def __init__(self,
connection: Optional[Connection] = None,
host: Optional[str] = None,
port: Optional[int] = None,
loop: Optional[asyncio.AbstractEventLoop] = None,
update_interval: int = 60,
infer_arming_state: bool = False,
alarm: Optional[Alarm] = None):
if connection is None:
assert host is not None
assert port is not None
assert loop is not None
connection = IP232Connection(host=host, port=port, loop=loop)
if alarm is None:
alarm = Alarm(infer_arming_state=infer_arming_state)
self.alarm = alarm
self._on_event_received: Optional[Callable[[BaseEvent], None]] = None
self._connection = connection
self._closed = False
self._backoff = Backoff()
self._connect_lock = asyncio.Lock()
self._last_recv: Optional[datetime.datetime] = None
self._update_interval = update_interval
def __init__(
self,
coordinator_url: str,
notifier,
state,
scalar,
):
# xaynet rust participant
self._xaynet_participant = xaynet_sdk.Participant(
coordinator_url, scalar, state)
self._exit_event = threading.Event()
self._poll_period = Backoff(min_ms=100,
max_ms=10000,
factor=1.2,
jitter=False)
# new global model notifier
self._notifier = notifier
# calls to an external lib are thread-safe https://stackoverflow.com/a/42023362
# however, if a user calls `stop` in the middle of the `_tick` call, the
# `save` method will be executed (which consumes the participant) and every following call
# will fail with a call on an uninitialized participant. Therefore we lock during `tick`.
self._tick_lock = threading.Lock()
super().__init__(daemon=True)
def __init__(
self,
coordinator_url: str,
participant,
p_args,
p_kwargs,
state,
scalar,
):
# xaynet rust participant
self._xaynet_participant = xaynet_sdk.Participant(
coordinator_url, scalar, state)
# https://github.com/python/cpython/blob/3.9/Lib/multiprocessing/process.py#L80
# stores the Participant class with its args and kwargs
# the participant is created in the `run` method to ensure that the participant/ ml
# model is initialized on the participant thread otherwise the participant lives on the main
# thread which can created issues with some of the ml frameworks.
self._participant = participant
self._p_args = tuple(p_args)
self._p_kwargs = dict(p_kwargs)
self._exit_event = threading.Event()
self._poll_period = Backoff(min_ms=100,
max_ms=10000,
factor=1.2,
jitter=False)
# global model cache
self._global_model = None
self._error_on_fetch_global_model = False
self._tick_lock = threading.Lock()
super().__init__(daemon=True)
def __init__(self, name, logger):
super().__init__()
self.name = name
self.logger = logger.bind(worker=name)
self.exit = False
self.event = threading.Event()
self.backoff = Backoff(min_ms=100,
max_ms=30000,
factor=2,
jitter=False)
self.lastWorked = time.time()
class Worker(threading.Thread):
def __init__(self, name, logger):
super().__init__()
self.name = name
self.logger = logger.bind(worker=name)
self.exit = False
self.event = threading.Event()
self.backoff = Backoff(min_ms=100,
max_ms=30000,
factor=2,
jitter=False)
self.lastWorked = time.time()
def run(self):
self.logger.info('Worker started')
self.setup()
while not self.exit:
worked = False
try:
worked = self.work()
except Exception as e:
self.logger.warn('Worker job failed', exc_info=e)
if worked:
self.backoff.reset()
self.lastWorked = time.time()
else:
#self.logger.debug(f'Worker has nothing to do')
pass
self.event.wait(self.backoff.duration())
self.event.clear()
self.teardown()
self.logger.info('Worker stopped')
def stop(self):
self.exit = True
self.event.set()
def setup(self):
pass
def teardown(self):
pass
def work(self):
return False
def idle(self):
return time.time() - self.lastWorked
