All protocol classes have now been duplicated in order to minimize the use of pydantic validation The "pure" classes are named what the previous validated classes were, now each transport has its transport name prefixed on the class. For example before we had Heartbeat, now we have Heartbeat and JsonHeartbeat This new architecture allows us to reduce the number of useless backend validation steps created when copying and processing data, reducing CPU stress by roughly 10-20% in real world testing
370 lines
9.9 KiB
Python
370 lines
9.9 KiB
Python
import asyncio
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import logging
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import threading
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from concurrent.futures import CancelledError as FutureCancelledError
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from concurrent.futures import TimeoutError as FutureTimeoutError
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from math import sin, tau
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from statistics import mean
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from time import monotonic, monotonic_ns, perf_counter
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from uuid import UUID, uuid4
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from rich.logging import RichHandler
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from dynalab_core.protocols.common import VersionDescriptor
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from dynalab_core.protocols.constants import PROTOCOL_VERSION
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from dynalab_core.protocols.json.wire import read_message, write_message
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from dynalab_core.protocols.packets import (
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JsonConnectorHello,
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JsonDynaLabHello,
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JsonHeartbeat,
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JsonValueBatch,
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JsonValueDescriptor,
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)
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from dynalab_core.protocols.packets.data import ValueBatch, ValueDescriptor
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from dynalab_core.protocols.packets.handshake import (
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ConnectorHello,
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DynaLabHello,
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SignalDescriptor,
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)
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from dynalab_core.protocols.packets.heartbeat import Heartbeat
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HOST = "127.0.0.1"
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PORT = 8765
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# Set to None to send as quickly as possible.
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# For a controlled rate, use something like 5_000.0.
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TARGET_FREQUENCY_HZ: float | None = 1000
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SINE_FREQUENCY_HZ = 0.5
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FREQUENCY_SAMPLE_SIZE = 20000
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CONNECTOR_VERSION = VersionDescriptor(
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type="alpha",
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major=0,
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minor=0,
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patch=1,
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)
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logging.basicConfig(
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level=logging.DEBUG,
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format="%(name)s %(message)s",
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datefmt="%H:%M:%S",
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handlers=[
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RichHandler(
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rich_tracebacks=True,
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show_path=False,
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)
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],
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force=True,
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)
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log = logging.getLogger(__name__)
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signal_id_1: UUID = UUID("3f32cea3-d872-4c16-a0a2-54b57171aeb2")
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signal_id_2: UUID = UUID("6578ac37-99d1-410c-b3f7-d049339919b2")
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def monotonic_ms() -> int:
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return round(monotonic() * 1_000)
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async def send_message(
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writer: asyncio.StreamWriter,
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write_lock: asyncio.Lock,
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message: object,
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) -> None:
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"""
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Serialize access to the asyncio StreamWriter.
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Both heartbeat replies and value messages use this function.
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"""
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async with write_lock:
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await write_message(writer, message)
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def value_sender_thread(
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loop: asyncio.AbstractEventLoop,
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writer: asyncio.StreamWriter,
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write_lock: asyncio.Lock,
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stop_event: threading.Event,
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) -> None:
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"""
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Run the high-frequency timing loop in a dedicated OS thread.
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The asyncio StreamWriter is not thread-safe, so each write is submitted
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back to the asyncio event loop with run_coroutine_threadsafe().
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"""
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intervals: list[float] = []
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previous_send_time: float | None = None
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sine_start_time = perf_counter()
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if TARGET_FREQUENCY_HZ is not None:
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period = 1.0 / TARGET_FREQUENCY_HZ
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next_send_time = perf_counter()
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else:
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period = None
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next_send_time = 0.0
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log.debug("Value sender thread started")
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try:
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while not stop_event.is_set():
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if period is not None:
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while True:
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remaining = next_send_time - perf_counter()
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if remaining <= 0:
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break
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# Sleep for larger remaining times, then spin for the
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# final fraction of a millisecond.
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if remaining > 0.001:
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stop_event.wait(remaining - 0.0005)
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if stop_event.is_set():
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return
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next_send_time += period
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sine_value = sin(
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tau * SINE_FREQUENCY_HZ * (perf_counter() - sine_start_time)
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)
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timestamp = monotonic_ns()
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message = JsonValueBatch(values=[])
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value1 = JsonValueDescriptor(
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signal_id=signal_id_1,
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value=2.0 * sine_value,
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timestamp=timestamp,
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)
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value2 = JsonValueDescriptor(
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signal_id=signal_id_2,
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value=sine_value,
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timestamp=timestamp,
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)
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message.values.append(value1)
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message.values.append(value2)
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future = asyncio.run_coroutine_threadsafe(
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send_message(
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writer,
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write_lock,
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message,
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),
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loop,
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)
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try:
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# Waiting prevents an ever-growing queue of scheduled writes.
