Merge remote-tracking branch 'remotes/origin/master' into his/chuangye

# Conflicts:
#	graph-web/src/main/resources/url.properties
#	graphdb/src/main/resources/application.yml

algorithm/src/main/resources/algorithm.properties

@@ -18,4 +18,4 @@ diagnosisToVital.version=diagnosis_to_vital_1
 
 ############################ relation extraction ######################################
 relationExtraction=relation_extraction
-relationExtractionUrl=http://192.168.3.40:54321/api/re/predict
+relationExtractionUrl=http://192.168.3.40:54321/api/re/predict

bigdata-web/src/main/java/org/diagbot/bigdata/common/ApplicationCacheUtil.java

@@ -2,6 +2,7 @@ package org.diagbot.bigdata.common;
 
 import org.diagbot.bigdata.dao.model.ResultMappingFilter;
 import org.diagbot.bigdata.util.BigDataConstants;
+import org.diagbot.common.javabean.Rule;
 import org.diagbot.nlp.participle.ParticipleUtil;
 import org.diagbot.nlp.participle.cfg.Configuration;
 import org.diagbot.nlp.participle.cfg.DefaultConfig;
@@ -22,14 +23,18 @@ public class ApplicationCacheUtil {
     public static Map<String, String> standard_info_classify_map = null;
     //树形结构存储大小类
     public static Map<String, NlpCache.Node> standard_info_type_tree_map = null;
-    //体征衍射
-    public static Map<String, String> doc_result_mapping_vital_map = null;
+//    体征衍射
+//    public static Map<String, String> doc_result_mapping_vital_map = null;
     //诊断科室衍射
     public static Map<String, String> doc_result_mapping_diag_map = null;
     //特征性别 年龄过滤等
     public static Map<String, Map<String, ResultMappingFilter>> doc_result_mapping_filter_map = null;
     //诊断依据标准词
     public static Map<String, List<Map<String, String>>> kl_result_mapping_standword_map = null;
+    // 规则
+    public static Map<String, List<Rule>> rule_filter_map = null;
+    public static Map<String, List<Rule>> kl_rule_filter_map = null;
+
 
     public static Map<String, Map<String, String>> getStandard_info_synonym_map() {
         if (standard_info_synonym_map == null) {
@@ -52,145 +57,215 @@ public class ApplicationCacheUtil {
         return standard_info_type_tree_map;
     }
 
-    public static Map<String, String> getDoc_result_mapping_vital_map() {
-        if (doc_result_mapping_vital_map == null) {
-            Configuration configuration = new DefaultConfig();
-            doc_result_mapping_vital_map = configuration.loadMapDict("doc_result_mapping_vital.dict");
-        }
-        return doc_result_mapping_vital_map;
-    }
+//    /**
+//     * 現已無用
+//     * @return
+//     */
+//    public static Map<String, String> getDoc_result_mapping_vital_map() {
+//        if (doc_result_mapping_vital_map == null) {
+//            Configuration configuration = new DefaultConfig();
+//            doc_result_mapping_vital_map = configuration.loadMapDict("doc_result_mapping_vital.dict");
+//        }
+//        return doc_result_mapping_vital_map;
+//    }
 
     public static Map<String, String> getDoc_result_mapping_diag_map() {
         if (doc_result_mapping_diag_map == null) {
-            Configuration configuration = new DefaultConfig();
-            doc_result_mapping_diag_map = configuration.loadMapDict("doc_result_mapping_diag.dict");
+            createDoc_result_mapping_diag_map();
         }
         return doc_result_mapping_diag_map;
     }
 
-    public static Map<String, Map<String, ResultMappingFilter>> getDoc_result_mapping_filter_map() {
+    public static Map<String, String> createDoc_result_mapping_diag_map() {
         Configuration configuration = new DefaultConfig();
+        doc_result_mapping_diag_map = configuration.loadMapDict("bigdata_diag_2_dept.dict");
+        return doc_result_mapping_diag_map;
+    }
+
+    public static Map<String, Map<String, ResultMappingFilter>> getDoc_result_mapping_filter_map() {
         if (doc_result_mapping_filter_map == null) {
-            List<String> fileContents = configuration.readFileContents("doc_result_mapping_filter.dict");
-            String[] line_string;
-            List<ResultMappingFilter> resultMappingFilters = new ArrayList<>();
-            try {
-                for (int i = 0; i < fileContents.size(); i++) {
-                    line_string = org.apache.commons.lang3.StringUtils.split(fileContents.get(i), "\\|");
-                    if (line_string.length == 5) {
-                        ResultMappingFilter resultMappingFilter = new ResultMappingFilter();
-                        resultMappingFilter.setFeatureName(line_string[0]);
-                        resultMappingFilter.setFeatureType(line_string[1]);
-                        resultMappingFilter.setSex(line_string[2]);
-                        resultMappingFilter.setAgeStart(Integer.parseInt(line_string[3]));
-                        resultMappingFilter.setAgeEnd(Integer.parseInt(line_string[4]));
-                        resultMappingFilters.add(resultMappingFilter);
-                    }
+            createDoc_result_mapping_filter_map();
+        }
+        return doc_result_mapping_filter_map;
+    }
+
+    public static Map<String, Map<String, ResultMappingFilter>> createDoc_result_mapping_filter_map() {
+        Configuration configuration = new DefaultConfig();
+        List<String> fileContents = configuration.readFileContents("bigdata_sex_age_filter.dict");
+        String[] line_string;
+        List<ResultMappingFilter> resultMappingFilters = new ArrayList<>();
+        try {
+            for (int i = 0; i < fileContents.size(); i++) {
+                line_string = org.apache.commons.lang3.StringUtils.split(fileContents.get(i), "\\|");
+                if (line_string.length == 5) {
+                    ResultMappingFilter resultMappingFilter = new ResultMappingFilter();
+                    resultMappingFilter.setFeatureName(line_string[0]);
+                    resultMappingFilter.setFeatureType(line_string[1]);
+                    resultMappingFilter.setSex(line_string[2]);
+                    resultMappingFilter.setAgeStart(Integer.parseInt(line_string[3]));
+                    resultMappingFilter.setAgeEnd(Integer.parseInt(line_string[4]));
+                    resultMappingFilters.add(resultMappingFilter);
                 }
-            } catch (Exception e) {
-                e.printStackTrace();
             }
+        } catch (Exception e) {
+            e.printStackTrace();
+        }
 
-            doc_result_mapping_filter_map = new HashMap<>();
-            Map<String, ResultMappingFilter> filterMap = null;
-            for (ResultMappingFilter resultMappingFilter : resultMappingFilters) {
-                filterMap = doc_result_mapping_filter_map.get(resultMappingFilter.getFeatureType());
-                if (filterMap == null) {
-                    filterMap = new HashMap<>();
-                }
-                filterMap.put(resultMappingFilter.getFeatureName(), resultMappingFilter);
-                doc_result_mapping_filter_map.put(resultMappingFilter.getFeatureType(), filterMap);
+        doc_result_mapping_filter_map = new HashMap<>();
+        Map<String, ResultMappingFilter> filterMap = null;
+        for (ResultMappingFilter resultMappingFilter : resultMappingFilters) {
+            filterMap = doc_result_mapping_filter_map.get(resultMappingFilter.getFeatureType());
+            if (filterMap == null) {
+                filterMap = new HashMap<>();
             }
+            filterMap.put(resultMappingFilter.getFeatureName(), resultMappingFilter);
+            doc_result_mapping_filter_map.put(resultMappingFilter.getFeatureType(), filterMap);
         }
         return doc_result_mapping_filter_map;
     }
 
     public static Map<String, List<Map<String, String>>> getKl_result_mapping_standword_map() {
         if (kl_result_mapping_standword_map == null) {
-            kl_result_mapping_standword_map = new HashMap<>();
-            Configuration configuration = new DefaultConfig();
-            List<String> fileContents = configuration.readFileContents("kl_result_mapping_standword.dict");
-            List<Map<String, String>> standWordObjValList = null;
-            Map<String, String> standWordObjVal = null;
-            String operation = ">=|≥|>|大于|＞|超过|<=|≤|<|小于|＜|少于";
-            try {
-                for (String fileContent : fileContents) {
-                    LexemePath<Lexeme> lexemes = null;
-                    String op = "";
-                    String[] fileContentSplit = null;
-                    //每一个标准词根据大于小于符号切开，不然进行分词时还是会得到原本的标准词
-                    if (fileContent.contains(">") || fileContent.contains("大于")
-                            || fileContent.contains("＞") || fileContent.contains("超过")) {
-                        op = ">";
-                        fileContentSplit = fileContent.split(operation);
-                    } else if (fileContent.contains("<") || fileContent.contains("小于")
-                            || fileContent.contains("＜") || fileContent.contains("少于")) {
-                        op = "<";
-                        fileContentSplit = fileContent.split(operation);
-                    } else if (fileContent.contains(">=") || fileContent.contains("≥")){
-                        op = ">=";
-                        fileContentSplit = fileContent.split(operation);
-                    } else if (fileContent.contains("<=") || fileContent.contains("≤")) {
-                        op = "<=";
-                        fileContentSplit = fileContent.split(operation);
-                    } else {
-                        continue;
-                    }
-                    LexemePath<Lexeme> lexemeWord = null;
-                    //每一个标准词切开后进行分词
-                    for (String fileContentWords : fileContentSplit) {
-                        lexemeWord = ParticipleUtil.participle(fileContentWords);
-                        if (lexemeWord != null) {
-                            if (null == lexemes) {
-                                lexemes = lexemeWord;
-                            } else {
-                                for (Lexeme lexeme : lexemeWord) {
-                                    lexemes.add(lexeme);
-                                }
+            createKl_result_mapping_standword_map();
+        }
+        return kl_result_mapping_standword_map;
+    }
+
+    public static Map<String, List<Map<String, String>>> createKl_result_mapping_standword_map() {
+        kl_result_mapping_standword_map = new HashMap<>();
+        Configuration configuration = new DefaultConfig();
+        List<String> fileContents = configuration.readFileContents("bigdata_value_analyze.dict");
+        List<Map<String, String>> standWordObjValList = null;
+        Map<String, String> standWordObjVal = null;
+        String operation = ">=|≥|>|大于|＞|超过|<=|≤|<|小于|＜|少于";
+        try {
+            for (String fileContent : fileContents) {
+                LexemePath<Lexeme> lexemes = null;
+                String op = "";
+                String[] fileContentSplit = null;
+                //每一个标准词根据大于小于符号切开，不然进行分词时还是会得到原本的标准词
+                if (fileContent.contains(">") || fileContent.contains("大于")
+                        || fileContent.contains("＞") || fileContent.contains("超过")) {
+                    op = ">";
+                    fileContentSplit = fileContent.split(operation);
+                } else if (fileContent.contains("<") || fileContent.contains("小于")
+                        || fileContent.contains("＜") || fileContent.contains("少于")) {
+                    op = "<";
+                    fileContentSplit = fileContent.split(operation);
+                } else if (fileContent.contains(">=") || fileContent.contains("≥")){
+                    op = ">=";
+                    fileContentSplit = fileContent.split(operation);
+                } else if (fileContent.contains("<=") || fileContent.contains("≤")) {
+                    op = "<=";
+                    fileContentSplit = fileContent.split(operation);
+                } else {
+                    continue;
+                }
+                LexemePath<Lexeme> lexemeWord = null;
+                //每一个标准词切开后进行分词
+                for (String fileContentWords : fileContentSplit) {
+                    lexemeWord = ParticipleUtil.participle(fileContentWords);
+                    if (lexemeWord != null) {
+                        if (null == lexemes) {
+                            lexemes = lexemeWord;
+                        } else {
+                            for (Lexeme lexeme : lexemeWord) {
+                                lexemes.add(lexeme);
                             }
                         }
                     }
-                    String standWordObjKey = "";
-                    standWordObjValList = new ArrayList<>();
-                    standWordObjVal = new HashMap<>();
-                    int i = 0;
-                    for (Lexeme lexeme : lexemes) {
-                        i++;
-                        if (lexeme.getProperty().contains(",")) {
-                            setProterty(lexeme); //如果分词后词性有多个，只选一个(暂时只处理症状,体征)
-                        }
-                        NegativeEnum lexemeNegativeEnum = NegativeEnum.parseOfValue(lexeme.getProperty());
-                        if (lexemeNegativeEnum == NegativeEnum.SYMPTOM || lexemeNegativeEnum == NegativeEnum.CAUSE
-                                || lexemeNegativeEnum == NegativeEnum.VITAL_INDEX) {
-                            if (!kl_result_mapping_standword_map.containsKey(lexeme.getText())) {
-                                kl_result_mapping_standword_map.put(lexeme.getText(), standWordObjValList);
-                            } else {
-                                standWordObjKey = lexeme.getText();
-                            }
-                        } else if (lexemeNegativeEnum == NegativeEnum.DIGITS) {
-                            standWordObjVal.put("value", lexeme.getText());
-                        } else if (lexemeNegativeEnum == NegativeEnum.UNIT
-                                || lexemeNegativeEnum == NegativeEnum.EVENT_TIME) {
-                            standWordObjVal.put("unit", lexeme.getText().toLowerCase());
+                }
+                String standWordObjKey = "";
+                standWordObjValList = new ArrayList<>();
+                standWordObjVal = new HashMap<>();
+                int i = 0;
+                for (Lexeme lexeme : lexemes) {
+                    i++;
+                    if (lexeme.getProperty().contains(",")) {
+                        setProterty(lexeme); //如果分词后词性有多个，只选一个(暂时只处理症状,体征)
+                    }
+                    NegativeEnum lexemeNegativeEnum = NegativeEnum.parseOfValue(lexeme.getProperty());
+                    if (lexemeNegativeEnum == NegativeEnum.SYMPTOM || lexemeNegativeEnum == NegativeEnum.CAUSE
+                            || lexemeNegativeEnum == NegativeEnum.VITAL_INDEX
+                            || lexemeNegativeEnum == NegativeEnum.DIAG_STAND) {
+                        if (!kl_result_mapping_standword_map.containsKey(lexeme.getText())) {
+                            kl_result_mapping_standword_map.put(lexeme.getText(), standWordObjValList);
+                        } else {
+                            standWordObjKey = lexeme.getText();
                         }
-                        if (lexemes.size() == i) {
-                            standWordObjVal.put("op", op);
-                            standWordObjVal.put("standword", fileContent);
-                            if (kl_result_mapping_standword_map.containsKey(standWordObjKey)) {
-                                kl_result_mapping_standword_map.get(standWordObjKey).add(standWordObjVal);
-                            } else {
-                                standWordObjValList.add(standWordObjVal);
-                            }
+                    }
+                    if (lexemeNegativeEnum == NegativeEnum.DIGITS) {
+                        standWordObjVal.put("value", lexeme.getText());
+                    }
+                    if (lexemeNegativeEnum == NegativeEnum.UNIT
+                            || lexemeNegativeEnum == NegativeEnum.EVENT_TIME
+                            || lexemeNegativeEnum == NegativeEnum.OTHER) {
+                        standWordObjVal.put("unit", lexeme.getText().toLowerCase());
+                    }
+                    if (lexemes.size() == i) {
+                        standWordObjVal.put("op", op);
+                        standWordObjVal.put("standword", fileContent);
+                        if (kl_result_mapping_standword_map.containsKey(standWordObjKey)) {
+                            kl_result_mapping_standword_map.get(standWordObjKey).add(standWordObjVal);
+                        } else {
+                            standWordObjValList.add(standWordObjVal);
                         }
                     }
                 }
-            } catch (Exception e) {
-                e.printStackTrace();
             }
+        } catch (Exception e) {
+            e.printStackTrace();
         }
         return kl_result_mapping_standword_map;
     }
 
+    public static Map<String, List<Rule>> get_rule_filter_map() {
+        if (rule_filter_map == null || rule_filter_map.size() == 0) {
+            create_rule_filter_map();
+        }
+        return rule_filter_map;
+    }
+
+    public static void create_rule_filter_map() {
+        rule_filter_map = new HashMap<>();
+        List<Rule> rulelist;
+        Map<String, String> rule;
+        String key;
+
+        String[] labels = {"set_name","idx_name","min_operator","min_value","min_unit",
+                "max_operator","max_value","max_unit","eq_operator","eq_value","eq_unit","remind"};
+
+        Configuration configuration = new DefaultConfig();
+        List<String> fileContents = configuration.readFileContents("rule_filter.dict");
+
+        for (String line:fileContents) {
+            rule = new HashMap<>();
+            String[] content = line.split("\\|");
+            if (labels.length == content.length) {
+//                for (int i=0; i<labels.length; i++) {
+//                    rule.put(labels[i], content[i]);
+//                }
+//                key = content[0] + "--" + content[1];
+                key = content[1];
+                if (rule_filter_map.get(key) == null) {
+                    rule_filter_map.put(key, new ArrayList<>());
+                }
+                rulelist = rule_filter_map.get(key);
+                rulelist.add(new Rule(content));
+            }
+        }
+    }
+
+    public static void create_kl_rule_filter_map() {
+        kl_rule_filter_map = new HashMap<>();
+
+        Configuration configuration = new DefaultConfig();
+        List<String> fileContents = configuration.readFileContents("bigdata_rule_filter.dict");
+        for (String line:fileContents) {
+            String[] content = line.split("\\|");
+        }
+    }
+
     public static void setProterty(Lexeme lexeme) {
         for (String featureType : lexeme.getProperty().split(",")) {
             switch (featureType) {
@@ -200,6 +275,10 @@ public class ApplicationCacheUtil {
                 case "33":
                     lexeme.setProperty("33");
                     break;
+                case "70":
+                    lexeme.setProperty("70");
+                    break;
+
             }
         }
     }

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

@@ -34,7 +34,7 @@ public class AlgorithmController extends BaseController {
     public Response<ResponseData> algorithm(HttpServletRequest request, SearchData searchData) throws Exception {
         Response<ResponseData> response = new Response();
         AlgorithmCore core = new AlgorithmCore();
-        ResponseData responseData = core.algorithm(request, searchData);
+        ResponseData responseData = core.algorithm(request, searchData, null);
         response.setData(responseData);
         return response;
     }

bigdata-web/src/main/java/org/diagbot/bigdata/util/BigDataConstants.java

@@ -22,6 +22,7 @@ public class BigDataConstants {
     public final static String feature_type_history = "7";       //历史
     public final static String feature_type_labelpush = "22";       //指标推送
     public final static String feature_type_manju = "11";       //管理评估
+    public final static String feature_type_vital_index = "42"; //体征指标
     public final static String feature_type_feature = "9"; //症状描述中的特征信息 如部位、性质等
 
 //    public final static String standard_info_diag_cache = "standardInfoDiagMap";                    //词典库疾病缓存

bigdata-web/src/main/java/org/diagbot/bigdata/work/AlgorithmCore.java

@@ -25,8 +25,10 @@ import java.util.*;
  **/
 public class AlgorithmCore {
     Logger logger = LoggerFactory.getLogger(AlgorithmCore.class);
-    public ResponseData algorithm(HttpServletRequest request, SearchData searchData) throws Exception {
-        ResponseData responseData = new ResponseData();
+    public ResponseData algorithm(HttpServletRequest request, SearchData searchData, ResponseData responseData) throws Exception {
+        if (responseData == null) {
+            responseData = new ResponseData();
+        }
         //录入文本处理，包括提取特征、推送类型转换等
         ParamsDataProxy paramsDataProxy = new ParamsDataProxy();
         logger.info("页面文本信息：" + searchData.getSymptom());

bigdata-web/src/main/java/org/diagbot/bigdata/work/ParamsDataProxy.java

@@ -28,6 +28,25 @@ import java.util.regex.Pattern;
  **/
 public class ParamsDataProxy {
     Logger logger = LoggerFactory.getLogger(ParamsDataProxy.class);
+    //标准词只处理的词性
+    public static NegativeEnum[] negativeEnums = new NegativeEnum[] { NegativeEnum.VITAL_INDEX, NegativeEnum.SYMPTOM
+            , NegativeEnum.DIGITS, NegativeEnum.EVENT_TIME, NegativeEnum.UNIT, NegativeEnum.DIAG_STAND
+            , NegativeEnum.OTHER};
+    //标准词处理的三元组
+    public static NegativeEnum[][] negativeEnumTriple = {
+            { NegativeEnum.VITAL_INDEX, NegativeEnum.DIGITS, NegativeEnum.UNIT },
+            { NegativeEnum.VITAL_INDEX, NegativeEnum.DIGITS, NegativeEnum.EVENT_TIME },
+            { NegativeEnum.SYMPTOM, NegativeEnum.DIGITS, NegativeEnum.UNIT },
+            { NegativeEnum.SYMPTOM, NegativeEnum.DIGITS, NegativeEnum.EVENT_TIME },
+            { NegativeEnum.DIAG_STAND, NegativeEnum.DIGITS, NegativeEnum.UNIT },
+            { NegativeEnum.DIAG_STAND, NegativeEnum.DIGITS, NegativeEnum.EVENT_TIME },
+            { NegativeEnum.DIAG_STAND, NegativeEnum.DIGITS, NegativeEnum.OTHER }
+    };
+    //标准词处理的二元组
+    public static NegativeEnum[][] negativeEnumTwoTuple = {
+            { NegativeEnum.VITAL_INDEX, NegativeEnum.DIGITS },
+            { NegativeEnum.SYMPTOM, NegativeEnum.DIGITS }
+    };
 
     public void createSearchData(HttpServletRequest request, SearchData searchData) throws Exception {
         //消除空格
@@ -59,10 +78,15 @@ public class ParamsDataProxy {
             searchData.setResourceType(BigDataConstants.resource_type_o);
         }
         //给症状末尾添加诊断依据标准词
-        if (searchData.getSymptom() != null) {
-            LexemePath<Lexeme> featureData = ParticipleUtil.participle(searchData.getSymptom());
-            if (featureData != null) {
-                addStandWord(featureData, ApplicationCacheUtil.getKl_result_mapping_standword_map(), searchData);
+        String[] items = { searchData.getSymptom(), searchData.getOther(), searchData.getVital()
+                , searchData.getLis(), searchData.getPacs(), searchData.getDiag() };
+        String[] itemsType = { "symptom", "other", "vital", "lis", "pacs", "diag" };
+        for (int i = 0; i < items.length; i++) {
+            if (items[i] != null) {
+                LexemePath<Lexeme> featureData = ParticipleUtil.participle(items[i]);
+                if (featureData != null) {
+                    addStandWord(featureData, ApplicationCacheUtil.getKl_result_mapping_standword_map(), searchData, itemsType[i]);
+                }
             }
         }
         //所有信息参与推送
@@ -88,6 +112,9 @@ public class ParamsDataProxy {
             //提取现病史
             featuresList = fa.start(searchData.getSymptom(), FeatureType.FEATURE);
             paramFeatureInit(searchData, featuresList);
+            //提取时间信息
+            featuresList = fa.start(searchData.getSymptom(), FeatureType.TIME);
+            paramFeatureInit(searchData, featuresList);
         }
         if (!StringUtils.isEmpty(searchData.getVital())) {
             //提取体征
@@ -101,7 +128,7 @@ public class ParamsDataProxy {
         }
         if (!StringUtils.isEmpty(searchData.getOther()) || !StringUtils.isEmpty(searchData.getIndications())) {
             //提取其他史等
-            featuresList = fa.start(searchData.getOther() == null ? "" : searchData.getOther() + searchData.getIndications() == null ? "" : searchData.getIndications(), FeatureType.FEATURE);
+            featuresList = fa.start((searchData.getOther() == null ? "" : searchData.getOther()) + (searchData.getIndications() == null ? "" : searchData.getIndications()), FeatureType.FEATURE);
             paramFeatureInit(searchData, featuresList);
         }
         if (!StringUtils.isEmpty(searchData.getPacs())) {
@@ -233,6 +260,9 @@ public class ParamsDataProxy {
             if ("11".equals(featureType)) {
                 return BigDataConstants.feature_type_manju;
             }
+            if ("42".equals(featureType)) {
+                return BigDataConstants.feature_type_vital_index;
+            }
             return null;
         }
         return featureType;
@@ -258,11 +288,15 @@ public class ParamsDataProxy {
                 map.put("property", String.valueOf(featureMap.get("property")));
                 map.put("concept", String.valueOf(featureMap.get("concept")));
                 if (Constants.default_negative.equals(featureMap.get("negative"))) {
-                    if (searchData.getInputs().get(map.get("feature_name")) == null) {
-                        if (i < 6) {
-                            searchData.getInputs().put(map.get("feature_name"), map);
+                    if (map.get("featureType").equals(Constants.feature_type_time)) {
+                        searchData.getInputs().put("时间", map);
+                    } else {
+                        if (searchData.getInputs().get(map.get("feature_name")) == null) {
+                            if (i < 5) {
+                                searchData.getInputs().put(map.get("feature_name"), map);
+                            }
+                            searchData.getGraphInputs().put(map.get("feature_name"), map);
                         }
-                        searchData.getGraphInputs().put(map.get("feature_name"), map);
                     }
                 } else {
                     searchData.getFilters().put(map.get("feature_name"), map);
@@ -279,73 +313,82 @@ public class ParamsDataProxy {
      * @param sData
      * @return
      */
-    public SearchData addStandWord(List<Lexeme> lexemes, Map<String, List<Map<String, String>>> standWords, SearchData sData) {
+    public SearchData addStandWord(List<Lexeme> lexemes, Map<String, List<Map<String, String>>> standWords, SearchData sData, String itemType) {
         List<Lexeme> feature = new ArrayList<>();
+
         //收集分词结果中体征指标或体征指标值（数字）
         for (Lexeme lexeme : lexemes) {
             if (lexeme.getProperty().contains(",")) {
                 ApplicationCacheUtil.setProterty(lexeme); //如果分词后词性有多个，只选一个(暂时只处理症状,体征)
             }
             NegativeEnum lexemeNegativeEnum = NegativeEnum.parseOfValue(lexeme.getProperty());
-            if (lexemeNegativeEnum == NegativeEnum.VITAL_INDEX || lexemeNegativeEnum == NegativeEnum.SYMPTOM || lexemeNegativeEnum == NegativeEnum.DIGITS
-                    || lexemeNegativeEnum == NegativeEnum.EVENT_TIME || lexemeNegativeEnum == NegativeEnum.UNIT
-                    ) {
-                feature.add(lexeme);
+            for (int i = 0; i < negativeEnums.length; i++) {
+                if (lexemeNegativeEnum == negativeEnums[i]) {
+                    feature.add(lexeme);
+                    break;
+                }
             }
         }
         //根据收集到的分词结果把体征指标和对应体征指标值（数字）拼接
         List<String> featureType = new ArrayList<>();
+
         for (int i = 0; i < feature.size(); i++) {
             boolean featureTypeState = true;
+            boolean featureTypeStatus = false;
             if (i < feature.size() - 2) {
-                if ((NegativeEnum.parseOfValue(feature.get(i).getProperty()) == NegativeEnum.VITAL_INDEX
-                        && NegativeEnum.parseOfValue(feature.get(i + 1).getProperty()) == NegativeEnum.DIGITS
-                        && NegativeEnum.parseOfValue(feature.get(i + 2).getProperty()) == NegativeEnum.UNIT)
-                        ||
-                        (NegativeEnum.parseOfValue(feature.get(i).getProperty()) == NegativeEnum.VITAL_INDEX
-                                && NegativeEnum.parseOfValue(feature.get(i + 1).getProperty()) == NegativeEnum.DIGITS
-                                && NegativeEnum.parseOfValue(feature.get(i + 2).getProperty()) == NegativeEnum.EVENT_TIME)
-                        ||
-                        (NegativeEnum.parseOfValue(feature.get(i).getProperty()) == NegativeEnum.SYMPTOM
-                                && NegativeEnum.parseOfValue(feature.get(i + 1).getProperty()) == NegativeEnum.DIGITS
-                                && NegativeEnum.parseOfValue(feature.get(i + 2).getProperty()) == NegativeEnum.UNIT)
-                        ||
-                        (NegativeEnum.parseOfValue(feature.get(i).getProperty()) == NegativeEnum.SYMPTOM
-                                && NegativeEnum.parseOfValue(feature.get(i + 1).getProperty()) == NegativeEnum.DIGITS
-                                && NegativeEnum.parseOfValue(feature.get(i + 2).getProperty()) == NegativeEnum.EVENT_TIME)) {
-                    featureType.add(feature.get(i).getText() + "\t" + feature.get(i + 1).getText() + "\t"
-                            + feature.get(i + 2).getText());
-                    featureTypeState = false;
+                for (int j = 0; j < negativeEnumTriple.length; j++) {
+                    String featureText = "";
+                    for (int k = 0; k < negativeEnumTriple[j].length; k++) {
+                        if (NegativeEnum.parseOfValue(feature.get(i + k).getProperty()) == negativeEnumTriple[j][k]) {
+                            featureTypeStatus = true;
+                            featureText += "\t" + feature.get(i + k).getText();
+                        } else {
+                            featureTypeStatus = false;
+                            break;
+                        }
+                    }
+                    if (featureTypeStatus) {
+                        featureType.add(featureText);
+                        featureTypeState = false;
+                    }
                 }
             }
             if (featureTypeState && i < feature.size() - 1) {
-                if ((NegativeEnum.parseOfValue(feature.get(i).getProperty()) == NegativeEnum.VITAL_INDEX
-                        && NegativeEnum.parseOfValue(feature.get(i + 1).getProperty()) == NegativeEnum.DIGITS)
-                        ||
-                        (NegativeEnum.parseOfValue(feature.get(i).getProperty()) == NegativeEnum.SYMPTOM
-                                && NegativeEnum.parseOfValue(feature.get(i + 1).getProperty()) == NegativeEnum.DIGITS)) {
-                    featureType.add(feature.get(i).getText() + "\t" + feature.get(i + 1).getText());
+                for (int j = 0; j < negativeEnumTwoTuple.length; j++) {
+                    String featureText = "";
+                    for (int k = 0; k < negativeEnumTwoTuple[j].length; k++) {
+                        if (NegativeEnum.parseOfValue(feature.get(i + k).getProperty()) == negativeEnumTwoTuple[j][k]) {
+                            featureTypeStatus = true;
+                            featureText += "\t" + feature.get(i + k).getText();
+                        } else {
+                            featureTypeStatus = false;
+                            break;
+                        }
+                    }
+                    if (featureTypeStatus) {
+                        featureType.add(featureText);
+                    }
                 }
             }
         }
         //将标准词中体征指标值（数字）与分词结果中体征指标值（数字）比较
         String newStandWord = "";
         for (String f : featureType) {
-            String[] features = f.split("\t");
+            String[] features = f.trim().split("\t");
             if (standWords.containsKey(features[0])) {
                 List<Map<String, String>> standWordList = standWords.get(features[0]);
                 for (Map<String, String> standWordMap : standWordList) {
                     if (standWordMap.containsKey("unit") && standWordMap.containsKey("value")) {
                         if (features.length == 2) {
-                            newStandWord = judgment(features, standWordMap, newStandWord,sData);
+                            newStandWord = judgment(features, standWordMap, newStandWord, sData, itemType);
                         } else {
                             if (standWordMap.get("unit").equals(features[2].toLowerCase())) {
-                                newStandWord = judgment(features, standWordMap, newStandWord,sData);
+                                newStandWord = judgment(features, standWordMap, newStandWord, sData, itemType);
                             }
                         }
                     } else if (standWordMap.containsKey("value")) {
                         if (features.length == 2) {
-                            newStandWord = judgment(features, standWordMap, newStandWord,sData);
+                            newStandWord = judgment(features, standWordMap, newStandWord, sData, itemType);
                         }
                     }
                 }
@@ -368,21 +411,22 @@ public class ParamsDataProxy {
         if (flag) {
             addStandWords += smallerStandWord;
         }
-        sData.setSymptom(sData.getSymptom() + "," + addStandWords);
-        System.out.println(sData.getSymptom());
+        addbloodPressure(sData, itemType, addStandWords);
         return sData;
     }
 