def test_jitter(self):
b = Backoff(min_ms=100.0, max_ms=10000.0, factor=2.0, jitter=True)
self.assertEqual(b.duration(), to_seconds(100.0))
self.assert_between(b.duration(), to_seconds(100.0), to_seconds(200.0))
self.assert_between(b.duration(), to_seconds(100.0), to_seconds(400.0))
b.reset()
self.assertEqual(b.duration(), to_seconds(100.0))
def test_factor(self):
b = Backoff(min_ms=100, max_ms=10000, factor=1.5)
self.assertEqual(b.duration(), to_seconds(100.0))
self.assertEqual(b.duration(), to_seconds(150.0))
self.assertEqual(b.duration(), to_seconds(225.0))
b.reset()
self.assertEqual(b.duration(), to_seconds(100.0))
def test_min_bigger_than_max(self):
b = Backoff(min_ms=10000.0, max_ms=1000.0, factor=2)
self.assertEqual(b.duration(), 1.0)
self.assertEqual(b.duration(), 1.0)
self.assertEqual(b.duration(), 1.0)
b.reset()
self.assertEqual(b.duration(), 1.0)
def test_integers(self):
b = Backoff(min_ms=100, max_ms=10000, factor=2)
self.assertEqual(b.duration(), to_seconds(100.0))
self.assertEqual(b.duration(), to_seconds(200.0))
self.assertEqual(b.duration(), to_seconds(400.0))
b.reset()
self.assertEqual(b.duration(), to_seconds(100.0))
def __init__(self, logger):
super().__init__('ICloud photo library scraper', logger)
self.backoff = Backoff(min_ms=1000,
max_ms=60000,
factor=2,
jitter=False)
self.iterator = None
self.current = None
if os.stat(STORAGE_DIR) is None:
os.mkdir(STORAGE_DIR)
with open(os.path.join(AUTH_DIR, 'icloud.json'), 'r') as file:
credentials = json.load(file)
self._icloud = PyiCloudService(credentials['username'],
password=credentials['password'],
cookie_directory=AUTH_DIR)
class AsyncParticipant(threading.Thread):
def __init__(
self,
coordinator_url: str,
notifier,
state,
scalar,
):
# xaynet rust participant
self._xaynet_participant = xaynet_sdk.Participant(
coordinator_url, scalar, state)
self._exit_event = threading.Event()
self._poll_period = Backoff(min_ms=100,
max_ms=10000,
factor=1.2,
jitter=False)
# new global model notifier
self._notifier = notifier
# calls to an external lib are thread-safe https://stackoverflow.com/a/42023362
# however, if a user calls `stop` in the middle of the `_tick` call, the
# `save` method will be executed (which consumes the participant) and every following call
# will fail with a call on an uninitialized participant. Therefore we lock during `tick`.
self._tick_lock = threading.Lock()
super().__init__(daemon=True)
def run(self):
try:
self._run()
except Exception as err: # pylint: disable=broad-except
LOG.error("unrecoverable error: %s shut down participant", err)
self._exit_event.set()
def _notify(self):
if self._notifier.is_set() is False:
LOG.debug("notify that a new global model is available")
self._notifier.set()
def _run(self):
while not self._exit_event.is_set():
self._tick()
def _tick(self):
with self._tick_lock:
self._xaynet_participant.tick()
new_global_model = self._xaynet_participant.new_global_model()
made_progress = self._xaynet_participant.made_progress()
if new_global_model:
self._notify()
if made_progress:
self._poll_period.reset()
self._exit_event.wait(timeout=self._poll_period.duration())
else:
self._exit_event.wait(timeout=self._poll_period.duration())
def get_global_model(self) -> Optional[list]:
"""
Fetches the current global model. This method can be called at any time. If no global
model exists (usually in the first round), the method returns `None`.
Returns:
The current global model in the form of a list or `None`. The data type of the
elements match the data type defined in the coordinator configuration.
Raises:
GlobalModelUnavailable: If the participant cannot connect to the coordinator to get
the global model.
