SOAP-запрос:
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</tMs>
<tArg xmlns=""><pattern> <obInst>false</obInst>
<all>false</all>
<item> <key>89669</key>
<problem><metamodel> <calculationChain>Get</calculationChain>
<calcChainPattern><modelPattern><transform> <outputs>Get</outputs>
<formulaCount>true</formulaCount>
<formulas><method> <series>true</series>
</method>
</formulas>
<displayId>true</displayId>
<equationsFormula> <method />
</equationsFormula>
<series>Get</series>
<kind>true</kind>
<displaySettings>true</displaySettings>
<additionalAttributes>true</additionalAttributes>
<calculationType>true</calculationType>
<calculationDirection>true</calculationDirection>
<transformVariable> <slices>Get</slices>
<transformSlice> <selection>Get</selection>
</transformSlice>
</transformVariable>
</transform>
<stochastic>true</stochastic>
<calculationPeriod>true</calculationPeriod>
<useModelPeriod>true</useModelPeriod>
<useExistingData>true</useExistingData>
<treatNullsAsZeros>true</treatNullsAsZeros>
<autoName>true</autoName>
<generatedName>true</generatedName>
<period>true</period>
<isExclusive>true</isExclusive>
<useAutoPeriod>true</useAutoPeriod>
</modelPattern>
<entryKeys> <l>4</l>
</entryKeys>
</calcChainPattern>
</metamodel>
</problem>
</item>
</pattern>
<execParams> <k>0</k>
<modelKeys> <l>4</l>
</modelKeys>
<scenarioKeys />
<execMethod>true</execMethod>
<execEvaluateSeries>true</execEvaluateSeries>
<execPairCorrelationMatrix>true</execPairCorrelationMatrix>
</execParams>
</tArg>
</GetMs>
</s:Body>
</s:Envelope>
SOAP-ответ:
<soapenv:Envelope xmlns:soapenv="http://schemas.xmlsoap.org/soap/envelope/"><soapenv:Body><GetMsResult xmlns="http://www.fsight.ru/PP.SOM.Som" xmlns:q1="http://www.fsight.ru/PP.SOM.Som" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><id xmlns=""> <id>AOGBEFLOHDNBFOAEDPIBNDGEBKEDGIEEJKBKNMPOIOPJKGIB!M!S!CDMLANFLOHDNBFOAEJJKHCEGAMOAEGLOEPKMEPMOJMOAHLALB</id>
</id>
<meta xmlns=""><item> <k>89669</k>
<id>MODEL_NEW</id>
<n>MODEL_NEW</n>
<vis>1</vis>
<type>Problem</type>
<problemMd><metamodel> <k>89670</k>
<calculationChain><its><Item> <k>4</k>
<id>OBJ4</id>
<n>MyOutputVavable|A[t] = 10 - MyInputVavable[t] * 3.14, (От родителя)-(От родителя)</n>
<vis>1</vis>
<type>Model</type>
<excluded>0</excluded>
<graphMeta />
<model><transform><outputs><its><Item> <k>1</k>
<id>VARIABLES_89670</id>
<n>Variables</n>
<vis>1</vis>
<slices><its><Item> <k>0</k>
<id>MyOutputVavable|A</id>
<n>MyOutputVavable|A</n>
<vis>1</vis>
<variableKey>1</variableKey>
<stubKey>89671</stubKey>
<selections><its><Item><id> <id>89683</id>
</id>
<variant>2</variant>
</Item>
</its>
</selections>
<aggregator>None</aggregator>
<parametrizedDimensions><its><Item> <dimension>0</dimension>
<parameter>0</parameter>
</Item>
</its>
</parametrizedDimensions>
<unitInfo> <unit>4294967295</unit>
<measure>4294967295</measure>
<baseUnit>4294967295</baseUnit>
<unitsDimensionKey>0</unitsDimensionKey>
</unitInfo>
<level>Year</level>
</Item>
</its>
</slices>
<variableStubKey>89671</variableStubKey>
<parameterID />
<kind>Stub</kind>
<attributeId />
<attributeType>Series</attributeType>
</Item>
</its>
</outputs>
<formulaCount>1</formulaCount>
<formulas><its><it> <k>0</k>
<kind>Deterministic</kind>
<method><deterministic> <modifyType>Replace</modifyType>
<expression>10 - @_2:0[] * 3.14</expression>
<result><slice> <k>0</k>
<id>MyOutputVavable|A</id>
<n>MyOutputVavable|A</n>
<vis>1</vis>
<variableKey>1</variableKey>
<stubKey>89671</stubKey>
<selections><its><Item><id> <id>89683</id>
</id>
<variant>2</variant>
</Item>
