metrics.py
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from datetime import datetime, timedelta
from sqlalchemy.sql.functions import func
from .models import MonitorLog, db
from sqlalchemy import and_
from app.util.component.ApiTemplate import ApiTemplate
class Api(ApiTemplate):
api_name = "统计指标"
def process(self):
# 返回结果
res = {}
res["data"] = {}
logs = []
try:
server = self.para.get("server") # server
# metrics_type = self.para.get("metrics_type")
grain = self.para.get("grain")
count = int(self.para.get("count"))
start_time = self.para.get("start")
to_time = self.para.get("to")
cur_now = datetime.now()
start_datetime = datetime.strptime(start_time, "%Y-%m-%d %H:%M:%S")
end_datetime = datetime.strptime(to_time, "%Y-%m-%d %H:%M:%S")
if grain == "day":
# 粒度是一天
format = "%Y-%m-%d"
logs = db.session.query(MonitorLog.date_stamp.label("key"), func.avg(MonitorLog.cpu_usage).label("cpu_usage"),
func.avg(MonitorLog.total_mem).label(
"total_mem"),
func.avg(MonitorLog.available_mem).label(
"available_mem"),
func.avg(MonitorLog.used_mem).label(
"used_mem"),
func.avg(MonitorLog.disk).label(
"disk"),
func.avg(MonitorLog.disk_usage).label(
"disk_usage"),
func.avg(MonitorLog.net_recv).label(
"net_recv"),
func.avg(MonitorLog.net_send).label("net_send")).filter(and_(
MonitorLog.date_stamp <= end_datetime.strftime(
format),
MonitorLog.date_stamp > start_datetime.strftime(
format),
MonitorLog.server == server)).group_by(MonitorLog.date_stamp).order_by(MonitorLog.date_stamp.asc()).all()
keys = []
keys_map = {}
while start_datetime <= end_datetime:
keys.append(self.get_monitor_log(
start_datetime.strftime('%Y-%m-%d')))
keys_map[start_datetime.strftime('%Y-%m-%d')] = len(keys)-1
start_datetime += timedelta(days=1)
res["data"] = self.get_result(logs, keys, keys_map)
elif grain == "minu_five":
# 粒度是5分钟
cur_minu = int(end_datetime.strftime("%M")) % 5
logs = db.session.query(MonitorLog.hour_stamp.label("hour_stamp"),
MonitorLog.f_minu_stamp.label(
"minu_stamp"),
func.avg(MonitorLog.cpu_usage).label(
"cpu_usage"),
func.avg(MonitorLog.total_mem).label(
"total_mem"),
func.avg(MonitorLog.available_mem).label(
"available_mem"),
func.avg(MonitorLog.used_mem).label(
"used_mem"),
func.avg(MonitorLog.disk).label(
"disk"),
func.avg(MonitorLog.disk_usage).label(
"disk_usage"),
func.avg(MonitorLog.net_recv).label(
"net_recv"),
func.avg(MonitorLog.net_send).label("net_send")).filter(and_(
MonitorLog.time_stamp <= "{}:00".format(
end_datetime.strftime("%Y-%m-%d %H:%M")),
MonitorLog.time_stamp >= "{}:00".format(
start_datetime.strftime("%Y-%m-%d %H:%M")),
MonitorLog.server == server)).group_by(MonitorLog.date_stamp, MonitorLog.hour_stamp, MonitorLog.f_minu_stamp).order_by(
MonitorLog.hour_stamp.asc(), MonitorLog.f_minu_stamp.asc()).all()
keys = []
keys_map = {}
while start_datetime <= end_datetime:
key = start_datetime.strftime('%H:%M')
keys.append(self.get_monitor_log(key))
keys_map[key] = len(keys)-1
start_datetime += timedelta(minutes=5)
logs = list(map(lambda log:
{"key": "%02d:%02d" % (log.hour_stamp, log.minu_stamp*5+cur_minu),