GlobalModelDataTypeMisMatch: If the data type of the global model does not match
the data type defined in the coordinator configuration.
"""
LOG.debug("get global model")
self._notifier.clear()
with self._tick_lock:
return self._xaynet_participant.global_model()
def set_local_model(self, local_model: list):
"""
Sets a local model. This method can be called at any time. Internally the
participant first caches the local model. As soon as the participant is selected as the
update participant, the currently cached local model is used. This means that the cache
is empty after this operation.
If a local model is already in the cache and `set_local_model` is called with a new local
model, the current cached local model will be replaced by the new one.
If the participant is an update participant and there is no local model in the cache,
the participant waits until a local model is set or until a new round has been started.
Args:
local_model: The local model in the form of a list. The data type of the
elements must match the data type defined in the coordinator configuration.
Raises:
LocalModelLengthMisMatch: If the length of the local model does not match the
length defined in the coordinator configuration.
LocalModelDataTypeMisMatch: If the data type of the local model does not match
the data type defined in the coordinator configuration.
"""
LOG.debug("set local model in model store")
with self._tick_lock:
self._xaynet_participant.set_model(local_model)
def stop(self) -> List[int]:
"""
Stops the execution of the participant and returns its serialized state.
The serialized state can be passed to the `spawn_async_participant` function
to restore a participant.
After calling `stop`, the participant is consumed. Every further method
call on the handle of `AsyncParticipant` leads to an `UninitializedParticipant`
exception.
Note:
The serialized state contains unencrypted **private key(s)**. If used
in production, it is important that the serialized state is securely saved.
Returns:
The serialized state of the participant.
"""
LOG.debug("stop participant")
self._exit_event.set()
self._notifier.clear()
with self._tick_lock:
return self._xaynet_participant.save()
class InternalParticipant(threading.Thread):
def __init__(
self,
coordinator_url: str,
participant,
p_args,
p_kwargs,
state,
scalar,
):
# xaynet rust participant
self._xaynet_participant = xaynet_sdk.Participant(
coordinator_url, scalar, state)
# https://github.com/python/cpython/blob/3.9/Lib/multiprocessing/process.py#L80
# stores the Participant class with its args and kwargs
# the participant is created in the `run` method to ensure that the participant/ ml
# model is initialized on the participant thread otherwise the participant lives on the main
# thread which can created issues with some of the ml frameworks.
self._participant = participant
self._p_args = tuple(p_args)
self._p_kwargs = dict(p_kwargs)
self._exit_event = threading.Event()
self._poll_period = Backoff(min_ms=100,
max_ms=10000,
factor=1.2,
jitter=False)
# global model cache
self._global_model = None
self._error_on_fetch_global_model = False
self._tick_lock = threading.Lock()
super().__init__(daemon=True)
def run(self):
self._participant = self._participant(*self._p_args, *self._p_kwargs)
try:
self._run()
except Exception as err: # pylint: disable=broad-except
LOG.error("unrecoverable error: %s shut down participant", err)
self._exit_event.set()
def _fetch_global_model(self):
LOG.debug("fetch global model")
try:
global_model = self._xaynet_participant.global_model()
except (
xaynet_sdk.GlobalModelUnavailable,
xaynet_sdk.GlobalModelDataTypeMisMatch,
) as err:
LOG.warning("failed to get global model: %s", err)
self._error_on_fetch_global_model = True
else:
if global_model is not None:
self._global_model = self._participant.deserialize_training_input(
global_model)
else:
self._global_model = None
self._error_on_fetch_global_model = False
def _train(self):
LOG.debug("train model")
data = self._participant.train_round(self._global_model)
local_model = self._participant.serialize_training_result(data)
try:
self._xaynet_participant.set_model(local_model)
except (
xaynet_sdk.LocalModelLengthMisMatch,
xaynet_sdk.LocalModelDataTypeMisMatch,
) as err:
LOG.warning("failed to set local model: %s", err)
def _run(self):
while not self._exit_event.is_set():
self._tick()
def _tick(self):
with self._tick_lock:
self._xaynet_participant.tick()
if (self._xaynet_participant.new_global_model()
or self._error_on_fetch_global_model):
self._fetch_global_model()
if not self._error_on_fetch_global_model:
self._participant.on_new_global_model(self._global_model)
if (self._xaynet_participant.should_set_model()
and self._participant.participate_in_update_task()
and not self._error_on_fetch_global_model):
self._train()
made_progress = self._xaynet_participant.made_progress()
if made_progress:
self._poll_period.reset()
self._exit_event.wait(timeout=self._poll_period.duration())
else:
self._exit_event.wait(timeout=self._poll_period.duration())
def stop(self) -> List[int]:
"""
Stops the execution of the participant and returns its serialized state.
