SOAP-запрос:
<s:Envelope xmlns:s="http://schemas.xmlsoap.org/soap/envelope/"><s:Body xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><GetMs xmlns="http://www.prognoz.ru/PP.SOM.Som"><tMs xmlns=""> <id>JMFJPDNOEDNBFOAELEOGGHBJGPIFILLEHJKBHDKEFBGJALML!M!S!CCOGFMHNOEDNBFOAEICDKCGELINDKBKEEDKDPCAHMGOOJCJAD</id>
</tMs>
<tArg xmlns=""><pattern> <obInst>true</obInst>
<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>
<execWeightsMatrix>true</execWeightsMatrix>
</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.prognoz.ru/PP.SOM.Som" xmlns:q1="http://www.prognoz.ru/PP.SOM.Som" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><id xmlns=""> <id>JMFJPDNOEDNBFOAELEOGGHBJGPIFILLEHJKBHDKEFBGJALML!M!S!CCOGFMHNOEDNBFOAEICDKCGELINDKBKEEDKDPCAHMGOOJCJAD</id>
</id>
<meta xmlns=""><obInst><obDesc isShortcut="0" isLink="0" fullUrl="http://v-shp-development.dev.fs.fsight.world/" ver="4" hf="0"> <i>MODELSPACE</i>
<n>Контейнер моделирования</n>
<k>1581</k>
<c>5121</c>
<p>1580</p>
<h>0</h>
<hasPrv>0</hasPrv>
<ic>0</ic>
<isPermanent>1</isPermanent>
<isTemp>0</isTemp>
</obDesc>
</obInst>
<dirty>0</dirty>
<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] = BandpassFilter(MyInputVavable[t], 3, 2.00, 8.00), (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>BandpassFilter</kind>
<method><bandpassFilter><missingData> <specifiedVector />
<method>None</method>
<methodParameter>5</methodParameter>
<specifiedValue>0</specifiedValue>
<specifiedTerm> <k>4294967295</k>
</specifiedTerm>
</missingData>
<width>3</width>
<frequencyLow>2</frequencyLow>
<frequencyHigh>8</frequencyHigh>
<outputType>CycleSeries</outputType>
<explained><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>
<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>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>
</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>
</slice>
<date>1899-12-30</date>
</termInfo>
<unitInfo> <unit>4294967295</unit>
<measure>4294967295</measure>
<baseUnit>4294967295</baseUnit>
<unitsDimensionKey>0</unitsDimensionKey>
</unitInfo>
<included>0</included>
</explained>
<weightsMatrix> <d>0.774074394803123</d>
<d>-0.201004684236153</d>
<d>-0.135080548288772</d>
<d>-0.050951964876636</d>
</weightsMatrix>
<cycleTerm> <k>4294967295</k>
</cycleTerm>
<nonCyclicalTerm> <k>4294967295</k>
</nonCyclicalTerm>
</bandpassFilter>
<name>BandpassFilter(X, 3, 2.00, 8.00)</name>
<series><input> <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>
<baseUnit>4294967295</baseUnit>
<unitsDimensionKey>0</unitsDimensionKey>
</unitInfo>
<level>Year</level>
</slice>
<date>1899-12-30</date>
</input>
</series>
<evaluateSeries><its><Item> <scenarioKey>4294967295</scenarioKey>
<fact> <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>
</fact>
<modelling> <d>NaN</d>
<d>NaN</d>
<d>NaN</d>
<d>1.143283091738853</d>
<d>0.02334255406478847</d>
<d>-0.03139908390137758</d>
