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This document is for an in-development version of Galaxy. You can alternatively view this page in the latest release if it exists or view the top of the latest release's documentation.
Source code for galaxy.celery
import os
import uuid
from collections.abc import Callable
from functools import (
lru_cache,
wraps,
)
from multiprocessing import get_context
from threading import (
local,
Lock,
)
from typing import (
Any,
)
import pebble
from celery import (
Celery,
shared_task,
Task,
)
from celery.signals import (
worker_init,
worker_shutting_down,
)
from kombu import serialization
from galaxy.celery.base_task import (
GalaxyTaskAfterReturn,
GalaxyTaskBeforeStart,
)
from galaxy.config import Configuration
from galaxy.main_config import find_config
from galaxy.util import ExecutionTimer
from galaxy.util.custom_logging import get_logger
from galaxy.util.properties import load_app_properties
from ._serialization import (
schema_dumps,
schema_loads,
)
log = get_logger(__name__)
MAIN_TASK_MODULE = "galaxy.celery.tasks"
DEFAULT_TASK_QUEUE = "galaxy.internal"
TASKS_MODULES = [MAIN_TASK_MODULE]
PYDANTIC_AWARE_SERIALIZER_NAME = "pydantic-aware-json"
APP_LOCAL = local()
serialization.register(
PYDANTIC_AWARE_SERIALIZER_NAME, encoder=schema_dumps, decoder=schema_loads, content_type="application/json"
)
[docs]
class GalaxyCelery(Celery):
fork_pool: pebble.ProcessPool
[docs]
def gen_task_name(self, name, module):
module = self.trim_module_name(module)
return super().gen_task_name(name, module)
[docs]
def trim_module_name(self, module):
"""
Drop "celery.tasks" infix for less verbose task names:
- galaxy.celery.tasks.do_foo >> galaxy.do_foo
- galaxy.celery.tasks.subtasks.do_fuz >> galaxy.subtasks.do_fuz
"""
if module.startswith("galaxy.celery.tasks"):
module = f"galaxy{module[19:]}"
return module
[docs]
class GalaxyTask(Task):
"""
Custom celery task used to enforce per-user rate limits and
concurrency limits on task executions.
"""
[docs]
def before_start(self, task_id, args, kwargs):
"""
Set appropriate before start object from DI container.
"""
app = get_galaxy_app()
assert app
app[GalaxyTaskBeforeStart](self, task_id, args, kwargs)
[docs]
def after_return(self, status, retval, task_id, args, kwargs, einfo):
"""
Called after task returns (success, failure, revoked, or retry).
Used to clean up concurrency tracking rows.
"""
if status == "RETRY":
return # Don't clean up on retry — the task will run again
if app := get_galaxy_app():
app[GalaxyTaskAfterReturn](self, task_id, args, kwargs)
[docs]
def get_galaxy_app():
try:
return APP_LOCAL.app
except AttributeError:
import galaxy.app
if galaxy.app.app:
return galaxy.app.app
return build_app()
_build_app_lock = Lock()
_built_app = None
[docs]
def build_app():
# Build the app under a double-checked lock so that a cold start with N
# concurrent threads (celery ``--pool threads``) builds exactly one app; the
# losing threads wait on the lock and reuse the winner's result.
global _built_app
if _built_app is not None:
return _built_app
with _build_app_lock:
if _built_app is not None:
return _built_app
if kwargs := get_app_properties():
kwargs["check_migrate_databases"] = False
kwargs["use_display_applications"] = False
kwargs["use_converters"] = True
import galaxy.app
galaxy_app = galaxy.app.GalaxyManagerApplication(configure_logging=False, **kwargs)
# GalaxyManagerApplication has no toolbox, so the converter tools the async
# execution path relies on must be loaded directly into the datatypes registry.
galaxy_app.datatypes_registry.load_datatype_converters_without_toolbox(galaxy_app)
_built_app = galaxy_app
return _built_app
[docs]
@lru_cache(maxsize=1)
def get_app_properties():
config_file = os.environ.get("GALAXY_CONFIG_FILE")
galaxy_root_dir = os.environ.get("GALAXY_ROOT_DIR")
if not config_file and galaxy_root_dir:
config_file = find_config(config_file, galaxy_root_dir)
if config_file:
properties = load_app_properties(
config_file=os.path.abspath(config_file),
config_section="galaxy",
)
if galaxy_root_dir:
properties["root_dir"] = galaxy_root_dir
return properties
[docs]
@lru_cache(maxsize=1)
def get_config():
kwargs = get_app_properties() or {}
kwargs["override_tempdir"] = False
return Configuration(**kwargs)
[docs]
def init_fork_pool():
