feat(ai_predict_model): 优化模型训练结果保存逻辑

- 在保存模型训练结果时，增加了对预测日期的解析和保存
- 新增了模型框架、预测值、预测频度、方向准确度、绝对偏差等字段的保存
- 更新了数据库模型以支持新增的字段

logic/ai_predict_model/index.go

@@ -353,7 +353,7 @@ func handleTaskRecordSuccessByTrain(aiPredictModelImportData request.AiPredictMo
 	indexItem.TrainStatus = aiPredictModel.TrainStatusSuccess
 	indexItem.ModifyTime = time.Now()
 
-	updateIndexConfigCols := []string{"train_status", `remark`, "modify_time", `train_mse`, `train_r2`, `test_mse`, `test_r2`, `model_framework`, `predict_value`, `predict_frequency`, `direction_accuracy`, `absolute_deviation`, `extra_config`}
+	updateIndexConfigCols := []string{"train_status", `remark`, "modify_time", `train_mse`, `train_r2`, `test_mse`, `test_r2`, `model_framework`, `predict_date`, `predict_value`, `predict_frequency`, `direction_accuracy`, `absolute_deviation`, `extra_config`}
 	// 配置状态修改
 	{
 		predictDate, e := time.ParseInLocation(utils.FormatDate, aiPredictModelImportData.Index.PredictDate, time.Local)