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future.result(timeout=2.0)
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except FutureTimeoutError:
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log.warning("Timed out sending value message")
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future.cancel()
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return
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except FutureCancelledError:
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return
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except Exception:
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log.exception("Value sender failed")
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return
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current_send_time = perf_counter()
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if previous_send_time is not None:
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intervals.append(current_send_time - previous_send_time)
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previous_send_time = current_send_time
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if len(intervals) >= FREQUENCY_SAMPLE_SIZE:
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average_interval = mean(intervals)
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frequency_hz = 1.0 / average_interval
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log.debug(
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"Value frequency: %.3f kHz",
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frequency_hz / 1_000.0,
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)
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intervals.clear()
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if period is not None:
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# Do not try to catch up by rapidly sending many old periods.
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current_time = perf_counter()
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if next_send_time < current_time - period:
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missed_periods = int((current_time - next_send_time) / period)
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next_send_time += missed_periods * period
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finally:
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log.debug("Value sender thread stopped")
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async def perform_handshake(
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reader: asyncio.StreamReader,
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writer: asyncio.StreamWriter,
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write_lock: asyncio.Lock,
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) -> None:
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try:
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message = await asyncio.wait_for(
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read_message(reader),
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timeout=30.0,
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)
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except TimeoutError as exc:
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raise TimeoutError("Timed out waiting for server hello") from exc
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if not isinstance(message, JsonDynaLabHello):
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raise RuntimeError(f"Expected DynaLabHello, received {type(message).__name__}")
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log.debug(
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"Received hello from core instance %s",
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message.instance_id,
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)
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connector_hello = JsonConnectorHello(
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connector_uuid=uuid4(),
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protocol_version=PROTOCOL_VERSION,
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connector_name="Test connector",
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connector_version=CONNECTOR_VERSION.get_version(),
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signals=[
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SignalDescriptor(
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id=signal_id_1, name="Dummy signal 1", type="number", timeout_ms=5000
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),
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SignalDescriptor(
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id=signal_id_2, name="Dummy signal 2", type="number", timeout_ms=5000
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),
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],
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)
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try:
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await asyncio.wait_for(
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send_message(
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writer,
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write_lock,
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connector_hello,
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),
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timeout=5.0,
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)
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except TimeoutError as exc:
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raise TimeoutError("Timed out sending connector hello") from exc
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log.info(
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"Connector hello sent for %s",
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connector_hello.connector_uuid,
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)
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async def receive_messages(
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reader: asyncio.StreamReader,
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writer: asyncio.StreamWriter,
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write_lock: asyncio.Lock,
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) -> None:
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while True:
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message = await read_message(reader)
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if isinstance(message, JsonHeartbeat):
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message.return_timestamp = monotonic_ms()
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await send_message(
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writer,
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write_lock,
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message,
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)
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log.debug(
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"Returned heartbeat %s",
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message.sequence,
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)
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else:
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log.debug(
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"Received unexpected message: %s",
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type(message).__name__,
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)
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async def main() -> None:
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writer: asyncio.StreamWriter | None = None
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sender_thread: threading.Thread | None = None
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sender_stop_event = threading.Event()
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try:
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reader, writer = await asyncio.open_connection(
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host=HOST,
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port=PORT,
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)
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log.info(
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"Connected to DynaLab core at %s:%d",
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HOST,
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PORT,
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)
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write_lock = asyncio.Lock()
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await perform_handshake(
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reader,
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writer,
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write_lock,
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)
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loop = asyncio.get_running_loop()
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sender_thread = threading.Thread(
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target=value_sender_thread,
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name="value_sender",
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args=(
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loop,
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writer,
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write_lock,
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sender_stop_event,
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),
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daemon=True,
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)
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sender_thread.start()
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await receive_messages(
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reader,
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writer,
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write_lock,
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)
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except TimeoutError as exc:
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log.warning("%s", exc)
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except asyncio.IncompleteReadError:
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log.warning("DynaLab core closed the connection")
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except ConnectionError as exc:
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log.warning("Connection error: %s", exc)
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except RuntimeError as exc:
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log.warning("Protocol error: %s", exc)
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finally:
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sender_stop_event.set()
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if sender_thread is not None:
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# Do not call thread.join() directly because that would block the
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# asyncio event loop while the thread may be waiting on it.
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await asyncio.to_thread(
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sender_thread.join,
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3.0,
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)
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if sender_thread.is_alive():
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log.warning("Value sender thread did not stop cleanly")
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if writer is not None:
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writer.close()
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try:
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await writer.wait_closed()
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except ConnectionError:
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pass
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log.info("Disconnected from DynaLab core")
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if __name__ == "__main__":
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try:
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asyncio.run(main())
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except KeyboardInterrupt:
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log.info("Stopped by user")
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