mirror of
https://github.com/GNS3/gns3-server.git
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When a Docker node is created on a remote compute whose Docker daemon does not have the image, the compute now raises ImageMissingError instead of blindly pulling from the Docker repository. The controller exports the image from the Docker daemon on its host (docker save stream) and streams it to the compute which loads it, so locally built or docker-loaded images work across computes. When the image is not available on the controller host either, the compute is asked to pull it from the Docker repository as a fallback. - add a POST /docker/images/load compute endpoint that streams a docker save tar into the Docker daemon - let Docker.http_query pass raw (non-dict) request bodies through so the tar can be streamed to the daemon - drop the inline pull from DockerVM.create() and the now unused DockerVM.pull_image wrapper
483 lines
20 KiB
Python
483 lines
20 KiB
Python
#
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# Copyright (C) 2015 GNS3 Technologies Inc.
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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"""
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Docker server module.
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"""
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import os
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import sys
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import json
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import asyncio
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import logging
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import aiohttp
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import shutil
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import platformdirs
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from gns3server.utils import parse_version
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from gns3server.config import Config
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from gns3server.utils.asyncio import locking
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from gns3server.compute.base_manager import BaseManager
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from gns3server.compute.docker.docker_vm import DockerVM
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from gns3server.compute.docker.vendor_docker_vm import VendorDockerVM
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from gns3server.compute.docker.iol_docker_vm import IOLDockerVM
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from gns3server.compute.docker.docker_error import DockerError, DockerHttp304Error, DockerHttp404Error, DockerHttp409Error
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log = logging.getLogger(__name__)
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# Be careful to keep it consistent
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DOCKER_MINIMUM_API_VERSION = "1.40"
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DOCKER_MINIMUM_VERSION = "19.03.8"
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DOCKER_PREFERRED_API_VERSION = "1.44"
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CHUNK_SIZE = 1024 * 8 # 8KB
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class Docker(BaseManager):
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_NODE_CLASS = DockerVM
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def __init__(self):
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super().__init__()
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self._server_url = "/var/run/docker.sock"
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self._connected = False
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# Allow locking during ubridge operations
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self.ubridge_lock = asyncio.Lock()
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self._connector = None
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self._session = None
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self._api_version = DOCKER_MINIMUM_API_VERSION
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self._host_checked = False
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def _select_node_class(self, **kwargs):
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"""
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Select the node class based on console_type and GNS3_* environment
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markers. Like console_type, the environment is fixed at node creation
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time: toggling a marker via PUT takes effect after a project reload.
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"""
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if kwargs.get("console_type") == "docker_exec":
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return VendorDockerVM
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environment = kwargs.get("environment") or ""
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for line in environment.splitlines():
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line = line.strip().rstrip(",")
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if line.startswith("GNS3_IOL_RUNNER="):
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return IOLDockerVM
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if line.startswith("GNS3_UNIX_SOCKET_NIO="):
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# Generic capability, usable without the IOL specifics.
