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June 15, 2018 10:59
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| { | |
| "cells": [ | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import socket\ns = socket.socket()", | |
| "execution_count": 11, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "s.bind(('127.0.0.1', 0))", | |
| "execution_count": 12, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "s.getsockname()", | |
| "execution_count": 14, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 14, | |
| "data": { | |
| "text/plain": "('127.0.0.1', 58938)" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "port = s.getsockname()[1]\ns.close()\nport", | |
| "execution_count": 16, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 16, | |
| "data": { | |
| "text/plain": "58938" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import docker", | |
| "execution_count": 17, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "client = docker.from_env(version='auto')\nclient.containers.run?", | |
| "execution_count": 33, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": "\u001b[1;31mSignature:\u001b[0m \u001b[0mclient\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcontainers\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcommand\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstdout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstderr\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mremove\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;31mDocstring:\u001b[0m\nRun a container. By default, it will wait for the container to finish\nand return its logs, similar to ``docker run``.\n\nIf the ``detach`` argument is ``True``, it will start the container\nand immediately return a :py:class:`Container` object, similar to\n``docker run -d``.\n\nExample:\n Run a container and get its output:\n\n >>> import docker\n >>> client = docker.from_env()\n >>> client.containers.run('alpine', 'echo hello world')\n b'hello world\\n'\n\n Run a container and detach:\n\n >>> container = client.containers.run('bfirsh/reticulate-splines',\n detach=True)\n >>> container.logs()\n 'Reticulating spline 1...\\nReticulating spline 2...\\n'\n\nArgs:\n image (str): The image to run.\n command (str or list): The command to run in the container.\n auto_remove (bool): enable auto-removal of the container on daemon\n side when the container's process exits.\n blkio_weight_device: Block IO weight (relative device weight) in\n the form of: ``[{\"Path\": \"device_path\", \"Weight\": weight}]``.\n blkio_weight: Block IO weight (relative weight), accepts a weight\n value between 10 and 1000.\n cap_add (list of str): Add kernel capabilities. For example,\n ``[\"SYS_ADMIN\", \"MKNOD\"]``.\n cap_drop (list of str): Drop kernel capabilities.\n cpu_count (int): Number of usable CPUs (Windows only).\n cpu_percent (int): Usable percentage of the available CPUs\n (Windows only).\n cpu_period (int): The length of a CPU period in microseconds.\n cpu_quota (int): Microseconds of CPU time that the container can\n get in a CPU period.\n cpu_shares (int): CPU shares (relative weight).\n cpuset_cpus (str): CPUs in which to allow execution (``0-3``,\n ``0,1``).\n cpuset_mems (str): Memory nodes (MEMs) in which to allow execution\n (``0-3``, ``0,1``). Only effective on NUMA systems.\n detach (bool): Run container in the background and return a\n :py:class:`Container` object.\n device_cgroup_rules (:py:class:`list`): A list of cgroup rules to\n apply to the container.\n device_read_bps: Limit read rate (bytes per second) from a device\n in the form of: `[{\"Path\": \"device_path\", \"Rate\": rate}]`\n device_read_iops: Limit read rate (IO per second) from a device.\n device_write_bps: Limit write rate (bytes per second) from a\n device.\n device_write_iops: Limit write rate (IO per second) from a device.