/*
 * Copyright 2008 Sandia Corporation.
 * Under the terms of Contract DE-AC04-94AL85000, there is a non-exclusive
 * license for use of this work by or on behalf of the
 * U.S. Government. Redistribution and use in source and binary forms, with
 * or without modification, are permitted provided that this Notice and any
 * statement of authorship are reproduced on all copies.
 */
// .SECTION Thanks
// Thanks to Philippe Pebay from Sandia National Laboratories
// for implementing this test.

#include "vtkDoubleArray.h"
#include "vtkInformation.h"
#include "vtkMath.h"
#include "vtkMultiBlockDataSet.h"
#include "vtkOrderStatistics.h"
#include "vtkStringArray.h"
#include "vtkTable.h"

#include <map>
#include <vector>

//=============================================================================
int TestOrderStatistics(int, char*[])
{
  int testStatus = 0;

  double mingledData[] = {
    46,
    45,
    47,
    49,
    46,
    47,
    46,
    46,
    47,
    46,
    47,
    49,
    49,
    49,
    47,
    45,
    50,
    50,
    46,
    46,
    51,
    50,
    48,
    48,
    52,
    54,
    48,
    47,
    52,
    52,
    49,
    49,
    53,
    54,
    50,
    50,
    53,
    54,
    50,
    52,
    53,
    53,
    50,
    51,
    54,
    54,
    49,
    49,
    52,
    52,
    50,
    51,
    52,
    52,
    49,
    47,
    48,
    48,
    48,
    50,
    46,
    48,
    47,
    47,
  };
  int nVals = 32;

  vtkDoubleArray* dataset1Arr = vtkDoubleArray::New();
  dataset1Arr->SetNumberOfComponents(1);
  dataset1Arr->SetName("Metric 0");

  vtkDoubleArray* dataset2Arr = vtkDoubleArray::New();
  dataset2Arr->SetNumberOfComponents(1);
  dataset2Arr->SetName("Metric 1");

  vtkDoubleArray* dataset3Arr = vtkDoubleArray::New();
  dataset3Arr->SetNumberOfComponents(1);
  dataset3Arr->SetName("Metric 2");

  for (int i = 0; i < nVals; ++i)
  {
    int ti = i << 1;
    dataset1Arr->InsertNextValue(mingledData[ti]);
    dataset2Arr->InsertNextValue(mingledData[ti + 1]);
    dataset3Arr->InsertNextValue(static_cast<double>(i));
  }

  vtkTable* datasetTable = vtkTable::New();
  datasetTable->AddColumn(dataset1Arr);
  dataset1Arr->Delete();
  datasetTable->AddColumn(dataset2Arr);
  dataset2Arr->Delete();
  datasetTable->AddColumn(dataset3Arr);
  dataset3Arr->Delete();

  int nMetrics = 3;
  vtkStdString columns[] = { "Metric 1", "Metric 2", "Metric 0" };

  // Set order statistics algorithm and its input data port
  vtkOrderStatistics* os = vtkOrderStatistics::New();

  // First verify that absence of input does not cause trouble
  cout << "## Verifying that absence of input does not cause trouble... ";
  os->Update();
  cout << "done.\n";

  // Prepare first test with data
  os->SetInputData(vtkStatisticsAlgorithm::INPUT_DATA, datasetTable);
  datasetTable->Delete();

  // Select Columns of Interest
  os->AddColumn("Metric 3"); // Include invalid Metric 3
  for (int i = 0; i < nMetrics; ++i)
  { // Try to add all valid indices once more
    os->AddColumn(columns[i]);
  }

  // Test Learn, Derive, and Test operations
  os->SetLearnOption(true);
  os->SetDeriveOption(true);
  os->SetTestOption(true);
  os->SetAssessOption(true);
  os->Update();

  // Offset between baseline values for each variable
  int valsOffset = 5;

  double valsTest1[] = {
    46., 47., 49., 51.5, 54., //
    45., 47., 49., 52., 54.,  //
    0., 7.5, 15.5, 23.5, 31.  //
  };