The serialized state can be passed to the `spawn_participant` function
to restore a participant.
After calling `stop`, the participant is consumed. Every further method
call on the handle of `InternalParticipant` leads to an `UninitializedParticipant`
exception.
Note:
The serialized state contains unencrypted **private key(s)**. If used
in production, it is important that the serialized state is securely saved.
Returns:
The serialized state of the participant.
"""
LOG.debug("stopping participant")
self._exit_event.set()
with self._tick_lock:
state = self._xaynet_participant.save()
LOG.debug("participant stopped")
self._participant.on_stop()
return state
def setUp(self):
self.b = Backoff(min_ms=100.0, max_ms=10000.0, factor=2.0)
class TestBackoff(unittest.TestCase, CustomAssertions):
def setUp(self):
self.b = Backoff(min_ms=100.0, max_ms=10000.0, factor=2.0)
def test_defaults(self):
self.assertEqual(self.b.duration(), to_seconds(100.0))
self.assertEqual(self.b.duration(), to_seconds(200.0))
self.assertEqual(self.b.duration(), to_seconds(400.0))
self.b.reset()
self.assertEqual(self.b.duration(), to_seconds(100.0))
def test_factor(self):
b = Backoff(min_ms=100, max_ms=10000, factor=1.5)
self.assertEqual(b.duration(), to_seconds(100.0))
self.assertEqual(b.duration(), to_seconds(150.0))
self.assertEqual(b.duration(), to_seconds(225.0))
b.reset()
self.assertEqual(b.duration(), to_seconds(100.0))
def test_for_attempt(self):
self.assertEqual(self.b.for_attempt(0), to_seconds(100.0))
self.assertEqual(self.b.for_attempt(1), to_seconds(200.0))
self.assertEqual(self.b.for_attempt(2), to_seconds(400.0))
self.b.reset()
self.assertEqual(self.b.for_attempt(0), to_seconds(100.0))
def test_get_attempt(self):
self.assertEqual(self.b.attempt(), 0)
self.assertEqual(self.b.duration(), to_seconds(100.0))
self.assertEqual(self.b.attempt(), 1)
self.assertEqual(self.b.duration(), to_seconds(200.0))
self.assertEqual(self.b.attempt(), 2)
self.assertEqual(self.b.duration(), to_seconds(400.0))
self.assertEqual(self.b.attempt(), 3)
self.b.reset()
self.assertEqual(self.b.attempt(), 0)
self.assertEqual(self.b.duration(), to_seconds(100.0))
self.assertEqual(self.b.attempt(), 1)
def test_jitter(self):
b = Backoff(min_ms=100.0, max_ms=10000.0, factor=2.0, jitter=True)
self.assertEqual(b.duration(), to_seconds(100.0))
self.assert_between(b.duration(), to_seconds(100.0), to_seconds(200.0))
self.assert_between(b.duration(), to_seconds(100.0), to_seconds(400.0))
b.reset()
self.assertEqual(b.duration(), to_seconds(100.0))
def test_integers(self):
b = Backoff(min_ms=100, max_ms=10000, factor=2)
self.assertEqual(b.duration(), to_seconds(100.0))
self.assertEqual(b.duration(), to_seconds(200.0))
self.assertEqual(b.duration(), to_seconds(400.0))
b.reset()
self.assertEqual(b.duration(), to_seconds(100.0))
def cli(ctx,
workflow_id,
invocation_id,
exit_early=False,
backoff_min=1,