+
     /**
      * 将标准词中体征指标值（数字）与分词结果中体征指标值（数字）比较
      * 除了血压>140/90mmHg类似标准词，其他标准词直接添加在症状后面
+     *
      * @param features
      * @param standWordMap
      * @param standWord
      * @param sData
      * @return 血压>140/90mmHg或血压小于90/60mmHg或同时返回，在addStandWord()中进一步处理
      */
-    private String judgment(String[] features, Map<String, String> standWordMap, String standWord,SearchData sData) {
+    private String judgment(String[] features, Map<String, String> standWordMap, String standWord, SearchData sData, String itemType) {
         if (hasDigit(features[1])) {
             try {
                 if (">".equals(standWordMap.get("op"))) {
@@ -401,9 +445,10 @@ public class ParamsDataProxy {
                             }
                         }
                     } else {
+                        //"symptom","other","vital","lis","pacs","diag"
                         String num = getNum(standWordMap.get("value"));
                         if (Double.valueOf(getNum(features[1])) > Double.valueOf(num)) {
-                                sData.setSymptom(sData.getSymptom() + "," + proxy(standWordMap.get("standword")));
+                            setStandword(standWordMap, sData, itemType);
                         }
                     }
                 } else if ("<".equals(standWordMap.get("op"))) {
@@ -424,7 +469,7 @@ public class ParamsDataProxy {
                     } else {
                         String num = getNum(standWordMap.get("value"));
                         if (Double.valueOf(getNum(features[1])) < Double.valueOf(num)) {
-                            sData.setSymptom(sData.getSymptom() + "," + standWordMap.get("standword"));
+                            setStandword(standWordMap, sData, itemType);
                         }
                     }
                 } else if (">=".equals(standWordMap.get("op"))) {
@@ -445,7 +490,7 @@ public class ParamsDataProxy {
                     } else {
                         String num = getNum(standWordMap.get("value"));
                         if (Double.valueOf(getNum(features[1])) >= Double.valueOf(num)) {
-                            sData.setSymptom(sData.getSymptom() + "," + proxy(standWordMap.get("standword")));
+                            setStandword(standWordMap, sData, itemType);
                         }
                     }
                 } else if ("<=".equals(standWordMap.get("op"))) {
@@ -466,19 +511,104 @@ public class ParamsDataProxy {
                     } else {
                         String num = getNum(standWordMap.get("value"));
                         if (Double.valueOf(getNum(features[1])) <= Double.valueOf(num)) {
-                            sData.setSymptom(sData.getSymptom() + "," + standWordMap.get("standword"));
+                            setStandword(standWordMap, sData, itemType);
                         }
                     }
                 }
-            } catch (NumberFormatException e) {
+            } catch (Exception e) {
                 e.printStackTrace();
             }
         }
         return standWord;
     }
 
+    /**
+     * 根据不同项目添加标准词
+     *
+     * @param standWordMap
+     * @param sData
+     * @param itemType
+     */
+    private void setStandword(Map<String, String> standWordMap, SearchData sData, String itemType) {
+        switch (itemType) {
+            case "symptom":
+                if (sData.getSymptom().indexOf(proxy(standWordMap.get("standword"))) == -1) {
+                    sData.setSymptom(sData.getSymptom() + "," + proxy(standWordMap.get("standword")));
+                }
+                break;
+            case "other":
+                if (sData.getOther().indexOf(proxy(standWordMap.get("standword"))) == -1) {
+                    sData.setOther(sData.getOther() + "," + proxy(standWordMap.get("standword")));
+                }
+                break;
+            case "vital":
+                if (sData.getVital().indexOf(proxy(standWordMap.get("standword"))) == -1) {
+                    sData.setVital(sData.getVital() + "," + proxy(standWordMap.get("standword")));
+                }
+                break;
+            case "lis":
+                if (sData.getLis().indexOf(proxy(standWordMap.get("standword"))) == -1) {
+                    sData.setLis(sData.getLis() + "," + proxy(standWordMap.get("standword")));
+                }
+                break;
+            case "pacs":
+                if (sData.getPacs().indexOf(proxy(standWordMap.get("standword"))) == -1) {
+                    sData.setPacs(sData.getPacs() + "," + proxy(standWordMap.get("standword")));
+                }
+                break;
+            case "diag":
+                if (sData.getDiag().indexOf(proxy(standWordMap.get("standword"))) == -1) {
+                    sData.setDiag(sData.getDiag() + "," + proxy(standWordMap.get("standword")));
+                }
+                break;
+        }
+    }
+
+    /**
+     * 添加血压(血压既满足血压≥140/90mmHg，又满足血压小于90/60mmHg时，只取前者)
+     *
+     * @param sData
+     * @param itemType
+     * @param addStandWords
+     */
+    private void addbloodPressure(SearchData sData, String itemType, String addStandWords) {
+        switch (itemType) {
+            case "symptom":
+                if (sData.getSymptom().indexOf(addStandWords) == -1) {
+                    sData.setSymptom(sData.getSymptom() + "," + addStandWords);
+                }
+                break;
+            case "other":
+                if (sData.getOther().indexOf(addStandWords) == -1) {
+                    sData.setOther(sData.getOther() + "," + addStandWords);
+                }
+                break;
+            case "vital":
+                if (sData.getVital().indexOf(addStandWords) == -1) {
+                    sData.setVital(sData.getVital() + "," + addStandWords);
+                }
+                break;
+            case "lis":
+                if (sData.getLis().indexOf(addStandWords) == -1) {
+                    sData.setLis(sData.getLis() + "," + addStandWords);
+                }
+                break;
+            case "pacs":
+                if (sData.getPacs().indexOf(addStandWords) == -1) {
+                    sData.setPacs(sData.getPacs() + "," + addStandWords);
+                }
+                break;
+            case "diag":
+                if (sData.getDiag().indexOf(addStandWords) == -1) {
+                    sData.setDiag(sData.getDiag() + "," + addStandWords);
+                }
+                break;
+        }
+    }
+
     /**
      * 判断分词后的特征中是否含有数字
+     *
      * @param content
      * @return
      */
@@ -492,6 +622,7 @@ public class ParamsDataProxy {
 
     /**
      * 将字符串中的数字提取出来，针对分词结果中"90."类似情况
+     *
      * @param standWord
      * @return
      */
@@ -507,13 +638,14 @@ public class ParamsDataProxy {
 
     /**
      * 将血压超过标准值的标准词改为血压升高
+     *
      * @param standWord
      * @return
      */
-    private String proxy(String standWord){
-        if (standWord.contains("压") && (standWord.contains("≥") || standWord.contains("大于"))){
+    private String proxy(String standWord) {
+        if (standWord.contains("压") && (standWord.contains("≥") || standWord.contains("大于"))) {
             standWord = "血压升高";
-        } else if (standWord.contains("心率") && (standWord.contains("大于") || standWord.contains("超过"))){
+        } else if (standWord.contains("心率") && (standWord.contains("大于") || standWord.contains("超过"))) {
             standWord = "心率快";
         }
         return standWord;

bigdata-web/src/main/java/org/diagbot/bigdata/work/ResultDataProxy.java

@@ -12,10 +12,7 @@ import org.diagbot.nlp.util.NlpCache;
 
 import javax.servlet.http.HttpServletRequest;
 import java.text.DecimalFormat;
-import java.util.ArrayList;
-import java.util.HashMap;
-import java.util.List;
-import java.util.Map;
+import java.util.*;
 
 /**
  * @ClassName org.diagbot.bigdata.work.ResultDataProxy
@@ -25,17 +22,20 @@ import java.util.Map;
  * @Version 1.0
  **/
 public class ResultDataProxy {
+    protected static String[] vital_filter_data = Constants.vital_filter_data;
+
     public List<FeatureRate> proxy(HttpServletRequest request, BigDataSearchData searchData, List<Map.Entry<String, Float>> featuresOrderList, String featureType) {
         int cursor = 1;
         DecimalFormat df = new DecimalFormat("0.####");
         List<FeatureRate> featureList = new ArrayList<>(10);
 
-        Map<String, String> resultMappingVitalMap = ApplicationCacheUtil.getDoc_result_mapping_vital_map();
+//        Map<String, String> resultMappingVitalMap = ApplicationCacheUtil.getDoc_result_mapping_vital_map();
         Map<String, String> resultMappingDiagMap = ApplicationCacheUtil.getDoc_result_mapping_diag_map();
         Map<String, Map<String, ResultMappingFilter>> resultMappingFilterMap = ApplicationCacheUtil.getDoc_result_mapping_filter_map();
+        Map<String, Map<String, String>> synonymMap = ApplicationCacheUtil.getStandard_info_synonym_map();
         for (Map.Entry<String, Float> entry : featuresOrderList) {
             //过滤特征数据, 过滤低于阈值的数据
-            if (!resultFilter(request, searchData, featureType, entry.getKey(), entry.getValue())) {
+            if (!resultFilter(request, searchData, featureType, entry.getKey(), entry.getValue(), synonymMap)) {
                 continue;
             }
             //性别年龄过滤
@@ -58,15 +58,7 @@ public class ResultDataProxy {
             }
             FeatureRate featureRate = new FeatureRate();
             featureRate.setRate(df.format(entry.getValue()));
-            if (FeatureType.parse(featureType) == FeatureType.VITAL) {
-                if (StringUtils.isEmpty(resultMappingVitalMap.get(entry.getKey()))) {
-                    continue;
-                } else {
-                    featureRate.setFeatureName(resultMappingVitalMap.get(entry.getKey()));
-                }
-            } else {
-                featureRate.setFeatureName(entry.getKey());
-            }
+            featureRate.setFeatureName(entry.getKey());
 
             if (FeatureType.parse(featureType) == FeatureType.DIAG) {
                 featureRate.setFeatureName(entry.getKey());
@@ -93,15 +85,20 @@ public class ResultDataProxy {
         return featureList;
     }
 
-    public boolean resultFilter(HttpServletRequest request, BigDataSearchData searchData, String featureType, String result, float threshold) {
+    public boolean resultFilter(HttpServletRequest request, BigDataSearchData searchData, String featureType, String result, float threshold, Map<String, Map<String, String>> synonymMap) {
         //过滤录入条件中已有的特征信息
-        if (searchData.getInputs().get(result) != null && FeatureType.parse(featureType) != FeatureType.DIAG) {
+        if (searchData.getGraphInputs().get(result) != null && FeatureType.parse(featureType) != FeatureType.DIAG) {
+            return false;
+        }
+        if (FeatureType.parse(featureType) == FeatureType.SYMPTOM) {
+            if (searchData.getGraphInputs().get(synonymMap.get(Constants.word_property_symptom).get(result))!= null) {
+                return false;
+            }
+        }
+        int searched_position = Arrays.binarySearch(vital_filter_data, result);
+        if (searched_position > -1) {
             return false;
         }
-        //
-//        if (searchData.getFilters().get(result) != null) {
-//            return false;
-//        }
         return true;
     }
 
@@ -141,9 +138,6 @@ public class ResultDataProxy {
         for (Map.Entry<String, Float> entry : map.entrySet()) {
             synonym = convertMap.get(entry.getKey());
             if (synonym != null) {
-                if (isFilter && synonym.equals("阴道出血")) {
-                    System.out.println(entry.getKey() + "-->" + entry.getValue());
-                }
                 if (result.get(synonym) == null) {
                     result.put(synonym, entry.getValue());
                 } else {

bigdata-web/src/main/resources/application.yml

@@ -12,7 +12,7 @@ spring:
       charset: UTF-8
       enabled: true
   datasource:       # mybatis 配置，使用druid数据源
-    url: jdbc:mysql://192.1.3.116:3306/bigdata-web?useUnicode=true&characterEncoding=UTF-8
+    url: jdbc:mysql://1.1.1.1:3306/bigdata-web?useUnicode=true&characterEncoding=UTF-8
     username: root
     password: langtong
     type: com.alibaba.druid.pool.DruidDataSource

bigdata-web/src/main/resources/doc_result_mapping_diag.dict

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bigdata-web/src/main/resources/kl_result_mapping_standword.dict

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bigdata-web/src/test/java/org/diagbot/AddStandWordTest.java

@@ -28,25 +28,62 @@ public class AddStandWordTest {
         //        for (Map.Entry<String, List<Map<String, String>>> entry:entries) {
         //            System.out.println(entry.getKey() + "\t"+ entry.getValue());
         //        }
-//        getStandWordFeatureType();
-//        ApplicationCacheUtil.getKl_result_mapping_standword_map();
-        long startTime = System.currentTimeMillis();
+        //        getStandWordFeatureType();
+        //        ApplicationCacheUtil.getKl_result_mapping_standword_map();
+        /*long startTime = System.currentTimeMillis();
         ApplicationCacheUtil.getKl_result_mapping_standword_map();
         long endCacheTime = System.currentTimeMillis();
         long cacheTime = endCacheTime - startTime;
         System.out.println("处理标准词最终用了:" + cacheTime + "毫秒.");
         SearchData searchData = new SearchData();
-//        searchData.setSymptom("血压14/43mmhg,收缩压146mmhg,血压149/43mmhg");
-        searchData.setSymptom("心率120");
+//        searchData.setSymptom("血压14/43mmhg,收缩压140mmhg,血压149/43mmhg");
+        searchData.setSymptom("病程6月");
         long splitStartTime = System.currentTimeMillis();
         LexemePath<Lexeme> data = ParticipleUtil.participle(searchData.getSymptom());
         ParamsDataProxy paramsDataProxy = new ParamsDataProxy();
-        paramsDataProxy.addStandWord(data, ApplicationCacheUtil.kl_result_mapping_standword_map, searchData);
+        paramsDataProxy.addStandWord(data, ApplicationCacheUtil.kl_result_mapping_standword_map, searchData,"symptom");
         long endTime = System.currentTimeMillis();
         long splitSeconds = endTime - splitStartTime;
         long seconds = endTime - startTime;
         System.out.println("添加标准词使用了:"+splitSeconds + "毫秒.");
-        System.out.println("处理文本总共使用了:"+seconds + "毫秒.");
+        System.out.println("处理文本总共使用了:"+seconds + "毫秒.");*/
+        for (int j = 1; j < 11; j++) {
+
+
+            SearchData searchData = new SearchData();
+            ParamsDataProxy paramsDataProxy = new ParamsDataProxy();
+            searchData.setSymptom("安静时心率98次/分");
+            searchData.setOther("心率156次/分");
+            searchData.setVital("男性43岁");
+            searchData.setLis("Hachinski缺血积分2分");
+            searchData.setPacs("病程9个月");
+            searchData.setDiag("BMI12");
+            String[] items = { searchData.getSymptom(), searchData.getOther(), searchData.getVital()
+                    , searchData.getLis(), searchData.getPacs(), searchData.getDiag() };
+            String[] itemsType = { "symptom", "other", "vital", "lis", "pacs", "diag" };
+            long startTime = System.currentTimeMillis();
+            for (int i = 0; i < items.length; i++) {
+                if (items[i] != null) {
+                    LexemePath<Lexeme> featureData = ParticipleUtil.participle(items[i]);
+                    if (featureData != null) {
+                        paramsDataProxy.addStandWord(featureData, ApplicationCacheUtil.getKl_result_mapping_standword_map(), searchData, itemsType[i]);
+                    }
+                }
+            }
+            System.out.println(searchData.getSymptom());
+            System.out.println(searchData.getOther());
+            System.out.println(searchData.getVital());
+            System.out.println(searchData.getLis());
+            System.out.println(searchData.getPacs());
+            System.out.println(searchData.getDiag());
+            long endTime = System.currentTimeMillis();
+            System.out.println("处理文本总共使用了:" + (endTime - startTime) + "毫秒.");
+            System.out.println("---------------------------第" + j + "次处理---------------------------------");
+        }
+        //        String s = "\tsafGG\tAFASSADG";
+        //        System.out.println(s);
+        //        System.out.println(s.trim());
+
     }
 
     public static void getStandWordFeatureType() throws IOException {
@@ -83,7 +120,7 @@ public class AddStandWordTest {
                 }
             }
             int i = 1;
-            for (Lexeme lexeme:lexemes) {
+            for (Lexeme lexeme : lexemes) {
                 if (lexeme.getProperty().contains(",")) {
                     ApplicationCacheUtil.setProterty(lexeme);
                 }

bigdata-web/src/test/java/org/diagbot/CacheFileManagerTest.java

@@ -26,7 +26,7 @@ public class CacheFileManagerTest {
     }
 
     public void contextMappingInitialized() {
-        MysqlJdbc nlpJdbc = new MysqlJdbc("root", "diagbot@20180822", "jdbc:mysql://192.168.2.235:3306/med-s?useUnicode=true&characterEncoding=UTF-8");
+        MysqlJdbc nlpJdbc = new MysqlJdbc("root", "lantone", "jdbc:mysql://192.168.2.121:3306/med?useUnicode=true&characterEncoding=UTF-8");
         Connection conn = nlpJdbc.connect();
         Statement st = null;
         ResultSet rs = null;

common-push/pom.xml

@@ -0,0 +1,36 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <parent>
+        <artifactId>push</artifactId>
+        <groupId>org.diagbot</groupId>
+        <version>1.0.0</version>
+    </parent>
+    <modelVersion>4.0.0</modelVersion>
+
+    <artifactId>common-push</artifactId>
+
+    <name>common-push</name>
+    <!-- FIXME change it to the project's website -->
+    <url>http://www.example.com</url>
+
+    <dependencies>
+        <dependency>
+            <groupId>org.diagbot</groupId>
+            <artifactId>public</artifactId>
+            <version>${project.version}</version>
+        </dependency>
+        <dependency>
+            <groupId>org.diagbot</groupId>
+            <artifactId>graph</artifactId>
+            <version>1.0.0</version>
+            <scope>compile</scope>
+        </dependency>
+    </dependencies>
+
+    <build>
+        <finalName>common-push</finalName>
+    </build>
+</project>

common-push/src/main/java/org/diagbot/common/push/Test.java

@@ -0,0 +1,11 @@
+package org.diagbot.common.push;
+
+/**
+ * @ClassName org.diagbot.common.push.Test
+ * @Description TODO
+ * @Author fyeman
+ * @Date 2019/8/5/005 17:07
+ * @Version 1.0
+ **/
+public class Test {
+}

