def construct_notification_log(self) -> None:
"""
Constructs notification log object.
"""
self._notification_log = RecordManagerNotificationLog(
self.event_store.record_manager,
section_size=self.notification_log_section_size,
)
def init_process(self, msg):
self.pipeline_actor = msg.pipeline_actor
self.downstream_actors = msg.downstream_actors
self.pipeline_id = msg.pipeline_id
self.upstream_application_names = msg.upstream_application_names
# Construct the process application class.
process_class = msg.process_application_class
if msg.infrastructure_class:
process_class = process_class.mixin(msg.infrastructure_class)
# Reset the database connection (for Django).
process_class.reset_connection_after_forking()
# Construct the process application.
self.process = process_class(pipeline_id=self.pipeline_id)
assert isinstance(self.process, ProcessApplication)
# Subscribe the slave actor's send_prompt() method.
# - the process application will call publish_prompt()
# and the actor will receive the prompt and send it
# as a message.
subscribe(predicate=self.is_my_prompt, handler=self.send_prompt)
# Close the process application persistence policy.
# - slave actor process application doesn't publish
# events, so we don't need this
self.process.persistence_policy.close()
# Unsubscribe process application's publish_prompt().
# - slave actor process application doesn't publish
# events, so we don't need this
unsubscribe(
predicate=self.process.persistence_policy.is_event,
handler=self.process.publish_prompt_for_events,
)
# Construct and follow upstream notification logs.
for upstream_application_name in self.upstream_application_names:
record_manager = self.process.event_store.record_manager
# assert isinstance(record_manager, ACIDRecordManager), type(record_manager)
notification_log = RecordManagerNotificationLog(
record_manager=record_manager.clone(
application_name=upstream_application_name,
pipeline_id=self.pipeline_id,
),
section_size=self.process.notification_log_section_size,
)
self.process.follow(upstream_application_name, notification_log)
def create_notification_log(self, section_size):
return RecordManagerNotificationLog(self.entity_record_manager,
section_size)
def run(self) -> None:
# Construct process application class.
process_class = self.application_process_class
if not isinstance(process_class,
ApplicationWithConcreteInfrastructure):
if self.infrastructure_class:
process_class = process_class.mixin(self.infrastructure_class)
else:
raise ProgrammingError("infrastructure_class is not set")
# Construct process application object.
self.process: ProcessApplication = process_class(
pipeline_id=self.pipeline_id, setup_table=self.setup_tables)
# Follow upstream notification logs.
for upstream_name in self.upstream_names:
# Obtain a notification log object (local or remote) for the upstream
# process.
if upstream_name == self.process.name:
# Upstream is this process's application,
# so use own notification log.
notification_log = self.process.notification_log
else:
# For a different application, we need to construct a notification
# log with a record manager that has the upstream application ID.
# Currently assumes all applications are using the same database
# and record manager class. If it wasn't the same database,we would
# to use a remote notification log, and upstream would need to provide
# an API from which we can pull. It's not unreasonable to have a fixed
# number of application processes connecting to the same database.
record_manager = self.process.event_store.record_manager
notification_log = RecordManagerNotificationLog(
record_manager=record_manager.clone(
application_name=upstream_name,
# Todo: Check if setting pipeline_id is necessary (it's the
# same?).
pipeline_id=self.pipeline_id,
),
section_size=self.process.notification_log_section_size,
)
# Todo: Support upstream partition IDs different from self.pipeline_id?
# Todo: Support combining partitions. Read from different partitions
# but write to the same partition,
# could be one os process that reads from many logs of the same
# upstream app, or many processes each
# reading one partition with contention writing to the same partition).
# Todo: Support dividing partitions Read from one but write to many.
# Maybe one process per
# upstream partition, round-robin to pick partition for write. Or
# have many processes reading
# with each taking it in turn to skip processing somehow.
# Todo: Dividing partitions would allow a stream to flow at the same
# rate through slower
# process applications.
# Todo: Support merging results from "replicated state machines" -
# could have a command
# logging process that takes client commands and presents them in a
# notification log.
# Then the system could be deployed in different places, running
# independently, receiving
# the same commands, and running the same processes. The command
# logging process could
# be accompanied with a result logging process that reads results
# from replicas as they
# are available. Not sure what to do if replicas return different
# things. If one replica
# goes down, then it could resume by pulling events from another? Not
# sure what to do.
# External systems could be modelled as commands.
# Make the process follow the upstream notification log.
self.process.follow(upstream_name, notification_log)
# Subscribe to broadcast prompts published by the process application.
subscribe(handler=self.broadcast_prompt, predicate=is_prompt_to_pull)
try:
self.loop_on_prompts()
finally:
unsubscribe(handler=self.broadcast_prompt,
predicate=is_prompt_to_pull)
def construct_notification_log(self):
self.notification_log = RecordManagerNotificationLog(
self.event_store.record_manager,
section_size=self.notification_log_section_size
)
