import time,datetime, os from kubernetes import client from kubernetes import watch import json from myapp.utils.py.py_k8s import check_status_time,K8s import pysnooper from myapp import app from myapp.models.model_job import ( Tfjob, Task ) from myapp.utils.celery import session_scope from myapp.project import push_admin,push_message from myapp.models.model_job import Pipeline conf=app.config from myapp.utils.py.py_prometheus import Prometheus prometheus = Prometheus(conf.get('PROMETHEUS','')) cluster=os.getenv('ENVIRONMENT','').lower() if not cluster: print('no cluster %s'%cluster) exit(1) else: clusters = conf.get('CLUSTERS',{}) if clusters and cluster in clusters: kubeconfig = clusters[cluster].get('KUBECONFIG','') K8s(kubeconfig) else: print('no kubeconfig in cluster %s' % cluster) exit(1) # 推送消息 # @pysnooper.snoop() def deliver_message(tfjob): if not tfjob: return receivers = tfjob.username.split(',') receivers = [receiver.strip() for receiver in receivers] if not receivers: print('no receivers') return info_json = json.loads(tfjob.info_json) # print(info_json,experiments.status) if tfjob.status in info_json['alert_status'] and tfjob.status not in info_json['has_push']: receivers=list(set(receivers)) # data = { # "Sender": sender, # "Rcptto":receivers, # } workflow_name = info_json.get('workflow_name','') hp_name = info_json.get('hp_name', '') if workflow_name: 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')) elif hp_name: 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')) else: 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')) if message: push_message(receivers,message) # @pysnooper.snoop() def check_has_push(crd,dbsession): # 可能是workflow启动的或者是hp启动的 workflow_name = crd['labels'].get('workflow-name','') hp_name = crd['labels'].get('hp-name', '') username = crd['username'] alert_status = '' # 如果是从workflow中创建的 if workflow_name: pipeline = dbsession.query(Pipeline).filter_by(name=workflow_name).first() if pipeline and pipeline.alert_status: alert_status = pipeline.alert_status print("tf %s from workflow_name %s,user %s,status %s" % (crd['name'],workflow_name,crd['username'],crd['status'])) # print("%s status %s"%(crd['name'], crd['status'])) alert_status='Pending' # 这里写死，就是相当于必须且仅Pending告警 info_json={ "workflow_name":workflow_name, "hp_name":hp_name, "alert_status": alert_status, "has_push":'' } # print(crd['name'],crd['namespace']) tfjob = dbsession.query(Tfjob).filter(Tfjob.name==crd['name']).filter(Tfjob.namespace==crd['namespace']).first() if tfjob: print('exist tfjob') if tfjob.info_json: exist_info_json = json.loads(tfjob.info_json) info_json['has_push']=exist_info_json.get('has_push','') tfjob.create_time = crd['create_time'] tfjob.status = crd['status'] tfjob.annotations = json.dumps(crd['annotations'],indent=4,ensure_ascii=False) tfjob.labels = json.dumps(crd['labels'],indent=4,ensure_ascii=False) tfjob.spec = json.dumps(crd['spec'],indent=4,ensure_ascii=False), tfjob.status_more = json.dumps(crd['status_more'],indent=4,ensure_ascii=False) tfjob.username = crd['username'] tfjob.info_json = json.dumps(info_json,indent=4,ensure_ascii=False) dbsession.commit() if crd['status'] in info_json['alert_status'] and crd['status'] not in info_json['has_push']: return False,tfjob else: return True,tfjob else: print('new tfjob') # crd['status_more']={} # crd['spec']={} tfjob = Tfjob(name=crd['name'],namespace=crd['namespace'],create_time=crd['create_time'], status=crd['status'], annotations=json.dumps(crd['annotations'],indent=4,ensure_ascii=False), labels=json.dumps(crd['labels'],indent=4,ensure_ascii=False), spec=json.dumps(crd['spec'],indent=4,ensure_ascii=False), status_more=json.dumps(crd['status_more'],indent=4,ensure_ascii=False), username=username, info_json=json.dumps(info_json,indent=4,ensure_ascii=False)) dbsession.add(tfjob) dbsession.commit() return False,tfjob # # # 推送修改通知 # @pysnooper.snoop() # def push_resource_rec(task,dbsession): # task_monitorings = json.loads(task.monitoring).get('tfjob',[]) # if len(task_monitorings)>9: # max_cpu = 0 # max_memory=0 # 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) # message = init_message # # tfjob_src_mem=re.match(task.args.match("memory": "32G",)) # for task_monitoring in task_monitorings: # if float(task_monitoring.get('cpu',0))>max_cpu: # max_cpu = float(task_monitoring.get('cpu',0)) # if float(task_monitoring.get('memory', 0)) > max_memory: # max_memory = float(task_monitoring.get('memory', 0)) # if max_cpu: # rec_cpu = math.ceil(max_cpu*1.4) # if rec_cpu>150: # rec_cpu=150 # if rec_cpu!