class TaskManager:
"""
Task Manager
"""
def __init__(self, name, generation_id, channel_dict, global_config):
"""
:type name: :obj:`str`
:arg name: Name of channel corresponding to this task manager
:type generation_id: :obj:`int`
:arg generation_id: Task Manager generation id provided by caller
:type channel_dict: :obj:`dict`
:arg channel_dict: channel configuration
:type global_config: :obj:`dict`
:arg global_config: global configuration
"""
self.id = str(uuid.uuid4()).upper()
self.dataspace = dataspace.DataSpace(global_config)
self.data_block_t0 = datablock.DataBlock(
self.dataspace, name, self.id,
generation_id) # my current data block
self.name = name
self.channel = Channel(channel_dict)
self.state = ProcessingState()
self.loglevel = multiprocessing.Value('i', logging.WARNING)
self.lock = threading.Lock()
# The rest of this function will go away once the source-proxy
# has been reimplemented.
for src_worker in self.channel.sources.values():
src_worker.worker.post_create(global_config)
def wait_for_all(self, events_done):
"""
Wait for all sources or transforms to finish
:type events_done: :obj:`list`
:arg events_done: list of events to wait for
"""
logging.getLogger().info('Waiting for all tasks to run')
try:
while not all([e.is_set() for e in events_done]):
time.sleep(1)
if self.state.should_stop():
break
for e in events_done:
e.clear()
except Exception: # pragma: no cover
logging.getLogger().exception("Unexpected error!")
raise
def wait_for_any(self, events_done):
"""
Wait for any sources to finish
:type events_done: :obj:`list`
:arg events_done: list of events to wait for
"""
try:
while not any([e.is_set() for e in events_done]):
time.sleep(1)
if self.state.should_stop():
break
for e in events_done:
if e.is_set():
e.clear()
except Exception: # pragma: no cover
logging.getLogger().exception("Unexpected error!")
raise
def run(self):
"""
Task Manager main loop
"""
logging.getLogger().setLevel(self.loglevel.value)
logging.getLogger().info(f'Starting Task Manager {self.id}')
done_events, source_threads = self.start_sources(self.data_block_t0)
# This is a boot phase
# Wait until all sources run at least one time
self.wait_for_all(done_events)
logging.getLogger().info('All sources finished')
if not self.state.has_value(State.BOOT):
for thread in source_threads:
thread.join()
logging.getLogger().error(
f'Error occured during initial run of sources. Task Manager {self.name} exits'
)
return
while not self.state.should_stop():
try:
self.decision_cycle()
if not self.state.should_stop():
# the last decision_cycle completed without error
self.state.set(State.STEADY)
self.wait_for_any(done_events)
except Exception: # pragma: no cover
logging.getLogger().exception(
"Exception in the task manager main loop")
logging.getLogger().error(
'Error occured. Task Manager %s exits with state %s',
self.id, self.get_state_name())
break
else:
# we did not use 'break' to exit the loop
logging.getLogger().info(
f'Task Manager {self.id} received stop signal and exits')
for source in self.channel.sources.values():
source.stop_running.set()
for transform in self.channel.transforms.values():
transform.stop_running.set()
# the run_transform function is performing our .join()
# for these threads.
for thread in source_threads:
thread.join()
def get_state_value(self):
return self.state.get().value
def get_state(self):
return self.state.get()
def get_state_name(self):
return self.get_state().name
def get_produces(self):
# FIXME: What happens if a transform and source have the same name?
produces = {}
for name, mod in self.channel.sources.items():
produces[name] = list(mod.worker._produces.keys())
for name, mod in self.channel.transforms.items():
produces[name] = list(mod.worker._produces.keys())
return produces
def get_consumes(self):
# FIXME: What happens if a transform and publisher have the same name?
consumes = {}
for name, mod in self.channel.transforms.items():
consumes[name] = list(mod.worker._consumes.keys())
for name, mod in self.channel.publishers.items():
consumes[name] = list(mod.worker._consumes.keys())
return consumes
def set_loglevel_value(self, log_level):
"""Assumes log_level is a string corresponding to the supported logging-module levels."""
