// 通过给定的集合List<Webkpi> datas，得到json字符串(横坐标)
public static String getCategory(List<WebKpi> datas) {
StringBuffer sb = new StringBuffer();
sb.append("[");
int size = datas.size();
for (int i = 0; i < size; i++) {
WebKpi idw = datas.get(i);
sb.append("\"" + DateUtils.dateToSimpleDateStr(idw.getTime(), "yyyy-MM-dd EE") + "\"");
if (i != (size - 1)) {
sb.append(",");
}
}
sb.append("]");
JSONArray ja = JSONArray.fromObject(sb.toString());
return ja.toString();
}
// 通过给定的集合List<Webkpi> datas，得到json字符串(纵坐标)
// 纵坐标又包含多个属性，如name、type、stack、smooth、symbol等等
public static String getValue(List<WebKpi> datas) {
JSONArray ja = new JSONArray();
if (datas != null) {
StringBuffer sb = new StringBuffer();
Map map = new HashMap();
String name = "PV";
String type = "line";
String stack = "总量";
boolean smooth = true; // 显示平滑曲线
String symbol = "emptyCircle"; // 显示符号
int size = datas.size();
List listPV = new ArrayList();
List listUV = new ArrayList();
List listVV = new ArrayList();
List listNewUV = new ArrayList();
for (WebKpi data : datas) {
listPV.add(data.getPv());
listUV.add(data.getUv());
listVV.add(data.getVv());
listNewUV.add(data.getNewUv());
}
String arr[] = new String[4];
List names = new ArrayList();
arr[0] = "PV";
names.add(arr[0]);
arr[1] = "UV";
names.add(arr[1]);
arr[2] = "访问次数";
names.add(arr[2]);
arr[3] = "新独立访客";
names.add(arr[3]);
map.put(names.get(0), listPV);
map.put(names.get(1), listUV);
map.put(names.get(2), listVV);
map.put(names.get(3), listNewUV);
Set set = map.keySet();
sb.append("[");
for (int i = 0; i < names.size(); i++) {
sb.append(
"{\"name\":\""
+ names.get(i)
+ "\",\"type\":\""
+ type
+ "\",\"stack\": \""
+ stack
+ "\",data:"
+ map.get(names.get(i))
+ ",\"smooth\":"
+ smooth
+ ",\"symbol\":\""
+ symbol
+ "\"}");
if (i != (names.size() - 1)) {
sb.append(",");
}
}
sb.append("]");
ja = JSONArray.fromObject(sb.toString());
}
return ja.toString();
}
// 得到Webkpi中 平均时长的分钟+秒钟
public static String getTotalTimeByDatas(WebKpi iuniDaWebKpi) {
long minute = iuniDaWebKpi.getTotalTime() / iuniDaWebKpi.getVv();
long second = iuniDaWebKpi.getTotalTime() % iuniDaWebKpi.getVv();
return minute + "分" + second + "秒";
}
// 通过对比字符串，返回特定的集合
// TODO 有问题，需调整
public static List<Object> getListByString(List<WebKpi> datas, String str) {
if (str != null && !"".equals(str)) {
List<Object> list = new ArrayList<Object>();
for (WebKpi data : datas) {
if ("PV".equals(str)) {
list.add(data.getPv());
} else if ("UV".equals(str)) {
list.add(data.getUv());
} else if ("IP".equals(str)) {
list.add(data.getIp());
} else if ("新独立访客".equals(str)) {
list.add(data.getNewUv());
} else if ("访问次数".equals(str)) {
list.add(data.getVv());
} else if ("人均浏览页面数".equals(str)) {
list.add(new DecimalFormat("0.0").format(data.getPv() / data.getUv()));
} else if ("平均访问深度".equals(str)) {
list.add(new DecimalFormat("0.0").format(data.getPv() / data.getVv()));
} else if ("平均访问时长".equals(str)) {
list.add(data.getTotalTime() / data.getVv() + data.getTotalTime() % data.getVv());
System.out.println((long) data.getTotalTime() / (long) data.getVv());
} else if ("跳出率".equals(str)) {
list.add(
new DecimalFormat("00.00")
.format((new Double(data.getTotalJump()) / new Double(data.getVv())) * 100));
System.out.println(
new DecimalFormat("0.00%")
.format((new Double(data.getTotalJump()) / new Double(data.getVv()))));
}
}
return list;
} else {
return null;
}
}