def main() -> None:
log.info("Cloudkeeper initializing")
# Try to run in a new process group and
# ignore if not possible for whatever reason
try:
os.setpgid(0, 0)
except:
pass
cloudkeeper.signal.parent_pid = os.getpid()
# Add cli args
arg_parser = get_arg_parser()
logging.add_args(arg_parser)
Cli.add_args(arg_parser)
WebServer.add_args(arg_parser)
Scheduler.add_args(arg_parser)
Processor.add_args(arg_parser)
Cleaner.add_args(arg_parser)
PluginLoader.add_args(arg_parser)
GraphContainer.add_args(arg_parser)
event_add_args(arg_parser)
# Find cloudkeeper Plugins in the cloudkeeper.plugins module
plugin_loader = PluginLoader()
plugin_loader.add_plugin_args(arg_parser)
# At this point the CLI, all Plugins as well as the WebServer have
# added their args to the arg parser
arg_parser.parse_args()
# Handle Ctrl+c and other means of termination/shutdown
cloudkeeper.signal.initializer()
add_event_listener(EventType.SHUTDOWN, shutdown, blocking=False)
# Try to increase nofile and nproc limits
increase_limits()
# We're using a GraphContainer() to contain the graph which gets replaced
# at runtime. This way we're not losing the context in other places like
# the webserver when the graph gets reassigned.
graph_container = GraphContainer()
# GraphCollector() is a custom Prometheus Collector that
# takes a graph and yields its metrics
graph_collector = GraphCollector(graph_container)
REGISTRY.register(graph_collector)
# Scheduler() starts an APScheduler instance
scheduler = Scheduler(graph_container)
scheduler.daemon = True
scheduler.start()
# Cli() is the CLI Thread
cli = Cli(graph_container, scheduler)
cli.daemon = True
cli.start()
# WebServer is handed the graph container context so it can e.g. produce graphml
# from it. The webserver serves Prometheus Metrics as well as different graph
# endpoints.
web_server = WebServer(graph_container)
web_server.daemon = True
web_server.start()
for Plugin in plugin_loader.plugins(PluginType.PERSISTENT):
try:
log.debug(f"Starting persistent Plugin {Plugin}")
plugin = Plugin()
plugin.daemon = True
plugin.start()
except Exception as e:
log.exception(f"Caught unhandled persistent Plugin exception {e}")
processor = Processor(graph_container,
plugin_loader.plugins(PluginType.COLLECTOR))
processor.daemon = True
processor.start()
# Dispatch the STARTUP event
dispatch_event(Event(EventType.STARTUP))
# We wait for the shutdown Event to be set() and then end the program
# While doing so we print the list of active threads once per 15 minutes
while not shutdown_event.is_set():
log_stats()
shutdown_event.wait(900)
time.sleep(5)
cloudkeeper.signal.kill_children(cloudkeeper.signal.SIGTERM,
ensure_death=True)
log.info("Shutdown complete")
quit()
def main() -> None:
# Add cli args
arg_parser = get_arg_parser()
Cli.add_args(arg_parser)
WebServer.add_args(arg_parser)
Scheduler.add_args(arg_parser)
Processor.add_args(arg_parser)
Cleaner.add_args(arg_parser)
PluginLoader.add_args(arg_parser)
GraphContainer.add_args(arg_parser)
event_add_args(arg_parser)
# Find cloudkeeper Plugins in the cloudkeeper.plugins module
plugin_loader = PluginLoader()
plugin_loader.add_plugin_args(arg_parser)
# At this point the CLI, all Plugins as well as the WebServer have added their args to the arg parser
arg_parser.parse_args()
# Write log to a file in addition to stdout
if ArgumentParser.args.logfile:
log_formatter = logging.Formatter(log_format)
fh = logging.FileHandler(ArgumentParser.args.logfile)
fh.setFormatter(log_formatter)
logging.getLogger().addHandler(fh)
# Handle Ctrl+c and other means of termination/shutdown
signal_on_parent_exit()
add_event_listener(EventType.SHUTDOWN, shutdown, blocking=False)
signal(SIGINT, signal_handler)
signal(SIGTERM, signal_handler)
signal(SIGUSR1, signal_handler)
# We're using a GraphContainer() to contain the graph which gets replaced at runtime.
# This way we're not losing the context in other places like the webserver when the
# graph gets reassigned.
graph_container = GraphContainer()
# GraphCollector() is a custom Prometheus Collector that
# takes a graph and yields its metrics
graph_collector = GraphCollector(graph_container)
REGISTRY.register(graph_collector)
# Scheduler() starts an APScheduler instance
scheduler = Scheduler(graph_container)
scheduler.daemon = True
scheduler.start()
# Cli() is the CLI Thread
cli = Cli(graph_container, scheduler)
cli.daemon = True
cli.start()
# WebServer is handed the graph container context so it can e.g. produce graphml from it
# The webserver serves Prometheus Metrics as well as different graph endpoints
web_server = WebServer(graph_container)
web_server.daemon = True
web_server.start()
for Plugin in plugin_loader.plugins(PluginType.PERSISTENT):
try:
log.debug(f'Starting persistent Plugin {Plugin}')
plugin = Plugin()
plugin.daemon = True
plugin.start()
except Exception as e:
log.exception(f'Caught unhandled persistent Plugin exception {e}')
collector = Processor(graph_container,
plugin_loader.plugins(PluginType.COLLECTOR))
collector.daemon = True
collector.start()
# Dispatch the STARTUP event
dispatch_event(Event(EventType.STARTUP))
# We wait for the shutdown Event to be set() and then end the program
# While doing so we print the list of active threads once per 15 minutes
while not shutdown_event.is_set():
log_stats()
shutdown_event.wait(900)
time.sleep(5)
log.info('Shutdown complete')
quit()