\n devices (:py:class:`list`): Expose host devices to the container,\n as a list of strings in the form\n ``<path_on_host>:<path_in_container>:<cgroup_permissions>``.\n\n For example, ``/dev/sda:/dev/xvda:rwm`` allows the container\n to have read-write access to the host's ``/dev/sda`` via a\n node named ``/dev/xvda`` inside the container.\n dns (:py:class:`list`): Set custom DNS servers.\n dns_opt (:py:class:`list`): Additional options to be added to the\n container's ``resolv.conf`` file.\n dns_search (:py:class:`list`): DNS search domains.\n domainname (str or list): Set custom DNS search domains.\n entrypoint (str or list): The entrypoint for the container.\n environment (dict or list): Environment variables to set inside\n the container, as a dictionary or a list of strings in the\n format ``[\"SOMEVARIABLE=xxx\"]``.\n extra_hosts (dict): Addtional hostnames to resolve inside the\n container, as a mapping of hostname to IP address.\n group_add (:py:class:`list`): List of additional group names and/or\n IDs that the container process will run as.\n healthcheck (dict): Specify a test to perform to check that the\n container is healthy.\n hostname (str): Optional hostname for the container.\n init (bool): Run an init inside the container that forwards\n signals and reaps processes\n init_path (str): Path to the docker-init binary\n ipc_mode (str): Set the IPC mode for the container.\n isolation (str): Isolation technology to use. Default: `None`.\n labels (dict or list): A dictionary of name-value labels (e.g.\n ``{\"label1\": \"value1\", \"label2\": \"value2\"}``) or a list of\n names of labels to set with empty values (e.g.\n ``[\"label1\", \"label2\"]``)\n links (dict or list of tuples): Either a dictionary mapping name\n to alias or as a list of ``(name, alias)`` tuples.\n log_config (dict): Logging configuration, as a dictionary with\n keys:\n\n - ``type`` The logging driver name.\n - ``config`` A dictionary of configuration for the logging\n driver.\n\n mac_address (str): MAC address to assign to the container.\n mem_limit (int or str): Memory limit. Accepts float values\n (which represent the memory limit of the created container in\n bytes) or a string with a units identification char\n (``100000b``, ``1000k``, ``128m``, ``1g``). If a string is\n specified without a units character, bytes are assumed as an\n intended unit.\n mem_swappiness (int): Tune a container's memory swappiness\n behavior. Accepts number between 0 and 100.\n memswap_limit (str or int): Maximum amount of memory + swap a\n container is allowed to consume.\n mounts (:py:class:`list`): Specification for mounts to be added to\n the container. More powerful alternative to ``volumes``. Each\n item in the list is expected to be a\n :py:class:`docker.types.Mount` object.\n name (str): The name for this container.\n nano_cpus (int): CPU quota in units of 1e-9 CPUs.\n network (str): Name of the network this container will be connected\n to at creation time. You can connect to additional networks\n using :py:meth:`Network.connect`. Incompatible with\n ``network_mode``.\n network_disabled (bool): Disable networking.\n network_mode (str): One of:\n\n - ``bridge`` Create a new network stack for the container on\n on the bridge network.\n - ``none`` No networking for this container.\n - ``container:<name|id>`` Reuse another container's network\n stack.\n - ``host`` Use the host network stack.\n\n Incompatible with ``network``.\n oom_kill_disable (bool): Whether to disable OOM killer.\n oom_score_adj (int): An integer value containing the score given\n to the container in order to tune OOM killer preferences.\n pid_mode (str): If set to ``host``, use the host PID namespace\n inside the container.\n pids_limit (int): Tune a container's pids limit. Set ``-1`` for\n unlimited.\n platform (str): Platform in the format ``os[/arch[/variant]]``.\n Only used if the method needs to pull the requested image.