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2024-11-12 69bd5efa5e2849a560e604d0aa608d5492113915

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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.IAILMDK;
	6	import com.iail.model.IAILModel;
69bd5e	7	import com.iailab.module.model.mcs.pre.controller.admin.MmItemOutputController;
D	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.MmModelResultstrEntity;
	11	import com.iailab.module.model.mcs.pre.entity.MmPredictModelEntity;
69bd5e	12	import com.iailab.module.model.mcs.pre.service.MmItemOutputService;
7fd198	13	import com.iailab.module.model.mcs.pre.service.MmModelArithSettingsService;
潘	14	import com.iailab.module.model.mcs.pre.service.MmModelResultstrService;
	15	import com.iailab.module.model.mdk.common.enums.TypeA;
	16	import com.iailab.module.model.mdk.common.exceptions.ModelInvokeException;
	17	import com.iailab.module.model.mdk.predict.PredictModelHandler;
	18	import com.iailab.module.model.mdk.sample.SampleConstructor;
	19	import com.iailab.module.model.mdk.sample.dto.SampleData;
	20	import com.iailab.module.model.mdk.vo.PredictResultVO;
1a2b62	21	import com.iailab.module.model.mpk.common.utils.DllUtils;
7fd198	22	import lombok.extern.slf4j.Slf4j;
潘	23	import org.springframework.beans.factory.annotation.Autowired;
69bd5e	24	import org.springframework.security.core.parameters.P;
7fd198	25	import org.springframework.stereotype.Component;
潘	26
69bd5e	27	import java.util.*;
7fd198	28
潘	29	/**
	30	* @author PanZhibao
	31	* @Description
	32	* @createTime 2024年09月01日
	33	*/
	34	@Slf4j
	35	@Component
	36	public class PredictModelHandlerImpl implements PredictModelHandler {
	37
	38	@Autowired
	39	private MmModelArithSettingsService mmModelArithSettingsService;
	40
	41	@Autowired
	42	private MmModelResultstrService mmModelResultstrService;
69bd5e	43	@Autowired
D	44	private MmItemOutputService mmItemOutputService;
7fd198	45
潘	46	@Autowired
	47	private SampleConstructor sampleConstructor;
	48
	49	@Override
	50	public PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel) throws ModelInvokeException {
	51	PredictResultVO result = new PredictResultVO();
	52	if (predictModel == null) {
	53	throw new ModelInvokeException("modelEntity is null");
	54	}
	55	String modelId = predictModel.getId();
	56
	57	try {
	58	List<SampleData> sampleDataList = sampleConstructor.constructSample(TypeA.Predict.name(), modelId, predictTime);
	59	String modelPath = predictModel.getModelpath();
	60	if (modelPath == null) {
	61	System.out.println("模型路径不存在，modelId=" + modelId);
	62	return null;
	63	}
	64	IAILModel newModelBean = composeNewModelBean(predictModel);
	65	HashMap<String, Object> settings = getPredictSettingsByModelId(modelId);
	66	if (settings == null) {
	67	log.error("模型setting不存在，modelId=" + modelId);
	68	return null;
	69	}
	70	int portLength = sampleDataList.size();
	71	Object[] param2Values = new Object[portLength + 2];
	72	for (int i = 0; i < portLength; i++) {
	73	param2Values[i]=sampleDataList.get(i).getMatrix();
	74	}
	75	param2Values[portLength] = newModelBean.getDataMap().get("models");
	76	param2Values[portLength+1] = settings;
	77
	78	log.info("#######################预测模型 " + predictModel.getItemid() + " ##########################");
	79	JSONObject jsonObjNewModelBean = new JSONObject();
	80	jsonObjNewModelBean.put("newModelBean", newModelBean);
	81	log.info(String.valueOf(jsonObjNewModelBean));
	82	JSONObject jsonObjParam2Values = new JSONObject();
	83	jsonObjParam2Values.put("param2Values", param2Values);
	84	log.info(String.valueOf(jsonObjParam2Values));
	85
	86	//IAILMDK.run
1a2b62	87	// HashMap<String, Object> modelResult = IAILMDK.run(newModelBean, param2Values);
D	88	HashMap<String, Object> modelResult = DllUtils.run(newModelBean, param2Values, predictModel.getMpkprojectid());
b2aca2	89	if(!modelResult.containsKey("status_code") \|\| !modelResult.containsKey("result") \|\| Integer.parseInt(modelResult.get("status_code").toString()) != 100) {
D	90	throw new RuntimeException("模型结果异常：" + modelResult);
	91	}
	92
	93	modelResult = (HashMap<String, Object>) modelResult.get("result");
7fd198	94	//打印结果
