510 lines
21 KiB
Python
510 lines
21 KiB
Python
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"""A MultiKernelManager for use in the notebook webserver
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- raises HTTPErrors
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- creates REST API models
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"""
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# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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from collections import defaultdict
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from datetime import datetime, timedelta
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from functools import partial
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import os
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from tornado import web
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from tornado.concurrent import Future
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from tornado.ioloop import IOLoop, PeriodicCallback
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from jupyter_client.session import Session
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from jupyter_client.multikernelmanager import MultiKernelManager
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from traitlets import (Any, Bool, Dict, List, Unicode, TraitError, Integer,
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Float, Instance, default, validate
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)
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from notebook.utils import maybe_future, to_os_path, exists
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from notebook._tz import utcnow, isoformat
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from ipython_genutils.py3compat import getcwd
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from notebook.prometheus.metrics import KERNEL_CURRENTLY_RUNNING_TOTAL
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# Since use of AsyncMultiKernelManager is optional at the moment, don't require appropriate jupyter_client.
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# This will be confirmed at runtime in notebookapp. The following block can be removed once the jupyter_client's
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# floor has been updated.
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try:
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from jupyter_client.multikernelmanager import AsyncMultiKernelManager
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except ImportError:
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class AsyncMultiKernelManager(object):
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"""Empty class to satisfy unused reference by AsyncMappingKernelManager."""
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def __init__(self, **kwargs):
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pass
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class MappingKernelManager(MultiKernelManager):
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"""A KernelManager that handles notebook mapping and HTTP error handling"""
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@default('kernel_manager_class')
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def _default_kernel_manager_class(self):
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return "jupyter_client.ioloop.IOLoopKernelManager"
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kernel_argv = List(Unicode())
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root_dir = Unicode(config=True)
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_kernel_connections = Dict()
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_culler_callback = None
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_initialized_culler = False
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@default('root_dir')
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def _default_root_dir(self):
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try:
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return self.parent.notebook_dir
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except AttributeError:
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return getcwd()
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@validate('root_dir')
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def _update_root_dir(self, proposal):
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"""Do a bit of validation of the root dir."""
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value = proposal['value']
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if not os.path.isabs(value):
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# If we receive a non-absolute path, make it absolute.
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value = os.path.abspath(value)
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if not exists(value) or not os.path.isdir(value):
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raise TraitError("kernel root dir %r is not a directory" % value)
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return value
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cull_idle_timeout = Integer(0, config=True,
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help="""Timeout (in seconds) after which a kernel is considered idle and ready to be culled.
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Values of 0 or lower disable culling. Very short timeouts may result in kernels being culled
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for users with poor network connections."""
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)
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cull_interval_default = 300 # 5 minutes
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cull_interval = Integer(cull_interval_default, config=True,
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help="""The interval (in seconds) on which to check for idle kernels exceeding the cull timeout value."""
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)
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cull_connected = Bool(False, config=True,
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help="""Whether to consider culling kernels which have one or more connections.
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Only effective if cull_idle_timeout > 0."""
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)
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cull_busy = Bool(False, config=True,
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help="""Whether to consider culling kernels which are busy.
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Only effective if cull_idle_timeout > 0."""
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)
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buffer_offline_messages = Bool(True, config=True,
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help="""Whether messages from kernels whose frontends have disconnected should be buffered in-memory.
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When True (default), messages are buffered and replayed on reconnect,
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avoiding lost messages due to interrupted connectivity.
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Disable if long-running kernels will produce too much output while
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no frontends are connected.
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"""
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)
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kernel_info_timeout = Float(60, config=True,
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help="""Timeout for giving up on a kernel (in seconds).
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On starting and restarting kernels, we check whether the
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kernel is running and responsive by sending kernel_info_requests.
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This sets the timeout in seconds for how long the kernel can take
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before being presumed dead.
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This affects the MappingKernelManager (which handles kernel restarts)
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and the ZMQChannelsHandler (which handles the startup).
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"""
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)
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_kernel_buffers = Any()
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@default('_kernel_buffers')
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def _default_kernel_buffers(self):
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return defaultdict(lambda: {'buffer': [], 'session_key': '', 'channels': {}})
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last_kernel_activity = Instance(datetime,
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help="The last activity on any kernel, including shutting down a kernel")
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allowed_message_types = List(trait=Unicode(), config=True,
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help="""White list of allowed kernel message types.
