def run(hs):
PROFILE_SYNAPSE = False
if PROFILE_SYNAPSE:
def profile(func):
from cProfile import Profile
from threading import current_thread
def profiled(*args, **kargs):
profile = Profile()
profile.enable()
func(*args, **kargs)
profile.disable()
ident = current_thread().ident
profile.dump_stats("/tmp/%s.%s.%i.pstat" %
(hs.hostname, func.__name__, ident))
return profiled
from twisted.python.threadpool import ThreadPool
ThreadPool._worker = profile(ThreadPool._worker)
reactor.run = profile(reactor.run)
_base.start_reactor(
"synapse-homeserver",
soft_file_limit=hs.config.soft_file_limit,
gc_thresholds=hs.config.gc_thresholds,
pid_file=hs.config.pid_file,
daemonize=hs.config.daemonize,
print_pidfile=hs.config.print_pidfile,
logger=logger,
)
def run(hs: HomeServer) -> None:
_base.start_reactor(
"synapse-homeserver",
soft_file_limit=hs.config.server.soft_file_limit,
gc_thresholds=hs.config.server.gc_thresholds,
pid_file=hs.config.server.pid_file,
daemonize=hs.config.server.daemonize,
print_pidfile=hs.config.server.print_pidfile,
logger=logger,
)
def run(hs):
PROFILE_SYNAPSE = False
if PROFILE_SYNAPSE:
def profile(func):
from cProfile import Profile
from threading import current_thread
def profiled(*args, **kargs):
profile = Profile()
profile.enable()
func(*args, **kargs)
profile.disable()
ident = current_thread().ident
profile.dump_stats("/tmp/%s.%s.%i.pstat" %
(hs.hostname, func.__name__, ident))
return profiled
from twisted.python.threadpool import ThreadPool
ThreadPool._worker = profile(ThreadPool._worker)
reactor.run = profile(reactor.run)
clock = hs.get_clock()
start_time = clock.time()
stats = {}
# Contains the list of processes we will be monitoring
# currently either 0 or 1
stats_process = []
def start_phone_stats_home():
return run_as_background_process("phone_stats_home", phone_stats_home)
@defer.inlineCallbacks
def phone_stats_home():
logger.info("Gathering stats for reporting")
now = int(hs.get_clock().time())
uptime = int(now - start_time)
if uptime < 0:
uptime = 0
stats["homeserver"] = hs.config.server_name
stats["timestamp"] = now
stats["uptime_seconds"] = uptime
version = sys.version_info
stats["python_version"] = "{}.{}.{}".format(version.major,
version.minor,
version.micro)
stats["total_users"] = yield hs.get_datastore().count_all_users()
total_nonbridged_users = yield hs.get_datastore(
).count_nonbridged_users()
stats["total_nonbridged_users"] = total_nonbridged_users
daily_user_type_results = yield hs.get_datastore(
).count_daily_user_type()
for name, count in iteritems(daily_user_type_results):
stats["daily_user_type_" + name] = count
room_count = yield hs.get_datastore().get_room_count()
stats["total_room_count"] = room_count
stats["daily_active_users"] = yield hs.get_datastore(
).count_daily_users()
stats["daily_active_rooms"] = yield hs.get_datastore(
).count_daily_active_rooms()
stats["daily_messages"] = yield hs.get_datastore(
).count_daily_messages()
r30_results = yield hs.get_datastore().count_r30_users()
for name, count in iteritems(r30_results):
stats["r30_users_" + name] = count
daily_sent_messages = yield hs.get_datastore(
).count_daily_sent_messages()
stats["daily_sent_messages"] = daily_sent_messages
stats["cache_factor"] = CACHE_SIZE_FACTOR
stats["event_cache_size"] = hs.config.event_cache_size
if len(stats_process) > 0:
stats["memory_rss"] = 0
stats["cpu_average"] = 0
for process in stats_process:
stats["memory_rss"] += process.memory_info().rss
stats["cpu_average"] += int(process.cpu_percent(interval=None))
stats["database_engine"] = hs.get_datastore().database_engine_name
stats["database_server_version"] = hs.get_datastore(
).get_server_version()
logger.info("Reporting stats to matrix.org: %s" % (stats, ))
try:
yield hs.get_simple_http_client().put_json(
"https://matrix.org/report-usage-stats/push", stats)
except Exception as e:
logger.warn("Error reporting stats: %s", e)
def performance_stats_init():
try:
process = psutil.Process()
# Ensure we can fetch both, and make the initial request for cpu_percent
# so the next request will use this as the initial point.
process.memory_info().rss
process.cpu_percent(interval=None)
logger.info("report_stats can use psutil")
stats_process.append(process)
except (AttributeError):
logger.warning(
"Unable to read memory/cpu stats. Disabling reporting.")