<d>-0.05604716136428989</d>
<d>1.287858708565182e-14</d>
<d>1.532107773982716e-14</d>
<d>1.509903313490213e-14</d>
<d>1.798561299892754e-14</d>
<d>1.77635683940025e-14</d>
<d>2.042810365310288e-14</d>
<d>1.953992523340276e-14</d>
<d>2.042810365310288e-14</d>
<d>2.575717417130363e-14</d>
<d>2.664535259100376e-14</d>
<d>2.930988785010413e-14</d>
<d>2.930988785010413e-14</d>
<d>2.930988785010413e-14</d>
<d>3.463895836830488e-14</d>
<d>3.641531520770513e-14</d>
<d>3.463895836830488e-14</d>
<d>NaN</d>
<d>NaN</d>
<d>NaN</d>
<d>NaN</d>
<d>NaN</d>
<d>NaN</d>
</modelling>
<residuals> <d>NaN</d>
<d>NaN</d>
<d>NaN</d>
<d>5.856716908261147</d>
<d>7.476657445935212</d>
<d>9.131399083901377</d>
<d>10.75604716136429</d>
<d>12.29999999999999</d>
<d>13.89999999999998</d>
<d>15.49999999999999</d>
<d>17.09999999999998</d>
<d>18.69999999999998</d>
<d>20.29999999999998</d>
<d>21.89999999999998</d>
<d>23.49999999999998</d>
<d>25.09999999999998</d>
<d>26.69999999999997</d>
<d>28.29999999999997</d>
<d>29.89999999999997</d>
<d>31.49999999999997</d>
<d>33.09999999999997</d>
<d>34.69999999999997</d>
<d>36.29999999999996</d>
<d>NaN</d>
<d>NaN</d>
<d>NaN</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 />
</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>1</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] = BandpassFilter(MyInputVavable[t], 3, 2.00, 8.00)</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" :
{
"id" : "JMFJPDNOEDNBFOAELEOGGHBJGPIFILLEHJKBHDKEFBGJALML!M!S!CCOGFMHNOEDNBFOAEICDKCGELINDKBKEEDKDPCAHMGOOJCJAD"
},
"tArg" :
{
"pattern" :
{
"obInst" : "true",
"item" :
{
"key" : "89669",
"problem" :
{
"metamodel" :
{
"calculationChain" : "Get",
"calcChainPattern" :
{
"modelPattern" :
{
"transform" :
{
"outputs" : "Get",
"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",
"execWeightsMatrix" : "true"
}
}
}
}
JSON-ответ:
{
"GetMsResult" :
{
"id" :
{
"id" : "JMFJPDNOEDNBFOAELEOGGHBJGPIFILLEHJKBHDKEFBGJALML!M!S!CCOGFMHNOEDNBFOAEICDKCGELINDKBKEEDKDPCAHMGOOJCJAD"
},
"meta" :
{
"obInst" :
{
"obDesc" :
{
"@fullUrl" : "http:\/\/v-shp-development.dev.fs.fsight.world\/",
"@isShortcut" : "0",
"@isLink" : "0",
"@ver" : "4",
"@hf" : "0",
"i" : "MODELSPACE",
"n" : "Контейнер моделирования",
"k" : "1581",
"c" : "5121",
"p" : "1580",
"h" : "0",
"hasPrv" : "0",
"ic" : "0",
"isPermanent" : "1",
"isTemp" : "0"
}
},
"dirty" : "0",
"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] = BandpassFilter(MyInputVavable[t], 3, 2.00, 8.00), (От родителя)-(От родителя)",
"vis" : "1",
"type" : "Model",
"excluded" : "0",
"graphMeta" : "",
"model" :
{
"transform" :
{
"outputs" :
{
"its" :
{
"Item" :
{
"k" : "1",
"id" : "VARIABLES_89670",
"n" : "Variables",
"vis" : "1",
"slices" :
{
"its" :
{
"Item" :
{
"k" : "0",
"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" :
{
"dimension" : "0",
"parameter" : "0"
}
}
},
"unitInfo" :
{
"unit" : "4294967295",
