Files
sientia-dataops-model-manager/model_manager/schedules/cleanup_schedule.py
vitor-aignosi 526edcb50e feat: update training workflow and repository management
- Replaced synchronous MinIO repository calls with asynchronous counterparts in the Training class for improved performance.
- Enhanced logging throughout the training process to provide better insights into model metadata loading, parameter validation, and training execution.
- Updated the train_test_split function to enforce DataFrame input type, ensuring consistency in data handling.
- Removed the deprecated model_repository.py file to streamline the codebase.
- Adjusted cleanup schedule logic to improve error handling and logging during schedule reconciliation.
- Updated tests to reflect changes in the training workflow and repository interactions.
2026-04-09 12:09:52 -03:00

161 lines
5.4 KiB
Python

"""Schedule configuration for cleanup workflow."""
import os
from datetime import timedelta
from typing import Any
from sientia_do.observability.logger import Logger as SientiaLogger
from temporalio.client import (
Client,
Schedule,
ScheduleActionStartWorkflow,
ScheduleSpec,
)
from model_manager.worker.prepare_worker import build_queue_name
# Schedule configuration from environment variables
CLEANUP_CRON = os.getenv('CLEANUP_CRON', '0 0 * * *') # Default: midnight UTC
CLEANUP_TIMEZONE = os.getenv('CLEANUP_TIMEZONE', 'UTC')
CLEANUP_EXECUTION_TIMEOUT_HOURS = int(os.getenv('CLEANUP_EXECUTION_TIMEOUT_HOURS', '1'))
def build_cleanup_schedule_id(runtime: str | None) -> str:
"""
Build cleanup schedule ID using runtime-derived naming.
Args:
runtime: Runtime suffix used by workers
Return:
str: Cleanup schedule ID
"""
normalized_runtime = runtime.strip() if runtime else ''
return f'cleanup-files-{normalized_runtime or "single"}-daily'
async def _needs_schedule_reconcile(
schedule_handle: Any,
cleanup_task_queue: str,
logger: SientiaLogger,
metadata: dict[str, str | None],
) -> bool:
"""
Compare configured cleanup schedule against current expected values.
Args:
schedule_handle: Temporal schedule handle for current schedule ID
cleanup_task_queue: Expected cleanup task queue
logger: Logger instance for errors
metadata: Metadata dictionary for logging context
Return:
bool: True when schedule should be recreated to apply current config
"""
try:
schedule_description = await schedule_handle.describe()
schedule = getattr(schedule_description, 'schedule', None)
action = getattr(schedule, 'action', None)
spec = getattr(schedule, 'spec', None)
current_task_queue = getattr(action, 'task_queue', None)
current_execution_timeout = getattr(action, 'execution_timeout', None)
current_cron = getattr(spec, 'cron_expressions', None)
current_timezone = getattr(spec, 'time_zone_name', None)
return (
current_task_queue != cleanup_task_queue
or current_execution_timeout != timedelta(hours=CLEANUP_EXECUTION_TIMEOUT_HOURS)
or current_cron != [CLEANUP_CRON]
or current_timezone != CLEANUP_TIMEZONE
)
except Exception as e: # noqa: BLE001
logger.custom_error(f'Error describing cleanup schedule for reconcile: {e}', metadata)
return True
async def schedule_exists(
client: Client, schedule_id: str, logger: SientiaLogger, metadata: dict[str, str | None]
) -> bool:
"""
Check if a schedule already exists.
Args:
client: Temporal client instance
schedule_id: ID of the schedule to check
logger: Logger instance for error logging
metadata: Metadata dictionary for logging context
Returns:
True if schedule exists, False otherwise
"""
try:
async for schedule in await client.list_schedules():
if schedule.id == schedule_id:
return True
return False
except Exception as e: # noqa: BLE001
logger.custom_error(f'Error checking if schedule exists: {e}', metadata)
return False
async def create_cleanup_schedule(
client: Client, logger: SientiaLogger, metadata: dict[str, str | None]
) -> None:
"""
Create or update the cleanup files schedule.
This function is idempotent and can be called multiple times safely.
It will only create the schedule if it doesn't already exist.
Args:
client: Temporal client instance
logger: Logger instance for logging schedule operations
metadata: Metadata dictionary for logging context
"""
runtime = (os.getenv('RUNTIME') or 'single').strip()
cleanup_task_queue = build_queue_name('CleanupFiles', runtime or 'single')
schedule_id = build_cleanup_schedule_id(runtime)
updated = False
if await schedule_exists(client, schedule_id, logger, metadata):
handle = client.get_schedule_handle(schedule_id)
if await _needs_schedule_reconcile(handle, cleanup_task_queue, logger, metadata):
await handle.delete()
updated = True
else:
logger.custom_info(
f"Schedule '{schedule_id}' is already up to date, no-op reconcile",
metadata,
)
return
await client.create_schedule(
schedule_id,
Schedule(
action=ScheduleActionStartWorkflow(
'cleanup_files',
{}, # Empty input, will use default bucket from environment
id=f'cleanup-files-scheduled-{schedule_id}',
task_queue=cleanup_task_queue,
execution_timeout=timedelta(hours=CLEANUP_EXECUTION_TIMEOUT_HOURS),
),
spec=ScheduleSpec(
cron_expressions=[CLEANUP_CRON],
time_zone_name=CLEANUP_TIMEZONE,
),
),
)
if updated:
logger.custom_info(
f"Schedule '{schedule_id}' reconciled successfully. "
f'Cleanup will run at: {CLEANUP_CRON} ({CLEANUP_TIMEZONE})',
metadata,
)
else:
logger.custom_info(
f"Schedule '{schedule_id}' created successfully. "
f'Cleanup will run at: {CLEANUP_CRON} ({CLEANUP_TIMEZONE})',
metadata,
)