def start_reactor(
appname: str,
soft_file_limit: int,
gc_thresholds: Optional[Tuple[int, int, int]],
pid_file: Optional[str],
daemonize: bool,
print_pidfile: bool,
logger: logging.Logger,
run_command: Callable[[], None] = reactor.run,
) -> None:
"""Run the reactor in the main process
Daemonizes if necessary, and then configures some resources, before starting
the reactor
Args:
appname: application name which will be sent to syslog
soft_file_limit:
gc_thresholds:
pid_file: name of pid file to write to if daemonize is True
daemonize: true to run the reactor in a background process
print_pidfile: whether to print the pid file, if daemonize is True
logger: logger instance to pass to Daemonize
run_command: callable that actually runs the reactor
"""
def run() -> None:
logger.info("Running")
setup_jemalloc_stats()
change_resource_limit(soft_file_limit)
if gc_thresholds:
gc.set_threshold(*gc_thresholds)
install_gc_manager()
run_command()
# make sure that we run the reactor with the sentinel log context,
# otherwise other PreserveLoggingContext instances will get confused
# and complain when they see the logcontext arbitrarily swapping
# between the sentinel and `run` logcontexts.
#
# We also need to drop the logcontext before forking if we're daemonizing,
# otherwise the cputime metrics get confused about the per-thread resource usage
# appearing to go backwards.
with PreserveLoggingContext():
if daemonize:
assert pid_file is not None
if print_pidfile:
print(pid_file)
daemonize_process(pid_file, logger)
run()
def start_reactor(
appname,
soft_file_limit,
gc_thresholds,
pid_file,
daemonize,
print_pidfile,
logger,
run_command=reactor.run,
):
""" Run the reactor in the main process
Daemonizes if necessary, and then configures some resources, before starting
the reactor
Args:
appname (str): application name which will be sent to syslog
soft_file_limit (int):
gc_thresholds:
pid_file (str): name of pid file to write to if daemonize is True
daemonize (bool): true to run the reactor in a background process
print_pidfile (bool): whether to print the pid file, if daemonize is True
logger (logging.Logger): logger instance to pass to Daemonize
run_command (Callable[]): callable that actually runs the reactor
"""
install_dns_limiter(reactor)
def run():
logger.info("Running")
change_resource_limit(soft_file_limit)
if gc_thresholds:
gc.set_threshold(*gc_thresholds)
run_command()
# make sure that we run the reactor with the sentinel log context,
# otherwise other PreserveLoggingContext instances will get confused
# and complain when they see the logcontext arbitrarily swapping
# between the sentinel and `run` logcontexts.
#
# We also need to drop the logcontext before forking if we're daemonizing,
# otherwise the cputime metrics get confused about the per-thread resource usage
# appearing to go backwards.
with PreserveLoggingContext():
if daemonize:
if print_pidfile:
print(pid_file)
daemonize_process(pid_file, logger)
run()