with self.loglevel.get_lock():
# Convert from string to int form using technique
# suggested by logging module
self.loglevel.value = getattr(logging, log_level)
def get_loglevel(self):
with self.loglevel.get_lock():
return self.loglevel.value
def set_to_shutdown(self):
self.state.set(State.SHUTTINGDOWN)
logging.getLogger("decision_engine").debug(
'Shutting down. Will call '
'shutdown on all publishers')
for publisher_worker in self.channel.publishers.values():
publisher_worker.worker.shutdown()
self.state.set(State.SHUTDOWN)
def take_offline(self, current_data_block):
"""
offline and stop task manager
"""
self.state.set(State.OFFLINE)
# invalidate data block
# not implemented yet
def data_block_put(self, data, header, data_block):
"""
Put data into data block
:type data: :obj:`dict`
:arg data: key, value pairs
:type header: :obj:`~datablock.Header`
:arg header: data header
:type data_block: :obj:`~datablock.DataBlock`
:arg data_block: data block
"""
if not isinstance(data, dict):
logging.getLogger().error(
f'data_block put expecting {dict} type, got {type(data)}')
return
logging.getLogger().debug(f'data_block_put {data}')
with data_block.lock:
metadata = datablock.Metadata(
data_block.taskmanager_id,
state='END_CYCLE',
generation_id=data_block.generation_id)
for key, product in data.items():
data_block.put(key, product, header, metadata=metadata)
def do_backup(self):
"""
Duplicate current data block and return its copy
:rtype: :obj:`~datablock.DataBlock`
"""
with self.lock:
data_block = self.data_block_t0.duplicate()
logging.getLogger().debug(f'Duplicated block {data_block}')
return data_block
def decision_cycle(self):
"""
Decision cycle to be run periodically (by trigger)
"""
data_block_t1 = self.do_backup()
try:
self.run_transforms(data_block_t1)
except Exception: # pragma: no cover
logging.getLogger().exception(
"error in decision cycle(transforms) ")
# We do not call 'take_offline' here because it has
# already been called in the run_transform code on
# operating on a separate thread.
actions_facts = []
try:
actions_facts = self.run_logic_engine(data_block_t1)
logging.getLogger().info('ran all logic engines')
except Exception: # pragma: no cover
logging.getLogger().exception(
"error in decision cycle(logic engine) ")
self.take_offline(data_block_t1)
for a_f in actions_facts:
try:
self.run_publishers(a_f['actions'], a_f['newfacts'],
data_block_t1)
except Exception: # pragma: no cover
logging.getLogger().exception(
"error in decision cycle(publishers) ")
self.take_offline(data_block_t1)
def run_source(self, src):
"""
Get the data from source
and put it into the data block
:type src: :obj:`~Worker`
:arg src: source Worker
"""
# If task manager is in offline state, do not keep executing sources.
while not self.state.should_stop():
try:
logging.getLogger().info(f'Src {src.name} calling acquire')
data = src.worker.acquire()
Module.verify_products(src.worker, data)
logging.getLogger().info(f'Src {src.name} acquire retuned')
logging.getLogger().info(f'Src {src.name} filling header')
if data:
t = time.time()
header = datablock.Header(
self.data_block_t0.taskmanager_id,
create_time=t,
creator=src.module)
logging.getLogger().info(f'Src {src.name} header done')
self.data_block_put(data, header, self.data_block_t0)
logging.getLogger().info(
f'Src {src.name} data block put done')
else:
logging.getLogger().warning(
f'Src {src.name} acquire retuned no data')
src.run_counter += 1
src.data_updated.set()
logging.getLogger().info(
f'Src {src.name} {src.module} finished cycle')
except Exception:
logging.getLogger().exception(
f'Exception running source {src.name} ')
self.take_offline(self.data_block_t0)
if src.schedule > 0:
s = src.stop_running.wait(src.schedule)
if s:
logging.getLogger().info(
f'received stop_running signal for {src.name}')
break
else:
logging.getLogger().info(f'source {src.name} runs only once')
break
logging.getLogger().info(f'stopped {src.name}')
def start_sources(self, data_block=None):
"""
Start sources, each in a separate thread
:type data_block: :obj:`~datablock.DataBlock`
:arg data_block: data block
"""
event_list = []
source_threads = []
for key, source in self.channel.sources.items():
logging.getLogger().info(f'starting loop for {key}')
event_list.append(source.data_updated)
thread = threading.Thread(target=self.run_source,
name=source.name,
args=(source, ))
source_threads.append(thread)
# Cannot catch exception from function called in separate thread
thread.start()
return (event_list, source_threads)
def run_transforms(self, data_block=None):
"""
Run transforms.
