From 7f0bcd00c556889ba890e5e68c681f1b5d4267e1 Mon Sep 17 00:00:00 2001 From: dengzedong <dengzedong@email> Date: 星期四, 19 十二月 2024 18:07:20 +0800 Subject: [PATCH] 预测项状态添加模型结果异常 --- iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/McsApiImpl.java | 10 +++++++--- 1 files changed, 7 insertions(+), 3 deletions(-) diff --git a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/McsApiImpl.java b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/McsApiImpl.java index e1d951c..b5abf3a 100644 --- a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/McsApiImpl.java +++ b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/McsApiImpl.java @@ -134,7 +134,7 @@ Date predictTime = reqVO.getPredictTime(); if (predictTime == null) { MmItemOutputEntity output = mmItemOutputService.getOutPutById(reqVO.getOutIds().get(0)); - ItemVO predictItem = mmPredictItemService.getItemById(output.getItemid()); + ItemVO predictItem = mmPredictItemService.getItemByIdFromCache(output.getItemid()); if (predictItem.getLastTime() != null) { predictTime = predictItem.getLastTime(); } else { @@ -274,7 +274,9 @@ for (MmItemOutputEntity out : outs) { legend.add(out.getResultName()); PreDataSampleViewRespDTO viewDto = new PreDataSampleViewRespDTO(); - viewDto.setRealData(getHisData(out.getPointid(), startTime, endTime)); + if (StringUtils.isNotBlank(out.getPointid())) { + viewDto.setRealData(getHisData(out.getPointid(), startTime, endTime)); + } viewDto.setPreDataN(mmItemResultService.getData(out.getId(), startTime, endTime, DateUtils.FORMAT_YEAR_MONTH_DAY_HOUR_MINUTE_SECOND)); viewMap.put(out.getResultName(), viewDto); } @@ -302,6 +304,8 @@ if (resultStr == null) { return result; } + String resultIndex = chartParams.get(CommonConstant.RESULT_INDEX); + ItemVO predictItem = mmPredictItemService.getItemByItemNo(itemCode); if (predictItem == null || predictItem.getLastTime() == null) { return result; @@ -322,7 +326,7 @@ List<String> categories = DateUtils.getTimeScale(startTime, endTime, predictItem.getGranularity(), timeFormat); List<String> legend = new ArrayList<>(); - MmItemOutputEntity outPut = mmItemOutputService.getByItemid(predictItem.getId(), resultStr); + MmItemOutputEntity outPut = mmItemOutputService.getByItemid(predictItem.getId(), resultStr, resultIndex); PreDataViewRespDTO dataView = new PreDataViewRespDTO(); dataView.setItemId(predictItem.getId()); dataView.setItemName(predictItem.getItemName()); -- Gitblit v1.9.3