Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/deeptutor:1.6.8
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/deeptutor:1.6.8  ghcr.io/hkuds/deeptutor:1.6.8

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/deeptutor:1.6.8
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/deeptutor:1.6.8  ghcr.io/hkuds/deeptutor:1.6.8

Shell快速替换命令

sed -i 's#ghcr.io/hkuds/deeptutor:1.6.8#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/deeptutor:1.6.8#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/deeptutor:1.6.8 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/deeptutor:1.6.8  ghcr.io/hkuds/deeptutor:1.6.8'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/deeptutor:1.6.8 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/deeptutor:1.6.8  ghcr.io/hkuds/deeptutor:1.6.8'

镜像构建历史

# 2026-09-14 14:59:52  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/app/entrypoint.sh"]
                        
# 2026-09-14 14:59:52  0.00B 指定检查容器健康状态的命令
HEALTHCHECK {Test:[CMD-SHELL python /app/healthcheck.py] Interval:30s Timeout:10s StartPeriod:1m0s StartInterval:0s Retries:3}
                        
# 2026-09-14 14:59:52  0.00B 声明容器运行时监听的端口
EXPOSE [3782/tcp 8001/tcp]
                        
# 2026-09-14 14:59:52  370.00B 执行命令并创建新的镜像层
RUN /bin/sh -c cat > /app/healthcheck.py <<'EOF'
from pathlib import Path
import json
import urllib.request

port = 8001
settings_path = Path("/app/data/user/settings/system.json")
try:
    settings = json.loads(settings_path.read_text(encoding="utf-8"))
    port = int(settings.get("backend_port") or port)
except Exception:
    pass

urllib.request.urlopen(f"http://localhost:{port}/health/ready", timeout=5).close()
EOF # buildkit
                        
# 2026-09-14 14:59:51  5.14KB 执行命令并创建新的镜像层
RUN /bin/sh -c sed -i 's/\r$//' /app/entrypoint.sh && chmod +x /app/entrypoint.sh # buildkit
                        
# 2026-09-14 14:59:51  5.14KB 执行命令并创建新的镜像层
RUN /bin/sh -c cat > /app/entrypoint.sh <<'EOF'
#!/bin/bash
set -e

echo "============================================"
echo "🚀 Starting DeepTutor"
echo "============================================"

export DEEPTUTOR_IGNORE_PROCESS_ENV_OVERRIDES=1

# Docker is JSON-driven. Ignore runtime env names even if the host or a stale
# Compose environment provides them; the entrypoint re-exports values from
# data/user/settings/*.json below.
for key in \
    BACKEND_PORT \
    BACKEND_WORKERS \
    DEEPTUTOR_BACKEND_WORKERS \
    FRONTEND_PORT \
    NEXT_PUBLIC_API_BASE_EXTERNAL \
    NEXT_PUBLIC_API_BASE \
    CORS_ORIGIN \
    CORS_ORIGINS \
    DISABLE_SSL_VERIFY \
    CHAT_ATTACHMENT_DIR \
    AUTH_ENABLED \
    NEXT_PUBLIC_AUTH_ENABLED \
    AUTH_USERNAME \
    AUTH_PASSWORD_HASH \
    AUTH_TOKEN_EXPIRE_HOURS \
    AUTH_COOKIE_SECURE \
    POCKETBASE_URL \
    POCKETBASE_PORT \
    POCKETBASE_EXTERNAL_URL \
    POCKETBASE_ADMIN_EMAIL \
    POCKETBASE_ADMIN_PASSWORD \
    DEEPTUTOR_API_BASE_URL \
    DEEPTUTOR_AUTH_ENABLED; do
    unset "$key"
done

# Initialize user data directories if empty
echo "📁 Checking data directories..."
echo "   Ensuring runtime settings and workspace layout..."
python -c "
from pathlib import Path
from deeptutor.services.setup import init_user_directories
init_user_directories(Path('/app'))
" 2>/dev/null || echo "   ⚠️ Directory initialization skipped (will be created on first use)"

# Idempotent: re-chown /app/data so the unprivileged `deeptutor` user (UID 1000)
# owns it. Cheap on no-op; the only first-start cost is one stat per file.
chown -R deeptutor:deeptutor /app/data 2>/dev/null || true