So far in main process.
:type data_block: :obj:`~datablock.DataBlock`
:arg data_block: data block
"""
logging.getLogger().info('run_transforms')
logging.getLogger().debug(f'run_transforms: data block {data_block}')
if not data_block:
return
event_list = []
threads = []
for key, transform in self.channel.transforms.items():
logging.getLogger().info(f'starting transform {key}')
event_list.append(transform.data_updated)
thread = threading.Thread(target=self.run_transform,
name=transform.name,
args=(transform, data_block))
threads.append(thread)
# Cannot catch exception from function called in separate thread
thread.start()
self.wait_for_all(event_list)
for thread in threads:
thread.join()
logging.getLogger().info('all transforms finished')
def run_transform(self, transform, data_block):
"""
Run a transform
:type transform: :obj:`~Worker`
:arg transform: source Worker
:type data_block: :obj:`~datablock.DataBlock`
:arg data_block: data block
"""
data_to = self.channel.task_manager.get('data_TO', _TRANSFORMS_TO)
consume_keys = list(transform.worker._consumes.keys())
logging.getLogger().info(
'transform: %s expected keys: %s provided keys: %s',
transform.name, consume_keys, list(data_block.keys()))
loop_counter = 0
while not self.state.should_stop():
# Check if data is ready
if set(consume_keys) <= set(data_block.keys()):
# data is ready - may run transform()
logging.getLogger().info('run transform %s', transform.name)
try:
with data_block.lock:
data = transform.worker.transform(data_block)
logging.getLogger().debug(f'transform returned {data}')
t = time.time()
header = datablock.Header(data_block.taskmanager_id,
create_time=t,
creator=transform.name)
self.data_block_put(data, header, data_block)
logging.getLogger().info('transform put data')
except Exception: # pragma: no cover
logging.getLogger().exception(
f'exception from transform {transform.name} ')
self.take_offline(data_block)
break
s = transform.stop_running.wait(1)
if s:
logging.getLogger().info(
f'received stop_running signal for {transform.name}')
break
loop_counter += 1
if loop_counter == data_to:
logging.getLogger().info(
f'transform {transform.name} did not get consumes data'
f'in {data_to} seconds. Exiting')
break
transform.data_updated.set()
def run_logic_engine(self, data_block=None):
"""
Run Logic Engine.
:type data_block: :obj:`~datablock.DataBlock`
:arg data_block: data block
"""
le_list = []
if not data_block:
return
try:
for le in self.channel.le_s:
logging.getLogger().info('run logic engine %s',
self.channel.le_s[le].name)
logging.getLogger().debug('run logic engine %s %s',
self.channel.le_s[le].name,
data_block)
rc = self.channel.le_s[le].worker.evaluate(data_block)
le_list.append(rc)
logging.getLogger().info('run logic engine %s done',
self.channel.le_s[le].name)
logging.getLogger().info(
'logic engine %s generated newfacts: %s',
self.channel.le_s[le].name,
rc['newfacts'].to_dict(orient='records'))
logging.getLogger().info(
'logic engine %s generated actions: %s',
self.channel.le_s[le].name, rc['actions'])
# Add new facts to the datablock
# Add empty dataframe if nothing is available
if le_list:
all_facts = pandas.concat([i['newfacts'] for i in le_list],
ignore_index=True)
else:
logging.getLogger().info(
'Logic engine(s) did not return any new facts')
all_facts = pandas.DataFrame()
data = {'de_logicengine_facts': all_facts}
t = time.time()
header = datablock.Header(data_block.taskmanager_id,
create_time=t,
creator='logicengine')
self.data_block_put(data, header, data_block)
except Exception: # pragma: no cover
logging.getLogger().exception("Unexpected error!")
raise
else:
return le_list
def run_publishers(self, actions, facts, data_block=None):
"""
Run Publishers in main process.
:type data_block: :obj:`~datablock.DataBlock`
:arg data_block: data block
"""
if not data_block:
return
try:
log = logging.getLogger()
for action_list in actions.values():
for action in action_list:
publisher = self.channel.publishers[action]
name = publisher.name
log.info(f'run publisher {name}')
log.debug(f'run publisher {name} {data_block}')
try:
publisher.worker.publish(data_block)
except KeyError as e:
if self.state.should_stop():
log.warning(
f"TaskManager stopping, ignore exception {name} publish() call: {e}"
)
continue
else:
raise
except Exception: # pragma: no cover
logging.getLogger().exception("Unexpected error!")
raise
def test_should_stop():
state = ProcessingState()
for set_to in STOPPING_CONDITIONS:
state.set(set_to)
assert state.should_stop()
class Reaper:
"""
Reaper provides functionality of periodic deletion
of data older than retention_interval in days
The class attributes indicate a rational set of defaults
that shouldn't be altered by user configuration.
