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#
# Copyright (C) 2016 Codethink Limited
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library. If not, see <http://www.gnu.org/licenses/>.
#
# Authors:
# Tristan Van Berkom <tristan.vanberkom@codethink.co.uk>
# Jürg Billeter <juerg.billeter@codethink.co.uk>
# System imports
import os
import sys
import signal
import datetime
import traceback
import asyncio
import multiprocessing
from ruamel import yaml
# BuildStream toplevel imports
from .._exceptions import BstError, set_last_task_error
from .._message import Message, MessageType, unconditional_messages
from ..plugin import _plugin_lookup
from .. import _signals, utils
# Used to distinguish between status messages and return values
class Envelope():
def __init__(self, message_type, message):
self.message_type = message_type
self.message = message
# Process class that doesn't call waitpid on its own.
# This prevents conflicts with the asyncio child watcher.
class Process(multiprocessing.Process):
# pylint: disable=attribute-defined-outside-init
def start(self):
self._popen = self._Popen(self)
self._sentinel = self._popen.sentinel
# Job()
#
# The Job object represents a parallel task, when calling Job.spawn(),
# the given `action_cb` will be called in parallel to the calling process,
# and `complete_cb` will be called with the action result in the calling
# process when the job completes.
#
# Args:
# scheduler (Scheduler): The scheduler
# element (Element): The element to operate on
# action_name (str): The queue action name
# action_cb (callable): The action function
# complete_cb (callable): The function to call when complete
# max_retries (int): The maximum number of retries
#
# Here is the calling signature of the action_cb:
#
# action_cb():
#
# This function will be called in the child task
#
# Args:
# element (Element): The element passed to the Job() constructor
#
# Returns:
# (object): Any abstract simple python object, including a string, int,
# bool, list or dict, this must be a simple serializable object.
#
# Here is the calling signature of the complete_cb:
#
# complete_cb():
#
# This function will be called when the child task completes
#
# Args:
# job (Job): The job object which completed
# element (Element): The element passed to the Job() constructor
# success (bool): True if the action_cb did not raise an exception
# result (object): The deserialized object returned by the `action_cb`, or None
# if `success` is False
#
class Job():
def __init__(self, scheduler, element, action_name, action_cb, complete_cb, *, max_retries=0):
#
# Public members
#
self.element = element # The element we're processing
self.action_name = action_name # The action name for the Queue
self.workspace_dict = None # A serialized Workspace object, after any modifications
#
# Private members
#
self._scheduler = scheduler # The scheduler
self._queue = multiprocessing.Queue() # A message passing queue
self._process = None # The Process object
self._watcher = None # Child process watcher
self._action_cb = action_cb # The action callable function
self._complete_cb = complete_cb # The complete callable function
self._listening = False # Whether the parent is currently listening
self._suspended = False # Whether this job is currently suspended
self._max_retries = max_retries # Maximum number of automatic retries
self._result = None # Return value of child action in the parent
self._tries = 0 # Try count, for retryable jobs
# spawn()
#
# Spawns the job.
#
def spawn(self):
self._tries += 1
self._parent_start_listening()
# Spawn the process
self._process = Process(target=self._child_action, args=[self._queue])
# Block signals which are handled in the main process such that
# the child process does not inherit the parent's state, but the main
# process will be notified of any signal after we launch the child.
#
with _signals.blocked([signal.SIGINT, signal.SIGTSTP, signal.SIGTERM], ignore=False):
self._process.start()
# Wait for it to complete
self._watcher = asyncio.get_child_watcher()
self._watcher.add_child_handler(self._process.pid, self._parent_child_completed)