def generate_user_daily_visit_stats():
return run_as_background_process(
"generate_user_daily_visits",
hs.get_datastore().generate_user_daily_visits,
)
# Rather than update on per session basis, batch up the requests.
# If you increase the loop period, the accuracy of user_daily_visits
# table will decrease
clock.looping_call(generate_user_daily_visit_stats, 5 * 60 * 1000)
# monthly active user limiting functionality
def reap_monthly_active_users():
return run_as_background_process(
"reap_monthly_active_users",
hs.get_datastore().reap_monthly_active_users,
)
clock.looping_call(reap_monthly_active_users, 1000 * 60 * 60)
reap_monthly_active_users()
@defer.inlineCallbacks
def generate_monthly_active_users():
current_mau_count = 0
reserved_count = 0
store = hs.get_datastore()
if hs.config.limit_usage_by_mau or hs.config.mau_stats_only:
current_mau_count = yield store.get_monthly_active_count()
reserved_count = yield store.get_registered_reserved_users_count()
current_mau_gauge.set(float(current_mau_count))
registered_reserved_users_mau_gauge.set(float(reserved_count))
max_mau_gauge.set(float(hs.config.max_mau_value))
def start_generate_monthly_active_users():
return run_as_background_process(
"generate_monthly_active_users",
generate_monthly_active_users,
)
start_generate_monthly_active_users()
if hs.config.limit_usage_by_mau or hs.config.mau_stats_only:
clock.looping_call(start_generate_monthly_active_users, 5 * 60 * 1000)
# End of monthly active user settings
if hs.config.report_stats:
logger.info("Scheduling stats reporting for 3 hour intervals")
clock.looping_call(start_phone_stats_home, 3 * 60 * 60 * 1000)
# We need to defer this init for the cases that we daemonize
# otherwise the process ID we get is that of the non-daemon process
clock.call_later(0, performance_stats_init)
# We wait 5 minutes to send the first set of stats as the server can
# be quite busy the first few minutes
clock.call_later(5 * 60, start_phone_stats_home)
if hs.config.daemonize and hs.config.print_pidfile:
print(hs.config.pid_file)
_base.start_reactor(
"synapse-homeserver",
hs.config.soft_file_limit,
hs.config.gc_thresholds,
hs.config.pid_file,
hs.config.daemonize,
hs.config.cpu_affinity,
logger,
)
def run(hs):
PROFILE_SYNAPSE = False
if PROFILE_SYNAPSE:
def profile(func):
from cProfile import Profile
from threading import current_thread
def profiled(*args, **kargs):
profile = Profile()
profile.enable()
func(*args, **kargs)
profile.disable()
ident = current_thread().ident
profile.dump_stats("/tmp/%s.%s.%i.pstat" %
(hs.hostname, func.__name__, ident))
return profiled
from twisted.python.threadpool import ThreadPool
ThreadPool._worker = profile(ThreadPool._worker)
reactor.run = profile(reactor.run)
clock = hs.get_clock()
start_time = clock.time()
stats = {}
@defer.inlineCallbacks
def phone_stats_home():
logger.info("Gathering stats for reporting")
now = int(hs.get_clock().time())
uptime = int(now - start_time)
if uptime < 0:
uptime = 0
stats["homeserver"] = hs.config.server_name
stats["timestamp"] = now
stats["uptime_seconds"] = uptime
stats["total_users"] = yield hs.get_datastore().count_all_users()
total_nonbridged_users = yield hs.get_datastore(
).count_nonbridged_users()
stats["total_nonbridged_users"] = total_nonbridged_users
room_count = yield hs.get_datastore().get_room_count()
stats["total_room_count"] = room_count
stats["daily_active_users"] = yield hs.get_datastore(
).count_daily_users()
stats["daily_active_rooms"] = yield hs.get_datastore(
).count_daily_active_rooms()
stats["daily_messages"] = yield hs.get_datastore(
).count_daily_messages()
daily_sent_messages = yield hs.get_datastore(
).count_daily_sent_messages()
stats["daily_sent_messages"] = daily_sent_messages
logger.info("Reporting stats to matrix.org: %s" % (stats, ))
try:
yield hs.get_simple_http_client().put_json(
"https://matrix.org/report-usage-stats/push", stats)
except Exception as e:
logger.warn("Error reporting stats: %s", e)
if hs.config.report_stats:
logger.info("Scheduling stats reporting for 3 hour intervals")
clock.looping_call(phone_stats_home, 3 * 60 * 60 * 1000)
# We wait 5 minutes to send the first set of stats as the server can
# be quite busy the first few minutes
clock.call_later(5 * 60, phone_stats_home)
if hs.config.daemonize and hs.config.print_pidfile:
print(hs.config.pid_file)
_base.start_reactor(
"synapse-homeserver",
hs.config.soft_file_limit,
hs.config.gc_thresholds,
hs.config.pid_file,
hs.config.daemonize,
hs.config.cpu_affinity,
logger,
)
def run(hs):
PROFILE_SYNAPSE = False
if PROFILE_SYNAPSE:
def profile(func):
from cProfile import Profile
from threading import current_thread
def profiled(*args, **kargs):
profile = Profile()
profile.enable()
func(*args, **kargs)
profile.disable()
ident = current_thread().ident
profile.dump_stats(
"/tmp/%s.%s.%i.pstat" % (hs.hostname, func.__name__, ident)
)
return profiled
from twisted.python.threadpool import ThreadPool
ThreadPool._worker = profile(ThreadPool._worker)
reactor.run = profile(reactor.run)
clock = hs.get_clock()
stats = {}
def performance_stats_init():
_stats_process.clear()
_stats_process.append(
(int(hs.get_clock().time()), resource.getrusage(resource.RUSAGE_SELF))
)
def start_phone_stats_home():
return run_as_background_process(
"phone_stats_home", phone_stats_home, hs, stats
)
def generate_user_daily_visit_stats():
return run_as_background_process(
"generate_user_daily_visits", hs.get_datastore().generate_user_daily_visits
)
# Rather than update on per session basis, batch up the requests.
# If you increase the loop period, the accuracy of user_daily_visits
# table will decrease
clock.looping_call(generate_user_daily_visit_stats, 5 * 60 * 1000)
# monthly active user limiting functionality
def reap_monthly_active_users():
return run_as_background_process(
"reap_monthly_active_users", hs.get_datastore().reap_monthly_active_users
)
clock.looping_call(reap_monthly_active_users, 1000 * 60 * 60)
reap_monthly_active_users()
@defer.inlineCallbacks
def generate_monthly_active_users():
current_mau_count = 0
reserved_users = ()
store = hs.get_datastore()
if hs.config.limit_usage_by_mau or hs.config.mau_stats_only:
current_mau_count = yield store.get_monthly_active_count()
reserved_users = yield store.get_registered_reserved_users()
current_mau_gauge.set(float(current_mau_count))
registered_reserved_users_mau_gauge.set(float(len(reserved_users)))
max_mau_gauge.set(float(hs.config.max_mau_value))
def start_generate_monthly_active_users():
return run_as_background_process(
"generate_monthly_active_users", generate_monthly_active_users
)
start_generate_monthly_active_users()
if hs.config.limit_usage_by_mau or hs.config.mau_stats_only:
clock.looping_call(start_generate_monthly_active_users, 5 * 60 * 1000)
# End of monthly active user settings
if hs.config.report_stats:
logger.info("Scheduling stats reporting for 3 hour intervals")
clock.looping_call(start_phone_stats_home, 3 * 60 * 60 * 1000)
# We need to defer this init for the cases that we daemonize
# otherwise the process ID we get is that of the non-daemon process
clock.call_later(0, performance_stats_init)
# We wait 5 minutes to send the first set of stats as the server can
# be quite busy the first few minutes
clock.call_later(5 * 60, start_phone_stats_home)
_base.start_reactor(
"synapse-homeserver",
soft_file_limit=hs.config.soft_file_limit,
gc_thresholds=hs.config.gc_thresholds,
pid_file=hs.config.pid_file,
daemonize=hs.config.daemonize,
print_pidfile=hs.config.print_pidfile,
logger=logger,
)
def run(hs):
PROFILE_SYNAPSE = False
if PROFILE_SYNAPSE:
def profile(func):
from cProfile import Profile
from threading import current_thread
def profiled(*args, **kargs):
profile = Profile()
profile.enable()
func(*args, **kargs)
profile.disable()
ident = current_thread().ident
profile.dump_stats("/tmp/%s.%s.%i.pstat" %
(hs.hostname, func.__name__, ident))
return profiled
from twisted.python.threadpool import ThreadPool
ThreadPool._worker = profile(ThreadPool._worker)
reactor.run = profile(reactor.run)
