dist() {
   if [[ ! -f "${INSTALL_DIR}/frontend/dist/index.html" ]]; then
     log_error "未找到 frontend/dist/index.html"
-    log_error "请先在开发机执行: cd frontend && npm run build，并将 dist 推送到仓库后再部署"
+    log_error "仓库应已包含预构建前端；若缺失请在开发机 npm run build 后推送"
     exit 1
   fi
-  log_info "前端静态资源已就绪（无需在服务器构建）"
+  log_info "前端静态资源已就绪"
+}
+
+env_set_or_append() {
+  local key="$1" val="$2" file="${INSTALL_DIR}/.env"
+  if grep -q "^${key}=" "${file}" 2>/dev/null; then
+    sed -i "s|^${key}=.*|${key}=${val}|" "${file}"
+  else
+    echo "${key}=${val}" >> "${file}"
+  fi
 }
 
 generate_env() {
@@ -90,11 +131,9 @@ generate_env() {
   server_ip=$(hostname -I 2>/dev/null | awk '{print $1}')
   server_ip="${server_ip:-127.0.0.1}"
 
-  if [[ -f "${env_file}" ]]; then
+  prompt_ollama_url
-    log_info "保留已有 .env"
-    return
-  fi
 
+  if [[ ! -f "${env_file}" ]]; then
     local secret pg_pass pg_user
     secret=$(openssl rand -hex 32)
     pg_pass=$(openssl rand -hex 16)
@@ -111,14 +150,25 @@ POSTGRES_DB=student_archive
 DATABASE_URL=postgresql://${pg_user}:${pg_pass}@127.0.0.1:5432/student_archive
 UPLOAD_DIR=${INSTALL_DIR}/uploads
 CORS_ORIGINS=http://${server_ip}:${WEB_PORT},http://127.0.0.1:${WEB_PORT},http://localhost:${WEB_PORT}
-OLLAMA_BASE_URL=http://127.0.0.1:11434
+# OCR 同机 GPU Worker（screen 常驻）
-OLLAMA_MODEL=qwen2.5:7b
+OCR_SERVICE_URL=http://127.0.0.1:${OCR_PORT}
+OCR_PORT=${OCR_PORT}
+# Ollama 在其他电脑（局域网）
+OLLAMA_BASE_URL=${OLLAMA_BASE_URL}
+OLLAMA_MODEL=${OLLAMA_MODEL}
 FLUCTUATION_THRESHOLD=0.08
 ADMIN_DEFAULT_USERNAME=admin
 ADMIN_DEFAULT_PASSWORD=admin123
 EOF
     chmod 600 "${env_file}"
-  log_info ".env 已生成（默认超级管理员 admin / admin123，请登录后修改）"
+    log_info ".env 已生成（默认 admin / admin123）"
+  else
+    log_info "更新 .env 中的 OCR / Ollama 配置…"
+    env_set_or_append "OCR_SERVICE_URL" "http://127.0.0.1:${OCR_PORT}"
+    env_set_or_append "OCR_PORT" "${OCR_PORT}"
+    env_set_or_append "OLLAMA_BASE_URL" "${OLLAMA_BASE_URL}"
+    env_set_or_append "OLLAMA_MODEL" "${OLLAMA_MODEL}"
+  fi
 }
 
 setup_postgresql() {
@@ -141,9 +191,11 @@ setup_postgresql() {
 }
 
 setup_backend() {
-  log_info "安装 Python 依赖（Paddle 包较大，约 10–30 分钟）…"
+  log_info "安装主程序 Python 依赖…"
   cd "${INSTALL_DIR}/backend"
+  if [[ ! -d venv ]]; then
     python3 -m venv venv
+  fi
   # shellcheck disable=SC1091
   source venv/bin/activate
   pip install --upgrade pip --progress-bar on -i "${PIP_MIRROR}"
@@ -151,16 +203,28 @@ setup_backend() {
   deactivate
 }
 