# Do slow imports when workers boot.
from galaxy.datatypes import registry # noqa: F401
from galaxy.metadata import set_metadata # noqa: F401
[docs]
@worker_init.connect
def setup_worker_pool(sender=None, conf=None, instance=None, **kwargs):
context = get_context("forkserver")
celery_app.fork_pool = pebble.ProcessPool(
max_workers=sender.concurrency, max_tasks=100, initializer=init_fork_pool, context=context
)
[docs]
@worker_shutting_down.connect
def tear_down_pool(sig, how, exitcode, **kwargs):
log.debug("shutting down forkserver pool")
celery_app.fork_pool.stop()
celery_app.fork_pool.join(timeout=5)
[docs]
def galaxy_task(*args, action=None, **celery_task_kwd):
if "serializer" not in celery_task_kwd:
celery_task_kwd["serializer"] = PYDANTIC_AWARE_SERIALIZER_NAME
# Galaxy tasks rely on ``app.magic_partial(func)`` (below) to inject
# DI dependencies — typically ``sa_session`` and manager instances —
# at task-execution time. Celery's ``apply_async`` runs
# ``check_arguments`` against the wrapped function's *original*
# signature *before* the task body fires, so any DI-injected
# positional shows up as missing (``TypeError: set_job_metadata()
# missing 1 required positional argument: 'sa_session'``). Disabling
# ``typing`` for every Galaxy task lets the DI flow work as designed;
# individual call sites still pass their non-DI args explicitly.
celery_task_kwd.setdefault("typing", False)
def decorate(func: Callable):
@shared_task(base=GalaxyTask, **celery_task_kwd)
@wraps(func)
def wrapper(*args, **kwds):
app = get_galaxy_app()
assert app
# Ensure sqlalchemy session registry scope is specific to this instance of the celery task
scoped_id = str(uuid.uuid4())
app.model.set_request_id(scoped_id)
desc = func.__name__
if action is not None:
desc += f" to {action}"
try:
timer = app.execution_timer_factory.get_timer("internals.tasks.{func.__name__}", desc)
except AttributeError:
timer = ExecutionTimer()
try:
rval = app.magic_partial(func)(*args, **kwds)
message = f"Successfully executed Celery task {desc} {timer}"
log.info(message)
return rval
except Exception:
log.exception(f"Celery task execution failed for {desc} {timer} {args}, {kwds}")
raise
finally:
# Close and remove any open session this task has created
app.model.unset_request_id(scoped_id)
return wrapper
if len(args) == 1 and callable(args[0]):
return decorate(args[0])
else:
return decorate
[docs]
def init_celery_app():
celery_app_kwd: dict[str, Any] = {
"include": TASKS_MODULES,
"task_default_queue": DEFAULT_TASK_QUEUE,
"task_create_missing_queues": True,
"timezone": "UTC",
}
celery_app = GalaxyCelery("galaxy", **celery_app_kwd)
celery_app.set_default()
config = get_config()
config_celery_app(config, celery_app)
setup_periodic_tasks(config, celery_app)
return celery_app
[docs]
def config_celery_app(config, celery_app):
# Apply settings from galaxy's config
if config.celery_conf:
celery_app.conf.update(config.celery_conf)
# Handle special cases
if not config.celery_conf.get("broker_url"):
celery_app.conf.broker_url = config.amqp_internal_connection
[docs]
def setup_periodic_tasks(config, celery_app):
def schedule_task(task, interval):
if interval > 0:
task_key = task.replace("_", "-")
module_name = celery_app.trim_module_name(MAIN_TASK_MODULE)
task_name = f"{module_name}.{task}"
beat_schedule[task_key] = {
"task": task_name,
"schedule": interval,
}
beat_schedule: dict[str, dict[str, Any]] = {}
schedule_task("prune_history_audit_table", config.history_audit_table_prune_interval)
schedule_task("prune_expired_bulk_storage_operations", config.prune_expired_bulk_storage_operations_interval)
schedule_task("cleanup_short_term_storage", config.short_term_storage_cleanup_interval)
schedule_task("prune_kombu_sqla_transport", config.kombu_sqla_transport_cleanup_interval)
schedule_task(
"recover_stale_bulk_storage_operation_runs", config.recover_stale_bulk_storage_operation_runs_interval
)
if config.statsd_host:
schedule_task("emit_queue_metrics_task", config.queue_metrics_interval)
if config.enable_notification_system:
schedule_task("cleanup_expired_notifications", config.expired_notifications_cleanup_interval)
schedule_task("dispatch_pending_notifications", config.dispatch_notifications_interval)
if config.object_store_cache_monitor_driver in ["auto", "celery"]:
schedule_task("clean_object_store_caches", config.object_store_cache_monitor_interval)
if config.enable_failed_jobs_working_directory_cleanup:
schedule_task("cleanup_jwds", config.failed_jobs_working_directory_cleanup_interval)
if config.vault_token_renewal_interval:
schedule_task("renew_vault_token", config.vault_token_renewal_interval)
# Only schedule if GalaxyAI infrastructure is configured -- the GTN database
# serves the gtn_training agent, which only functions when inference_services
# is set up. Without this gate every Galaxy install would pull from depot
# on the default interval, even ones that don't use the agent.
if config.inference_services and config.gtn_database_refresh_interval and config.gtn_database_path:
schedule_task("refresh_gtn_database", config.gtn_database_refresh_interval)
# IWC manifest pre-warm only matters when the agent-ops layer is exposed --
# same inference_services gate as the GTN refresh above.
if config.inference_services and config.iwc_manifest_refresh_interval:
schedule_task("refresh_iwc_manifest", config.iwc_manifest_refresh_interval)
if config.celery_user_concurrency_limit:
# Run cleanup every 5 minutes (300 seconds)
schedule_task("cleanup_stale_concurrency_slots", 300)
if beat_schedule:
celery_app.conf.beat_schedule = beat_schedule
celery_app = init_celery_app()