clock = hs.get_clock()
start_time = clock.time()
stats = {}
# Contains the list of processes we will be monitoring
# currently either 0 or 1
stats_process = []
@defer.inlineCallbacks
def phone_stats_home():
logger.info("Gathering stats for reporting")
now = int(hs.get_clock().time())
uptime = int(now - start_time)
if uptime < 0:
uptime = 0
stats["homeserver"] = hs.config.server_name
stats["timestamp"] = now
stats["uptime_seconds"] = uptime
stats["total_users"] = yield hs.get_datastore().count_all_users()
total_nonbridged_users = yield hs.get_datastore(
).count_nonbridged_users()
stats["total_nonbridged_users"] = total_nonbridged_users
room_count = yield hs.get_datastore().get_room_count()
stats["total_room_count"] = room_count
stats["daily_active_users"] = yield hs.get_datastore(
).count_daily_users()
stats["daily_active_rooms"] = yield hs.get_datastore(
).count_daily_active_rooms()
stats["daily_messages"] = yield hs.get_datastore(
).count_daily_messages()
r30_results = yield hs.get_datastore().count_r30_users()
for name, count in r30_results.iteritems():
stats["r30_users_" + name] = count
daily_sent_messages = yield hs.get_datastore(
).count_daily_sent_messages()
stats["daily_sent_messages"] = daily_sent_messages
stats["cache_factor"] = CACHE_SIZE_FACTOR
stats["event_cache_size"] = hs.config.event_cache_size
if len(stats_process) > 0:
stats["memory_rss"] = 0
stats["cpu_average"] = 0
for process in stats_process:
stats["memory_rss"] += process.memory_info().rss
stats["cpu_average"] += int(process.cpu_percent(interval=None))
logger.info("Reporting stats to matrix.org: %s" % (stats, ))
try:
yield hs.get_simple_http_client().put_json(
"https://matrix.org/report-usage-stats/push", stats)
except Exception as e:
logger.warn("Error reporting stats: %s", e)
def performance_stats_init():
try:
import psutil
process = psutil.Process()
# Ensure we can fetch both, and make the initial request for cpu_percent
# so the next request will use this as the initial point.
process.memory_info().rss
process.cpu_percent(interval=None)
logger.info("report_stats can use psutil")
stats_process.append(process)
except (ImportError, AttributeError):
logger.warn(
"report_stats enabled but psutil is not installed or incorrect version."
" Disabling reporting of memory/cpu stats."
" Ensuring psutil is available will help matrix.org track performance"
" changes across releases.")
if hs.config.report_stats:
logger.info("Scheduling stats reporting for 3 hour intervals")
clock.looping_call(phone_stats_home, 3 * 60 * 60 * 1000)
# We need to defer this init for the cases that we daemonize
# otherwise the process ID we get is that of the non-daemon process
clock.call_later(0, performance_stats_init)
# We wait 5 minutes to send the first set of stats as the server can
# be quite busy the first few minutes
clock.call_later(5 * 60, phone_stats_home)
if hs.config.daemonize and hs.config.print_pidfile:
print(hs.config.pid_file)
_base.start_reactor(
"synapse-homeserver",
hs.config.soft_file_limit,
hs.config.gc_thresholds,
hs.config.pid_file,
hs.config.daemonize,
hs.config.cpu_affinity,
logger,
)
def run(hs):
PROFILE_SYNAPSE = False
if PROFILE_SYNAPSE:
def profile(func):
from cProfile import Profile
from threading import current_thread
def profiled(*args, **kargs):
profile = Profile()
profile.enable()
func(*args, **kargs)
profile.disable()
ident = current_thread().ident
profile.dump_stats("/tmp/%s.%s.%i.pstat" % (
hs.hostname, func.__name__, ident
))
return profiled
from twisted.python.threadpool import ThreadPool
ThreadPool._worker = profile(ThreadPool._worker)
reactor.run = profile(reactor.run)
clock = hs.get_clock()
start_time = clock.time()
stats = {}
# Contains the list of processes we will be monitoring
# currently either 0 or 1
stats_process = []
def start_phone_stats_home():
return run_as_background_process("phone_stats_home", phone_stats_home)
@defer.inlineCallbacks
def phone_stats_home():
logger.info("Gathering stats for reporting")