  // Get output data and meta tables
  vtkTable* outputData = os->GetOutput(vtkStatisticsAlgorithm::OUTPUT_DATA);
  vtkMultiBlockDataSet* outputModelDS = vtkMultiBlockDataSet::SafeDownCast(
    os->GetOutputDataObject(vtkStatisticsAlgorithm::OUTPUT_MODEL));
  unsigned nbq = outputModelDS->GetNumberOfBlocks() - 1;
  vtkTable* outputQuantiles = vtkTable::SafeDownCast(outputModelDS->GetBlock(nbq));
  vtkTable* outputCard = vtkTable::SafeDownCast(outputModelDS->GetBlock(nbq - 1));
  vtkTable* outputTest = os->GetOutput(vtkStatisticsAlgorithm::OUTPUT_TEST);

  cout
    << "## Calculated the following quartiles with InverseCDFAveragedSteps quantile definition:\n";
  outputQuantiles->Dump();
  for (vtkIdType c = 1; c < outputQuantiles->GetNumberOfColumns(); ++c)
  {
    vtkStdString colName = outputQuantiles->GetColumnName(c);
    cout << "   Variable=" << colName << "\n";

    // Check some results of the Derive operation
    for (int r = 0; r < outputQuantiles->GetNumberOfRows(); ++r)
    {
      double Qp = outputQuantiles->GetValue(r, c).ToDouble();
      int i = (c - 1) * valsOffset + r;

      if (fabs(Qp - valsTest1[i]) > 1.e-6)
      {
        vtkGenericWarningMacro("Incorrect quartiles: " << Qp << " != " << valsTest1[i] << ".");
        testStatus = 1;
      }
    }

    // Check some results of the Assess operation
    vtkStdString quantColName = "Quantile(" + colName + ")";
    vtkAbstractArray* absQuantArr = outputData->GetColumnByName(quantColName);
    if (!absQuantArr)
    {
      vtkGenericWarningMacro("Cannot retrieve quartile array for variable: " << colName << ".");
      testStatus = 1;
    }
    else
    {
      vtkDataArray* dataQuantArr = vtkArrayDownCast<vtkDoubleArray>(absQuantArr);
      if (!dataQuantArr)
      {
        vtkGenericWarningMacro(
          "Quartile array for variable: " << colName << " is not a data array.");
        testStatus = 1;
      }

      std::map<int, int> histoQuantiles;
      for (vtkIdType r = 0; r < dataQuantArr->GetNumberOfTuples(); ++r)
      {
        long qIdx = std::lround(dataQuantArr->GetTuple1(r));
        ++histoQuantiles[qIdx];
      }

      int totalHist = 0;
      for (std::map<int, int>::iterator hit = histoQuantiles.begin(); hit != histoQuantiles.end();
           ++hit)
      {
        cout << "    IQR " << hit->first << ": " << hit->second << " observations\n";

        totalHist += hit->second;
      }
      cout << "    Total: " << totalHist << " observations\n";

      if (nVals != totalHist)
      {
        vtkGenericWarningMacro("Quartile-based histogram size " << totalHist << " != " << nVals
                                                                << ", the data set cardinality.");
        testStatus = 1;
      }
    }

    cout << "\n";
  }

  cout << "## Calculated the following histograms:\n";
  for (unsigned b = 0; b < outputModelDS->GetNumberOfBlocks() - 2; ++b)
  {
    vtkStdString varName = outputModelDS->GetMetaData(b)->Get(vtkCompositeDataSet::NAME());
    cout << "   Variable=" << varName << "\n";

    vtkTable* histoTab = vtkTable::SafeDownCast(outputModelDS->GetBlock(b));
    histoTab->Dump();
  }

  // Check cardinalities
  cout << "\n## Calculated the following cardinalities:\n";
  for (vtkIdType r = 0; r < outputCard->GetNumberOfRows(); ++r)
  {
    cout << "   ";
    for (int i = 0; i < outputCard->GetNumberOfColumns(); ++i)
    {
      cout << outputCard->GetColumnName(i) << "=" << outputCard->GetValue(r, i).ToString() << "  ";
    }