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return VendorDockerVM
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return DockerVM
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async def create_node(self, name, project_id, node_id, *args, **kwargs):
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self._NODE_CLASS = self._select_node_class(**kwargs)
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return await super().create_node(name, project_id, node_id, *args, **kwargs)
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@staticmethod
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async def install_busybox(dst_dir):
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dst_busybox = os.path.join(dst_dir, "bin", "busybox")
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if os.path.isfile(dst_busybox):
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return
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for busybox_exec in ("busybox-static", "busybox.static", "busybox"):
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busybox_path = shutil.which(busybox_exec)
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if busybox_path:
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try:
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# check that busybox is statically linked
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# (dynamically linked busybox will fail to run in a container)
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proc = await asyncio.create_subprocess_exec(
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"ldd",
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busybox_path,
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.DEVNULL
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)
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stdout, _ = await proc.communicate()
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if proc.returncode == 1 or "static" in busybox_exec:
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# ldd returns 1 if the file is not a dynamic executable
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# on Alpine/musl, ldd returns 0 even for static binaries,
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# so also trust binaries named busybox-static or busybox.static
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log.info(f"Installing busybox from '{busybox_path}' to '{dst_busybox}'")
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shutil.copy2(busybox_path, dst_busybox, follow_symlinks=True)
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return
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else:
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log.warning(f"Busybox '{busybox_path}' is dynamically linked\n"
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f"{stdout.decode('utf-8', errors='ignore').strip()}")
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except OSError as e:
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raise DockerError(f"Could not install busybox: {e}")
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raise DockerError("No busybox executable could be found, please install busybox (apt install busybox-static on Debian/Ubuntu) and make sure it is in your PATH")
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@staticmethod
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def resources_path():
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"""
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Get the Docker resources storage directory
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"""
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resources_path = Config.instance().settings.Server.resources_path
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if not resources_path:
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appname = vendor = "GNS3"
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resources_path = platformdirs.user_data_dir(appname, vendor, roaming=True)
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else:
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resources_path = os.path.expanduser(resources_path)
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docker_resources_dir = os.path.join(resources_path, "docker")
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os.makedirs(docker_resources_dir, exist_ok=True)
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return docker_resources_dir
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async def install_resources(self):
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"""
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Copy the necessary resources to a writable location and install busybox
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"""
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try:
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dst_path = self.resources_path()
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log.info(f"Installing Docker resources in '{dst_path}'")
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from gns3server.controller import Controller
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await Controller.instance().install_resource_files(dst_path, "compute/docker/resources")
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await self.install_busybox(dst_path)
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except OSError as e:
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raise DockerError(f"Could not install Docker resources to {dst_path}: {e}")
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async def _check_connection(self):
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if not self._connected:
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try:
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self._connected = True
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docker_info = await self.query("GET", "version")
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except (aiohttp.ClientError, FileNotFoundError):
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self._connected = False
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raise DockerError("Can't connect to Docker daemon")
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api_version = parse_version(docker_info['ApiVersion'])
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version = docker_info["Version"]
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if api_version < parse_version(DOCKER_MINIMUM_API_VERSION):
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raise DockerError(f"Docker version is {version}. "
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f"GNS3 requires a minimum version of {DOCKER_MINIMUM_VERSION}"
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)
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preferred_api_version = parse_version(DOCKER_PREFERRED_API_VERSION)
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if api_version >= preferred_api_version:
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self._api_version = DOCKER_PREFERRED_API_VERSION
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else:
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# use the Min API version supported by the daemon
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self._api_version = docker_info['MinAPIVersion']
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log.warning("Using Docker client with the minimum API version {}".format(self._api_version))
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log.info("Connected to Docker daemon version {} using API version {}".format(version, self._api_version))
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self._check_host_readiness()
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def _check_host_readiness(self):
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"""
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Best-effort, read-only check of kernel settings that heavy NOS containers
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(e.g. Cisco XRd) need. The server runs unprivileged (only the setuid
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ubridge helper gets root), so we cannot raise these limits ourselves --
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we only warn, with the exact commands to fix, when they are too low or
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when FUSE support is missing. Runs at most once per process.
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"""
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if self._host_checked:
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return
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self._host_checked = True
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# Thresholds recommended for running several heavy containers (sized for
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# ~15 XRd-style nodes). Raising them is harmless; the stock Linux defaults
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# (e.g. max_user_instances=128) are far too low and break such images.
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thresholds = {
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"fs.inotify.max_user_instances": 64000,
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"fs.inotify.max_user_watches": 524288,
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"fs.file-max": 1000000,
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}
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low = []
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for key, minimum in thresholds.items():
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try:
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with open(f"/proc/sys/{key.replace('.', '/')}") as f:
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current = int(f.read().strip())
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except (OSError, ValueError):
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# One unreadable key must not discard the warnings already
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# collected nor skip the FUSE check — skip just this key.
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continue
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if current < minimum:
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low.append((key, current, minimum))
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fuse_supported = False
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try:
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with open("/proc/filesystems") as f:
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filesystems = {parts[-1] for parts in (line.split() for line in f) if parts}
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fuse_supported = "fuse" in filesystems or "fuseblk" in filesystems
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except OSError:
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pass
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if low:
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details = ", ".join(f"{k}={c} (need >={m})" for k, c, m in low)
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raise_cmd = " ".join(f"{k}={m}" for k, _, m in low)
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log.warning(
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f"Low kernel limits for heavy Docker containers ({details}). "
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f"Some NOS images (e.g. Cisco XRd) may fail to start. Raise once: "
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f"'sudo sysctl -w {raise_cmd}' and persist it under /etc/sysctl.d/."