+setup_ocr_gpu() {
+  if command -v nvidia-smi >/dev/null; then
+    log_info "检测到 NVIDIA GPU，OCR 将常驻显存 (screen)"
+    nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>/dev/null || true
+  else
+    log_warn "未检测到 NVIDIA GPU，OCR 将使用 CPU（较慢）"
+  fi
+  install_ocr_worker
+  start_ocr_screen
+  wait_ocr_healthy || log_warn "OCR 仍在加载模型，稍后可执行: bash ${INSTALL_DIR}/deploy/ocr-screen.sh status"
+}
+
 stop_legacy_pm2() {
   if command -v pm2 &>/dev/null; then
     pm2 delete grade-api grade-web 2>/dev/null || true
     pm2 save 2>/dev/null || true
-    log_info "已停止旧版 PM2 进程（grade-api / grade-web）"
+    log_info "已停止旧版 PM2 进程"
   fi
 }
 
 setup_systemd() {
-  log_info "配置 systemd 服务…"
+  log_info "配置 systemd 服务 grade-archive（主程序）…"
   sed "s|/opt/secondary-school-grade-archive|${INSTALL_DIR}|g" \
     "${INSTALL_DIR}/deploy/grade-archive.service" > /etc/systemd/system/grade-archive.service
   systemctl daemon-reload
@@ -168,7 +232,7 @@ setup_systemd() {
 }
 
 start_service() {
-  log_info "启动服务…"
+  log_info "启动主程序…"
   cd "${INSTALL_DIR}"
   mkdir -p uploads backups
   systemctl restart grade-archive
@@ -178,48 +242,58 @@ wait_healthy() {
   local i
   for i in $(seq 1 40); do
     if curl -sf "http://127.0.0.1:${WEB_PORT}/api/health" >/dev/null; then
-      log_info "健康检查通过"
+      log_info "主程序健康检查通过"
       return 0
     fi
     sleep 3
   done
-  log_warn "健康检查超时，请查看: journalctl -u grade-archive -f"
+  log_warn "主程序健康检查超时: journalctl -u grade-archive -f"
 }
 
 print_summary() {
+  # shellcheck disable=SC1090
+  source "${INSTALL_DIR}/.env"
   local ip
   ip=$(hostname -I 2>/dev/null | awk '{print $1}')
   ip="${ip:-127.0.0.1}"
   echo ""
   echo "=========================================="
-  echo "  中学成绩档案系统部署完成（零 Node）"
+  echo "  中学成绩档案 — 一键部署完成"
   echo "  版权所有 (c) 马建军"
   echo "=========================================="
   echo "  访问:     http://${ip}:${WEB_PORT}"
-  echo "  目录: ${INSTALL_DIR}"
+  echo "  管理员:   admin / admin123（请立即修改）"
-  echo "  默认管理员: admin / admin123（请立即修改）"
   echo ""
-  echo "  systemctl status grade-archive"
+  echo "  【同机 OCR — GPU 常驻 screen】"
-  echo "  journalctl -u grade-archive -f"
+  echo "  OCR 地址: http://127.0.0.1:${OCR_PORT}"
-  echo "  bash ${INSTALL_DIR}/deploy/update.sh"
+  echo "  状态:     bash ${INSTALL_DIR}/deploy/ocr-screen.sh status"
-  echo "  bash ${INSTALL_DIR}/deploy/backup.sh"
+  echo "  进入终端: screen -r ocr-worker  (Ctrl+A D 退出)"
+  echo "  重启 OCR: bash ${INSTALL_DIR}/deploy/ocr-screen.sh restart"
   echo ""
+  echo "  【Ollama — 其他电脑】"
+  echo "  地址:     ${OLLAMA_BASE_URL}"
+  echo "  模型:     ${OLLAMA_MODEL}"
+  echo "  可在「系统设置 → AI 模型」修改"
+  echo ""
+  echo "  主程序:   systemctl status grade-archive"
+  echo "  更新:     sudo bash ${INSTALL_DIR}/deploy/update.sh"
   echo "  微信 dekun03  手机 18364911125"
   echo "=========================================="
 }
 
 main() {
-  log_info "零 Node 一键部署开始"
+  log_info "一键部署开始（主程序 + OCR/GPU/screen | Ollama 外置）"
   require_root
   setup_deploy_proxy
   check_os
-  check_port
-  install_base_packages
   clone_or_update_repo
   verify_frontend_dist
+  check_port
+  install_base_packages
   generate_env
   setup_postgresql
   setup_backend
+  setup_ocr_gpu
   stop_legacy_pm2
   setup_systemd
   start_service

