docker.io/langgenius/dify-api:0.15.3 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:0.15.3
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.3  docker.io/langgenius/dify-api:0.15.3

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.3
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.3  docker.io/langgenius/dify-api:0.15.3

Shell快速替换命令

sed -i 's#langgenius/dify-api:0.15.3#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.3#' 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:0.15.3 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.3  docker.io/langgenius/dify-api:0.15.3'

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:0.15.3 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.3  docker.io/langgenius/dify-api:0.15.3'

镜像构建历史

# 2025-02-07 15:21:08  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/bin/bash" "/entrypoint.sh"]
                        
# 2025-02-07 15:21:08  0.00B 设置环境变量 COMMIT_SHA
ENV COMMIT_SHA=ca19bd31d42fb87c83b91541c473ebae85e9d14e
                        
# 2025-02-07 15:21:08  0.00B 定义构建参数
ARG COMMIT_SHA=ca19bd31d42fb87c83b91541c473ebae85e9d14e
                        
# 2025-02-07 15:21:08  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /entrypoint.sh # buildkit
                        
# 2025-02-07 15:21:08  1.32KB 复制新文件或目录到容器中
COPY docker/entrypoint.sh /entrypoint.sh # buildkit
                        
# 2025-02-07 15:21:08  22.16MB 复制新文件或目录到容器中
COPY . /app/api/ # buildkit
                        
# 2025-02-07 09:14:03  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
                        
# 2025-02-07 09:13:58  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
                        
# 2025-02-07 09:13:58  2.42GB 复制新文件或目录到容器中
COPY /app/api/.venv /app/api/.venv # buildkit
                        
# 2025-02-07 09:12:34  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/app/api/.venv
                        
# 2025-02-07 09:12:34  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
                        
# 2025-02-07 15:21:08  0.00B 设置工作目录为/app/api
WORKDIR /app/api
                        
# 2025-02-07 09:12:25  0.00B 设置环境变量 TZ
ENV TZ=UTC
                        
# 2025-02-07 09:12:25  0.00B 声明容器运行时监听的端口
EXPOSE map[5001/tcp:{}]
                        
# 2025-02-07 09:12:25  0.00B 设置环境变量 APP_WEB_URL
ENV APP_WEB_URL=http://127.0.0.1:3000
                        
# 2025-02-07 09:12:25  0.00B 设置环境变量 SERVICE_API_URL
ENV SERVICE_API_URL=http://127.0.0.1:5001
                        
# 2025-02-07 09:12:25  0.00B 设置环境变量 CONSOLE_WEB_URL
ENV CONSOLE_WEB_URL=http://127.0.0.1:3000
                        
# 2025-02-07 09:12:25  0.00B 设置环境变量 CONSOLE_API_URL
ENV CONSOLE_API_URL=http://127.0.0.1:5001
                        
# 2025-02-07 09:12:25  0.00B 设置环境变量 DEPLOY_ENV
ENV DEPLOY_ENV=PRODUCTION
                        
# 2025-02-07 09:12:25  0.00B 设置环境变量 EDITION
ENV EDITION=SELF_HOSTED
                        
# 2025-02-07 09:12:25  0.00B 设置环境变量 FLASK_APP
ENV FLASK_APP=app.py
                        
# 2025-02-07 09:12:25  0.00B 设置环境变量 POETRY_REQUESTS_TIMEOUT
ENV POETRY_REQUESTS_TIMEOUT=15
                        
# 2025-02-07 09:12:25  0.00B 设置环境变量 POETRY_VIRTUALENVS_CREATE
ENV POETRY_VIRTUALENVS_CREATE=true
                        
# 2025-02-07 09:12:25  0.00B 设置环境变量 POETRY_VIRTUALENVS_IN_PROJECT
ENV POETRY_VIRTUALENVS_IN_PROJECT=true
                        
# 2025-02-07 09:12:25  0.00B 设置环境变量 POETRY_NO_INTERACTION
ENV POETRY_NO_INTERACTION=1
                        
# 2025-02-07 09:12:25  0.00B 设置环境变量 POETRY_CACHE_DIR
ENV POETRY_CACHE_DIR=/tmp/poetry_cache
                        
# 2025-02-07 09:12:25  60.38MB 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
                        
# 2025-02-07 09:12:25  0.00B 设置环境变量 POETRY_VERSION
ENV POETRY_VERSION=2.0.1
                        
# 2025-02-07 09:12:17  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
                        
# 2025-02-03 08:00:00  74.77MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1738540800'
                        
                    