=int(task.resource_cpu): # 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) # task.resource_cpu = str(rec_cpu) # if max_memory: # rec_memory = math.ceil(max_memory*1.4) # if rec_memory>350: # rec_memory=350 # if rec_memory!=int(task.resource_memory.replace('G','').replace('M','')): # 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") # task.resource_memory = str(rec_memory)+"G" # # dbsession.commit() # if message!=init_message: # push_message([task.pipeline.created_by.username],message) # @pysnooper.snoop() def save_monitoring(tfjob,dbsession): try: if tfjob.status=='Succeeded': task_id = json.loads(tfjob.labels).get('task-id','') if task_id: task = dbsession.query(Task).filter_by(id=int(task_id)).first() metrics = prometheus.get_resource_metric(tfjob.name, namespace='pipeline') monitoring = json.loads(task.monitoring) if task and task.monitoring else {} tfjob_monitoring = monitoring.get('tfjob', []) if metrics: tfjob_monitoring.append({ "cpu": metrics.get('cpu', ''), "memory": metrics.get('memory', ''), "name": tfjob.name, "update_time": datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S') }) # 清理监控记录 tfjob_monitoring_new = [] for metric in tfjob_monitoring: # 采集结果不对的，和采集结果太久远的都清理掉 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'): tfjob_monitoring_new.append(metric) if len(tfjob_monitoring_new) > 10: del tfjob_monitoring_new[0] monitoring_new = {} monitoring_new['task'] = monitoring.get('task', []) monitoring_new['tfjob'] = tfjob_monitoring_new print(monitoring_new) if task: task.monitoring = json.dumps(monitoring_new,ensure_ascii=False,indent=4) dbsession.commit() # print(pods) # push_resource_rec(task, dbsession) except Exception as e: print(e) # @pysnooper.snoop() def save_history(tfjob,dbsession): info_json = json.loads(tfjob.info_json) if info_json['has_push']: if not tfjob.status in info_json['has_push']: info_json['has_push'] += ',' + tfjob.status else: info_json['has_push'] = tfjob.status tfjob.info_json = json.dumps(info_json, indent=4, ensure_ascii=False) dbsession.commit() # @pysnooper.snoop() def check_crd_exist(group,version,namespace,plural,name): exist_crd = client.CustomObjectsApi().get_namespaced_custom_object(group,version,namespace,plural,name) return exist_crd @pysnooper.snoop() def deal_event(event,crd_info,namespace): with session_scope(nullpool=True) as dbsession: try: crd_object = event['object'] exist_crd = check_crd_exist(group=crd_info['group'], version=crd_info["version"], namespace=namespace, plural=crd_info["plural"], name=crd_object['metadata']['name']) if not exist_crd: print('not exist') return status = '' if 'status' in crd_object: if 'conditions' in crd_object['status']: if len(crd_object['status']['conditions']) > 0: if 'type' in crd_object['status']['conditions'][-1]: status = crd_object['status']['conditions'][-1]['type'] creat_time = crd_object['metadata']['creationTimestamp'].replace('T', ' ').replace('Z', '') creat_time = (datetime.datetime.strptime(creat_time, '%Y-%m-%d %H:%M:%S') + datetime.timedelta(hours=8)).strftime('%Y-%m-%d %H:%M:%S') back_object = { 'username': '', "name": crd_object['metadata']['name'], "namespace": crd_object['metadata']['namespace'] if 'namespace' in crd_object['metadata'] else '', "annotations": crd_object['metadata'].get('annotations', {}), "labels": crd_object['metadata'].get('labels', {}), "spec": crd_object['spec'], "create_time": creat_time, "status": status, "status_more": check_status_time(crd_object['status']) if 'status' in crd_object else {} } if 'run-rtx' in back_object['labels']: back_object['username'] = back_object['labels']['run-rtx'] elif 'upload-rtx' in back_object: back_object['username'] = back_object['labels']['upload-rtx'] has_push, crd_model = check_has_push(back_object,dbsession) if not has_push: try: deliver_message(crd_model) except Exception as e1: print('push fail:', e1) push_admin(str(e1)) save_history(crd_model,dbsession) save_monitoring(crd_model,dbsession) except Exception as e: print(e) @pysnooper.snoop() def listen_crd(): crd_info = conf.get('CRD_INFO')['tfjob'] namespace = conf.get('PIPELINE_NAMESPACE') w = watch.Watch() print('begin listen') while(True): try: for event in w.stream(client.CustomObjectsApi().list_namespaced_custom_object, group=crd_info['group'], version=crd_info['version'], namespace=namespace, plural=crd_info['plural'], pretty='true'): if event['type']=='ADDED' or event['type']=='MODIFIED': # ADDED MODIFIED DELETED deal_event(event,crd_info,namespace) 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_crd()