syntax = "proto3";
import public "toolkit.proto";
import public "modelling.proto";
import public "regarima.proto";
import public "sa.proto";

package x13;

option java_multiple_files = true;
option java_package = "demetra.x13.io.protobuf";
option java_outer_classname = "X13Protos";

enum DecompositionMode {
  MODE_UNKNOWN = 0;
  MODE_ADDITIVE = 1;
  MODE_MULTIPLICATIVE = 2;
  MODE_LOGADDITIVE = 3;
  MODE_PSEUDOADDITIVE = 4;
}
  
enum SeasonalFilter {
	SEASONAL_FILTER_MSR=0;
    SEASONAL_FILTER_S3X1=1;
    SEASONAL_FILTER_S3X3=2;
    SEASONAL_FILTER_S3X5=3;
    SEASONAL_FILTER_S3X9=4;
    SEASONAL_FILTER_S3X15=5;
	SEASONAL_FILTER_STABLE=6;
    SEASONAL_FILTER_X11DEFAULT=7;
}
  
enum CalendarSigma {
    SIGMA_NONE=0;
    SIGMA_SIGNIF=1; 
    SIGMA_ALL=2;
    SIGMA_SELECT=3;
}
  
enum BiasCorrection {
    BIAS_NONE = 0;
    BIAS_LEGACY = 1;
    BIAS_SMOOTH = 2;
    BIAS_RATIO = 3;	
}

message X11Spec {
  
  DecompositionMode mode = 1;
  bool seasonal = 2;
  int32 henderson = 3;
  repeated SeasonalFilter sfilters=4;
  double lsig = 5;
  double usig = 6;
  int32 nfcasts = 7;
  int32 nbcasts = 8;
  CalendarSigma sigma = 9;
  repeated int32 vsigmas = 10;
  bool exclude_fcasts = 11;
  BiasCorrection bias = 12;
}

enum OutlierMethod{
	OUTLIER_ADDONE = 0;
	OUTLIER_ADDALL = 1;
}

enum EasterType {
	EASTER_UNUSED = 0;
	EASTER_STANDARD = 1;
	EASTER_JULIAN = 2;
	EASTER_SC = 3;
}

enum RegressionTest {
	TEST_NO = 0;
	TEST_ADD = 1;
	TEST_REMOVE = 2;
}

enum AutomaticTradingDays {
	TD_AUTO_NO = 0;
	TD_AUTO_WALD = 1;
	TD_AUTO_AIC = 2;
	TD_AUTO_BIC = 3;
}
	
		
message RegArimaSpec {
    
    message BasicSpec{
		jd3.TimeSelector span = 1;
		bool preprocessing = 2;
		bool preliminary_check = 3;
    }
	
    message TransformSpec{
		modelling.Transformation transformation = 1;
		modelling.LengthOfPeriod adjust = 2;
		double aicdiff = 3;
		bool outliers_correction = 4;
    }
	
	message OutlierSpec{
		message Type{
			string code = 1;
			double va = 2;
		}
		repeated Type outliers = 1;
	    jd3.TimeSelector span = 2;
		double defva = 3;
		OutlierMethod method = 4;
		double monthly_tc_rate = 5;
		int32 maxiter = 6;
		int32 lsrun = 7;
	}

    message AutoModelSpec{
        bool enabled = 1;
        double ljungbox = 2;
        double tsig = 3;
        double predcv = 4;
        double ubfinal = 5;
        double ub1 = 6;
        double ub2 = 7;
        double cancel = 8;
        double fct = 9;
        bool acceptdef = 10;
        bool mixed = 11;
        bool balanced = 12;
    }

	message EasterSpec{
		EasterType type = 1;
		int32 duration = 2;
		RegressionTest test = 3;
		jd3.Parameter coefficient = 10;
	}

	message TradingDaysSpec{
		modelling.TradingDays td = 1;
		modelling.LengthOfPeriod lp = 2;
		string holidays = 3;
		repeated string users = 4;
		int32 w = 5;
		RegressionTest test = 6;
		AutomaticTradingDays auto = 7;
		double ptest1 = 8;
		double ptest2= 9;
		bool auto_adjust=10;
		repeated jd3.Parameter tdcoefficients = 11;
		jd3.Parameter lpcoefficient = 12;
	}

