mirror of
https://github.com/tencentmusic/cube-studio.git
synced 2024-12-27 06:29:10 +08:00
419 lines
18 KiB
Python
419 lines
18 KiB
Python
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import time,datetime, os
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from kubernetes import client
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from kubernetes import watch
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import json
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import math
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from myapp.utils.py.py_k8s import check_status_time,K8s
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from myapp.utils.py.py_prometheus import Prometheus
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from myapp.project import push_message
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from myapp import app
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from myapp.models.model_job import (
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Pipeline,
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Workflow,
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Task
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)
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from myapp.utils.celery import session_scope
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conf=app.config
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prometheus = Prometheus(conf.get('PROMETHEUS',''))
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cluster=os.getenv('ENVIRONMENT','').lower()
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if not cluster:
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print('no cluster %s'%cluster)
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exit(1)
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else:
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clusters = conf.get('CLUSTERS',{})
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if clusters and cluster in clusters:
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kubeconfig = clusters[cluster].get('KUBECONFIG','')
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K8s(kubeconfig)
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# k8s_config.kube_config.load_kube_config(config_file=kubeconfig)
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else:
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print('no kubeconfig in cluster %s' % cluster)
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exit(1)
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# 推送微信消息
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# @pysnooper.snoop()
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def deliver_message(workflow,dbsession):
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if not workflow:
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return
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receivers = workflow.username.split(',')
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receivers = [receiver.strip() for receiver in receivers]
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pipeline_id = json.loads(workflow.labels).get("pipeline-id", '')
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if pipeline_id and int(pipeline_id) > 0:
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pipeline = dbsession.query(Pipeline).filter_by(id=int(pipeline_id)).first()
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alert_user=pipeline.alert_user.split(',') if pipeline.alert_user else []
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alert_user=[user.strip() for user in alert_user if user.strip()]
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receivers+=alert_user
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if not receivers:
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print('no receivers')
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return
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info_json = json.loads(workflow.info_json)
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# print(info_json,workflow.status)
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if workflow.status in info_json['alert_status'] and workflow.status not in info_json['has_push']:
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receivers=list(set(receivers))
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# data = {
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# "Sender": sender,
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# "Rcptto":receivers,
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# }
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status_more = json.loads(workflow.status_more)
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start_time = status_more.get('startedAt','').replace('T',' ').replace('Z','') if status_more.get('startedAt','') else ''
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if start_time:
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start_time = (datetime.datetime.strptime(start_time, '%Y-%m-%d %H:%M:%S') + datetime.timedelta(hours=0)).strftime('%Y-%m-%d %H:%M:%S')
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finish_time = status_more.get('finishedAt', '').replace('T', ' ').replace('Z', '') if status_more.get('finishedAt','') else ''
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if finish_time:
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finish_time = (datetime.datetime.strptime(finish_time, '%Y-%m-%d %H:%M:%S') + datetime.timedelta(hours=0)).strftime(
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'%Y-%m-%d %H:%M:%S')
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help_url='http://%s/pipeline_modelview/web/pod/%s'%(conf.get('HOST'),pipeline_id)
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message = "workflow: %s \npipeline: %s(%s) \nnamespace: %s\nstatus: % s \nstart_time: %s\nfinish_time: %s\n" % (workflow.name,info_json.get('pipeline_name',''),info_json.get('describe',''),workflow.namespace,workflow.status,start_time,finish_time)
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message+='\n'
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link={
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"pod详情":help_url
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}
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if message:
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push_message(receivers,message,link)
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# @pysnooper.snoop()
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def check_has_push(crd,dbsession):
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pipeline_id = crd['labels'].get('pipeline-id', '')
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pipeline = dbsession.query(Pipeline).filter_by(id=int(pipeline_id)).first()
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if not pipeline:
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return False,None
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run_id = crd['labels'].get('pipeline/runid', '')
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alert_status = ''
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if pipeline and pipeline.alert_status:
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alert_status = pipeline.alert_status
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username = crd['username']
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print("Event: % s %s %s %s %s %s" % (crd['name'], pipeline.describe,pipeline.name,crd['username'],crd['status'],run_id))
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# print("%s status %s"%(crd['name'], crd['status']))
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info_json={
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"pipeline_name":pipeline.name,
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"describe": pipeline.describe,
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"run_id":run_id,
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"alert_status": alert_status,
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"has_push":''
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}