\n ports (dict): Ports to bind inside the container.\n\n The keys of the dictionary are the ports to bind inside the\n container, either as an integer or a string in the form\n ``port/protocol``, where the protocol is either ``tcp`` or\n ``udp``.\n\n The values of the dictionary are the corresponding ports to\n open on the host, which can be either:\n\n - The port number, as an integer. For example,\n ``{'2222/tcp': 3333}`` will expose port 2222 inside the\n container as port 3333 on the host.\n - ``None``, to assign a random host port. For example,\n ``{'2222/tcp': None}``.\n - A tuple of ``(address, port)`` if you want to specify the\n host interface. For example,\n ``{'1111/tcp': ('127.0.0.1', 1111)}``.\n - A list of integers, if you want to bind multiple host ports\n to a single container port. For example,\n ``{'1111/tcp': [1234, 4567]}``.\n\n privileged (bool): Give extended privileges to this container.\n publish_all_ports (bool): Publish all ports to the host.\n read_only (bool): Mount the container's root filesystem as read\n only.\n remove (bool): Remove the container when it has finished running.\n Default: ``False``.\n restart_policy (dict): Restart the container when it exits.\n Configured as a dictionary with keys:\n\n - ``Name`` One of ``on-failure``, or ``always``.\n - ``MaximumRetryCount`` Number of times to restart the\n container on failure.\n\n For example:\n ``{\"Name\": \"on-failure\", \"MaximumRetryCount\": 5}``\n\n security_opt (:py:class:`list`): A list of string values to\n customize labels for MLS systems, such as SELinux.\n shm_size (str or int): Size of /dev/shm (e.g. ``1G``).\n stdin_open (bool): Keep ``STDIN`` open even if not attached.\n stdout (bool): Return logs from ``STDOUT`` when ``detach=False``.\n Default: ``True``.\n stderr (bool): Return logs from ``STDERR`` when ``detach=False``.\n Default: ``False``.\n stop_signal (str): The stop signal to use to stop the container\n (e.g. ``SIGINT``).\n storage_opt (dict): Storage driver options per container as a\n key-value mapping.\n stream (bool): If true and ``detach`` is false, return a log\n generator instead of a string. Ignored if ``detach`` is true.\n Default: ``False``.\n sysctls (dict): Kernel parameters to set in the container.\n tmpfs (dict): Temporary filesystems to mount, as a dictionary\n mapping a path inside the container to options for that path.\n\n For example:\n\n .. code-block:: python\n\n {\n '/mnt/vol2': '',\n '/mnt/vol1': 'size=3G,uid=1000'\n }\n\n tty (bool): Allocate a pseudo-TTY.\n ulimits (:py:class:`list`): Ulimits to set inside the container, as\n a list of dicts.\n user (str or int): Username or UID to run commands as inside the\n container.\n userns_mode (str): Sets the user namespace mode for the container\n when user namespace remapping option is enabled. Supported\n values are: ``host``\n volume_driver (str): The name of a volume driver/plugin.\n volumes (dict or list): A dictionary to configure volumes mounted\n inside the container. The key is either the host path or a\n volume name, and the value is a dictionary with the keys:\n\n - ``bind`` The path to mount the volume inside the container\n - ``mode`` Either ``rw`` to mount the volume read/write, or\n ``ro`` to mount it read-only.\n\n For example:\n\n .. code-block:: python\n\n {'/home/user1/': {'bind': '/mnt/vol2', 'mode': 'rw'},\n '/var/www': {'bind': '/mnt/vol1', 'mode': 'ro'}}\n\n volumes_from (:py:class:`list`): List of container names or IDs to\n get volumes from.\n working_dir (str): Path to the working directory.\n runtime (str): Runtime to use with this container.\n\nReturns:\n The container logs, either ``STDOUT``, ``STDERR``, or both,\n depending on the value of the ``stdout`` and ``stderr`` arguments.