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When the list is empty, all message types are allowed.
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"""
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)
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#-------------------------------------------------------------------------
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# Methods for managing kernels and sessions
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#-------------------------------------------------------------------------
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def __init__(self, **kwargs):
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# Pin the superclass to better control the MRO. This is needed by
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# AsyncMappingKernelManager so that it can give priority to methods
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# on AsyncMultiKernelManager over this superclass.
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self.pinned_superclass = MultiKernelManager
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self.pinned_superclass.__init__(self, **kwargs)
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self.last_kernel_activity = utcnow()
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def _handle_kernel_died(self, kernel_id):
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"""notice that a kernel died"""
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self.log.warning("Kernel %s died, removing from map.", kernel_id)
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self.remove_kernel(kernel_id)
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def cwd_for_path(self, path):
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"""Turn API path into absolute OS path."""
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os_path = to_os_path(path, self.root_dir)
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# in the case of notebooks and kernels not being on the same filesystem,
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# walk up to root_dir if the paths don't exist
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while not os.path.isdir(os_path) and os_path != self.root_dir:
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os_path = os.path.dirname(os_path)
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return os_path
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async def start_kernel(self, kernel_id=None, path=None, **kwargs):
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"""Start a kernel for a session and return its kernel_id.
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Parameters
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----------
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kernel_id : uuid
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The uuid to associate the new kernel with. If this
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is not None, this kernel will be persistent whenever it is
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requested.
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path : API path
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The API path (unicode, '/' delimited) for the cwd.
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Will be transformed to an OS path relative to root_dir.
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kernel_name : str
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The name identifying which kernel spec to launch. This is ignored if
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an existing kernel is returned, but it may be checked in the future.
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"""
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if kernel_id is None:
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if path is not None:
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kwargs['cwd'] = self.cwd_for_path(path)
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kernel_id = await maybe_future(self.pinned_superclass.start_kernel(self, **kwargs))
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self._kernel_connections[kernel_id] = 0
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self.start_watching_activity(kernel_id)
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self.log.info("Kernel started: %s, name: %s" % (kernel_id, self._kernels[kernel_id].kernel_name))
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self.log.debug("Kernel args: %r" % kwargs)
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# register callback for failed auto-restart
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self.add_restart_callback(kernel_id,
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lambda : self._handle_kernel_died(kernel_id),
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'dead',
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)
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# Increase the metric of number of kernels running
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# for the relevant kernel type by 1
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KERNEL_CURRENTLY_RUNNING_TOTAL.labels(
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type=self._kernels[kernel_id].kernel_name
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).inc()
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else:
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self._check_kernel_id(kernel_id)
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self.log.info("Using existing kernel: %s" % kernel_id)
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# Initialize culling if not already
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if not self._initialized_culler:
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self.initialize_culler()
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return kernel_id
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def start_buffering(self, kernel_id, session_key, channels):
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"""Start buffering messages for a kernel
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Parameters
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----------
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kernel_id : str
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The id of the kernel to start buffering.
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session_key: str
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The session_key, if any, that should get the buffer.
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If the session_key matches the current buffered session_key,
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the buffer will be returned.
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channels: dict({'channel': ZMQStream})
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The zmq channels whose messages should be buffered.
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"""
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if not self.buffer_offline_messages:
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for channel, stream in channels.items():
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stream.close()
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return
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self.log.info("Starting buffering for %s", session_key)
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self._check_kernel_id(kernel_id)
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# clear previous buffering state
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self.stop_buffering(kernel_id)
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buffer_info = self._kernel_buffers[kernel_id]
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# record the session key because only one session can buffer
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buffer_info['session_key'] = session_key
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# TODO: the buffer should likely be a memory bounded queue, we're starting with a list to keep it simple
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buffer_info['buffer'] = []
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buffer_info['channels'] = channels
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# forward any future messages to the internal buffer
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def buffer_msg(channel, msg_parts):
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self.log.debug("Buffering msg on %s:%s", kernel_id, channel)
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buffer_info['buffer'].append((channel, msg_parts))
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for channel, stream in channels.items():
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stream.on_recv(partial(buffer_msg, channel))
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def get_buffer(self, kernel_id, session_key):
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"""Get the buffer for a given kernel
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Parameters
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----------
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kernel_id : str
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The id of the kernel to stop buffering.