"""
MIN_RETENTION_INTERVAL_DAYS = 7
MIN_SECONDS_BETWEEN_RUNS = 2 * 60 * 59
def __init__(self, config):
"""
:type config: :obj:`dict`
:arg config: Configuration dictionary
"""
# Validate configuration
self.logger = structlog.getLogger(LOGGERNAME)
self.logger = self.logger.bind(module=__name__.split(".")[-1],
channel=DELOGGER_CHANNEL_NAME)
self.logger.debug("Initializing a reaper")
# since we must validate this, have a private store space
self.__retention_interval = self.MIN_RETENTION_INTERVAL_DAYS
self.__seconds_between_runs = self.MIN_SECONDS_BETWEEN_RUNS
if not config.get("dataspace"):
self.logger.exception("Error in initializing Reaper!")
raise dataspace.DataSpaceConfigurationError(
"Invalid dataspace configuration: "
"dataspace key not found in dictionary")
elif not isinstance(config.get("dataspace"), dict):
self.logger.exception("Error in initializing Reaper!")
raise dataspace.DataSpaceConfigurationError(
"Invalid dataspace configuration: "
"dataspace key must correspond to a dictionary")
try:
db_driver_name = config["dataspace"]["datasource"]["name"]
db_driver_module = config["dataspace"]["datasource"]["module"]
db_driver_config = config["dataspace"]["datasource"]["config"]
self.retention_interval = config["dataspace"][
"retention_interval_in_days"]
self.seconds_between_runs = config["dataspace"].get(
"reaper_run_interval", 24 * 60 * 60)
except KeyError:
self.logger.exception("Error in initializing Reaper!")
raise dataspace.DataSpaceConfigurationError(
"Invalid dataspace configuration")
self.datasource = dataspace.DataSourceLoader().create_datasource(
db_driver_module, db_driver_name, db_driver_config)
self.thread = None
self.state = ProcessingState()
@property
def retention_interval(self):
"""We have data constraints, so use a property to track"""
return self.__retention_interval
@retention_interval.setter
def retention_interval(self, value):
if int(value) < self.MIN_RETENTION_INTERVAL_DAYS:
self.logger.exception("Error in initializing Reaper!")
raise ValueError(
f"For safety the data retention interval has to be greater than {self.MIN_RETENTION_INTERVAL_DAYS} days"
)
self.logger.debug(f"Reaper setting retention_interval to {value}.")
self.__retention_interval = int(value)
@property
def seconds_between_runs(self):
"""We have data constraints, so use a property to track"""
return self.__seconds_between_runs
@seconds_between_runs.setter
def seconds_between_runs(self, value):
if int(value) < self.MIN_SECONDS_BETWEEN_RUNS:
self.logger.exception("Error in initializing Reaper!")
raise ValueError(
f"For performance the time between runs to be greater than {self.MIN_SECONDS_BETWEEN_RUNS} seconds"
)
self.logger.debug(f"Reaper setting seconds_between_runs to {value}.")
self.__seconds_between_runs = int(value)
def reap(self):
"""
Actually spawn the query to delete the old records.
Lock the state as this task doesn't have a cancel option.
"""
with self.state.lock:
if self.state.should_stop():
return
self.logger.info("Reaper.reap() started.")
self.state.set(State.ACTIVE)
self.datasource.delete_data_older_than(self.retention_interval)
self.state.set(State.STEADY)
self.logger.info("Reaper.reap() completed.")
def _reaper_loop(self, delay):
"""
The thread actually runs this.