\n\n ``STDOUT`` and ``STDERR`` may be read only if either ``json-file``\n or ``journald`` logging driver used. Thus, if you are using none of\n these drivers, a ``None`` object is returned instead. See the\n `Engine API documentation\n <https://docs.docker.com/engine/api/v1.30/#operation/ContainerLogs/>`_\n for full details.\n\n If ``detach`` is ``True``, a :py:class:`Container` object is\n returned instead.\n\nRaises:\n :py:class:`docker.errors.ContainerError`\n If the container exits with a non-zero exit code and\n ``detach`` is ``False``.\n :py:class:`docker.errors.ImageNotFound`\n If the specified image does not exist.\n :py:class:`docker.errors.APIError`\n If the server returns an error.\n\u001b[1;31mFile:\u001b[0m ~/conda/lib/python3.6/site-packages/docker/models/containers.py\n\u001b[1;31mType:\u001b[0m method\n" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "port", | |
| "execution_count": 34, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 34, | |
| "data": { | |
| "text/plain": "58938" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "Create the dictionary for docker that forwards our port on the host to the same port in the container" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "port_dict = {'%i/tcp' % port : port}\nport_dict", | |
| "execution_count": 35, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 35, | |
| "data": { | |
| "text/plain": "{'58938/tcp': 58938}" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "Start the container. `detach=True` allows this to return immediately while the container is still running." | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "container = client.containers.run(\n \"jupyter/base-notebook\",\n command=[\"jupyter\", \"notebook\", \"--ip=0.0.0.0\", \"--port=%i\" % port],\n ports=port_dict,\n detach=True,\n remove=True,\n)\ncontainer.attrs", | |
| "execution_count": 39, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 39, | |
| "data": { | |
| "text/plain": "{'Id': '53b926531746b593163047adb2d551299f21012d8247776a4ddc5d528f5a87e5',\n 'Created': '2018-06-15T10:50:58.356344753Z',\n 'Path': 'tini',\n 'Args': ['-g', '--', 'jupyter', 'notebook', '--ip=0.0.0.0', '--port=58938'],\n 'State': {'Status': 'created',\n 'Running': False,\n 'Paused': False,\n 'Restarting': False,\n 'OOMKilled': False,\n 'Dead': False,\n 'Pid': 0,\n 'ExitCode': 0,\n 'Error': '',\n 'StartedAt': '0001-01-01T00:00:00Z',\n 'FinishedAt': '0001-01-01T00:00:00Z'},\n 'Image': 'sha256:4d1850bf13b84d11db172e66449cabd718df7d9e609e7ef40354946993581efb',\n 'ResolvConfPath': '',\n 'HostnamePath': '',\n 'HostsPath': '',\n 'LogPath': '',\n 'Name': '/laughing_mccarthy',\n 'RestartCount': 0,\n 'Driver': 'overlay2',\n 'Platform': 'linux',\n 'MountLabel': '',\n 'ProcessLabel': '',\n 'AppArmorProfile': '',\n 'ExecIDs': None,\n 'HostConfig': {'Binds': None,\n 'ContainerIDFile': '',\n 'LogConfig': {'Type': 'json-file', 'Config': {}},\n 'NetworkMode': 'default',\n 'PortBindings': {'58938/tcp': [{'HostIp': '', 'HostPort': '58938'}]},\n 'RestartPolicy': {'Name': '', 'MaximumRetryCount': 0},\n 'AutoRemove': True,\n 'VolumeDriver': '',\n 'VolumesFrom': None,\n 'CapAdd': None,\n 'CapDrop': None,\n 'Dns': None,\n 'DnsOptions': None,\n 'DnsSearch': None,\n 'ExtraHosts': None,\n 'GroupAdd': None,\n 'IpcMode': 'shareable',\n 'Cgroup': '',\n 'Links': None,\n 'OomScoreAdj': 0,\n 'PidMode': '',\n 'Privileged': False,\n 'PublishAllPorts': False,\n 'ReadonlyRootfs': False,\n 'SecurityOpt': None,\n 'UTSMode': '',\n 'UsernsMode': '',\n 'ShmSize': 67108864,\n 'Runtime': 'runc',\n 'ConsoleSize': [0, 0],\n 'Isolation': '',\n 'CpuShares': 0,\n 'Memory': 0,\n 'NanoCpus': 0,\n 'CgroupParent': '',\n 'BlkioWeight': 0,\n 'BlkioWeightDevice': None,\n 'BlkioDeviceReadBps': None,\n 'BlkioDeviceWriteBps': None,\n 'BlkioDeviceReadIOps': None,\n 'BlkioDeviceWriteIOps': None,\n 'CpuPeriod': 0,\n 'CpuQuota': 0,\n 'CpuRealtimePeriod': 0,\n 'CpuRealtimeRuntime': 0,\n 'CpusetCpus': '',\n 'CpusetMems': '',\n 'Devices': None,\n 'DeviceCgroupRules': None,\n 