    // Check whether total cardinality is correct
    int testIntValue = outputCard->GetValueByName(r, "Cardinality").ToInt();
    if (testIntValue != outputData->GetNumberOfRows())
    {
      vtkGenericWarningMacro("Incorrect histogram count: " << testIntValue << " != "
                                                           << outputData->GetNumberOfRows() << ".");
      testStatus = 1;
    }

    cout << "\n";
  }

  // Check some results of the Test operation
  cout << "\n## Calculated the following Kolmogorov-Smirnov statistics:\n";
  for (vtkIdType r = 0; r < outputTest->GetNumberOfRows(); ++r)
  {
    cout << "   ";
    for (int i = 0; i < outputTest->GetNumberOfColumns(); ++i)
    {
      cout << outputTest->GetColumnName(i) << "=" << outputTest->GetValue(r, i).ToString() << "  ";
    }

    cout << "\n";
  }

  // Select Columns of Interest (no more bogus columns)
  os->ResetAllColumnStates();
  os->ResetRequests();
  for (int i = 0; i < nMetrics; ++i)
  { // Try to add all valid indices once more
    os->AddColumn(columns[i]);
  }

  // Test Learn, Derive, and Test operations with InverseCDF quantile definition
  os->SetQuantileDefinition(vtkOrderStatistics::InverseCDF);
  os->SetLearnOption(true);
  os->SetDeriveOption(true);
  os->SetTestOption(true);
  os->SetAssessOption(false);
  os->Update();

  double valsTest2[] = {
    46., 47., 49., 51., 54., //
    45., 47., 49., 52., 54., //
    0., 7., 15., 23., 31.    //
  };

  // Get calculated model
  outputModelDS = vtkMultiBlockDataSet::SafeDownCast(
    os->GetOutputDataObject(vtkStatisticsAlgorithm::OUTPUT_MODEL));
  nbq = outputModelDS->GetNumberOfBlocks() - 1;
  outputQuantiles = vtkTable::SafeDownCast(outputModelDS->GetBlock(nbq));

  cout << "\n## Calculated the following quartiles with InverseCDFAveragedSteps quantile "
          "definition:\n";
  outputQuantiles->Dump();
  for (vtkIdType c = 1; c < outputQuantiles->GetNumberOfColumns(); ++c)
  {
    // Verify some of the calculated quartiles
    for (int r = 0; r < outputQuantiles->GetNumberOfRows(); ++r)
    {
      double Qp = outputQuantiles->GetValue(r, c).ToDouble();
      int i = (c - 1) * valsOffset + r;

      if (fabs(Qp - valsTest2[i]) > 1.e-6)
      {
        vtkGenericWarningMacro("Incorrect quartiles for variable "
          << outputQuantiles->GetColumnName(c) << ": " << Qp << " != " << valsTest2[i] << ".");
        testStatus = 1;
      }
    }
  }

  // Check some results of the Test operation
  cout << "\n## Calculated the following Kolmogorov-Smirnov statistics:\n";
  for (vtkIdType r = 0; r < outputTest->GetNumberOfRows(); ++r)
  {
    cout << "   ";
    for (int i = 0; i < outputTest->GetNumberOfColumns(); ++i)
    {
      cout << outputTest->GetColumnName(i) << "=" << outputTest->GetValue(r, i).ToString() << "  ";
    }

    cout << "\n";
  }

  // Test Learn, Derive, and Test operation for deciles with InverseCDF quantile definition (as with
  // Octave)
  os->SetQuantileDefinition(0); // 0: vtkOrderStatistics::InverseCDF
  os->SetNumberOfIntervals(10);
  os->Update();

  // Get calculated model
  outputModelDS = vtkMultiBlockDataSet::SafeDownCast(
    os->GetOutputDataObject(vtkStatisticsAlgorithm::OUTPUT_MODEL));
  nbq = outputModelDS->GetNumberOfBlocks() - 1;
  outputQuantiles = vtkTable::SafeDownCast(outputModelDS->GetBlock(nbq));

  cout << "\n## Calculated the following deciles with InverseCDF quantile definition:\n";
  outputQuantiles->Dump();

  // Check some results of the Test operation
  cout << "\n## Calculated the following Kolmogorov-Smirnov statistics:\n";
  for (vtkIdType r = 0; r < outputTest->GetNumberOfRows(); ++r)
  {
    cout << "   ";
    for (int i = 0; i < outputTest->GetNumberOfColumns(); ++i)
    {
      cout << outputTest->GetColumnName(i) << "=" << outputTest->GetValue(r, i).ToString() << "  ";
    }

    cout << "\n";
  }

  // Clean up
  os->Delete();