common-push/src/main/java/org/diagbot/common/push/cache/CacheFileManager.java

@@ -0,0 +1,426 @@
+package org.diagbot.common.push.cache;
+
+import org.diagbot.pub.jdbc.MysqlJdbc;
+import org.diagbot.pub.utils.PropertiesUtil;
+import org.diagbot.pub.utils.security.EncrypDES;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import org.springframework.util.StringUtils;
+
+import java.io.File;
+import java.io.FileWriter;
+import java.io.IOException;
+import java.sql.Connection;
+import java.sql.ResultSet;
+import java.sql.SQLException;
+import java.sql.Statement;
+import java.util.*;
+
+/**
+ * Created by louhr on 2019/8/16.
+ */
+public class CacheFileManager {
+    Logger logger = LoggerFactory.getLogger(CacheFileManager.class);
+
+    private String user = "root";
+    private String password = "lantone";
+    private String url = "jdbc:mysql://192.168.2.236:3306/med?useUnicode=true&characterEncoding=UTF-8";
+
+    private String path = "";
+
+    public static void main(String[] args) {
+        CacheFileManager cacheFileManager = new CacheFileManager();
+        PropertiesUtil propertiesUtil = new PropertiesUtil("nlp.properties");
+        String p = propertiesUtil.getProperty("cache.file.dir");
+        File file = new File(p);
+        if (!file.exists()) {
+            file.mkdirs();
+        }
+        //自然语言处理
+        cacheFileManager.createNlpCacheFile(p);
+        //大数据
+        cacheFileManager.createBigDataCacheFile(p);
+        //图谱
+        cacheFileManager.createGraphCacheFile(p);
+    }
+
+    public CacheFileManager() {
+        PropertiesUtil propertiesUtil = new PropertiesUtil("nlp.properties");
+        String p = propertiesUtil.getProperty("cache.file.dir");
+        File file = new File(p);
+        if (!file.exists()) {
+            file.mkdirs();
+        }
+        logger.info("cache file path...." + p);
+        path = p;
+    }
+
+    public void createCacheFile() {
+        createNlpCacheFile(path);
+        createGraphCacheFile(path);
+        createBigDataCacheFile(path);
+    }
+
+    public void createNlpCacheFile() {
+        createNlpCacheFile(path);
+    }
+
+    public void createNlpCacheFile(String path) {
+        MysqlJdbc nlpJdbc = new MysqlJdbc(user, password, url);
+        Connection conn = nlpJdbc.connect();
+        Statement st = null;
+        ResultSet rs = null;
+        try {
+            EncrypDES encrypDES = new EncrypDES();
+            //所有词典库 不能用concat_group 大小写不区分
+            String sql = "select l_1.name l_1_name, l_1.type_id type_id, l_2.name l_2_name, l_1.concept_id from kl_library_info l_1\n" +
+                    "                    left join kl_library_info l_2 on l_1.concept_id = l_2.concept_id and l_2.is_concept = 1\n" +
+                    "left join kl_concept kc on l_1.concept_id = kc.id\n" +
+                    "where kc.is_deleted = 'N' ";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+            FileWriter fw = new FileWriter(path + "tc.dict");
+
+            Map<String, String> idMap = new HashMap<>(10);
+            Map<String, String> nameMap = new HashMap<>(10);
+            String r1;
+            String r2;
+            String r3;
+            while (rs.next()) {
+                r1 = rs.getString(1);
+                r2 = rs.getString(2);
+                r3 = rs.getString(4);
+                if (idMap.get(r1) == null) {
+                    idMap.put(r1, r2);
+                    nameMap.put(r1, r3);
+                } else if (idMap.get(r1) != null) {
+                    idMap.put(r1, idMap.get(r1) + "," + r2);
+                    nameMap.put(r1, nameMap.get(r1) + "," + r3);
+                }
+            }
+
+            List<Map.Entry<String, String>> libraryList = new ArrayList<Map.Entry<String, String>>(idMap.entrySet());
+            Collections.sort(libraryList, new Comparator<Map.Entry<String, String>>() {
+                public int compare(Map.Entry<String, String> o1, Map.Entry<String, String> o2) {
+                    return o1.getKey().compareTo(o2.getKey());
+                }
+            });
+            for (Map.Entry<String, String> entry : libraryList) {
+                fw.write(encrypDES.encrytor(entry.getKey() + "|9|"
+                        + entry.getValue() + "|" + nameMap.get(entry.getKey())));
+                fw.write("\n");
+            }
+
+            fw.close();
+
+            sql = "SELECT l_1.name l_1_name, l_2.name l_2_name, l_1.type_id FROM kl_library_info l_1 " +
+                    "left join kl_library_info l_2 on l_1.concept_id = l_2.concept_id and l_2.is_concept = '1' " +
+                    "where l_1.is_concept = '0'";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+
+            fw = new FileWriter(path + "synonym.dict");
+            while (rs.next()) {
+                r1 = rs.getString(1);
+                r2 = rs.getString(2);
+                r3 = rs.getString(3);
+                fw.write(encrypDES.encrytor(r1 + "|" + r2 + "|" + r3));
+                fw.write("\n");
+            }
+            fw.close();
+
+            sql = "SELECT l_1.name l_1_name, l_2.name l_2_name FROM kl_relation r " +
+                    "left join kl_concept c1 on r.start_id = c1.id " +
+                    "left join kl_concept c2 on r.end_id = c2.id " +
+                    "left join kl_library_info l_1 on l_1.id = c1.lib_id " +
+                    "left join kl_library_info l_2 on l_2.id = c2.lib_id where r.relation_id = 3";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+
+            libraryList = rsToMap(rs, false);
+
+            fw = new FileWriter(path + "chronic.dict");
+            for (Map.Entry<String, String> entry : libraryList) {
+                fw.write(encrypDES.encrytor(entry.getKey() + "|" + entry.getValue()));
+                fw.write("\n");
+            }
+            fw.close();
+
+            //推送词典
+            sql = "select k1.lib_name k1_lib_name, k2.lib_name k2_lib_name from kl_relation r " +
+                    "left join kl_concept k1 on k1.id = r.start_id " +
+                    "left join kl_concept k2 on k2.id = r.end_id " +
+                    "where r.relation_id = 19 and k1.is_deleted = 'N' and k2.is_deleted = 'N' and k1.lib_type = 1 and k2.lib_type = 1";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+            libraryList = rsToMap(rs, true);
+
+            fw = new FileWriter(path + "push-tc.dict");
+            for (Map.Entry<String, String> entry : libraryList) {
+                fw.write(encrypDES.encrytor(entry.getKey() + "|" + entry.getValue()));
+                fw.write("\n");
+            }
+            fw.close();
+
+            fw = new FileWriter(path + "classify.dict");
+            fw.close();
+        } catch (IOException ioe) {
+            ioe.printStackTrace();
+        } catch (SQLException sqle) {
+            sqle.printStackTrace();
+        } catch (Exception e) {
+            e.printStackTrace();
+        } finally {
+            nlpJdbc.close(rs, st, conn);
+        }
+    }
+
+    public void createGraphCacheFile() {
+        createGraphCacheFile(path);
+    }
+
+    public void createGraphCacheFile(String path) {
+        MysqlJdbc nlpJdbc = new MysqlJdbc(user, password, url);
+        Connection conn = nlpJdbc.connect();
+        Statement st = null;
+        ResultSet rs = null;
+        try {
+            //疾病I、II类
+            EncrypDES encrypDES = new EncrypDES();//加密对象
+            String sql = "SELECT con.lib_name, dis.classify from kl_disease dis, kl_concept con where dis.concept_id = con.id";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+            FileWriter fw = new FileWriter(path + "graph_diag_classify.dict");
+            String  r2 ,r3;
+            while (rs.next()) {
+                r2 = rs.getString(1);//疾病名称
+                r3 = rs.getString(2);//疾病类别
+                fw.write(encrypDES.encrytor(r2+ "|" + r3));
+                fw.write("\n");
+            }
+            fw.close();
+            //性别年龄
+            sql = "SELECT k1.lib_name, k1.lib_type, kcc.sex_type, kcc.min_age, kcc.max_age \n" +
+                    "FROM kl_concept_common kcc, kl_concept k1 \n" +
+                    "where kcc.concept_id = k1.id \n" +
+                    "and k1.lib_type in (18)";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+            fw = new FileWriter(path + "graph_sex_age_filter.dict");
+            String r1, r4, r5;
+            while (rs.next()) {
+                r1 = rs.getString(1);//术语名称
+                r2 = rs.getString(3);//sexType 1:男 2:女 3:都可以
+                r3 = rs.getString(4);//min_age
+                r4 = rs.getString(5);//max_age
+                fw.write(encrypDES.encrytor(r1 + "|" + r2 + "|" + r3+ "|" + r4));
+                fw.write("\n");
+            }
+            fw.close();
+            //体征结果转体征指标
+            sql = "SELECT\n" +
+                    "\ti1.lib_name name1,\n" +
+                    "\ti2.lib_name name2 \n" +
+                    "FROM\n" +
+                    "\t`kl_relation` l \n" +
+                    "\tLEFT JOIN kl_concept i1 ON l.start_id = i1.id \n" +
+                    "\tLEFT JOIN kl_concept i2 ON l.end_id = i2.id \n" +
+                    "where l.relation_id=19 AND i1.lib_type=35 AND i2.lib_type=33 AND l.is_deleted='N'";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+            fw = new FileWriter(path + "graph_vital_convert.dict");
+            while (rs.next()) {
+                r1 = rs.getString(1);//体征结果
+                r2 = rs.getString(2);//体征指标
+                fw.write(encrypDES.encrytor(r1 + "|" + r2));
+                fw.write("\n");
+            }
+            fw.close();
+            //疾病科室信息
+            sql = "SELECT k1.lib_name diag_name, k2.lib_name dept_name FROM kl_concept_common kcc, kl_concept k1, kl_concept k2 " +
+                    "where kcc.concept_id = k1.id and kcc.dept_id = k2.id " +
+                    "and k1.lib_type = 18 and kcc.dept_id  is not null";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+            List<Map.Entry<String, String>> libaryList = rsToMap(rs, true);
+            fw = new FileWriter(path + "graph_diag_2_dept.dict");
+            for (Map.Entry<String, String> entry : libaryList) {
+                fw.write(encrypDES.encrytor(entry.getKey() + "|" + entry.getValue()));
+                fw.write("\n");
+            }
+            fw.close();
+
+            sql = "SELECT g.diag_level1,g.diag_level2,g.diag_level3 FROM `kl_disease_normalize` g ";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+            fw = new FileWriter(path + "graph_diag_normalize.dict");
+            while (rs.next()) {
+                r1 = rs.getString(1);
+                r2 = rs.getString(2);
+                r3 = rs.getString(3);
+                fw.write(encrypDES.encrytor(r1+ "|" + r2+ "|" + r3));
+                fw.write("\n");
+            }
+            fw.close();
+        } catch (Exception e) {
+            e.printStackTrace();
+        } finally {
+            nlpJdbc.close(rs, st, conn);
+        }
+    }
+
+    public void createBigDataCacheFile() {
+        createBigDataCacheFile(path);
+    }
+
+    public void createBigDataCacheFile(String path) {
+        MysqlJdbc nlpJdbc = new MysqlJdbc(user, password, url);
+        Connection conn = nlpJdbc.connect();
+        Statement st = null;
+        ResultSet rs = null;
+        try {
+            EncrypDES encrypDES = new EncrypDES();
+            //疾病科室
+            String sql = "SELECT k1.lib_name diag_name, k2.lib_name dept_name FROM kl_concept_common kcc, kl_concept k1, kl_concept k2 " +
+                    "where kcc.concept_id = k1.id and kcc.dept_id = k2.id " +
+                    "and k1.lib_type = 18 and kcc.dept_id  is not null";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+            List<Map.Entry<String, String>> libraryList = rsToMap(rs, true);
+
+            FileWriter fw = new FileWriter(path + "bigdata_diag_2_dept.dict");
+            for (Map.Entry<String, String> entry : libraryList) {
+                fw.write(encrypDES.encrytor(entry.getKey() + "|" + entry.getValue()));
+                fw.write("\n");
+            }
+            fw.close();
+
+            //性别年龄
+            sql = "SELECT k1.lib_name, k1.lib_type, kcc.sex_type, kcc.min_age, kcc.max_age " +
+                    "FROM kl_concept_common kcc, kl_concept k1 " +
+                    "where kcc.concept_id = k1.id " +
+                    "and k1.lib_type in (1, 18)";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+            fw = new FileWriter(path + "bigdata_sex_age_filter.dict");
+
+            String r1, r2, r3, r4, r5;
+            while (rs.next()) {
+                r1 = rs.getString(1);
+                r2 = rs.getString(2);
+                r3 = rs.getString(3);
+                r4 = rs.getString(4);
+                r5 = rs.getString(5);
+                if ("18".equals(r2)) {
+                    r2 = "2";
+                }
+                fw.write(encrypDES.encrytor(r1 + "|" + r2 + "|" + r3 + "|" + r4 + "|" + r5));
+                fw.write("\n");
+            }
+            fw.close();
+
+            sql = "SELECT lib_name FROM kl_concept WHERE is_deleted = 'N' AND lib_type = 70 AND lib_name regexp '[0-9]'";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+
+            fw = new FileWriter(path + "bigdata_value_analyze.dict");
+            while (rs.next()) {
+                fw.write(encrypDES.encrytor(rs.getString(1)));
+                fw.write("\n");
+            }
+            fw.close();
+
+            //规则过滤信息
+            sql = "SELECT set_name, idx_name, min_operator, min_value, min_unit, max_operator, " +
+                    " max_value, max_unit, eq_operator, eq_value, eq_unit, remind FROM kl_rule ";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+            fw = new FileWriter(path + "rule_filter.dict");
+            String r6, r7, r8, r9, r10, r11, r12;
+            while (rs.next()) {
+                r1 = rs.getString(1);
+                r2 = rs.getString(2);
+                r3 = rs.getString(3);
+                r4 = rs.getString(4);
+                r5 = rs.getString(5);
+                r6 = rs.getString(6);
+                r7 = rs.getString(7);
+                r8 = rs.getString(8);
+                r9 = rs.getString(9);
+                r10 = rs.getString(10);
+                r11 = rs.getString(11);
+                r12 = rs.getString(12);
+                fw.write(encrypDES.encrytor(r1+ "|" + r2 + "|" + r3 + "|" + r4 + "|" + r5
+                        + "|" + r6 + "|" + r7 + "|" + r8 + "|" + r9 + "|" + r10 + "|" + r11 + "|" + r12));
+                fw.write("\n");
+            }
+            fw.close();
+
+//            //规则过滤信息
+//            sql = "SELECT idx_name, set_name, set_status, min_value, max_value, standard_value, " +
+//                    " , unit, concept_text, crisis_status, remind FROM kl_rule_new ";
+//            st = conn.createStatement();
+//            rs = st.executeQuery(sql);
+//            fw = new FileWriter(path + "bigdata_rule_filter.dict");
+//            String r10;
+//            while (rs.next()) {
+//                r1 = rs.getString(1);
+//                r2 = rs.getString(2);
+//                r3 = rs.getString(3);
+//                r4 = rs.getString(4);
+//                r5 = rs.getString(5);
+//                r6 = rs.getString(6);
+//                r7 = rs.getString(7);
+//                r8 = rs.getString(8);
+//                r9 = rs.getString(9);
+//                r10 = rs.getString(10);
+//                r1 = StringUtils.isEmpty(r1)?"":r1;
+//                r2 = StringUtils.isEmpty(r1)?"":r2;
+//                r3 = StringUtils.isEmpty(r1)?"":r3;
+//                r4 = StringUtils.isEmpty(r1)?"":r4;
+//                r5 = StringUtils.isEmpty(r1)?"":r5;
+//                r6 = StringUtils.isEmpty(r1)?"":r6;
+//                r7 = StringUtils.isEmpty(r1)?"":r7;
+//                r8 = StringUtils.isEmpty(r1)?"":r8;
+//                r9 = StringUtils.isEmpty(r1)?"":r9;
+//                r10 = StringUtils.isEmpty(r1)?"":r10;
+//                fw.write(encrypDES.encrytor(r1+ "|" + r2 + "|" + r3 + "|" + r4 + "|" + r5
+//                        + "|" + r6 + "|" + r7 + "|" + r8 + "|" + r9 + "|" + r10));
+//                fw.write("\n");
+//            }
+//            fw.close();
+        } catch (IOException ioe) {
+            ioe.printStackTrace();
+        } catch (SQLException sqle) {
+            sqle.printStackTrace();
+        }  catch (Exception e) {
+            e.printStackTrace();
+        } finally {
+            nlpJdbc.close(rs, st, conn);
+        }
+    }
+
+    private List<Map.Entry<String, String>> rsToMap(ResultSet rs, boolean isJoin) throws SQLException{
+        String r1 = "";
+        String r2 = "";
+        Map<String, String> libraryMap = new HashMap<>(10);
+        while (rs.next()) {
+            r1 = rs.getString(1);
+            r2 = rs.getString(2);
+            if (libraryMap.get(r1) == null) {
+                libraryMap.put(r1, r2);
+            } else if (isJoin && libraryMap.get(r1) != null) {
+                libraryMap.put(r1, libraryMap.get(r1) + "," + r2);
+            }
+        }
+
+        List<Map.Entry<String, String>> libraryList = new ArrayList<Map.Entry<String, String>>(libraryMap.entrySet());
+        Collections.sort(libraryList, new Comparator<Map.Entry<String, String>>() {
+            public int compare(Map.Entry<String, String> o1, Map.Entry<String, String> o2) {
+                return o1.getKey().compareTo(o2.getKey());
+            }
+        });
+
+        return libraryList;
+    }
+}

common-push/src/main/java/org/diagbot/common/push/filter/ClassifyDiag.java

@@ -0,0 +1,524 @@
+package org.diagbot.common.push.filter;
+
+import com.alibaba.fastjson.JSONObject;
+import org.apache.commons.lang3.StringUtils;
+import org.diagbot.common.work.FeatureRate;
+import org.diagbot.common.work.ResponseData;
+import org.diagbot.graph.util.CacheUtil;
+
+import java.text.DecimalFormat;
+import java.util.*;
+import java.util.stream.Stream;
+
+/**
+ * Created by kwz on 2019/8/5.
+ */
+public class ClassifyDiag {
+    //诊断-->部门
+    Map<String, String>  diagDepartCache     = CacheUtil.getDiagDepartCache();
+    //get diagClassifyCache
+    Map<String, String>  diagClassifyCache   = CacheUtil.getDiagClassifyCache();
+    //每个诊断所在的级别缓存
+    Map<String, Integer> diagClassifyJiCache = CacheUtil.getDiagClassifyJiCache();
+
+   /* public static void main(String[] args) {
+
+        List<String> disList = new LinkedList<>();
+        String[] disArray = {"急性胰腺炎","冠心病","急性冠状动脉综合征","急性非ST段抬高型心肌梗死","急性ST段抬高型心肌梗死"
+        ,"三度房室传导阻滞","心力衰竭","急性心力衰竭"};
+         disList = Arrays.asList(disArray);
+        System.out.println("输入的诊断"+disList);
+        List<FeatureRate> inintFeature = new ArrayList<>();
+        Double inintNumber = 0.95;
+        String rate = "";
+        for (String dis:disList) {
+            FeatureRate featureRate = new FeatureRate();
+            featureRate.setFeatureName(dis);
+            inintNumber = inintNumber - 0.1;
+            rate = String.valueOf(inintNumber);
+            featureRate.setRate(rate);
+            inintFeature.add(featureRate);
+        }
+
+        ClassifyDiag classifyDiag = new ClassifyDiag();
+        List<FeatureRate> classify = classifyDiag.diagClassify(inintFeature);
+        System.out.println("hao hai you");
+        for (FeatureRate d:classify) {
+            System.out.println(d.getFeatureName()+"\t"+d.getRate()+"\t"+d.getExtraProperty());
+        }
+
+    }*/
+
+    /**
+     * 根据诊断依据规则过滤诊断
+     * @param graphResponseData 把过滤的诊断包装在这个对象里
+     * @param graphFeatures 过滤前的诊断结果
+     * @return 返回过滤后的诊断结果
+     */
+    public List<FeatureRate> filterDiag(ResponseData graphResponseData,List<FeatureRate> graphFeatures){
+        //根据诊断依据规则过滤掉的诊断列表
+        List<String> excludeDiag = graphResponseData.getExcludeDiag();
+        //将需要排除的诊断从列表中删除
+        List<FeatureRate> updateFeatures = new ArrayList<>();
+        if(excludeDiag != null){
+            for(int j = 0;j<graphFeatures.size();j++){
+                if(excludeDiag.indexOf(graphFeatures.get(j).getFeatureName()) == -1){
+                    updateFeatures.add(graphFeatures.get(j));
+                }
+            }
+            return updateFeatures;
+        }else {
+            return graphFeatures;
+        }
+
+    }
+
+    /**
+     * 诊断归一
+     * @param updateFeatures 归一前的诊断
+     * @return 归一后的诊断
+     */
+    public List<FeatureRate> diagClassify(List<FeatureRate> updateFeatures){
+        List<FeatureRate> finalDiagList = new LinkedList<>();//最终返回
+        List<String> highDiagList = new LinkedList<>();//警惕集合
+        List<String> queDiagList = new LinkedList<>();//确诊集合
+        List<String> bigDiagList = new LinkedList<>();//可能诊断集合
+        if(updateFeatures != null && updateFeatures.size()>0){
+            for(FeatureRate featureRate:updateFeatures){
+                String featureName = featureRate.getFeatureName();
+                String desc = featureRate.getDesc();
+                Map<String,Object> d = new HashMap<>();
+                if(desc != null){
+                    JSONObject jsonObject = JSONObject.parseObject(desc);
+                    d = jsonObject;
+                    if(d.keySet().size() == 1 && "警惕".equals(d.keySet().toArray()[0])){
+                        highDiagList.add(featureName);
+                    }else {
+                        queDiagList.add(featureName);
+                    }
+                }else {
+                    bigDiagList.add(featureName);
+                }
+            }
+        }
+        //先把警惕的加进去
+        if(highDiagList.size()>0){
+            for(int j =0;j<updateFeatures.size();j++){
+                FeatureRate featureRate = updateFeatures.get(j);
+                String featureName = featureRate.getFeatureName();
+                int i = highDiagList.indexOf(featureName);
+                if(i >= 0){
+                    finalDiagList.add(featureRate);
+                }
+            }
+        }
+        /**
+         * 这里处理一下可能诊断剔除的功能
+         * 如果图谱推出的诊断和可能诊断有层级关系，就把对应的可能诊断剔除
+         */
+        Set<String> queSet =null;
+        List<String> newBIgDiagList = this.removeKeng(queDiagList, bigDiagList);
+        System.out.println("图谱归一前数据 ："+queDiagList);
+        if(queDiagList != null && queDiagList.size()>0){
+            //图谱归一 ,图谱sign =0,大数据sign = 1
+            queSet = this.diagProcess(queDiagList,0);
+            System.out.println("图谱归一后的数据    ："+queSet);
+            if(queSet != null && queSet.size()>0){
+                for (String queDis:queSet) {
+                    if(queDiagList.indexOf(queDis)>=0){ //可以找到，就取出来，用原来的
+                        FeatureRate feature = this.getFeature(updateFeatures, queDis);
+                        feature.setExtraProperty(diagDepartCache.get(queDis));
+                        finalDiagList.add(feature);
+                    }else {
+                        FeatureRate featureRate = new FeatureRate();
+                        featureRate.setFeatureName(queDis);
+                        featureRate.setDesc("{\"确诊\":\"\"}");
+                        featureRate.setExtraProperty(diagDepartCache.get(queDis));
+                        featureRate.setSource("neo4j");
+                        finalDiagList.add(featureRate);
+                    }
+                }
+            }
+        }
+
+
+        if(newBIgDiagList!= null && newBIgDiagList.size()>0){
+            //大数据的可能诊断归一和排序
+            List<FeatureRate> featureRates = this.sortFeatureList(newBIgDiagList, updateFeatures);
+            //把可能诊断中和图谱相同的诊断去除
+            if(featureRates != null && featureRates.size()>0 && queSet !=null){
+                for (FeatureRate f:featureRates) {
+                    if(queSet.contains(f.getFeatureName())){
+                        featureRates.remove(f);
+                        continue;
+                    }
+                }
+            }
+            finalDiagList.addAll(featureRates);
+        }
+
+        return finalDiagList;
+
+    }
+
+    /**
+     * 诊断排序（诊断分为I类和II类，I类在前，II类在后，没有分类的诊断认为是I类）
+     * @param updateFeatureRates  //入参（通过过滤条件过滤后）
+     * @return
+     */
+    public List<FeatureRate> sortDiag(List<FeatureRate> updateFeatureRates){
+        Map<String, String> diagSortCache = CacheUtil.getDiagSortCache();
+        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(featureName);
+                        }
+                    }else {
+                        bigDataIDiagList.add(featureName);
+                    }
+                }
+            }
+        }
+        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;
+    }
+
+    /**
+     * 去除可能诊断和确诊有关系的诊断
+     * @param queDiagList
+     * @param bigDiagList
+     * @return
+     */
+    public List<String> removeKeng(List<String> queDiagList,List<String> bigDiagList){
+        List<String> bigList = new ArrayList<>();
+        Set<String> queAll = new HashSet<>();
+        if(queDiagList.size()>0 && bigDiagList.size()>0){
+            for (String dis:queDiagList) {
+                String s = diagClassifyCache.get(dis);
+                if(s != null){
+                    queAll.add(s);
+                }
+                queAll.add(dis);
+                List<Object> key = this.getKey(diagClassifyCache, dis);
+                if(key != null && key.size()>0){
+                    for (Object o:key) {
+                        queAll.add(o.toString());
+                        List<Object> key1 = this.getKey(diagClassifyCache, o.toString());
+                        if(key1 !=null && key1.size()>0){
+                            for (Object o1:key1
+                                 ) {
+                                queAll.add(o1.toString());
+                            }
+                        }
+                    }
+
+                }
+
+            }
+        }
+        System.out.println(queAll);
+        String[] strings = queAll.stream().toArray(String[]::new);
+        if(bigDiagList != null && bigDiagList.size()>0){
+            for (String dis:bigDiagList) {
+                if(Arrays.asList(strings).indexOf(dis) == -1){
+                    bigList.add(dis);
+                }
+            }
+        }
+        return bigList;
+    }
+
+
+
+
+
+    /**
+     * 诊断归一和排序
+     * @param disList
+     * @return
+     */
+    public Set<String> diagProcess(List<String> disList,int sign){
+        Set<String> first = new LinkedHashSet<>();
+        Set<String> second= new LinkedHashSet<>();
+        Set<String> third= new LinkedHashSet<>();
+        Set<String> other= new LinkedHashSet<>();
+
+        /**
+         * 分级
+         * 初始化每个病出现的次数为0
+         */
+        Map<String, Integer> children_cnt = new HashMap<>();
+        for (String dis:disList) {
+            Integer ji = diagClassifyJiCache.get(dis);
+            if(ji != null){
+                if(1 == ji){
+                    first.add(dis);
+                    children_cnt.put(dis,0);
+                }else if(2 == ji){
+                    second.add(dis);
+                    children_cnt.put(dis,0);
+                }else if(3 == ji){
+                    third.add(dis);
+                    children_cnt.put(dis,0);
+                }
+            }else {
+                other.add(dis);
+            }
+        }
+        /**
+         * 从孙子找父亲，根据父亲找爷爷
+         */
+        if(third != null && third.size()>0){
+            for (String dis:third) {
+                String s = diagClassifyCache.get(dis);
+                Integer count = children_cnt.get(s);
+                if(s != null){
+                    children_cnt.put(s,(count == null)?1:count+1);
+                    second.add(s);
+                }
+
+            }
+        }
+
+        if(second != null && second.size()>0){
+            for (String dis:second) {
+                String s = diagClassifyCache.get(dis);
+                Integer count = children_cnt.get(s);
+                if(s != null){
+                    children_cnt.put(s,(count == null)?1:count+1);
+                    first.add(s);
+                }
+            }
+        }
+        List<String> pushDiag = new ArrayList<>();
+        //从顶级往下级依次看
+        for (String dis:first) {
+            Integer count = children_cnt.get(dis);
+            if(count == 0){
+                pushDiag.add(dis);
+            }else if(count == 1){
+                List<Object> key = this.getKey(diagClassifyCache, dis);
+                for (String diss:second) {
+                    Integer c2 = children_cnt.get(diss);
+                    if(key.contains(diss)){
+                        if(c2 == 0){
+                            pushDiag.add(diss);
+                        }else if(c2 == 1){
+                            List<Object> key1 = this.getKey(diagClassifyCache, diss);
+                            for (String disss:third) {
+                                if(key1.contains(disss)){
+                                    pushDiag.add(disss);
+                                }
+                            }
+                        }else if(c2 >1){
+                            pushDiag.add(diss);
+                        }
+                    }
+
+                }
+            }else if(count >1){
+                pushDiag.add(dis);
+            }
+
+        }
+        pushDiag.addAll(other); //归一后的
+
+        Set<String> finalList = new LinkedHashSet<>();
+        if(sign == 0){
+            finalList.addAll(pushDiag);
+        }else if(sign == 1){
+            for (String dis:disList) {
+                int i = pushDiag.indexOf(dis);
+                if(i >= 0){
+                    finalList.add(dis);
+
+                }else {
+                    List<Object> testList= new ArrayList<>();
+                    String s = diagClassifyCache.get(dis);
+                    if(StringUtils.isNotEmpty(s)){
+                        testList.add(s);
+                    }
+                    List<Object> key = this.getKey(diagClassifyCache, dis);
+                    boolean b = testList.addAll(key);
+                    for (Object dis1:testList) {
+                        if(pushDiag.indexOf(dis1)>=0){
+                            finalList.add(dis1.toString());
+
+                        }
+                    }
+                }
+            }
+        }
+
+        return finalList;
+
+    }
+
+    /**
+     * 根据rate排序
+     * @param diss 大数据可能诊断列表
+     * @param updates 所有推送的诊断
+     * @return 排好序并且归一的可能诊断列表
+     */
+    public List<FeatureRate> sortFeatureList(List<String> diss,List<FeatureRate> updates){
+        DecimalFormat df = new DecimalFormat("0.####");
+       List<FeatureRate> sortFeatures = new LinkedList<>();
+        Set<String> strings = this.diagProcess(diss,1);
+
+        Map<String,Double> disRate = new HashMap<>();
+        //归一确诊
+        if(diss!= null &&diss.size()>0){
+            //归一后的确诊（图谱出来的）
+
+            if(strings != null && strings.size()>0){
+                for (String queDis:strings) {
+                    List<Object> testCollect = new ArrayList<>();
+//                    FeatureRate feature = classifyDiag.getFeature(inintFeature, queDis);
+                    //如果能找到就把相关联的rate加起来
+                    testCollect.add(queDis);
+
+                    String s = null;
+                    s= diagClassifyCache.get(queDis);
+                    if(s != null){
+                        testCollect.add(s);
+                        s = diagClassifyCache.get(s);
+                        if(s != null){
+                            testCollect.add(s);
+                        }
+                    }
+                    List<Object> key =null;
+                    key = this.getKey(diagClassifyCache, queDis);
+                    testCollect.addAll(key);
+                    if(key != null && key.size()>0){
+                        for (Object o:key) {
+                            key = this.getKey(diagClassifyCache,o.toString());
+                            if(key!= null){
+                                testCollect.addAll(key);
+                            }
+                        }
+                    }
+                    Double count = 0.0;
+                    for (String dis:diss) {
+                        if(testCollect.indexOf(dis) >= 0){
+                            FeatureRate feature1 = this.getFeature(updates, dis);
+                            String rate1 = feature1.getRate();
+                            count = count+Double.parseDouble(rate1);
+                        }
+                    }
+                    disRate.put(queDis,count);
+                }
+            }
+
+        }
+        //根据rate排序
+        List<Map.Entry<String,Double>> list = new ArrayList<>(disRate.entrySet());
+        Collections.sort(list, new Comparator<Map.Entry<String, Double>>() {
+            @Override
+            public int compare(Map.Entry<String, Double> o1, Map.Entry<String, Double> o2) {
+                return o2.getValue().compareTo(o1.getValue());
+            }
+        });
+        for (Map.Entry<String,Double> s:list) {
+            System.out.println(s.getKey()+"\t"+s.getValue());
+            FeatureRate featureRate = new FeatureRate();
+            featureRate.setRate(df.format(s.getValue()));
+            featureRate.setFeatureName(s.getKey());
+            featureRate.setExtraProperty(diagDepartCache.get(s.getKey()));
+            sortFeatures.add(featureRate);
+        }
+
+        return sortFeatures;
+    }
+
+    /**
+     * 根据诊断名找到这个feature
+     * @param updateFeatures
+     * @param disName
+     * @return
+     */
+    public FeatureRate getFeature(List<FeatureRate> updateFeatures,String disName){
+        FeatureRate f = new FeatureRate();
+        for (FeatureRate fe:updateFeatures){
+            if(disName.equals(fe.getFeatureName())){
+                f = fe;
+            }
+        }
+        return f;
+    }
+
+    /**
+     * dis找大类
+     * @param inputs
+     * @return
+     */
+    public List<String> getDisList(List<String> inputs){
+        List<String> newDiagList = new ArrayList<>();
+        if(inputs!= null && inputs.size()>0){
+            for (String dis:inputs) {
+                String s = diagClassifyCache.get(dis);
+                if(StringUtils.isNotEmpty(s)){
+                    newDiagList.add(s);
+                }else {
+                    newDiagList.add(dis);
+                }
+
+            }
+        }
+        return newDiagList;
+    }
+
+    /**
+     * 统计列表中每个字符出现的次数
+     * @param inputs 输入列表
+     * @return
+     */
+    public Map<String,Integer> fildCount(List<String> inputs){
+        Map<String,Integer> map = new HashMap<>();
+        for (String dis:inputs) {
+            Integer count = map.get(dis);
+            map.put(dis,(count == null)?1:count+1);
+        }
+        return map;
+    }
+
+    public List<Object>  getKey(Map map, Object value){
+        Set set = map.entrySet(); //通过entrySet()方法把map中的每个键值对变成对应成Set集合中的一个对象
+        Iterator<Map.Entry<Object, Object>> iterator = set.iterator();
+        List<Object> arrayList = new ArrayList();
+        while(iterator.hasNext()){
+            //Map.Entry是一种类型，指向map中的一个键值对组成的对象
+            Map.Entry<Object, Object> entry = iterator.next();
+            if(entry.getValue().equals(value)){
+                arrayList.add(entry.getKey());
+            }
+        }
+        return arrayList;
+    }
+
+}

