Ниже приведен пример использования операции GetMs для расчёта уравнения. В запросе передаются: экземпляр открытого контейнера моделирования, шаблон расчёта уравнения и параметры выполнения операции. В ответе приходит экземпляр модели, содержащей уравнение с результатами расчёта.
Для выполнения примера уравнение должно рассчитываться методом «Подбор вида зависимости».
В примере C# для вывода результатов используются вспомогательные процедуры: PrintStat, PrintCoef, PrintSeries, описанные в разделе «Расчёт уравнения».
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public static MsCalculationChainEntry GetMsCurveEstimation(MsId ms, ulong modelKey, ulong eqKey) { var getMsOp = new GetMs(); // Задаем параметры выполнения операции getMsOp.tMs = ms; getMsOp.tArg = new GetMsArg() { // Задаем шаблон извлечения данных pattern = new MsMdPattern() { item = new MsItemPattern() { // Указываем ключ рассчитываемого уравнения key = modelKey, problem = new MsProblemPattern() { metamodel = new MsMetaModelPattern() { calculationChain = ListOperation.Get, calcChainPattern = new MsCalculationChainPattern() { entryKeys = new long[] { (long)eqKey }, modelPattern = new MsModelPattern() { autoName = true, calculationPeriod = true, generatedName = true, isExclusive = true, period = true, stochastic = true, treatNullsAsZeros = true, useAutoPeriod = true, useExistingData = true, useModelPeriod = true, transform = new MsFormulaTransformPattern() { additionalAttributes = true, calculationDirection = true, calculationType = true, displayId = true, displaySettings = true, formulaCount = true, outputs = ListOperation.Get, series = ListOperation.Get, kind = true, formulas = new TsFormulaPattern() { method = new TsMethodPattern() { series = true } }, equationsFormula = new TsFormulaPattern() { method = new TsMethodPattern() { } }, transformVariable = new MsFormulaTransformVariablePattern() { slices = ListOperation.Get, transformSlice = new MsFormulaTransformSlicePattern() { selection = ListOperation.Get } } } } } } } } }, // Задаем параметры расчёта уравнения execParams = new MsMdExecParams() { k = 0, execMethod = true, execEvaluateSeries = true, execGenerateName = true, execSummaryStatistics = true, execCoefficients = true, execStatCoefficients = true, scenarioKeys = new long[] { }, modelKeys = new long[] { (long)eqKey } } }; // Создаем прокси-объект для выполнения операции var somClient = new SomPortTypeClient(); GetMsResult getMsResult = somClient.GetMs(getMsOp); MsMetaModel meta = getMsResult.meta.item.problemMd.metamodel; MsCalculationChainEntry chainEntry = meta.calculationChain.its.GetValue(0) as MsCalculationChainEntry; // Выводим ошибки и предупреждения MsModel eq = chainEntry.model; if (eq.warnings.Length != 0) { Console.WriteLine("-- Предупреждения --"); Console.WriteLine("".PadRight(3) + printArray(eq.warnings)); } if (eq.error == null) //Проверяем, возникли ли ошибки при расчёте уравнения { // Уравнение рассчитано без ошибок // Получаем результаты расчёта TsFormula formula = eq.transform.formulas.its.GetValue(0) as TsFormula; TsCurveEstimationMethod curve = formula.method.curveEstimation; // Выводим лучшую форму зависимости Console.WriteLine("Лучшая форма зависимости: "+curve.bestDependenceForm.Value); // Выводим данные о формах зависимости MsDependenceForms depForms = curve.dependenceForms; foreach (MsDependenceForm form in depForms.its) { Console.WriteLine("Исследуемая форма зависимости: "+ form.dependenceForm.ToString()); if (form.errors == "") { Console.WriteLine("Значение критерия: ".PadRight(3) + form.criterionValue); Console.WriteLine("Уравнение: ".PadRight(3) + form.expression); // Получаем статистические характеристики и выводим в окно консоли StatSummaryStatistics stat = form.summaryStatistics; PrintStat(stat); // Поучаем значения коэффициентов и выводим в окно консоли StatModelCoefficients coef = form.statCoefficients; PrintCoef(coef); } else // Выводим ошибки, возникшие при подборе зависимости { Console.WriteLine("".PadRight(3)+form.errors);}; }; // Получаем рассчитанные значения и выводим в окно консоли MsEvaluateSeriesResult seriesRes = formula.method.evaluateSeries; printSeries(seriesRes); } else // При расчёте уравнения возникли ошибки { Console.WriteLine("-- Ошибки --"); Console.WriteLine(eq.error); } // Возвращаем модель, содержащую уравнение return chainEntry; }
См. также:
GetMs: Операция | Настройка параметров метода «Подбор вида зависимости»