"""
self.logger.debug("Reaper thread started.")
between_runs = delay
while not self.state.should_stop():
try:
with self.state.lock:
if not self.state.should_stop():
# The start function will block until the state is changed from BOOT
# If we are signaled to stop, don't override that state
self.state.set(State.IDLE)
self.logger.debug(
f"Reaper waiting {between_runs} seconds or for a stop.")
self.state.wait_until(STOPPING_CONDITIONS,
timeout=between_runs)
# in stop state, end wait and get out of the loop ASAP
if self.state.should_stop():
self.logger.debug(
f"Reaper recieved a stop event: {self.state.get()}.")
else:
self.reap()
# after waiting the initial delay time
# use the self.seconds_between_runs as the delay
if between_runs != self.seconds_between_runs:
between_runs = self.seconds_between_runs
except Exception: # pragma: no cover
self.state.set(State.ERROR)
self.logger.exception(
f"Reaper.reap() failed: {self.state.get()}.")
break
else:
# we did not use 'break' to exit the loop
self.state.set(State.SHUTDOWN)
self.logger.info("Reaper shutdown cleanly.")
def start(self, delay=0):
"""
Start thread with an optional delay to start the thread in X seconds
"""
if self.state.should_stop() and not self.state.inactive():
self.logger.debug(
f"Reaper asked to start during stop: {self.state.get()}.")
if isinstance(self.thread,
threading.Thread) and self.thread.is_alive():
try:
# threads need to end, else we orphan one and make a new thread
raise RuntimeError(
"Reaper asked to start, but it is running already.")
except RuntimeError as __e:
self.logger.exception(__e)
raise
try:
# each invocation must be a new thread
with self.state.lock:
self.state.set(State.BOOT)
self.thread = threading.Thread(group=None,
target=self._reaper_loop,
args=(delay, ),
name="Reaper_loop_thread")
self.thread.start()
except Exception: # pragma: no cover
self.logger.exception("Reaper loop thread not started")
self.state.wait_while(State.BOOT)
def stop(self):
"""
Try to stop the reaper, will block if the reaper cannot be interupted.
"""
if isinstance(self.thread, threading.Thread):
if self.thread.is_alive():
with self.state.lock:
if not self.state.should_stop():
self.logger.debug(
"Sending reaper State.SHUTTINGDOWN signal")
self.state.set(State.SHUTTINGDOWN)
if self.state.has_value(State.SHUTTINGDOWN):
self.state.wait_while(State.SHUTTINGDOWN)
self.logger.info(f"Reaper shutdown : {self.state.get()}.")
else:
self.logger.debug(
f"Reaper tried to stop but is stopped already: {self.state.get()}."
)
else:
self.logger.debug("Reaper tried to stop but was never started")
def __repr__(self): # pragma: no cover
return (
f"Reaper, retention interval {self.retention_interval,} days, "
f"between runs wait {self.seconds_between_runs} seconds, state {self.state.get()}"
)
class TaskManager:
"""
Task manager
"""
def __init__(self, name, workers, dataspace, expected_products, exchange,
broker_url, queue_info):
"""
:type name: :obj:`str`
:arg name: Name of channel corresponding to this task manager
:type generation_id: :obj:`int`
:arg generation_id: Task manager generation id provided by caller
:type channel_dict: :obj:`dict`
:arg channel_dict: channel configuration
:type global_config: :obj:`dict`
:arg global_config: global configuration
"""
self.name = name
self.state = ProcessingState()
self.loglevel = multiprocessing.Value("i", logging.WARNING)
self.id = str(uuid.uuid4()).upper()
self.data_block_t0 = datablock.DataBlock(dataspace, name, self.id,
1) # my current data block
self.logger = structlog.getLogger(CHANNELLOGGERNAME)
self.logger = self.logger.bind(module=__name__.split(".")[-1],
channel=self.name)
# The DE owns the sources
self.source_workers = workers["sources"]
self.transform_workers = workers["transforms"]
self.logic_engine = workers["logic_engine"]
self.publisher_workers = workers["publishers"]
self.exchange = exchange
self.broker_url = broker_url
self.connection = Connection(self.broker_url)
self.source_product_cache = SourceProductCache(expected_products,
self.logger)
self.queue_info = queue_info
self.routing_keys = [info[1] for info in self.queue_info]
def get_state_value(self):
return self.state.get_state_value()
def get_state(self):
return self.state.get()
def get_state_name(self):
return self.get_state().name
def set_loglevel_value(self, log_level):
"""Assumes log_level is a string corresponding to the supported logging-module levels."""