common-push/src/main/java/org/diagbot/common/push/filter/PreResult.java

@@ -0,0 +1,79 @@
+package org.diagbot.common.push.filter;
+
+/**
+ * Created by louhr on 2019/8/31.
+ */
+public class PreResult {
+    private String detailName;
+    private String uniqueName;
+    private Double maxValue;
+    private Double minValue;
+    private String name;
+    private String otherValue;
+    private String units;
+    private Double value;
+
+    public String getDetailName() {
+        return detailName;
+    }
+
+    public void setDetailName(String detailName) {
+        this.detailName = detailName;
+    }
+
+    public String getUniqueName() {
+        return uniqueName;
+    }
+
+    public void setUniqueName(String uniqueName) {
+        this.uniqueName = uniqueName;
+    }
+
+    public Double getMaxValue() {
+        return maxValue;
+    }
+
+    public void setMaxValue(Double maxValue) {
+        this.maxValue = maxValue;
+    }
+
+    public Double getMinValue() {
+        return minValue;
+    }
+
+    public void setMinValue(Double minValue) {
+        this.minValue = minValue;
+    }
+
+    public String getName() {
+        return name;
+    }
+
+    public void setName(String name) {
+        this.name = name;
+    }
+
+    public String getOtherValue() {
+        return otherValue;
+    }
+
+    public void setOtherValue(String otherValue) {
+        this.otherValue = otherValue;
+    }
+
+    public String getUnits() {
+        return units;
+    }
+
+    public void setUnits(String units) {
+        this.units = units;
+    }
+
+    public Double getValue() {
+        return value;
+    }
+
+    public void setValue(Double value) {
+        this.value = value;
+    }
+}

common-push/src/main/java/org/diagbot/common/push/filter/PretreatmentFilter.java

@@ -0,0 +1,45 @@
+package org.diagbot.common.push.filter;
+
+
+import org.diagbot.common.push.filter.pretreat.Pretreatment;
+import org.diagbot.common.push.filter.pretreat.PretreatmentSymptom;
+import org.diagbot.common.push.filter.pretreat.PretreatmentVital;
+import org.diagbot.common.work.SearchData;
+import org.springframework.util.StringUtils;
+
+import java.util.ArrayList;
+import java.util.List;
+
+public class PretreatmentFilter {
+    public void crisisFilter(SearchData searchData) throws java.io.IOException {
+        //将数值类型内容全部转换为标准术语  依据kl_rule提供规则
+
+        List<PreResult> allPreResultList = new ArrayList<>();
+        //症状数据
+        if (!StringUtils.isEmpty(searchData.getSymptom())) {
+            searchData.setSymptom(add2PreResultList(new PretreatmentSymptom(), searchData.getSymptom(), allPreResultList));
+        }
+        //体征数据
+        if (!StringUtils.isEmpty(searchData.getVital())) {
+            searchData.setVital(add2PreResultList(new PretreatmentVital(), searchData.getVital(), allPreResultList));
+        }
+        //lis文本非结构化数据
+        if (!StringUtils.isEmpty(searchData.getLis())) {
+            searchData.setLis(add2PreResultList(new PretreatmentVital(), searchData.getLis(), allPreResultList));
+        }
+        //pacs数据
+        if (!StringUtils.isEmpty(searchData.getPacs())) {
+            searchData.setPacs(add2PreResultList(new PretreatmentVital(), searchData.getPacs(), allPreResultList));
+        }
+    }
+
+    private String add2PreResultList(Pretreatment pretreatment, String content, List<PreResult> allPreResultList) throws java.io.IOException {
+        List<PreResult> preResultList = pretreatment.analyze(content);
+        if (preResultList != null) {
+            allPreResultList.addAll(preResultList);
+
+
+        }
+        return content;
+    }
+}

common-push/src/main/java/org/diagbot/common/push/filter/pretreat/Pretreatment.java

@@ -0,0 +1,88 @@
+package org.diagbot.common.push.filter.pretreat;
+
+import org.diagbot.common.push.filter.PreResult;
+import org.diagbot.nlp.participle.ParticipleUtil;
+import org.diagbot.nlp.participle.word.Lexeme;
+import org.diagbot.nlp.participle.word.LexemePath;
+import org.diagbot.nlp.util.NegativeEnum;
+import org.diagbot.nlp.util.NlpUtil;
+import org.springframework.util.StringUtils;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Created by louhr on 2019/8/31.
+ */
+public abstract class Pretreatment {
+    protected NegativeEnum[] nees_time_and_unit = new NegativeEnum[]{NegativeEnum.EVENT_TIME, NegativeEnum.UNIT};
+
+    protected int cursor = 0;
+
+    public abstract List<PreResult> analyze(String content) throws java.io.IOException;
+
+    abstract PreResult createPreResult(LexemePath<Lexeme> lexemes, Lexeme lexeme, int index);
+
+    protected List<PreResult> analyzeDefault(String content) throws java.io.IOException{
+        LexemePath<Lexeme> lexemes = ParticipleUtil.participle(content);
+
+        List<PreResult> preResultList = new ArrayList<>();
+        for (int i = 0; i < lexemes.size(); i++) {
+            Lexeme l = lexemes.get(i);
+            if (NlpUtil.isFeature(l.getProperty(), nees_time_and_unit)) {
+                PreResult result = data2Object(lexemes, l, i, l.getProperty());
+                if (result != null) {
+                    preResultList.add(result);
+                }
+            }
+        }
+        return preResultList;
+    }
+
+    protected PreResult data2Object(LexemePath<Lexeme> lexemes, Lexeme lexeme, int index, String property) {
+        if (index < 2) {
+            return null;
+        }
+        return createPreResult(lexemes, lexeme, index);
+    }
+
+    public PreResult createDefaultPreResult(LexemePath<Lexeme> lexemes, Lexeme lexeme, int index) {
+        double value = findNumberValue(lexemes, lexeme, index);
+        if (value == -1) return null;
+        //继续往前找本体
+        String text = findBodyValue(lexemes, lexeme, index);
+        if (StringUtils.isEmpty(text)) {
+            return null;
+        }
+        PreResult result = new PreResult();
+        result.setValue(value);
+        result.setUnits(lexeme.getText());
+        result.setDetailName(text);
+        return result;
+    }
+
+    protected double findNumberValue(LexemePath<Lexeme> lexemes, Lexeme lexeme, int index) {
+        if (index < 1) return -1;
+        cursor = index - 1;
+        Lexeme leftLexeme = lexemes.get(cursor);
+        if ("×".equals(leftLexeme.getText())) {
+            if  (cursor <= 0) return -1;
+            cursor--;
+            leftLexeme = lexemes.get(cursor);
+        }
+        if (NlpUtil.isNumberString(leftLexeme)) {
+            return NlpUtil.numberText2value(leftLexeme);
+        }
+        return -1;
+    }
+
+    protected String findBodyValue(LexemePath<Lexeme> lexemes, Lexeme lexeme, int index) {
+        if (cursor > 0) cursor--;
+        Lexeme leftLexeme = lexemes.get(cursor);
+        if (NlpUtil.isFeature(leftLexeme.getProperty(), new NegativeEnum[]{NegativeEnum.VITAL_INDEX,
+                NegativeEnum.VITAL_INDEX_VALUE, NegativeEnum.VITAL_RESULT, NegativeEnum.SYMPTOM})) {
+            return leftLexeme.getText();
+        }
+        return null;
+    }
+}

common-push/src/main/java/org/diagbot/common/push/filter/pretreat/PretreatmentLis.java

@@ -0,0 +1,41 @@
+package org.diagbot.common.push.filter.pretreat;
+
+import org.diagbot.common.push.filter.PreResult;
+import org.diagbot.nlp.participle.word.Lexeme;
+import org.diagbot.nlp.participle.word.LexemePath;
+import org.diagbot.nlp.util.NegativeEnum;
+import org.diagbot.nlp.util.NlpUtil;
+import org.springframework.util.StringUtils;
+
+import java.util.List;
+
+public class PretreatmentLis extends Pretreatment {
+    public List<PreResult> analyze(String content) throws java.io.IOException{
+        return super.analyzeDefault(content);
+    }
+
+    public PreResult createPreResult(LexemePath<Lexeme> lexemes, Lexeme lexeme, int index) {
+        PreResult result = new PreResult();
+        double value = findNumberValue(lexemes, lexeme, index);
+        if (value == -1) return null;
+        //继续往前找化验明细项
+        if (cursor > 0) cursor--;
+        Lexeme leftLexeme = lexemes.get(cursor);
+        if (NlpUtil.isFeature(leftLexeme.getProperty(), new NegativeEnum[]{NegativeEnum.LIS_NAME})) {
+            result.setDetailName(leftLexeme.getText());
+        } else {
+            return null;
+        }
+        //查找化验套餐
+        int position = cursor - 1;
+        while (position > -1) {
+            leftLexeme = lexemes.get(position);
+            if (NlpUtil.isFeature(leftLexeme.getProperty(), new NegativeEnum[]{NegativeEnum.LIS_TYPE})) {
+                result.setName(leftLexeme.getText());
+                break;
+            }
+            position--;
+        }
+        return result;
+    }
+}

common-push/src/main/java/org/diagbot/common/push/filter/pretreat/PretreatmentSymptom.java

@@ -0,0 +1,17 @@
+package org.diagbot.common.push.filter.pretreat;
+
+import org.diagbot.common.push.filter.PreResult;
+import org.diagbot.nlp.participle.word.Lexeme;
+import org.diagbot.nlp.participle.word.LexemePath;
+
+import java.util.List;
+
+public class PretreatmentSymptom extends Pretreatment {
+    public List<PreResult> analyze(String content) throws java.io.IOException{
+        return super.analyzeDefault(content);
+    }
+
+    public PreResult createPreResult(LexemePath<Lexeme> lexemes, Lexeme lexeme, int index) {
+        return super.createDefaultPreResult(lexemes, lexeme, index);
+    }
+}

common-push/src/main/java/org/diagbot/common/push/filter/pretreat/PretreatmentVital.java

@@ -0,0 +1,17 @@
+package org.diagbot.common.push.filter.pretreat;
+
+import org.diagbot.common.push.filter.PreResult;
+import org.diagbot.nlp.participle.word.Lexeme;
+import org.diagbot.nlp.participle.word.LexemePath;
+
+import java.util.List;
+
+public class PretreatmentVital extends Pretreatment {
+    public List<PreResult> analyze(String content) throws java.io.IOException{
+        return super.analyzeDefault(content);
+    }
+
+    public PreResult createPreResult(LexemePath<Lexeme> lexemes, Lexeme lexeme, int index) {
+        return super.createDefaultPreResult(lexemes, lexeme, index);
+    }
+}

common-service/src/main/java/org/diagbot/common/javabean/MedicalIndication.java

@@ -7,6 +7,7 @@ import java.util.List;
  */
 public class MedicalIndication {
     private String name;
+    private String rule;
     private List<MedicalIndicationDetail> details;
 
     public String getName() {
@@ -17,6 +18,12 @@ public class MedicalIndication {
         this.name = name;
     }
 
+    public String getRule() {
+        return rule;
+    }
+
+    public void setRule(String rule) { this.rule = rule; }
+
     public List<MedicalIndicationDetail> getDetails() {
         return details;
     }
@@ -24,4 +31,5 @@ public class MedicalIndication {
     public void setDetails(List<MedicalIndicationDetail> details) {
         this.details = details;
     }
+
 }

common-service/src/main/java/org/diagbot/common/javabean/MedicalIndicationDetail.java

@@ -3,7 +3,7 @@ package org.diagbot.common.javabean;
 import com.alibaba.fastjson.JSONObject;
 
 public class MedicalIndicationDetail {
-    private Integer type;//1-量表,2-公式,3-其他指标
+    private Integer type;//1-量表,2-公式,3-其他指标,4-危急值
     private JSONObject content;
 
     public Integer getType() {

common-service/src/main/java/org/diagbot/common/javabean/Rule.java

@@ -0,0 +1,59 @@
+package org.diagbot.common.javabean;
+
+import lombok.Getter;
+import lombok.Setter;
+
+/**
+ * 触发规则
+ * @author Mark Huang
+ * @since 27/08/2019
+ */
+@Getter
+@Setter
+public class Rule {
+    // 套餐名称
+    private String set_name;
+    // 指标名称
+    private String idx_name;
+    // 最小值操作符
+    private String min_operator;
+    // 最小值
+    private String min_value;
+    // 最小值单位
+    private String min_unit;
+    // 最大值操作符
+    private String max_operator;
+    // 最大值
+    private String max_value;
+    // 最大值单位
+    private String max_unit;
+    // 相等操作符
+    private String eq_operator;
+    // 等于值
+    private String eq_value;
+    // 等于值单位
+    private String eq_unit;
+    // 推送名称
+    private String remind;
+
+    public Rule() { }
+
+    public Rule(String[] elements) {
+//        Rule rule = new Rule();
+
+        if (elements.length == 12) {
+            this.set_name = (null == elements[0])?"":elements[0];
+            this.idx_name = (null == elements[1])?"":elements[1];
+            this.min_operator = (null == elements[2])?"":elements[2];
+            this.min_value = (null == elements[3])?"":elements[3];
+            this.min_unit = (null == elements[4])?"":elements[4];
+            this.max_operator = (null == elements[5])?"":elements[5];
+            this.max_value = (null == elements[6])?"":elements[6];
+            this.max_unit = (null == elements[7])?"":elements[7];
+            this.eq_operator = (null == elements[8])?"":elements[8];
+            this.eq_value = (null == elements[9])?"":elements[9];
+            this.eq_unit = (null == elements[10])?"":elements[10];
+            this.remind = (null == elements[11])?"":elements[11];
+        }
+    }
+}

common-service/src/main/java/org/diagbot/common/work/FeatureRate.java

@@ -8,6 +8,7 @@ public class FeatureRate {
     private String extraProperty;
     private String desc;
     private String rate;
+    private String source;
 
     public String getFeatureName() {
         return featureName;
@@ -40,4 +41,12 @@ public class FeatureRate {
     public void setDesc(String desc) {
         this.desc = desc;
     }
+
+    public String getSource() {
+        return source;
+    }
+
+    public void setSource(String source) {
+        this.source = source;
+    }
 }

common-service/src/main/java/org/diagbot/common/work/ResponseData.java

@@ -21,12 +21,15 @@ public class ResponseData {
     private List<FeatureRate> pacs = new ArrayList<>(10);
     private List<FeatureRate> history = new ArrayList<>(10);
 
+    private List<FeatureRate> beforeCombineDis = new ArrayList<>(10);
+
     private Map<String, Filnlly> treat = new HashMap<>();
     private List<FeatureRate> graphWords = new ArrayList<>(10);
     private List<MedicalIndication> medicalIndications;//量表和指标推送
 //    private Map<String,JSONObject> managementEvaluation; //管理评估
     private Map managementEvaluation;
     private List<String> diffDiag;//鉴别诊断
+    private List<String> excludeDiag; //排除诊断
 
     public List<String> getDiffDiag() {
         return diffDiag;
@@ -36,6 +39,14 @@ public class ResponseData {
         this.diffDiag = diffDiag;
     }
 
+    public List<String> getExcludeDiag() {
+        return excludeDiag;
+    }
+
+    public void setExcludeDiag(List<String> excludeDiag) {
+        this.excludeDiag = excludeDiag;
+    }
+
     public Map getManagementEvaluation() {
         return managementEvaluation;
     }
@@ -141,4 +152,12 @@ public class ResponseData {
     public void setHistory(List<FeatureRate> history) {
         this.history = history;
     }
+
+    public List<FeatureRate> getBeforeCombineDis() {
+        return beforeCombineDis;
+    }
+
+    public void setBeforeCombineDis(List<FeatureRate> beforeCombineDis) {
+        this.beforeCombineDis = beforeCombineDis;
+    }
 }

common-service/src/main/java/org/diagbot/common/work/SearchData.java

@@ -32,6 +32,12 @@ public class SearchData {
     protected String diag = "";
     protected String past = "";
     protected String other = "";
+    //当前开单lis项目
+    protected String lisOrder = "";
+    //当前开单pacs项目
+    protected String pacsOrder = "";
+    //当前开单其他 预留
+    protected String otherOrder = "";
     //大数据推送诊断结果信息
     protected List<FeatureRate> pushDiags = new ArrayList<>();
 
@@ -262,4 +268,28 @@ public class SearchData {
     public void setGraphInputs(Map<String, Map<String, String>> graphInputs) {
         this.graphInputs = graphInputs;
     }
+
+    public String getLisOrder() {
+        return lisOrder;
+    }
+
+    public void setLisOrder(String lisOrder) {
+        this.lisOrder = lisOrder;
+    }
+
+    public String getPacsOrder() {
+        return pacsOrder;
+    }
+
+    public void setPacsOrder(String pacsOrder) {
+        this.pacsOrder = pacsOrder;
+    }
+
+    public String getOtherOrder() {
+        return otherOrder;
+    }
+
+    public void setOtherOrder(String otherOrder) {
+        this.otherOrder = otherOrder;
+    }
 }

graph-web/src/main/java/org/diagbot/graphWeb/controller/GraphController.java

@@ -10,6 +10,7 @@ import org.diagbot.graphWeb.work.GraphCalculate;
 import org.diagbot.graphWeb.work.HighRiskCalculate;
 import org.diagbot.common.work.ResponseData;
 import org.diagbot.common.work.SearchData;
+import org.diagbot.graphWeb.work.LisPacsCalculate;
 import org.diagbot.pub.api.Response;
 import org.diagbot.pub.utils.PropertiesUtil;
 import org.springframework.stereotype.Controller;
@@ -48,8 +49,10 @@ public class GraphController {
     @ResponseBody
     public Response<ResponseData> lisPacsData(HttpServletRequest request, @RequestBody SearchData searchData) throws Exception {
         Response<ResponseData> response = new Response();
-        GraphCalculate graphCalculate = new GraphCalculate();
-        ResponseData responseData = graphCalculate.getLisPacs(request, searchData);
+        LisPacsCalculate lisPacsCalculate = new LisPacsCalculate();
+        ResponseData responseData = lisPacsCalculate.getLisPacs(request, searchData);
+//        GraphCalculate graphCalculate = new GraphCalculate();
+//        ResponseData responseData = graphCalculate.getLisPacs(request, searchData);
         response.setData(responseData);
         return response;
     }

graph-web/src/main/java/org/diagbot/graphWeb/work/DiseaseCalculate.java

@@ -43,10 +43,10 @@ public class DiseaseCalculate {
         responseData.setMedicalIndications(medicalIndications);
 
         //走管理评估
-        Map managementEvaluation = diseaseResponse.getManagementEvaluation();
-        Map test = this.getMan(managementEvaluation);
-
-        responseData.setManagementEvaluation(test);
+//        Map managementEvaluation = diseaseResponse.getManagementEvaluation();
+//        Map test = this.getMan(managementEvaluation);
+//
+//        responseData.setManagementEvaluation(test);
         responseData.setTreat(treat);
         responseData.setDis(diseaseName);
         return responseData;
@@ -115,6 +115,9 @@ public class DiseaseCalculate {
                                 newMedicitionsList.add(newMedication);
                             }
                         }
+                        if(bigdrugsName.equals(subdrugsName)){
+                            subdrugsName = "";
+                        }
                         drugs.setBigdrugsName(bigdrugsName);
                         drugs.setSubdrugsName(subdrugsName);
                         drugs.setDrugsForbidden(drugsForbidden);

graph-web/src/main/java/org/diagbot/graphWeb/work/FilterSortDiag.java

@@ -0,0 +1,76 @@
+package org.diagbot.graphWeb.work;
+
+import org.apache.commons.lang3.StringUtils;
+import org.diagbot.common.work.FeatureRate;
+import org.diagbot.common.work.ResponseData;
+import org.diagbot.graph.jdbc.Neo4jAPI;
+import org.diagbot.graph.util.CacheUtil;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.*;
+
+/**
+ * 诊断的过滤和排序
+ */
+public class FilterSortDiag {
+    Logger logger = LoggerFactory.getLogger(FilterSortDiag.class);
+
+    /**
+     * 过滤诊断
+     */
+    public List<FeatureRate> filterDiag(ResponseData graphResponseData, List<FeatureRate> graphFeatureRates) throws Exception {
+        List<String> removeDiagList = graphResponseData.getExcludeDiag();
+        //将需要排除的诊断从列表中删除
+        List<FeatureRate> updateFeatureRates = new ArrayList<>();
+        for (int j = 0; j < graphFeatureRates.size(); j++) {
+            if (removeDiagList.indexOf(graphFeatureRates.get(j).getFeatureName()) == -1) {
+                updateFeatureRates.add(graphFeatureRates.get(j));
+            }
+        }
+        return updateFeatureRates;
+    }
+
+    public List<FeatureRate> sortDiag(List<FeatureRate> updateFeatureRates){
+        Map<String, String> diagSortCache = CacheUtil.getDiagSortCache();
+        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(featureName);
+                        }
+                    }else {
+                        bigDataIDiagList.add(featureName);
+                    }
+                }
+            }
+        }
+        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;
+    }
+}

graph-web/src/main/java/org/diagbot/graphWeb/work/GraphCalculate.java

@@ -25,6 +25,7 @@ import org.slf4j.LoggerFactory;
 
 public class GraphCalculate {
     Logger logger = LoggerFactory.getLogger(GraphCalculate.class);
+    private static Neo4jAPI neo4jAPI ;
 
     /**
      * 返回诊断和治疗
@@ -35,6 +36,10 @@ public class GraphCalculate {
      * @throws Exception
      */
     public ResponseData calculate(HttpServletRequest request, SearchData searchData) throws Exception {
+
+        long starttime = System.currentTimeMillis();
+        System.out.println("Start at: " + starttime);
+
         ResponseData responseData = new ResponseData();
 //        ParamsDataProxy paramsDataProxy = new ParamsDataProxy();
 //        paramsDataProxy.createSearchData(request, searchData);
@@ -42,8 +47,7 @@ public class GraphCalculate {
         int age = searchData.getAge();
         String sex = searchData.getSex();
         logger.info("前端传来的年龄为 :"+age+" 前端传来的性别为 :"+sex);
-        //获取缓存
-        Map<String, String> lexionCache = CacheUtil.getLexionCache();
+
         Map<String, Map<String, String>> sexAgeCache = CacheUtil.getSexAgeCache();
         Map<String, Map<String, String>> inputs = searchData.getGraphInputs();
         Set<String> ss = new HashSet<>();
@@ -58,19 +62,28 @@ public class GraphCalculate {
             }
         }
         logger.info("从分词系统接收到的词 :" + ss);
-        String[] featureTypes = searchData.getFeatureType().split(",");
-        List<String> featureTypeList = Arrays.asList(featureTypes);
+        System.out.println("Participle takes: " + (System.currentTimeMillis()-starttime)/1000d + 's');
+
+        List<String> featureTypeList = Arrays.asList(searchData.getFeatureTypes());
         logger.info("featureTypeList : " + featureTypeList);
         inputList.addAll(ss);
-        Neo4jAPI neo4jAPI = new Neo4jAPI(DriverManager.newDrive());
+        if(neo4jAPI == null){
+            neo4jAPI = new Neo4jAPI(DriverManager.newDrive());
+        }
         logger.info("图谱开始推送诊断!!!!!!!!!!!");
         String webDiag = searchData.getDiag();
         logger.info("页面诊断为 :"+webDiag);
         //计算诊断
         Map<String, Map<String,String>> condition =null;
+        Map<String, Map<String, String>> excludelist = null;
         if(featureTypeList.contains("2")){
             condition = neo4jAPI.getNewCondition((String[]) inputList.toArray(new String[inputList.size()]),webDiag );
+
+            // 查找需要排除的诊断
+            excludelist = neo4jAPI.getExcludeDiag(inputList);
+            responseData.setExcludeDiag(Arrays.asList(excludelist.keySet().stream().toArray(String[]::new)));
         }
+
         List<FeatureRate> featureRates = new ArrayList<>();
         if(condition != null){
             for (Map.Entry<String, Map<String,String>> d : condition.entrySet()) {
@@ -85,11 +98,11 @@ public class GraphCalculate {
                         if(min_age <age && age<=max_age){
                             FeatureRate featureRate = new FeatureRate();
                             featureRate.setFeatureName(dis);
-                            featureRate.setExtraProperty("");
                             Map<String, String> value = d.getValue();
                             String s = JSON.toJSONString(value);
                             featureRate.setDesc(s);
-                            featureRate.setRate("neo4j");
+//                            featureRate.setRate("neo4j");
+                            featureRate.setSource("neo4j");
                             featureRates.add(featureRate);
                         }
 
