镜像构建历史
# 2025-06-05 13:50:21 44.04KB 执行命令并创建新的镜像层
RUN /bin/sh -c grep -r "psycopg2.pool.SimpleConnectionPool(" /app/api/* | awk -F":" '{print $1}' | sort | uniq | while read line; do echo "Found usage in file: $line"; sed -i 's/psycopg2.pool.SimpleConnectionPool(/psycopg2.pool.SimpleConnectionPool(keepalives=1, keepalives_idle=30, keepalives_interval=10, keepalives_count=3,/g' "$line"; done # buildkit
# 2025-06-05 13:48:43 0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c echo "Installing psycopg2-binary..." # buildkit
# 2025-05-15 16:05:14 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/bin/bash" "/entrypoint.sh"]
# 2025-05-15 16:05:14 0.00B 设置环境变量 COMMIT_SHA
ENV COMMIT_SHA=4dc06ee43fa2851ceeed5460463d8041f1bdc405
# 2025-05-15 16:05:14 0.00B 定义构建参数
ARG COMMIT_SHA=4dc06ee43fa2851ceeed5460463d8041f1bdc405
# 2025-05-15 16:05:14 0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /entrypoint.sh # buildkit
# 2025-05-15 16:05:14 1.37KB 复制新文件或目录到容器中
COPY docker/entrypoint.sh /entrypoint.sh # buildkit
# 2025-05-15 16:05:14 11.10MB 复制新文件或目录到容器中
COPY . /app/api/ # buildkit
# 2025-05-15 14:01:02 3.27MB 执行命令并创建新的镜像层
RUN /bin/sh -c python -c "import tiktoken; tiktoken.encoding_for_model('gpt2')" # buildkit
# 2025-05-15 14:01:01 0.00B 设置环境变量 TIKTOKEN_CACHE_DIR
ENV TIKTOKEN_CACHE_DIR=/app/api/.tiktoken_cache
# 2025-05-15 14:01:01 67.89MB 执行命令并创建新的镜像层
RUN /bin/sh -c python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger')" # buildkit
# 2025-05-15 14:00:59 0.00B 设置环境变量 PATH
ENV PATH=/app/api/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2025-05-15 14:00:59 1.82GB 复制新文件或目录到容器中
COPY /app/api/.venv /app/api/.venv # buildkit
# 2025-05-15 14:00:49 0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/app/api/.venv
# 2025-05-15 14:00:49 154.94MB 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 nodejs libgmp-dev libmpfr-dev libmpc-dev expat libldap-2.5-0 perl libsqlite3-0 zlib1g media-types libmagic1 && apt-get autoremove -y && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-05-15 16:05:14 0.00B 设置工作目录为/app/api
WORKDIR /app/api
# 2025-05-15 14:00:13 0.00B 设置环境变量 TZ
ENV TZ=UTC
# 2025-05-15 14:00:13 0.00B 声明容器运行时监听的端口
EXPOSE map[5001/tcp:{}]
# 2025-05-15 14:00:13 0.00B 设置环境变量 APP_WEB_URL
ENV APP_WEB_URL=http://127.0.0.1:3000
# 2025-05-15 14:00:13 0.00B 设置环境变量 SERVICE_API_URL
ENV SERVICE_API_URL=http://127.0.0.1:5001
# 2025-05-15 14:00:13 0.00B 设置环境变量 CONSOLE_WEB_URL
ENV CONSOLE_WEB_URL=http://127.0.0.1:3000
# 2025-05-15 14:00:13 0.00B 设置环境变量 CONSOLE_API_URL
ENV CONSOLE_API_URL=http://127.0.0.1:5001
# 2025-05-15 14:00:13 0.00B 设置环境变量 DEPLOY_ENV
ENV DEPLOY_ENV=PRODUCTION
# 2025-05-15 14:00:13 0.00B 设置环境变量 EDITION
ENV EDITION=SELF_HOSTED
# 2025-05-15 14:00:13 0.00B 设置环境变量 FLASK_APP
ENV FLASK_APP=app.py
# 2025-05-15 14:00:13 49.51MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir uv==${UV_VERSION} # buildkit
# 2025-05-15 14:00:13 0.00B 设置环境变量 UV_VERSION
ENV UV_VERSION=0.6.14
# 2025-05-15 14:00:11 0.00B 设置工作目录为/app/api
WORKDIR /app/api
# 2025-05-09 06:27:23 0.00B 设置默认要执行的命令
CMD ["python3"]
