docker.io/langgenius/dify-api:0.15.5 linux/amd64

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.5
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.5  docker.io/langgenius/dify-api:0.15.5

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.5
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.5  docker.io/langgenius/dify-api:0.15.5

Shell快速替换命令

sed -i 's#langgenius/dify-api:0.15.5#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.5#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.5 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.5  docker.io/langgenius/dify-api:0.15.5'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.5 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.5  docker.io/langgenius/dify-api:0.15.5'

镜像构建历史

# 2025-03-24 16:52:27  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/bin/bash" "/entrypoint.sh"]
                        
# 2025-03-24 16:52:27  0.00B 设置环境变量 COMMIT_SHA
ENV COMMIT_SHA=8e75eb5c631694e409977a0239d57e9bc165f4d7
                        
# 2025-03-24 16:52:27  0.00B 定义构建参数
ARG COMMIT_SHA=8e75eb5c631694e409977a0239d57e9bc165f4d7
                        
# 2025-03-24 16:52:27  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /entrypoint.sh # buildkit
                        
# 2025-03-24 16:52:27  1.32KB 复制新文件或目录到容器中
COPY docker/entrypoint.sh /entrypoint.sh # buildkit
                        
# 2025-03-24 16:52:27  22.14MB 复制新文件或目录到容器中
COPY . /app/api/ # buildkit
                        
# 2025-03-24 16:52:26  90.87MB 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
                        
# 2025-03-24 16:52:21  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
                        
# 2025-03-24 16:52:21  2.42GB 复制新文件或目录到容器中
COPY /app/api/.venv /app/api/.venv # buildkit
                        
# 2025-03-24 16:51:02  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/app/api/.venv
                        
# 2025-03-24 16:51:02  248.01MB 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         fonts-noto-cjk         libmagic1     && apt-get autoremove -y     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-03-24 15:17:36  0.00B 设置工作目录为/app/api
WORKDIR /app/api
                        
# 2025-03-24 09:50:15  0.00B 设置环境变量 TZ
ENV TZ=UTC
                        
# 2025-03-24 09:50:15  0.00B 声明容器运行时监听的端口
EXPOSE map[5001/tcp:{}]
                        
# 2025-03-24 09:50:15  0.00B 设置环境变量 APP_WEB_URL
ENV APP_WEB_URL=http://127.0.0.1:3000
                        
# 2025-03-24 09:50:15  0.00B 设置环境变量 SERVICE_API_URL
ENV SERVICE_API_URL=http://127.0.0.1:5001
                        
# 2025-03-24 09:50:15  0.00B 设置环境变量 CONSOLE_WEB_URL
ENV CONSOLE_WEB_URL=http://127.0.0.1:3000
                        
# 2025-03-24 09:50:15  0.00B 设置环境变量 CONSOLE_API_URL
ENV CONSOLE_API_URL=http://127.0.0.1:5001
                        
# 2025-03-24 09:50:15  0.00B 设置环境变量 DEPLOY_ENV
ENV DEPLOY_ENV=PRODUCTION
                        
# 2025-03-24 09:50:15  0.00B 设置环境变量 EDITION
ENV EDITION=SELF_HOSTED
                        
# 2025-03-24 09:50:15  0.00B 设置环境变量 FLASK_APP
ENV FLASK_APP=app.py
                        
# 2025-03-24 09:50:15  0.00B 设置环境变量 POETRY_REQUESTS_TIMEOUT
ENV POETRY_REQUESTS_TIMEOUT=15
                        
# 2025-03-24 09:50:15  0.00B 设置环境变量 POETRY_VIRTUALENVS_CREATE
ENV POETRY_VIRTUALENVS_CREATE=true
                        
# 2025-03-24 09:50:15  0.00B 设置环境变量 POETRY_VIRTUALENVS_IN_PROJECT
ENV POETRY_VIRTUALENVS_IN_PROJECT=true
                        
# 2025-03-24 09:50:15  0.00B 设置环境变量 POETRY_NO_INTERACTION
ENV POETRY_NO_INTERACTION=1
                        
# 2025-03-24 09:50:15  0.00B 设置环境变量 POETRY_CACHE_DIR
ENV POETRY_CACHE_DIR=/tmp/poetry_cache
                        
# 2025-03-24 09:50:15  60.62MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir poetry==${POETRY_VERSION} # buildkit
                        
# 2025-03-24 09:50:15  0.00B 设置环境变量 POETRY_VERSION
ENV POETRY_VERSION=2.0.1
                        
# 2025-03-24 09:50:09  0.00B 设置工作目录为/app/api
WORKDIR /app/api
                        
# 2025-02-05 05:54:55  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2025-02-05 05:54:55  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
                        
# 2025-02-05 05:54:55  40.39MB 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="$gnuArch" 		--enable-loadable-sqlite-extensions 		--enable-optimizations 		--enable-option-checking=fatal 		--enable-shared 		--with-lto 		--with-ensurepip 	; 	nproc="$(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
                        
# 2025-02-05 05:54:55  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=7220835d9f90b37c006e9842a8dff4580aaca4318674f947302b8d28f3f81112
                        
# 2025-02-05 05:54:55  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.12.9
                        
# 2025-02-05 05:54:55  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305
                        
# 2025-02-05 05:54:55  9.24MB 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
                        
# 2025-02-05 05:54:55  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-02-05 05:54:55  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
                        