# terminate()
#
# Politely request that an ongoing job terminate soon.
#
# This will send a SIGTERM signal to the Job process.
#
def terminate(self):
# First resume the job if it's suspended
self.resume(silent=True)
self._message(self.element, MessageType.STATUS,
"{} terminating".format(self.action_name))
# Make sure there is no garbage on the queue
self._parent_stop_listening()
# Terminate the process using multiprocessing API pathway
self._process.terminate()
# terminate_wait()
#
# Wait for terminated jobs to complete
#
# Args:
# timeout (float): Seconds to wait
#
# Returns:
# (bool): True if the process terminated cleanly, otherwise False
#
def terminate_wait(self, timeout):
# Join the child process after sending SIGTERM
self._process.join(timeout)
return self._process.exitcode is not None
# kill()
#
# Forcefully kill the process, and any children it might have.
#
def kill(self):
# Force kill
self._message(self.element, MessageType.WARN,
"{} did not terminate gracefully, killing".format(self.action_name))
utils._kill_process_tree(self._process.pid)
# suspend()
#
# Suspend this job.
#
def suspend(self):
if not self._suspended:
self._message(self.element, MessageType.STATUS,
"{} suspending".format(self.action_name))
try:
# Use SIGTSTP so that child processes may handle and propagate
# it to processes they spawn that become session leaders
os.kill(self._process.pid, signal.SIGTSTP)
# For some reason we receive exactly one suspend event for every
# SIGTSTP we send to the child fork(), even though the child forks
# are setsid(). We keep a count of these so we can ignore them
# in our event loop suspend_event()
self._scheduler.internal_stops += 1
self._suspended = True
except ProcessLookupError:
# ignore, process has already exited
pass
# resume()
#
# Resume this suspended job.
#
def resume(self, silent=False):
if self._suspended:
if not silent:
self._message(self.element, MessageType.STATUS,
"{} resuming".format(self.action_name))
os.kill(self._process.pid, signal.SIGCONT)
self._suspended = False
#######################################################
# Local Private Methods #
#######################################################
#
# Methods prefixed with the word 'child' take place in the child process
#
# Methods prefixed with the word 'parent' take place in the parent process
#
# Other methods can be called in both child or parent processes
#
#######################################################
# _message():
#
# Sends a message to the frontend
#
# Args:
# plugin (Plugin): The plugin to send a message for
# message_type (MessageType): The type of message to send
# message (str): The message
# kwargs: Remaining Message() constructor arguments
#
def _message(self, plugin, message_type, message, **kwargs):
args = dict(kwargs)
args['scheduler'] = True
self._scheduler.context.message(
Message(plugin._get_unique_id(),
message_type,
message,
**args))
# _child_action()
#
# Perform the action in the child process, this calls the action_cb.
#
# Args:
# queue (multiprocessing.Queue): The message queue for IPC
#
def _child_action(self, queue):
element = self.element
# This avoids some SIGTSTP signals from grandchildren
# getting propagated up to the master process
os.setsid()
# First set back to the default signal handlers for the signals
# we handle, and then clear their blocked state.
#
signal_list = [signal.SIGTSTP, signal.SIGTERM]
for sig in signal_list:
signal.signal(sig, signal.SIG_DFL)
signal.pthread_sigmask(signal.SIG_UNBLOCK, signal_list)
# Assign the queue we passed across the process boundaries
#
# Set the global message handler in this child
# process to forward messages to the parent process
self._queue = queue
self._scheduler.context.set_message_handler(self._child_message_handler)
starttime = datetime.datetime.now()
stopped_time = None
def stop_time():
nonlocal stopped_time
stopped_time = datetime.datetime.now()
def resume_time():
nonlocal stopped_time
nonlocal starttime
starttime += (datetime.datetime.now() - stopped_time)
# Time, log and and run the action function
#
with _signals.suspendable(stop_time, resume_time), \
element._logging_enabled(self.action_name) as filename:
self._message(element, MessageType.START, self.action_name, logfile=filename)
