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294385c34d
1. Use the task manager to manage the underlying execution/task 2. Use the pkg/scheduler to schedule the periodical job 3. Apply the new program model 4. Migration the old data into the new data model Signed-off-by: Wenkai Yin <yinw@vmware.com>
36 lines
1.3 KiB
Python
36 lines
1.3 KiB
Python
# -*- coding: utf-8 -*-
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import time
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import base
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import v2_swagger_client
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from v2_swagger_client.rest import ApiException
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class ReplicationV2(base.Base, object):
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def __init__(self):
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super(ReplicationV2,self).__init__(api_type = "replication")
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def wait_until_jobs_finish(self, rule_id, retry=10, interval=5, **kwargs):
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Succeed = False
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for i in range(retry):
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Succeed = False
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jobs = self.get_replication_executions(rule_id, **kwargs)
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for job in jobs:
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if job.status == "Succeed":
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return
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if not Succeed:
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time.sleep(interval)
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if not Succeed:
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raise Exception("The jobs not Succeed")
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def trigger_replication_executions(self, rule_id, expect_status_code = 201, **kwargs):
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client = self._get_client(**kwargs)
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_, status_code, _ = client.start_replication_with_http_info({"policy_id":rule_id})
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base._assert_status_code(expect_status_code, status_code)
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def get_replication_executions(self, rule_id, expect_status_code = 200, **kwargs):
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client = self._get_client(**kwargs)
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data, status_code, _ = client.list_replication_executions_with_http_info(policy_id=rule_id)
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base._assert_status_code(expect_status_code, status_code)
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return data
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