mirror of
https://github.com/tencentmusic/cube-studio.git
synced 2024-12-21 06:19:31 +08:00
324 lines
13 KiB
Python
324 lines
13 KiB
Python
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import time,datetime,logging,os,sys
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import asyncio
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from kubernetes import client as k8s_client
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from kubernetes import config as k8s_config
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from kubernetes import watch
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from os import path
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import json
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import requests
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from myapp.utils.py.py_k8s import check_status_time,K8s
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from sqlalchemy.exc import InvalidRequestError,OperationalError
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import pysnooper
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import myapp
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import math
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from myapp import app, db, security_manager
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from myapp.models.model_job import (
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Tfjob,
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Task
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)
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from myapp.utils.celery import session_scope
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from myapp.project import push_admin,push_message
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from myapp.models.model_job import Pipeline,Workflow
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from myapp.models.model_katib import Hyperparameter_Tuning,Experiments
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import pymysql
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conf=app.config
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from myapp.utils.py.py_prometheus import Prometheus
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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_client = 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(tfjob):
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if not tfjob:
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return
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receivers = tfjob.username.split(',')
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receivers = [receiver.strip() for receiver in receivers]
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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(tfjob.info_json)
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# print(info_json,experiments.status)
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if tfjob.status in info_json['alert_status'] and tfjob.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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workflow_name = info_json.get('workflow_name','')
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hp_name = info_json.get('hp_name', '')
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if workflow_name:
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message = "tfjob: %s \nworkflow: %s \nnamespace: %s\nstatus: %s \ntime: %s" % (tfjob.name,workflow_name,tfjob.namespace,tfjob.status,datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'))
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elif hp_name:
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message = "tfjob: %s \nhp: %s(%s) \nnamespace: %s\nstatus: %s \ntime: %s" % (tfjob.name,info_json.get('hp_name',''),info_json.get('describe',''),tfjob.namespace,tfjob.status,datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'))
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else:
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message = "tfjob: %s \nnamespace: %s\nstatus: %s \ntime: %s" % (tfjob.name,tfjob.namespace,tfjob.status,datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'))
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if message:
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push_message(receivers,message)
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# @pysnooper.snoop()
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def check_has_push(crd,dbsession):
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# 可能是workflow启动的或者是hp启动的
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workflow_name = crd['labels'].get('workflow-name','')
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hp_name = crd['labels'].get('hp-name', '')
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username = crd['username']
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alert_status = ''
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# 如果是从workflow中创建的
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if workflow_name:
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pipeline = dbsession.query(Pipeline).filter_by(name=workflow_name).first()
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if pipeline and pipeline.alert_status:
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alert_status = pipeline.alert_status
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print("tf %s from workflow_name %s,user %s,status %s" % (crd['name'],workflow_name,crd['username'],crd['status']))
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if hp_name:
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hp = dbsession.query(Hyperparameter_Tuning).filter_by(name=hp_name).first()
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if hp and hp.alert_status:
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alert_status = hp.alert_status
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print("tf %s from hp %s,user %s,status %s" % (crd['name'], workflow_name, crd['username'], crd['status']))
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# print("%s status %s"%(crd['name'], crd['status']))
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alert_status='Pending' # 这里写死，就是相当于必须且仅Pending告警
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info_json={
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"workflow_name":workflow_name,
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"hp_name":hp_name,
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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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tfjob = dbsession.query(Tfjob).filter(Tfjob.name==crd['name']).filter(Tfjob.namespace==crd['namespace']).first()
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if tfjob:
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print('exist tfjob')
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if tfjob.info_json:
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exist_info_json = json.loads(tfjob.info_json)
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info_json['has_push']=exist_info_json.get('has_push','')
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tfjob.create_time = crd['create_time']
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tfjob.status = crd['status']
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tfjob.annotations = json.dumps(crd['annotations'],indent=4,ensure_ascii=False)
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tfjob.labels = json.dumps(crd['labels'],indent=4,ensure_ascii=False)
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tfjob.spec = json.dumps(crd['spec'],indent=4,ensure_ascii=False),
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tfjob.status_more = json.dumps(crd['status_more'],indent=4,ensure_ascii=False)
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tfjob.username = crd['username']
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tfjob.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,tfjob
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else:
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return True,tfjob
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else:
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print('new tfjob')
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# crd['status_more']={}
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# crd['spec']={}