deploy/ocr-common.sh

@@ -0,0 +1,90 @@
+#!/usr/bin/env bash
+# OCR Worker 共用函数：同机 GPU 识别 + screen 常驻
+OCR_SCREEN_NAME="${OCR_SCREEN_NAME:-ocr-worker}"
+OCR_PORT="${OCR_PORT:-23567}"
+
+ocr_worker_dir() {
+  echo "${INSTALL_DIR}/deploy/ocr-worker"
+}
+
+install_ocr_worker() {
+  local worker_dir
+  worker_dir="$(ocr_worker_dir)"
+  if [[ ! -d "${worker_dir}" ]]; then
+    log_error "未找到 ${worker_dir}"
+    return 1
+  fi
+  log_info "安装/更新 OCR Worker (PaddleOCR GPU)…"
+  chmod +x "${worker_dir}"/*.sh 2>/dev/null || true
+  OCR_PORT="${OCR_PORT}" bash "${worker_dir}/install.sh"
+}
+
+ocr_screen_running() {
+  screen -list 2>/dev/null | grep -q "\.${OCR_SCREEN_NAME}[[:space:]]"
+}
+
+start_ocr_screen() {
+  local worker_dir
+  worker_dir="$(ocr_worker_dir)"
+  if [[ ! -x "${worker_dir}/.venv/bin/uvicorn" ]]; then
+    log_warn "OCR Worker 未安装，跳过 screen 启动"
+    return 1
+  fi
+  if ! command -v screen >/dev/null; then
+    log_error "未安装 screen，请 apt install screen"
+    return 1
+  fi
+
+  log_info "启动 OCR Worker → screen 会话「${OCR_SCREEN_NAME}」(GPU 常驻, 端口 ${OCR_PORT})"
+  if ocr_screen_running; then
+    screen -S "${OCR_SCREEN_NAME}" -X quit 2>/dev/null || true
+    sleep 1
+  fi
+
+  screen -dmS "${OCR_SCREEN_NAME}" bash -lc "
+    cd '${worker_dir}' &&
+    export OCR_USE_GPU=true OCR_PORT='${OCR_PORT}' OCR_HOST=0.0.0.0 &&
+    exec bash run.sh
+  "
+  sleep 1
+}
+
+stop_ocr_screen() {
+  if ocr_screen_running; then
+    log_info "停止 OCR screen 会话…"
+    screen -S "${OCR_SCREEN_NAME}" -X quit 2>/dev/null || true
+  fi
+}
+
+wait_ocr_healthy() {
+  local i
+  for i in $(seq 1 90); do
+    if curl -sf "http://127.0.0.1:${OCR_PORT}/health" >/dev/null 2>&1; then
+      log_info "OCR 健康检查通过 — http://127.0.0.1:${OCR_PORT}/health"
+      return 0
+    fi
+    sleep 2
+  done
+  log_warn "OCR 尚未就绪（模型加载可能需 1–3 分钟）"
+  log_warn "查看: bash ${INSTALL_DIR}/deploy/ocr-screen.sh status"
+  return 1
+}
+
+show_ocr_status() {
+  echo ""
+  echo "--- OCR Worker (screen: ${OCR_SCREEN_NAME}) ---"
+  if ocr_screen_running; then
+    echo "screen: 运行中"
+    screen -list 2>/dev/null | grep "${OCR_SCREEN_NAME}" || true
+  else
+    echo "screen: 未运行"
+  fi
+  if curl -sf "http://127.0.0.1:${OCR_PORT}/health" 2>/dev/null; then
+    echo ""
+  else
+    echo "health: 无响应 (http://127.0.0.1:${OCR_PORT}/health)"
+  fi
+  if command -v nvidia-smi >/dev/null; then
+    nvidia-smi --query-gpu=name,memory.used,memory.total,utilization.gpu --format=csv,noheader 2>/dev/null || true
+  fi
+}

deploy/ocr-screen.sh

@@ -0,0 +1,56 @@
+#!/usr/bin/env bash
+# OCR Worker screen 管理（主程序同机部署时使用）
+set -euo pipefail
+
+INSTALL_DIR="${INSTALL_DIR:-/opt/secondary-school-grade-archive}"
+
+# shellcheck source=common.sh
+source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/common.sh"
+# shellcheck source=ocr-common.sh
+source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/ocr-common.sh"
+
+usage() {
+  cat <<EOF
+用法: bash deploy/ocr-screen.sh <命令>
+
+  start    启动 OCR Worker（screen 后台，GPU 常驻）
+  stop     停止 screen 会话
+  restart  重启
+  status   查看 screen / health / GPU
+  attach   进入 screen 终端（Ctrl+A D 退出）
+
+EOF
+}
+
+cmd="${1:-status}"
+
+case "${cmd}" in
+  start)
+    start_ocr_screen
+    wait_ocr_healthy || true
+    ;;
+  stop)
+    stop_ocr_screen
+    ;;
+  restart)
+    stop_ocr_screen
+    sleep 1
+    start_ocr_screen
+    wait_ocr_healthy || true
+    ;;
+  status)
+    show_ocr_status
+    ;;
+  attach)
+    if ocr_screen_running; then
+      screen -r "${OCR_SCREEN_NAME}"
+    else
+      log_error "screen 未运行，请先: bash deploy/ocr-screen.sh start"
+      exit 1
+    fi
+    ;;
+  *)
+    usage
+    exit 1
+    ;;
+esac