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)
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if not fuse_supported:
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log.warning(
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"FUSE filesystem support is not available in the kernel. "
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"Containers that need it (e.g. Cisco XRd) will fail. Load it: 'sudo modprobe fuse'."
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)
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def connector(self):
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if self._connector is None or self._connector.closed:
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if not sys.platform.startswith("linux"):
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raise DockerError("Docker is supported only on Linux")
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try:
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self._connector = aiohttp.connector.UnixConnector(self._server_url, limit=None)
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except (aiohttp.ClientError, FileNotFoundError):
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raise DockerError("Can't connect to docker daemon")
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return self._connector
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async def unload(self):
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await super().unload()
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if self._connected:
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if self._connector and not self._connector.closed:
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await self._connector.close()
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if self._session and not self._session.closed:
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await self._session.close()
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async def query(self, method, path, data={}, params={}):
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"""
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Makes a query to the Docker daemon and decode the request
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:param method: HTTP method
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:param path: Endpoint in API
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:param data: Dictionary with the body. Will be transformed to a JSON
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:param params: Parameters added as a query arg
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"""
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response = await self.http_query(method, path, data=data, params=params)
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body = await response.read()
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response.close()
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if response.headers.get('CONTENT-TYPE') == 'application/json':
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body = json.loads(body.decode("utf-8", errors="ignore"))
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else:
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body = body.decode("utf-8", errors="ignore")
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log.debug("Query Docker %s %s params=%s data=%s Response: %s", method, path, params, data, body)
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return body
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async def http_query(self, method, path, data={}, params={}, timeout=300):
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"""
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Makes a query to the docker daemon
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:param method: HTTP method
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:param path: Endpoint in API
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:param data: Dictionary with the body. Will be transformed to a JSON
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:param params: Parameters added as a query arg
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:param timeout: Timeout
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:returns: HTTP response
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"""
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if isinstance(data, dict):
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data = json.dumps(data)
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headers = {"content-type": "application/json"}
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else:
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# not a dict (e.g. a Docker image tar stream): let aiohttp stream the raw body
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headers = {"content-type": "application/x-tar"}
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if timeout is None:
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timeout = 60 * 60 * 24 * 31 # One month timeout
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if path == 'version':
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url = "http://docker/" + path
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else:
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await self._check_connection() # version is use by check connection
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url = "http://docker/v" + self._api_version + "/" + path
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try:
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if self._session is None or self._session.closed:
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connector = self.connector()
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self._session = aiohttp.ClientSession(connector=connector)
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response = await self._session.request(
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method,
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url,
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params=params,
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data=data,
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headers=headers,
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timeout=timeout,
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)
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except aiohttp.ClientError as e:
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raise DockerError(f"Docker has returned an error: {e}")
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except asyncio.TimeoutError:
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raise DockerError("Docker timeout " + method + " " + path)
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if response.status >= 300:
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body = await response.read()
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try:
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body = json.loads(body.decode("utf-8"))["message"]
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except ValueError:
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pass
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log.debug(f"Query Docker {method} {path} params={params} data={data} Response: {body}")
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if response.status == 304:
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raise DockerHttp304Error(f"Docker has returned an error: {response.status} {body}")
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elif response.status == 404:
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raise DockerHttp404Error(f"Docker has returned an error: {response.status} {body}")
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elif response.status == 409:
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raise DockerHttp409Error(f"Docker has returned an error: {response.status} {body}")
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else:
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raise DockerError(f"Docker has returned an error: {response.status} {body}")
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return response
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async def websocket_query(self, path, params={}):
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"""
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Opens a websocket connection
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:param path: Endpoint in API
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:param params: Parameters added as a query arg
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:returns: Websocket
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"""
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url = "http://docker/v" + self._api_version + "/" + path
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connection = await self._session.ws_connect(url, origin="http://docker", autoping=True)
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return connection
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@locking
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async def pull_image(self, image, progress_callback=None, force=False):
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"""
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Pulls an image from the Docker repository
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:params image: Image name
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:params progress_callback: A function that receive a log message about image download progress
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:params force: Pull the image even if it is already available locally
