docker.io/langgenius/dify-api:0.15.0 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:0.15.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.0  docker.io/langgenius/dify-api:0.15.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.0  docker.io/langgenius/dify-api:0.15.0

Shell快速替换命令

sed -i 's#langgenius/dify-api:0.15.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.0#' 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:0.15.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.0  docker.io/langgenius/dify-api:0.15.0'

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:0.15.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.0  docker.io/langgenius/dify-api:0.15.0'

镜像构建历史

# 2025-01-07 18:06:39  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/bin/bash" "/entrypoint.sh"]
                        
# 2025-01-07 18:06:39  0.00B 设置环境变量 COMMIT_SHA
ENV COMMIT_SHA=c236f05f4b575884b42fc45819ad71b05a22115c
                        
# 2025-01-07 18:06:39  0.00B 定义构建参数
ARG COMMIT_SHA=c236f05f4b575884b42fc45819ad71b05a22115c
                        
# 2025-01-07 18:06:39  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /entrypoint.sh # buildkit
                        
# 2025-01-07 18:06:39  1.30KB 复制新文件或目录到容器中
COPY docker/entrypoint.sh /entrypoint.sh # buildkit
                        
# 2025-01-07 18:06:39  21.98MB 复制新文件或目录到容器中
COPY . /app/api/ # buildkit
                        
# 2025-01-07 09:11:23  89.85MB 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
                        
# 2025-01-07 09:11:18  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
                        
# 2025-01-07 09:11:18  2.40GB 复制新文件或目录到容器中
COPY /app/api/.venv /app/api/.venv # buildkit
                        
# 2025-01-07 09:11:05  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/app/api/.venv
                        
# 2025-01-07 09:11:05  290.80MB 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     && echo "deb http://deb.debian.org/debian testing main" > /etc/apt/sources.list     && apt-get update     && apt-get install -y --no-install-recommends expat=2.6.4-1 libldap-2.5-0=2.5.19+dfsg-1 perl=5.40.0-8 libsqlite3-0=3.46.1-1 zlib1g=1:1.3.dfsg+really1.3.1-1+b1     && apt-get install -y fonts-noto-cjk     && apt-get autoremove -y     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-01-07 18:06:39  0.00B 设置工作目录为/app/api
WORKDIR /app/api
                        
# 2025-01-07 09:09:33  0.00B 设置环境变量 TZ
ENV TZ=UTC
                        
# 2025-01-07 09:09:33  0.00B 声明容器运行时监听的端口
EXPOSE map[5001/tcp:{}]
                        
# 2025-01-07 09:09:33  0.00B 设置环境变量 APP_WEB_URL
ENV APP_WEB_URL=http://127.0.0.1:3000
                        
# 2025-01-07 09:09:33  0.00B 设置环境变量 SERVICE_API_URL
ENV SERVICE_API_URL=http://127.0.0.1:5001
                        
# 2025-01-07 09:09:33  0.00B 设置环境变量 CONSOLE_WEB_URL
ENV CONSOLE_WEB_URL=http://127.0.0.1:3000
                        
# 2025-01-07 09:09:33  0.00B 设置环境变量 CONSOLE_API_URL
ENV CONSOLE_API_URL=http://127.0.0.1:5001
                        
# 2025-01-07 09:09:33  0.00B 设置环境变量 DEPLOY_ENV
ENV DEPLOY_ENV=PRODUCTION
                        
# 2025-01-07 09:09:33  0.00B 设置环境变量 EDITION
ENV EDITION=SELF_HOSTED
                        
# 2025-01-07 09:09:33  0.00B 设置环境变量 FLASK_APP
ENV FLASK_APP=app.py
                        
# 2025-01-07 09:09:33  0.00B 设置环境变量 POETRY_REQUESTS_TIMEOUT
ENV POETRY_REQUESTS_TIMEOUT=15
                        
# 2025-01-07 09:09:33  0.00B 设置环境变量 POETRY_VIRTUALENVS_CREATE
ENV POETRY_VIRTUALENVS_CREATE=true
                        
# 2025-01-07 09:09:33  0.00B 设置环境变量 POETRY_VIRTUALENVS_IN_PROJECT
ENV POETRY_VIRTUALENVS_IN_PROJECT=true
                        
# 2025-01-07 09:09:33  0.00B 设置环境变量 POETRY_NO_INTERACTION
ENV POETRY_NO_INTERACTION=1
                        
# 2025-01-07 09:09:33  0.00B 设置环境变量 POETRY_CACHE_DIR
ENV POETRY_CACHE_DIR=/tmp/poetry_cache
                        
# 2025-01-07 09:09:33  60.70MB 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
                        
# 2025-01-07 09:09:33  0.00B 设置环境变量 POETRY_VERSION
ENV POETRY_VERSION=1.8.4
                        
# 2025-01-07 09:09:26  0.00B 设置工作目录为/app/api
WORKDIR /app/api
                        
# 2024-12-04 08:36:05  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2024-12-04 08:36:05  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
                        
# 2024-12-04 08:36:05  40.34MB 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="${LDFLAGS:--Wl},--strip-all"; 	make -j "$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
                        
# 2024-12-04 08:36:05  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=c909157bb25ec114e5869124cc2a9c4a4d4c1e957ca4ff553f1edc692101154e
                        