backoff_max=60):
"""Given a workflow and invocation id, wait until that invocation is
complete (or one or more steps have errored)
This will exit with the following error codes:
- 0: done successfully
- 1: running (if --exit_early)
- 2: failure
- 3: unknown
"""
backoff = Backoff(min_ms=backoff_min * 1000,
max_ms=backoff_max * 1000,
factor=2,
jitter=True)
prev_state = None
while True:
# Fetch the current state
latest_state = ctx.gi.workflows.show_invocation(
workflow_id, invocation_id)
# Get step states
states = [
step['state'] for step in latest_state['steps']
if step['state'] is not None and step['state'] != 'deleted'
]
# Get a str based state representation
state_rep = '|'.join(map(str, states))
if state_rep != prev_state:
backoff.reset()
prev_state = state_rep
# If it's scheduled, then let's look at steps. Otherwise steps probably don't exist yet.
if latest_state['state'] == 'scheduled':
ctx.vlog("Checking workflow %s states: %s", workflow_id, state_rep)
if exit_early:
print(json.dumps({'state': 'running', 'job_states': states}))
ctx.exit(1)
# Conditions which must be true for all jobs before we can be done
if all([state == 'ok' for state in states]):
print(json.dumps({'state': 'done', 'job_states': states}))
ctx.exit(0)
# Conditions on which to exit immediately (i.e. due to a failure)
if any([state in ('error', 'paused') for state in states]):
print(json.dumps({'state': 'failure', 'job_states': states}))
ctx.exit(2)
else:
ctx.vlog("Waiting for invocation to be scheduled")
if exit_early:
print(json.dumps({'state': 'unscheduled'}))
ctx.exit(0)
time.sleep(backoff.duration())
ctx.exit(3)
import argparse
import os
import time
import logging
import datetime
from justbackoff import Backoff
from bioblend import galaxy
from xunit_wrapper import xunit, xunit_suite, xunit_dump
logging.basicConfig(format='[%(asctime)s][%(lineno)d][%(module)s] %(message)s',
level=logging.DEBUG)
logging.getLogger("requests").setLevel(logging.WARNING)
logging.getLogger("bioblend").setLevel(logging.WARNING)
NOW = datetime.datetime.now()
SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__))
backoff = Backoff(min_ms=100, max_ms=1000 * 60 * 5, factor=2, jitter=False)
BUILD_ID = os.environ.get('BUILD_NUMBER', 'Manual')
def __main__():
parser = argparse.ArgumentParser(
description=
"""Script to run all workflows mentioned in workflows_to_test.
It will import the shared workflows are create histories for each workflow run, prefixed with ``TEST_RUN_<date>:``
Make sure the yaml has file names identical to those in the data library."""
)
parser.add_argument(
'-k',
'--api-key',
'--key',
class Client:
"""
:param update_interval: Frequency (in seconds) to trigger a full state
refresh
:param infer_arming_state: Infer the `DISARMED` arming state only via
system status events. This works around a bug with some panels
(`<v5.8`) which emit `update.status = []` when they are armed.
