035541c6f2
- Implement logs model using Elasticsearch with tests - Implement transition model using both elasticsearch and database model - Add LOGS_MODEL configuration to choose which to use. Co-authored-by: Sida Chen <sidchen@redhat.com> Co-authored-by: Kenny Lee Sin Cheong <kenny.lee@redhat.com>
40 lines
1.7 KiB
Python
40 lines
1.7 KiB
Python
import uuid
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import json
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from data import model
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from data.logs_model.datatypes import _format_date
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class SharedModel:
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def queue_logs_export(self, start_datetime, end_datetime, export_action_logs_queue,
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namespace_name=None, repository_name=None, callback_url=None,
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callback_email=None, filter_kinds=None):
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""" Queues logs between the start_datetime and end_time, filtered by a repository or namespace,
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for export to the specified URL and/or email address. Returns the ID of the export job
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queued or None if error.
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"""
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export_id = str(uuid.uuid4())
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namespace = model.user.get_namespace_user(namespace_name)
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if namespace is None:
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return None
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repository = None
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if repository_name is not None:
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repository = model.repository.get_repository(namespace_name, repository_name)
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if repository is None:
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return None
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export_action_logs_queue.put([namespace_name],
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json.dumps({
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'export_id': export_id,
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'repository_id': repository.id if repository else None,
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'namespace_id': namespace.id,
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'namespace_name': namespace.username,
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'repository_name': repository.name if repository else None,
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'start_time': _format_date(start_datetime),
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'end_time': _format_date(end_datetime),
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'callback_url': callback_url,
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'callback_email': callback_email,
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}), retries_remaining=3)
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return export_id
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