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# print(crd['name'],crd['namespace'])
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workflow = dbsession.query(Workflow).filter(Workflow.name==crd['name']).filter(Workflow.namespace==crd['namespace']).first()
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if workflow:
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print('exist workflow')
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if workflow.info_json:
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exist_info_json = json.loads(workflow.info_json)
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info_json=exist_info_json
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# info_json['has_push']=exist_info_json.get('has_push','')
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workflow.create_time = crd['create_time']
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workflow.status = crd['status']
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workflow.change_time = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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workflow.annotations = json.dumps(crd['annotations'],indent=4,ensure_ascii=False)
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workflow.labels = json.dumps(crd['labels'],indent=4,ensure_ascii=False)
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workflow.spec = json.dumps(crd['spec'],indent=4,ensure_ascii=False),
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workflow.status_more = json.dumps(crd['status_more'],indent=4,ensure_ascii=False)
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workflow.username = crd['username']
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workflow.info_json = json.dumps(info_json,indent=4,ensure_ascii=False)
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dbsession.commit()
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if crd['status'] in info_json['alert_status'] and crd['status'] not in info_json['has_push']:
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return False,workflow
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else:
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return True,workflow
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else:
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print('new workflow')
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workflow = Workflow(name=crd['name'],namespace=crd['namespace'],create_time=crd['create_time'],
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status=crd['status'],
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annotations=json.dumps(crd['annotations'],indent=4,ensure_ascii=False),
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labels=json.dumps(crd['labels'],indent=4,ensure_ascii=False),
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spec=json.dumps(crd['spec'],indent=4,ensure_ascii=False),
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status_more=json.dumps(crd['status_more'],indent=4,ensure_ascii=False),
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username=username,
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info_json=json.dumps(info_json,indent=4,ensure_ascii=False))
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dbsession.add(workflow)
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dbsession.commit()
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return False,workflow
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# 推送修改通知
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# @pysnooper.snoop()
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def push_resource_rec(workflow,dbsession):
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pipeline_id = json.loads(workflow.labels).get('pipeline-id', '')
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pipeline = dbsession.query(Pipeline).filter_by(id=int(pipeline_id)).first()
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if pipeline:
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init_message = 'pipeline(%s)根据近10次的任务训练资源使用情况,系统做如下调整:\n'%pipeline.describe
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message = init_message
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tasks = dbsession.query(Task).filter(Task.pipeline_id == int(pipeline_id)).all()
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for task in tasks:
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if 'NO_RESOURCE_CHECK' not in task.job_template.env.replace("-","_").upper():
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task_monitorings = json.loads(task.monitoring).get('task',[])
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if len(task_monitorings)>9:
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max_cpu = 0
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max_memory=0
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for task_monitoring in task_monitorings:
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if float(task_monitoring.get('cpu',0))>max_cpu:
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max_cpu = float(task_monitoring.get('cpu',0))
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if float(task_monitoring.get('memory', 0)) > max_memory:
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max_memory = float(task_monitoring.get('memory', 0))
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if max_cpu:
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rec_cpu = math.ceil(max_cpu*1.4)+2
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if rec_cpu>150:
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rec_cpu=150
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if rec_cpu!=int(task.resource_cpu):
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message += "task(%s),原申请cpu:%s,近10次最大使用cpu:%s,新申请值:%s\n" % (task.label,task.resource_cpu, max_cpu, rec_cpu)
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task.resource_cpu = str(rec_cpu)
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if max_memory:
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rec_memory = math.ceil(max_memory*1.4)+2
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if rec_memory>350:
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rec_memory=350
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if rec_memory!=int(task.resource_memory.replace('G','').replace('M','')):
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message += "task(%s),原申请mem:%s,近10次最大使用mem:%s(G),新申请值:%s\n" % (task.label,task.resource_memory, max_memory, str(rec_memory)+"G")
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task.resource_memory = str(rec_memory)+"G"
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dbsession.commit()
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if message!=init_message:
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alert_user = pipeline.alert_user.split(',') if pipeline.alert_user else []
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alert_user = [user.strip() for user in alert_user if user.strip()]
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receivers = alert_user+[pipeline.created_by.username]
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receivers=list(set(receivers))
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push_message(receivers,message)
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# 推送训练耗时通知
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# @pysnooper.snoop()
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def push_task_time(workflow,dbsession):
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if not workflow:
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return
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nodes = json.loads(workflow.status_more).get('nodes',{})
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pods = {}
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for node_name in nodes:
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if nodes[node_name]['type'] == 'Pod' and nodes[node_name]['phase'] == 'Succeeded':
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pods[node_name] = nodes[node_name]
