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

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2.7 KiB
Python

"""
Cleanup workflow for removing stale files from MinIO and 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, network_retry_policy, no_retry_policy
TIMEOUT_CLEANUP_MINIO = int(os.getenv('TIMEOUT_CLEANUP_MINIO', '300'))
TIMEOUT_CLEANUP_LOCAL = int(os.getenv('TIMEOUT_CLEANUP_LOCAL', '120'))
DEFAULT_CLEANUP_BUCKET = os.getenv('DEFAULT_CLEANUP_BUCKET', 'model-training')
@workflow.defn(name='cleanup_files')
class CleanupFiles:
"""
Cleanup workflow for removing stale files.
This workflow cleans up:
- MinIO files with timestamp prefixes
- 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 MinIO files and local directories
in sequence. No exception handling is needed as activities handle their
own errors and notifications.
Args:
input_data: Workflow configuration containing optional:
- bucket_name (str): Bucket to clean (defaults to environment variable)
"""
# Get bucket name from input or environment
bucket_name = input_data.get('bucket_name', DEFAULT_CLEANUP_BUCKET)
# 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 MinIO cleanup
await workflow.execute_activity_method(
Activities.cleanup_minio_files,
{
**metadata,
'bucket_name': bucket_name,
},
retry_policy=network_retry_policy,
start_to_close_timeout=timedelta(seconds=TIMEOUT_CLEANUP_MINIO),
)
# 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),
)