# Optional dependencies (#762). A container is disposable, so anything
# `docker exec … pip install`ed into a running one is gone at the next
# `compose down`. Declare them on the deployment instead and every container
# started from it has them:
#
#   environment:
#     DEEPTUTOR_EXTRAS: "math-animator,partners"
#     DEEPTUTOR_APT_PACKAGES: "ffmpeg"
#
# Both steps are idempotent — a warm container only pays a check — and neither
# is allowed to be fatal: a missing wheel leaves that one feature unavailable,
# exactly as it was before, rather than taking the whole deployment down.
# The pip cache lives on the data volume so a rebuild reuses the downloads it
# already paid for instead of fetching them again.
export PIP_CACHE_DIR="${PIP_CACHE_DIR:-/app/data/.cache/pip}"
mkdir -p "$PIP_CACHE_DIR" 2>/dev/null || true

if [ -n "${DEEPTUTOR_APT_PACKAGES:-}" ]; then
    echo "🔧 Ensuring system packages: ${DEEPTUTOR_APT_PACKAGES}"
    apt_missing=""
    for pkg in $(echo "${DEEPTUTOR_APT_PACKAGES}" | tr ',' ' '); do
        dpkg -s "$pkg" >/dev/null 2>&1 || apt_missing="$apt_missing $pkg"
    done
    if [ -z "$apt_missing" ]; then
        echo "   ✅ System packages already present"
    elif ! (apt-get update -qq && apt-get install -y --no-install-recommends $apt_missing); then
        echo "   ⚠️ apt-get failed; these packages stay unavailable:$apt_missing"
    fi
fi

if [ -n "${DEEPTUTOR_EXTRAS:-}" ]; then
    echo "🔧 Ensuring Python extras: ${DEEPTUTOR_EXTRAS}"
    python /app/scripts/install_extras.py "${DEEPTUTOR_EXTRAS}" || true
    chown -R deeptutor:deeptutor "$PIP_CACHE_DIR" 2>/dev/null || true
fi

echo "⚙️  Loading runtime JSON settings..."
eval "$(python - <<'PY'
import shlex
from deeptutor.services.config import export_runtime_settings_to_env

for key, value in export_runtime_settings_to_env(overwrite=True).items():
    print(f"export {key}={shlex.quote(str(value))}")
PY
)"

export BACKEND_PORT=${BACKEND_PORT:-8001}
export FRONTEND_PORT=${FRONTEND_PORT:-3782}

# DEEPTUTOR_API_BASE_URL and DEEPTUTOR_AUTH_ENABLED are exported by the
# export_runtime_settings_to_env eval above (see render_environment in
# deeptutor/services/config/runtime_settings.py). web/proxy.ts reads them at
# request time to rewrite /api/* and /ws/* to the backend and to gate the login
# redirect. Keeping them in the single JSON-backed exporter means the Docker and
# `deeptutor start` paths stay in sync.
echo "📌 API Base URL (proxy): ${DEEPTUTOR_API_BASE_URL:-http://localhost:${BACKEND_PORT}}"
echo "📌 Auth enabled: ${DEEPTUTOR_AUTH_ENABLED:-false}"

echo "📌 Backend Port: ${BACKEND_PORT}"
echo "📌 Frontend Port: ${FRONTEND_PORT}"

echo "============================================"
echo "📦 Configuration loaded from:"
echo "   - data/user/settings/system.json"
echo "   - data/user/settings/auth.json"
echo "   - data/user/settings/integrations.json"
echo "   - data/user/settings/model_catalog.json"
echo "   - data/user/settings/main.yaml"
echo "   - data/user/settings/agents.yaml"
echo "============================================"

# Hand off to supervisord as PID 1. The daemon-level config deliberately omits
# `user=` so supervisord inherits PID 1's UID and stays portable across rootful
# and rootless-keep-id runtimes; children drop to the deeptutor user via
# per-program `user=`. Full rationale lives next to the [supervisord] section
# in the build step that writes /etc/supervisor/supervisord.conf.
exec /usr/bin/supervisord -c /etc/supervisor/supervisord.conf
EOF # buildkit
                        
# 2026-09-14 14:59:51  278.00B 执行命令并创建新的镜像层
RUN /bin/sh -c sed -i 's/\r$//' /app/start-frontend.sh && chmod +x /app/start-frontend.sh # buildkit
                        