</its>
</selections>
<aggregator>None</aggregator>
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<parameter>0</parameter>
</Item>
</its>
</parametrizedDimensions>
<unitInfo> <unit>4294967295</unit>
<measure>4294967295</measure>
<baseUnit>4294967295</baseUnit>
<unitsDimensionKey>0</unitsDimensionKey>
</unitInfo>
<level>Year</level>
</slice>
<lag />
<key>0</key>
<termToText>{MyOutputVavable|A[t]}</termToText>
<termToInnerText>@_1:0[]</termToInnerText>
<termInfo> <k>4294967295</k>
<lag>0</lag>
<inversion> <type>None</type>
<lag>PrecidingValue</lag>
<previousLag>-1</previousLag>
<seasonality>None</seasonality>
<dependence>Linear</dependence>
<K>3</K>
</inversion>
<slice> <k>0</k>
<id>MyOutputVavable|A</id>
<n>MyOutputVavable|A</n>
<vis>1</vis>
<variableKey>1</variableKey>
<stubKey>89671</stubKey>
<selections><its><Item><id> <id>89683</id>
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<variant>2</variant>
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<aggregator>None</aggregator>
<parametrizedDimensions><its><Item> <dimension>0</dimension>
<parameter>0</parameter>
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</parametrizedDimensions>
<unitInfo> <unit>4294967295</unit>
<measure>4294967295</measure>
<baseUnit>4294967295</baseUnit>
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<level>Year</level>
</slice>
<date>1899-12-30</date>
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<measure>4294967295</measure>
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<included>0</included>
</result>
<operands><its><Item> <k>0</k>
<slice> <k>0</k>
<id>1</id>
<n>MyInputVavable</n>
<vis>1</vis>
<variableKey>2</variableKey>
<stubKey>89671</stubKey>
<selections><its><Item><id> <id>89683</id>
</id>
<variant>1</variant>
</Item>
</its>
</selections>
<aggregator>None</aggregator>
<parametrizedDimensions><its><Item> <dimension>0</dimension>
<parameter>0</parameter>
</Item>
</its>
</parametrizedDimensions>
<unitInfo> <unit>4294967295</unit>
<measure>4294967295</measure>
<baseUnit>4294967295</baseUnit>
<unitsDimensionKey>0</unitsDimensionKey>
</unitInfo>
<level>Year</level>
</slice>
<lag />
<key>1</key>
<termToText>{MyInputVavable[t]}</termToText>
<termToInnerText>@_2:0[]</termToInnerText>
<termInfo> <k>4294967295</k>
<lag>0</lag>
<inversion> <type>None</type>
<lag>PrecidingValue</lag>
<previousLag>-1</previousLag>
<seasonality>None</seasonality>
<dependence>Linear</dependence>
<K>3</K>
</inversion>
<slice> <k>0</k>
<id>1</id>
<n>MyInputVavable</n>
<vis>1</vis>
<variableKey>2</variableKey>
<stubKey>89671</stubKey>
<selections><its><Item><id> <id>89683</id>
</id>
<variant>1</variant>
</Item>
</its>
</selections>
<aggregator>None</aggregator>
<parametrizedDimensions><its><Item> <dimension>0</dimension>
<parameter>0</parameter>
</Item>
</its>
</parametrizedDimensions>
<unitInfo> <unit>4294967295</unit>
<measure>4294967295</measure>
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<unitsDimensionKey>0</unitsDimensionKey>
</unitInfo>
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</slice>
<date>1899-12-30</date>
</termInfo>
<unitInfo> <unit>4294967295</unit>
<measure>4294967295</measure>
<baseUnit>4294967295</baseUnit>
<unitsDimensionKey>0</unitsDimensionKey>
</unitInfo>
<included>1</included>
</Item>
</its>
</operands>
<pairCorrelationMatrix><data> <d>1</d>
</data>
</pairCorrelationMatrix>
</deterministic>
<name>10 - X1 * 3.14</name>
<series><addFactor> <k>4294967295</k>
</addFactor>
</series>
<evaluateSeries><its><Item> <scenarioKey>4294967295</scenarioKey>
<fact> <d>3</d>