"cpu_usage": log.cpu_usage, "total_mem": log.total_mem,
"available_mem": log.available_mem, "used_mem": log.used_mem, "disk": log.disk, "disk_usage": log.disk_usage,
"net_recv": log.net_recv, "net_send": log.net_send},
logs))
res["data"] = self.get_result_from_list(logs, keys, keys_map)
elif grain == "minu_ten":
# 粒度是10分钟
cur_minu = int(end_datetime.strftime("%M")) % 10
logs = db.session.query(MonitorLog.hour_stamp.label("hour_stamp"),
MonitorLog.d_minu_stamp.label(
"minu_stamp"),
func.avg(MonitorLog.cpu_usage).label(
"cpu_usage"),
func.avg(MonitorLog.total_mem).label(
"total_mem"),
func.avg(MonitorLog.available_mem).label(
"available_mem"),
func.avg(MonitorLog.used_mem).label(
"used_mem"),
func.avg(MonitorLog.disk).label(
"disk"),
func.avg(MonitorLog.disk_usage).label(
"disk_usage"),
func.avg(MonitorLog.net_recv).label(
"net_recv"),
func.avg(MonitorLog.net_send).label("net_send")).filter(and_(
MonitorLog.time_stamp <= "{}:00".format(
end_datetime.strftime("%Y-%m-%d %H:%M")),
MonitorLog.time_stamp >= "{}:00".format(
start_datetime.strftime("%Y-%m-%d %H:%M")),
MonitorLog.server == server)).group_by(MonitorLog.date_stamp,
MonitorLog.hour_stamp,
MonitorLog.d_minu_stamp).order_by(MonitorLog.hour_stamp.asc(), MonitorLog.d_minu_stamp.asc()).all()
keys = []
keys_map = {}
while start_datetime <= end_datetime:
key = start_datetime.strftime('%H:%M')
keys.append(self.get_monitor_log(key))
keys_map[key] = len(keys)-1
start_datetime += timedelta(minutes=10)
logs = list(map(lambda log:
{"key": "%02d:%02d" % (log.hour_stamp, log.minu_stamp*10+cur_minu),
"cpu_usage": log.cpu_usage, "total_mem": log.total_mem,
"available_mem": log.available_mem, "used_mem": log.used_mem, "disk": log.disk, "disk_usage": log.disk_usage,
"net_recv": log.net_recv, "net_send": log.net_send},
logs))
res["data"] = self.get_result_from_list(logs, keys, keys_map)
elif grain == "hour":
# 粒度是一小时
logs = db.session.query(MonitorLog.hour_stamp.label("key"), func.avg(MonitorLog.cpu_usage).label("cpu_usage"),
func.avg(MonitorLog.total_mem).label(
"total_mem"),
func.avg(MonitorLog.available_mem).label(
"available_mem"),
func.avg(MonitorLog.used_mem).label(
"used_mem"),
func.avg(MonitorLog.disk).label(
"disk"),
func.avg(MonitorLog.disk_usage).label(
"disk_usage"),
func.avg(MonitorLog.net_recv).label(
"net_recv"),
func.avg(MonitorLog.net_send).label("net_send")).filter(and_(
MonitorLog.time_stamp <= "{}:59:59".format(
end_datetime.strftime("%Y-%m-%d %H")),
MonitorLog.time_stamp >= "{}:59:59".format(
start_datetime.strftime("%Y-%m-%d %H")),
MonitorLog.server == server)).group_by(MonitorLog.hour_stamp).order_by(MonitorLog.hour_stamp.asc()).all()
keys = []
keys_map = {}
while start_datetime <= end_datetime:
key = int(start_datetime.strftime('%H'))
keys.append(self.get_monitor_log("%02d时" % key))
keys_map[str(key)] = len(keys)-1
start_datetime += timedelta(hours=1)
res["data"] = self.get_result(logs, keys, keys_map)
else:
# 按分钟统计
logs = db.session.query(MonitorLog.hour_stamp.label("hour_stamp"), MonitorLog.minu_stamp.label("minu_stamp"), func.avg(MonitorLog.cpu_usage).label("cpu_usage"),