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session_key: str, optional
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The session_key, if any, that should get the buffer.
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If the session_key matches the current buffered session_key,
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the buffer will be returned.
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"""
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self.log.debug("Getting buffer for %s", kernel_id)
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if kernel_id not in self._kernel_buffers:
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return
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buffer_info = self._kernel_buffers[kernel_id]
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if buffer_info['session_key'] == session_key:
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# remove buffer
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self._kernel_buffers.pop(kernel_id)
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# only return buffer_info if it's a match
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return buffer_info
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else:
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self.stop_buffering(kernel_id)
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def stop_buffering(self, kernel_id):
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"""Stop buffering kernel messages
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Parameters
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----------
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kernel_id : str
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The id of the kernel to stop buffering.
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"""
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self.log.debug("Clearing buffer for %s", kernel_id)
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self._check_kernel_id(kernel_id)
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if kernel_id not in self._kernel_buffers:
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return
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buffer_info = self._kernel_buffers.pop(kernel_id)
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# close buffering streams
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for stream in buffer_info['channels'].values():
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if not stream.closed():
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stream.on_recv(None)
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stream.close()
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msg_buffer = buffer_info['buffer']
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if msg_buffer:
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self.log.info("Discarding %s buffered messages for %s",
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len(msg_buffer), buffer_info['session_key'])
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def shutdown_kernel(self, kernel_id, now=False, restart=False):
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"""Shutdown a kernel by kernel_id"""
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self._check_kernel_id(kernel_id)
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kernel = self._kernels[kernel_id]
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if kernel._activity_stream:
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kernel._activity_stream.close()
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kernel._activity_stream = None
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self.stop_buffering(kernel_id)
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self._kernel_connections.pop(kernel_id, None)
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# Decrease the metric of number of kernels
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# running for the relevant kernel type by 1
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KERNEL_CURRENTLY_RUNNING_TOTAL.labels(
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type=self._kernels[kernel_id].kernel_name
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).dec()
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return self.pinned_superclass.shutdown_kernel(self, kernel_id, now=now, restart=restart)
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async def restart_kernel(self, kernel_id, now=False):
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"""Restart a kernel by kernel_id"""
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self._check_kernel_id(kernel_id)
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await maybe_future(self.pinned_superclass.restart_kernel(self, kernel_id, now=now))
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kernel = self.get_kernel(kernel_id)
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# return a Future that will resolve when the kernel has successfully restarted
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channel = kernel.connect_shell()
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future = Future()
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def finish():
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"""Common cleanup when restart finishes/fails for any reason."""
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if not channel.closed():
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channel.close()
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loop.remove_timeout(timeout)
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kernel.remove_restart_callback(on_restart_failed, 'dead')
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def on_reply(msg):
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self.log.debug("Kernel info reply received: %s", kernel_id)
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finish()
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if not future.done():
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future.set_result(msg)
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def on_timeout():
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self.log.warning("Timeout waiting for kernel_info_reply: %s", kernel_id)
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finish()
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if not future.done():
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future.set_exception(TimeoutError("Timeout waiting for restart"))
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def on_restart_failed():
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self.log.warning("Restarting kernel failed: %s", kernel_id)
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finish()
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if not future.done():
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future.set_exception(RuntimeError("Restart failed"))
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kernel.add_restart_callback(on_restart_failed, 'dead')
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kernel.session.send(channel, "kernel_info_request")
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channel.on_recv(on_reply)
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loop = IOLoop.current()
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timeout = loop.add_timeout(loop.time() + self.kernel_info_timeout, on_timeout)
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return future
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def notify_connect(self, kernel_id):
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"""Notice a new connection to a kernel"""
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if kernel_id in self._kernel_connections:
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self._kernel_connections[kernel_id] += 1
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def notify_disconnect(self, kernel_id):
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"""Notice a disconnection from a kernel"""
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if kernel_id in self._kernel_connections:
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self._kernel_connections[kernel_id] -= 1
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def kernel_model(self, kernel_id):
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"""Return a JSON-safe dict representing a kernel
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For use in representing kernels in the JSON APIs.