"measure" : "4294967295",
"baseUnit" : "4294967295",
"unitsDimensionKey" : "0"
},
"level" : "Year"
}
}
},
"variableStubKey" : "89671",
"parameterID" : "",
"kind" : "Stub",
"attributeId" : "",
"attributeType" : "Series"
}
}
},
"formulaCount" : "1",
"formulas" :
{
"its" :
{
"it" :
[
{
"k" : "0",
"kind" : "BandpassFilter",
"method" :
{
"bandpassFilter" :
{
"missingData" :
{
"specifiedVector" : "",
"method" : "None",
"methodParameter" : "5",
"specifiedValue" : "0",
"specifiedTerm" :
{
"k" : "4294967295"
}
},
"width" : "3",
"frequencyLow" : "2",
"frequencyHigh" : "8",
"outputType" : "CycleSeries",
"explained" :
{
"slice" :
{
"k" : "0",
"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" :
{
"dimension" : "0",
"parameter" : "0"
}
}
},
"unitInfo" :
{
"unit" : "4294967295",
"measure" : "4294967295",
"baseUnit" : "4294967295",
"unitsDimensionKey" : "0"
},
"level" : "Year"
},
"lag" : "",
"key" : "0",
"termToText" : "{MyOutputVavable|A[t]}",
"termToInnerText" : "@_1:0[]",
"termInfo" :
{
"k" : "4294967295",
"lag" : "0",
"inversion" :
{
"type" : "None",
"lag" : "PrecidingValue",
"previousLag" : "-1",
"seasonality" : "None",
"dependence" : "Linear",
"K" : "3"
},
"slice" :
{
"k" : "0",
"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" :
{
"dimension" : "0",
"parameter" : "0"
}
}
},
"unitInfo" :
{
"unit" : "4294967295",
"measure" : "4294967295",
"baseUnit" : "4294967295",
"unitsDimensionKey" : "0"
},
"level" : "Year"
},
"date" : "1899-12-30"
},
"unitInfo" :
{
"unit" : "4294967295",
"measure" : "4294967295",
"baseUnit" : "4294967295",
"unitsDimensionKey" : "0"
},
"included" : "0"
},
"weightsMatrix" :
{
"d" :
[
"0.774074394803123",
"-0.201004684236153",
"-0.135080548288772",
"-0.050951964876636"
]
},
"cycleTerm" :
{
"k" : "4294967295"
},
"nonCyclicalTerm" :
{
"k" : "4294967295"
}
},
"name" : "BandpassFilter(X, 3, 2.00, 8.00)",
"series" :
{
"input" :
{
"k" : "4294967295",
"lag" : "0",
"inversion" :
{
"type" : "None",
"lag" : "PrecidingValue",
"previousLag" : "-1",
"seasonality" : "None",
"dependence" : "Linear",
"K" : "3"
},
"slice" :
{
"k" : "0",
"id" : "1",
"n" : "MyInputVavable",
"vis" : "1",
"variableKey" : "2",
"stubKey" : "89671",
"selections" :
{
"its" :
{
"Item" :
{
"id" :
{
"id" : "89683"
},
"variant" : "1"
}
}
},
"aggregator" : "None",
"parametrizedDimensions" :
{
"its" :
{
"Item" :
{
"dimension" : "0",
"parameter" : "0"
}
}
},
"unitInfo" :
{
"unit" : "4294967295",
"measure" : "4294967295",
"baseUnit" : "4294967295",
"unitsDimensionKey" : "0"
},
"level" : "Year"
},
"date" : "1899-12-30"
}
},
"evaluateSeries" :
{
"its" :
{
"Item" :
{
"scenarioKey" : "4294967295",
"fact" :
{
"d" :
[
"1",
"4",
"2",
"7",
"7.5",
"9.1",
"10.7",
"12.3",
"13.9",
"15.5",
"17.1",
"18.7",
"20.3",
"21.9",
"23.5",
"25.1",
"26.7",
"28.3",
"29.9",
"31.5",
"33.1",
"34.7",
"36.3",
"37.9",
"39.5",
"41.1",
"NaN",
"NaN",
"NaN"
]
},
"modelling" :
{
"d" :
[
"NaN",
"NaN",
"NaN",