@@ -138,22 +151,78 @@ public class GraphCalculate {
                 responseData.setManagementEvaluation(mangementEvaluation1);
             }
         }
-
+        String pacsOrder = searchData.getPacsOrder();
         //指标推送
         if (featureTypeList.contains("22") ) {
+            List<MedicalIndication> pacsMi = getPacsMi(pacsOrder, inputList,webDiag);
             //查找指标
             Set<String> indSet = neo4jAPI.getInd((String[]) inputList.toArray(new String[inputList.size()]));
             logger.info("featureTypeList 包含22,走指标推送!!!,图谱推出的指标为:" + indSet);
-            List<MedicalIndication> idn = neo4jAPI.getIdn(indSet, age, sex);
-            responseData.setMedicalIndications(idn);
+            if(indSet.contains("肾功能不全")){
+                List<MedicalIndication> idn = neo4jAPI.getIdn(indSet, age, sex);
+                pacsMi.addAll(idn);
+                responseData.setMedicalIndications(pacsMi);
+            }
+            responseData.setMedicalIndications(pacsMi);
 
         }
+
         //诊断推送
         responseData.setDis(featureRates);
         responseData.setInputs(searchData.getInputs());
+
+        System.out.println("Total takes: " + (System.currentTimeMillis()-starttime)/1000d + 's');
         return responseData;
     }
+    public List<MedicalIndication> getPacsMi(String pacsOrder,List<String> inputList,String webDiag){
+        if(StringUtils.isNotEmpty(webDiag)){
+            String[] webDiagsplits = webDiag.split(",|，|、|;|:|；");
+            for (String wd:webDiagsplits
+                 ) {
+                inputList.add(wd);
+            }
+        }
+
+        List<MedicalIndication> pacsMi = new ArrayList<>();
+        Map<String, String> newInd = neo4jAPI.getNewInd((String[]) inputList.toArray(new String[inputList.size()]));
+        if(StringUtils.isNotEmpty(pacsOrder)){
+            String[] pacsOrders = pacsOrder.split(",|，");
+            for (String pacs:pacsOrders) {
+                if(newInd.containsKey(pacs)){
+                    String causes = newInd.get(pacs);
+                    MedicalIndication m = new MedicalIndication();
+                    List<MedicalIndicationDetail> mds = new ArrayList<>();
+                    MedicalIndicationDetail medicalIndicationDetail = new MedicalIndicationDetail();
+                    medicalIndicationDetail.setType(4);
+                    JSONObject jsonObject = new JSONObject();
+                    jsonObject.put("name", causes);
+                    jsonObject.put("controlType",2);
+                    medicalIndicationDetail.setContent(jsonObject);
+                    mds.add(medicalIndicationDetail);
+                    m.setName("不建议做："+pacs);
+                    m.setDetails(mds);
+                    pacsMi.add(m);
+                }
+            }
+        }
+        return pacsMi;
+    }
+//    诊断过滤
+    public void filterDis(List<FeatureRate> graphFeatureRates,String sex,Integer age) throws Exception {
+        if(neo4jAPI == null){
+            neo4jAPI = new Neo4jAPI(DriverManager.newDrive());
+        }
+        List<String> disList = new ArrayList<>();
+        if(graphFeatureRates != null && graphFeatureRates.size()>0){
+            for (FeatureRate f:graphFeatureRates) {
+                disList.add("\""+f.getFeatureName()+"\"");
+            }
+        }
+//        第一步先过滤性别和年龄
+        Set<String> filterSexAgeList = neo4jAPI.filterDisFromSexAge(disList,sex,age);
+
 
+    }
     /**
      * 返回LIS,PACS
      *

graph-web/src/main/java/org/diagbot/graphWeb/work/LisPacsCalculate.java

@@ -8,6 +8,8 @@ import org.diagbot.pub.utils.PropertiesUtil;
 import org.diagbot.pub.utils.http.HttpApi;
 
 import javax.servlet.http.HttpServletRequest;
+import java.util.ArrayList;
+import java.util.LinkedHashMap;
 import java.util.List;
 import java.util.Map;
 
@@ -24,7 +26,17 @@ public class LisPacsCalculate {
         Map data = (Map<String, Map>)lisPacsResponse.getData();
         responseData.setLabs((List)data.get("labs"));
         responseData.setPacs((List)data.get("pacs"));
-
+        List<FeatureRate> vitalFeature = new ArrayList<>();
+        List<LinkedHashMap> vitals =(List) data.get("vitals");
+        if(vitals != null){
+            for (LinkedHashMap v:vitals) {
+                String featureName = v.get("featureName").toString();
+                FeatureRate featureRate = new FeatureRate();
+                featureRate.setFeatureName(featureName);
+                vitalFeature.add(featureRate);
+            }
+        }
+        responseData.setVitals(vitalFeature);
         return responseData;
     }
 }

graph-web/src/main/resources/application.yml

@@ -11,25 +11,25 @@ spring:
       force: true
       charset: UTF-8
       enabled: true
-#  datasource:       # mybatis 配置，使用druid数据源
-#    url: jdbc:mysql://192.168.2.235:3306/graph-web?useUnicode=true&characterEncoding=UTF-8
-#    username: root
-#    password: diagbot@20180822
-#    type: com.alibaba.druid.pool.DruidDataSource
-#    driver-class-name: com.mysql.jdbc.Driver
-#    filters: stat
-#    maxActive: 20
-#    initialSize: 1
-#    maxWait: 60000
-#    minIdle: 1
-#    timeBetweenEvictionRunsMillis: 60000
-#    minEvictableIdleTimeMillis: 300000
-#    validationQuery: select 'x'
-#    testWhileIdle: true
-#    testOnBorrow: false
-#    testOnReturn: false
-#    poolPreparedStatements: true
-#    maxOpenPreparedStatements: 20
+  datasource:       # mybatis 配置，使用druid数据源
+    url: jdbc:mysql://1.1.1.1:3306/graph-web?useUnicode=true&characterEncoding=UTF-8
+    username: root
+    password: diagbot@20180822
+    type: com.alibaba.druid.pool.DruidDataSource
+    driver-class-name: com.mysql.jdbc.Driver
+    filters: stat
+    maxActive: 20
+    initialSize: 1
+    maxWait: 60000
+    minIdle: 1
+    timeBetweenEvictionRunsMillis: 60000
+    minEvictableIdleTimeMillis: 300000
+    validationQuery: select 'x'
+    testWhileIdle: true
+    testOnBorrow: false
+    testOnReturn: false
+    poolPreparedStatements: true
+    maxOpenPreparedStatements: 20
 
 logging:          # 日志
   level.root: info

graph/src/main/java/org/diagbot/graph/jdbc/DriverManager.java

@@ -21,7 +21,7 @@ public class DriverManager {
     public static Driver newDrive() throws Exception {
         //            driver = GraphDatabase.driver("bolt://192.168.3.112:7687", AuthTokens.basic("neo4j", "123456"),
         if( driver == null){
-            driver = GraphDatabase.driver(propertiesUtil.getProperty("bolt232.uri"), AuthTokens.basic(propertiesUtil.getProperty("bolt232.user"), propertiesUtil.getProperty("bolt232.passwd")),
+            driver = GraphDatabase.driver(propertiesUtil.getProperty("bolt.uri"), AuthTokens.basic(propertiesUtil.getProperty("bolt.user"), propertiesUtil.getProperty("bolt.passwd")),
                     Config.build().withMaxConnectionLifetime(ConnLifeTime, TimeUnit.MINUTES)
                             .withMaxTransactionRetryTime(TransRetryTime, TimeUnit.SECONDS)
                             .withMaxConnectionPoolSize(ConnPoolSize)

graph/src/main/java/org/diagbot/graph/jdbc/Neo4jAPI.java

@@ -9,6 +9,7 @@ import org.assertj.core.util.Lists;
 import org.diagbot.common.javabean.*;
 import org.diagbot.common.work.*;
 import org.diagbot.pub.utils.PropertiesUtil;
+import org.neo4j.driver.internal.value.NodeValue;
 import org.neo4j.driver.v1.*;
 import org.neo4j.driver.v1.types.Node;
 import org.neo4j.driver.v1.types.Path;
@@ -793,6 +794,8 @@ public class Neo4jAPI {
      */
     public Map<String, Map<String, String>> getNewCondition(String[] keys, String webDiag) {
         Map<String, Map<String, String>> diseaseCondition = new LinkedHashMap<>();
+        Map<String, Map<String, String>> diseaseCondition1 = new LinkedHashMap<>(16, 0.75f, true);
+        Map<String,Map<String,String>> neoPushMap = new HashMap<>();
         List<String> newList = new ArrayList<>();
         List<String> fildList = new ArrayList<>();
         List<String> startList = new ArrayList<>();
@@ -833,6 +836,7 @@ public class Neo4jAPI {
 
                 }
             }
+            String que="";
             //第三步查找确诊
             query = propertiesUtil.getProperty("searchDis").replace("startList", startList.toString());
             logger.info("查询确诊的语句 \n" + query);
@@ -841,17 +845,111 @@ public class Neo4jAPI {
                 Record record = result.next();
                 String quezhenName = record.get("name").toString().replace("\"", "");
                 String conditionType = record.get("relationType").toString().replace("\"", "");
-                if ("确诊".equals(conditionType)) {
-                    quezhen.add(quezhenName);
-                } else if ("拟诊".equals(conditionType)) {
-                    quezhen.add(quezhenName);
+                /*if("拟诊".equals(conditionType) || "确诊".equals(conditionType)){
+                    que = "确诊";
+                }else {
+                    que = conditionType;
+                }*/
+                que = conditionType;
+                Map<String, String> queMap = neoPushMap.get(quezhenName);
+                if(queMap != null && queMap.size()>0){
+                    if(queMap.keySet().contains("拟诊") && "确诊".equals(que) ){
+                        queMap.remove("拟诊");
+                        queMap.put("确诊","");
+                        neoPushMap.put(quezhenName,queMap);
+                    }else if(que.equals("警惕")){
+                        queMap.put("警惕","");
+                        neoPushMap.put(quezhenName,queMap);
+                    } else if(que.equals("拟诊")){
+                        queMap.put("拟诊","");
+                        neoPushMap.put(quezhenName,queMap);
+                    }
+                }else {
+                    Map<String,String> newMap = new HashMap<>();
+                    newMap.put(que,"");
+                    neoPushMap.put(quezhenName,newMap);
+                }
+               /* if(queMap != null){
+                    queMap.put(que, "");
+                    neoPushMap.put(quezhenName,queMap);
+                }else {
+                    Map<String,String> newMap = new HashMap<>();
+                    newMap.put(que,"");
+                    neoPushMap.put(quezhenName,newMap);
+                }*/
+            }
+            Map<String,Map<String,String>> queHighMap = new HashMap<>();
+            Map<String,Map<String,String>> highMap = new HashMap<>();
+            Map<String,Map<String,String>> quezhenMap = new HashMap<>();
+            for (Map.Entry<String,Map<String,String>> l:neoPushMap.entrySet()) {
+                String dis = l.getKey();
+                Set<String> typeSet = l.getValue().keySet();
+                Map<String,String> con = new HashMap<>();
+                /*if(typeSet.size() == 2 && typeSet.contains("确诊") && typeSet.contains("警惕")){
+                    queHighMap.put(dis,new HashMap<>());
+                }
+                if(typeSet.size() == 1 && typeSet.contains("确诊")){
+                    quezhenMap.put(dis,new HashMap<>());
+                }
+                if(typeSet.size() == 1 && typeSet.contains("警惕")){
+                    highMap.put(dis,new HashMap<>());
+                }*/
+                if(typeSet.size() == 2){
+                    for (String type:typeSet) {
+                        con.put(type,"");
+                    }
+                    queHighMap.put(dis,con);
+                }
+                if(typeSet.size() == 1 && (typeSet.contains("确诊") || typeSet.contains("拟诊"))){
+                    for (String type:typeSet) {
+                        con.put(type,"");
+                    }
+                    quezhenMap.put(dis,con);
+                }
+                if(typeSet.size() == 1 && typeSet.contains("警惕")){
+                    for (String type:typeSet) {
+                        con.put(type,"");
+                    }
+                    highMap.put(dis,con);
                 }
             }
-            for (String qu : quezhen) {
-                Map<String, String> dis_res = new HashMap<>();
-                dis_res.put("确诊", "");
-                diseaseCondition.put(qu, dis_res);
-                logger.info("图谱推出的诊断为: " + qu);
+            if(queHighMap != null && queHighMap.size()>0){
+                Set<String> queHighSet = queHighMap.keySet();
+                for (String dis:queHighSet) {
+                    Map<String,String> k = new HashMap<>();
+                    k.put("确诊","");
+                    k.put("警惕","");
+//                    diseaseCondition.put(dis,k);
+                    diseaseCondition.put(dis,queHighMap.get(dis));
+                }
+                if(quezhenMap != null && quezhenMap.size()>0){
+                    Set<String> queDis = quezhenMap.keySet();
+                    for (String dis:queDis) {
+                        Map<String,String> k = new HashMap<>();
+                        k.put("确诊","");
+//                        diseaseCondition.put(dis,k);
+                        diseaseCondition.put(dis,quezhenMap.get(dis));
+                    }
+                }
+            }else {
+                if(quezhenMap != null && quezhenMap.size()>0){
+                    Set<String> queDis = quezhenMap.keySet();
+                    for (String dis:queDis) {
+                        Map<String,String> k = new HashMap<>();
+                        k.put("确诊","");
+//                        diseaseCondition.put(dis,k);
+                        diseaseCondition.put(dis,quezhenMap.get(dis));
+                    }
+                }
+                if(highMap != null && highMap.size()>0){
+                    Set<String> highSet = highMap.keySet();
+                    for (String dis:highSet) {
+                        Map<String,String> k = new HashMap<>();
+                        k.put("警惕","");
+//                        diseaseCondition.put(dis,k);
+                        diseaseCondition.put(dis,highMap.get(dis));
+                    }
+                }
             }
             Set<String> queSets = diseaseCondition.keySet();
             if (webDiag != null && webDiag.trim() != "") {
@@ -878,29 +976,56 @@ public class Neo4jAPI {
                     }
                 }
             }
-            //判断急诊
-            Set<String> disSet = diseaseCondition.keySet();
             List<String> newDis = new ArrayList<>();
-            if(disSet.size()>0){
-                for (String dis:disSet) {
+            //判断急诊
+            for (Map.Entry<String, Map<String, String>> fs:diseaseCondition.entrySet()) {
+                String dis = fs.getKey();
+                Set<String> leiSet = fs.getValue().keySet();
+                if(leiSet.contains("确诊") || leiSet.contains("拟诊")){
                     newDis.add("\""+dis+"\"");
                 }
             }
             query =propertiesUtil.getProperty("searchEmergency").replace("disList",newDis.toString());
             logger.info("判断图谱推出的诊断中是否有急诊,判断语句为:\n"+query);
             result = session.run(query);
-            while (result.hasNext()) {
+                while (result.hasNext()) {
                 Record record = result.next();
                 String emDis = record.get("emDis").toString();
-                Map<String, String> stringStringMap = diseaseCondition.get(emDis.replace("\"", ""));
-                stringStringMap.put("急诊", "");
-                diseaseCondition.put(emDis.replace("\"", ""), stringStringMap);
+                int em = record.get("em").asInt();//急诊
+                Map<String, String> stringStringMap = neoPushMap.get(emDis.replace("\"", ""));
+                if(em == 1){
+                    stringStringMap.put("急诊", "");
+                }
+                    diseaseCondition.put(emDis.replace("\"", ""), stringStringMap);
+            }
+
+            Set<String> ll = new LinkedHashSet<>();
+            Set<String> kk = new LinkedHashSet<>();
+            for (Map.Entry<String,Map<String,String>> l:diseaseCondition.entrySet()) {
+                if(l.getValue().keySet().contains("确诊")){
+                    ll.add(l.getKey());
+                }else {
+                    kk.add(l.getKey());
+                }
+            }
+            ll.addAll(kk);
+            for (String dis:ll) {
+                Map<String, String> stringStringMap = diseaseCondition.get(dis);
+                for (Map.Entry<String,String>sd:stringStringMap.entrySet()) {
+                    if("拟诊".equals(sd.getKey())){
+                        stringStringMap.remove(sd.getKey());
+                        stringStringMap.put("确诊","");
+                        break;
+                    }
+                }
+
+                diseaseCondition1.put(dis,stringStringMap);
             }
         } catch (Exception e) {
             e.printStackTrace();
         } finally {
             CloseSession(session);
-            return diseaseCondition;
+            return diseaseCondition1;
         }
     }
 
@@ -1021,7 +1146,54 @@ public class Neo4jAPI {
         }
     }
 
-
+    /**
+     * 指标推送,检查预警
+     */
+    public Map<String,String> getNewInd(String[] keys) {
+        //查找指标推送
+        Map<String ,String> indMap = new HashMap<>();
+        List<String> fildList = new ArrayList<>();
+        for (String fild : keys) {
+            fildList.add("\"" + fild.trim() + "\"");
+        }
+        logger.info("根据 " + fildList + " 这些词推送指标!!!");
+        Session session = null;
+        StatementResult result = null;
+        String query = "";
+        try {
+            session = driver.session(AccessMode.WRITE);
+            //第一步查询输入的词所在number
+            query = "match(t:Temporary)-[r:属于]->(n:NewCondition)-[r1:诊断依据]->(n1:NewCondition)-[r2:拟诊]->(n2:NewIndicators) \n" +
+                    "where t.name in "+fildList+" return n2.name as name";
+            System.out.println(query);
+            result = session.run(query);
+            while (result.hasNext()) {
+                Record record = result.next();
+                String newIndName = record.get("name").toString();
+                StringBuffer s = new StringBuffer();
+                query = "match(n2:NewIndicators)-[r:表现]->(t:Temporary) where n2.name="+newIndName+" return collect(t.name) as names";
+                StatementResult sr = session.run(query);
+                while (sr.hasNext()){
+                    Record next = sr.next();
+                    List<Object> names = next.get("names").asList();
+                    if(names.size()>0){
+                        for (Object o:names) {
+
+                            if(fildList.indexOf("\""+o.toString()+"\"") >= 0){
+                                s.append(o.toString().replace("\"", ""));
+                            }
+                        }
+                    }
+                }
+                indMap.put(newIndName.replace("\"", ""),s.toString());
+            }
+        } catch (Exception e) {
+            e.printStackTrace();
+        } finally {
+            CloseSession(session);
+            return indMap;
+        }
+    }
     /**
      * 多疾病下治疗方案
      *
@@ -1353,7 +1525,11 @@ public class Neo4jAPI {
                             //                            Map<String, String> bigSubDrugs = new DrugsPattern().bigSubDrugs(drugsName);
                             Map<String, String> bigSubDrugs = drugsPattern.bigSubDrugs(drugsName);
                             drugs.setBigdrugsName(bigSubDrugs.get("big"));
-                            drugs.setSubdrugsName(bigSubDrugs.get("sub"));
+                            drugs.setSubdrugsName("");
+                            // 如果大类和小类相等，则不推小类
+                            if (!bigSubDrugs.get("sub").equals(drugs.getBigdrugsName())) {
+                                drugs.setSubdrugsName(bigSubDrugs.get("sub"));
+                            }
                             LinkedList<Medicition> medicitionsList = new LinkedList<>();
                             LinkedHashMap<String, String> meditionRate = w.getValue();
                             if ("忌用".equals(drugsUseMap.get(bigSubDrugs.get("big"))) || "忌用".equals(drugsUseMap.get(bigSubDrugs.get("sub")))) {
@@ -1531,6 +1707,11 @@ public class Neo4jAPI {
                         ageJsonObject.put("uint", uint.replace("\"", ""));
                         if ("年龄".equals(item.replace("\"", ""))) {
                             ageJsonObject.put("value", age);
+                            ageJsonObject.put("isShow",0);
+                        }else if("性别".equals(item.replace("\"", ""))){
+                            ageJsonObject.put("isShow",0);
+                        }else {
+                            ageJsonObject.put("isShow",1);
                         }
                         if (!"0".equals(controlType)) {
                             ageJsonObject.put("details", details.replace("\"", ""));
@@ -1550,9 +1731,9 @@ public class Neo4jAPI {
                                 manJson.put("detailName", name.replace("\"", ""));
                                 manJson.put("value", value1.replace("\"", ""));
                                 manJson.put("state", state);
-                                if ("男".equals(name.replace("\"", "")) && "M".equals(sex)) {
+                                if ("男".equals(name.replace("\"", "")) && "1".equals(sex)) {
                                     manJson.put("state", 1);
-                                } else if ("女".equals(name.replace("\"", "")) && "F".equals(sex)) {
+                                } else if ("女".equals(name.replace("\"", "")) && "2".equals(sex)) {
                                     manJson.put("state", 1);
                                 }
                                 sexList.add(manJson);
@@ -2557,7 +2738,7 @@ public class Neo4jAPI {
 
         } catch (Exception ex) {
             ex.printStackTrace();
-            System.out.println("返回带得分需要计算的量表时出了问题！---->getScaleCalc");
+            logger.error("返回带得分需要计算的量表出了问题！---->getScaleCalc2");
         } finally {
             CloseSession(session);
             return scaleStructure;
@@ -2616,6 +2797,10 @@ public class Neo4jAPI {
                     scaleStructure.put("scaleName", scaleName);
                 }
 
+                if (index.contains("-")) {
+                    index = index.split("-")[0];
+                }
+
                 JSONObject detail = new JSONObject();
                 detail.put("detailName", feature);
                 detail.put("state", 0);
@@ -2649,10 +2834,77 @@ public class Neo4jAPI {
             }
         } catch (Exception ex) {
             ex.printStackTrace();
-            System.out.println("返回不带得分不需要计算的量表出了问题！---->getScaleNoCalc");
+            logger.error("返回不带得分不需要计算的量表出了问题！---->getScaleNoCalc");
         } finally {
             CloseSession(session);
             return scaleStructure;
         }
     }
+
+    /**
+     * 查询需要排除的疾病
+     * @param info
+     * @return
+     */
+    public Map<String, Map<String, String>> getExcludeDiag(List<String> info) {
+        Session session = null;
+        String infostr = Pattern.compile("([,*])").matcher(info.toString()).replaceAll("\"$0\"");
+        infostr = infostr.replace("[", "[\"");
+        infostr = infostr.replace("]", "\"]");
+        infostr = infostr.replaceAll(" ", "");
+
+        Map<String, Map<String, String>> diaglist = new HashMap<>();
+        try{
+            session = driver.session(AccessMode.READ);
+            String query = "unwind " + infostr + " as lis " +
+                    "match (ex)-[q:排除依据]-(c)-[r:排除]->(d:Disease) where ex.name = lis return d";
+            System.out.println(query);
+            StatementResult dlist = session.run(query);
+
+            while (dlist.hasNext()) {
+                Record rec = dlist.next();
+                Node nd = rec.get("d").asNode();
+                String name = nd.get("name").toString().replaceAll("\"","");
+                diaglist.put(name, new HashMap<>());
+            }
+        } catch (Exception ex) {
+            ex.printStackTrace();
+        } finally {
+            CloseSession(session);
+            return diaglist;
+        }
+    }
+    /**
+     * 根据年龄和性别排除的疾病
+     */
+    public Set<String> filterDisFromSexAge(List<String> dis,String sexIn,Integer ageIn){
+        Set<String> filterDisList = new HashSet<>();
+        Session session = null;
+        try {
+            session = driver.session(AccessMode.READ);
+            String query = "match(d:Disease) where d.name in "+dis+" return d.name as dis,d.sex as sex,d.minAge as minAge,d.maxAge as maxAge";
+            StatementResult dlist = session.run(query);
+            while (dlist.hasNext()) {
+                Record rec = dlist.next();
+                String disName = rec.get("dis").toString().replace("\"", "");
+                String sex = rec.get("sex").toString();
+                int minAge = rec.get("minAge").asInt();
+                int maxAge = rec.get("maxAge").asInt();
+                if("1".equals(sex) || "2".equals(sex)){
+                    if(!sexIn.equals(sex)){
+                        filterDisList.add(disName);
+                    }
+                }
+                if(ageIn < minAge || ageIn >maxAge){
+                    filterDisList.add(disName);
+                }
+            }
+        } catch (Exception ex) {
+            ex.printStackTrace();
+        } finally {
+            CloseSession(session);
+            return filterDisList;
+        }
+
+    }
 }

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

@@ -1,5 +1,6 @@
 package org.diagbot.graph.util;
 
+import org.apache.commons.lang3.StringUtils;
 import org.diagbot.nlp.participle.cfg.Configuration;
 import org.diagbot.nlp.participle.cfg.DefaultConfig;
 
@@ -8,40 +9,168 @@ import java.util.List;
 import java.util.Map;
 
 public class CacheUtil {
-    public static Map<String,String> lexionMap=null;
     public static Map<String,Map<String,String>> sexAgeMap=null;
-    public static Map<String,String> getLexionCache(){
-        String path = "lexicon.dict";
+    public static Map<String,String> vitalMap=null;
+    public static Map<String,String> disgSortMap=null;
+    public static Map<String,String> diagClassifyMap = null;
+    public static Map<String,Integer> diagClassifyJiMap = null;
+    //诊断科室衍射
+    public static Map<String, String> doc_result_mapping_diag_map = null;
+
+    //疾病科室，获取缓存
+    public static Map<String,String> getDiagDepartCache(){
+        if (doc_result_mapping_diag_map == null) {
+            createDiagDepartCache();
+        }
+        return doc_result_mapping_diag_map;
+    }
+
+    public static Map<String,String> createDiagDepartCache(){
+        Configuration configuration = new DefaultConfig();
+        doc_result_mapping_diag_map = new HashMap<>();
+        List<String> contentList = configuration.readFileContents("graph_diag_2_dept.dict");
+        for (String s:contentList) {
+            String[] splits = s.split("\\|");
+            doc_result_mapping_diag_map.put(splits[0],splits[1]);
+        }
+        return doc_result_mapping_diag_map;
+    }
+
+    //疾病分级解析，获取缓存
+    public static Map<String,Integer> getDiagClassifyJiCache(){
+        if (diagClassifyJiMap == null) {
+            createDiagClassifyJiCache();
+        }
+        return diagClassifyJiMap;
+    }
+
+    public static Map<String,Integer> createDiagClassifyJiCache(){
         Configuration configuration = new DefaultConfig();
-        if(lexionMap == null){
-            lexionMap = new HashMap<>();
-            List<String> contentList = configuration.readFileContents(path);
-            for (String s:contentList) {
-                String[] splits = s.split("\\|");
-                lexionMap.put(splits[0],splits[1]);
+        diagClassifyJiMap = new HashMap<>();
+        List<String> contentList = configuration.readFileContents("graph_diag_normalize.dict");
+        String diagName =null,bigdiagName=null;
+        String[] diagSort =null;String[] split = null;
+        for (String s:contentList) {
+            String[] splits = s.split("\\|");
+            if (splits.length >= 2) {
+                diagName = splits[0].trim();//疾病本体
+                bigdiagName = splits[1].trim();//疾病大类
+                split = bigdiagName.split("\\、");
+                for (String dis:split) {
+                    diagClassifyJiMap.put(dis, 2);
+                }
+                diagClassifyJiMap.put(diagName,1);
+                if (splits.length == 3) {
+                    diagSort = splits[2].split("\\、");
+                    for (String dis : diagSort) {
+                        if (StringUtils.isNotEmpty(dis.trim())) {
+                            diagClassifyJiMap.put(dis.trim(), 3);
+                        }
+                    }
+                }
             }
+        }
+        return diagClassifyJiMap;
+    }
 