<d>7</d>
<d>2</d>
<d>6</d>
<d>4</d>
<d>1</d>
<d>5</d>
<d>3.42857143</d>
<d>3.28571429</d>
<d>3.14285714</d>
<d>3</d>
<d>2.85714286</d>
<d>2.71428571</d>
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<d>1</d>
<d>0.85714286</d>
<d>0.71428571</d>
<d>0.57142857</d>
<d>NaN</d>
</fact>
<modelling> <d>6.859999999999999</d>
<d>-2.56</d>
<d>3.72</d>
<d>-11.98</d>
<d>-13.55</d>
<d>-18.574</d>
<d>-23.598</d>
<d>-28.62200000000001</d>
<d>-33.646</d>
<d>-38.67</d>
<d>-43.69400000000001</d>
<d>-48.718</d>
<d>-53.742</d>
<d>-58.76600000000001</d>
<d>-63.79000000000001</d>
<d>-68.81400000000001</d>
<d>-73.83800000000001</d>
<d>-78.86200000000001</d>
<d>-83.886</d>
<d>-88.91000000000001</d>
<d>-93.93400000000001</d>
<d>-98.95800000000001</d>
<d>-103.982</d>
<d>-109.006</d>
<d>-114.03</d>
<d>-119.054</d>
<d>NaN</d>
<d>NaN</d>
<d>NaN</d>
</modelling>
<residuals> <d>-3.859999999999999</d>
<d>9.56</d>
<d>-1.72</d>
<d>17.98</d>
<d>17.55</d>
<d>19.574</d>
<d>28.598</d>
<d>32.05057143000001</d>
<d>36.93171429</d>
<d>41.81285714</d>
<d>46.69400000000001</d>
<d>51.57514286000001</d>
<d>56.45628571</d>
<d>61.33742857000001</d>
<d>66.21857143000001</d>
<d>71.09971429000001</d>
<d>75.98085714000001</d>
<d>80.86200000000001</d>
<d>85.74314285999999</d>
<d>90.62428571000001</d>
<d>95.50542857000001</d>
<d>100.38657143</d>
<d>105.26771429</d>
<d>110.14885714</d>
<d>115.03</d>
<d>119.91114286</d>
<d>NaN</d>
<d>NaN</d>
<d>NaN</d>
</residuals>
<input> <d>3</d>
<d>7</d>
<d>2</d>
<d>6</d>
<d>4</d>
<d>1</d>
<d>5</d>
<d>3.42857143</d>
<d>3.28571429</d>
<d>3.14285714</d>
<d>3</d>
<d>2.85714286</d>
<d>2.71428571</d>
<d>2.57142857</d>
<d>2.42857143</d>
<d>2.28571429</d>
<d>2.14285714</d>
<d>2</d>
<d>1.85714286</d>
<d>1.71428571</d>
<d>1.57142857</d>
<d>1.42857143</d>
<d>1.28571429</d>
<d>1.14285714</d>
<d>1</d>
<d>0.85714286</d>
<d>0.71428571</d>
<d>0.57142857</d>
<d>NaN</d>
<d>NaN</d>
<d>NaN</d>
</input>
<factors><its><it> <termToText>{MyInputVavable[t]}</termToText>
<serie> <d>1</d>
<d>4</d>
<d>2</d>
<d>7</d>
<d>7.5</d>
<d>9.1</d>
<d>10.7</d>
<d>12.3</d>
<d>13.9</d>
<d>15.5</d>
<d>17.1</d>
<d>18.7</d>
<d>20.3</d>
<d>21.9</d>
<d>23.5</d>
<d>25.1</d>
<d>26.7</d>
<d>28.3</d>
<d>29.9</d>
<d>31.5</d>
<d>33.1</d>
<d>34.7</d>
<d>36.3</d>
<d>37.9</d>
<d>39.5</d>
<d>41.1</d>
<d>NaN</d>
<d>NaN</d>
<d>NaN</d>
<d>NaN</d>
<d>NaN</d>
</serie>
<inversion> <type>None</type>
<lag>PrecidingValue</lag>
<previousLag>-1</previousLag>
<seasonality>None</seasonality>
<dependence>Linear</dependence>
<K>3</K>
</inversion>
<entryKey>1</entryKey>
</it>
</its>
</factors>
</Item>
</its>
<dates> <it>1990A1</it>
<it>1991A1</it>
<it>1992A1</it>
<it>1993A1</it>
<it>1994A1</it>
<it>1995A1</it>
<it>1996A1</it>
<it>1997A1</it>
<it>1998A1</it>
<it>1999A1</it>
<it>2000A1</it>
<it>2001A1</it>
<it>2002A1</it>
<it>2003A1</it>
<it>2004A1</it>
<it>2005A1</it>
<it>2006A1</it>
<it>2007A1</it>
<it>2008A1</it>
<it>2009A1</it>
<it>2010A1</it>
<it>2011A1</it>
<it>2012A1</it>
<it>2013A1</it>
<it>2014A1</it>
<it>2015A1</it>
<it>2016A1</it>
<it>2017A1</it>
<it>2018A1</it>
<it>2019A1</it>
<it>2020A1</it>
</dates>
</evaluateSeries>
<inversionInfo> <type>None</type>
<lag>PrecidingValue</lag>
<previousLag>-1</previousLag>
<seasonality>None</seasonality>
<dependence>Linear</dependence>
<K>3</K>
</inversionInfo>
<doUseR>0</doUseR>
<supportsR>0</supportsR>
</method>
<calendarLevel>Year</calendarLevel>
<outputSliceKey>0</outputSliceKey>
</it>
</its>
</formulas>
<displayId>0</displayId>
<series> <its />
</series>
<kind>Simple</kind>
<displaySettings> <displayTermsAs>Derive</displayTermsAs>