	message RegressionSpec{
		jd3.Parameter mean = 1;
		bool check_mean = 2;
		TradingDaysSpec td = 3;
		EasterSpec easter = 4;
		repeated modelling.Outlier outliers = 5;
		repeated modelling.TsVariable users = 6;
		repeated modelling.InterventionVariable interventions=7;
		repeated modelling.Ramp ramps = 8;
	}

	message EstimateSpec{
	    jd3.TimeSelector span = 1;
		double tol = 2;
	}

	BasicSpec basic = 1;
	TransformSpec transform = 2;
	OutlierSpec outlier = 3;
	regarima.SarimaSpec arima = 4;
    AutoModelSpec automodel = 5;
	RegressionSpec regression = 6;
	EstimateSpec estimate = 7;
}

message Spec{
	RegArimaSpec regarima = 1;
	X11Spec x11 = 2;
	sa.BenchmarkingSpec benchmarking = 3;
}

message X11Results{

    DecompositionMode mode =1;
    jd3.TsData d1=2;
    jd3.TsData d2=3;
    jd3.TsData d4=4;
    jd3.TsData d5=5;
    jd3.TsData d6=6;
    jd3.TsData d7=7;
    jd3.TsData d8=8;
    jd3.TsData d9=9;
    jd3.TsData d10=10;
    jd3.TsData d11=11;
    jd3.TsData d12=12;
    jd3.TsData d13=13;
	
	repeated SeasonalFilter final_seasonal_filters = 14;
	int32 final_henderson_filter = 15;
	double icratio =16;
	
    jd3.TsData b1=20;
    jd3.TsData b2=21;
    jd3.TsData b3=22;
    jd3.TsData b4=23;
    jd3.TsData b5=24;
    jd3.TsData b6=25;
    jd3.TsData b7=26;
    jd3.TsData b8=27;
    jd3.TsData b9=28;
    jd3.TsData b10=29;
    jd3.TsData b11=30;
    jd3.TsData b13=31;
    jd3.TsData b17=32;
    jd3.TsData b20=33;
    jd3.TsData c1=40;
    jd3.TsData c2=41;
    jd3.TsData c4=42;
    jd3.TsData c5=43;
    jd3.TsData c6=44;
    jd3.TsData c7=45;
    jd3.TsData c9=46;
    jd3.TsData c10=47;
    jd3.TsData c11=48;
    jd3.TsData c13=49;
    jd3.TsData c17=50;
    jd3.TsData c20=51;
 }
 
 message MStatistics{
	double m1 = 1;
	double m2 = 2;
	double m3 = 3;
	double m4 = 4;
	double m5 = 5;
	double m6 = 6;
	double m7 = 7;
	double m8 = 8;
	double m9 = 9;
	double m10 = 10;
	double m11 = 11;
	double q = 12;
	double qm2 = 13; 
 }
 
  message X13Preadjustment{
 
	jd3.TsData a1 = 1;
	jd3.TsData a1a = 2;
	jd3.TsData a1b = 3;
	jd3.TsData a6 = 4;
	jd3.TsData a7 = 5;
	jd3.TsData a8 = 6;
	jd3.TsData a9 = 7;
 }

 
  message X13Finals{
 
	jd3.TsData d11final = 1;
	jd3.TsData d12final = 2;
	jd3.TsData d13final = 3;
	jd3.TsData d16 = 4;
	jd3.TsData d18 = 5;
	jd3.TsData d11a = 6;
	jd3.TsData d12a = 7;
	jd3.TsData d16a = 8;
	jd3.TsData d18a = 9;
	
	jd3.TsData e1 = 10;
	jd3.TsData e2 = 11;
	jd3.TsData e3 = 12;
	jd3.TsData e11 = 13;

 }
 
 message Diagnostics{
 	MStatistics mstatistics = 1;

 }
 
 message X13Results{
    X13Preadjustment preadjustment = 1;
	regarima.RegArimaModel preprocessing = 2;
	X11Results decomposition = 3;
    X13Finals final = 4;

	Diagnostics diagnostics_x13= 5;
	sa.Diagnostics diagnostics_sa= 6;
}


message RegArimaOutput{
	regarima.RegArimaModel result = 1;
	RegArimaSpec estimation_spec = 2;
	RegArimaSpec result_spec = 3;
	jd3.ProcessingLogs log = 4;
	map<string, jd3.ProcessingDetail> details = 5;
}

message X13Output{
	X13Results result = 1;
	Spec estimation_spec = 2;
	Spec result_spec = 3;
	jd3.ProcessingLogs log = 4;
	map<string, jd3.ProcessingDetail> details = 5;
}