with self.loglevel.get_lock():
# Convert from string to int form using technique
# suggested by logging module
self.loglevel.value = getattr(logging, log_level)
def get_loglevel(self):
with self.loglevel.get_lock():
return self.loglevel.value
def take_offline(self):
"""
Adjust status to stop the decision cycles and bring the task manager offline
"""
self.state.set(State.SHUTTINGDOWN)
def run_cycle(self, messages):
for name, msg_body in messages.items():
module_spec = msg_body["source_module"]
module_name = msg_body["class_name"]
data = msg_body["data"]
assert data
if data is State.SHUTDOWN:
self.logger.info(
f"Channel {self.name} has received shutdown flag from source {module_spec} (class {module_name})"
)
self.take_offline()
return
assert isinstance(data, dict)
self.logger.debug(f"Data received from {module_name}: {data}")
data_to_process = self.source_product_cache.update(data)
if data_to_process is None:
return
header = datablock.Header(self.data_block_t0.taskmanager_id,
create_time=time.time(),
creator=module_spec)
self.logger.info(f"Source {module_name} header done")
try:
self.data_block_put(data_to_process, header,
self.data_block_t0)
except Exception: # pragma: no cover
self.logger.exception(
"Exception inserting data into the data block.")
self.logger.error(
f"Could not insert data from the following message\n{msg_body}"
)
return
self.logger.info(f"Source {module_name} data block put done")
try:
self.decision_cycle()
with self.state.lock:
if not self.state.should_stop():
# If we are signaled to stop, don't override that state
# otherwise the last decision_cycle completed without error
self.state.set(State.STEADY)
CHANNEL_STATE_GAUGE.labels(self.name).set(
self.get_state_value())
except Exception: # pragma: no cover
self.logger.exception("Exception in the task manager main loop")
self.logger.error(
"Error occured. Task manager %s exits with state %s", self.id,
self.get_state_name())
def run_cycles(self):
"""
Task manager main loop
"""
self.logger.setLevel(self.loglevel.value)
self.logger.info(f"Starting task manager {self.id}")
queues = []
for queue_name, key in self.queue_info:
self.logger.debug(
f"Creating queue {queue_name} with routing key {key}")
queues.append(
Queue(
queue_name,
exchange=self.exchange,
routing_key=key,
auto_delete=True,
))
with LatestMessages(queues, self.broker_url) as messages:
self.state.set(State.ACTIVE)
self.logger.debug(f"Channel {self.name} is listening for events")
while not self.state.should_stop():
msgs = messages.consume()
if msgs:
self.run_cycle(msgs)
self.logger.info(
f"Task manager {self.id} received stop signal and is shutting down"
)
self.state.set(State.SHUTTINGDOWN)
CHANNEL_STATE_GAUGE.labels(self.name).set(self.get_state_value())
self.logger.debug(
"Shutting down. Will call shutdown on all publishers")
for worker in self.publisher_workers.values():
worker.module_instance.shutdown()
self.state.set(State.OFFLINE)
CHANNEL_STATE_GAUGE.labels(self.name).set(self.get_state_value())
def get_produces(self):
# FIXME: What happens if a transform and source have the same name?
produces = {}
for name, worker in self.source_workers.items():
produces[name] = list(worker.module_instance._produces.keys())
for name, worker in self.transform_workers.items():
produces[name] = list(worker.module_instance._produces.keys())
return produces
def get_consumes(self):
# FIXME: What happens if a transform and publisher have the same name?
consumes = {}
for name, worker in self.transform_workers.items():
consumes[name] = list(worker.module_instance._consumes.keys())
for name, worker in self.publisher_workers.items():
consumes[name] = list(worker.module_instance._consumes.keys())
return consumes
def data_block_put(self, data, header, data_block):
"""
Put data into data block
:type data: :obj:`dict`
:arg data: key, value pairs
:type header: :obj:`~datablock.Header`
:arg header: data header
:type data_block: :obj:`~datablock.DataBlock`
:arg data_block: data block
"""
if not isinstance(data, dict):
self.logger.error(
f"data_block put expecting {dict} type, got {type(data)}")
return
self.logger.debug(f"data_block_put {data}")
with data_block.lock:
metadata = datablock.Metadata(
data_block.taskmanager_id,
state="END_CYCLE",
generation_id=data_block.generation_id)
for key, product in data.items():
data_block.put(key, product, header, metadata=metadata)
def decision_cycle(self):
"""
Decision cycle to be run periodically (by trigger)
"""
data_block_t1 = self.data_block_t0.duplicate()
self.logger.debug(f"Duplicated block {self.data_block_t0}")
try:
self.run_transforms(data_block_t1)
except Exception: # pragma: no cover
self.logger.exception("Error in decision cycle(transforms) ")
# We do not call 'take_offline' here because it has
# already been called during run_transform.
actions = None
try:
actions = self.run_logic_engine(data_block_t1)
self.logger.info("ran all logic engines")
except Exception: # pragma: no cover
self.logger.exception("Error in decision cycle(logic engine) ")
self.take_offline()
if actions is None:
return
try:
self.run_publishers(actions, data_block_t1)
except Exception: # pragma: no cover
self.logger.exception("Error in decision cycle(publishers) ")
self.take_offline()
def run_transforms(self, data_block=None):
"""
Run transforms.