# 2025-05-09 06:27:23 36.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; for src in idle3 pip3 pydoc3 python3 python3-config; do dst="$(echo "$src" | tr -d 3)"; [ -s "/usr/local/bin/$src" ]; [ ! -e "/usr/local/bin/$dst" ]; ln -svT "$src" "/usr/local/bin/$dst"; done # buildkit
# 2025-05-09 06:27:23 40.19MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; savedAptMark="$(apt-mark showmanual)"; apt-get update; apt-get install -y --no-install-recommends dpkg-dev 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-linux-musl' && echo '--with-lto') --with-ensurepip ; nproc="$(nproc)"; EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; LDFLAGS="${LDFLAGS:--Wl},--strip-all"; arch="$(dpkg --print-architecture)"; arch="${arch##*-}"; case "$arch" in amd64|arm64) EXTRA_CFLAGS="${EXTRA_CFLAGS:-} -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer"; ;; i386) ;; *) EXTRA_CFLAGS="${EXTRA_CFLAGS:-} -fno-omit-frame-pointer"; ;; esac; make -j "$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 -r dpkg-query --search | cut -d: -f1 | sort -u | xargs -r apt-mark manual ; apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; rm -rf /var/lib/apt/lists/*; export PYTHONDONTWRITEBYTECODE=1; python3 --version; pip3 --version # buildkit
# 2025-05-09 06:27:23 0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=07ab697474595e06f06647417d3c7fa97ded07afc1a7e4454c5639919b46eaea
# 2025-05-09 06:27:23 0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.12.10
# 2025-05-09 06:27:23 0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305
# 2025-05-09 06:27:23 9.23MB 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 ; rm -rf /var/lib/apt/lists/* # buildkit
# 2025-05-09 06:27:23 0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
# 2025-05-09 06:27:23 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
# 2025-04-28 08:00:00 74.83MB
# debian.sh --arch 'amd64' out/ 'bookworm' '@1745798400'
镜像信息
{
"Id": "sha256:ec910486ea5669ac169f37a9b9d86de9ab530bdbea822d2877a3e90e9e966385",
"RepoTags": [
"eball/dify:test3",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/eball/dify:test3"
],
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],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-06-05T13:50:21.309106655+08:00",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"ExposedPorts": {
"5001/tcp": {}
},
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/app/api/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
"LANG=C.UTF-8",
"GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305",
"PYTHON_VERSION=3.12.10",
"PYTHON_SHA256=07ab697474595e06f06647417d3c7fa97ded07afc1a7e4454c5639919b46eaea",
"UV_VERSION=0.6.14",
"FLASK_APP=app.py",
"EDITION=SELF_HOSTED",
"DEPLOY_ENV=PRODUCTION",
"CONSOLE_API_URL=http://127.0.0.1:5001",
"CONSOLE_WEB_URL=http://127.0.0.1:3000",
"SERVICE_API_URL=http://127.0.0.1:5001",
"APP_WEB_URL=http://127.0.0.1:3000",
"TZ=UTC",
"VIRTUAL_ENV=/app/api/.venv",
"TIKTOKEN_CACHE_DIR=/app/api/.tiktoken_cache",
"COMMIT_SHA=4dc06ee43fa2851ceeed5460463d8041f1bdc405"
],
"Cmd": null,
"Image": "",
"Volumes": null,
"WorkingDir": "/app/api",
"Entrypoint": [
"/bin/bash",
"/entrypoint.sh"
],
"OnBuild": null,
"Labels": {
"org.opencontainers.image.created": "2025-05-15T15:05:41.786Z",
"org.opencontainers.image.description": "Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.",
"org.opencontainers.image.licenses": "NOASSERTION",
"org.opencontainers.image.revision": "4dc06ee43fa2851ceeed5460463d8041f1bdc405",
"org.opencontainers.image.source": "https://github.com/langgenius/dify",
"org.opencontainers.image.title": "dify",
"org.opencontainers.image.url": "https://github.com/langgenius/dify",
"org.opencontainers.image.version": "1.4.0"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 2227218990,
"GraphDriver": {
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"LastTagTime": "2025-07-02T16:34:44.127002673+08:00"
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