# 2026-09-14 14:59:51  278.00B 执行命令并创建新的镜像层
RUN /bin/sh -c cat > /app/start-frontend.sh <<'EOF'
#!/bin/bash
set -e

FRONTEND_PORT=${FRONTEND_PORT:-3782}
FRONTEND_HOST=${FRONTEND_HOST:-0.0.0.0}
echo "[Frontend] 🚀 Starting Next.js frontend on ${FRONTEND_HOST}:${FRONTEND_PORT}..."

export PORT=${FRONTEND_PORT}
export HOSTNAME=${FRONTEND_HOST}
exec node /app/web/server.js
EOF # buildkit
                        
# 2026-09-14 14:59:51  1.69KB 执行命令并创建新的镜像层
RUN /bin/sh -c sed -i 's/\r$//' /app/start-backend.sh && chmod +x /app/start-backend.sh # buildkit
                        
# 2026-09-14 14:59:51  1.69KB 执行命令并创建新的镜像层
RUN /bin/sh -c cat > /app/start-backend.sh <<'EOF'
#!/bin/bash
set -e

BACKEND_PORT=${BACKEND_PORT:-8001}
BACKEND_HOST=${BACKEND_HOST:-0.0.0.0}
BACKEND_WORKERS=${BACKEND_WORKERS:-1}

echo "[Backend]  🚀 Starting FastAPI backend on ${BACKEND_HOST}:${BACKEND_PORT}..."

# Run uvicorn directly - the application's logging system already handles:
# 1. Console output (visible in docker logs)
# 2. File logging to data/user/logs/ai_tutor_*.log
#
# BACKEND_HOST defaults to 0.0.0.0 (LAN-reachable, matches bridge-mode
# port publishing). Set BACKEND_HOST=127.0.0.1 when running with
# network_mode: host to keep the backend on loopback only.
#
# --ws-max-size: chat attachments travel base64 inside one WS message; derive
# the frame cap from the configured attachment policy (system.json) so uploads
# the policy allows are not severed by uvicorn's 16MB default.
#
# --timeout-keep-alive: the frontend proxy (web/proxy.ts) forwards over Node's
# http.globalAgent, which reaps idle sockets on a 5s timer — identical to
# uvicorn's default, so both ends raced to close the same socket and the loser's
# request died with ECONNRESET (a 500 in the UI). Stay well above the proxy's
# reaper so the client is the only side retiring idle connections.
WS_MAX_SIZE=$(python -c "from deeptutor.services.config import get_ws_max_size; print(get_ws_max_size())" 2>/dev/null || echo 16777216)
KEEP_ALIVE=$(python -c "from deeptutor.services.config import HTTP_KEEP_ALIVE_TIMEOUT; print(HTTP_KEEP_ALIVE_TIMEOUT)" 2>/dev/null || echo 300)
exec python -m uvicorn deeptutor.api.main:app --host ${BACKEND_HOST} --port ${BACKEND_PORT} --workers ${BACKEND_WORKERS} --no-access-log --no-proxy-headers --ws-max-size ${WS_MAX_SIZE} --timeout-keep-alive ${KEEP_ALIVE}
EOF # buildkit
                        
# 2026-09-14 14:59:51  548.00B 执行命令并创建新的镜像层
RUN /bin/sh -c sed -i 's/\r$//' /etc/supervisor/conf.d/programs.conf # buildkit
                        
# 2026-09-14 14:59:51  548.00B 执行命令并创建新的镜像层
RUN /bin/sh -c cat > /etc/supervisor/conf.d/programs.conf <<'EOF'
[program:backend]
command=/bin/bash /app/start-backend.sh
directory=/app
user=deeptutor
autostart=true
autorestart=true
stdout_logfile=/dev/fd/1
stdout_logfile_maxbytes=0
stderr_logfile=/dev/fd/2
stderr_logfile_maxbytes=0
environment=PYTHONPATH="/app",PYTHONUNBUFFERED="1"

[program:frontend]
command=/bin/bash /app/start-frontend.sh
directory=/app/web
user=deeptutor
autostart=true
autorestart=true
startsecs=5
stdout_logfile=/dev/fd/1
stdout_logfile_maxbytes=0
stderr_logfile=/dev/fd/2
stderr_logfile_maxbytes=0
environment=NODE_ENV="production"
EOF # buildkit
                        
