python中怎么利用Element 显示主机系统资源使用率,相信很多没有经验的人对此束手无策,为此本文总结了问题出现的原因和解决方法,通过这篇文章希望你能解决这个问题。
<div id="app"> <div class="col-md-10 col-md-offset-1" > <div class="container-fluid mb0 " > <div class="row"> <div class="col-md-6"> <form class="form-horizontal"> <div class="form-group clearfix "> <label class="col-sm-4 control-label bk-lh40 pt0">选择主机:</label> <div class="col-sm-8"> <el-select v-model="searchHost" placeholder="请选择主机" @change="changeHost"> <el-option v-for="item in HostData" :label="item.ip" :value="item.pk"></el-option> </el-select> </div> </div> </form> </div> </div> </div> <div id="load" ></div> </div> </div>
<script type="text/javascript"> new Vue({ el: '#app', data: { searchHost:'', HostData:[] }, mounted() { // 页面加载就获取所有模板 this.init(); }, methods: { init() { axios.get(site_url + "get_monitored_host/").then(res => { if (res.data.result){ this.HostData = res.data.data; }else{ this.$message.error('获取业务失败'); } },'json'); }, changeHost(){ axios.post(site_url + "get_host_load_data/", {"pk": this.searchHost}).then(res => { if (res.data.result) { this.chartBar = echarts.init(document.getElementById('load')); this.chartBar.setOption({ title: { text: '主机MEM,DOSK,CPU使用率曲线图' }, tooltip: { trigger: 'axis' }, legend: { data:res.data.data.data1 }, grid: { left: '3%', right: '4%', bottom: '3%', containLabel: true }, toolbox: { feature: { saveAsImage: {} } }, xAxis: { type: 'category', boundaryGap: false, data: res.data.data.data2 }, yAxis: { type: 'value' }, series: res.data.data.data3 }) } else { this.$message.error('更新主机MEM,DOSK,CPU使用率失败'); } }, 'json'); } } }) </script>
urls.py
文件内容
from django.conf.urls import patterns from home_application.host import views as host_view urlpatterns = patterns( 'home_application.views', (r'^status/$', host_view.status), (r'^get_monitored_host/$', host_view.get_monitored_host), (r'^get_host_load_data/$', host_view.get_host_load_data), ... )
host\views.py
文件内容
import json import random from home_application.models import Host, LoadData from home_application.utils.parse_time import get_range_date_list def status(request): return render_mako_context(request, "/home_application/status.html") def get_monitored_host(request): host_query = Host.objects.filter(is_monitored=True) res_data = [i.to_dict() for i in host_query] return JsonResponse({"result": True, "data": res_data}) def get_host_load_data(request): # data = json.loads(request.body) # pk = data.get("pk") # load_query = LoadData.objects.filter(host_id=pk).order_by("create_time") # res_data = [i.to_dict() for i in load_query] res_data = { "data1": ['cpu', 'disk', 'mem'], "data2": get_range_date_list(100), "data3": [ { "name": 'cpu', "type": 'line', "stack": '使用率', "data": [random.randint(1, 100) for i in range(100)] }, { "name": 'disk', "type": 'line', "stack": '使用率', "data": [random.randint(1, 100) for i in range(100)] }, { "name": 'mem', "type": 'line', "stack": '使用率', "data": [random.randint(1, 100) for i in range(100)] } ] } return JsonResponse({"result": True, "data": res_data})
models.py
文件内容
from django.db import models from home_application.utils.parse_time import parse_datetime_to_timestr class LoadData(models.Model): host_id = models.IntegerField(u"主机ID", default=0) cpu = models.IntegerField(u"CPU使用率", default=0) mem = models.IntegerField(u"内存使用率", default=0) disk = models.IntegerField(u"硬盘使用率", default=0) create_time = models.DateTimeField(u"创建时间", auto_now_add=True) def to_dict(self): return { "host_id": self.host_id, "cpu": self.cpu, "mem": self.mem, "disk": self.disk, "create_time": parse_datetime_to_timestr(self.create_time) }
实现效果
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