"1.143283091738853",
"0.02334255406478847",
"-0.03139908390137758",
"-0.05604716136428989",
"1.287858708565182e-14",
"1.532107773982716e-14",
"1.509903313490213e-14",
"1.798561299892754e-14",
"1.77635683940025e-14",
"2.042810365310288e-14",
"1.953992523340276e-14",
"2.042810365310288e-14",
"2.575717417130363e-14",
"2.664535259100376e-14",
"2.930988785010413e-14",
"2.930988785010413e-14",
"2.930988785010413e-14",
"3.463895836830488e-14",
"3.641531520770513e-14",
"3.463895836830488e-14",
"NaN",
"NaN",
"NaN",
"NaN",
"NaN",
"NaN"
]
},
"residuals" :
{
"d" :
[
"NaN",
"NaN",
"NaN",
"5.856716908261147",
"7.476657445935212",
"9.131399083901377",
"10.75604716136429",
"12.29999999999999",
"13.89999999999998",
"15.49999999999999",
"17.09999999999998",
"18.69999999999998",
"20.29999999999998",
"21.89999999999998",
"23.49999999999998",
"25.09999999999998",
"26.69999999999997",
"28.29999999999997",
"29.89999999999997",
"31.49999999999997",
"33.09999999999997",
"34.69999999999997",
"36.29999999999996",
"NaN",
"NaN",
"NaN",
"NaN",
"NaN",
"NaN"
]
},
"input" :
{
"d" :
[
"3",
"7",
"2",
"6",
"4",
"1",
"5",
"3.42857143",
"3.28571429",
"3.14285714",
"3",
"2.85714286",
"2.71428571",
"2.57142857",
"2.42857143",
"2.28571429",
"2.14285714",
"2",
"1.85714286",
"1.71428571",
"1.57142857",
"1.42857143",
"1.28571429",
"1.14285714",
"1",
"0.85714286",
"0.71428571",
"0.57142857",
"NaN",
"NaN",
"NaN"
]
},
"factors" :
{
"its" : ""
}
}
},
"dates" :
{
"it" :
[
"1990A1",
"1991A1",
"1992A1",
"1993A1",
"1994A1",
"1995A1",
"1996A1",
"1997A1",
"1998A1",
"1999A1",
"2000A1",
"2001A1",
"2002A1",
"2003A1",
"2004A1",
"2005A1",
"2006A1",
"2007A1",
"2008A1",
"2009A1",
"2010A1",
"2011A1",
"2012A1",
"2013A1",
"2014A1",
"2015A1",
"2016A1",
"2017A1",
"2018A1",
"2019A1",
"2020A1"
]
}
},
"inversionInfo" :
{
"type" : "None",
"lag" : "PrecidingValue",
"previousLag" : "-1",
"seasonality" : "None",
"dependence" : "Linear",
"K" : "3"
},
"doUseR" : "0",
"supportsR" : "1"
},
"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] = BandpassFilter(MyInputVavable[t], 3, 2.00, 8.00)",
"warnings" : "",
"readOnly" : "0"
}
}
}
},
"visualController" :
{
"userRPath" : "",
"isRExist" : "0"
},
"suppressEmptyFilter" :
{
"suppressEmpty" : "0",
"suppressEmptyArea" : "SerieBounds"
},
"readOnly" : "0",
"variableTestUseR" : "0",
"calculateIdentOnFact" : "0"
},
"useScenarios" : "0",
"readOnly" : "0"
}
}
}
}
}
public static MsCalculationChainEntry GetMsBpf(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()
{
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,
execWeightsMatrix = 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;
TsBandpassFilterMethod bpf = formula.method.bandpassFilter;
// Получаем матрицу весов и выводим в окно консоли
Console.WriteLine("-- Матрица весов --");
Console.WriteLine("".PadRight(3) + printArray(bpf.weightsMatrix));
// 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;
}