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#!/usr/bin/env python3
import logging
import threading
import time
from typing import Optional
import zmq
from parsl import curvezmq
from parsl.addresses import tcp_url
from parsl.errors import InternalConsistencyError
from parsl.executors.high_throughput.errors import (
CommandClientBadError,
CommandClientTimeoutError,
)
logger = logging.getLogger(__name__)
class CommandClient:
""" CommandClient
"""
def __init__(self, ip_address, port_range, cert_dir: Optional[str] = None):
"""
Parameters
----------
ip_address: str
IP address of the client (where Parsl runs)
port_range: tuple(int, int)
Port range for the comms between client and interchange
cert_dir: str | None
Path to the certificate directory. Setting this to None will disable encryption.
default: None
"""
self.zmq_context = curvezmq.ClientContext(cert_dir)
self.ip_address = ip_address
self.port_range = port_range
self.port = None
self.create_socket_and_bind()
self._lock = threading.Lock()
self.ok = True
def create_socket_and_bind(self):
""" Creates socket and binds to a port.
Upon recreating the socket, we bind to the same port.
"""
self.zmq_socket = self.zmq_context.socket(zmq.REQ)
self.zmq_socket.setsockopt(zmq.LINGER, 0)
if self.port is None:
self.port = self.zmq_socket.bind_to_random_port(tcp_url(self.ip_address),
min_port=self.port_range[0],
max_port=self.port_range[1])
else:
self.zmq_socket.bind(tcp_url(self.ip_address, self.port))
def run(self, message, max_retries=3, timeout_s=None):
""" This function needs to be fast at the same time aware of the possibility of
ZMQ pipes overflowing.
We could set copy=False and get slightly better latency but this results
in ZMQ sockets reaching a broken state once there are ~10k tasks in flight.
This issue can be magnified if each the serialized buffer itself is larger.
"""
if not self.ok:
raise CommandClientBadError()
start_time_s = time.monotonic()
reply = '__PARSL_ZMQ_PIPES_MAGIC__'
with self._lock:
logger.debug("Sending command client command")
if timeout_s is not None:
remaining_time_s = start_time_s + timeout_s - time.monotonic()
poll_result = self.zmq_socket.poll(timeout=remaining_time_s * 1000, flags=zmq.POLLOUT)
if poll_result == zmq.POLLOUT:
pass # this is OK, so continue
elif poll_result == 0:
raise CommandClientTimeoutError("Waiting for command channel to be ready for a command")
else:
raise InternalConsistencyError(f"ZMQ poll returned unexpected value: {poll_result}")
self.zmq_socket.send_pyobj(message, copy=True)
if timeout_s is not None:
logger.debug("Polling for command client response or timeout")
remaining_time_s = start_time_s + timeout_s - time.monotonic()
poll_result = self.zmq_socket.poll(timeout=remaining_time_s * 1000, flags=zmq.POLLIN)
if poll_result == zmq.POLLIN:
pass # this is OK, so continue
elif poll_result == 0:
logger.error("Command timed-out - command client is now bad forever")
self.ok = False
raise CommandClientTimeoutError("Waiting for a reply from command channel")
else:
raise InternalConsistencyError(f"ZMQ poll returned unexpected value: {poll_result}")
logger.debug("Receiving command client response")
reply = self.zmq_socket.recv_pyobj()
logger.debug("Received command client response")
return reply
def close(self):
self.zmq_socket.close()
self.zmq_context.term()
class TasksOutgoing:
""" Outgoing task queue from the executor to the Interchange
"""
def __init__(self, ip_address, port_range, cert_dir: Optional[str] = None):
"""
Parameters
----------
ip_address: str
IP address of the client (where Parsl runs)
port_range: tuple(int, int)
Port range for the comms between client and interchange
cert_dir: str | None
Path to the certificate directory. Setting this to None will disable encryption.
default: None
"""
self.zmq_context = curvezmq.ClientContext(cert_dir)
self.zmq_socket = self.zmq_context.socket(zmq.DEALER)
self.zmq_socket.set_hwm(0)
self.port = self.zmq_socket.bind_to_random_port(tcp_url(ip_address),
min_port=port_range[0],
max_port=port_range[1])
def put(self, message):
""" This function needs to be fast at the same time aware of the possibility of
ZMQ pipes overflowing.
We could set copy=False and get slightly better latency but this results
in ZMQ sockets reaching a broken state once there are ~10k tasks in flight.
This issue can be magnified if each the serialized buffer itself is larger.
"""
logger.debug("Sending TasksOutgoing message")
self.zmq_socket.send_pyobj(message)
logger.debug("Sent TasksOutgoing message")
def close(self):
self.zmq_socket.close()
self.zmq_context.term()
class ResultsIncoming:
""" Incoming results queue from the Interchange to the executor
"""
def __init__(self, ip_address, port_range, cert_dir: Optional[str] = None):
"""
Parameters
----------
ip_address: str
IP address of the client (where Parsl runs)
port_range: tuple(int, int)
Port range for the comms between client and interchange
cert_dir: str | None
Path to the certificate directory. Setting this to None will disable encryption.
default: None
"""
self.zmq_context = curvezmq.ClientContext(cert_dir)
self.results_receiver = self.zmq_context.socket(zmq.DEALER)
self.results_receiver.set_hwm(0)
self.port = self.results_receiver.bind_to_random_port(tcp_url(ip_address),
min_port=port_range[0],
max_port=port_range[1])
def get(self, timeout_ms=None):
"""Get a message from the queue, returning None if timeout expires
without a message. timeout is measured in milliseconds.
"""
if zmq.POLLIN == self.results_receiver.poll(timeout_ms, zmq.POLLIN):
logger.debug("Receiving ResultsIncoming multipart message")
return self.results_receiver.recv_multipart()
return None
def close(self):
self.results_receiver.close()
self.zmq_context.term()
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