func.avg(MonitorLog.total_mem).label(
"total_mem"),
func.avg(MonitorLog.available_mem).label(
"available_mem"),
func.avg(MonitorLog.used_mem).label("used_mem"),
func.avg(MonitorLog.disk).label(
"disk"),
func.avg(MonitorLog.disk_usage).label(
"disk_usage"),
func.avg(MonitorLog.net_recv).label(
"net_recv"),
func.avg(MonitorLog.net_send).label("net_send")).filter(and_(
MonitorLog.time_stamp <= end_datetime.strftime("%Y-%m-%d %H:%M:%S"),
MonitorLog.time_stamp >= start_datetime.strftime("%Y-%m-%d %H:%M:%S"),
MonitorLog.server == server)).group_by(MonitorLog.hour_stamp, MonitorLog.minu_stamp).order_by(
MonitorLog.hour_stamp.asc(), MonitorLog.minu_stamp.asc()).all()
keys = []
keys_map = {}
while start_datetime <= end_datetime:
key = start_datetime.strftime('%H:%M')
keys.append(self.get_monitor_log(key))
keys_map[key] = len(keys)-1
start_datetime += timedelta(minutes=1)
logs = list(map(lambda log:
{"key": "%02d:%02d" % (log.hour_stamp, log.minu_stamp),
"cpu_usage": log.cpu_usage, "total_mem": log.total_mem,
"available_mem": log.available_mem, "used_mem": log.used_mem, "disk": log.disk, "disk_usage": log.disk_usage,
"net_recv": log.net_recv, "net_send": log.net_send},
logs))
res["data"] = self.get_result_from_list(logs, keys, keys_map)
res["result"] = True
except Exception as e:
raise e
return res
api_doc = {
"tags": ["监控接口"],
"parameters": [
{"name": "server",
"in": "query",
"type": "string",
"description": "服务器地址"},
{"name": "grain",
"in": "query",
"type": "string",
"description": "指标粒度：minu：分钟，minu_five：5分钟，minu_ten：10分钟，hour：1小时，day：每天"},
{"name": "count",
"in": "query",
"type": "string",
"description": "个数"},
{"name": "to",
"in": "query",
"type": "string",
"description": "查询终止时间"},
{"name": "start",
"in": "query",
"type": "string",
"description": "查询起始时间"}
],
"responses": {
200: {
"schema": {
"properties": {
}
}
}
}
}
def get_monitor_log(self, key):
return {"key": key,
"cpu_usage": None, "total_mem": None,
"available_mem": None, "used_mem": None, "disk": None, "disk_usage": None,
"net_recv": None, "net_send": None}
def get_result(self, logs, keys, keys_map):
keys_map_key=keys_map.keys()
for log in logs:
if str(log.key) in keys_map_key:
tmp = keys[keys_map[str(log.key)]]
if tmp != None:
tmp['cpu_usage'] = log.cpu_usage
tmp['total_mem'] = log.total_mem
tmp['available_mem'] = log.available_mem
tmp['used_mem'] = log.used_mem
tmp['disk'] = log.disk
tmp['disk_usage'] = log.disk_usage
tmp['net_recv'] = log.net_recv
tmp['net_send'] = log.net_send
return keys
def get_result_from_list(self, logs, keys, keys_map):
keys_map_key=keys_map.keys()
for log in logs:
if str(log["key"]) in keys_map_key:
tmp = keys[keys_map[str(log["key"])]]
if tmp != None:
tmp['cpu_usage'] = log["cpu_usage"]
tmp['total_mem'] = log["total_mem"]
tmp['available_mem'] = log["available_mem"]
tmp['used_mem'] = log["used_mem"]
tmp['disk'] = log["disk"]
tmp['disk_usage'] = log["disk_usage"]
tmp['net_recv'] = log["net_recv"]
tmp['net_send'] = log["net_send"]
return keys