Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:19d413ac1ea075104e2c0ac93560c7b010c29330
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:19d413ac1ea075104e2c0ac93560c7b010c29330  docker.io/langgenius/dify-api:19d413ac1ea075104e2c0ac93560c7b010c29330

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:19d413ac1ea075104e2c0ac93560c7b010c29330
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:19d413ac1ea075104e2c0ac93560c7b010c29330  docker.io/langgenius/dify-api:19d413ac1ea075104e2c0ac93560c7b010c29330

Shell快速替换命令

sed -i 's#langgenius/dify-api:19d413ac1ea075104e2c0ac93560c7b010c29330#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:19d413ac1ea075104e2c0ac93560c7b010c29330#' 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:19d413ac1ea075104e2c0ac93560c7b010c29330 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:19d413ac1ea075104e2c0ac93560c7b010c29330  docker.io/langgenius/dify-api:19d413ac1ea075104e2c0ac93560c7b010c29330'

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:19d413ac1ea075104e2c0ac93560c7b010c29330 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:19d413ac1ea075104e2c0ac93560c7b010c29330  docker.io/langgenius/dify-api:19d413ac1ea075104e2c0ac93560c7b010c29330'

镜像构建历史

# 2025-02-19 09:16:02  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/bin/bash" "/entrypoint.sh"]
                        
# 2025-02-19 09:16:02  0.00B 设置环境变量 COMMIT_SHA
ENV COMMIT_SHA=19d413ac1ea075104e2c0ac93560c7b010c29330
                        
# 2025-02-19 09:16:02  0.00B 定义构建参数
ARG COMMIT_SHA=19d413ac1ea075104e2c0ac93560c7b010c29330
                        
# 2025-02-19 09:16:02  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /entrypoint.sh # buildkit
                        
# 2025-02-19 09:16:02  1.32KB 复制新文件或目录到容器中
COPY docker/entrypoint.sh /entrypoint.sh # buildkit
                        
# 2025-02-19 09:16:02  11.68MB 复制新文件或目录到容器中
COPY . /app/api/ # buildkit
                        
# 2025-02-17 23:39:22  3.26MB 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
                        
# 2025-02-17 23:39:20  0.00B 设置环境变量 TIKTOKEN_CACHE_DIR
ENV TIKTOKEN_CACHE_DIR=/app/api/.tiktoken_cache
                        
# 2025-02-17 23:39:20  67.88MB 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
                        
# 2025-02-17 23:39:18  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
                        
# 2025-02-17 23:39:18  1.63GB 复制新文件或目录到容器中
COPY /app/api/.venv /app/api/.venv # buildkit
                        
# 2025-02-16 21:40:29  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/app/api/.venv
                        
# 2025-02-16 21:40:29  248.09MB 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         media-types         libmagic1     && apt-get autoremove -y     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-02-19 09:16:02  0.00B 设置工作目录为/app/api
WORKDIR /app/api
                        