'DiskQuota': 0,\n 'KernelMemory': 0,\n 'MemoryReservation': 0,\n 'MemorySwap': 0,\n 'MemorySwappiness': None,\n 'OomKillDisable': False,\n 'PidsLimit': 0,\n 'Ulimits': None,\n 'CpuCount': 0,\n 'CpuPercent': 0,\n 'IOMaximumIOps': 0,\n 'IOMaximumBandwidth': 0},\n 'GraphDriver': {'Data': {'LowerDir': '/var/lib/docker/overlay2/b824e3c97b4fafe4aa48f6d62730e19e6daa6abddbd324d59a0630eeeac22bb7-init/diff:/var/lib/docker/overlay2/05667eb1399d6d66f6372f897d9edebf3e073902a71e73f752844ba3438d19ac/diff:/var/lib/docker/overlay2/d5823f39e52af886171ade2255a566e7d872cdb6804d272f4551074982e92a4a/diff:/var/lib/docker/overlay2/d107b0575345e3f56c3712b862e94f943db9cfa626def1c83d8f7bdda909b26b/diff:/var/lib/docker/overlay2/c2c292d60e8cedf16e493de214b788eec7ef726f49528330954e256664059062/diff:/var/lib/docker/overlay2/7d5fb5b7ffc13480969a584f1d664e170d16f781db8368a7dc50cddc51cc287e/diff:/var/lib/docker/overlay2/59d975cfcc0618b114c574313082d1c8a08e3ad5afae9d87663f70ce971c8b6e/diff:/var/lib/docker/overlay2/f9f695ebf4b377d9f3e40b262cef08506cdca66beef9e4adcc8538290a1584c1/diff:/var/lib/docker/overlay2/9cdbb195af449cdaa984acb7607b0009b376d78fd143da291f700bd7ac358af5/diff:/var/lib/docker/overlay2/d8318b6efa7e9d55a2b4728e4e0904c9042b2b2dd69a02ad3669d10b6e5783cd/diff:/var/lib/docker/overlay2/449acd0c01f17967911b38249c4f8b9c96ffe7e0221eb0229a06f0af580529f9/diff:/var/lib/docker/overlay2/a9bc950634edfce5ae774d42834f6085a4f6adfcfd278a97f7e461388b79856e/diff:/var/lib/docker/overlay2/9068e6bd8ca13f5475ad1c126fd4952f2b369d3daf6795865431ccfb4739bcd1/diff:/var/lib/docker/overlay2/27bb5b5d3de166e8120ad20825eb8480c087edd09801b62f4d6ac6c51638969a/diff:/var/lib/docker/overlay2/2330f726c314f19d61722800572f3696e1a2e2df70994970db2b2921c05545b5/diff:/var/lib/docker/overlay2/54ee572efb2497b12025e5bae3a677a5002c08ba4204a319bf2d4530b5073eec/diff:/var/lib/docker/overlay2/582d30b95539508d5f7adbad5ac79bf4554ef641437bebe8317397bf2ad722c2/diff:/var/lib/docker/overlay2/03c130639ed4f6b742b8c7c22657391f371fff36a04215ffa68003e38edfde3c/diff:/var/lib/docker/overlay2/56ef359671bff45cab933d031c2f0d17a8d3eab31f60854356433ee53e4c903c/diff',\n 'MergedDir': '/var/lib/docker/overlay2/b824e3c97b4fafe4aa48f6d62730e19e6daa6abddbd324d59a0630eeeac22bb7/merged',\n 'UpperDir': '/var/lib/docker/overlay2/b824e3c97b4fafe4aa48f6d62730e19e6daa6abddbd324d59a0630eeeac22bb7/diff',\n 'WorkDir': '/var/lib/docker/overlay2/b824e3c97b4fafe4aa48f6d62730e19e6daa6abddbd324d59a0630eeeac22bb7/work'},\n 'Name': 'overlay2'},\n 'Mounts': [],\n 'Config': {'Hostname': '53b926531746',\n 'Domainname': '',\n 'User': '1000',\n 'AttachStdin': False,\n 'AttachStdout': False,\n 'AttachStderr': False,\n 'ExposedPorts': {'58938/tcp': {}, '8888/tcp': {}},\n 'Tty': False,\n 'OpenStdin': False,\n 'StdinOnce': False,\n 'Env': ['PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin',\n 'DEBIAN_FRONTEND=noninteractive',\n 'CONDA_DIR=/opt/conda',\n 'SHELL=/bin/bash',\n 'NB_USER=jovyan',\n 'NB_UID=1000',\n 'NB_GID=100',\n 'LC_ALL=en_US.UTF-8',\n 'LANG=en_US.UTF-8',\n 'LANGUAGE=en_US.UTF-8',\n 'HOME=/home/jovyan',\n 'MINICONDA_VERSION=4.5.1'],\n 'Cmd': ['jupyter', 'notebook', '--ip=0.0.0.0', '--port=58938'],\n 'Image': 'jupyter/base-notebook',\n 'Volumes': None,\n 'WorkingDir': '/home/jovyan',\n 'Entrypoint': ['tini', '-g', '--'],\n 'OnBuild': None,\n 'Labels': {'maintainer': 'Jupyter Project <jupyter@googlegroups.com>'}},\n 'NetworkSettings': {'Bridge': '',\n 'SandboxID': '',\n 'HairpinMode': False,\n 'LinkLocalIPv6Address': '',\n 'LinkLocalIPv6PrefixLen': 0,\n 'Ports': {},\n 'SandboxKey': '',\n 'SecondaryIPAddresses': None,\n 'SecondaryIPv6Addresses': None,\n 'EndpointID': '',\n 'Gateway': '',\n 'GlobalIPv6Address': '',\n 'GlobalIPv6PrefixLen': 0,\n 'IPAddress': '',\n 'IPPrefixLen': 0,\n 'IPv6Gateway': '',\n 'MacAddress': '',\n 'Networks': {'bridge': {'IPAMConfig': None,\n 'Links': None,\n 'Aliases': None,\n 'NetworkID': '',\n 'EndpointID': '',\n 'Gateway': '',\n 'IPAddress': '',\n 'IPPrefixLen': 0,\n 'IPv6Gateway': '',\n 'GlobalIPv6Address': '',\n 'GlobalIPv6PrefixLen': 0,\n 'MacAddress': '',\n 'DriverOpts': None}}}}" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "print(container.logs().decode('utf8'))", | |