So far in main process.
:type data_block: :obj:`~datablock.DataBlock`
:arg data_block: data block
"""
self.logger.info("run_transforms")
self.logger.debug(f"run_transforms: data block {data_block}")
if not data_block:
return
for key, worker in self.transform_workers.items():
self.logger.info(f"starting transform {key}")
self.run_transform(worker, data_block)
self.logger.info("all transforms finished")
def run_transform(self, worker, data_block):
"""
Run a transform
:type worker: :obj:`~Worker`
:arg worker: Transform worker
:type data_block: :obj:`~datablock.DataBlock`
:arg data_block: data block
"""
consume_keys = list(worker.module_instance._consumes.keys())
self.logger.info("transform: %s expected keys: %s provided keys: %s",
worker.name, consume_keys, list(data_block.keys()))
self.logger.info("Run transform %s", worker.name)
try:
with TRANSFORM_RUN_HISTOGRAM.labels(self.name, worker.name).time():
data = worker.module_instance.transform(data_block)
self.logger.debug(f"transform returned {data}")
header = datablock.Header(data_block.taskmanager_id,
create_time=time.time(),
creator=worker.name)
self.data_block_put(data, header, data_block)
self.logger.info("transform put data")
TRANSFORM_RUN_GAUGE.labels(self.name,
worker.name).set_to_current_time()
except Exception: # pragma: no cover
self.logger.exception(f"exception from transform {worker.name} ")
self.take_offline()
def run_logic_engine(self, data_block):
"""
Run Logic Engine.
:type data_block: :obj:`~datablock.DataBlock`
:arg data_block: data block
"""
if not data_block:
raise RuntimeError(
"Cannot run logic engine on data block that is 'None'.")
if self.logic_engine is None:
self.logger.info("No logic engine to run")
return None
try:
actions = new_facts = None
with LOGICENGINE_RUN_HISTOGRAM.labels(
self.name, self.logic_engine.name).time():
self.logger.info("Run logic engine %s", self.logic_engine.name)
self.logger.debug("Run logic engine %s %s",
self.logic_engine.name, data_block)
actions, new_facts = self.logic_engine.module_instance.evaluate(
data_block)
self.logger.info("Run logic engine %s done",
self.logic_engine.name)
LOGICENGINE_RUN_GAUGE.labels(
self.name, self.logic_engine.name).set_to_current_time()
self.logger.info(
"Logic engine %s generated newfacts: %s",
self.logic_engine.name,
new_facts.to_dict(orient="records"),
)
self.logger.info("Logic engine %s generated actions: %s",
self.logic_engine.name, actions)
data = {"de_logicengine_facts": new_facts}
header = datablock.Header(data_block.taskmanager_id,
create_time=time.time(),
creator="logicengine")
self.data_block_put(data, header, data_block)
return actions
except Exception: # pragma: no cover
self.logger.exception("Unexpected logic engine error!")
raise
def run_publishers(self, actions, data_block):
"""
Run Publishers in main process.
:type data_block: :obj:`~datablock.DataBlock`
:arg data_block: data block
"""
if not data_block:
return
try:
for action_list in actions.values():
for action in action_list:
worker = self.publisher_workers[action]
name = worker.name
self.logger.info(f"Run publisher {name}")
self.logger.debug(f"Run publisher {name} {data_block}")
try:
with PUBLISHER_RUN_HISTOGRAM.labels(self.name,
name).time():
worker.module_instance.publish(data_block)
PUBLISHER_RUN_GAUGE.labels(
self.name, name).set_to_current_time()
except KeyError as e:
if self.state.should_stop():
self.logger.warning(
f"TaskManager stopping, ignore exception {name} publish() call: {e}"
)
continue
raise # pragma: no cover
except Exception: # pragma: no cover
self.logger.exception("Unexpected error!")
raise