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tfjob = Tfjob(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(tfjob)
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dbsession.commit()
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return False,tfjob
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#
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# # 推送修改通知
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# @pysnooper.snoop()
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# def push_resource_rec(task,dbsession):
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# task_monitorings = json.loads(task.monitoring).get('tfjob',[])
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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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# init_message = 'pipeline(%s)中分布式训练%s，推荐资源如下，自行修改:\n' % (task.pipeline.describe,task.label)
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# message = init_message
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# # tfjob_src_mem=re.match(task.args.match("memory": "32G",))
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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)
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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，建议申请值:%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)
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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)，建议申请值:%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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#
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# dbsession.commit()
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# if message!=init_message:
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# push_message([task.pipeline.created_by.username],message)
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# @pysnooper.snoop()
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def save_monitoring(tfjob,dbsession):
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try:
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if tfjob.status=='Succeeded':
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task_id = json.loads(tfjob.labels).get('task-id','')
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if task_id:
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task = dbsession.query(Task).filter_by(id=int(task_id)).first()
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metrics = prometheus.get_resource_metric(tfjob.name, namespace='pipeline')
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monitoring = json.loads(task.monitoring) if task and task.monitoring else {}
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tfjob_monitoring = monitoring.get('tfjob', [])
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if metrics:
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tfjob_monitoring.append({
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"cpu": metrics.get('cpu', ''),
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"memory": metrics.get('memory', ''),
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"name": tfjob.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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tfjob_monitoring_new = []
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for metric in tfjob_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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tfjob_monitoring_new.append(metric)
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if len(tfjob_monitoring_new) > 10:
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del tfjob_monitoring_new[0]
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monitoring_new = {}
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monitoring_new['task'] = monitoring.get('task', [])
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monitoring_new['tfjob'] = tfjob_monitoring_new
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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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# print(pods)
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# push_resource_rec(task, 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(tfjob,dbsession):
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info_json = json.loads(tfjob.info_json)
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if info_json['has_push']:
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if not tfjob.status in info_json['has_push']:
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info_json['has_push'] += ',' + tfjob.status
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else:
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info_json['has_push'] = tfjob.status
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tfjob.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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client = k8s_client.CustomObjectsApi()
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exist_crd = client.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,crd_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=crd_info['group'], version=crd_info["version"], namespace=namespace,
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plural=crd_info["plural"], name=crd_object['metadata']['name'])
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if not exist_crd:
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print('not exist')
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return
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status = ''
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if 'status' in crd_object:
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if 'conditions' in crd_object['status']:
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if len(crd_object['status']['conditions']) > 0:
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if 'type' in crd_object['status']['conditions'][-1]:
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status = crd_object['status']['conditions'][-1]['type']
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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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back_object = {
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'username': '',
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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, crd_model = 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(crd_model)
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except Exception as e1:
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print('push fail:', e1)
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push_admin(str(e1))
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save_history(crd_model,dbsession)
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save_monitoring(crd_model,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_crd():
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crd_info = conf.get('CRD_INFO')['tfjob']
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namespace = conf.get('PIPELINE_NAMESPACE')
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w = watch.Watch()
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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(k8s_client.CustomObjectsApi().list_namespaced_custom_object, group=crd_info['group'],
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version=crd_info['version'],
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namespace=namespace, plural=crd_info['plural'], pretty='true'):
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if event['type']=='ADDED' or event['type']=='MODIFIED': # ADDED MODIFIED DELETED
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deal_event(event,crd_info,namespace)
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elif event['type']=='ERROR':
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w = watch.Watch()
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time.sleep(60)
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except Exception as ee:
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print(ee)
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# 不能使用异步io，因为stream会阻塞
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if __name__=='__main__':
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listen_crd()
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