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"""
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self._check_kernel_id(kernel_id)
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kernel = self._kernels[kernel_id]
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model = {
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"id": kernel_id,
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"name": kernel.kernel_name,
|
||
|
|
"last_activity": isoformat(kernel.last_activity),
|
||
|
|
"execution_state": kernel.execution_state,
|
||
|
|
"connections": self._kernel_connections[kernel_id],
|
||
|
|
}
|
||
|
|
return model
|
||
|
|
|
||
|
|
def list_kernels(self):
|
||
|
|
"""Returns a list of kernel_id's of kernels running."""
|
||
|
|
kernels = []
|
||
|
|
kernel_ids = self.pinned_superclass.list_kernel_ids(self)
|
||
|
|
for kernel_id in kernel_ids:
|
||
|
|
model = self.kernel_model(kernel_id)
|
||
|
|
kernels.append(model)
|
||
|
|
return kernels
|
||
|
|
|
||
|
|
# override _check_kernel_id to raise 404 instead of KeyError
|
||
|
|
def _check_kernel_id(self, kernel_id):
|
||
|
|
"""Check a that a kernel_id exists and raise 404 if not."""
|
||
|
|
if kernel_id not in self:
|
||
|
|
raise web.HTTPError(404, u'Kernel does not exist: %s' % kernel_id)
|
||
|
|
|
||
|
|
# monitoring activity:
|
||
|
|
|
||
|
|
def start_watching_activity(self, kernel_id):
|
||
|
|
"""Start watching IOPub messages on a kernel for activity.
|
||
|
|
- update last_activity on every message
|
||
|
|
- record execution_state from status messages
|
||
|
|
"""
|
||
|
|
kernel = self._kernels[kernel_id]
|
||
|
|
# add busy/activity markers:
|
||
|
|
kernel.execution_state = 'starting'
|
||
|
|
kernel.last_activity = utcnow()
|
||
|
|
kernel._activity_stream = kernel.connect_iopub()
|
||
|
|
session = Session(
|
||
|
|
config=kernel.session.config,
|
||
|
|
key=kernel.session.key,
|
||
|
|
)
|
||
|
|
|
||
|
|
def record_activity(msg_list):
|
||
|
|
"""Record an IOPub message arriving from a kernel"""
|
||
|
|
self.last_kernel_activity = kernel.last_activity = utcnow()
|
||
|
|
|
||
|
|
idents, fed_msg_list = session.feed_identities(msg_list)
|
||
|
|
msg = session.deserialize(fed_msg_list)
|
||
|
|
|
||
|
|
msg_type = msg['header']['msg_type']
|
||
|
|
if msg_type == 'status':
|
||
|
|
kernel.execution_state = msg['content']['execution_state']
|
||
|
|
self.log.debug("activity on %s: %s (%s)", kernel_id, msg_type, kernel.execution_state)
|
||
|
|
else:
|
||
|
|
self.log.debug("activity on %s: %s", kernel_id, msg_type)
|
||
|
|
|
||
|
|
kernel._activity_stream.on_recv(record_activity)
|
||
|
|
|
||
|
|
def initialize_culler(self):
|
||
|
|
"""Start idle culler if 'cull_idle_timeout' is greater than zero.
|
||
|
|
Regardless of that value, set flag that we've been here.
|
||
|
|
"""
|
||
|
|
if not self._initialized_culler and self.cull_idle_timeout > 0:
|
||
|
|
if self._culler_callback is None:
|
||
|
|
loop = IOLoop.current()
|
||
|
|
if self.cull_interval <= 0: # handle case where user set invalid value
|
||
|
|
self.log.warning("Invalid value for 'cull_interval' detected (%s) - using default value (%s).",
|
||
|
|
self.cull_interval, self.cull_interval_default)
|
||
|
|
self.cull_interval = self.cull_interval_default
|
||
|
|
self._culler_callback = PeriodicCallback(
|
||
|
|
self.cull_kernels, 1000*self.cull_interval)
|
||
|
|
self.log.info("Culling kernels with idle durations > %s seconds at %s second intervals ...",
|
||
|
|
self.cull_idle_timeout, self.cull_interval)
|
||
|
|
if self.cull_busy:
|
||
|
|
self.log.info("Culling kernels even if busy")
|
||
|
|
if self.cull_connected:
|
||
|
|
self.log.info("Culling kernels even with connected clients")
|
||
|
|
self._culler_callback.start()
|
||
|
|
|
||
|
|
self._initialized_culler = True
|
||
|
|
|
||
|
|
async def cull_kernels(self):
|
||
|
|
self.log.debug("Polling every %s seconds for kernels idle > %s seconds...",
|
||
|
|
self.cull_interval, self.cull_idle_timeout)
|
||
|
|
"""Create a separate list of kernels to avoid conflicting updates while iterating"""
|
||
|
|
for kernel_id in list(self._kernels):
|
||
|
|
try:
|
||
|
|
await self.cull_kernel_if_idle(kernel_id)
|
||
|
|
except Exception as e:
|
||
|
|
self.log.exception("The following exception was encountered while checking the "
|
||
|
|
"idle duration of kernel {}: {}".format(kernel_id, e))
|
||
|
|
|
||
|
|
async def cull_kernel_if_idle(self, kernel_id):
|
||
|
|
try:
|
||
|
|
kernel = self._kernels[kernel_id]
|
||
|
|
except KeyError:
|
||
|
|
return # KeyErrors are somewhat expected since the kernel can be shutdown as the culling check is made.