# Print the element's environment at the beginning of any element's log file.
#
# This should probably be omitted for non-build tasks but it's harmless here
elt_env = element.get_environment()
env_dump = yaml.round_trip_dump(elt_env, default_flow_style=False, allow_unicode=True)
self._message(element, MessageType.LOG,
"Build environment for element {}".format(element.name),
detail=env_dump, logfile=filename)
try:
# Try the task action
result = self._action_cb(element)
except BstError as e:
elapsed = datetime.datetime.now() - starttime
if self._tries <= self._max_retries:
self._message(element, MessageType.FAIL, "Try #{} failed, retrying".format(self._tries),
elapsed=elapsed)
else:
self._message(element, MessageType.FAIL, str(e),
elapsed=elapsed, detail=e.detail,
logfile=filename, sandbox=e.sandbox)
# Report changes in the workspace, even if there was a handled failure
self._child_send_workspace()
# Report the exception to the parent (for internal testing purposes)
self._child_send_error(e)
self._child_shutdown(1)
except Exception as e: # pylint: disable=broad-except
# If an unhandled (not normalized to BstError) occurs, that's a bug,
# send the traceback and formatted exception back to the frontend
# and print it to the log file.
#
elapsed = datetime.datetime.now() - starttime
detail = "An unhandled exception occured:\n\n{}".format(traceback.format_exc())
self._message(element, MessageType.BUG, self.action_name,
elapsed=elapsed, detail=detail,
logfile=filename)
self._child_shutdown(1)
else:
# No exception occurred in the action
self._child_send_workspace()
self._child_send_result(result)
elapsed = datetime.datetime.now() - starttime
self._message(element, MessageType.SUCCESS, self.action_name, elapsed=elapsed,
logfile=filename)
# Shutdown needs to stay outside of the above context manager,
# make sure we dont try to handle SIGTERM while the process
# is already busy in sys.exit()
self._child_shutdown(0)
# _child_send_error()
#
# Sends an error to the main process through the message queue
#
# Args:
# e (Exception): The error to send
#
def _child_send_error(self, e):
domain = None
reason = None
if isinstance(e, BstError):
domain = e.domain
reason = e.reason
envelope = Envelope('error', {
'domain': domain,
'reason': reason
})
self._queue.put(envelope)
# _child_send_result()
#
# Sends the serialized result to the main process through the message queue
#
# Args:
# result (object): A simple serializable object, or None
#
# Note: If None is passed here, nothing needs to be sent, the
# result member in the parent process will simply remain None.
#
def _child_send_result(self, result):
if result is not None:
envelope = Envelope('result', result)
self._queue.put(envelope)
# _child_send_workspace()
#
# Sends the serialized workspace through the message queue, if any
#
def _child_send_workspace(self):
workspace = self.element._get_workspace()
if workspace:
envelope = Envelope('workspace', workspace.to_dict())
self._queue.put(envelope)
# _child_shutdown()
#
# Shuts down the child process by cleaning up and exiting the process
#
# Args:
# exit_code (int): The exit code to exit with
#
def _child_shutdown(self, exit_code):
self._queue.close()
sys.exit(exit_code)
# _child_log()
#
# Logs a Message to the process's dedicated log file
#
# Args:
# plugin (Plugin): The plugin to log for
# message (Message): The message to log
#
def _child_log(self, plugin, message):
with plugin._output_file() as output:
INDENT = " "
EMPTYTIME = "--:--:--"
name = '[' + plugin.name + ']'
fmt = "[{timecode: <8}] {type: <7} {name: <15}: {message}"
detail = ''
if message.detail is not None:
fmt += "\n\n{detail}"
detail = message.detail.rstrip('\n')
detail = INDENT + INDENT.join(detail.splitlines(True))
timecode = EMPTYTIME
if message.message_type in (MessageType.SUCCESS, MessageType.FAIL):
hours, remainder = divmod(int(message.elapsed.total_seconds()), 60 * 60)
minutes, seconds = divmod(remainder, 60)
timecode = "{0:02d}:{1:02d}:{2:02d}".format(hours, minutes, seconds)
message_text = fmt.format(timecode=timecode,
type=message.message_type.upper(),
name=name,
message=message.message,
detail=detail)
output.write('{}\n'.format(message_text))
output.flush()