+    //疾病归一解析，获取缓存
+    public static Map<String,String> getDiagClassifyCache(){
+        if (diagClassifyMap == null) {
+            createDiagClassifyCache();
         }
-        return lexionMap;
+        return diagClassifyMap;
     }
-    public static Map<String,Map<String,String>> getSexAgeCache(){
-        String path = "sexAge.dict";
+
+    public static Map<String,String> createDiagClassifyCache(){
         Configuration configuration = new DefaultConfig();
-        if(sexAgeMap == null){
-            sexAgeMap = new HashMap<>();
-            List<String> contentList = configuration.readFileContents(path);
-            for (String s:contentList) {
-                Map<String,String> contentMap = new HashMap<>();
-                String[] splits = s.split("\\|");
-                String sexTyep = splits[1];
-                String min_age = splits[2];
-                String max_age = splits[3];
-                contentMap.put("sexType",sexTyep);
-                contentMap.put("min_age",min_age);
-                contentMap.put("max_age",max_age);
-                sexAgeMap.put(splits[0],contentMap);
+        diagClassifyMap = new HashMap<>();
+        List<String> contentList = configuration.readFileContents("graph_diag_normalize.dict");
+        String diagName =null,bigdiagName=null;
+        String[] diagSort =null;String[] split =null;
+        for (String s:contentList) {
+            String[] splits = s.split("\\|");
+            if (splits.length >= 2) {
+                diagName = splits[0].trim();//疾病本体
+                bigdiagName = splits[1].trim();//疾病大类
+                split = bigdiagName.split("\\、");
+                for (String dis:split
+                        ) {
+                    diagClassifyMap.put(dis, diagName);
+                }
+
+                if (splits.length == 3) {
+                    diagSort = splits[2].split("\\、");
+                    for (String dis : diagSort) {
+                        if (StringUtils.isNotEmpty(dis.trim())) {
+                            diagClassifyMap.put(dis.trim(), bigdiagName);
+                        }
+                    }
+                }
             }
         }
+        return diagClassifyMap;
+    }
+
+    public static Map<String,String> getDiagSortCache(){
+        if(disgSortMap == null){
+            createDiagSortCache();
+        }
+        return disgSortMap;
+    }
+    public static Map<String,String> createDiagSortCache(){
+        disgSortMap = new HashMap<>();
+
+        Configuration configuration = new DefaultConfig();
+        List<String> contentList = configuration.readFileContents("graph_diag_classify.dict");
+        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,Map<String,String>> getSexAgeCache(){
+        if (sexAgeMap == null) {
+            createSexAgeCache();
+        }
         return sexAgeMap;
     }
+
+    public static Map<String,Map<String,String>> createSexAgeCache(){
+        Configuration configuration = new DefaultConfig();
+        sexAgeMap = new HashMap<>();
+        List<String> contentList = configuration.readFileContents("graph_sex_age_filter.dict");
+        for (String s:contentList) {
+            Map<String,String> contentMap = new HashMap<>();
+            String[] splits = s.split("\\|");
+            String sexTyep = splits[1];
+            String min_age = splits[2];
+            String max_age = splits[3];
+            contentMap.put("sexType",sexTyep);
+            contentMap.put("min_age",min_age);
+            contentMap.put("max_age",max_age);
+            sexAgeMap.put(splits[0],contentMap);
+        }
+        return sexAgeMap;
+    }
+
+    public static Map<String,String> getVitalCache(){
+        if (vitalMap == null) {
+            createVitalCache();
+        }
+        return vitalMap;
+    }
+
+    public static Map<String,String> createVitalCache(){
+        Configuration configuration = new DefaultConfig();
+        vitalMap = new HashMap<>();
+        List<String> contentList = configuration.readFileContents("graph_vital_convert.dict");
+        for (String s:contentList) {
+            String[] splits = s.split("\\|");
+            vitalMap.put(splits[0],splits[1]);
+        }
+        return vitalMap;
+    }
 }

graph/src/main/resources/bolt.properties

@@ -9,10 +9,6 @@ bolt.uri=bolt://192.1.3.116
 bolt.user=neo4j
 bolt.passwd=root
 
-#\u533B\u5B66\u672F\u8BED\u4F7F\u7528
-bolt232.uri=bolt://192.1.3.116
-bolt232.user=neo4j
-bolt232.passwd=root
 
 #\u6D4B\u8BD5\u4F7F\u7528
 bolt112.uri=bolt://192.1.3.116
@@ -71,7 +67,7 @@ with m.name as condition, count(distinct r) as sd,m.path as jundgement\n \
 where sd>=jundgement\n \
 return condition
 #\u67E5\u627E\u786E\u8BCA
-searchDis=match (n:Condition)-[r:\u786E\u8BCA|:\u62DF\u8BCA]->(m:Disease)\n \
+searchDis=match (n:Condition)-[r:\u786E\u8BCA|:\u62DF\u8BCA|:\u8B66\u60D5]->(m:Disease)\n \
 where n.name in startList\n \
 with distinct m,r\n \
 return m.name as name, labels(m)[0] as label,type(r) as relationType;
@@ -87,11 +83,11 @@ searchBigSubDrugs=match (n:Disease{name:diseaseName})-[r0:\u63A8\u8350]->(m:Drug
 #\u67E5\u627E\u9274\u522B\u8BCA\u65AD\u7684\u8BED\u53E5
 searchDifferentialDiagnose=match(d:Disease)-[r:\u9274\u522B\u8BCA\u65AD]->(h) where d.name='mainDis' return collect(h.name) as coll
 
-#\u5224\u65AD\u662F\u5426\u4E3A\u6025\u8BCA\u7684\u8BED\u53E5
-searchEmergency=match(d:Disease) where d.name in disList and d.emergency=1 return d.name as emDis
+#\u5224\u65AD\u662F\u5426\u4E3A\u6025\u8BCA,\u8B66\u60D5\u7684\u8BED\u53E5
+searchEmergency=match(d:Disease) where d.name in disList return d.name as emDis,d.emergency as em
 
 #\u67E5\u627E\u6307\u6807\u7684\u8BED\u53E5
-searchIndication=match (n:Condition)-[r:\u786E\u8BCA|:\u62DF\u8BCA]->(m:Indicators)\n \
+    searchIndication=match (n:Condition)-[r:\u786E\u8BCA|:\u62DF\u8BCA]->(m:Indicators)\n \
 where n.name in fildList\n \
 with distinct m,r\n \
 return m.name as name

graph/src/main/resources/lexicon.dict

@@ -1,70 +0,0 @@
-s7W6RG6fbY4F7hCN+9GcDQ==
-BEwho/Vy3FcLGsZzyz/lrA==
-teL+mOFs+P5xK95yiefr1A==
-4WmmlIMFQw5dunQJNQOl9Mwy2IRdVfW7
-9n8MOrfpOzBse1YGr4PBqQ==
-bRdFLLf/QBQiAZd/xjyj2A==
-lSAF5F4PkDDgn5PMcGOHAQ==
-bI3YhExhf0ygnBv7GDMx4itzoMTPCpME
-9zvpXMKfsnfx3IKU2o+7zA==
-+BpdcftYCemAzuLCdJndHw==
-sqLl47cHFtetc3AdSoYwrQ==
-6BWOhrPv7J9Cj5vlDdVnBg==
-BXy7J2Qb4CXZhTO+q7f7Lf7jaz6wvHMH
-mrGmgHlOA2+2LlGVCW+2VQ==
-HkDJvzXre9AZ0B6jFd0rnw==
-BMjsBRH09HZlgTSR49CWoQ==
-K84K5InRTJH+1WlqU+tc90pgEZ36UZf7
-kJHwz4yDQvBKYBGd+lGX+w==
-+/iMWRrE/x++AlTuumOl8Q==
-yMIQPPgAnitefGaE90oS7A==
-DxBSa3FWWI0GI1/7VhWFVg==
-e5AUaAGRyItcJWT47mI/zw==
-TBEKZfNYdDAg4XtzH2iEsg==
-u0ELyb4t2lpWVlgi5Q4bKg==
-qHbaJZG3uf1NbYsDV8prZA==
-s5V0HutCSLYaBuBBF/Rq7rDyYRB1LPgT5opE3Fvtcpc=
-Iq7jb+VkzbVKYBGd+lGX+w==
-OsBp5KngCTRsQ1lgzfXoww==
-pg/hIoBF96D4FgUZuL7Odw==
-7vjnQx+bY41lsbwpSGyTBA==
-OqbB5fi11VfgcQlEe5DD+g==
-mmn7OCfRGCIEBLNEPwIttg==
-SRpf2O8GDiXbwAhKPF9MrZRs+QR/TraH
-lBMjruy+wjFKYBGd+lGX+w==
-ORpbdnw5IPSmtWtITrC/NQ==
-2soIQt/8ypDQGKRoU3BIkA==
-152PZYqH1ltlsbwpSGyTBA==
-cdavJOjogbpWVlgi5Q4bKg==
-LRN4dXCzoSUohhmaI9fLo2quUiUsJ2os/uGB4mDfi8Q=
-jb7cwm2aycBKYBGd+lGX+w==
-752lihMtImRtrXkjKvRwuQ==
-acfDmX94GIOMwEbR9wcFYg==
-QEGtWQkCHzxCj5vlDdVnBg==
-j6O2WShA+6xKYBGd+lGX+w==
-Om054uvU7T/J8AHLUkpbHg==
-cT0V76bKbStXYt7WbhcZXA==
-FbMgeI9IkO5LawQxODdEdpQbfNX9OvEj
-Qx1FtMXVFI1lf8WqY4kn6JQbfNX9OvEj
-4JmXbdcpagMbPUodBoCDFw==
-kjlisLDTfaNO2NL8TalLMg==
-dK/xyBvi7aP5XurM68XXvZQbfNX9OvEj
-WNOryxc9xnKTYO4WfhUMJ5Rs+QR/TraH
-JFdbafCC7S6fvvtXA3KqgQ==
-OefsKaBNTZj74WCSZlzDhQ47c03sgd0T
-qSj+i5YMSUDZKCVbszjsWSmuGyZkv2+0
-E4nTZm/cEARKYBGd+lGX+w==
-bBhhPMkI2shrAzg5abL/Xg==
-vC/g6hg25OE63hTezlzQHg==
-1P1mt9OJzQcORyCgk2k6ew==
-SdxW7VUIlOSW0Ig3/ZQrnQ==
-4AYbwy/G2ny/MOtJaBopwg==
-H8M+KMEP5AQh3ECueWip2w==
-TCyc2GYXyTOvZQhdm1P06w==
-2Sgj895/6q1KYBGd+lGX+w==
-YCDTg/uaEkbXe38IBCUIjQ==
-mFo8rO3m/XWvIrKw4P4pRg==
-ChZ5zGIydShKYBGd+lGX+w==
-eqlnQUtv63pKYBGd+lGX+w==
-4UDrddpEYJzRmL/ZWxBCEw==
-Q4Dnkx8QdKqTYO4WfhUMJ5Rs+QR/TraH

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

@@ -6,12 +6,100 @@ import org.diagbot.pub.utils.security.EncrypDES;
 import java.io.FileWriter;
 import java.sql.Connection;
 import java.sql.ResultSet;
+import java.sql.SQLException;
 import java.sql.Statement;
+import java.util.*;
 
 public class CacheFile {
     public static void main(String[] args) {
         CacheFile cacheFile = new CacheFile();
-        cacheFile.sexAge();
+        cacheFile.diagClassifyMaping();
+
+    }
+    //疾病 -- 科室
+    public void diagDepartMaping(){
+        MysqlJdbc nlpJdbc = new MysqlJdbc("root", "diagbot@20180822", "jdbc:mysql://192.168.2.235:3306/med-s?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 k1.lib_name diag_name, k2.lib_name dept_name FROM kl_concept_common kcc, kl_concept k1, kl_concept k2 " +
+                    "where kcc.concept_id = k1.id and kcc.dept_id = k2.id " +
+                    "and k1.lib_type = 18 and kcc.dept_id  is not null";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+            List<Map.Entry<String, String>> libaryList = rsToMap(rs, true);
+            FileWriter fw = new FileWriter(path + "src/main/resources/doc_result_mapping_diag.dict");
+            for (Map.Entry<String, String> entry : libaryList) {
+                fw.write(encrypDES.encrytor(entry.getKey() + "|" + entry.getValue()));
+                fw.write("\n");
+            }
+            fw.close();
+        } catch (Exception e) {
+            e.printStackTrace();
+        } finally {
+            nlpJdbc.close(rs, st, conn);
+        }
+    }
+    //疾病分类归一
+    public void diagClassifyMaping(){
+        MysqlJdbc nlpJdbc = new MysqlJdbc("root", "lantone", "jdbc:mysql://192.168.2.121:3306/med?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 g.diag_name,g.diag_bigName_classify,g.diag_subName_classify FROM `doc_bigsub_classify_diag` g ";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+            FileWriter fw = new FileWriter(path + "src/main/resources/diagClassify.dict");
+            String  r1 ,r2,r3;
+            while (rs.next()) {
+                r1 = rs.getString(1);//本类名
+                r2 = rs.getString(2);//大类名
+                r3 = rs.getString(3);//小类名
+                fw.write(encrypDES.encrytor(r1+ "|" + r2+ "|" + r3));
+                fw.write("\n");
+            }
+            fw.close();
+        } catch (Exception e) {
+            e.printStackTrace();
+        } finally {
+            nlpJdbc.close(rs, st, conn);
+        }
+    }
+    //诊断大小类对应
+    public void diagSort(){
+        MysqlJdbc nlpJdbc = new MysqlJdbc("root", "diagbot@20180822", "jdbc:mysql://192.168.2.235:3306/med-s?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(){
@@ -75,4 +163,63 @@ public class CacheFile {
             nlpJdbc.close(rs, st, conn);
         }
     }
+    //体征及体征结果
+    public void vitalMaping()  {
+        MysqlJdbc nlpJdbc = new MysqlJdbc("root", "diagbot@20180822", "jdbc:mysql://192.168.2.235:3306/med-s?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\n" +
+                    "\ti1.lib_name name1,\n" +
+                    "\ti2.lib_name name2 \n" +
+                    "FROM\n" +
+                    "\t`kl_relation` l \n" +
+                    "\tLEFT JOIN kl_concept i1 ON l.start_id = i1.id \n" +
+                    "\tLEFT JOIN kl_concept i2 ON l.end_id = i2.id \n" +
+                    "where l.relation_id=19 AND i1.lib_type=35 AND i2.lib_type=33";
+            st = conn.createStatement();
+            rs = st.executeQuery(sql);
+            FileWriter fw = new FileWriter(path + "src/main/resources/vital.dict");
+            String r1, r2;
+            while (rs.next()) {
+                r1 = rs.getString(1);//体征结果
+                r2 = rs.getString(2);//体征指标
+                fw.write(encrypDES.encrytor(r1 + "|" + r2));
+                fw.write("\n");
+            }
+            fw.close();
+        } catch (Exception e) {
+            e.printStackTrace();
+        } finally {
+            nlpJdbc.close(rs, st, conn);
+        }
+    }
+
+    private List<Map.Entry<String, String>> rsToMap(ResultSet rs, boolean isJoin) throws SQLException {
+        String r1 = "";
+        String r2 = "";
+        Map<String, String> libraryMap = new HashMap<>(10);
+        while (rs.next()) {
+            r1 = rs.getString(1);
+            r2 = rs.getString(2);
+            if (libraryMap.get(r1) == null) {
+                libraryMap.put(r1, r2);
+            } else if (isJoin && libraryMap.get(r1) != null) {
+                libraryMap.put(r1, libraryMap.get(r1) + "," + r2);
+            }
+        }
+
+        List<Map.Entry<String, String>> libraryList = new ArrayList<Map.Entry<String, String>>(libraryMap.entrySet());
+        Collections.sort(libraryList, new Comparator<Map.Entry<String, String>>() {
+            public int compare(Map.Entry<String, String> o1, Map.Entry<String, String> o2) {
+                return o1.getKey().compareTo(o2.getKey());
+            }
+        });
+
+        return libraryList;
+    }
 }

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

@@ -0,0 +1,55 @@
+package org.diagbot.graph;
+
+import org.apache.commons.lang3.StringUtils;
+import org.junit.Test;
+
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * 测试类
+ */
+public class DemoTest {
+    /**
+     * 测试map,如果map为空返回什么
+     */
+    @Test
+   public void MapTest(){
+        Map<String,String> k = new HashMap<>();
+        if(k.size()>0){
+            System.out.println("map不为空!!");
+        }else {
+            System.out.println("map为空!!!");
+        }
+        System.out.println(k.get("dd"));
+   }
+
+    /**
+     * 测试list
+     */
+   @Test
+   public void ListTest(){
+       List<String> testList = null;
+       testList = new ArrayList<>();
+       if(testList.size()>0){
+           System.out.println("list不为空!!!");
+       }else {
+           System.out.println("list为空!!!");
+       }
+   }
+
+    /**
+     * 测试string
+     */
+   @Test
+   public void stringTest(){
+       String k="";
+       if(StringUtils.isNotEmpty(k)){
+           System.out.println("k不为空!!!");
+       }else {
+           System.out.println("k为空!!!");
+       }
+   }
+}

graphdb/src/main/java/org/diagbot/repository/BaseNodeRepository.java

@@ -21,7 +21,10 @@ public interface BaseNodeRepository extends Neo4jRepository<BaseNode, Long> {
     //get high risk
     @Query("match(d:Disease) where d.name in {0} return d.name as name, d.high_risk as risk")
     List<Map<String, Object>> getHighRisk(List diagList);
-
+    //get VITAL
+    @Query("unwind {0} as row \n" +
+            " match (d:Disease)-[r1:表现]->(m:Vital) where d.name=row return m.name as name")
+    List<Map<String,Object>> getVitalList(List diagList);
     //get LIS PACS
     @Query("unwind {0} as row \n" +
             " match (d:Disease)-[r1:推荐]->(m) where d.name=row return  labels(m)[0] as label,m.name as name")

graphdb/src/main/java/org/diagbot/service/impl/KnowledgeServiceImpl.java

@@ -239,7 +239,7 @@ public class KnowledgeServiceImpl implements KnowledgeService {
         logger.info("分词系统传来的词: " + ss);
         logger.info("图谱开始根据传来的分词计算诊断.....");
         //开始推送诊断逻辑,包括推送疑诊,急诊,鉴别诊断
-        if (featureTypeList != null && featureTypeList.contains("7")) {
+        if (featureTypeList != null && featureTypeList.contains("2")) {
             //第一,二步查询输入的词所在number
             Set<String> fildInNumber = this.getNumber(ss);
             //第三步查找疑诊
@@ -298,11 +298,11 @@ public class KnowledgeServiceImpl implements KnowledgeService {
                 for (Map.Entry<String, Map<String, String>> d : diseaseCondition.entrySet()) {
                     FeatureRate featureRate = new FeatureRate();
                     featureRate.setFeatureName(d.getKey());
-                    featureRate.setExtraProperty("");
+                    featureRate.setExtraProperty("neo4j");
                     Map<String, String> value = d.getValue();
                     String s = JSON.toJSONString(value);
                     featureRate.setDesc(s);
-                    featureRate.setRate("neo4j");
+//                    featureRate.setRate("neo4j");
                     featureRates.add(featureRate);
                 }
             }
@@ -312,7 +312,7 @@ public class KnowledgeServiceImpl implements KnowledgeService {
         logger.info("图谱计算出来的诊断(包含疑诊,急诊,鉴别诊断)为: " + que);
 
         //推送治疗,包含不良反应
-        if (webDiag != null && webDiag.trim() != "" && featureTypeList.contains("8")) {
+        if (webDiag != null && webDiag.trim() != "" && featureTypeList.contains("6")) {
             logger.info("界面有诊断,并且features包含8,可以走治疗方案");
             //查找页面诊断里是否有不良反应(慢病的情况下)
             Map<String, List<String>> disUE = new HashMap<>();
@@ -371,14 +371,14 @@ public class KnowledgeServiceImpl implements KnowledgeService {
     }
 
     /**
-     * 获取化验和辅检
+     * 获取化验和辅检,体征结果
      * @param searchData
      * @return
      */
     @Override
     public Map<String, List<FeatureRate>> getLisPacs(SearchData searchData) {
         String[] featureArray = StringUtils.split(searchData.getFeatureType(), ",");
-        List<String> featureList = Arrays.asList(featureArray);
+        List<String> featureList = Arrays.asList(searchData.getFeatureTypes());
         Map<String, List<FeatureRate>> lisPacsFeature = new HashMap<>();
         String webDiag = searchData.getDiag();
         List<String> webDiagList = null;
@@ -390,7 +390,7 @@ public class KnowledgeServiceImpl implements KnowledgeService {
         List<String> bigdataDiagList = new LinkedList<>();//大数据诊断
         if (bigdataDiagFeature.size() > 0) {
             for (FeatureRate fe : bigdataDiagFeature) {
-                if ("neo4j".equals(fe.getRate()) && fe.getDesc().contains("确诊")) {
+                if ("neo4j".equals(fe.getSource()) && fe.getDesc().contains("确诊")) {
                     neo4jDiagList.add(fe.getFeatureName());
                 } else if (fe.getDesc() == null) {
                     bigdataDiagList.add(fe.getFeatureName());
@@ -414,20 +414,24 @@ public class KnowledgeServiceImpl implements KnowledgeService {
             }
         }
         logger.info("界面诊断为: " + webDiagList);
-        Map<String, LinkedHashSet<String>> weblisPacs = null;
-        Map<String, LinkedHashSet<String>> neo4jlisPacs = null;
-        Map<String, LinkedHashSet<String>> biglisPacs = null;
+        Map<String, LinkedHashSet<String>> weblisPacs = null,webVital = null;
+        Map<String, LinkedHashSet<String>> neo4jlisPacs = null,neo4jVital = null;
+        Map<String, LinkedHashSet<String>> biglisPacs = null,bigVital = null;
         if (webDiagList != null && webDiagList.size() > 0) {
             weblisPacs = processLisPacs(webDiagList);
+            webVital = processVital(webDiagList);
         }
         if (neo4jDiagList != null && neo4jDiagList.size() > 0) {
             neo4jlisPacs = processLisPacs(neo4jDiagList);
+            neo4jVital = processVital(neo4jDiagList);
         }
         if (bigdataDiagList != null && bigdataDiagList.size() > 0) {
             biglisPacs = processLisPacs(bigdataDiagList);
+            bigVital = processVital(bigdataDiagList);
         }
         Set<String> lis = new LinkedHashSet<>();
         Set<String> pacs = new LinkedHashSet<>();
+        Set<String> vitalReultSet = new LinkedHashSet<>();
         Set<String> webLis = null;
         Set<String> webPacs = null;
         Set<String> neoLis = null;
@@ -446,6 +450,7 @@ public class KnowledgeServiceImpl implements KnowledgeService {
             if(webPacs != null){
                 pacs.addAll(webPacs);
             }
+            vitalReultSet.addAll(webVital.get("VITAL_RESULT"));
         }
         if(neo4jlisPacs != null){
             neoLis = neo4jlisPacs.get("LIS");
@@ -456,6 +461,7 @@ public class KnowledgeServiceImpl implements KnowledgeService {
             if(neoPacs != null){
                 pacs.addAll(neoPacs);
             }
+            vitalReultSet.addAll(neo4jVital.get("VITAL_RESULT"));
         }
         if(biglisPacs != null){
             bigLis = biglisPacs.get("LIS");
@@ -466,11 +472,14 @@ public class KnowledgeServiceImpl implements KnowledgeService {
             if(bigPacs != null){
                 pacs.addAll(bigPacs);
             }
+            vitalReultSet.addAll(bigVital.get("VITAL_RESULT"));
         }
         logger.info("推出的合并lis为: " + lis);
         logger.info("推出的合并pacs为: " + pacs);
+        logger.info("推出的合并体征结果为: " + vitalReultSet);
         ArrayList<FeatureRate> lisFeature = new ArrayList<>();
         ArrayList<FeatureRate> pacsFeature = new ArrayList<>();
+        ArrayList<FeatureRate> vitalFeature = new ArrayList<>();
         if (lis != null && lis.size() > 0 && featureList.contains("4")) {
             List<String> newLis = new ArrayList<>();
             if(lis.size()>searchData.getLength()){
@@ -489,14 +498,42 @@ public class KnowledgeServiceImpl implements KnowledgeService {
             }
         }
         if (pacs != null && pacs.size() > 0 && featureList.contains("5")) {
-            for (String p : pacs) {
+            List<String> newPacs = new ArrayList<>();
+            if(pacs.size()>searchData.getLength()){
+                for (String l:pacs) {
+                    if(newPacs.size()<searchData.getLength()){
+                        newPacs.add(l);
+                    }
+                }
+            }else {
+                newPacs.addAll(pacs);
+            }
+            for (String p : newPacs) {
                 FeatureRate featureRate = new FeatureRate();
                 featureRate.setFeatureName(p);
                 pacsFeature.add(featureRate);
             }
         }
+        if(vitalReultSet.size() > 0){
+            List<String> newVitalRes = new ArrayList<>();
+            if(vitalReultSet.size()>searchData.getLength()){
+                for (String l:vitalReultSet) {
+                    if(newVitalRes.size()<searchData.getLength()){
+                        newVitalRes.add(l);
+                    }
+                }
+            }else {
+                newVitalRes.addAll(vitalReultSet);
+            }
+            for (String p : newVitalRes) {
+                FeatureRate featureRate = new FeatureRate();
+                featureRate.setFeatureName(p);
+                vitalFeature.add(featureRate);
+            }
+        }
         lisPacsFeature.put("lisList", lisFeature);
         lisPacsFeature.put("pacsList", pacsFeature);
+        lisPacsFeature.put("vitalResultList",vitalFeature);
 
         return lisPacsFeature;
     }
@@ -520,6 +557,24 @@ public class KnowledgeServiceImpl implements KnowledgeService {
         return fildInNumber;
     }
 
