85 lines
3 KiB
Python
85 lines
3 KiB
Python
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from data import model, database
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from endpoints.api.logs_models_interface import LogEntryDataInterface, LogEntryPage, LogEntry, AggregatedLogEntry
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def _create_log(log):
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account_organization = None
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account_username = None
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account_email = None
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account_robot = None
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try:
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account_organization = log.account.organization
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account_username = log.account.username
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account_email = log.account.email
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account_robot = log.account.robot
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except AttributeError:
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pass
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performer_robot = None
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performer_username = None
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performer_email = None
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try:
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performer_robot = log.performer.robot
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performer_username = log.performer.username
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performer_email = log.performer.email
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except AttributeError:
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pass
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return LogEntry(log.metadata_json, log.ip, log.datetime, performer_email, performer_username,
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performer_robot, account_organization, account_username,
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account_email, account_robot, log.kind_id)
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class PreOCIModel(LogEntryDataInterface):
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"""
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PreOCIModel implements the data model for the Tags using a database schema
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before it was changed to support the OCI specification.
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"""
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def get_logs_query(self, start_time, end_time, performer_name=None, repository_name=None, namespace_name=None,
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ignore=None, page_token=None):
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repo = None
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if repository_name and namespace_name:
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repo = model.repository.get_repository(namespace_name, repository_name)
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performer = None
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if performer_name:
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performer = model.user.get_user(performer_name)
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logs_query = model.log.get_logs_query(start_time, end_time, performer=performer,
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repository=repo, namespace=namespace_name,
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ignore=ignore)
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logs, next_page_token = model.modelutil.paginate(logs_query, database.LogEntry, descending=True,
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page_token=page_token, limit=20)
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return LogEntryPage([_create_log(log) for log in logs], next_page_token)
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def get_log_entry_kinds(self):
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return model.log.get_log_entry_kinds()
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def repo_exists(self, namespace_name, repository_name):
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repo = model.repository.get_repository(namespace_name, repository_name)
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if repo is None:
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return False
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return True
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def get_aggregated_logs(self, start_time, end_time, performer_name=None, repository_name=None, namespace_name=None,
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ignore=None):
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repo = None
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if repository_name and namespace_name:
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repo = model.repository.get_repository(namespace_name, repository_name)
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performer = None
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if performer_name:
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performer = model.user.get_user(performer_name)
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aggregated_logs = model.log.get_aggregated_logs(start_time, end_time, performer=performer,
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repository=repo, namespace=namespace_name,
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ignore=ignore)
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return [AggregatedLogEntry(log.count, log.kind_id, log.day) for log in aggregated_logs]
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pre_oci_model = PreOCIModel()
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