"""
def __init__(self,
connection: Optional[Connection] = None,
host: Optional[str] = None,
port: Optional[int] = None,
loop: Optional[asyncio.AbstractEventLoop] = None,
update_interval: int = 60,
infer_arming_state: bool = False,
alarm: Optional[Alarm] = None):
if connection is None:
assert host is not None
assert port is not None
assert loop is not None
connection = IP232Connection(host=host, port=port, loop=loop)
if alarm is None:
alarm = Alarm(infer_arming_state=infer_arming_state)
self.alarm = alarm
self._on_event_received: Optional[Callable[[BaseEvent], None]] = None
self._connection = connection
self._closed = False
self._backoff = Backoff()
self._connect_lock = asyncio.Lock()
self._last_recv: Optional[datetime.datetime] = None
self._update_interval = update_interval
async def arm_away(self, code: Optional[str] = None) -> None:
command = 'A{}E'.format(code if code else '')
return await self.send_command(command)
async def arm_home(self, code: Optional[str] = None) -> None:
command = 'H{}E'.format(code if code else '')
return await self.send_command(command)
async def disarm(self, code: str) -> None:
command = '{}E'.format(code)
return await self.send_command(command)
async def panic(self, code: str) -> None:
command = '*{}#'.format(code)
return await self.send_command(command)
async def aux(self, output_id: int, state: bool = True) -> None:
command = '{}{}{}'.format(
output_id, output_id,
'*' if state else '#')
return await self.send_command(command)
async def update(self) -> None:
"""Force update of alarm status and zones"""
_LOGGER.debug("Requesting state update from server (S00, S14)")
await asyncio.gather(
# List unsealed Zones
self.send_command('S00'),
# Arming status update
self.send_command('S14'),
)
async def _connect(self) -> None:
async with self._connect_lock:
if self._should_reconnect():
_LOGGER.debug('Closing stale connection and reconnecting')
await self._connection.close()
while not self._connection.connected:
_LOGGER.debug('Attempting to connect')
try:
await self._connection.connect()
except (ConnectionRefusedError, OSError) as e:
_LOGGER.warning('Failed to connect: %s', e)
await sleep(self._backoff.duration())
self._last_recv = datetime.datetime.now()
self._backoff.reset()
async def send_command(self, command: str) -> None:
packet = Packet(
address=0x00,
seq=0x00,
command=CommandType.USER_INTERFACE,
data=command,
timestamp=None,
)
await self._connect()
payload = packet.encode() + '\r\n'
_LOGGER.debug('Sending payload: %s', repr(payload))
return await self._connection.write(payload.encode('ascii'))
async def _recv_loop(self) -> None:
while not self._closed:
await self._connect()
while True:
data = await self._connection.read()
if data is None:
_LOGGER.debug("Received None data from connection.read()")
break
self._last_recv = datetime.datetime.now()
try:
decoded_data = data.decode('utf-8').strip()
except UnicodeDecodeError:
_LOGGER.warning("Failed to decode data", exc_info=True)
continue
_LOGGER.debug("Decoding data: '%s'", decoded_data)
if len(decoded_data) > 0:
try:
pkt = Packet.decode(decoded_data)
event = BaseEvent.decode(pkt)
except Exception:
_LOGGER.warning("Failed to decode packet", exc_info=True)
continue
if self._on_event_received is not None:
self._on_event_received(event)
self.alarm.handle_event(event)
def _should_reconnect(self) -> bool:
now = datetime.datetime.now()
return self._last_recv is not None and self._last_recv < now - datetime.timedelta(
seconds=self._update_interval + 30)
async def _update_loop(self) -> None:
"""Schedule a state update to keep the connection alive"""
await asyncio.sleep(self._update_interval)
while not self._closed:
await self.update()
await asyncio.sleep(self._update_interval)
async def keepalive(self) -> None:
await asyncio.gather(
self._recv_loop(),
self._update_loop(),
)
async def close(self) -> None:
self._closed = True
await self._connection.close()
def on_state_change(self, f: Callable[[ArmingState], None]
) -> Callable[[ArmingState], None]:
self.alarm.on_state_change(f)
return f
def on_zone_change(self, f: Callable[[int, bool], None]
) -> Callable[[int, bool], None]:
self.alarm.on_zone_change(f)
return f
def on_event_received(self, f: Callable[[BaseEvent], None]
) -> Callable[[BaseEvent], None]:
self._on_event_received = f
return f