基于JavaScript的数据可视化银行监管系统源码(课程设计).zip

package com.datav.bigscreen.controller; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RestController; import org.springframework.web.bind.annotation.PathVariable; import org.springframework.web.servlet.support.ServletUriComponentsBuilder; import org.springframework.web.util.UriComponentsBuilder; import java.io.*; /** * 返回json格式 * @author user * */ @RestController @RequestMapping(value = {"/map_china_map", "/line_area_chart", "/pie_source"}) public class Process { @RequestMapping("/{filename}.json") public String json(@PathVariable("filename") String filename) throws Exception { UriComponentsBuilder builder = ServletUriComponentsBuilder.fromCurrentRequest(); String requestedValue = builder.buildAndExpand().getPath(); System.out.println(requestedValue); System.out.println(filename); ChangeJSON("./src/main/resources/static" + requestedValue); String jsonStr = readJSON("./src/main/resources/static" + requestedValue); System.out.println(jsonStr); return jsonStr; } public void ChangeJSON(String filename) throws Exception { System.out.println("正在访问:" + filename); if (filename.contains("map_china_map.json")) { int max=800, min=300; String objectStr = String.format("[{\"name\": \"上海\", \"confirmAdd\": %d, \"confirm\": %d, \"nowConfirm\": %d}, {\"name\": \"云南\", \"confirmAdd\": %d, \"confirm\": %d, \"nowConfirm\": %d}, {\"name\": \"内蒙古\", \"confirmAdd\": %d, \"confirm\": %d, \"nowConfirm\": %d}, {\"name\": \"北京\", \"confirmAdd\": 373, \"confirm\": 568, \"nowConfirm\": 600}, {\"name\": \"吉林\", \"confirmAdd\": 646, \"confirm\": 396, \"nowConfirm\": 512}, {\"name\": \"四川\", \"confirmAdd\": 749, \"confirm\": 455, \"nowConfirm\": 146}, {\"name\": \"天津\", \"confirmAdd\": 233, \"confirm\": 596, \"nowConfirm\": 878}, {\"name\": \"安徽\", \"confirmAdd\": 595, \"confirm\": 637, \"nowConfirm\": 746}, {\"name\": \"山东\", \"confirmAdd\": 148, \"confirm\": 201, \"nowConfirm\": 850}, {\"name\": \"山西\", \"confirmAdd\": 211, \"confirm\": 481, \"nowConfirm\": 228}, {\"name\": \"广东\", \"confirmAdd\": 136, \"confirm\": 360, \"nowConfirm\": 191}, {\"name\": \"广西\", \"confirmAdd\": 387, \"confirm\": 319, \"nowConfirm\": 324}, {\"name\": \"江苏\", \"confirmAdd\": 870, \"confirm\": 573, \"nowConfirm\": 435}, {\"name\": \"江西\", \"confirmAdd\": 576, \"confirm\": 323, \"nowConfirm\": 124}, {\"name\": \"河北\", \"confirmAdd\": 405, \"confirm\": 542, \"nowConfirm\": 878}, {\"name\": \"河南\", \"confirmAdd\": 210, \"confirm\": 550, \"nowConfirm\": 188}, {\"name\": \"浙江\", \"confirmAdd\": 336, \"confirm\": 549, \"nowConfirm\": 764}, {\"name\": \"海南\", \"confirmAdd\": 758, \"confirm\": 411, \"nowConfirm\": 251}, {\"name\": \"湖北\", \"confirmAdd\": 814, \"confirm\": 264, \"nowConfirm\": 113}, {\"name\": \"湖南\", \"confirmAdd\": 872, \"confirm\": 337, \"nowConfirm\": 181}, {\"name\": \"福建\", \"confirmAdd\": 378, \"confirm\": 749, \"nowConfirm\": 741}, {\"name\": \"贵州\", \"confirmAdd\": 823, \"confirm\": 100, \"nowConfirm\": 603}, {\"name\": \"辽宁\", \"confirmAdd\": 173, \"confirm\": 140, \"nowConfirm\": 589}, {\"name\": \"陕西\", \"confirmAdd\": 546, \"confirm\": 206, \"nowConfirm\": 855}, {\"name\": \"青海\", \"confirmAdd\": 688, \"confirm\": 614, \"nowConfirm\": 480}, {\"name\": \"黑龙江\", \"confirmAdd\": 193, \"confirm\": 220, \"nowConfirm\": 666}]", (int) (Math.random()*(max-min)+min), (int) (Math.random()*(max-min)+min), (int) (Math.random()*(max-min)+min), (int) (Math.random()*(max-min)+min), (int) (Math.random()*(max-min)+min), (int) (Math.random()*(max-min)+min), (int) (Math.random()*(max-min)+min), (int) (Math.random()*(max-min)+min), (int) (Math.random()*(max-min)+min)); System.out.println(objectStr); StringWrite(filename, objectStr); }else if (filename.contains("line_area_chart.json")) { int max=1000, min=100; String objectStr = String.format("{\"xAxis\": {\"data\": [\"9:00\", \"10:00\", \"11:00\", \"12:00\", \"13:00\", \"14:00\", \"15:00\", \"16:00\", \"17:00\", \"18:00\", \"19:00\", \"20:00\"]}, \"series\": [{\"data\": [%d, %d, %d, %d, %d, %d, %d, %d, %d, %d, %d, %d]}]}", (int)(Math.random()*(max-min)+min), (int)(Math.random()*(max-min)+min), (int)(Math.random()*(max-min)+min), (int)(Math.random()*(max-min)+min), (int)(Math.random()*(max-min)+min), (int)(Math.random()*(max-min)+min), (int)(Math.random()*(max-min)+min), (int)(Math.random()*(max-min)+min), (int)(Math.random()*(max-min)+min), (int)(Math.random()*(max-min)+min), (int)(Math.random()*(max-min)+min), (int)(Math.random()*(max-min)+min)); System.out.println(objectStr); StringWrite(filename, objectStr); }else if (filename.contains("pie_source.json")) { int max=1000, min=100; String objectStr = String.format("[{\"name\": \"盈利企业\", \"value\": %d}, {\"name\": \"亏损企业\", \"value\": %d}, {\"name\": \"亏损(>50%%)\", \"value\": %d}, {\"name\": \"盈利(>50%%)\", \"value\": %d}]", (int)(Math.random()*(max-min)+min), (int)(Math.random()*(max-min)+min), (int)(Math.random()*(max-min)+min), (int)(Math.random()*(max-min)+min)); System.out.println(objectStr); StringWrite(filename, objectStr); } //其它json请自行增加相关代码 } public void StringWrite(String filename, String content) throws Exception { File jsonFile = new File(filename); FileOutputStream outputStream = new FileOutputStream(jsonFile); BufferedWriter bw = null; try { bw = new BufferedWriter(new OutputStreamWriter(outputStream, "UTF-8")); bw.write(""); bw.write(content); bw.close(); } catch (IOException e) { e.printStackTrace(); } finally { try { bw.close(); } catch (IOException e) { e.printStackTrace(); } } } public static String readJSON(String fileName) throws Exception { BufferedReader reader = new BufferedReader(new InputStreamReader(new FileInputStream(fileName))); StringBuilder sb = new StringBuilder(); String line = ""; while ((line = reader.readLine()) != null) { sb.append(line); } String result = sb.toString().replaceAll("\r\n", "").replaceAll(" +", ""); return result; } }