import logging import os import socket import sys import traceback import warnings from queue import Queue from threading import Thread from time import sleep from tlz import merge from tornado import gen from ..metrics import time logger = logging.getLogger(__name__) # These are handy for creating colorful terminal output to enhance readability # of the output generated by dask-ssh. class bcolors: HEADER = "\033[95m" OKBLUE = "\033[94m" OKGREEN = "\033[92m" WARNING = "\033[93m" FAIL = "\033[91m" ENDC = "\033[0m" BOLD = "\033[1m" UNDERLINE = "\033[4m" def async_ssh(cmd_dict): import paramiko from paramiko.buffered_pipe import PipeTimeout from paramiko.ssh_exception import PasswordRequiredException, SSHException ssh = paramiko.SSHClient() ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) retries = 0 while True: # Be robust to transient SSH failures. try: # Set paramiko logging to WARN or higher to squelch INFO messages. logging.getLogger("paramiko").setLevel(logging.WARN) ssh.connect( hostname=cmd_dict["address"], username=cmd_dict["ssh_username"], port=cmd_dict["ssh_port"], key_filename=cmd_dict["ssh_private_key"], compress=True, timeout=30, banner_timeout=30, ) # Helps prevent timeouts when many concurrent ssh connections are opened. # Connection successful, break out of while loop break except (SSHException, PasswordRequiredException) as e: print( "[ dask-ssh ] : " + bcolors.FAIL + "SSH connection error when connecting to {addr}:{port} " "to run '{cmd}'".format( addr=cmd_dict["address"], port=cmd_dict["ssh_port"], cmd=cmd_dict["cmd"], ) + bcolors.ENDC ) print( bcolors.FAIL + " SSH reported this exception: " + str(e) + bcolors.ENDC ) # Print an exception traceback traceback.print_exc() # Transient SSH errors can occur when many SSH connections are # simultaneously opened to the same server. This makes a few # attempts to retry. retries += 1 if retries >= 3: print( "[ dask-ssh ] : " + bcolors.FAIL + "SSH connection failed after 3 retries. Exiting." + bcolors.ENDC ) # Connection failed after multiple attempts. Terminate this thread. os._exit(1) # Wait a moment before retrying print( " " + bcolors.FAIL + f"Retrying... (attempt {retries}/3)" + bcolors.ENDC ) sleep(1) # Execute the command, and grab file handles for stdout and stderr. Note # that we run the command using the user's default shell, but force it to # run in an interactive login shell, which hopefully ensures that all of the # user's normal environment variables (via the dot files) have been loaded # before the command is run. This should help to ensure that important # aspects of the environment like PATH and PYTHONPATH are configured. print("[ {label} ] : {cmd}".format(label=cmd_dict["label"], cmd=cmd_dict["cmd"])) stdin, stdout, stderr = ssh.exec_command( "$SHELL -i -c '" + cmd_dict["cmd"] + "'", get_pty=True ) # Set up channel timeout (which we rely on below to make readline() non-blocking) channel = stdout.channel channel.settimeout(0.1) def read_from_stdout(): """ Read stdout stream, time out if necessary. """ try: line = stdout.readline() while len(line) > 0: # Loops until a timeout exception occurs line = line.rstrip() logger.debug("stdout from ssh channel: %s", line) cmd_dict["output_queue"].put( "[ {label} ] : {output}".format( label=cmd_dict["label"], output=line ) ) line = stdout.readline() except (PipeTimeout, socket.timeout): pass def read_from_stderr(): """ Read stderr stream, time out if necessary. """ try: line = stderr.readline() while len(line) > 0: line = line.rstrip() logger.debug("stderr from ssh channel: %s", line) cmd_dict["output_queue"].put( "[ {label} ] : ".format(label=cmd_dict["label"]) + bcolors.FAIL + line + bcolors.ENDC ) line = stderr.readline() except (PipeTimeout, socket.timeout): pass def communicate(): """ Communicate a little bit, without blocking