+    /**
+     * 查询体征
+     * @param webDiagList
+     * @return
+     */
+    public Map<String, LinkedHashSet<String>> processVital(List<String> webDiagList) {
+        Map<String, LinkedHashSet<String>> vitalMap = new HashMap<>();
+        LinkedHashSet<String> vitalResultArray = new LinkedHashSet<>();//体征结果
+        List<Map<String, Object>> vitalList = baseNodeRepository.getVitalList(webDiagList);
+        if (vitalList != null && vitalList.size() > 0) {
+            for (Map<String, Object> f : vitalList) {
+                String name = f.get("name").toString();
+                vitalResultArray.add(name);
+            }
+        }
+        vitalMap.put("VITAL_RESULT", vitalResultArray);
+        return vitalMap;
+    }
     /**
      * 根据内容推出不良反应集合
      *

graphdb/src/main/java/org/diagbot/vo/domain/FeatureRate.java

@@ -10,4 +10,5 @@ public class FeatureRate {
     private String extraProperty;
     private String desc;
     private String rate;
+    private String source;
 }

graphdb/src/main/java/org/diagbot/web/KnowledgeController.java

@@ -155,8 +155,10 @@ public class KnowledgeController {
         Map<String, List<FeatureRate>> lisPacs = knowledgeService.getLisPacs(searchData);
         List<FeatureRate> lisList = lisPacs.get("lisList");
         List<FeatureRate> pacsList = lisPacs.get("pacsList");
+        List<FeatureRate> vitalResultList = lisPacs.get("vitalResultList");
         responseData.setLabs(lisList);
         responseData.setPacs(pacsList);
+        responseData.setVitals(vitalResultList);
         kk.setData(responseData);
         return kk;
     }

nlp-web/src/main/java/org/diagbot/nlp/controller/FeatureController.java

@@ -154,7 +154,10 @@ public class FeatureController extends BaseController<Feature, FeatureWrapper, L
                             content = info.getPresent();
                             propel = propelSymptom;
                             break;
-
+                        case TIME:
+                            content = info.getPresent();
+                            propel = propelSymptom;
+                            break;
                         case FEATURE:
                             content = info.getPresent();
                             propel = propelSymptom;
@@ -177,6 +180,7 @@ public class FeatureController extends BaseController<Feature, FeatureWrapper, L
                             break;
                     }
                     featureList = sa.start(content, FeatureType.parse(featureType));
+
                     if (featureList == null) {
                         continue;
                     }

nlp-web/src/main/resources/application.yml

@@ -12,7 +12,7 @@ spring:
       charset: UTF-8
       enabled: true
   datasource:       # mybatis 配置，使用druid数据源
-    url: jdbc:mysql://192.1.3.116:3306/med-s?useUnicode=true&characterEncoding=UTF-8
+    url: jdbc:mysql://1.1.1.1:3306/med-s?useUnicode=true&characterEncoding=UTF-8
     username: root
     password: langtong
     type: com.alibaba.druid.pool.DruidDataSource

nlp/src/main/java/org/diagbot/nlp/feature/FeatureAnalyze.java

@@ -89,6 +89,10 @@ public class FeatureAnalyze {
                     } else {
                         l.setConcept(l.getConcept() + "," + NlpCache.standard_info_synonym_map.get(props[i]).get(l.getText()));
                     }
+                    //如果是症状或体征，进行标准术语转换
+                    if (props[i].equals(Constants.feature_type_symptom)) {
+                        l.setText(NlpCache.standard_info_synonym_map.get(props[i]).get(l.getText()));
+                    }
                 }
             }
         }

nlp/src/main/java/org/diagbot/nlp/feature/FeatureType.java

@@ -13,7 +13,9 @@ public enum FeatureType {
     PACS(Constants.feature_type_pacs),
     FEATURE(Constants.feature_type_feature),
     TREAT(Constants.feature_type_treat),
-    HISTORY(Constants.feature_type_history);
+    HISTORY(Constants.feature_type_history),
+    VITAL_INDEX(Constants.feature_type_vital_index),
+    TIME(Constants.feature_type_time);
 
     FeatureType(String value) {
         this.value = value;
@@ -47,6 +49,10 @@ public enum FeatureType {
                 return FeatureType.HISTORY;
             case Constants.feature_type_feature:
                 return FeatureType.FEATURE;
+            case Constants.feature_type_vital_index:
+                return FeatureType.VITAL;
+            case Constants.feature_type_time:
+                return FeatureType.TIME;
         }
         return FeatureType.SYMPTOM;
     }

nlp/src/main/java/org/diagbot/nlp/feature/extract/CaseToken.java

@@ -100,16 +100,14 @@ public abstract class CaseToken {
             }
         }
         if (!hasFeature) {
-//            if (sn <= 6) {
-                Map<String, Object> fMap = new HashMap<>(10);
-                fMap.put("feature_name", lexeme.getText());
-                fMap.put("feature_type", featureType);
-                fMap.put("negative", key);
-                fMap.put("sn", String.valueOf(sn++));
-                fMap.put("property", lexeme.getProperty());
-                fMap.put("concept", lexeme.getConcept());
-                featuresList.add(fMap);
-//            }
+            Map<String, Object> fMap = new HashMap<>(10);
+            fMap.put("feature_name", lexeme.getText());
+            fMap.put("feature_type", featureType);
+            fMap.put("negative", key);
+            fMap.put("sn", String.valueOf(sn++));
+            fMap.put("property", lexeme.getProperty());
+            fMap.put("concept", lexeme.getConcept());
+            featuresList.add(fMap);
         }
     }
 }

nlp/src/main/java/org/diagbot/nlp/feature/extract/CaseTokenFactory.java

@@ -14,6 +14,7 @@ public class CaseTokenFactory {
     private static CaseTokenVital caseTokenVital = null;
     private static CaseTokenLIS caseTokenLis = null;
     private static CaseTokenPACS caseTokenPacs = null;
+    private static CaseTokenTime caseTokenTime = null;
 
     public static CaseToken getInstance(FeatureType featureType) throws java.lang.InstantiationException, java.lang.IllegalAccessException {
         try {
@@ -48,6 +49,11 @@ public class CaseTokenFactory {
                         caseTokenDiag = new CaseTokenDiag();
                     }
                     return caseTokenDiag;
+                case TIME:
+                    if (caseTokenTime == null) {
+                        caseTokenTime = new CaseTokenTime();
+                    }
+                    return caseTokenTime;
             }
         }catch (Exception ille) {
             throw ille;

nlp/src/main/java/org/diagbot/nlp/feature/extract/CaseTokenTime.java

@@ -0,0 +1,111 @@
+package org.diagbot.nlp.feature.extract;
+
+import org.diagbot.nlp.participle.word.Lexeme;
+import org.diagbot.nlp.participle.word.LexemePath;
+import org.diagbot.nlp.util.Constants;
+import org.diagbot.nlp.util.NegativeEnum;
+import org.diagbot.nlp.util.NlpUtil;
+
+import java.math.BigDecimal;
+import java.util.*;
+
+public class CaseTokenTime extends CaseToken {
+    {
+        stop_symbol = NlpUtil.extendsSymbol(stop_symbol, new String[]{",", "，", ":", "："});
+    }
+
+    private List numtextList = new ArrayList(Arrays.asList("数", "多", "半", "一", "二", "三", "四", "五", "六", "七", "八", "九", "十"));
+    private Map<String, String> numtextMap = new HashMap<String, String>(){{
+        put("一","1");
+        put("二","2");
+        put("三","3");
+        put("四","4");
+        put("五","5");
+        put("六","6");
+        put("七","7");
+        put("八","8");
+        put("九","9");
+        put("十","10");
+    }};
+
+    public List<Map<String, Object>> analyze(LexemePath<Lexeme> lexemePath) throws Exception {
+        super.sn = 0;
+        int max_offset = 10;        //只取前10个词元中的时间信息
+        //词性
+        String property = null;
+        NegativeEnum[] nees = new NegativeEnum[]{NegativeEnum.EVENT_TIME};
+        List<Map<String, Object>> featuresList = new ArrayList<>();
+
+        Lexeme leftLexeme = null;
+
+        double time_value = 0.0;
+        for (int index = 0; index < lexemePath.size(); index++) {
+            Lexeme lexeme = lexemePath.get(index);
+            property = lexeme.getProperty();
+            if (NlpUtil.isFeature(property, nees)) {          //特征词 化验
+                if (index > 0) {
+                    leftLexeme = lexemePath.get(index - 1);
+                } else {
+                    break;
+                }
+                if (numtextList.contains(leftLexeme.getText())) {
+                    if ("数".equals(leftLexeme.getText()) || "多".equals(leftLexeme.getText())) {     //数年直接按5年处理
+                        time_value = 5;
+                    } else if ("半".equals(leftLexeme.getText())) {
+                        time_value = 0.5;
+                    } else {
+                        time_value = Double.valueOf(numtextMap.get(leftLexeme.getText()));
+                    }
+                } else {
+                    try {
+                        time_value = Double.valueOf(leftLexeme.getText());
+                    } catch (Exception nfe) {
+                        if (leftLexeme.getText().indexOf("-") > -1) {
+                            try {
+                                time_value = Double.valueOf(leftLexeme.getText().split("-")[0]);
+                            } catch (Exception e) {
+                            }
+                        }
+                    }
+                }
+
+                if (time_value > 0) {
+                    if ("年".equals(lexeme.getText()) || "年余".equals(lexeme.getText())) {
+                        if (time_value > 100) {
+                            time_value = 2018 - time_value;
+                        }
+                        time_value = time_value * 365;
+                    } else if ("月".equals(lexeme.getText()) || "月余".equals(lexeme.getText())) {
+                        time_value = time_value * 30;
+                    } else if ("天".equals(lexeme.getText()) || "天余".equals(lexeme.getText()) || "日".equals(lexeme.getText())) {
+                        time_value = time_value;
+                    } else if ("周".equals(lexeme.getText()) || "周余".equals(lexeme.getText())) {
+                        time_value = time_value * 7;
+                    } else if ("小时".equals(lexeme.getText())) {
+                        time_value = time_value / 24;
+                    } else if ("分钟".equals(lexeme.getText())) {
+                        time_value = time_value / (24 * 60);
+                    }
+                }
+
+                if (time_value > 0) {
+                    BigDecimal bd = new BigDecimal(time_value);
+                    time_value = bd.setScale(2,BigDecimal.ROUND_HALF_UP).doubleValue();
+
+                    Map<String, Object> fMap = new HashMap<>(10);
+                    fMap.put("feature_name", time_value);
+                    fMap.put("feature_type", Constants.feature_type_time);
+                    fMap.put("negative", "有");
+                    fMap.put("sn", String.valueOf(sn++));
+                    fMap.put("property", lexeme.getProperty());
+                    fMap.put("concept", lexeme.getConcept());
+
+                    fMap.put("time_label", "1");
+                    featuresList.add(fMap);
+                }
+                break;
+            }
+        }
+        return featuresList;
+    }
+}

nlp/src/main/java/org/diagbot/nlp/participle/cfg/DefaultConfig.java

@@ -1,6 +1,7 @@
 package org.diagbot.nlp.participle.cfg;
 
 import org.diagbot.nlp.participle.word.Segment;
+import org.diagbot.pub.utils.PropertiesUtil;
 import org.diagbot.pub.utils.security.EncrypDES;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
@@ -22,6 +23,13 @@ public class DefaultConfig implements Configuration {
 
     Segment segment;
 
+    private String path_prefix = "";
+
+    public DefaultConfig() {
+        PropertiesUtil propertiesUtil = new PropertiesUtil("nlp.properties");
+        path_prefix = propertiesUtil.getProperty("cache.file.dir");
+    }
+
     public Segment loadMainDict(String path) {
         List<String> fileContents = readFileContents(path);
         logger.info("读取文件" + path + "结果：" + fileContents.size() + "行");
@@ -78,11 +86,15 @@ public class DefaultConfig implements Configuration {
     }
 
     public List<String> readFileContents(String path) {
+        if (!StringUtils.isEmpty(path_prefix)) path = path_prefix + path;
         InputStream is = null;
         List<String> fileContents = new ArrayList<String>(10);
         try {
             if (StringUtils.isEmpty(path)) path = DEFAULT_PATH;
             is = this.getClass().getClassLoader().getResourceAsStream(path);
+            File file = new File(path);
+//            File file = new File(this.getClass().getResource(path).getFile());
+            is = new FileInputStream(file);
             if (is == null) {
                 throw new RuntimeException(path + ".......文件未找到!!");
             }
@@ -117,6 +129,7 @@ public class DefaultConfig implements Configuration {
     }
 
     public void writeFileContents(List<String> contents, String path, String separator) {
+        if (!StringUtils.isEmpty(path_prefix)) path = path_prefix + path;
         try {
             FileWriter fw = new FileWriter(path);
             for (String content : contents) {

nlp/src/main/java/org/diagbot/nlp/util/Constants.java

@@ -16,6 +16,8 @@ public class Constants {
     public final static String feature_type_treat = "6";       //治疗
     public final static String feature_type_history = "7";       //历史
     public final static String feature_type_feature = "9"; //症状描述中的特征信息 如部位、性质等
+    public final static String feature_type_time = "10";    //提取时间
+    public final static String feature_type_vital_index = "42"; //体征指标
 
     public static NegativeEnum[] symptom_type = new NegativeEnum[]{NegativeEnum.SYMPTOM, NegativeEnum.SYMPTOM_INDEX, NegativeEnum.SYMPTOM_PERFORMANCE};
     public static NegativeEnum[] unit_time_type = new NegativeEnum[]{NegativeEnum.EVENT_TIME, NegativeEnum.UNIT};
@@ -47,7 +49,7 @@ public class Constants {
             "神清","神志清","睡眠可","精神可","精神佳","二便无殊","体重无明显减轻","睡眠一般","小便无殊","大便无殊","胃纳可","食欲可"
     };
 
-    public final static String word_property_timestamp = "74";
+    public final static String word_property_timestamp = "40";
     public final static String word_property_symptom = "1";
     public final static String word_property_bodypart = "3";
     public final static String word_property_prop = "4";
@@ -55,7 +57,7 @@ public class Constants {
     public final static String word_property_degree = "6";
     public final static String word_property_neg = "7";
     public final static String word_property_med = "53";
-    public final static String word_property_medcom = "54";
+    public final static String word_property_med_com = "54";
     public final static String word_property_treat = "11";
     public final static String word_property_LIS = "12";
     public final static String word_property_LIS_Detail = "13";

nlp/src/main/java/org/diagbot/nlp/util/DictUtil.java

@@ -29,7 +29,7 @@ public class DictUtil {
     }
 
     public void writeToDict(String path) {
-        MysqlJdbc nlpJdbc = new MysqlJdbc("root", "diagbot@20180822", "jdbc:mysql://192.1.3.116:3306/med-s?useUnicode=true&characterEncoding=UTF-8");
+        MysqlJdbc nlpJdbc = new MysqlJdbc("root", "lantone", "jdbc:mysql://192.168.2.121:3306/med?useUnicode=true&characterEncoding=UTF-8");
         Connection conn = nlpJdbc.connect();
         Statement st = null;
         ResultSet rs = null;

nlp/src/main/java/org/diagbot/nlp/util/NlpCache.java

@@ -31,12 +31,12 @@ public class NlpCache {
 
     public static void createSegmentCache() {
         Configuration configuration = new DefaultConfig();
-        segment_cache = configuration.loadMainDict("tc.dict");
+        segment_cache = configuration.loadMainDict( "tc.dict");
     }
 
     public static void createPushCache() {
         Configuration configuration = new DefaultConfig();
-        standard_info_push_map = configuration.loadMapDict("push-tc.dict");
+        standard_info_push_map = configuration.loadMapDict( "push-tc.dict");
     }
 
     public static void createSynonymCache() {
@@ -59,6 +59,7 @@ public class NlpCache {
 
     public static void createClassifyCache() {
         Configuration configuration = new DefaultConfig();
+
         standard_info_classify_map = configuration.loadMapDict("classify.dict");
     }
 

nlp/src/main/java/org/diagbot/nlp/util/NlpUtil.java

@@ -2,7 +2,7 @@ package org.diagbot.nlp.util;
 
 import org.diagbot.nlp.participle.word.Lexeme;
 
-import java.util.Arrays;
+import java.util.*;
 
 /**
  * @Auther: fyeman
@@ -11,6 +11,20 @@ import java.util.Arrays;
  */
 public class NlpUtil {
 
+    private static List numtextList = new ArrayList(Arrays.asList("数", "多", "半", "一", "二", "三", "四", "五", "六", "七", "八", "九", "十"));
+    private static  Map<String, String> numtextMap = new HashMap<String, String>(){{
+        put("一","1");
+        put("二","2");
+        put("三","3");
+        put("四","4");
+        put("五","5");
+        put("六","6");
+        put("七","7");
+        put("八","8");
+        put("九","9");
+        put("十","10");
+    }};
+
     public static String[] extendsSymbol(String[] origin, String[] extend_symbols) {
         String[] symbols = new String[origin.length + extend_symbols.length];
         System.arraycopy(origin, 0, symbols, 0, origin.length);
@@ -33,6 +47,31 @@ public class NlpUtil {
         return false;
     }
 
+    public static double numberText2value(Lexeme l) {
+        double value = 0.0;
+        if (numtextList.contains(l.getText())) {
+            if ("数".equals(l.getText()) || "多".equals(l.getText())) {     //数年直接按5年处理
+                value = 5;
+            } else if ("半".equals(l.getText())) {
+                value = 0.5;
+            } else {
+                value = Double.valueOf(numtextMap.get(l.getText()));
+            }
+        } else {
+            try {
+                value = Double.valueOf(l.getText());
+            } catch (Exception nfe) {
+                if (l.getText().indexOf("-") > -1) {
+                    try {
+                        value = Double.valueOf(l.getText().split("-")[0]);
+                    } catch (Exception e) {
+                    }
+                }
+            }
+        }
+        return value;
+    }
+
     public static boolean isFeature(String property, NegativeEnum[] features) {
         if (property == null) {
             return false;

nlp/src/main/resources/chronic.dict

@@ -1 +0,0 @@
-kQHtQ28+jmR5grdNyynjjEpgEZ36UZf7

nlp/src/main/resources/nlp.properties

@@ -0,0 +1,3 @@
+#Êý¾ÝÎļþ´æ·Å·¾¶
+cache.file.dir=/opt/diagbot-push/cache_file/
+#cache.file.dir=d:\\cache_file\\

nlp/src/main/resources/relation.dict

@@ -1,79 +0,0 @@
-RNMak3cFWH4=
-ddolNu+ruoI=
-crSKo8ZJQWw=
-GLI7v4oJneU=
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-o15aELxdA/0=
-csWORUAoN0g=
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-Slw/FnB9o4g=
-r7bymlovf1w=
-bSkSwBpuGHs=
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nlp/src/test/java/org/diagbot/nlp/test/ConceptTest.java

@@ -42,13 +42,14 @@ public class ConceptTest {
     private static final String zdyjqd_path = "E:\\git\\docs\\医学知识库\\诊断依据\\全部依据\\其他有问题的词\\诊断依据问题词0701.xlsx";
     private static final String pacsresult_path = "E:\\git\\docs\\医学知识库\\诊断依据\\全部依据\\其他有问题的词\\诊断依据问题词0702.xlsx";
     private static final String lisresult_path = "E:\\git\\docs\\医学知识库\\化验\\化验结果_诊断依据0702.xlsx";
+    private static final String vital_result_index_path = "E:\\git\\docs\\医学知识库\\体征\\体征结果映射关系.xlsx";
 
     public static void main(String[] args) {
         try {
 //            insertSymptom();
 //            insertPushSymptom();
 //            insertPart();
-            insertVital();
+//            insertVital();
 //            insertLis();
 //            insertLisResult();
 //            insertPacs();
@@ -65,6 +66,7 @@ public class ConceptTest {
 //            insertZdyjQt();
 
 //            insertRelationSymptom();
+            insertVitalResultIndex();
 
         } catch (Exception e) {
             e.printStackTrace();
@@ -186,6 +188,10 @@ public class ConceptTest {
         insertOneColumn(lisresult_path, 4, "14", "化验结果");
     }
 
+    public static void insertVitalResultIndex() throws Exception {
+        insertOneColumn(vital_result_index_path, 1, "33", "体征指标");
+    }
+
     public static void insertOneColumn(String path, int columnIndex, String typeId, String typeName) throws Exception {
         insertOneColumn(0, path, columnIndex, typeId, typeName);
     }

pom.xml

@@ -21,6 +21,7 @@
         <module>nlp-web</module>
         <module>push-web</module>
         <module>graphdb</module>
+        <module>common-push</module>
     </modules>
 
     <properties>
@@ -252,6 +253,13 @@
             <artifactId>fastjson</artifactId>
             <version>1.2.46</version>
         </dependency>
+
+        <!-- https://mvnrepository.com/artifact/org.mongodb/bson -->
+        <dependency>
+            <groupId>org.mongodb</groupId>
+            <artifactId>bson</artifactId>
+            <version>3.10.1</version>
+        </dependency>
     </dependencies>
 
     <!-- .properties xml进行打包 -->

public/src/main/java/org/diagbot/pub/jdbc/MysqlJdbc.java

@@ -131,6 +131,7 @@ public class MysqlJdbc {
             StringBuffer sb = new StringBuffer();
 
             int first_index = 0;
+            String val = "";
             for (int cursor = 0; cursor < data.size(); cursor ++) {
                 if (first_index > 0) {
                     sb.append(",");
@@ -142,7 +143,11 @@ public class MysqlJdbc {
                     }
                     if (data.get(cursor).get(columns[i]) != null) {
                         sb.append("'");
-                        sb.append(data.get(cursor).get(columns[i]));
+                        val = data.get(cursor).get(columns[i]).toString();
+                        if (val.indexOf("'") > -1) {
+                            val = val.replace("'", "\\'");
+                        }
+                        sb.append(val);
                         sb.append("'");
                     } else {
                         sb.append("''");
@@ -177,6 +182,7 @@ public class MysqlJdbc {
             conn.setAutoCommit(false);
             st = conn.createStatement();
             int batchIndex = 0;
+            String val = "";
             for (int cursor = 0; cursor < data.size(); cursor ++) {
                 String sql = joinInsetSql(table, columns);
                 sql += "(";
@@ -186,7 +192,11 @@ public class MysqlJdbc {
                     }
                     if (data.get(cursor).get(columns[i]) != null) {
                         sql += "'";
-                        sql += data.get(cursor).get(columns[i]);
+                        val = data.get(cursor).get(columns[i]).toString();
+                        if (val.indexOf("'") > -1) {
+                            val = val.replace("'", "\\'");
+                        }
+                        sql += val;
                         sql += "'";
                     } else {
                         sql += null;

push-web/pom.xml

@@ -49,6 +49,12 @@
 			<version>1.0.0</version>
 		</dependency>
 
+		<dependency>
+			<groupId>org.diagbot</groupId>
+			<artifactId>common-push</artifactId>
+			<version>1.0.0</version>
+		</dependency>
+
 		<dependency>
 			<groupId>org.diagbot</groupId>
 			<artifactId>bigdata-web</artifactId>

push-web/src/main/java/org/diagbot/push/config/InterceptorConfig.java

@@ -1,6 +1,7 @@
 package org.diagbot.push.config;
 
 import org.diagbot.bigdata.common.RegionInterceptor;
+import org.diagbot.common.push.cache.CacheFileManager;
 import org.springframework.context.annotation.Configuration;
 import org.springframework.web.servlet.config.annotation.InterceptorRegistration;
 import org.springframework.web.servlet.config.annotation.InterceptorRegistry;
@@ -20,5 +21,9 @@ public class InterceptorConfig implements WebMvcConfigurer {
         //登录拦截的管理器
         InterceptorRegistration registration = registry.addInterceptor(new RegionInterceptor());     //拦截的对象会进入这个类中进行判断
         registration.addPathPatterns("/**");                    //所有路径都被拦截
+
+        //生成数据文件
+        CacheFileManager cacheFileManager = new CacheFileManager();
+        cacheFileManager.createCacheFile();
     }
 }

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

@@ -1,14 +1,18 @@
 package org.diagbot.push.controller;
 
+import org.apache.commons.lang3.StringUtils;
 import org.diagbot.bigdata.work.AlgorithmCore;
 import org.diagbot.common.javabean.Drugs;
 import org.diagbot.common.javabean.Filnlly;
 import org.diagbot.common.javabean.MedicalIndication;
 import org.diagbot.common.javabean.Medicition;
+import org.diagbot.common.push.filter.ClassifyDiag;
 import org.diagbot.common.work.FeatureRate;
 import org.diagbot.common.work.ResponseData;
 import org.diagbot.common.work.SearchData;
+import org.diagbot.graph.util.CacheUtil;
 import org.diagbot.graphWeb.work.DiseaseCalculate;
+import org.diagbot.graphWeb.work.FilterSortDiag;
 import org.diagbot.graphWeb.work.GraphCalculate;
 import org.diagbot.graphWeb.work.LisPacsCalculate;
 import org.diagbot.nlp.util.Constants;
@@ -25,6 +29,7 @@ import org.springframework.web.bind.annotation.RequestBody;
 import org.springframework.web.bind.annotation.RequestMapping;
 import org.springframework.web.bind.annotation.RequestMethod;
 import org.springframework.web.bind.annotation.ResponseBody;
+import org.diagbot.push.convert.PreProcess;
 
 import javax.servlet.http.HttpServletRequest;
 import java.util.*;
@@ -116,11 +121,15 @@ public class AlgorithmController extends BaseController {
     }
 
     public Response<ResponseData> combine(HttpServletRequest request, SearchData searchData) throws Exception {
+        logger.info("开始规则转换......");
+        PreProcess prepro = new PreProcess();
+        searchData = prepro.processClinicalData(searchData);
+        ResponseData RuleResponseData = prepro.applyrules(searchData);
+
         logger.info("开始推送服务......");
         Response<ResponseData> response = new Response();
         AlgorithmCore core = new AlgorithmCore();
-        ResponseData bigDataResponseData = core.algorithm(request, searchData);
-        LisPacsCalculate lisPacsCalculate = new LisPacsCalculate();
+        ResponseData bigDataResponseData = core.algorithm(request, searchData, RuleResponseData);
 