# 2026-09-14 14:59:51  150.00B 执行命令并创建新的镜像层
RUN /bin/sh -c sed -i 's/\r$//' /etc/supervisor/supervisord.conf # buildkit
                        
# 2026-09-14 14:59:51  150.00B 执行命令并创建新的镜像层
RUN /bin/sh -c cat > /etc/supervisor/supervisord.conf <<'EOF'
[supervisord]
nodaemon=true
logfile=/dev/null
logfile_maxbytes=0
pidfile=/tmp/supervisord.pid

[include]
files = /etc/supervisor/conf.d/programs.conf
EOF # buildkit
                        
# 2026-09-14 14:59:51  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /etc/supervisor/conf.d # buildkit
                        
# 2026-09-14 14:59:51  30.79MB 执行命令并创建新的镜像层
RUN /bin/sh -c groupadd --system --gid 1000 deeptutor     && useradd --system --uid 1000 --gid 1000 --no-create-home --shell /usr/sbin/nologin deeptutor     && chown -R deeptutor:deeptutor /app/data /app/web/.next # buildkit
                        
# 2026-09-14 14:59:49  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p     data/user/settings     data/memory     data/user/workspace/memory     data/user/workspace/notebook     data/user/workspace/co-writer/audio     data/user/workspace/co-writer/tool_calls     data/user/workspace/chat/chat     data/user/workspace/chat/deep_solve     data/user/workspace/chat/deep_question     data/user/workspace/chat/deep_research/reports     data/user/workspace/chat/math_animator     data/user/workspace/chat/_detached_exec     data/user/logs     data/knowledge_bases # buildkit
                        
# 2026-09-14 14:59:49  1.02KB 复制新文件或目录到容器中
COPY requirements.txt ./ # buildkit
                        
# 2026-09-14 14:59:49  8.05KB 复制新文件或目录到容器中
COPY requirements/ ./requirements/ # buildkit
                        
# 2026-09-14 14:59:49  19.23KB 复制新文件或目录到容器中
COPY pyproject.toml ./ # buildkit
                        
# 2026-09-14 14:59:49  78.12KB 复制新文件或目录到容器中
COPY scripts/ ./scripts/ # buildkit
                        
# 2026-09-14 14:59:49  216.75KB 复制新文件或目录到容器中
COPY deeptutor_cli/ ./deeptutor_cli/ # buildkit
                        
# 2026-09-14 14:59:49  9.84MB 复制新文件或目录到容器中
COPY deeptutor/ ./deeptutor/ # buildkit
                        
# 2026-09-14 14:59:47  2.44MB 复制新文件或目录到容器中
COPY /app/web/public/ ./web/public/ # buildkit
                        
# 2026-09-14 14:59:47  14.11MB 复制新文件或目录到容器中
COPY /app/web/.next/static/ ./web/.next/static/ # buildkit
                        
# 2026-09-14 14:59:47  77.34MB 复制新文件或目录到容器中
COPY /app/web/.next/standalone/ ./web/ # buildkit
                        
# 2026-09-14 14:59:10  79.88KB 复制新文件或目录到容器中
COPY /usr/local/bin /usr/local/bin # buildkit
                        
# 2026-09-14 14:59:09  824.16MB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages # buildkit
                        
# 2026-09-14 14:56:49  236.95KB 执行命令并创建新的镜像层
RUN /bin/sh -c ln -sf /usr/local/lib/node_modules/npm/bin/npm-cli.js /usr/local/bin/npm     && ln -sf /usr/local/lib/node_modules/npm/bin/npx-cli.js /usr/local/bin/npx     && node --version && npm --version # buildkit
                        
# 2026-09-14 14:56:48  11.94MB 复制新文件或目录到容器中
COPY /usr/local/lib/node_modules /usr/local/lib/node_modules # buildkit
                        
# 2026-09-14 14:56:47  124.84MB 复制新文件或目录到容器中
COPY /usr/local/bin/node /usr/local/bin/node # buildkit
                        
# 2026-09-14 14:56:46  361.90MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     curl     ca-certificates     bash     git     supervisor     libgl1     libglib2.0-0     libsm6     libxext6     libxrender1     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2026-09-14 14:55:55  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2026-09-14 14:55:55  0.00B 设置环境变量 PYTHONDONTWRITEBYTECODE PYTHONUNBUFFERED PYTHONIOENCODING MALLOC_ARENA_MAX MALLOC_TRIM_THRESHOLD_ NODE_ENV DEEPTUTOR_IGNORE_PROCESS_ENV_OVERRIDES
ENV PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1 PYTHONIOENCODING=utf-8 MALLOC_ARENA_MAX=2 MALLOC_TRIM_THRESHOLD_=131072 NODE_ENV=production DEEPTUTOR_IGNORE_PROCESS_ENV_OVERRIDES=1
                        