now = int(hs.get_clock().time())
uptime = int(now - start_time)
if uptime < 0:
uptime = 0
stats["homeserver"] = hs.config.server_name
stats["timestamp"] = now
stats["uptime_seconds"] = uptime
version = sys.version_info
stats["python_version"] = "{}.{}.{}".format(
version.major, version.minor, version.micro
)
stats["total_users"] = yield hs.get_datastore().count_all_users()
total_nonbridged_users = yield hs.get_datastore().count_nonbridged_users()
stats["total_nonbridged_users"] = total_nonbridged_users
daily_user_type_results = yield hs.get_datastore().count_daily_user_type()
for name, count in iteritems(daily_user_type_results):
stats["daily_user_type_" + name] = count
room_count = yield hs.get_datastore().get_room_count()
stats["total_room_count"] = room_count
stats["daily_active_users"] = yield hs.get_datastore().count_daily_users()
stats["daily_active_rooms"] = yield hs.get_datastore().count_daily_active_rooms()
stats["daily_messages"] = yield hs.get_datastore().count_daily_messages()
r30_results = yield hs.get_datastore().count_r30_users()
for name, count in iteritems(r30_results):
stats["r30_users_" + name] = count
daily_sent_messages = yield hs.get_datastore().count_daily_sent_messages()
stats["daily_sent_messages"] = daily_sent_messages
stats["cache_factor"] = CACHE_SIZE_FACTOR
stats["event_cache_size"] = hs.config.event_cache_size
if len(stats_process) > 0:
stats["memory_rss"] = 0
stats["cpu_average"] = 0
for process in stats_process:
stats["memory_rss"] += process.memory_info().rss
stats["cpu_average"] += int(process.cpu_percent(interval=None))
logger.info("Reporting stats to matrix.org: %s" % (stats,))
try:
yield hs.get_simple_http_client().put_json(
"https://matrix.org/report-usage-stats/push",
stats
)
except Exception as e:
logger.warn("Error reporting stats: %s", e)
def performance_stats_init():
try:
process = psutil.Process()
# Ensure we can fetch both, and make the initial request for cpu_percent
# so the next request will use this as the initial point.
process.memory_info().rss
process.cpu_percent(interval=None)
logger.info("report_stats can use psutil")
stats_process.append(process)
except (AttributeError):
logger.warning(
"Unable to read memory/cpu stats. Disabling reporting."
)
def generate_user_daily_visit_stats():
return run_as_background_process(
"generate_user_daily_visits",
hs.get_datastore().generate_user_daily_visits,
)
# Rather than update on per session basis, batch up the requests.
# If you increase the loop period, the accuracy of user_daily_visits
# table will decrease
clock.looping_call(generate_user_daily_visit_stats, 5 * 60 * 1000)
# monthly active user limiting functionality
def reap_monthly_active_users():
return run_as_background_process(
"reap_monthly_active_users",
hs.get_datastore().reap_monthly_active_users,
)
clock.looping_call(reap_monthly_active_users, 1000 * 60 * 60)
reap_monthly_active_users()
@defer.inlineCallbacks
def generate_monthly_active_users():
current_mau_count = 0
reserved_count = 0
store = hs.get_datastore()
if hs.config.limit_usage_by_mau:
current_mau_count = yield store.get_monthly_active_count()
reserved_count = yield store.get_registered_reserved_users_count()
current_mau_gauge.set(float(current_mau_count))
registered_reserved_users_mau_gauge.set(float(reserved_count))
max_mau_gauge.set(float(hs.config.max_mau_value))
def start_generate_monthly_active_users():
return run_as_background_process(
"generate_monthly_active_users",
generate_monthly_active_users,
)
start_generate_monthly_active_users()
if hs.config.limit_usage_by_mau:
clock.looping_call(start_generate_monthly_active_users, 5 * 60 * 1000)
# End of monthly active user settings
if hs.config.report_stats:
logger.info("Scheduling stats reporting for 3 hour intervals")
clock.looping_call(start_phone_stats_home, 3 * 60 * 60 * 1000)
# We need to defer this init for the cases that we daemonize
# otherwise the process ID we get is that of the non-daemon process
clock.call_later(0, performance_stats_init)