# 2025-02-15 12:19:43  0.00B 设置环境变量 TZ
ENV TZ=UTC
                        
# 2025-02-15 12:19:43  0.00B 声明容器运行时监听的端口
EXPOSE map[5001/tcp:{}]
                        
# 2025-02-15 12:19:43  0.00B 设置环境变量 APP_WEB_URL
ENV APP_WEB_URL=http://127.0.0.1:3000
                        
# 2025-02-15 12:19:43  0.00B 设置环境变量 SERVICE_API_URL
ENV SERVICE_API_URL=http://127.0.0.1:5001
                        
# 2025-02-15 12:19:43  0.00B 设置环境变量 CONSOLE_WEB_URL
ENV CONSOLE_WEB_URL=http://127.0.0.1:3000
                        
# 2025-02-15 12:19:43  0.00B 设置环境变量 CONSOLE_API_URL
ENV CONSOLE_API_URL=http://127.0.0.1:5001
                        
# 2025-02-15 12:19:43  0.00B 设置环境变量 DEPLOY_ENV
ENV DEPLOY_ENV=PRODUCTION
                        
# 2025-02-15 12:19:43  0.00B 设置环境变量 EDITION
ENV EDITION=SELF_HOSTED
                        
# 2025-02-15 12:19:43  0.00B 设置环境变量 FLASK_APP
ENV FLASK_APP=app.py
                        
# 2025-02-15 12:19:43  0.00B 设置环境变量 POETRY_REQUESTS_TIMEOUT
ENV POETRY_REQUESTS_TIMEOUT=15
                        
# 2025-02-15 12:19:43  0.00B 设置环境变量 POETRY_VIRTUALENVS_CREATE
ENV POETRY_VIRTUALENVS_CREATE=true
                        
# 2025-02-15 12:19:43  0.00B 设置环境变量 POETRY_VIRTUALENVS_IN_PROJECT
ENV POETRY_VIRTUALENVS_IN_PROJECT=true
                        
# 2025-02-15 12:19:43  0.00B 设置环境变量 POETRY_NO_INTERACTION
ENV POETRY_NO_INTERACTION=1
                        
# 2025-02-15 12:19:43  0.00B 设置环境变量 POETRY_CACHE_DIR
ENV POETRY_CACHE_DIR=/tmp/poetry_cache
                        
# 2025-02-15 12:19:43  60.49MB 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
                        
# 2025-02-15 12:19:43  0.00B 设置环境变量 POETRY_VERSION
ENV POETRY_VERSION=2.0.1
                        
# 2025-02-15 12:19:36  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:fe0a0811a07aa837be2eaf1344222c00dc7b7ae851d561183d82911866450e68",
    "RepoTags": [
        "langgenius/dify-api:19d413ac1ea075104e2c0ac93560c7b010c29330",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:19d413ac1ea075104e2c0ac93560c7b010c29330"
    ],
    "RepoDigests": [
        "langgenius/dify-api@sha256:32b059ba77b104bbe813eb6f805e78e876d6f3220a565cc0cc981f5b5fe6685d",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api@sha256:97e868d8b9d921c552b778f5c6ca78d0c5eea195e8cee212a7b13b2a348dc674"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-02-19T01:16:02.9843981Z",
    "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",
            "TIKTOKEN_CACHE_DIR=/app/api/.tiktoken_cache",
            "COMMIT_SHA=19d413ac1ea075104e2c0ac93560c7b010c29330"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app/api",
        "Entrypoint": [
            "/bin/bash",
            "/entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2025-02-19T02:56:43.424Z",
            "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": "19d413ac1ea075104e2c0ac93560c7b010c29330",
            "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": "main"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 2141250235,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/7d8fed875a9333842d98d8e9e6bb4bab85d1bdff912c2f5ad83e5f4736804763/diff:/var/lib/docker/overlay2/d9b2a8d86883f3859051062b481b0d57148f591c2b58ecc0f83ef138eeb6a1a3/diff:/var/lib/docker/overlay2/dbaf5627c32f2de4c4883fdd08bf8e74d75cdab9e25e5318795e8569b1f37cb4/diff:/var/lib/docker/overlay2/d9d6c56e05286eb254dbea345cc8a3934b9dd67bddfd30b6e266bfa868faccb3/diff:/var/lib/docker/overlay2/dba92569ce5b19bc4e7645ef035907477ef88d0dca840c316c1b1ad7faa4f9ae/diff:/var/lib/docker/overlay2/4560eb10dd4d285acdce4c387186a7c51f9ececec72cbed5d42cf8aac53b79fa/diff:/var/lib/docker/overlay2/bf81a36b270f05b2b208574fe823a3e16e06871570c03245cf8990781ae9435e/diff:/var/lib/docker/overlay2/d513792b6a31e7a205037295083d5586a6bea2921cb28c10d479b653e7f66a47/diff:/var/lib/docker/overlay2/518d412fb250f561e4311959d4fa5b082d4f90d32befe781405755d682ebbda7/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/overlay2/25e838a47b90d9393986fe577f6946c85f311e6a3e8d87f13e58bcf5be5b7839/merged",
            "UpperDir": "/var/lib/docker/overlay2/25e838a47b90d9393986fe577f6946c85f311e6a3e8d87f13e58bcf5be5b7839/diff",
            "WorkDir": "/var/lib/docker/overlay2/25e838a47b90d9393986fe577f6946c85f311e6a3e8d87f13e58bcf5be5b7839/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:7914c8f600f532b7adbd0b003888e3aa921687d62dbe2f1f829d0ab6234a158a",
            "sha256:c3844976239d3cd54752ce09eba7b86324507e139fd7e55c79993b454aef26c4",
            "sha256:7dc17f2f98313aac5a19a5176909d41fb3f06c4c1a7b996784b2f163fa910c7b",
            "sha256:05956879d134e3e690849ac70930ffdbf5b746fc58a2009c26d97f0b49af1ce2",
            "sha256:b48f322b6c88d564dbf12da8cf5436a21f9ab6ca21ab7ebc266dbd3b13b2e121",
            "sha256:9dc86b1e0ffa5e795743431c9c226fabac64106c7f1e5579acc2e707cbc4a6b9",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:1edda584d101d2704a1a53f56ac93bd7739fc2a1068bc02a675bfb5f5d02b950",
            "sha256:c703687154ead1584ff8e53ffca9b551bb74ca572aaaf9b6b3e7dd0af254ac4c",
            "sha256:390087d9bff2fd41df87a913a36ab14fd100b6dd090e07ffbd16d326a6fc3a32",
            "sha256:74cc3f4efdba1e8a3939e18d6b4d7b1fd7e5004a69b71958c711304a4c5a8001",
            "sha256:0ce825f6ff895c800b61d54201ff9a4b45ad1ed3aff665d40c7e67a36e948317",
            "sha256:b07fe82016c2b1e0e2c69ee011f63e2bba2d17fadeb9746b90ed89b2b6a05e61",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-02-19T12:58:25.270192329+08:00"
    }
}