def run_sync(self):
"""Synchronously run pantsd."""
os.environ.pop("PYTHONPATH")
global_bootstrap_options = self._bootstrap_options.for_global_scope()
# Set the process name in ps output to 'pantsd' vs './pants compile src/etc:: -ldebug'.
set_process_title(f"pantsd [{self._build_root}]")
# Switch log output to the daemon's log stream, and empty `env` and `argv` to encourage all
# further usage of those variables to happen via engine APIs and options.
self._close_stdio()
with initialize_stdio(global_bootstrap_options), argv_as(
tuple()), hermetic_environment_as():
# Install signal and panic handling.
ExceptionSink.install(
log_location=init_workdir(global_bootstrap_options),
pantsd_instance=True)
native_engine.maybe_set_panic_handler()
self._initialize_metadata()
# Check periodically whether the core is valid, and exit if it is not.
while self._core.is_valid():
time.sleep(self.JOIN_TIMEOUT_SECONDS)
# We're exiting: join the server to avoid interrupting ongoing runs.
self._logger.info(
"Waiting for ongoing runs to complete before exiting...")
native_engine.nailgun_server_await_shutdown(self._server)
self._logger.info("Exiting pantsd")
def _init_graph_session(
cls,
options_initializer: OptionsInitializer,
options_bootstrapper: OptionsBootstrapper,
build_config: BuildConfiguration,
env: CompleteEnvironment,
run_id: str,
options: Options,
scheduler: GraphScheduler | None = None,
cancellation_latch: PySessionCancellationLatch | None = None,
) -> GraphSession:
native_engine.maybe_set_panic_handler()
if scheduler is None:
dynamic_remote_options, _ = DynamicRemoteOptions.from_options(options, env)
bootstrap_options = options.bootstrap_option_values()
assert bootstrap_options is not None
scheduler = EngineInitializer.setup_graph(
bootstrap_options, build_config, dynamic_remote_options
)
with options_initializer.handle_unknown_flags(options_bootstrapper, env, raise_=True):
global_options = options.for_global_scope()
return scheduler.new_session(
run_id,
dynamic_ui=global_options.dynamic_ui,
use_colors=global_options.get("colors", True),
session_values=SessionValues(
{
OptionsBootstrapper: options_bootstrapper,
CompleteEnvironment: env,
}
),
cancellation_latch=cancellation_latch,
)
def _init_graph_session(
cls,
options_initializer: OptionsInitializer,
options_bootstrapper: OptionsBootstrapper,
build_config: BuildConfiguration,
env: CompleteEnvironment,
run_id: str,
options: Options,
scheduler: Optional[GraphScheduler] = None,
cancellation_latch: Optional[PySessionCancellationLatch] = None,
) -> GraphSession:
native_engine.maybe_set_panic_handler()
graph_scheduler_helper = scheduler or EngineInitializer.setup_graph(
options_bootstrapper, build_config, env)
with options_initializer.handle_unknown_flags(options_bootstrapper,
env,
raise_=True):
global_options = options.for_global_scope()
return graph_scheduler_helper.new_session(
run_id,
dynamic_ui=global_options.dynamic_ui,
use_colors=global_options.get("colors", True),
session_values=SessionValues({
OptionsBootstrapper: options_bootstrapper,
CompleteEnvironment: env,
}),
cancellation_latch=cancellation_latch,
)
def _init_graph_session(
cls,
options_initializer: OptionsInitializer,
options_bootstrapper: OptionsBootstrapper,
build_config: BuildConfiguration,
env: CompleteEnvironment,
run_id: str,
options: Options,
scheduler: GraphScheduler | None = None,
cancellation_latch: PySessionCancellationLatch | None = None,
) -> GraphSession:
native_engine.maybe_set_panic_handler()
if scheduler is None:
dynamic_remote_options, _ = DynamicRemoteOptions.from_options(options, env)
bootstrap_options = options.bootstrap_option_values()
assert bootstrap_options is not None
scheduler = EngineInitializer.setup_graph(
bootstrap_options, build_config, dynamic_remote_options
)
with options_initializer.handle_unknown_flags(options_bootstrapper, env, raise_=True):
global_options = options.for_global_scope()
return scheduler.new_session(
run_id,
dynamic_ui=global_options.dynamic_ui,
ui_use_prodash=global_options.dynamic_ui_renderer
== DynamicUIRenderer.experimental_prodash,
use_colors=global_options.get("colors", True),
max_workunit_level=max(
global_options.streaming_workunits_level,
global_options.level,
*(
LogLevel[level.upper()]
for level in global_options.log_levels_by_target.values()
),
),
session_values=SessionValues(
{
OptionsBootstrapper: options_bootstrapper,
CompleteEnvironment: env,
}
),
cancellation_latch=cancellation_latch,
)