</displaySettings>
<additionalAttributes />
<calculationType>Serie</calculationType>
<calculationDirection>Forward</calculationDirection>
</transform>
<stochastic>0</stochastic>
<calculationPeriod>Forecast</calculationPeriod>
<useModelPeriod>1</useModelPeriod>
<useExistingData>0</useExistingData>
<treatNullsAsZeros>0</treatNullsAsZeros>
<autoName>1</autoName>
<period> <identificationStartDate>1990-01-01</identificationStartDate>
<identificationEndDate>2018-04-24</identificationEndDate>
<forecastStartDate>2018-04-25</forecastStartDate>
<forecastEndDate>2020-01-01</forecastEndDate>
<identificationStartDateParamID />
<identificationEndDateParamID />
<forecastStartDateParamID />
<forecastEndDateParamID />
<autoPeriod>28672</autoPeriod>
<identificationStartOffset>0</identificationStartOffset>
<identificationEndOffset>0</identificationEndOffset>
<forecastEndOffset>0</forecastEndOffset>
<isIdentStartCorrect>1</isIdentStartCorrect>
<isIdentEndCorrect>1</isIdentEndCorrect>
<isForecastEndCorrect>1</isForecastEndCorrect>
</period>
<isExclusive>1</isExclusive>
<useAutoPeriod>1</useAutoPeriod>
<generatedName>MyOutputVavable|A[t] = 10 - MyInputVavable[t] * 3.14</generatedName>
<warnings />
<readOnly>0</readOnly>
</model>
</Item>
</its>
</calculationChain>
<visualController> <userRPath />
<isRExist>0</isRExist>
</visualController>
<suppressEmptyFilter> <suppressEmpty>0</suppressEmpty>
<suppressEmptyArea>SerieBounds</suppressEmptyArea>
</suppressEmptyFilter>
<readOnly>0</readOnly>
<variableTestUseR>0</variableTestUseR>
<calculateIdentOnFact>0</calculateIdentOnFact>
</metamodel>
<useScenarios>0</useScenarios>
<readOnly>0</readOnly>
</problemMd>
</item>
</meta>
</GetMsResult>
</soapenv:Body>
</soapenv:Envelope>
JSON-запрос:
{
"GetMs" :
{
"tMs" :
{
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},
"tArg" :
{
"pattern" :
{
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"all" : "false",
"item" :
{
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"problem" :
{
"metamodel" :
{
"calculationChain" : "Get",
"calcChainPattern" :
{
"modelPattern" :
{
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{
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"formulaCount" : "true",
"formulas" :
{
"method" :
{
"series" : "true"
}
},
"displayId" : "true",
"equationsFormula" :
{
"method" : ""
},
"series" : "Get",
"kind" : "true",
"displaySettings" : "true",
"additionalAttributes" : "true",
"calculationType" : "true",
"calculationDirection" : "true",
"transformVariable" :
{
"slices" : "Get",
"transformSlice" :
{
"selection" : "Get"
}
}
},
"stochastic" : "true",
"calculationPeriod" : "true",
"useModelPeriod" : "true",
"useExistingData" : "true",
"treatNullsAsZeros" : "true",
"autoName" : "true",
"generatedName" : "true",
"period" : "true",
"isExclusive" : "true",
"useAutoPeriod" : "true"
},
"entryKeys" :
{
"l" : "4"
}
}
}
}
}
},
"execParams" :
{
"k" : "0",
"modelKeys" :
{
"l" : "4"
},
"scenarioKeys" : "",
"execMethod" : "true",
"execEvaluateSeries" : "true",
"execPairCorrelationMatrix" : "true"
}
}
}
}
JSON-ответ:
{
"GetMsResult" :
{
"id" :
{
"id" : "AOGBEFLOHDNBFOAEDPIBNDGEBKEDGIEEJKBKNMPOIOPJKGIB!M!S!CDMLANFLOHDNBFOAEJJKHCEGAMOAEGLOEPKMEPMOJMOAHLALB"
},
"meta" :
{
"item" :
{
"k" : "89669",
"id" : "MODEL_NEW",
"n" : "MODEL_NEW",
"vis" : "1",
"type" : "Problem",
"problemMd" :
{
"metamodel" :
{
"k" : "89670",
"calculationChain" :
{
"its" :
{
"Item" :
{
"k" : "4",
"id" : "OBJ4",
"n" : "MyOutputVavable|A[t] = 10 - MyInputVavable[t] * 3.14, (От родителя)-(От родителя)",
"vis" : "1",
