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7fd198	1	package com.iailab.module.model.mdk.predict.impl;
潘	2
	3	import com.alibaba.fastjson.JSONArray;
	4	import com.alibaba.fastjson.JSONObject;
	5	import com.iail.model.IAILModel;
4f1717	6	import com.iailab.module.model.common.enums.CommonConstant;
373ab1	7	import com.iailab.module.model.common.enums.OutResultType;
69bd5e	8	import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity;
7fd198	9	import com.iailab.module.model.mcs.pre.entity.MmModelArithSettingsEntity;
潘	10	import com.iailab.module.model.mcs.pre.entity.MmPredictModelEntity;
69bd5e	11	import com.iailab.module.model.mcs.pre.service.MmItemOutputService;
7fd198	12	import com.iailab.module.model.mcs.pre.service.MmModelArithSettingsService;
潘	13	import com.iailab.module.model.mdk.common.enums.TypeA;
	14	import com.iailab.module.model.mdk.common.exceptions.ModelInvokeException;
	15	import com.iailab.module.model.mdk.predict.PredictModelHandler;
	16	import com.iailab.module.model.mdk.sample.SampleConstructor;
	17	import com.iailab.module.model.mdk.sample.dto.SampleData;
	18	import com.iailab.module.model.mdk.vo.PredictResultVO;
45520a	19	import com.iailab.module.model.mpk.common.MdkConstant;
1a2b62	20	import com.iailab.module.model.mpk.common.utils.DllUtils;
7fd198	21	import lombok.extern.slf4j.Slf4j;
潘	22	import org.springframework.beans.factory.annotation.Autowired;
	23	import org.springframework.stereotype.Component;
	24
45520a	25	import java.util.Date;
D	26	import java.util.HashMap;
	27	import java.util.List;
	28	import java.util.Map;
7fd198	29
潘	30	/**
	31	* @author PanZhibao
	32	* @Description
	33	* @createTime 2024年09月01日
	34	*/
	35	@Slf4j
	36	@Component
	37	public class PredictModelHandlerImpl implements PredictModelHandler {
	38
	39	@Autowired
	40	private MmModelArithSettingsService mmModelArithSettingsService;
	41
	42	@Autowired
69bd5e	43	private MmItemOutputService mmItemOutputService;
7fd198	44
潘	45	@Autowired
	46	private SampleConstructor sampleConstructor;
	47
4f1717	48	/**
潘	49	* 根据模型预测,返回预测结果
	50	*
	51	* @param predictTime
	52	* @param predictModel
	53	* @return
	54	* @throws ModelInvokeException
	55	*/
7fd198	56	@Override
4f1717	57	public synchronized PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel) throws ModelInvokeException {
7fd198	58	PredictResultVO result = new PredictResultVO();
潘	59	if (predictModel == null) {
	60	throw new ModelInvokeException("modelEntity is null");
	61	}
	62	String modelId = predictModel.getId();
	63	try {
	64	List<SampleData> sampleDataList = sampleConstructor.constructSample(TypeA.Predict.name(), modelId, predictTime);
	65	String modelPath = predictModel.getModelpath();
	66	if (modelPath == null) {
373ab1	67	log.info("模型路径不存在，modelId=" + modelId);
7fd198	68	return null;
潘	69	}
	70	IAILModel newModelBean = composeNewModelBean(predictModel);
	71	HashMap<String, Object> settings = getPredictSettingsByModelId(modelId);
45520a	72	// 校验setting必须有pyFile，否则可能导致程序崩溃
D	73	if (!settings.containsKey(MdkConstant.PY_FILE_KEY)) {
	74	throw new RuntimeException("模型设置参数缺少必要信息【" + MdkConstant.PY_FILE_KEY + "】,请重新上传模型！");
	75	}
	76
7fd198	77	if (settings == null) {
潘	78	log.error("模型setting不存在，modelId=" + modelId);
	79	return null;
	80	}
	81	int portLength = sampleDataList.size();
	82	Object[] param2Values = new Object[portLength + 2];
	83	for (int i = 0; i < portLength; i++) {
4f1717	84	param2Values[i] = sampleDataList.get(i).getMatrix();
7fd198	85	}
潘	86	param2Values[portLength] = newModelBean.getDataMap().get("models");
4f1717	87	param2Values[portLength + 1] = settings;
7fd198	88
b82ba2	89	log.info("####################### 预测模型 "+ "【itemId:" + predictModel.getItemid() + ",modelName" + predictModel.getMethodname() + "】 ##########################");
D	90	// JSONObject jsonObjNewModelBean = new JSONObject();
	91	// jsonObjNewModelBean.put("newModelBean", newModelBean);
	92	// log.info(String.valueOf(jsonObjNewModelBean));
	93	// JSONObject jsonObjParam2Values = new JSONObject();
	94	// jsonObjParam2Values.put("param2Values", param2Values);
	95	// log.info(String.valueOf(jsonObjParam2Values));
7fd198	96
潘	97	//IAILMDK.run
1a2b62	98	HashMap<String, Object> modelResult = DllUtils.run(newModelBean, param2Values, predictModel.getMpkprojectid());
4f1717	99	if (!modelResult.containsKey(CommonConstant.MDK_STATUS_CODE) \|\| !modelResult.containsKey(CommonConstant.MDK_RESULT) \|\|
