schedule.py
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# coding=utf-8
# author: resioR
#createtime: 2021/12/1
#email: qianyingz@chinadci.com
# import schedule
from flask import json
from .models import MonitorHost, MonitorInfo
from datetime import datetime, timedelta
import math
import uuid
import schedule
from app.util.component.RunContinuous import run_continuously
from app.util.component.PGUtil import PGUtil
import configure
from app.util.component.StructurePrint import StructurePrint
import traceback
import requests
min_size = 60
size = 60
def pull_metric():
try:
# 获获取服务器信息
sys_session = PGUtil.get_db_session(
configure.SQLALCHEMY_DATABASE_URI)
sys_ds = PGUtil.open_pg_data_source(
0, configure.SQLALCHEMY_DATABASE_URI)
# 拉取服务器信息
hosts = sys_session.query(
MonitorHost.host)
for host in hosts:
try:
host_name = host.host
request_uri = "http://{}".format(host_name)
response = requests.request("get", request_uri)
if response.status_code == 200:
text = response.text
data = json.loads(text)
len_metric = len(data)
if len_metric > min_size:
metric_data = data[len_metric-min_size:len_metric]
else:
continue
type_list = ["cpu_per", "memory_per", "disk_per",
"disk_read", "disk_write", "disk_read_count",
"disk_write_count", "network_send", "network_recv"]
for type in type_list:
sample_data = get_sample_data(
metric_data, type, host_name)
sys_session.add_all(sample_data)
sys_session.commit()
except Exception as e:
StructurePrint().print(e.__str__()+":" + traceback.format_exc(), "error")
# 获取数据并汇聚为1min的数据入库
# 结束
except Exception as e:
StructurePrint().print(e.__str__()+":" + traceback.format_exc(), "error")
finally:
if sys_session:
try:
sys_session.close()
except Exception as e:
StructurePrint().print(e.__str__()+":" + traceback.format_exc(), "error")
if sys_ds:
try:
sys_ds.Destroy()
except Exception as e:
StructurePrint().print(e.__str__()+":" + traceback.format_exc(), "error")
#每天清理7天前的数据
def monitor_vacuuming():
try:
current_date = datetime.now()
last_7_date = current_date+timedelta(days=-7)
current_hour = current_date.hour
if current_hour == 0:
sys_session = PGUtil.get_db_session(
configure.SQLALCHEMY_DATABASE_URI)
sys_ds = PGUtil.open_pg_data_source(
0, configure.SQLALCHEMY_DATABASE_URI)
info_orm = sys_session.query(MonitorInfo).filter(
MonitorInfo.time_stamp < last_7_date)
count = info_orm.count()
info_orm.delete()
sys_session.commit()
StructurePrint().print("MonitorInfo清理%d条监控数据" % count, "info")
except Exception as e:
StructurePrint().print(e.__str__()+":" + traceback.format_exc(), "error")
finally:
if sys_session:
try:
sys_session.close()
except Exception as e:
StructurePrint().print(e.__str__()+":" + traceback.format_exc(), "error")
if sys_ds:
try:
sys_ds.Destroy()
except Exception as e:
StructurePrint().print(e.__str__()+":" + traceback.format_exc(), "error")
def start_schedule():
try:
StructurePrint().print("start_schedule")
# 1分钟巡检一次
schedule.every(1).minutes.do(pull_metric)
# 每天00:00清理数据
schedule.every().day.at('00:00').do(monitor_vacuuming)
stop_run_continuously = run_continuously()
except Exception as e:
StructurePrint().print("start_schedule:"+e.__str__() +
":" + traceback.format_exc(), "error")
# Do some other things...
# # Stop the background thread
# time.sleep(10)
# stop_run_continuously.set()
def get_sample_data(orginal, name, host):
res = []
size = len(orginal)
# orginal_stamp = {'head': 1, 'tail': size}
if size > 1:
stamp = {
# 'P0': 1,
'P50': math.floor(0.5*size),
# 'P90': math.floor(0.9*size),
'P95': math.floor(0.95*size),
# 'P99': math.floor(0.99*size),
'P100': size}
elif size == 1:
stamp = {
# 'P0': 1,
'P50': size,
# 'P90': size,
'P95': size,
# 'P99': size,
'P100': size}
else:
return res
# for key in dict.keys(orginal_stamp):
# cur_data = orginal[orginal_stamp[key]-1]
# info = get_data(key, host, name, cur_data)
# res.append(info)
data = sorted(orginal, key=lambda x: x[name])
for key in dict.keys(stamp):
cur_data = data[stamp[key]-1]
info = get_data(key, host, name, cur_data)
res.append(info)
return res
def get_data(stamp, host, metrics_name, cur_data):
time_stamp = datetime.strptime(
cur_data['timestamp'], "%Y-%m-%d %H:%M:%S")
date_stamp = time_stamp.strftime("%Y-%m-%d")
guid = uuid.uuid1().__str__()
value = cur_data[metrics_name]
info = MonitorInfo(guid=guid,
server=host,
date_stamp=date_stamp,
time_stamp=time_stamp,
stamp=stamp,
value=value,
metrics=metrics_name)
return info