网站全国IP访问大屏幕显示

   接触Python有一段时间了，经常用来做一些好玩的事，前几天跟领导聊天说到，要是能够实现全国各地访问流量的显示，那就最好了，刚好要申请一些大屏幕来，所以就想到了做这个。确实稍微大点的公司都有这类东西，确实很酷炫了，自己也搞一个这样的。下面说一下实现过程：

1、首先是数据：采集的话我选择的是读取nginx日志。可以提供的思路是，我们选择同一收集的方式，收集到大数据分析机器(同意收集的工具还是很多的，比如rsyslog)，然后通过正则或者一类东西筛选出我们需要的IP（当然日志肯定是按天切割的）:

2、收集到的数据，通过调用公网的IP查询接口进行筛选，筛选，找出对应的城市、入库

3、最后就是前端展示了，这里我选用的是百度的echarts，百度已经提供了比较完善的API和说明文档，自己去阅读就好。

给一下前端的代码：

                       // 路径配置         require.config({             paths: {                 echarts: 'http://echarts.baidu.com/build/dist'             }         });                  // 使用         require(             [                 'echarts',                 'echarts/chart/map'              ],             function (ec) {                 // 基于准备好的dom，初始化echarts图表                 var myChart = ec.init(document.getElementById('main'));                                   var option = {     backgroundColor: '#1b1b1b',     color: ['gold','aqua','lime'],     title : {         text: '众划算',         subtext:'全国各地访问数据',         x:'center',         textStyle : {             color: '#fff'         }     },     tooltip : {         trigger: 'item',         formatter: '{b}'     },     legend: {         orient: 'vertical',         x:'left',         data:['北京 Top10'],         selectedMode: 'single',         selected:{             '上海 Top10' : false,             '广州 Top10' : false         },         textStyle : {             color: '#fff'         }     },     toolbox: {         show : true,         orient : 'vertical',         x: 'right',         y: 'center',         feature : {             mark : {show: true},             dataView : {show: true, readOnly: false},             restore : {show: true},             saveAsImage : {show: true}         }     },     dataRange: {         min : 0,         max : 100,         calculable : true,         color: ['#ff3333', 'orange', 'yellow','lime','aqua'],         textStyle:{             color:'#fff'         }     },     series : [         {             name: '全国',             type: 'map',             roam: true,             hoverable: false,             mapType: 'china',             itemStyle:{                 normal:{                     borderColor:'rgba(100,149,237,1)',                     borderWidth:0.5,                     areaStyle:{                         color: '#1b1b1b'                     }                 }             },             data:[],             markLine : {                 smooth:true,                 symbol: ['none', 'circle'],                   symbolSize : 1,                 itemStyle : {                     normal: {                         color:'#fff',                         borderWidth:1,                         borderColor:'rgba(30,144,255,0.5)'                     }                 },                 data : [                     [{name:'北京'},{name:'内蒙古'}],                     [{name:'北京'},{name:'北海'}],                     [{name:'北京'},{name:'广东'}],                     [{name:'北京'},{name:'河南'}],                     [{name:'北京'},{name:'吉林'}],                     [{name:'北京'},{name:'长治'}],                     [{name:'北京'},{name:'重庆'}],                     [{name:'北京'},{name:'湖南'}],                      [{name:'北京'},{name:'常州'}],                     [{name:'北京'},{name:'丹东'}],                     [{name:'北京'},{name:'辽宁'}],                     [{name:'北京'},{name:'东营'}],                     [{name:'北京'},{name:'延安'}],                     [{name:'北京'},{name:'福建'}],                     [{name:'北京'},{name:'海口'}],                     [{name:'北京'},{name:'呼和浩特'}],                     [{name:'北京'},{name:'安徽'}],                     [{name:'北京'},{name:'杭州'}],                     [{name:'北京'},{name:'黑龙江'}],                     [{name:'北京'},{name:'舟山'}],                     [{name:'北京'},{name:'银川'}],                     [{name:'北京'},{name:'衢州'}],                     [{name:'北京'},{name:'江西'}],                     [{name:'北京'},{name:'云南'}],                     [{name:'北京'},{name:'贵州'}],                     [{name:'北京'},{name:'甘肃'}],                     [{name:'北京'},{name:'广西'}],                     [{name:'北京'},{name:'拉萨'}],                     [{name:'北京'},{name:'连云港'}],                     [{name:'北京'},{name:'临沂'}],                     [{name:'北京'},{name:'柳州'}],                     [{name:'北京'},{name:'宁波'}],                     [{name:'北京'},{name:'南京'}],                     [{name:'北京'},{name:'南宁'}],                     [{name:'北京'},{name:'江苏'}],                     [{name:'北京'},{name:'上海'}],                     [{name:'北京'},{name:'沈阳'}],                     [{name:'北京'},{name:'陕西'}],                     [{name:'北京'},{name:'汕头'}],                     [{name:'北京'},{name:'深圳'}],                     [{name:'北京'},{name:'青岛'}],                     [{name:'北京'},{name:'山东'}],                     [{name:'北京'},{name:'山西'}],                     [{name:'北京'},{name:'乌鲁木齐'}],                     [{name:'北京'},{name:'潍坊'}],                     [{name:'北京'},{name:'威海'}],                     [{name:'北京'},{name:'浙江'}],                      [{name:'北京'},{name:'无锡'}],                     [{name:'北京'},{name:'厦门'}],                     [{name:'北京'},{name:'西宁'}],                     [{name:'北京'},{name:'徐州'}],                     [{name:'北京'},{name:'烟台'}],                     [{name:'北京'},{name:'盐城'}],                     [{name:'北京'},{name:'珠海'}],                     [{name:'北京'},{name:'香港'}],                     [{name:'北京'},{name:'湖北'}],                          ],             },             geoCoord: {                 '上海': [121.4648,31.2891],                 '东莞': [113.8953,22.901],                 '东营': [118.7073,37.5513],                 '中山': [113.4229,22.478],                 '临汾': [111.4783,36.1615],                 '临沂': [118.3118,35.2936],                 '丹东': [124.541,40.4242],                 '丽水': [119.5642,28.1854],                 '乌鲁木齐': [87.9236,43.5883],                 '佛山': [112.8955,23.1097],                 '河北': [115.0488,39.0948],                 '甘肃': [103.5901,36.3043],                 '内蒙古': [110.3467,41.4899],                 '北京': [116.4551,40.2539],                 '北海': [109.314,21.6211],                 '南京': [118.8062,31.9208],                 '南宁': [108.479,23.1152],                 '广西': [108.479,23.1154],                 '江西': [116.0046,28.6633],                 '江苏': [121.1023,32.1625],                 '厦门': [118.1689,24.6478],                 '台州': [121.1353,28.6688],                 '安徽': [117.29,32.0581],                 '呼和浩特': [111.4124,40.4901],                 '咸阳': [108.4131,34.8706],                 '黑龙江': [127.9688,45.368],                 '唐山': [118.4766,39.6826],                 '嘉兴': [120.9155,30.6354],                 '大同': [113.7854,39.8035],                 '辽宁': [122.2229,39.4409],                 '天津': [117.4219,39.4189],                 '山西': [112.3352,37.9413],                 '威海': [121.9482,37.1393],                 '宁波': [121.5967,29.6466],                 '宝鸡': [107.1826,34.3433],                 '宿迁': [118.5535,33.7775],                 '常州': [119.4543,31.5582],                 '广东': [113.5107,23.2196],                 '香港': [113.5107,31.3569],                 '廊坊': [116.521,39.0509],                 '延安': [109.1052,36.4252],                 '张家口': [115.1477,40.8527],                 '徐州': [117.5208,34.3268],                 '德州': [116.6858,37.2107],                 '惠州': [114.6204,23.1647],                 '四川': [103.9526,30.7617],                 '扬州': [119.4653,32.8162],                 '承德': [117.5757,41.4075],                 '拉萨': [91.1865,30.1465],                 '无锡': [120.3442,31.5527],                 '日照': [119.2786,35.5023],                 '云南': [102.9199,25.4663],                 '杭州': [119.5313,29.8773],                 '枣庄': [117.323,34.8926],                 '柳州': [109.3799,24.9774],                 '株洲': [113.5327,27.0319],                 '湖北': [114.3896,30.6628],                 '汕头': [117.1692,23.3405],                 '江门': [112.6318,22.1484],                 '沈阳': [123.1238,42.1216],                 '沧州': [116.8286,38.2104],                 '河源': [114.917,23.9722],                 '泉州': [118.3228,25.1147],                 '泰安': [117.0264,36.0516],                 '泰州': [120.0586,32.5525],                 '山东': [117.1582,36.8701],                 '济宁': [116.8286,35.3375],                 '海口': [110.3893,19.8516],                 '淄博': [118.0371,36.6064],                 '淮安': [118.927,33.4039],                 '深圳': [114.5435,22.5439],                 '清远': [112.9175,24.3292],                 '浙江': [120.498,27.8119],                 '渭南': [109.7864,35.0299],                 '湖州': [119.8608,30.7782],                 '湘潭': [112.5439,27.7075],                 '滨州': [117.8174,37.4963],                 '潍坊': [119.0918,36.524],                 '烟台': [120.7397,37.5128],                 '玉溪': [101.9312,23.8898],                 '珠海': [113.7305,22.1155],                 '盐城': [120.2234,33.5577],                 '盘锦': [121.9482,41.0449],                 '石家庄': [114.4995,38.1006],                 '福建': [119.4543,25.9222],                 '秦皇岛': [119.2126,40.0232],                 '绍兴': [120.564,29.7565],                 '聊城': [115.9167,36.4032],                 '肇庆': [112.1265,23.5822],                 '舟山': [122.2559,30.2234],                 '苏州': [120.6519,31.3989],                 '莱芜': [117.6526,36.2714],                 '菏泽': [115.6201,35.2057],                 '营口': [122.4316,40.4297],                 '葫芦岛': [120.1575,40.578],                 '衡水': [115.8838,37.7161],                 '衢州': [118.6853,28.8666],                 '西宁': [101.4038,36.8207],                 '陕西': [109.1162,34.2004],                 '贵州': [106.6992,26.7682],                 '连云港': [119.1248,34.552],                 '邢台': [114.8071,37.2821],                 '邯郸': [114.4775,36.535],                 '河南': [113.4668,34.6234],                 '鄂尔多斯': [108.9734,39.2487],                 '重庆': [107.7539,30.1904],                 '金华': [120.0037,29.1028],                 '铜川': [109.0393,35.1947],                 '银川': [106.3586,38.1775],                 '镇江': [119.4763,31.9702],                 '吉林': [125.8154,44.2584],                 '湖南': [113.0823,28.2568],                 '长治': [112.8625,36.4746],                 '阳泉': [113.4778,38.0951],                 '青岛': [120.4651,36.3373],                 '韶关': [113.7964,24.7028]             }         },         {             name: '北京 Top10',             type: 'map',             mapType: 'china',             data:[],             markLine : {                 smooth:true,                 effect : {                     show: true,                     scaleSize: 1,                     period: 30,                     color: '#fff',                     shadowBlur: 10                 },                 itemStyle : {                     normal: {                         borderWidth:1,                         lineStyle: {                             type: 'solid',                             shadowBlur: 10                         }                     }                 },                 data : [                         {%for x in all_data%}                     [{name:'北京'}, {name:'`x`.`city`',value:`x`.`num`}],                         {%endfor%}                  ]             },             markPoint : {                 symbol:'emptyCircle',                 symbolSize : function (v){                     return 10 + v/10                 },                 effect : {                     show: true,                     shadowBlur : 0                 },                 itemStyle:{                     normal:{                         label:{show:false}                     },                     emphasis: {                         label:{position:'top'}                     }                 },                 data :                           [                            {%for i in all_data%}                         {name:'`i`.`city`',value:`i`.`num`},                          {%endfor%}                         ]               }         },             ] };                                // 为echarts对象加载数据                  myChart.setOption(option);              }         );     

  后端的操作，其实也可以是用saltstack远程分析nginx脚本，性能不影响web服务器的话，直接远程入库就好。