"type" : "Model",
"excluded" : "0",
"graphMeta" : "",
"model" :
{
"transform" :
{
"outputs" :
{
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{
"Item" :
{
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"id" : "VARIABLES_89670",
"n" : "Variables",
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"slices" :
{
"its" :
{
"Item" :
{
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"id" : "MyOutputVavable|A",
"n" : "MyOutputVavable|A",
"vis" : "1",
"variableKey" : "1",
"stubKey" : "89671",
"selections" :
{
"its" :
{
"Item" :
{
"id" :
{
"id" : "89683"
},
"variant" : "2"
}
}
},
"aggregator" : "None",
"parametrizedDimensions" :
{
"its" :
{
"Item" :
{
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}
}
},
"unitInfo" :
{
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"unitsDimensionKey" : "0"
},
"level" : "Year"
}
}
},
"variableStubKey" : "89671",
"parameterID" : "",
"kind" : "Stub",
"attributeId" : "",
"attributeType" : "Series"
}
}
},
"formulaCount" : "1",
"formulas" :
{
"its" :
{
"it" :
[
{
"k" : "0",
"kind" : "Deterministic",
"method" :
{
"deterministic" :
{
"modifyType" : "Replace",
"expression" : "10 - @_2:0[] * 3.14",
"result" :
{
"slice" :
{
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"n" : "MyOutputVavable|A",
"vis" : "1",
"variableKey" : "1",
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{
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{
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},
"aggregator" : "None",
"parametrizedDimensions" :
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{
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{
"type" : "None",
"lag" : "PrecidingValue",
"previousLag" : "-1",
"seasonality" : "None",
"dependence" : "Linear",
"K" : "3"
},
"slice" :
{
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{
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{
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{
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},
"aggregator" : "None",
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{
"its" :
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}
},
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{
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"operands" :
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},
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},
"lag" : "",
"key" : "1",
"termToText" : "{MyInputVavable[t]}",
"termToInnerText" : "@_2:0[]",
"termInfo" :
{
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{
"type" : "None",
"lag" : "PrecidingValue",
"previousLag" : "-1",
"seasonality" : "None",
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"K" : "3"
},
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{
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"its" :
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}
},
"pairCorrelationMatrix" :
{
"data" :
{
"d" : "1"
}
}
},
"name" : "10 - X1 * 3.14",
"series" :
{
"addFactor" :
{
"k" : "4294967295"
}
},
"evaluateSeries" :
{
"its" :
{
"Item" :
{
"scenarioKey" : "4294967295",
"fact" :
{
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"NaN"
]
},
"modelling" :
{
"d" :
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]
},
"residuals" :
{
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[
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},
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{
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{
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{
"it" :
[
{
"termToText" : "{MyInputVavable[t]}",