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"""
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if not force:
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try:
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await self.query("GET", f"images/{image}/json")
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return # We already have the image skip the download
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except DockerHttp404Error:
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pass
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if progress_callback:
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progress_callback(f"Pulling '{image}' from Docker repository")
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try:
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response = await self.http_query("POST", "images/create", params={"fromImage": image}, timeout=None)
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except DockerError as e:
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raise DockerError(
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f"Could not pull the '{image}' image from Docker repository, "
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f"please check your Internet connection (original error: {e})"
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)
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# The pull api will stream status via an HTTP JSON stream
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content = ""
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try:
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while True:
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try:
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chunk = await response.content.read(CHUNK_SIZE)
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except aiohttp.ServerDisconnectedError as e:
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raise DockerError(
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f"Disconnected while pulling Docker image '{image}' from Docker repository"
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) from e
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except asyncio.TimeoutError as e:
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raise DockerError(
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f"Timeout while pulling Docker image '{image}' from Docker repository"
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) from e
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if not chunk:
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break
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content += chunk.decode("utf-8")
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try:
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while True:
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content = content.lstrip(" \r\n\t")
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answer, index = json.JSONDecoder().raw_decode(content)
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if not isinstance(answer, dict):
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raise DockerError(f"Invalid response while pulling Docker image '{image}'")
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error_detail = answer.get("errorDetail")
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error = answer.get("error")
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if not error and isinstance(error_detail, dict):
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error = error_detail.get("message")
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if error:
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raise DockerError(error)
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if "progress" in answer and progress_callback:
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progress_callback("Pulling image {}:{}: {}".format(image, answer["id"], answer["progress"]))
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content = content[index:]
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except ValueError: # Partial JSON
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pass
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if content.strip():
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raise DockerError(f"Invalid response while pulling Docker image '{image}'")
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finally:
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response.close()
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if progress_callback:
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progress_callback(f"Success pulling image {image}")
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@locking
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async def load_image(self, stream, progress_callback=None):
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"""
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Load a Docker image into the Docker daemon from a docker save tar stream
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:param stream: An async iterable of bytes (the tar produced by docker save)
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:param progress_callback: A function that receive a log message about image load progress
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"""
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if progress_callback:
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progress_callback("Loading Docker image from stream")
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response = await self.http_query("POST", "images/load", data=stream, timeout=None)
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# The load api will stream status via an HTTP JSON stream
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content = ""
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try:
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while True:
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try:
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chunk = await response.content.read(CHUNK_SIZE)
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except aiohttp.ServerDisconnectedError as e:
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raise DockerError("Disconnected while loading Docker image") from e
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except asyncio.TimeoutError as e:
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raise DockerError("Timeout while loading Docker image") from e
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if not chunk:
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break
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content += chunk.decode("utf-8", errors="ignore")
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try:
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while True:
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content = content.lstrip(" \r\n\t")
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answer, index = json.JSONDecoder().raw_decode(content)
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if not isinstance(answer, dict):
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raise DockerError("Invalid response while loading Docker image")
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error_detail = answer.get("errorDetail")
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error = answer.get("error")
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if not error and isinstance(error_detail, dict):
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error = error_detail.get("message")
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if error:
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raise DockerError(error)
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if "stream" in answer and progress_callback:
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progress_callback(answer["stream"].rstrip())
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content = content[index:]
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except ValueError: # Partial JSON
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pass
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if content.strip():
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raise DockerError("Invalid response while loading Docker image")
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finally:
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response.close()
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if progress_callback:
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progress_callback("Docker image loaded")
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async def list_images(self):
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"""
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Gets Docker image list.
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:returns: list of dicts
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:rtype: list
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"""
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images = []
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for image in await self.query("GET", "images/json", params={"all": 0}):
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if image["RepoTags"]:
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for tag in image["RepoTags"]:
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if tag != "<none>:<none>":
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images.append({"image": tag})
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return sorted(images, key=lambda i: i["image"])
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