too long. Return True if the command ended. """ read_from_stdout() read_from_stderr() # Check to see if the process has exited. If it has, we let this thread # terminate. if channel.exit_status_ready(): exit_status = channel.recv_exit_status() cmd_dict["output_queue"].put( "[ {label} ] : ".format(label=cmd_dict["label"]) + bcolors.FAIL + "remote process exited with exit status " + str(exit_status) + bcolors.ENDC ) return True # Get transport to current SSH client transport = ssh.get_transport() # Wait for a message on the input_queue. Any message received signals this # thread to shut itself down. while cmd_dict["input_queue"].empty(): # Kill some time so that this thread does not hog the CPU. sleep(1.0) # Send noise down the pipe to keep connection active transport.send_ignore() if communicate(): break # Ctrl-C the executing command and wait a bit for command to end cleanly start = time() while time() < start + 5.0: channel.send(b"\x03") # Ctrl-C if communicate(): break sleep(1.0) # Shutdown the channel, and close the SSH connection channel.close() ssh.close() def start_scheduler( logdir, addr, port, ssh_username, ssh_port, ssh_private_key, remote_python=None ): cmd = "{python} -m distributed.cli.dask_scheduler --port {port}".format( python=remote_python or sys.executable, port=port ) # Optionally re-direct stdout and stderr to a logfile if logdir is not None: cmd = f"mkdir -p {logdir} && {cmd}" cmd += "&> {logdir}/dask_scheduler_{addr}:{port}.log".format( addr=addr, port=port, logdir=logdir ) # Format output labels we can prepend to each line of output, and create # a 'status' key to keep track of jobs that terminate prematurely. label = f"{bcolors.BOLD}scheduler {addr}:{port}{bcolors.ENDC}" # Create a command dictionary, which contains everything we need to run and # interact with this command. input_queue = Queue() output_queue = Queue() cmd_dict = { "cmd": cmd, "label": label, "address": addr, "port": port, "input_queue": input_queue, "output_queue": output_queue, "ssh_username": ssh_username, "ssh_port": ssh_port, "ssh_private_key": ssh_private_key, } # Start the thread thread = Thread(target=async_ssh, args=[cmd_dict]) thread.daemon = True thread.start() return merge(cmd_dict, {"thread": thread}) def start_worker( logdir, scheduler_addr, scheduler_port, worker_addr, nthreads, n_workers, ssh_username, ssh_port, ssh_private_key, nohost, memory_limit, worker_port, nanny_port, remote_python=None, remote_dask_worker="distributed.cli.dask_worker", local_directory=None, ): cmd = ( "{python} -m {remote_dask_worker} " "{scheduler_addr}:{scheduler_port} " "--nthreads {nthreads}" + (" --nworkers {n_workers}" if n_workers != 1 else "") ) if not nohost: cmd += " --host {worker_addr}" if memory_limit: cmd += " --memory-limit {memory_limit}" if worker_port: cmd += " --worker-port {worker_port}" if nanny_port: cmd += " --nanny-port {nanny_port}" cmd = cmd.format( python=remote_python or sys.executable, remote_dask_worker=remote_dask_worker, scheduler_addr=scheduler_addr, scheduler_port=scheduler_port, worker_addr=worker_addr, nthreads=nthreads, n_workers=n_workers, memory_limit=memory_limit, worker_port=worker_port, nanny_port=nanny_port, ) if local_directory is not None: cmd += " --local-directory {local_directory}".format( local_directory=local_directory ) # Optionally redirect stdout and stderr to a logfile if logdir is not None: cmd = f"mkdir -p {logdir} && {cmd}" cmd += "&> {logdir}/dask_scheduler_{addr}.log".format( addr=worker_addr, logdir=logdir ) label = f"worker {worker_addr}" # Create a command dictionary, which contains everything we need to run and # interact with this command. input_queue = Queue() output_queue = Queue() cmd_dict = { "cmd": cmd, "label": label, "address": worker_addr, "input_queue": input_queue, "output_queue": output_queue, "ssh_username": ssh_username, "ssh_port": ssh_port, "ssh_private_key": ssh_private_key, } # Start