deploy/ocr-worker/install.sh

@@ -1,10 +1,11 @@
 #!/usr/bin/env bash
-# 在带 NVIDIA 显卡的 Linux 机器上安装 OCR Worker
+# 在带 NVIDIA 显卡的 Linux 机器上安装 OCR Worker（由 deploy/install.sh 自动调用）
 set -euo pipefail
 
 ROOT="$(cd "$(dirname "$0")" && pwd)"
 VENV="${ROOT}/.venv"
 PORT="${OCR_PORT:-23567}"
+PIP_MIRROR="${PIP_MIRROR:-https://pypi.tuna.tsinghua.edu.cn/simple}"
 
 echo "==> OCR Worker 安装目录: ${ROOT}"
 
@@ -21,7 +22,7 @@ fi
 
 # shellcheck disable=SC1091
 source "${VENV}/bin/activate"
-pip install -U pip wheel
+pip install -U pip wheel -i "${PIP_MIRROR}"
 
 install_paddle() {
   if command -v nvidia-smi >/dev/null 2>&1; then
@@ -39,35 +40,16 @@ install_paddle() {
     fi
   else
     echo "==> 未检测到 GPU，安装 CPU 版 paddlepaddle…"
-    pip install paddlepaddle==2.6.2
+    pip install paddlepaddle==2.6.2 -i "${PIP_MIRROR}"
   fi
 }
 
 install_paddle
-pip install -r "${ROOT}/requirements.txt"
+pip install -r "${ROOT}/requirements.txt" -i "${PIP_MIRROR}"
+chmod +x "${ROOT}/run.sh" "${ROOT}/start.sh" 2>/dev/null || true
 
 echo ""
-echo "==> 验证依赖…"
 python3 -c "import fastapi, uvicorn, paddle; print('paddle', paddle.__version__, 'OK')"
-
+echo ""
-cat <<EOF
+echo "==> OCR Worker 安装完成。由 deploy/install.sh 通过 screen 自动启动。"
-
+echo "    手动管理: bash $(dirname "$ROOT")/ocr-screen.sh status"
-安装完成。
-
-【重要】你已经在目录 ${ROOT} 时，不要再 cd deploy/ocr-worker，直接：
-
-  cd ${ROOT}
-  OCR_USE_GPU=true bash start.sh
-
-另开终端测试（服务启动后）:
-  curl -s http://127.0.0.1:${PORT}/health
-
-应返回: {"status":"ok","gpu":true}
-
-注册为 systemd 服务（推荐，后台常驻）:
-  sudo bash ${ROOT}/install-service.sh
-
-诊断:
-  bash ${ROOT}/check.sh
-
-EOF

deploy/ocr-worker/run.sh

@@ -0,0 +1,32 @@
+#!/usr/bin/env bash
+# 供 screen 会话调用：OCR 模型常驻 GPU，异常退出自动重启
+set -uo pipefail
+
+ROOT="$(cd "$(dirname "$0")" && pwd)"
+VENV="${ROOT}/.venv"
+PORT="${OCR_PORT:-23567}"
+
+export OCR_USE_GPU="${OCR_USE_GPU:-true}"
+export OCR_HOST="${OCR_HOST:-0.0.0.0}"
+
+if [[ ! -d "${VENV}" ]]; then
+  echo "错误: 请先运行 bash install.sh"
+  exit 1
+fi
+
+# shellcheck disable=SC1091
+source "${VENV}/bin/activate"
+cd "${ROOT}"
+
+echo "=========================================="
+echo " OCR Worker  |  GPU=${OCR_USE_GPU}  |  :${PORT}"
+echo " $(date -Iseconds)"
+echo " 退出 screen: Ctrl+A 然后 D"
+echo "=========================================="
+
+while true; do
+  uvicorn app:app --host "${OCR_HOST}" --port "${PORT}" --log-level info
+  code=$?
+  echo "[$(date -Iseconds)] uvicorn 退出 code=${code}，5 秒后重启…"
+  sleep 5
+done

deploy/repair.sh

@@ -9,6 +9,8 @@ INSTALL_DIR="${INSTALL_DIR:-/opt/secondary-school-grade-archive}"
 
