Files
sientia-dataops-model-manager/model_manager/workflows/cleanup_files.py
vitor-aignosi c0bef2d688 feat: update values.yaml and refactor cleanup paths
- Changed project name in values.yaml from "sientia-dataops-model-manager" to "sientia-model-manager".
- Added new environment variables for GitHub repository and branch configuration.
- Refactored cleanup paths to use a centralized REPORTS_TEMP_DIR constant for consistency.
- Updated runtime configurations and adjusted volume mounts for better resource management.
- Enabled SSH access for the model manager and disabled Grafana dashboard creation.
- Updated tests to reflect changes in directory paths and environment variable usage.
2026-04-09 16:37:36 -03:00

63 lines
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.runtime_paths import REPORTS_TEMP_DIR
from model_manager.workflows.train_model import 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.
"""
temp_path = REPORTS_TEMP_DIR
# Metadata for tracking
metadata = {
'metadata': {
'pod_id': os.getenv('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),
)