# 2026-09-14 14:55:55  0.00B 添加元数据标签
LABEL maintainer=DeepTutor Team description=DeepTutor: AI-Powered Personalized Learning Assistant
                        
# 2026-09-01 08:14:30  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2026-09-01 08:14:30  36.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	for src in idle3 pip3 pydoc3 python3 python3-config; do 		dst="$(echo "$src" | tr -d 3)"; 		[ -s "/usr/local/bin/$src" ]; 		[ ! -e "/usr/local/bin/$dst" ]; 		ln -svT "$src" "/usr/local/bin/$dst"; 	done # buildkit
                        
# 2026-09-01 08:14:30  42.43MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		savedAptMark="$(apt-mark showmanual)"; 	apt-get update; 	apt-get install -y --no-install-recommends 		dpkg-dev 		g++ 		gcc 		gnupg 		libbluetooth-dev 		libbz2-dev 		libc6-dev 		libdb-dev 		libffi-dev 		libgdbm-dev 		liblzma-dev 		libncursesw5-dev 		libreadline-dev 		libsqlite3-dev 		libssl-dev 		make 		tk-dev 		uuid-dev 		wget 		xz-utils 		zlib1g-dev 	; 		wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; 	echo "$PYTHON_SHA256 *python.tar.xz" | sha256sum -c -; 	wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; 	GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; 	gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; 	gpg --batch --verify python.tar.xz.asc python.tar.xz; 	gpgconf --kill all; 	rm -rf "$GNUPGHOME" python.tar.xz.asc; 	mkdir -p /usr/src/python; 	tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; 	rm python.tar.xz; 		cd /usr/src/python; 	gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; 	./configure 		--build="$gnuArch" 		--enable-loadable-sqlite-extensions 		--enable-optimizations 		--enable-option-checking=fatal 		--enable-shared 		$(test "${gnuArch%%-*}" != 'riscv64' && echo '--with-lto') 		--with-ensurepip 	; 	nproc="$(nproc)"; 	EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; 	LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; 	LDFLAGS="${LDFLAGS:-} -Wl,--strip-all"; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-}" 	; 	rm python; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-} -Wl,-rpath='\$\$ORIGIN/../lib'" 		python 	; 	make install; 		cd /; 	rm -rf /usr/src/python; 		find /usr/local -depth 		\( 			\( -type d -a \( -name test -o -name tests -o -name idle_test \) \) 			-o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \) 		\) -exec rm -rf '{}' + 	; 		ldconfig; 		apt-mark auto '.*' > /dev/null; 	apt-mark manual $savedAptMark; 	find /usr/local -type f -executable -not \( -name '*tkinter*' \) -exec ldd '{}' ';' 		| awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' 		| sort -u 		| xargs -rt dpkg-query --search 		| awk 'sub(":$", "", $1) { print $1 }' 		| sort -u 		| xargs -r apt-mark manual 	; 	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; 	apt-get dist-clean; 		export PYTHONDONTWRITEBYTECODE=1; 	python3 --version; 		pip3 install 		--disable-pip-version-check 		--no-cache-dir 		--no-compile 		'setuptools==79.0.1' 		'wheel==0.46.3' 	; 	pip3 --version # buildkit
                        
# 2026-09-01 08:07:16  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=91bcdebfdde239a003ae93738a7fce0f9230fee5c4bc2b86f6e6e8c6f98aabe8
                        
# 2026-09-01 08:07:16  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.16
                        
# 2026-09-01 08:07:16  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2026-09-01 08:07:16  11.97MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	apt-get update; 	apt-get install -y --no-install-recommends 		ca-certificates 		netbase 		tzdata 	; 	apt-get dist-clean # buildkit
                        
# 2026-09-01 08:07:16  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2026-09-01 08:07:16  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-08-24 08:00:00  78.64MB 
# debian.sh --arch 'amd64' out/ 'trixie' '@1787529600'
                        
                    

镜像信息

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    "RepoTags": [
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        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hkuds/deeptutor:1.6.8"
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