# _child_message_handler()
#
# A Context delegate for handling messages, this replaces the
# frontend's main message handler in the context of a child task
# and performs local logging to the local log file before sending
# the message back to the parent process for further propagation.
#
# Args:
# message (Message): The message to log
# context (Context): The context object delegating this message
#
def _child_message_handler(self, message, context):
# Tag them on the way out the door...
message.action_name = self.action_name
message.task_id = self.element._get_unique_id()
# Use the plugin for the task for the output, not a plugin
# which might be acting on behalf of the task
plugin = _plugin_lookup(message.task_id)
# Log first
self._child_log(plugin, message)
if message.message_type == MessageType.FAIL and self._tries <= self._max_retries:
# Job will be retried, display failures as warnings in the frontend
message.message_type = MessageType.WARN
# Send to frontend if appropriate
if context.silent_messages() and (message.message_type not in unconditional_messages):
return
if message.message_type == MessageType.LOG:
return
self._queue.put(Envelope('message', message))
# _parent_shutdown()
#
# Shuts down the Job on the parent side by reading any remaining
# messages on the message queue and cleaning up any resources.
#
def _parent_shutdown(self):
# Make sure we've read everything we need and then stop listening
self._parent_process_queue()
self._parent_stop_listening()
# _parent_child_completed()
#
# Called in the main process courtesy of asyncio's ChildWatcher.add_child_handler()
#
# Args:
# pid (int): The PID of the child which completed
# returncode (int): The return code of the child process
#
def _parent_child_completed(self, pid, returncode):
self._parent_shutdown()
if returncode != 0 and self._tries <= self._max_retries:
self.spawn()
return
self._complete_cb(self, self.element, returncode == 0, self._result)
# _parent_process_envelope()
#
# Processes a message Envelope deserialized form the message queue.
#
# this will have the side effect of assigning some local state
# on the Job in the parent process for later inspection when the
# child process completes.
#
# Args:
# envelope (Envelope): The message envelope
#
def _parent_process_envelope(self, envelope):
if not self._listening:
return
if envelope.message_type == 'message':
# Propagate received messages from children
# back through the context.
self._scheduler.context.message(envelope.message)
elif envelope.message_type == 'error':
# For regression tests only, save the last error domain / reason
# reported from a child task in the main process, this global state
# is currently managed in _exceptions.py
set_last_task_error(envelope.message['domain'],
envelope.message['reason'])
elif envelope.message_type == 'result':
assert self._result is None
self._result = envelope.message
elif envelope.message_type == 'workspace':
self.workspace_dict = envelope.message
else:
raise Exception()
# _parent_process_queue()
#
# Reads back message envelopes from the message queue
# in the parent process.
#
def _parent_process_queue(self):
while not self._queue.empty():
envelope = self._queue.get_nowait()
self._parent_process_envelope(envelope)
# _parent_recv()
#
# A callback to handle I/O events from the message
# queue file descriptor in the main process message loop
#
def _parent_recv(self, *args):
self._parent_process_queue()
# _parent_start_listening()
#
# Starts listening on the message queue
#
def _parent_start_listening(self):
# Warning: Platform specific code up ahead
#
# The multiprocessing.Queue object does not tell us how
# to receive io events in the receiving process, so we
# need to sneak in and get its file descriptor.
#
# The _reader member of the Queue is currently private
# but well known, perhaps it will become public:
#
# http://bugs.python.org/issue3831
#
if not self._listening:
self._scheduler.loop.add_reader(
self._queue._reader.fileno(), self._parent_recv)
self._listening = True
# _parent_stop_listening()
#
# Stops listening on the message queue
#
def _parent_stop_listening(self):
if self._listening:
self._scheduler.loop.remove_reader(self._queue._reader.fileno())
self._listening = False