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sientia-dataops-model-manager/model_manager/workflows/cleanup_files.py

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1.8 KiB
Python

"""
Cleanup workflow for removing local filesystem.
This module provides a Temporal cron workflow that runs daily to clean up
temporary files and directories older than the configured retention period.
"""
from temporalio import workflow
with workflow.unsafe.imports_passed_through():
import os
from datetime import timedelta
from typing import Any
from model_manager.activities.activities import Activities
from model_manager.workflows.train_model import POD_ID, no_retry_policy
TIMEOUT_CLEANUP_LOCAL = int(os.getenv('TIMEOUT_CLEANUP_LOCAL', '120'))
@workflow.defn(name='cleanup_files')
class CleanupFiles:
"""
Cleanup workflow for removing stale files.
This workflow cleans up:
- Local temporary directories with timestamp suffixes
The workflow is designed to be simple and robust, with error handling
delegated to the individual activities.
"""
@workflow.run
async def run(self, input_data: dict[str, Any]) -> None:
"""
Execute the cleanup workflow.
This method orchestrates the cleanup of local directories
in sequence. No exception handling is needed as activities handle their
own errors and notifications.
"""
# Default temp path for local cleanup
temp_path = 'model_manager/reports/temp'
# Metadata for tracking
metadata = {
'metadata': {
'pod_id': POD_ID,
'workflow_name': 'cleanup_files',
}
}
# Execute local directory cleanup
await workflow.execute_activity_method(
Activities.cleanup_temp_directories,
{
**metadata,
'temp_path': temp_path,
},
retry_policy=no_retry_policy,
start_to_close_timeout=timedelta(seconds=TIMEOUT_CLEANUP_LOCAL),
)