潘	100	!modelResult.get(CommonConstant.MDK_STATUS_CODE).toString().equals(CommonConstant.MDK_STATUS_100)) {
b2aca2	101	throw new RuntimeException("模型结果异常：" + modelResult);
D	102	}
4f1717	103	modelResult = (HashMap<String, Object>) modelResult.get(CommonConstant.MDK_RESULT);
7fd198	104	//打印结果
b82ba2	105	log.info("预测模型计算完成：modelId=" + modelId + ",modelName" + predictModel.getMethodname());
7fd198	106	JSONObject jsonObjResult = new JSONObject();
1a2b62	107	jsonObjResult.put("result", modelResult);
7fd198	108	log.info(String.valueOf(jsonObjResult));
潘	109
373ab1	110	List<MmItemOutputEntity> itemOutputList = mmItemOutputService.getByItemid(predictModel.getItemid());
潘	111	Map<MmItemOutputEntity, double[]> predictMatrixs = new HashMap<>(itemOutputList.size());
	112	for (MmItemOutputEntity output : itemOutputList) {
	113	if (!modelResult.containsKey(output.getResultstr())) {
	114	continue;
	115	}
	116	OutResultType outResultType = OutResultType.getEumByCode(output.getResultType());
	117	switch (outResultType) {
	118	case D1:
	119	double[] temp1 = (double[]) modelResult.get(output.getResultstr());
	120	predictMatrixs.put(output, temp1);
	121	break;
	122	case D2:
	123	double[][] temp2 = (double[][]) modelResult.get(output.getResultstr());
	124	double[] tempColumn = new double[temp2.length];
	125	for (int i = 0; i < tempColumn.length; i++) {
	126	tempColumn[i] = temp2[i][output.getResultIndex()];
69bd5e	127	}
373ab1	128	predictMatrixs.put(output, tempColumn);
潘	129	break;
	130	default:
	131	break;
1a2b62	132	}
D	133	}
69bd5e	134	result.setPredictMatrixs(predictMatrixs);
1a2b62	135	result.setModelResult(modelResult);
7fd198	136	result.setPredictTime(predictTime);
潘	137	} catch (Exception ex) {
4f1717	138	log.error("调用发生异常，异常信息为:{}", ex);
7fd198	139	ex.printStackTrace();
ead005	140	throw new ModelInvokeException(ex.getMessage());
7fd198	141	}
潘	142	return result;
	143	}
	144
	145	/**
	146	* 构造IAILMDK.run()方法的newModelBean参数
	147	*
	148	* @param predictModel
	149	* @return
	150	*/
	151	private IAILModel composeNewModelBean(MmPredictModelEntity predictModel) {
	152	IAILModel newModelBean = new IAILModel();
	153	newModelBean.setClassName(predictModel.getClassname().trim());
	154	newModelBean.setMethodName(predictModel.getMethodname().trim());
	155	//构造参数类型
	156	String[] paArStr = predictModel.getModelparamstructure().trim().split(",");
	157	Class<?>[] paramsArray = new Class[paArStr.length];
	158	for (int i = 0; i < paArStr.length; i++) {
	159	if ("[[D".equals(paArStr[i])) {
	160	paramsArray[i] = double[][].class;
	161	} else if ("Map".equals(paArStr[i]) \|\| "java.util.HashMap".equals(paArStr[i])) {
	162	paramsArray[i] = HashMap.class;
	163	}
	164	}
	165	newModelBean.setParamsArray(paramsArray);
	166	HashMap<String, Object> dataMap = new HashMap<>();
	167	HashMap<String, String> models = new HashMap<>(1);
b2aca2	168	models.put("model_path", predictModel.getModelpath());
7fd198	169	dataMap.put("models", models);
潘	170	newModelBean.setDataMap(dataMap);
	171	return newModelBean;
	172	}
	173
	174	/**
	175	* 根据模型id获取参数map
	176	*
	177	* @param modelId
	178	* @return
	179	*/
	180	private HashMap<String, Object> getPredictSettingsByModelId(String modelId) {
	181	List<MmModelArithSettingsEntity> list = mmModelArithSettingsService.getByModelId(modelId);
	182	HashMap<String, Object> result = new HashMap<>();
	183	for (MmModelArithSettingsEntity entry : list) {
	184	String valueType = entry.getValuetype().trim(); //去除两端空格
	185	if ("int".equals(valueType)) {
	186	int value = Integer.parseInt(entry.getValue());
	187	result.put(entry.getKey(), value);
	188	} else if ("double".equals(valueType)) {
	189	double value = Double.parseDouble(entry.getValue());
	190	result.put(entry.getKey(), value);
	191	} else if ("string".equals(valueType)) {
	192	String value = entry.getValue();
	193	result.put(entry.getKey(), value);
	194	} else if ("decimalArray".equals(valueType)) {
	195	JSONArray valueArray = JSONArray.parseArray(entry.getValue());
	196	double[] value = new double[valueArray.size()];
	197	for (int i = 0; i < valueArray.size(); i++) {
	198	value[i] = Double.parseDouble(valueArray.get(i).toString());
	199	}
	200	result.put(entry.getKey(), value);
	201	} else if ("decimal".equals(valueType)) {
	202	double value = Double.parseDouble(entry.getValue());
	203	result.put(entry.getKey(), value);
	204	}
	205	}
	206	return result;
	207	}
	208	}