 # shellcheck source=common.sh
 source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/common.sh"
+# shellcheck source=ocr-common.sh
+source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/ocr-common.sh"
 
 require_root "deploy/repair.sh"
 
@@ -19,6 +21,10 @@ log_info "开始修复 grade-archive 服务…"
 
 stop_legacy_pm2
 install_ocr_deps_safe
+if [[ -x "${INSTALL_DIR}/deploy/ocr-worker/.venv/bin/uvicorn" ]]; then
+  start_ocr_screen || log_warn "OCR screen 启动失败"
+  wait_ocr_healthy || log_warn "OCR 未就绪"
+fi
 setup_systemd_service
 restart_grade_service
 

deploy/update.sh

@@ -9,12 +9,15 @@ PIP_MIRROR="${PIP_MIRROR:-https://pypi.tuna.tsinghua.edu.cn/simple}"
 source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/common.sh"
 # shellcheck source=proxy.sh
 source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/proxy.sh"
+# shellcheck source=ocr-common.sh
+source "$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/ocr-common.sh"
 
 require_root "deploy/update.sh"
 
 cd "${INSTALL_DIR}" || exit 1
 find "${INSTALL_DIR}" -name "*.sh" -exec sed -i 's/\r$//' {} +
-chmod +x deploy/start.sh deploy/install-ocr-deps.sh deploy/repair.sh
+chmod +x deploy/start.sh deploy/ocr-screen.sh deploy/install-ocr-deps.sh deploy/repair.sh
+chmod +x deploy/ocr-worker/*.sh 2>/dev/null || true
 
 setup_deploy_proxy
 
@@ -28,21 +31,28 @@ if [[ ! -f "${INSTALL_DIR}/frontend/dist/index.html" ]]; then
   exit 1
 fi
 
-log_info "更新后端依赖…"
+log_info "更新主程序依赖…"
 cd backend
 source venv/bin/activate
 pip install -r requirements.txt --progress-bar on -i "${PIP_MIRROR}"
 deactivate
 cd "${INSTALL_DIR}"
 
+log_info "更新 OCR Worker 并重启 screen…"
+install_ocr_worker
+stop_ocr_screen
+start_ocr_screen
+wait_ocr_healthy || log_warn "OCR 加载中，稍后: bash deploy/ocr-screen.sh status"
+
 stop_legacy_pm2
 install_ocr_deps_safe
 setup_systemd_service
 restart_grade_service
 
 if ! wait_healthy; then
-  log_error "更新后服务异常，可尝试: sudo bash ${INSTALL_DIR}/deploy/repair.sh"
+  log_error "更新后主程序异常，可尝试: sudo bash ${INSTALL_DIR}/deploy/repair.sh"
   exit 1
 fi
 
 log_info "更新完成"
+show_ocr_status

frontend/dist/index.html

@@ -9,7 +9,7 @@
     <meta name="author" content="马建军" />
     <meta name="copyright" content="Copyright (c) 马建军. All rights reserved." />
     <title>中学成绩档案</title>
-    <script type="module" crossorigin src="/assets/index-19dlnnB9.js"></script>
+    <script type="module" crossorigin src="/assets/index-DmCjZu_W.js"></script>
     <link rel="stylesheet" crossorigin href="/assets/index-GY2etMYN.css">
   </head>
   <body>

frontend/src/pages/SettingsPage.tsx

@@ -240,7 +240,7 @@ export default function SettingsPage() {
                     <Form.Item
                       name="ocr_service_url"
                       label="OCR 服务地址（局域网 GPU 机器）"
-                      extra="留空则在应用服务器本机 CPU 识别。填写后类似 Ollama，例如 http://192.168.8.100:23567"
+                      extra="留空则在应用服务器本机 CPU 识别。同机部署时填 http://127.0.0.1:23567（install.sh 已自动配置）"
                     >
                       <Input placeholder="http://192.168.8.100:23567" />
                     </Form.Item>