镜像信息

{
    "Id": "sha256:e05373163e63f56b74d61d5a571295d8368ec7846d6cedca8e8e2372bfe2c222",
    "RepoTags": [
        "langgenius/dify-api:0.15.3",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.3"
    ],
    "RepoDigests": [
        "langgenius/dify-api@sha256:20a7c498bbbe4340f52b3d1ad10a0cff5b48670c9df634b4d37d2335b3a1fd5f",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api@sha256:5537b8966c3d1f0cee48df8c904195fbd37752385e4189f1940026d909092b0d"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-02-07T07:21:08.602899207Z",
    "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=ca19bd31d42fb87c83b91541c473ebae85e9d14e"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app/api",
        "Entrypoint": [
            "/bin/bash",
            "/entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2025-02-07T07:21:13.878Z",
            "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": "ca19bd31d42fb87c83b91541c473ebae85e9d14e",
            "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": "0.15.3"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 2966098434,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/21553914d33129f15a011392721d412b21c14ba25af80d5c2acb3587c80b897a/diff:/var/lib/docker/overlay2/1ec6dc3bf1466f6ba5e535bd28c94c7ce229df5bd68a6e655ac42bef74542eb1/diff:/var/lib/docker/overlay2/257a6d6dfda2d2941ca5da70849e47323044ec89d41ea78dd5e1499fbed1f6ff/diff:/var/lib/docker/overlay2/8feea2a178f9fc1e26fad68766935f86fd4f10e403c8a711608d52c9523d091d/diff:/var/lib/docker/overlay2/e1875309cd4e264da8f91561ec3b5e639026938824976b2478ab887036d198ad/diff:/var/lib/docker/overlay2/714d62923de99d2fd9c3f4a90f52fea663ff4d47517f972850f3975fffd0739f/diff:/var/lib/docker/overlay2/6e186f910257c348ecec06e263cde9ee06a72f92e5ad53f2d8f4e1a93e19144c/diff:/var/lib/docker/overlay2/214826e1d4c0923f6880cf5b76226e62f856d81afc80f1f5eaefca1852ef0578/diff:/var/lib/docker/overlay2/1a63b3271ae56586508a366ab7b3319da03247b1f1ead2616e93dc0bc8ac035f/diff:/var/lib/docker/overlay2/cb0df660d146bae4fc9559730578b386792e4e40a106470b1c5e7aa9323c9f34/diff:/var/lib/docker/overlay2/3383e03eb84cebb7dfb27b004acf26c2ce829f537c610b87644d20495638401a/diff:/var/lib/docker/overlay2/3b9f1c9f79955caf411c0b023b4b965e6d1cfb19e48945a40ce0924977816e6d/diff",
            "MergedDir": "/var/lib/docker/overlay2/75cf121505a36f6224d70cecddc683840b3d5ef45d143b27be9eabe4da4ece94/merged",
            "UpperDir": "/var/lib/docker/overlay2/75cf121505a36f6224d70cecddc683840b3d5ef45d143b27be9eabe4da4ece94/diff",
            "WorkDir": "/var/lib/docker/overlay2/75cf121505a36f6224d70cecddc683840b3d5ef45d143b27be9eabe4da4ece94/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:7914c8f600f532b7adbd0b003888e3aa921687d62dbe2f1f829d0ab6234a158a",
            "sha256:c3844976239d3cd54752ce09eba7b86324507e139fd7e55c79993b454aef26c4",
            "sha256:7dc17f2f98313aac5a19a5176909d41fb3f06c4c1a7b996784b2f163fa910c7b",
            "sha256:05956879d134e3e690849ac70930ffdbf5b746fc58a2009c26d97f0b49af1ce2",
            "sha256:8341fd5b8432023e6432d635a16a3238f270c8d2a78a852fff3ad1bbb63055ed",
            "sha256:7d9939f639e167e0c07220967b4f18220b34859af0c80d22818da793810a3cf4",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:3420b2642107c1bc13d82b7d9e2ab0ef67fdc0b132e63f9ef92f4582e4265d82",
            "sha256:ca406a31bbbd977297d1464a165b43feb529c3f58ecf2c690d9cd694bc677513",
            "sha256:3d0189102d961145592d40fe64298250bca65fe810c1f35ce55e30eb221b59b7",
            "sha256:6cfaa1130f2d43069435309aaeb1ce34fded51d92c7b6cdfb565a9df41421a70",
            "sha256:b718a34ee5405d43795f239c344bb057ad39e28a12c121bd444cc4bc4b10edf6",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-02-07T20:27:02.359477189+08:00"
    }
}