70 lines
2.8 KiB
Python
70 lines
2.8 KiB
Python
# Copyright 2021 Inspur
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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from horizon.utils.memoized import memoized
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from keystoneauth1.identity.generic.token import Token
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from keystoneauth1.session import Session
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from openstack_dashboard.api import base
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from venusclient.v1 import client
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LOG = logging.getLogger(__name__)
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@memoized
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def venusclient(request):
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endpoint = base.url_for(request, 'identity')
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token_id = request.user.token.id
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tenant_name = request.user.tenant_name
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project_domain_id = request.user.token.project.get('domain_id', 'Default')
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auth = Token(auth_url=endpoint,
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token=token_id,
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project_name=tenant_name,
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project_domain_id=project_domain_id)
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session = Session(auth=auth, timeout=600)
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return client.Client(session=session)
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def log_storage_days(request):
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return venusclient(request).config.get_days()
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def logs(request, start_time, end_time, page_size, page_num, module_name,
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host_name, program_name, level):
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return venusclient(request).search.get_log(start_time=start_time,
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end_time=end_time,
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page_size=page_size,
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page_num=page_num,
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module_name=module_name,
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host_name=host_name,
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program_name=program_name,
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level=level)
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def analysis(request, start_time, module_name, host_name,
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end_time, program_name, group_name, level):
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return venusclient(request).analyse.analyse_log(start_time=start_time,
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end_time=end_time,
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module_name=module_name,
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host_name=host_name,
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program_name=program_name,
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level=level)
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def typical(request, start_time, end_time, type):
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return venusclient(request).analyse.typical_log(start_time=start_time,
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end_time=end_time,
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type=type)
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