潘	95	JSONObject jsonObjResult = new JSONObject();
1a2b62	96	jsonObjResult.put("result", modelResult);
7fd198	97	log.info(String.valueOf(jsonObjResult));
潘	98
69bd5e	99	List<MmItemOutputEntity> ItemOutputList = mmItemOutputService.getByItemid(predictModel.getItemid());
D	100	log.info("模型计算完成：modelId=" + modelId + modelResult);
	101
	102	Map<MmItemOutputEntity,double[]> predictMatrixs = new HashMap<>(ItemOutputList.size());
	103
	104	for (MmItemOutputEntity outputEntity : ItemOutputList) {
	105	String resultStr = outputEntity.getResultstr();
	106	if (modelResult.containsKey(resultStr)) {
	107	if (outputEntity.getResultType() == 1) {
	108	// 一维数组
	109	Double[] temp = (Double[]) modelResult.get(resultStr);
	110	double[] temp1 = new double[temp.length];
	111	for (int i = 0; i < temp.length; i++) {
	112	temp1[i] = temp[i].doubleValue();
	113	}
	114	predictMatrixs.put(outputEntity,temp1);
	115	}else if (outputEntity.getResultType() == 2) {
	116	// 二维数组
	117	Double[][] temp = (Double[][]) modelResult.get(resultStr);
	118	Double[] temp2 = temp[outputEntity.getResultIndex()];
	119	double[] temp1 = new double[temp2.length];
	120	for (int i = 0; i < temp2.length; i++) {
	121	temp1[i] = temp2[i].doubleValue();
	122	}
	123	predictMatrixs.put(outputEntity,temp1);
1a2b62	124	}
D	125	}
	126	}
69bd5e	127
D	128	result.setPredictMatrixs(predictMatrixs);
1a2b62	129	result.setModelResult(modelResult);
7fd198	130	result.setPredictTime(predictTime);
潘	131	} catch (Exception ex) {
	132	log.error("IAILModel对象构造失败，modelId=" + modelId);
	133	log.error(ex.getMessage());
	134	log.error("调用发生异常，异常信息为:{}" , ex);
	135	ex.printStackTrace();
	136
	137	}
	138	return result;
	139	}
	140
	141	/**
	142	* 构造IAILMDK.run()方法的newModelBean参数
	143	*
	144	* @param predictModel
	145	* @return
	146	*/
	147	private IAILModel composeNewModelBean(MmPredictModelEntity predictModel) {
	148	IAILModel newModelBean = new IAILModel();
	149	newModelBean.setClassName(predictModel.getClassname().trim());
	150	newModelBean.setMethodName(predictModel.getMethodname().trim());
	151	//构造参数类型
	152	String[] paArStr = predictModel.getModelparamstructure().trim().split(",");
	153	Class<?>[] paramsArray = new Class[paArStr.length];
	154	for (int i = 0; i < paArStr.length; i++) {
	155	if ("[[D".equals(paArStr[i])) {
	156	paramsArray[i] = double[][].class;
	157	} else if ("Map".equals(paArStr[i]) \|\| "java.util.HashMap".equals(paArStr[i])) {
	158	paramsArray[i] = HashMap.class;
	159	}
	160	}
	161	newModelBean.setParamsArray(paramsArray);
	162	HashMap<String, Object> dataMap = new HashMap<>();
	163	HashMap<String, String> models = new HashMap<>(1);
b2aca2	164	models.put("model_path", predictModel.getModelpath());
7fd198	165	dataMap.put("models", models);
潘	166	newModelBean.setDataMap(dataMap);
	167	return newModelBean;
	168	}
	169
	170	/**
	171	* 根据模型id获取参数map
	172	*
	173	* @param modelId
	174	* @return
	175	*/
	176	private HashMap<String, Object> getPredictSettingsByModelId(String modelId) {
	177	List<MmModelArithSettingsEntity> list = mmModelArithSettingsService.getByModelId(modelId);
	178	HashMap<String, Object> result = new HashMap<>();
	179	for (MmModelArithSettingsEntity entry : list) {
	180	String valueType = entry.getValuetype().trim(); //去除两端空格
	181	if ("int".equals(valueType)) {
	182	int value = Integer.parseInt(entry.getValue());
	183	result.put(entry.getKey(), value);
	184	} else if ("double".equals(valueType)) {
	185	double value = Double.parseDouble(entry.getValue());
	186	result.put(entry.getKey(), value);
	187	} else if ("string".equals(valueType)) {
	188	String value = entry.getValue();
	189	result.put(entry.getKey(), value);
	190	} else if ("decimalArray".equals(valueType)) {
	191	JSONArray valueArray = JSONArray.parseArray(entry.getValue());
	192	double[] value = new double[valueArray.size()];
	193	for (int i = 0; i < valueArray.size(); i++) {
	194	value[i] = Double.parseDouble(valueArray.get(i).toString());
	195	}
	196	result.put(entry.getKey(), value);
	197	} else if ("decimal".equals(valueType)) {
	198	double value = Double.parseDouble(entry.getValue());
	199	result.put(entry.getKey(), value);
	200	}
	201	}
	202	return result;
	203	}
	204	}