#!/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 "${INSTALL_DIR}/deploy/ocr-worker" } detect_ocr_use_gpu() { if [[ "${OCR_USE_GPU:-auto}" == "false" ]]; then echo "false" return fi if [[ "${OCR_USE_GPU:-auto}" == "true" ]]; then if ldconfig -p 2>/dev/null | grep -q libcudnn; then echo "true" else log_warn "未检测到 cuDNN 库,GPU OCR 不可用,改用 CPU" echo "false" fi return fi # auto if command -v nvidia-smi >/dev/null && ldconfig -p 2>/dev/null | grep -q libcudnn; then echo "true" else echo "false" fi } install_ocr_worker() { local worker_dir worker_dir="$(ocr_worker_dir)" if [[ ! -d "${worker_dir}" ]]; then log_error "未找到 ${worker_dir}" return 1 fi log_info "安装/更新 OCR Worker (RapidOCR/ONNX)…" chmod +x "${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 "\.${OCR_SCREEN_NAME}[[:space:]]" } start_ocr_screen() { local worker_dir log_file worker_dir="$(ocr_worker_dir)" if [[ ! -x "${worker_dir}/.venv/bin/uvicorn" ]]; then log_warn "OCR Worker 未安装,跳过 screen 启动" return 1 fi if ! command -v screen >/dev/null; then log_error "未安装 screen,请 apt install screen" return 1 fi log_info "启动 OCR Worker → screen「${OCR_SCREEN_NAME}」(RapidOCR, 端口 ${OCR_PORT})" if ocr_screen_running; then screen -S "${OCR_SCREEN_NAME}" -X quit 2>/dev/null || true sleep 1 fi mkdir -p "${INSTALL_DIR}/logs" 2>/dev/null || true log_file="${INSTALL_DIR}/logs/ocr-worker.log" screen -dmS "${OCR_SCREEN_NAME}" bash -c " cd '${worker_dir}' && export OCR_PORT='${OCR_PORT}' OCR_HOST=0.0.0.0 && exec bash run.sh >> '${log_file}' 2>&1 " sleep 2 log_info "OCR 日志: ${log_file}" } stop_ocr_screen() { if ocr_screen_running; then log_info "停止 OCR screen 会话…" screen -S "${OCR_SCREEN_NAME}" -X quit 2>/dev/null || true fi } wait_ocr_healthy() { local max="${1:-30}" local i log_info "等待 OCR 就绪(最多 ${max}×2 秒,首次加载模型较慢)…" for i in $(seq 1 "${max}"); 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 if (( i % 5 == 0 )); then echo -ne "\r${YELLOW}[INFO]${NC} 仍在等待 OCR… ${i}/${max}(可另开终端: tail -f ${INSTALL_DIR}/logs/ocr-worker.log)" fi sleep 2 done echo "" log_warn "OCR 尚未响应(可能仍在下载/加载模型,主程序可先继续)" log_warn "稍后执行: 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 }