可能诊断排序

graph/src/main/java/org/diagbot/graph/util/CacheUtil.java

@@ -11,6 +11,22 @@ public class CacheUtil {
     public static Map<String,String> lexionMap=null;
     public static Map<String,Map<String,String>> sexAgeMap=null;
     public static Map<String,String> vitalMap=null;
+    public static Map<String,String> disgSortMap=null;
+    public static Map<String,String> getDiagSortCache(){
+        String path = "diagSort.dict";
+        Configuration configuration = new DefaultConfig();
+        if(disgSortMap == null){
+            disgSortMap = new HashMap<>();
+            List<String> contentList = configuration.readFileContents(path);
+            for (String s:contentList) {
+                String[] splits = s.split("\\|");
+                String diagName = splits[0];
+                String diagType = splits[1];
+                disgSortMap.put(diagName,diagType);
+            }
+        }
+        return disgSortMap;
+    }
     public static Map<String,String> getLexionCache(){
         String path = "lexicon.dict";
         Configuration configuration = new DefaultConfig();

graph/src/main/resources/diagSort.dict

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graph/src/test/java/org/diagbot/graph/CacheFile.java

@@ -11,7 +11,35 @@ import java.sql.Statement;
 public class CacheFile {
     public static void main(String[] args) {
         CacheFile cacheFile = new CacheFile();
-        cacheFile.vitalMaping();
+        cacheFile.diagSort();
+    }
+    //诊断大小类对应
+    public void diagSort(){
+        MysqlJdbc nlpJdbc = new MysqlJdbc("root", "diagbot@20180822", "jdbc:mysql://192.168.2.235:3306/bigdata-web?useUnicode=true&characterEncoding=UTF-8");
+        Connection conn = nlpJdbc.connect();
+        Statement st = null;
+        ResultSet rs = null;
+        try {
+            EncrypDES encrypDES = new EncrypDES();//加密对象
+            String path = this.getClass().getClassLoader().getResource("").getPath();
+            path = path.substring(0, path.indexOf("target"));
+            String sql = "SELECT diag_name_big,diag_name_type from doc_result_sort_diag";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+            FileWriter fw = new FileWriter(path + "src/main/resources/diagSort.dict");
+            String  r2 ,r3;
+            while (rs.next()) {
+                r2 = rs.getString(1);//大类名
+                r3 = rs.getString(2);//小类名
+                fw.write(encrypDES.encrytor(r2+ "|" + r3));
+                fw.write("\n");
+            }
+            fw.close();
+        } catch (Exception e) {
+            e.printStackTrace();
+        } finally {
+            nlpJdbc.close(rs, st, conn);
+        }
     }
     //诊断和性别,年龄的对应
     public void sexAge(){

push-web/src/main/java/org/diagbot/push/controller/AlgorithmController.java

@@ -152,8 +152,13 @@ public class AlgorithmController extends BaseController {
                     updateFeatureRates.add(graphFeatureRates.get(j));
                 }
             }
+            //诊断排序
+            Map<String, String> diagSortCache = CacheUtil.getDiagSortCache();
+            List<FeatureRate> finalDiagList = this.processDiagSort(updateFeatureRates, diagSortCache);
+
             //大数据推送疾病数据用知识图谱替换
-            bigDataResponseData.setDis(updateFeatureRates);
+//            bigDataResponseData.setDis(updateFeatureRates);
+            bigDataResponseData.setDis(finalDiagList);
         }
 
         //推送出的诊断信息作为参数传入知识图谱
@@ -197,6 +202,45 @@ public class AlgorithmController extends BaseController {
         response.setData(bigDataResponseData);
         return response;
     }
+    public List<FeatureRate> processDiagSort(List<FeatureRate> updateFeatureRates, Map<String, String> diagSortCache){
+        List<String> finalDiagList = new LinkedList<>();
+        List<String> neoDiagList = new LinkedList<>();
+        List<String> bigDataIDiagList = new LinkedList<>();
+        List<String> bigDataIIDiagList = new LinkedList<>();
+        List<FeatureRate> finalDiagFeature = new LinkedList<>();
+        if(updateFeatureRates != null || updateFeatureRates.size()>0){
+            for (FeatureRate feature:updateFeatureRates) {
+                String featureName = feature.getFeatureName();
+                String source = feature.getSource();
+                if("neo4j".equals(source)){
+                   neoDiagList.add(featureName);
+               }else {
+                    String s = diagSortCache.get(featureName);
+                    if(StringUtils.isNotEmpty(s)){
+                        if("Ⅰ".equals(s)){
+                            bigDataIDiagList.add(featureName);
+                        }else if("Ⅱ".equals(s)){
+                            bigDataIIDiagList.add(s);
+                        }
+                    }
+                }
+            }
+        }
+        finalDiagList.addAll(neoDiagList);
+        finalDiagList.addAll(bigDataIDiagList);
+        finalDiagList.addAll(bigDataIIDiagList);
+        if(finalDiagList != null && finalDiagList.size()>0){
+            for (String diag:finalDiagList){
+                for (FeatureRate f:updateFeatureRates) {
+                    if(diag.equals(f.getFeatureName())){
+                        finalDiagFeature.add(f);
+                        break;
+                    }
+                }
+            }
+        }
+        return finalDiagFeature;
+    }
     public List<FeatureRate> getVital(Map<String, String> vitalCache,List<FeatureRate> vitals){
         Set<String> vitalSet = new LinkedHashSet<>();
         List<FeatureRate> vitalList = new ArrayList<>();