"serie" :
{
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[
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"lag" : "PrecidingValue",
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"seasonality" : "None",
"dependence" : "Linear",
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"dates" :
{
"it" :
[
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"1992A1",
"1993A1",
"1994A1",
"1995A1",
"1996A1",
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"2011A1",
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"2013A1",
"2014A1",
"2015A1",
"2016A1",
"2017A1",
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}
},
"inversionInfo" :
{
"type" : "None",
"lag" : "PrecidingValue",
"previousLag" : "-1",
"seasonality" : "None",
"dependence" : "Linear",
"K" : "3"
},
"doUseR" : "0",
"supportsR" : "0"
},
"calendarLevel" : "Year",
"outputSliceKey" : "0"
}
]
}
},
"displayId" : "0",
"series" :
{
"its" : ""
},
"kind" : "Simple",
"displaySettings" :
{
"displayTermsAs" : "Derive"
},
"additionalAttributes" : "",
"calculationType" : "Serie",
"calculationDirection" : "Forward"
},
"stochastic" : "0",
"calculationPeriod" : "Forecast",
"useModelPeriod" : "1",
"useExistingData" : "0",
"treatNullsAsZeros" : "0",
"autoName" : "1",
"period" :
{
"identificationStartDate" : "1990-01-01",
"identificationEndDate" : "2018-04-24",
"forecastStartDate" : "2018-04-25",
"forecastEndDate" : "2020-01-01",
"identificationStartDateParamID" : "",
"identificationEndDateParamID" : "",
"forecastStartDateParamID" : "",
"forecastEndDateParamID" : "",
"autoPeriod" : "28672",
"identificationStartOffset" : "0",
"identificationEndOffset" : "0",
"forecastEndOffset" : "0",
"isIdentStartCorrect" : "1",
"isIdentEndCorrect" : "1",
"isForecastEndCorrect" : "1"
},
"isExclusive" : "1",
"useAutoPeriod" : "1",
"generatedName" : "MyOutputVavable|A[t] = 10 - MyInputVavable[t] * 3.14",
"warnings" : "",
"readOnly" : "0"
}
}
}
},
"visualController" :
{
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"isRExist" : "0"
},
"suppressEmptyFilter" :
{
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"suppressEmptyArea" : "SerieBounds"
},
"readOnly" : "0",
"variableTestUseR" : "0",
"calculateIdentOnFact" : "0"
},
"useScenarios" : "0",
"readOnly" : "0"
}
}
}
}
}
public static MsCalculationChainEntry GetMsDeterm(MsId ms, ulong modelKey, ulong eqKey)
{
var getMsOp = new GetMs();
// Задаём параметры выполнения операции
getMsOp.tMs = ms;
getMsOp.tArg = new GetMsArg()
{ // Задаем шаблон извлечения данных
pattern = new MsMdPattern()
{
obInst = false,
all = false,
item = new MsItemPattern()
{ // Указываем ключ рассчитываемой модели
key = modelKey,
problem = new MsProblemPattern()
{
metamodel = new MsMetaModelPattern()
{
calculationChain = ListOperation.Get,
calcChainPattern = new MsCalculationChainPattern()
{
// Указываем ключ рассчитываемого уравнения
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,
execPairCorrelationMatrix = 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 != null)
{
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;
TsDeterministicMethod determ = formula.method.deterministic;
Console.WriteLine("-- Входные факторы --");
Console.WriteLine("".PadRight(3) + printArray(determ.factsMatrix));
Console.WriteLine("-- Матрица корреляции --");
MsPairCorrelationMatrix pm = determ.pairCorrelationMatrix;
if (pm.error != null) {Console.WriteLine("".PadRight(3) + "ошибка: " + pm.error);}
Console.WriteLine("".PadRight(3) + printArray(pm.data));
// 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;
}