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pipeline_id = json.loads(workflow.labels).get('pipeline-id', '')
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if pipeline_id and pods:
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pipeline = dbsession.query(Pipeline).filter_by(id=pipeline_id).first()
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if pipeline:
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message='\n%s %s,各task耗时,酌情优化:\n'%(pipeline.describe,pipeline.created_by.username)
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task_pod_time={}
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for pod_name in pods:
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# print(pods[pod_name])
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task_name = pods[pod_name]['displayName']
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finishedAt = datetime.datetime.strptime(pods[pod_name]['finishedAt'].replace('T',' ').replace('Z',''),'%Y-%m-%d %H:%M:%S')
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startAt = datetime.datetime.strptime(pods[pod_name]['startedAt'].replace('T', ' ').replace('Z', ''),'%Y-%m-%d %H:%M:%S')
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run_time= round((finishedAt-startAt).days*24+(finishedAt-startAt).seconds/60/60,2)
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db_task_name = task_name[:task_name.index('(')] if '(' in task_name else task_name
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task = dbsession.query(Task).filter(Task.pipeline_id == int(pipeline_id)).filter(Task.name == db_task_name).first()
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if startAt in task_pod_time and task_pod_time[startAt]:
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task_pod_time[startAt].append(
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{
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"task":task.label,
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"run_time":str(run_time)
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}
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)
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else:
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task_pod_time[startAt]=[
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{
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"task": task.label,
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"run_time": str(run_time)
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}
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]
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task_pod_time_sorted = sorted(task_pod_time.items(),key=lambda item:item[0])
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max_task_run_time = 0
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for task_pods in task_pod_time_sorted:
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for task_pod in task_pods[1]:
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message+=task_pod['task']+":"+task_pod['run_time']+"(h)\n"
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try:
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if float(task_pod['run_time'])>max_task_run_time:
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max_task_run_time = float(task_pod['run_time'])
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except Exception as e:
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print(e)
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# 记录是否已经推送,不然反复推送不好
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info_json = json.loads(workflow.info_json)
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if info_json.get('push_task_time',''):
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pass
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else:
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info_json['push_task_time'] = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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workflow.info_json = json.dumps(info_json, indent=4, ensure_ascii=False)
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dbsession.commit()
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message+="\n"
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link = {
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"点击查看资源的使用": "http://%s/pipeline_modelview/web/monitoring/%s"%(conf.get('HOST'),pipeline_id)
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}
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# 有单任务运行时长超过4个小时才通知
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if max_task_run_time>4:
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push_message(conf.get('ADMIN_USER').split(','),message,link)
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alert_user = pipeline.alert_user.split(',') if pipeline.alert_user else []
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alert_user = [user.strip() for user in alert_user if user.strip()]
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receivers = alert_user + [workflow.username]
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receivers = list(set(receivers))
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push_message(receivers,message,link)
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# @pysnooper.snoop()
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def save_monitoring(workflow,dbsession):
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try:
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if workflow.status=='Succeeded':
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# 获取下面的所有pod
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nodes = json.loads(workflow.status_more).get('nodes',{})
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pods={}
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for node_name in nodes:
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if nodes[node_name]['type']=='Pod' and nodes[node_name]['phase']=='Succeeded':
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pods[node_name]=nodes[node_name]
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pipeline_id = json.loads(workflow.labels).get('pipeline-id','')
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if pipeline_id and pods:
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for pod_name in pods:
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print(pods[pod_name])
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task_name = pods[pod_name]['displayName']
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task_name = task_name[:task_name.index('(')] if '(' in task_name else task_name
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task = dbsession.query(Task).filter(Task.pipeline_id == int(pipeline_id)).filter(Task.name == task_name).first()
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metrics = prometheus.get_resource_metric(pod_name, namespace='pipeline')
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monitoring = json.loads(task.monitoring) if task and task.monitoring else {}
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task_monitoring = monitoring.get('task',[])
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if metrics:
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task_monitoring.append({
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"cpu":metrics.get('cpu', ''),
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"memory":metrics.get('memory', ''),
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"pod_name":pod_name,
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"update_time":datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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})
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# 清理监控记录
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task_monitoring_new = []
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for metric in task_monitoring:
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# 采集结果不对的,和采集结果太久远的都清理掉
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if float(metric.get('cpu',0))>0.1 and float(metric.get('memory',0))>0.1 and metric['update_time']>(datetime.datetime.now()-datetime.timedelta(days=30)).strftime('%Y-%m-%d %H:%M:%S'):