| "execution_count": 47, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": "[I 10:50:59.099 NotebookApp] Writing notebook server cookie secret to /home/jovyan/.local/share/jupyter/runtime/notebook_cookie_secret\n[I 10:50:59.262 NotebookApp] JupyterLab beta preview extension loaded from /opt/conda/lib/python3.6/site-packages/jupyterlab\n[I 10:50:59.262 NotebookApp] JupyterLab application directory is /opt/conda/share/jupyter/lab\n[I 10:50:59.265 NotebookApp] Serving notebooks from local directory: /home/jovyan\n[I 10:50:59.265 NotebookApp] 0 active kernels\n[I 10:50:59.265 NotebookApp] The Jupyter Notebook is running at:\n[I 10:50:59.265 NotebookApp] http://53b926531746:58938/?token=72f0ac9a4bf481fce1932b2f71b884fd85f5147845be0001\n[I 10:50:59.265 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).\n[C 10:50:59.266 NotebookApp] \n \n Copy/paste this URL into your browser when you connect for the first time,\n to login with a token:\n http://53b926531746:58938/?token=72f0ac9a4bf481fce1932b2f71b884fd85f5147845be0001&token=72f0ac9a4bf481fce1932b2f71b884fd85f5147845be0001\n[I 10:51:22.954 NotebookApp] 302 GET / (172.17.0.1) 0.55ms\n[I 10:51:22.958 NotebookApp] 302 GET /tree? (172.17.0.1) 0.61ms\n[I 10:52:36.154 NotebookApp] 302 GET / (172.17.0.1) 0.65ms\n[I 10:52:36.162 NotebookApp] 302 GET /tree (172.17.0.1) 0.77ms\n[W 10:52:41.519 NotebookApp] Forbidden\n[W 10:52:41.520 NotebookApp] 403 GET /api/status (172.17.0.1) 0.96ms referer=None\n\n", | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import requests\n\nr = requests.get(\"http://localhost:%i/api\" % port)\nr.json()", | |
| "execution_count": 53, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 53, | |
| "data": { | |
| "text/plain": "{'version': '5.5.0'}" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "import requests\n\nr = requests.get(\"http://localhost:%i/api/contents/work?token=72f0ac9a4bf481fce1932b2f71b884fd85f5147845be0001\" % port)\nr.json()", | |
| "execution_count": 52, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "execution_count": 52, | |
| "data": { | |
| "text/plain": "{'name': 'work',\n 'path': 'work',\n 'last_modified': '2018-06-15T10:56:36.905869Z',\n 'created': '2018-06-15T10:56:36.905869Z',\n 'content': [{'name': 'Untitled.ipynb',\n 'path': 'work/Untitled.ipynb',\n 'last_modified': '2018-06-15T10:56:36.905869Z',\n 'created': '2018-06-15T10:56:36.905869Z',\n 'content': None,\n 'format': None,\n 'mimetype': None,\n 'size': 72,\n 'writable': True,\n 'type': 'notebook'}],\n 'format': 'json',\n 'mimetype': None,\n 'size': None,\n 'writable': True,\n 'type': 'directory'}" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "After we are done, remove the container" | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "container.remove(force=True)", | |
| "execution_count": 55, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "", | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "metadata": { | |
| "trusted": true | |
| }, | |
| "cell_type": "code", | |
| "source": "", | |
| "execution_count": null, | |
| "outputs": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "name": "python3", | |
| "display_name": "Python 3", | |
| "language": "python" | |
| }, | |
| "language_info": { | |
| "name": "python", | |
| "version": "3.6.5", | |
| "mimetype": "text/x-python", | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "pygments_lexer": "ipython3", | |
| "nbconvert_exporter": "python", | |
| "file_extension": ".py" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 2 | |
| } |
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