the thread thread = Thread(target=async_ssh, args=[cmd_dict]) thread.daemon = True thread.start() return merge(cmd_dict, {"thread": thread}) class SSHCluster: def __init__( self, scheduler_addr, scheduler_port, worker_addrs, nthreads=0, n_workers=None, ssh_username=None, ssh_port=22, ssh_private_key=None, nohost=False, logdir=None, remote_python=None, memory_limit=None, worker_port=None, nanny_port=None, remote_dask_worker="distributed.cli.dask_worker", local_directory=None, **kwargs, ): self.scheduler_addr = scheduler_addr self.scheduler_port = scheduler_port self.nthreads = nthreads nprocs = kwargs.pop("nprocs", None) if kwargs: raise TypeError( f"__init__() got an unexpected keyword argument {', '.join(kwargs.keys())}" ) if nprocs is not None and n_workers is not None: raise ValueError( "Both nprocs and n_workers were specified. Use n_workers only." ) elif nprocs is not None: warnings.warn( "The nprocs argument will be removed in a future release. It has been " "renamed to n_workers.", FutureWarning, ) n_workers = nprocs elif n_workers is None: n_workers = 1 self.n_workers = n_workers self.ssh_username = ssh_username self.ssh_port = ssh_port self.ssh_private_key = ssh_private_key self.nohost = nohost self.remote_python = remote_python self.memory_limit = memory_limit self.worker_port = worker_port self.nanny_port = nanny_port self.remote_dask_worker = remote_dask_worker self.local_directory = local_directory # Generate a universal timestamp to use for log files import datetime if logdir is not None: logdir = os.path.join( logdir, "dask-ssh_" + datetime.datetime.now().strftime("%Y-%m-%d_%H:%M:%S"), ) print( bcolors.WARNING + "Output will be redirected to logfiles " 'stored locally on individual worker nodes under "{logdir}".'.format( logdir=logdir ) + bcolors.ENDC ) self.logdir = logdir # Keep track of all running threads self.threads = [] # Start the scheduler node self.scheduler = start_scheduler( logdir, scheduler_addr, scheduler_port, ssh_username, ssh_port, ssh_private_key, remote_python, ) # Start worker nodes self.workers = [] for i, addr in enumerate(worker_addrs): self.add_worker(addr) @gen.coroutine def _start(self): pass @property def nprocs(self): warnings.warn( "The nprocs attribute will be removed in a future release. It has been " "renamed to n_workers.", FutureWarning, ) return self.n_workers @nprocs.setter def nprocs(self, value): warnings.warn( "The nprocs attribute will be removed in a future release. It has been " "renamed to n_workers.", FutureWarning, ) self.n_workers = value @property def scheduler_address(self): return "%s:%d" % (self.scheduler_addr, self.scheduler_port) def monitor_remote_processes(self): # Form a list containing all processes, since we treat them equally from here on out. all_processes = [self.scheduler] + self.workers try: while True: for process in all_processes: while not process["output_queue"].empty(): print(process["output_queue"].get()) # Kill some time and free up CPU before starting the next sweep # through the processes. sleep(0.1) # end while true except KeyboardInterrupt: pass # Return execution to the calling process def add_worker(self, address): self.workers.append( start_worker( self.logdir, self.scheduler_addr, self.scheduler_port, address, self.nthreads, self.n_workers, self.ssh_username, self.ssh_port, self.ssh_private_key, self.nohost, self.memory_limit, self.worker_port, self.nanny_port, self.remote_python, self.remote_dask_worker, self.local_directory, ) ) def shutdown(self): all_processes = [self.scheduler] + self.workers for process in all_processes: process["input_queue"].put("shutdown") process["thread"].join() def __enter__(self): return self def __exit__(self, *args): self.shutdown()