# 2024-12-04 08:36:05  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.12.8
                        
# 2024-12-04 08:36:05  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305
                        
# 2024-12-04 08:36:05  8.48MB 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
                        
# 2024-12-04 08:36:05  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2024-12-04 08:36:05  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
                        
# 2024-12-04 08:36:05  74.82MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1734912000'
                        
                    

镜像信息

{
    "Id": "sha256:7c6212cb1f9968f6097a3e0db485f34ded2197fac026732e6b8de4b893136204",
    "RepoTags": [
        "langgenius/dify-api:0.15.0",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.0"
    ],
    "RepoDigests": [
        "langgenius/dify-api@sha256:db8a1a37b598f38e536904d46f6e9ec4c88d689eb494776c6e7923c8e223ccd0",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api@sha256:a21ccee590cadb6c4365d8365f0a83a3a7694a178d79d8321ac22894360f968c"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-01-07T10:06:39.622527254Z",
    "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=3.12.8",
            "PYTHON_SHA256=c909157bb25ec114e5869124cc2a9c4a4d4c1e957ca4ff553f1edc692101154e",
            "POETRY_VERSION=1.8.4",
            "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=c236f05f4b575884b42fc45819ad71b05a22115c"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app/api",
        "Entrypoint": [
            "/bin/bash",
            "/entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2025-01-07T10:07:05.404Z",
            "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": "c236f05f4b575884b42fc45819ad71b05a22115c",
            "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": "0.15.0"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 2986372866,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/b4182555f5d6947231e01a67d5c0ee6a27ebd9ba6860eb19979b7924d4d19e19/diff:/var/lib/docker/overlay2/86462ed0998efecb5ab216d9b937624e11ee532bc41b87bb55a0b9b87eab48b6/diff:/var/lib/docker/overlay2/dcbbd2a7267d2e0d0f4d1d28882deab480a129f067ab5875b2d7e048e2da0a7b/diff:/var/lib/docker/overlay2/db353e51bed083b1e2ecaeb8b0d23d49eb51cae94510ca39832918175ec8ffd5/diff:/var/lib/docker/overlay2/2c22832971c2bd9183e9c6b1a2354d12395c5784ea0a199360f775dad989a79f/diff:/var/lib/docker/overlay2/8ab860d973ba8c8b53a9f65f893a30f9106cfca6a818f96892fc1ce139557652/diff:/var/lib/docker/overlay2/593e940024aad714a3d52952f5436ea42588562fcf44260ae57b5f7befbd4b0d/diff:/var/lib/docker/overlay2/639edc83c5e41f854325b9aff99a44009aa47a0fcc09ea2e895c5dab4013d3b7/diff:/var/lib/docker/overlay2/8725a834d5aa947cf889ce68072c0e2c0e1f4d44652ce4f78bc2588c13152250/diff:/var/lib/docker/overlay2/74d74042de4c5b4640156941d506a75a6b7ef3eb719e5ce1aea0da803c07f815/diff:/var/lib/docker/overlay2/43ecc9bd46837d1a09d1d5d91c304ba1c9a00453eeaa2f8aab45d46b2443597f/diff:/var/lib/docker/overlay2/d7da656d9414ae961b292fa109d069e923b341eab550c2db09cb0ab256f4ae70/diff",
            "MergedDir": "/var/lib/docker/overlay2/4d3407b0f355b5b41564ce2e56287c9f050efa370fe86c58d1b73a658025b6c4/merged",
            "UpperDir": "/var/lib/docker/overlay2/4d3407b0f355b5b41564ce2e56287c9f050efa370fe86c58d1b73a658025b6c4/diff",
            "WorkDir": "/var/lib/docker/overlay2/4d3407b0f355b5b41564ce2e56287c9f050efa370fe86c58d1b73a658025b6c4/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:8b296f48696071aafb5a6286ca60d441a7e559b192fc7f94bb63ee93dae98f17",
            "sha256:0ccb284b60a37d100953058ae1e033b4b05688000f29a926851272d042b79d95",
            "sha256:b775cc45b4ba425dba5fc8fb28e8d9221e505613b485b00cc670e5077aafd0ee",
            "sha256:d45cccea38134c4f3e70af7ab6aced39d9c8d304fa81dfd8b33c8f910a815a68",
            "sha256:4f0cb094fd0d729ad9fa57251b156d1abc59ae2c4c2e8c4345cca0a8b60bf746",
            "sha256:647889e5a91a072b0183a08fb246623126475671ceb6ed40819f3c8f26e3428b",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:4447e92ce9c30a97d4e649c4cdbb550b5bfc06c9f37db7e8443a6300592c87b9",
            "sha256:69b8c2f39c14d466f3834a28277236cfd27a82f9bf2c3f90ecf0ea2d1ef5e2da",
            "sha256:ce7f43e744a750fc1284454b9239aec46251327035f48b362434a250dea44b24",
            "sha256:23bbdb7984457313e6b7038a868bb52723f9429adee034b2c9d928c8d57acaa1",
            "sha256:bb1cb850c18936ba7013117468c00b0d0f89ec45d6dcc2bd309d56eaa823a49c",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-01-08T10:49:58.351654069+08:00"
    }
}