# 2025-02-05 05:54:55  74.78MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1742169600'
                        
                    

镜像信息

{
    "Id": "sha256:a4c41ebfbd487293d597566dc76bad286e949e777da50a122a8f3c71e2fd3b59",
    "RepoTags": [
        "langgenius/dify-api:0.15.5",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.5"
    ],
    "RepoDigests": [
        "langgenius/dify-api@sha256:5c8b909ed4872decac0ac6fab035755833e4cfad6a8e587b45e48902dbb8ae50",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api@sha256:0f216710d33fecc5839172c4d0f64a174baa870427e776c679aef1c26eb46a5e"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-03-24T08:52:27.348352578Z",
    "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=3.12.9",
            "PYTHON_SHA256=7220835d9f90b37c006e9842a8dff4580aaca4318674f947302b8d28f3f81112",
            "POETRY_VERSION=2.0.1",
            "POETRY_CACHE_DIR=/tmp/poetry_cache",
            "POETRY_NO_INTERACTION=1",
            "POETRY_VIRTUALENVS_IN_PROJECT=true",
            "POETRY_VIRTUALENVS_CREATE=true",
            "POETRY_REQUESTS_TIMEOUT=15",
            "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",
            "COMMIT_SHA=8e75eb5c631694e409977a0239d57e9bc165f4d7"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app/api",
        "Entrypoint": [
            "/bin/bash",
            "/entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2025-03-24T08:50:42.854Z",
            "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": "8e75eb5c631694e409977a0239d57e9bc165f4d7",
            "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": "0.15.5"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 2966440832,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/fcfc3148c0ac792e7f1f04c5d5f6728138d38ba277fb2b06f966b350cc93835c/diff:/var/lib/docker/overlay2/a8173de17c034751a272a1e93603e2bf511641ffbef0041772b2cf7a3eb2f22d/diff:/var/lib/docker/overlay2/f8ceac9ebb57cd43284c4236c7b284c1b1fee285b82f769001778d6c08b63f69/diff:/var/lib/docker/overlay2/29dc3f118b86497a1aad0faac16a444dd5e3611dab90ecb24c017c40aa72dfae/diff:/var/lib/docker/overlay2/9bc8830f74d336ad05be762fe4fb8378c183a5bd3c3996bf2791a222e9bff8bf/diff:/var/lib/docker/overlay2/55ba6eee04a10007355d4850d6db9ee991a3086de9406103728c817e44f47129/diff:/var/lib/docker/overlay2/82b9c930bddb6352514201774c048576065288ad3f5199d420b4246953c7d4f8/diff:/var/lib/docker/overlay2/671687acc237dc5211ee1c180c08284c1cf505d00ea04e7836fae1b5fd26c0af/diff:/var/lib/docker/overlay2/fca077b3514e4da38400651297df39dd5b009f90270dfa8bfa2d2b64cbe9fc93/diff:/var/lib/docker/overlay2/6145d8d4e2a505921f5e60e70b99aa1549e0b23934ec558e470e777451a07e5c/diff:/var/lib/docker/overlay2/86c58c7d530297be9bb896b91f9d5cdc97f5e46097af7e06006f3e88a1b26353/diff:/var/lib/docker/overlay2/7295d95395d04ab7dfa97ead24c0ca9b06125f4f3277903f0a1a9d60d3c5e7ca/diff",
            "MergedDir": "/var/lib/docker/overlay2/c3bebdfb37ad02c777ad90fffbf7f0fbfd1a1e32166627b3d2a84e13407d30aa/merged",
            "UpperDir": "/var/lib/docker/overlay2/c3bebdfb37ad02c777ad90fffbf7f0fbfd1a1e32166627b3d2a84e13407d30aa/diff",
            "WorkDir": "/var/lib/docker/overlay2/c3bebdfb37ad02c777ad90fffbf7f0fbfd1a1e32166627b3d2a84e13407d30aa/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:1287fbecdfcce6ee8cf2436e5b9e9d86a4648db2d91080377d499737f1b307f3",
            "sha256:3629edeced434acc9f0e01eb37afbfbc3d7a30114e9ee074dfa436610e78fb0a",
            "sha256:a38884fb03602f20bd861c186abe413aed4c812de501a5da5682da772c77396e",
            "sha256:9ae9750f0b5d1ba07bac437161462e5fd381be32ee8c16af4383e4c12513a27a",
            "sha256:3b0955b88954e2e13e30d9de0ca4c6c3df5354f52246ae9edaec1878c8bfde72",
            "sha256:77769ffd7967abcca36fe3d9662001577ea0ca8ec29fcbcb11084d2191a50d7a",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:905aee087d6b7fe7395bb332a807999d3112843a1c813b6af2fedce67fd3ee07",
            "sha256:332a44b1e8c7983d42e28254062b202522028f53b93b740b749285465614bd2f",
            "sha256:2279e15a67923652d09f0aca6fdfcde41834c2f59ec180fe5ab1a785ac9b8e41",
            "sha256:d3a3e2483bf281edb029fabc05344a6e8ed2365e2ee671e8ff3434af08337d5e",
            "sha256:d3d378f4ed3eee1f6b64b9119b768a4434505a8f3e2a17d4fe2a9cd505334b33",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-03-28T11:16:46.875465285+08:00"
    }
}