         GraphCalculate graphCalculate = new GraphCalculate();
         ResponseData graphResponseData = graphCalculate.calculate(request, searchData);
@@ -141,37 +150,72 @@ public class AlgorithmController extends BaseController {
             }
             List<FeatureRate> graphFeatureRates = graphResponseData.getDis();
             graphFeatureRates.addAll(disFeatureRates);
-            //大数据推送疾病数据用知识图谱替换
             bigDataResponseData.setDis(graphFeatureRates);
         }
-
+        //归一之前诊断信息
+        bigDataResponseData.setBeforeCombineDis(bigDataResponseData.getDis());
         //推送出的诊断信息作为参数传入知识图谱
         List<FeatureRate> pushDiags = new ArrayList<>();
-        for (FeatureRate fr : bigDataResponseData.getDis()) {
-            pushDiags.add(fr);
-            logger.info("合并知识图谱、大数据后推送的诊断信息....: " + fr.getFeatureName());
-        }
+        pushDiags.addAll(bigDataResponseData.getDis());
         searchData.setPushDiags(pushDiags);
-
         bigDataResponseData.setTreat(graphResponseData.getTreat());
         //量表和指标推送
         List<MedicalIndication> medicalIndications = graphResponseData.getMedicalIndications();
         if (medicalIndications != null && medicalIndications.size() > 0) {
             logger.info("指标推送!!!!!!!!!");
-            bigDataResponseData.setMedicalIndications(medicalIndications);
+           bigDataResponseData.getMedicalIndications().addAll(medicalIndications);
         }
         //推送管理评估
         bigDataResponseData.setManagementEvaluation(graphResponseData.getManagementEvaluation());
         //知识图谱直接替换大数据中的检验检查数据
-//        if(searchData.getDiag() !=null || searchData.getPushDiags() != null){
+        LisPacsCalculate lisPacsCalculate = new LisPacsCalculate();
         graphResponseData = lisPacsCalculate.getLisPacs(request, searchData);
+
         bigDataResponseData.setLabs(graphResponseData.getLabs());
         bigDataResponseData.setPacs(graphResponseData.getPacs());
-//        }
+
+        //体征结果和指标推送
+        Map<String, String> vitalCache = CacheUtil.getVitalCache();
+        List<String> featureList = Arrays.asList(searchData.getFeatureTypes());
+        List<FeatureRate> vitals = graphResponseData.getVitals();
+        if(featureList.contains(Constants.feature_type_vital_index) && this.getVital(vitalCache,vitals).size() > 0){
+            bigDataResponseData.setVitals(this.getVital(vitalCache,vitals));
+
+        }
+        if(featureList.contains(Constants.feature_type_vital) && vitals.size() > 0){
+            bigDataResponseData.setVitals(vitals);
+        }
+
+        //把所有的诊断拿出来经过过滤层过滤
+        ClassifyDiag classifyDiag = new ClassifyDiag();
+        List<FeatureRate> upfes = classifyDiag.filterDiag(graphResponseData, pushDiags);
+        List<FeatureRate> classify = classifyDiag.diagClassify(upfes);
+        List<FeatureRate> featureRates = classifyDiag.sortDiag(classify);
+        bigDataResponseData.setDis(featureRates);
         response.setData(bigDataResponseData);
         return response;
     }
 
+    public List<FeatureRate> getVital(Map<String, String> vitalCache,List<FeatureRate> vitals){
+        Set<String> vitalSet = new LinkedHashSet<>();
+        List<FeatureRate> vitalList = new ArrayList<>();
+        if(vitals != null){
+            for (FeatureRate f:vitals) {
+                String s = vitalCache.get(f.getFeatureName());
+                if(StringUtils.isNotEmpty(s)){
+                    vitalSet.add(s);
+                }
+            }
+        }
+        if(vitalSet != null){
+            for (String vi:vitalSet) {
+                FeatureRate featureRate= new FeatureRate();
+                featureRate.setFeatureName(vi);
+                vitalList.add(featureRate);
+            }
+        }
+        return vitalList;
+    }
     public Response<ResponseData> algorithm(HttpServletRequest request, SearchData searchData) throws Exception {
         Response<ResponseData> response = new Response();
 

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

@@ -0,0 +1,49 @@
+package org.diagbot.push.controller;
+
+import org.diagbot.bigdata.common.ApplicationCacheUtil;
+import org.diagbot.common.push.cache.CacheFileManager;
+import org.diagbot.common.work.ResponseData;
+import org.diagbot.graph.util.CacheUtil;
+import org.diagbot.nlp.util.NlpCache;
+import org.diagbot.pub.api.Response;
+import org.diagbot.pub.web.BaseController;
+import org.springframework.stereotype.Controller;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.ResponseBody;
+
+import javax.servlet.http.HttpServletRequest;
+
+/**
+ * Created by louhr on 2019/8/16.
+ */
+@Controller
+@RequestMapping("/cache_file_manager")
+public class CacheFileManagerController extends BaseController {
+
+    @RequestMapping(value = "/create_file")
+    @ResponseBody
+    public Response<ResponseData> create(HttpServletRequest request) throws Exception {
+        Response<ResponseData> response = new Response<ResponseData>();
+        CacheFileManager cacheFileManager = new CacheFileManager();
+        cacheFileManager.createCacheFile();
+        //自然语言处理缓存更新
+        NlpCache.createSegmentCache();
+        NlpCache.createPushCache();
+        NlpCache.createClassifyCache();
+        NlpCache.createChronicCache();
+        NlpCache.createSynonymCache();
+        //更新图谱缓存
+        CacheUtil.createDiagSortCache();
+        CacheUtil.createSexAgeCache();
+        CacheUtil.createVitalCache();
+        CacheUtil.createDiagClassifyCache();
+        CacheUtil.createDiagClassifyJiCache();
+        CacheUtil.createDiagDepartCache();
+        //更新大数据缓存
+        ApplicationCacheUtil.createDoc_result_mapping_diag_map();
+        ApplicationCacheUtil.createDoc_result_mapping_filter_map();
+        ApplicationCacheUtil.createKl_result_mapping_standword_map();
+        ApplicationCacheUtil.create_rule_filter_map();
+        return response;
+    }
+}

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

@@ -1,8 +1,13 @@
 package org.diagbot.push.controller;
 
+import org.diagbot.nlp.participle.ParticipleUtil;
+import org.diagbot.pub.api.Response;
 import org.diagbot.pub.web.BaseController;
 import org.springframework.stereotype.Controller;
 import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.ResponseBody;
+
+import java.io.IOException;
 
 @Controller
 @RequestMapping("/participle")
@@ -14,4 +19,15 @@ public class ParticipleController extends BaseController {
     public String index() {
         return listView;
     }
+
+    @ResponseBody
+    @RequestMapping("/split_and_highlight")
+    public Response splitAndHighlight(String content) throws IOException {
+        Response response = new Response();
+        long start = System.currentTimeMillis();
+        response.setData(ParticipleUtil.participleAndHighlight(content));
+        long end = System.currentTimeMillis();
+        System.out.println("总耗时:........." + (end - start));
+        return response;
+    }
 }

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

@@ -1,8 +1,14 @@
 package org.diagbot.push.controller;
 
+import org.diagbot.nlp.relation.analyze.StructureAnalyze;
+import org.diagbot.nlp.relation.util.OutputInfo;
+import org.diagbot.pub.api.Response;
 import org.diagbot.pub.web.BaseController;
 import org.springframework.stereotype.Controller;
 import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.ResponseBody;
+
+import java.util.List;
 
 /**
  * @ClassName org.diagbot.push.controller.RelationController
@@ -26,4 +32,17 @@ public class RelationController extends BaseController {
     public String list() {
         return "/pages/label/list.html";
     }
+
+    @RequestMapping({"/extraction"})
+    @ResponseBody
+    public Response extraction(String content) throws Exception {
+        Response response = new Response();
+        response.start();
+//        RelationAnalyze relationAnalyze = new RelationAnalyze();
+//        List<OutputInfo> outputInfos = relationAnalyze.analyze(content, FeatureType.parse("1"));
+        StructureAnalyze structureAnalyze = new StructureAnalyze();
+        List<OutputInfo> outputInfos = structureAnalyze.extract(content);
+        response.setData(outputInfos);
+        return response;
+    }
 }

push-web/src/main/java/org/diagbot/push/convert/PreProcess.java

@@ -0,0 +1,375 @@
+package org.diagbot.push.convert;
+
+import com.alibaba.fastjson.JSONObject;
+import org.diagbot.bigdata.common.ApplicationCacheUtil;
+import org.diagbot.common.javabean.MedicalIndication;
+import org.diagbot.common.javabean.MedicalIndicationDetail;
+import org.diagbot.common.javabean.Rule;
+import org.diagbot.common.work.LisDetail;
+import org.diagbot.common.work.ResponseData;
+import org.diagbot.common.work.SearchData;
+import org.diagbot.nlp.participle.ParticipleUtil;
+import org.diagbot.nlp.participle.word.Lexeme;
+import org.diagbot.nlp.participle.word.LexemePath;
+import org.diagbot.nlp.util.Constants;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+public class PreProcess {
+
+    private static String up = "升高";
+    private static String down = "降低";
+    private static String normal = "正常";
+
+    private static String pos = "阳性";
+    private static String neg = "阴性";
+
+    private List<Map<String, Object>> vitlist = new ArrayList<>();
+    private List<Map<String, Object>> pacslist = new ArrayList<>();
+    private String[] vitkeyset = {"index", "value", "unit"};
+    private String[] bptype = {"血压","收缩压","舒张压","/"};
+
+    /**
+     * 处理临床数据
+     *
+     * @param searchdata
+     * @return ResponseData
+     */
+    public SearchData processClinicalData(SearchData searchdata) {
+        SearchData sData = searchdata;
+
+        sData.setLisArr(processLis(sData.getLisArr()));
+
+        if (sData.getLisArr().size() > 0) {
+            List<String> otherVal = sData.getLisArr().stream().map(lisArr -> lisArr.getOtherValue()).collect(Collectors.toList());
+            sData.setLis(String.join(",", otherVal));
+        }
+
+        return sData;
+    }
+
+    public ResponseData applyrules(SearchData sData) {
+
+        ResponseData ruleResponse = new ResponseData();
+
+        List<MedicalIndication> reminder;
+        try {
+            Map<String, List<Rule>> rule = ApplicationCacheUtil.get_rule_filter_map();
+
+            // 用规则处理化验结果
+            reminder = applytolis(sData.getLisArr(), rule);
+
+            // 用规则处理辅检结果
+            reminder.addAll(applytopacs(sData.getPacs(), rule));
+
+            // 用规则处理体征结果
+            reminder.addAll(applytovital(sData.getVital(), rule));
+
+            ruleResponse.setMedicalIndications(reminder);
+
+        } catch (Exception ex) {
+            ex.printStackTrace();
+        } finally {
+            return ruleResponse;
+        }
+    }
+
+    private List<MedicalIndication> applytolis(List<LisDetail> lisarr, Map<String, List<Rule>> rule) {
+
+        List<MedicalIndication> reminder = new ArrayList<>();
+        try {
+            String name;
+            String detail;
+
+            for (LisDetail lis : lisarr) {
+                detail = lis.getDetailName();
+//                name = lis.getName();
+                String key = detail;
+                if (rule.get(key) != null) {
+                    reminder.addAll(comparelis(rule.get(key), lis));
+                }
+            }
+
+        } catch (Exception ex) {
+            ex.printStackTrace();
+        } finally {
+            return reminder;
+        }
+    }
+
+    private List<MedicalIndication> applytopacs(String pacs, Map<String, List<Rule>> rule) {
+        List<MedicalIndication> reminder = new ArrayList<>();
+
+        try {
+            Set<String> pacsResultList = new HashSet<>();
+            Lexeme lexeme;
+            LexemePath<Lexeme> lexemes = ParticipleUtil.participle(pacs);
+            for (int i = 0; i < lexemes.size(); i++) {
+                lexeme = lexemes.get(i);
+                List<String> propetys = Arrays.asList(lexeme.getProperty().split(","));
+                if (lexeme.getText().trim().length() > 0) {
+                    if(propetys.contains(Constants.word_property_PACS_Result)){
+                        pacsResultList.add(lexeme.getText());
+                    }
+                }
+            }
+            if(pacsResultList.size()>0){
+                for (String pacsResult:pacsResultList) {
+                    if(rule.containsKey(pacsResult)){
+                        List<Rule> rules = rule.get(pacsResult);
+
+                        List<MedicalIndicationDetail> mds = new ArrayList<>();
+                        MedicalIndicationDetail medicalIndicationDetail = new MedicalIndicationDetail();
+                        medicalIndicationDetail.setType(4);
+                        JSONObject jsonObject = new JSONObject();
+                        jsonObject.put("controlType",2);
+                        jsonObject.put("name",pacsResult);
+                        medicalIndicationDetail.setContent(jsonObject);
+                        mds.add(medicalIndicationDetail);
+                        MedicalIndication medicalIndication = new MedicalIndication();
+                        medicalIndication.setName(rules.get(0).getIdx_name()+","+rules.get(0).getRemind());
+                        medicalIndication.setDetails(mds);
+                        reminder.add(medicalIndication);
+                    }
+                }
+            }
+        } catch (Exception ex) {
+            ex.printStackTrace();
+        } finally {
+            return reminder;
+        }
+    }
+
+    private List<MedicalIndication> applytovital(String vital, Map<String, List<Rule>> rule) {
+
+        List<MedicalIndication> reminder = new ArrayList<>();
+
+        try {
+            Map<String, Object> vitobj = new HashMap<>();
+            Lexeme lexeme;
+            LexemePath<Lexeme> lexemes = ParticipleUtil.participle(vital);
+            for (int i=0; i<lexemes.size(); i++) {
+                lexeme = lexemes.get(i);
+                if (lexeme.getText().trim().length() > 0) {
+                    if (lexeme.getProperty().equals(Constants.word_property_vital_idx)) {
+                        vitobj = new HashMap<>();
+                        vitobj.put(vitkeyset[0], lexeme.getText());
+                    } else if (lexeme.getProperty().equals(Constants.word_property_number) &&
+                            vitobj.get(vitkeyset[0]) != null) {
+                        vitobj.put(vitkeyset[1], lexeme.getText());
+                    } else if (lexeme.getProperty().equals(Constants.word_property_unit) &&
+                            vitobj.get(vitkeyset[1]) != null) {
+                        vitobj.put(vitkeyset[2], lexeme.getText());
+
+                        if (vitobj.get(vitkeyset[0]).toString().equals(bptype[0]) &&
+                                vitobj.get(vitkeyset[1]).toString().contains(bptype[3])) {
+                            String[] idx = Arrays.asList(bptype).subList(1,3).toArray(new String[2]);
+                            String[] vals = vitobj.get(vitkeyset[1]).toString().split(bptype[3]);
+                            String unit = vitobj.get(vitkeyset[2]).toString();
+
+                            if (idx.length == vals.length) {
+                                for (int j=0; j<idx.length; j++) {
+                                    vitobj = new HashMap<>();
+                                    vitobj.put(vitkeyset[0], idx[j]);
+                                    vitobj.put(vitkeyset[1], vals[j]);
+                                    vitobj.put(vitkeyset[2], unit);
+                                    vitlist.add(vitobj);
+                                }
+                            }
+                        } else {
+                            vitlist.add(vitobj);
+                        }
+                    }
+                }
+//                System.out.println(lexeme.getText() + ": " + lexeme.getProperty());
+            }
+
+            for (Map<String, Object> obj : vitlist) {
+                String idx = obj.get(vitkeyset[0]).toString();
+                if (rule.get(idx) != null) {
+                    reminder.addAll(comparevit(rule.get(idx), obj));
+                }
+            }
+            System.out.println("\n");
+        } catch (Exception ex) {
+            ex.printStackTrace();
+        } finally {
+            return reminder;
+        }
+    }
+
+
+    private List<MedicalIndication> comparelis(List<Rule> rules, LisDetail lis) {
+        List<MedicalIndication> reminder = new ArrayList<>();
+
+        try {
+            String detailname = lis.getDetailName();
+            Double numval = lis.getValue();
+            String unit = lis.getUnits();
+            String otherval = lis.getOtherValue();
+
+            reminder = compare(rules, reminder, detailname, numval, unit, otherval);
+        } catch (Exception ex) {
+            ex.printStackTrace();
+        } finally {
+            return reminder;
+        }
+    }
+
+    private List<MedicalIndication> comparevit(List<Rule> rules, Map<String, Object> vit) {
+        List<MedicalIndication> reminder = new ArrayList<>();
+
+        try {
+            String detailname = vit.get(vitkeyset[0]).toString();
+            Double numval = Double.valueOf(vit.get(vitkeyset[1]).toString());
+            String unit = vit.get(vitkeyset[2]).toString();
+            String otherval = "";
+
+            reminder = compare(rules, reminder, detailname, numval, unit, otherval);
+        } catch (Exception ex) {
+            ex.printStackTrace();
+        } finally {
+            return reminder;
+        }
+    }
+
+    private List<MedicalIndication> compare(List<Rule> rules, List<MedicalIndication> reminder,
+                                            String detailname, Double numval, String unit, String otherval) {
+        boolean minmatch, maxmatch;
+        Double minval, maxval;
+        String minop, maxop, minunit, maxunit;
+
+        try {
+            if (null == numval && otherval.trim().length() > 0) {
+                for (Rule rule : rules) {
+                    if (rule.getEq_operator().equals("=") && otherval.contains(rule.getEq_value())) {
+                        StringBuffer rulesContent = new StringBuffer();
+                        StringBuffer append = rulesContent.append(rule.getIdx_name()).append(rule.getMin_operator()).append(rule.getMin_value()).append(rule.getMin_unit())
+                                .append(rule.getMax_operator()).append(rule.getMax_value()).append(rule.getMax_unit())
+                                .append(rule.getEq_operator()).append(rule.getEq_value()).append(rule.getEq_unit());
+                        MedicalIndication medind = new MedicalIndication();
+                        List<MedicalIndicationDetail> k = new ArrayList<>();
+                        MedicalIndicationDetail mid = new MedicalIndicationDetail();
+                        JSONObject jsonObject = new JSONObject();
+//                        jsonObject.put("name",detailname + ": " + otherval+ ", " +rule.getRemind());
+                        jsonObject.put("name",append.toString());
+                        jsonObject.put("controlType",2);
+                        mid.setType(4);
+                        mid.setContent(jsonObject);
+                        k.add(mid);
+                        medind.setName(rule.getRemind());
+                        medind.setDetails(k);
+                        medind.setRule(append.toString());
+                        reminder.add(medind);
+
+                        System.out.println(medind.getRule() + " -> " + medind.getName());
+                    }
+                }
+            } else if (String.valueOf(numval).trim().length() > 0 && unit.length() > 0){
+                for (Rule rule : rules) {
+                    minmatch = maxmatch = false;
+                    minval = (rule.getMin_value().length()==0)?0:Double.valueOf(rule.getMin_value());
+                    maxval = (rule.getMax_value().length()==0)?0:Double.valueOf(rule.getMax_value());
+                    minunit = rule.getMin_unit();
+                    maxunit = rule.getMax_unit();
+                    minop = rule.getMin_operator();
+                    maxop = rule.getMax_operator();
+
+                    if ( String.valueOf(minval).trim().length() > 0) {
+                        if (minunit.equals(unit) ) {
+                            switch (minop) {
+                                case ">":
+                                    if (numval > minval) { minmatch = true; }
+                                    break;
+                                case ">=":
+                                    if (numval >= minval) { minmatch = true; }
+                                    break;
+                            }
+                        } else { minmatch = false; }
+                    } else { minmatch = false; }
+
+                    if (String.valueOf(maxval).trim().length() > 0 ) {
+                        if (maxunit.equals(unit) ) {
+                            switch (maxop) {
+                                case "<":
+                                    if (numval < maxval) {
+                                        maxmatch = true;
+                                    }
+                                    break;
+                                case "<=":
+                                    if (numval <= maxval) {
+                                        maxmatch = true;
+                                    }
+                                    break;
+                            }
+                        } else { maxmatch = false; }
+                    } else { maxmatch = false; }
+
+                    if (minmatch  || maxmatch) {
+                        StringBuffer rulesContent = new StringBuffer();
+                        StringBuffer append = rulesContent.append(rule.getIdx_name()).append(rule.getMin_operator()).append(rule.getMin_value()).append(rule.getMin_unit())
+                                .append(rule.getMax_operator()).append(rule.getMax_value()).append(rule.getMax_unit());
+
+                        MedicalIndication medind = new MedicalIndication();
+                        List<MedicalIndicationDetail> k = new ArrayList<>();
+                        MedicalIndicationDetail mid = new MedicalIndicationDetail();
+                        JSONObject jsonObject = new JSONObject();
+//                        jsonObject.put("name",detailname + ": " + numval + " " + unit+ "," +rule.getRemind());
+                        jsonObject.put("name", append.toString());
+                        jsonObject.put("controlType",2);
+                        mid.setType(4);
+                        mid.setContent(jsonObject);
+                        k.add(mid);
+                        medind.setName(rule.getRemind());
+                        medind.setDetails(k);
+                        medind.setRule(append.toString());
+                        reminder.add(medind);
+
+                        System.out.println(medind.getRule() + " -> " + medind.getName());
+                    }
+                }
+            }
+
+        } catch (Exception ex) {
+            ex.printStackTrace();
+        } finally {
+            return reminder;
+        }
+    }
+
+    private List<LisDetail> processLis(List<LisDetail> lisArr) {
+        if (lisArr == null) {
+            return new ArrayList<>();
+        }
+        if (lisArr.size() == 0) {
+            return lisArr;
+        }
+
+        String Otherval = "";
+
+        for (int i = 0; i < lisArr.size(); i++) {
+            LisDetail lisres = lisArr.get(i);
+
+//            Otherval = (lisres.getOtherValue().trim().length() > 0) ? lisres.getOtherValue().trim() + "\n" : "";
+            Otherval = lisres.getOtherValue();
+
+            if (Otherval.indexOf(pos) >= 0 || Otherval.indexOf(neg) >= 0) {
+                lisres.setOtherValue(lisres.getDetailName() + Otherval);
+            } else {
+                Otherval = (Otherval.trim().length() > 0) ? Otherval.trim() + "\n" : "";
+                if (lisres.getValue() == null) {
+                    continue;
+                } else if (lisres.getMaxValue() != null && lisres.getValue() > lisres.getMaxValue()) {
+                    lisres.setOtherValue(Otherval + lisres.getDetailName() + up);
+                } else if (lisres.getMinValue() != null && lisres.getValue() < lisres.getMinValue()) {
+                    lisres.setOtherValue(Otherval + lisres.getDetailName() + down);
+                } else {
+                    lisres.setOtherValue(Otherval + lisres.getDetailName() + normal);
+                }
+            }
+        }
+
+        return lisArr;
+    }
+}

push-web/src/main/resources/application.yml

@@ -12,7 +12,7 @@ spring:
       charset: UTF-8
       enabled: true
   datasource:       # mybatis 配置，使用druid数据源
-      url: jdbc:mysql://192.1.3.116:3306/bigdata-web?useUnicode=true&characterEncoding=UTF-8
+      url: jdbc:mysql://1.1.1.1:3306/bigdata-web?useUnicode=true&characterEncoding=UTF-8
       username: root
       password: langtong
       type: com.alibaba.druid.pool.DruidDataSource

push-web/src/main/resources/static/pages/algorithm/list.html

@@ -181,6 +181,31 @@
                     <!-- /.box -->
                 </div>
 
+                <div class="col-xs-4">
+                    <div class="box">
+                        <div class="box-header">
+                            <h3 class="box-title">归一前诊断信息</h3>&nbsp;&nbsp;<label id="before_combine_participle_diag"></label>
+                        </div>
+                        <!-- /.box-header -->
+                        <div class="box-body">
+                            <table id="before_combine_diag_list" class="table table-bordered table-striped">
+                                <thead>
+                                <tr>
+                                    <th>diag</th>
+                                    <th>dept</th>
+                                    <th>rate</th>
+                                </tr>
+                                </thead>
+                                <tbody>
+
+                                </tbody>
+                            </table>
+                        </div>
+                        <!-- /.box-body -->
+                    </div>
+                    <!-- /.box -->
+                </div>
+
                 <div class="col-xs-4">
                     <div class="box">
                         <div class="box-header">
@@ -206,6 +231,14 @@
                 </div>
                 <!-- /.col -->
 
+
+
+
+
+            </div>
+            <!-- /.row -->
+
+            <div class="row">
                 <div class="col-xs-4">
                     <div class="box">
                         <div class="box-header">
@@ -231,12 +264,6 @@
                 </div>
                 <!-- /.col -->
 
-
-
-            </div>
-            <!-- /.row -->
-
-            <div class="row">
                 <div class="col-xs-4">
                     <div class="box">
                         <div class="box-header">
@@ -367,18 +394,20 @@
         var symptom = $("#symptom").val();
         if (diag != '' && symptom == '') {
             $('#diag_list').html("");
+            $('#before_combine_diag_list').html("");
             startDiag('/algorithm/page_neural', '#symptom_list', '1', resourceType, '111', '1');
-            startDiag('/algorithm/page_neural', '#vital_list', '3', resourceType, '131', '3');
-            startDiag('/algorithm/page_neural', '#lis_list', '4', resourceType, '141', '4');
-            startDiag('/algorithm/page_neural', '#pacs_list', '5', resourceType, '151', '5');
+            startDiag('/algorithm/page_neural', '#vital_list', '3,2,7', resourceType, '131', '3');
+            startDiag('/algorithm/page_neural', '#lis_list', '4,2,7', resourceType, '141', '4');
+            startDiag('/algorithm/page_neural', '#pacs_list', '5,2,7', resourceType, '151', '5');
 
         } else {
             startDiag('/algorithm/page_neural', '#symptom_list', '1', resourceType, '11', '1');
-            startDiag('/algorithm/page_neural', '#vital_list', '3', resourceType, '31', '3');
-            startDiag('/algorithm/page_neural', '#lis_list', '4', resourceType, '41', '4');
-            startDiag('/algorithm/page_neural', '#pacs_list', '5', resourceType, '51', '5');
+            startDiag('/algorithm/page_neural', '#vital_list', '3,2,7', resourceType, '31', '3');
+            startDiag('/algorithm/page_neural', '#lis_list', '4,2,7', resourceType, '41', '4');
+            startDiag('/algorithm/page_neural', '#pacs_list', '5,2,7', resourceType, '51', '5');
 
             startDiagMapping('/algorithm/page_neural', '#diag_list', '2', resourceType, '21', '2');
+            startDiagMapping('/algorithm/page_neural', '#before_combine_diag_list', '2', resourceType, '21', '6');
         }
     }
 
@@ -485,7 +514,10 @@
                         $("#participle_pacs").html(json.data.participleSymptom);
                         json.data = json.data.pacs;
                     }
-
+                    if (tp == '6') {
+                        $("#before_combine_participle_diag").html(json.data.participleSymptom);
+                        json.data = json.data.beforeCombineDis;
+                    }
                     return json.data;
                 }
             }
@@ -601,7 +633,10 @@
                         $("#participle_pacs").html(json.data.participleSymptom);
                         json.data = json.data.pacs;
                     }
-
+                    if (tp == '6') {
+                        $("#before_combine_participle_diag").html(json.data.participleSymptom);
+                        json.data = json.data.beforeCombineDis;
+                    }
                     return json.data;
                 }
             }

push-web/src/main/resources/static/pages/extract/feature.html

@@ -99,7 +99,7 @@
                     <input type="checkbox" name="featureType" value="4"/>检验&nbsp;&nbsp;
                     <input type="checkbox" name="featureType" value="5"/>检查&nbsp;&nbsp;
                     <input type="checkbox" name="featureType" value="9"/>特征&nbsp;&nbsp;
-
+                    <input type="checkbox" name="featureType" value="10"/>时间&nbsp;&nbsp;
                     <button type="button" class="btn btn-success pull-right" onclick="_ajax('/feature/generate')"><i
                             class="fa fa-credit-card"></i> 提取
                     </button>

push-web/src/main/resources/static/pages/relation/sample.html

@@ -343,7 +343,7 @@
                 function _ajax(url) {
                     $.support.cors = true;
                     $.ajax({
-                        url: nlp_web_url + '/participle/split_and_highlight',
+                        url: push_web_url + '/participle/split_and_highlight',
                         data: $("#participle_form").serialize(),
                         dataType: "json",
                         type: "post",
@@ -353,7 +353,7 @@
                     });
 
                     $.ajax({
-                        url: nlp_web_url + url,
+                        url: push_web_url + url,
                         data: $("#participle_form").serialize(),
                         dataType: "json",
                         type: "post",