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+package com.lantone.qc.kernel.catalogue.threelevelward;
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+
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+import com.google.common.collect.ImmutableMap;
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+import com.lantone.qc.kernel.catalogue.QCCatalogue;
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+import com.lantone.qc.pub.model.InputInfo;
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+import com.lantone.qc.pub.model.OutputInfo;
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+import com.lantone.qc.pub.model.doc.DoctorAdviceDoc;
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+import com.lantone.qc.pub.model.doc.LisDoc;
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+import com.lantone.qc.pub.util.StringUtil;
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+import org.springframework.stereotype.Component;
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+
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+import java.util.HashMap;
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+import java.util.HashSet;
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+import java.util.List;
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+import java.util.Map;
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+import java.util.Set;
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+import java.util.regex.Matcher;
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+import java.util.regex.Pattern;
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+import java.util.stream.Collectors;
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+
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+/**
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+ * @ClassName : THR03044
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+ * @Description : 抗生素使用指征不明确
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+ * @Author : kwz
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+ * @Date: 2020-07-23 14:16
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+ */
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+@Component
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+public class THR03044 extends QCCatalogue {
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+ public static Map<String, String> lisData = ImmutableMap.<String, String>builder()
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+ .put("超敏C反应蛋白", ">10")
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+ .put("降钙素CT(免疫)", ">0.25")
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+ .put("尿=白细胞", ">13.2")
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+ //.put("白细胞计数[电阻抗法]", "<0.4")
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+ //.put("中性粒细胞绝对值", ">12")
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+ //.put("中性粒细胞百分率", ">70%")
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+ .put("血培养报阳时间", "")
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+ // .put("尿培养加菌落计数", "细菌生长")
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+ .put("一般细菌涂片检查", "细菌生长")
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+ // .put("内毒素鲎定性试验", "阳性")
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+ // .put("常规药敏定性试验", "阳性")
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+ // .put("细菌抗体测定", "阳性")
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+ .put("碱性磷酸酶[速率法]", ">80")
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+ .put("血沉", ">25")
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+ // .put("肥达氏反应", "大于等于1:160")
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+ // .put("外斐氏反应", "大于等于:160")
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+ .put("粪=白细胞", ">2")
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+ // .put("前列腺液白细胞", "大于1个/高位视野")
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+ .put("胸水常规=白细胞", ">500")
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+ .put("G+球菌:痰夜", "少,中等,多,偶见")
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+ .put("G-球菌:痰夜", "少,中等,多,偶见")
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+ .put("G+杆菌:痰夜", "少,中等,多,偶见")
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+ .put("G-杆菌:痰夜", "少,中等,多,偶见")
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+ .build();
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+
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+ public static Map<String, String> lisGroupData = ImmutableMap.<String, String>builder()
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+ .put("白细胞计数[电阻抗法]", "<0.4")
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+ .put("中性粒细胞绝对数", ">12")
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+ .put("中性粒百分数", ">70")
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+ .build();
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+
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+ public void start(InputInfo inputInfo, OutputInfo outputInfo) {
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+ status.set("0");
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+ List<DoctorAdviceDoc> doctorAdviceDocs = inputInfo.getDoctorAdviceDocs();
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+ List<LisDoc> lisDocs = inputInfo.getLisDocs();
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+
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+ if (doctorAdviceDocs.size() == 0 || lisDocs.size() == 0) {
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+ return;
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+ }
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+
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+ Set<String> antibiotics = doctorAdviceDocs
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+ .stream()
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+ .map(x -> x.getStructureMap().get("药品类型"))
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+ .filter(x -> StringUtil.isNotBlank(x) && x.contains("抗生素"))
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+ .collect(Collectors.toSet());
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+
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+ if (antibiotics.size() == 0) {
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+ return;
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+ }
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+
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+ Map<String, String> lises = new HashMap<>();
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+ Map<String, String> lisReportMap = new HashMap<>();
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+
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+ for (LisDoc lisDoc : lisDocs) {
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+ Map<String, String> lisDocStructureMap = lisDoc.getStructureMap();
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+ String lisName = lisDocStructureMap.get("报告名称").trim();
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+ String result = lisDocStructureMap.get("检验结果");
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+ lisReportMap.put(lisName, result);
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+ if (lisName.contains("=")) {
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+ lises.put(lisName.split("=")[1], result);
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+ } else {
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+ lises.put(lisName, result);
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+ }
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+ }
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+
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+
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+ /**
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+ * 白细胞组合项单独处理
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+ */
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+ if (lises.containsKey("白细胞计数[电阻抗法]")) {
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+ String wbcValue = lisGroupData.get("白细胞计数[电阻抗法]");
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+ String wbc = lises.get("白细胞计数[电阻抗法]");
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+ if (!compare(wbc, wbcValue)) {
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+ status.set("-1");
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+ return;
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+ }
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+ if (lises.containsKey("中性粒细胞绝对数")) {
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+ String neutrophilValue = lisGroupData.get("中性粒细胞绝对数");
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+ String neutrophil = lises.get("中性粒细胞绝对数");
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+ if (!compare(neutrophil, neutrophilValue)) {
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+ status.set("-1");