# We wait 5 minutes to send the first set of stats as the server can
# be quite busy the first few minutes
clock.call_later(5 * 60, start_phone_stats_home)
if hs.config.daemonize and hs.config.print_pidfile:
print(hs.config.pid_file)
_base.start_reactor(
"synapse-homeserver",
hs.config.soft_file_limit,
hs.config.gc_thresholds,
hs.config.pid_file,
hs.config.daemonize,
hs.config.cpu_affinity,
logger,
)
def run(hs):
PROFILE_SYNAPSE = False
if PROFILE_SYNAPSE:
def profile(func):
from cProfile import Profile
from threading import current_thread
def profiled(*args, **kargs):
profile = Profile()
profile.enable()
func(*args, **kargs)
profile.disable()
ident = current_thread().ident
profile.dump_stats("/tmp/%s.%s.%i.pstat" % (
hs.hostname, func.__name__, ident
))
return profiled
from twisted.python.threadpool import ThreadPool
ThreadPool._worker = profile(ThreadPool._worker)
reactor.run = profile(reactor.run)
clock = hs.get_clock()
start_time = clock.time()
stats = {}
# Contains the list of processes we will be monitoring
# currently either 0 or 1
stats_process = []
@defer.inlineCallbacks
def phone_stats_home():
logger.info("Gathering stats for reporting")
now = int(hs.get_clock().time())
uptime = int(now - start_time)
if uptime < 0:
uptime = 0
stats["homeserver"] = hs.config.server_name
stats["timestamp"] = now
stats["uptime_seconds"] = uptime
stats["total_users"] = yield hs.get_datastore().count_all_users()
total_nonbridged_users = yield hs.get_datastore().count_nonbridged_users()
stats["total_nonbridged_users"] = total_nonbridged_users
room_count = yield hs.get_datastore().get_room_count()
stats["total_room_count"] = room_count
stats["daily_active_users"] = yield hs.get_datastore().count_daily_users()
stats["daily_active_rooms"] = yield hs.get_datastore().count_daily_active_rooms()
stats["daily_messages"] = yield hs.get_datastore().count_daily_messages()
r30_results = yield hs.get_datastore().count_r30_users()
for name, count in r30_results.iteritems():
stats["r30_users_" + name] = count
daily_sent_messages = yield hs.get_datastore().count_daily_sent_messages()
stats["daily_sent_messages"] = daily_sent_messages
stats["cache_factor"] = CACHE_SIZE_FACTOR
stats["event_cache_size"] = hs.config.event_cache_size
if len(stats_process) > 0:
stats["memory_rss"] = 0
stats["cpu_average"] = 0
for process in stats_process:
stats["memory_rss"] += process.memory_info().rss
stats["cpu_average"] += int(process.cpu_percent(interval=None))
logger.info("Reporting stats to matrix.org: %s" % (stats,))
try:
yield hs.get_simple_http_client().put_json(
"https://matrix.org/report-usage-stats/push",
stats
)
except Exception as e:
logger.warn("Error reporting stats: %s", e)
def performance_stats_init():
try:
import psutil
process = psutil.Process()
# Ensure we can fetch both, and make the initial request for cpu_percent
# so the next request will use this as the initial point.
process.memory_info().rss
process.cpu_percent(interval=None)
logger.info("report_stats can use psutil")
stats_process.append(process)
except (ImportError, AttributeError):
logger.warn(
"report_stats enabled but psutil is not installed or incorrect version."
" Disabling reporting of memory/cpu stats."
" Ensuring psutil is available will help matrix.org track performance"
" changes across releases."
)
if hs.config.report_stats:
logger.info("Scheduling stats reporting for 3 hour intervals")
clock.looping_call(phone_stats_home, 3 * 60 * 60 * 1000)
# We need to defer this init for the cases that we daemonize
# otherwise the process ID we get is that of the non-daemon process
clock.call_later(0, performance_stats_init)
# We wait 5 minutes to send the first set of stats as the server can
# be quite busy the first few minutes
clock.call_later(5 * 60, phone_stats_home)
if hs.config.daemonize and hs.config.print_pidfile:
print (hs.config.pid_file)
_base.start_reactor(
"synapse-homeserver",
hs.config.soft_file_limit,
hs.config.gc_thresholds,
hs.config.pid_file,
hs.config.daemonize,
hs.config.cpu_affinity,
logger,
)
