Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ramiawar/dataline:v1.1.5
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ramiawar/dataline:v1.1.5  docker.io/ramiawar/dataline:v1.1.5

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ramiawar/dataline:v1.1.5
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ramiawar/dataline:v1.1.5  docker.io/ramiawar/dataline:v1.1.5

Shell快速替换命令

sed -i 's#ramiawar/dataline:v1.1.5#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ramiawar/dataline:v1.1.5#' 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/ramiawar/dataline:v1.1.5 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ramiawar/dataline:v1.1.5  docker.io/ramiawar/dataline:v1.1.5'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ramiawar/dataline:v1.1.5 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/ramiawar/dataline:v1.1.5  docker.io/ramiawar/dataline:v1.1.5'

镜像构建历史

# 2025-03-06 07:08:52  0.00B 设置默认要执行的命令
CMD ["bash" "-c" "python -m dataline.main"]
                        
# 2025-03-06 07:08:52  0.00B 设置环境变量 ALLOWED_ORIGINS
ENV ALLOWED_ORIGINS=
                        
# 2025-03-06 07:08:52  0.00B 定义构建参数
ARG ALLOWED_ORIGINS
                        
# 2025-03-06 07:08:52  0.00B 设置环境变量 AUTH_PASSWORD
ENV AUTH_PASSWORD=
                        
# 2025-03-06 07:08:52  0.00B 定义构建参数
ARG AUTH_PASSWORD
                        
# 2025-03-06 07:08:52  0.00B 设置环境变量 AUTH_USERNAME
ENV AUTH_USERNAME=
                        
# 2025-03-06 07:08:52  0.00B 定义构建参数
ARG AUTH_USERNAME
                        
# 2025-03-06 07:08:52  0.00B 设置环境变量 SPA_MODE
ENV SPA_MODE=1
                        
# 2025-03-06 07:08:52  7.82MB 执行命令并创建新的镜像层
RUN /bin/sh -c cp -r /home/dataline/frontend/dist/assets /home/dataline/backend &&     cp /home/dataline/frontend/dist/favicon.ico /home/dataline/backend/assets &&     cp /home/dataline/frontend/dist/.vite/manifest.json /home/dataline/backend/assets # buildkit
                        
# 2025-03-06 07:08:52  8.22MB 复制新文件或目录到容器中
COPY /home/dataline/frontend/dist /home/dataline/frontend/dist # buildkit
                        
# 2025-03-06 07:08:35  0.00B 设置工作目录为/home/dataline/backend
WORKDIR /home/dataline/backend
                        
# 2025-03-06 07:08:35  0.00B 设置环境变量 DATA_DIRECTORY
ENV DATA_DIRECTORY=/home/.dataline/data
                        
# 2025-03-06 07:08:35  0.00B 设置环境变量 SQLITE_PATH
ENV SQLITE_PATH=/home/.dataline/db.sqlite3
                        
# 2025-03-06 07:08:35  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /home/.dataline # buildkit
                        
# 2025-03-06 07:08:35  0.00B 设置工作目录为/home/dataline
WORKDIR /home/dataline
                        
# 2025-03-06 07:08:35  3.50KB 复制新文件或目录到容器中
COPY backend/alembic.ini . # buildkit
                        
# 2025-03-06 07:08:35  1.77KB 复制新文件或目录到容器中
COPY backend/templates ./templates # buildkit
                        
# 2025-03-06 07:08:35  11.93KB 复制新文件或目录到容器中
COPY backend/alembic ./alembic # buildkit
                        
# 2025-03-06 07:08:34  194.08KB 复制新文件或目录到容器中
COPY backend/dataline ./dataline # buildkit
                        
# 2025-03-06 07:08:34  9.68MB 复制新文件或目录到容器中
COPY backend/samples ./samples # buildkit
                        
# 2025-03-06 07:08:34  0.00B 复制新文件或目录到容器中
COPY backend/*.py . # buildkit
                        
# 2025-03-06 07:08:34  0.00B 设置环境变量 PATH
ENV PATH=/home/dataline/backend/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-03-06 07:08:34  677.13MB 执行命令并创建新的镜像层
RUN /bin/sh -c uv sync --no-dev --frozen --no-install-project --compile-bytecode # buildkit
                        
# 2025-03-06 07:08:12  310.80KB 复制新文件或目录到容器中
COPY backend/uv.lock backend/pyproject.toml ./ # buildkit
                        
# 2025-03-06 07:08:12  37.52MB 复制新文件或目录到容器中
COPY /uv /uvx /bin/ # buildkit
                        
# 2025-03-06 07:08:12  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /home/dataline/backend # buildkit
                        
# 2025-03-06 07:08:12  21.11MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt update && apt install --no-install-recommends libpq5 -y # buildkit
                        
# 2025-03-06 07:08:12  0.00B 设置环境变量 UV_COMPILE_BYTECODE
ENV UV_COMPILE_BYTECODE=1
                        
# 2025-03-06 07:08:12  0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
                        
# 2025-03-06 07:08:12  0.00B 设置环境变量 PYTHONDONTWRITEBYTECODE
ENV PYTHONDONTWRITEBYTECODE=1
                        
# 2025-03-06 07:08:09  0.00B 设置工作目录为/home/dataline/backend
WORKDIR /home/dataline/backend
                        
# 2024-12-04 06:49:59  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2024-12-04 06:49:59  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 06:49:59  45.80MB 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 install 		--disable-pip-version-check 		--no-cache-dir 		--no-compile 		'setuptools==65.5.1' 		wheel 	; 	pip3 --version # buildkit
                        
# 2024-12-04 06:49:59  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=2a9920c7a0cd236de33644ed980a13cbbc21058bfdc528febb6081575ed73be3
                        
# 2024-12-04 06:49:59  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.11
                        
# 2024-12-04 06:49:59  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2024-12-04 06:49:59  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
                        
# 2024-12-04 06:49:59  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2024-12-04 06:49:59  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 06:49:59  74.78MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1740355200'
                        
                    

镜像信息

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    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-03-05T23:08:52.632066567Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
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        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
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            "GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D",
            "PYTHON_VERSION=3.11.11",
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            "UV_COMPILE_BYTECODE=1",
            "SQLITE_PATH=/home/.dataline/db.sqlite3",
            "DATA_DIRECTORY=/home/.dataline/data",
            "SPA_MODE=1",
            "AUTH_USERNAME=",
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        "Cmd": [
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        "ArgsEscaped": true,
        "Image": "",
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        "WorkingDir": "/home/dataline/backend",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2025-03-05T23:07:52.071Z",
            "org.opencontainers.image.description": "Chat with your data - AI data analysis and visualization on CSV, Postgres, MySQL, Snowflake, SQLite...",
            "org.opencontainers.image.licenses": "GPL-3.0",
            "org.opencontainers.image.revision": "831d44b0216eb7e59a038ec9e819095b2de56361",
            "org.opencontainers.image.source": "https://github.com/RamiAwar/dataline",
            "org.opencontainers.image.title": "dataline",
            "org.opencontainers.image.url": "https://github.com/RamiAwar/dataline",
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    "Architecture": "amd64",
    "Os": "linux",
    "Size": 891812223,
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