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+ return;
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+ }
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+ } else if (lises.containsKey("中性粒百分数")) {
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+ String neutrophilValue = lisGroupData.get("中性粒百分数");
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+ String neutrophil = lises.get("中性粒百分数");
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+ if (!compare(neutrophil, neutrophilValue)) {
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+ status.set("-1");
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+ return;
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+ }
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+ }
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+ }
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+
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+ //如果这个病例的化验项目不在lisData，不报
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+ Set<String> dataLises = lisData.keySet();
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+ Set<String> collect = new HashSet<>();
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+ for (String dataLis : dataLises) {
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+ if (dataLis.contains("=")) {
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+ collect.add(dataLis.split("=")[1]);
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+ } else {
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+ collect.add(dataLis);
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+ }
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+ }
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+ collect.retainAll(lises.keySet());
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+ if (collect.size() == 0) {
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+ return;
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+ }
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+
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+ String[] lisNameMapSub = null;
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+ String[] lisNameSub = null;
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+ String lisMapKey = null, lisMapValue = null, lisKey = null, lisValue = null;
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+ for (Map.Entry<String, String> lisDataMap : lisData.entrySet()) {
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+ String lisName = lisDataMap.getKey();
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+ String lisResult = lisDataMap.getValue();
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+ if (lisName.contains("=")) {
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+ lisNameMapSub = lisName.split("=");
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+ }
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+ if (lisNameMapSub != null) {
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+ lisMapKey = lisNameMapSub[0]; //静态map(lisData)的key根据=分隔，得到的key，如尿=白细胞，lisMapKey=尿
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+ lisMapValue = lisNameMapSub[1];//静态map(lisData)的key根据=分隔，得到的value，如尿=白细胞，lisMapValue=白细胞
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+ } else {
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+ lisMapValue = lisName;//若静态map(lisData)的key没有=，直接用key作为分隔后的value，如超敏C反应蛋白，lisMapValue=超敏C反应蛋白
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+ }
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+ for (Map.Entry<String, String> lis : lisReportMap.entrySet()) {
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+ String lisname = lis.getKey();
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+ String result = lis.getValue();
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+ lisNameSub = lisname.split("=");
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+ lisKey = lisNameSub[0];//库中化验表map的key根据=分隔，得到的key，如尿=白细胞，lisMapKey=尿
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+ lisValue = lisNameSub[1];
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+ if (StringUtil.isBlank(lisMapKey) && lisMapValue.equals(lisValue)) {
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+ if (!compare(result, lisResult)) {
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+ status.set("-1");
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+ return;
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+ }
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+ }
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+ if (StringUtil.isNotBlank(lisMapKey) && lisMapKey.contains(lisKey) && lisMapValue.equals(lisValue)) {
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+ if (!compare(result, lisResult)) {
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+ status.set("-1");
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+ return;
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+ }
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+ }
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+ }
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+ }
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+
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+ }
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+
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+ /**
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+ * 比对化验表数据与lisData中数据大小，若符合则返回true
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+ *
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+ * @param result
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+ * @param value
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+ * @return
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+ */
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+ private boolean compare(String result, String value) {
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+ boolean flag = false;
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+ String s = num_method(value);
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+ String resultValue = num_method(result);
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+ if (num_contain(resultValue) && num_contain(s)) {
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+ if (Float.parseFloat(resultValue) > Float.parseFloat(s) && value.contains(">")) {
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+ flag = true;
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+ }
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+ if (Float.parseFloat(resultValue) < Float.parseFloat(s) && value.contains("<")) {
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+ flag = true;
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+ }
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+ } else {
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+ if (s.contains(result)) {
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+ flag = true;
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+ }
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+ }
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+ return flag;
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+ }
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+
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+ public String num_method(String content) {
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+ // String compile = "(\\d+\\.\\d+)|(\\d+)";
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+ String group = "";
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+ String compile = "([1-9]\\d*\\.?\\d*)|(0\\.\\d*[1-9])";
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+ Pattern p = Pattern.compile(compile);
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+ Matcher matcher = p.matcher(content);
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+ if (matcher.find()) {
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+ group = matcher.group(0);
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+ }
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+ return group;
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+ }
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+
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+ public Boolean num_contain(String content) {
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+ // String compile = "(\\d+\\.\\d+)|(\\d+)";
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+ String compile = "(\\d+)";
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+ Pattern p = Pattern.compile(compile);
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+ Matcher matcher = p.matcher(content);
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+ boolean b = matcher.find();
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+ return b;
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+ }
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+}
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hujing