|
||
|
|
|
||
|
|
if hasattr(kernel, 'last_activity'): # last_activity is monkey-patched, so ensure that has occurred
|
||
|
|
self.log.debug("kernel_id=%s, kernel_name=%s, last_activity=%s",
|
||
|
|
kernel_id, kernel.kernel_name, kernel.last_activity)
|
||
|
|
dt_now = utcnow()
|
||
|
|
dt_idle = dt_now - kernel.last_activity
|
||
|
|
# Compute idle properties
|
||
|
|
is_idle_time = dt_idle > timedelta(seconds=self.cull_idle_timeout)
|
||
|
|
is_idle_execute = self.cull_busy or (kernel.execution_state != 'busy')
|
||
|
|
connections = self._kernel_connections.get(kernel_id, 0)
|
||
|
|
is_idle_connected = self.cull_connected or not connections
|
||
|
|
# Cull the kernel if all three criteria are met
|
||
|
|
if (is_idle_time and is_idle_execute and is_idle_connected):
|
||
|
|
idle_duration = int(dt_idle.total_seconds())
|
||
|
|
self.log.warning("Culling '%s' kernel '%s' (%s) with %d connections due to %s seconds of inactivity.",
|
||
|
|
kernel.execution_state, kernel.kernel_name, kernel_id, connections, idle_duration)
|
||
|
|
await maybe_future(self.shutdown_kernel(kernel_id))
|
||
|
|
|
||
|
|
|
||
|
|
# AsyncMappingKernelManager inherits as much as possible from MappingKernelManager, overriding
|
||
|
|
# only what is different.
|
||
|
|
class AsyncMappingKernelManager(MappingKernelManager, AsyncMultiKernelManager):
|
||
|
|
@default('kernel_manager_class')
|
||
|
|
def _default_kernel_manager_class(self):
|
||
|
|
return "jupyter_client.ioloop.AsyncIOLoopKernelManager"
|
||
|
|
|
||
|
|
def __init__(self, **kwargs):
|
||
|
|
# Pin the superclass to better control the MRO.
|
||
|
|
self.pinned_superclass = AsyncMultiKernelManager
|
||
|
|
self.pinned_superclass.__init__(self, **kwargs)
|
||
|
|
self.last_kernel_activity = utcnow()
|
||
|
|
|
||
|
|
async def shutdown_kernel(self, kernel_id, now=False, restart=False):
|
||
|
|
"""Shutdown a kernel by kernel_id"""
|
||
|
|
self._check_kernel_id(kernel_id)
|
||
|
|
kernel = self._kernels[kernel_id]
|
||
|
|
if kernel._activity_stream:
|
||
|
|
kernel._activity_stream.close()
|
||
|
|
kernel._activity_stream = None
|
||
|
|
self.stop_buffering(kernel_id)
|
||
|
|
self._kernel_connections.pop(kernel_id, None)
|
||
|
|
|
||
|
|
# Decrease the metric of number of kernels
|
||
|
|
# running for the relevant kernel type by 1
|
||
|
|
KERNEL_CURRENTLY_RUNNING_TOTAL.labels(
|
||
|
|
type=self._kernels[kernel_id].kernel_name
|
||
|
|
).dec()
|
||
|
|
|
||
|
|
return await self.pinned_superclass.shutdown_kernel(self, kernel_id, now=now, restart=restart)
|