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66 lines
3.2 KiB
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66 lines
3.2 KiB
Markdown
---
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title: Cleanup Service
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---
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The [cleanup service](https://github.com/allegroai/clearml/blob/master/examples/services/cleanup/cleanup_service.py)
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demonstrates how to use the `clearml.backend_api.session.client.APIClient` class to implement a service that deletes old
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archived tasks and their associated files: model checkpoints, other artifacts, and debug samples.
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Modify the cleanup service’s parameters to specify which archived experiments to delete and when to delete them.
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### Running the Cleanup Service
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:::info Self deployed ClearML server
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A template `Cleanup Service` task is available in the `DevOps Services` project. You can clone it, adapt its [configuration](#configuration)
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to your needs, and enqueue it for execution directly from the ClearML UI.
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:::
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Configure the task execution by modifying the `args` dictionary:
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* `delete_threshold_days` - Tasks older than this number of days will be deleted. The default value is 30 days.
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* `cleanup_period_in_days` - Repeat the cleanup service at this interval, in days. The default value is 1.0 (run once a day).
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* `force_delete` - If `False` (default), delete only Draft tasks. If `True`, allows deletion of tasks in any status.
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* `run_as_service` - If `True` (default), the task will be enqueued for remote execution (default queue: "services"). Otherwise, the script will execute locally.
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:::note Remote Execution
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If `run_as_service` is set to `True`, make sure a `clearml-agent` is assigned to the `services` queue.
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:::
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Now that the script is configured, execute it:
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```bash
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python cleanup_service.py
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```
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A new task called `Cleanup Service` is created in the `DevOps` project on your ClearML server. The script output should
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look similar to:
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```console
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ClearML Task: created new task id=8126c0af800f4903be07421aa344d7b3
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ClearML results page: https://app.clear.ml/projects/608e9039/experiments/81261aa34d7b3/output/log
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Cleanup service started
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Starting cleanup
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Deleting 100 tasks
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```
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This is followed by details from the cleanup.
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## The Cleanup Service Code
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[cleanup_service.py](https://github.com/allegroai/clearml/blob/master/examples/services/cleanup/cleanup_service.py) creates
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an `APIClient` object that establishes a session with the ClearML Server, and accomplishes the cleanup by calling:
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* [`Tasks.get_all`](../../references/api/tasks.md#post-tasksget_all) to get a list of Tasks to delete, providing the following parameters:
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* `system_tags` - Get only Tasks tagged as `archived`.
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* `status_changed` - Get Tasks whose last status change is older than then delete threshold (in seconds).
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* [`Task.delete`](../../references/sdk/task.md#delete) - Delete a Task.
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## Configuration
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The experiment’s hyperparameters are explicitly logged to ClearML using the [`Task.connect`](../../references/sdk/task.md#connect)
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method. View them in the WebApp, in the experiment’s **CONFIGURATION** page under **HYPER PARAMETERS > General**.
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The task can be reused. Clone the task, edit its parameters, and enqueue the task to run in ClearML Agent [services mode](../../clearml_agent.md#services-mode).
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## Console
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All console output appears in the experiment’s **CONSOLE**.
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