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task_monitoring_new.append(metric)
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if len(task_monitoring_new)>10:
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del task_monitoring_new[0]
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monitoring_new={}
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monitoring_new['task']= task_monitoring_new
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monitoring_new['tfjob'] = monitoring.get('tfjob',[])
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print(monitoring_new)
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if task:
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task.monitoring = json.dumps(monitoring_new,ensure_ascii=False,indent=4)
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dbsession.commit()
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push_task_time(workflow, dbsession)
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push_resource_rec(workflow, dbsession)
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except Exception as e:
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print(e)
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# @pysnooper.snoop()
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def save_history(workflow,dbsession):
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info_json = json.loads(workflow.info_json)
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if info_json['has_push']:
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if not workflow.status in info_json['has_push']:
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info_json['has_push'] += ',' + workflow.status
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else:
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info_json['has_push'] = workflow.status
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workflow.info_json = json.dumps(info_json, indent=4, ensure_ascii=False)
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dbsession.commit()
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# @pysnooper.snoop()
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def check_crd_exist(group,version,namespace,plural,name):
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exist_crd = client.CustomObjectsApi().get_namespaced_custom_object(group,version,namespace,plural,name)
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return exist_crd
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# @pysnooper.snoop()
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def deal_event(event,workflow_info,namespace):
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with session_scope(nullpool=True) as dbsession:
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try:
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crd_object = event['object']
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exist_crd = check_crd_exist(group=workflow_info['group'], version=workflow_info["version"], namespace=namespace,plural=workflow_info["plural"], name=crd_object['metadata']['name'])
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if not exist_crd:
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print('not exist in k8s')
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return
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creat_time = crd_object['metadata']['creationTimestamp'].replace('T', ' ').replace('Z', '')
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creat_time = (datetime.datetime.strptime(creat_time,'%Y-%m-%d %H:%M:%S')+datetime.timedelta(hours=8)).strftime('%Y-%m-%d %H:%M:%S')
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# 不能直接使用里面的状态
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status=''
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if 'status' in crd_object and 'nodes' in crd_object['status']:
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keys = list(crd_object['status']['nodes'].keys())
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status = crd_object['status']['nodes'][keys[-1]]['phase']
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if status != 'Pending':
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status = crd_object['status']['phase']
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back_object = {
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"name": crd_object['metadata']['name'],
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"namespace": crd_object['metadata']['namespace'] if 'namespace' in crd_object['metadata'] else '',
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"annotations": crd_object['metadata'].get('annotations', {}),
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"labels": crd_object['metadata'].get('labels', {}),
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"spec": crd_object['spec'],
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"create_time": creat_time,
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"status": status,
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"status_more": check_status_time(crd_object['status']) if 'status' in crd_object else {}
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}
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if 'run-rtx' in back_object['labels']:
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back_object['username'] = back_object['labels']['run-rtx']
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elif 'upload-rtx' in back_object:
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back_object['username'] = back_object['labels']['upload-rtx']
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has_push, workflow = check_has_push(back_object,dbsession)
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if not has_push:
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try:
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deliver_message(workflow,dbsession)
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except Exception as e1:
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print('push fail:', e1)
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push_message(conf.get('ADMIN_USER').split(','),'push fail'+str(e1))
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save_history(workflow,dbsession)
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save_monitoring(workflow, dbsession)
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except Exception as e:
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print(e)
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# @pysnooper.snoop()
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def listen_workflow():
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workflow_info = conf.get('CRD_INFO')['workflow']
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namespace = conf.get('PIPELINE_NAMESPACE')
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w = watch.Watch()
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# label = 'pipelines.kubeflow.org/kfp_sdk_version=1.0.4'
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print('begin listen')
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while(True):
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try:
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for event in w.stream(client.CustomObjectsApi().list_namespaced_custom_object, group=workflow_info['group'],
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version=workflow_info["version"],
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namespace=namespace, plural=workflow_info["plural"]): # label_selector=label,
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if event['type']=='ADDED' or event['type']=='MODIFIED': # ADDED MODIFIED DELETED
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deal_event(event,workflow_info,namespace)
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elif event['type']=='ERROR':
|
||
w = watch.Watch()
|
||
time.sleep(60)
|
||
|
||
except Exception as ee:
|
||
print(ee)
|
||
|
||
# 不能使用异步io,因为stream会阻塞
|
||
if __name__=='__main__':
|
||
listen_workflow()
|
||
|
||
|