  // Test Learn operation for quartiles with non-numeric ordinal data
  vtkStdString text(
    "an ordinal scale defines a total preorder of objects the scale values themselves have a total "
    "order names may be used like bad medium good if numbers are used they are only relevant up to "
    "strictly monotonically increasing transformations also known as order isomorphisms");
  std::vector<int>::size_type textLength = text.size();

  vtkStringArray* textArr = vtkStringArray::New();
  textArr->SetNumberOfComponents(1);
  textArr->SetName("Text");

  for (std::vector<int>::size_type i = 0; i < textLength; ++i)
  {
    vtkStdString s("");
    s += text.at(i);
    textArr->InsertNextValue(s);
  }

  vtkTable* textTable = vtkTable::New();
  textTable->AddColumn(textArr);
  textArr->Delete();

  // Set order statistics engine
  vtkOrderStatistics* os2 = vtkOrderStatistics::New();

  os2->SetInputData(vtkStatisticsAlgorithm::INPUT_DATA, textTable);
  textTable->Delete();
  os2->AddColumn("Text"); // Add column of interest
  os2->RequestSelectedColumns();

  // Learn, Derive, Test, and Assess with 12 intervals
  os2->SetParameter("QuantileDefinition", 0, 1); // Should be ignored as type is not numeric
  os2->SetParameter("NumberOfIntervals", 0, 12);
  os2->SetLearnOption(true);
  os2->SetDeriveOption(true);
  os2->SetTestOption(true);
  os2->SetAssessOption(true);
  os2->Update();

  // Get output data and meta tables
  vtkTable* outputData2 = os2->GetOutput(vtkStatisticsAlgorithm::OUTPUT_DATA);
  vtkMultiBlockDataSet* outputModelDS2 = vtkMultiBlockDataSet::SafeDownCast(
    os2->GetOutputDataObject(vtkStatisticsAlgorithm::OUTPUT_MODEL));
  nbq = outputModelDS2->GetNumberOfBlocks() - 1;
  vtkTable* outputCard2 = vtkTable::SafeDownCast(outputModelDS2->GetBlock(nbq - 1));
  vtkTable* outputQuantiles2 = vtkTable::SafeDownCast(outputModelDS2->GetBlock(nbq));

  cout << "\n## Input text (punctuation omitted):\n   " << text << "\n";

  cout << "\n## Calculated the following histogram:\n";
  for (unsigned b = 0; b < outputModelDS2->GetNumberOfBlocks() - 2; ++b)
  {
    vtkStdString varName = outputModelDS2->GetMetaData(b)->Get(vtkCompositeDataSet::NAME());
    cout << "   Variable=" << varName << "\n";

    vtkTable* histoTab = vtkTable::SafeDownCast(outputModelDS2->GetBlock(b));
    histoTab->Dump();

    // Check whether total cardinality is correct
    int testIntValue2 = outputCard2->GetValueByName(0, "Cardinality").ToInt();
    if (testIntValue2 != outputData2->GetNumberOfRows())
    {
      vtkGenericWarningMacro("Incorrect histogram count: "
        << testIntValue2 << " != " << outputData2->GetNumberOfRows() << ".");
      testStatus = 1;
    }
  }

  // Calculate quantile-based histogram
  std::map<int, int> histo12Text;
  for (vtkIdType r = 0; r < outputData2->GetNumberOfRows(); ++r)
  {
    ++histo12Text[outputData2->GetValueByName(r, "Quantile(Text)").ToInt()];
  }

  int sum12 = 0;
  cout << "\n## Calculated the following quantization from " << os2->GetNumberOfIntervals()
       << "-quantiles:\n";

  // Calculate representatives
  std::map<int, char> histo12Repr;
  for (std::map<int, int>::iterator it = histo12Text.begin(); it != histo12Text.end(); ++it)
  {
    int quantIdx = it->first;
    int prevqIdx = (it->first ? it->first - 1 : 0);
    int frequVal = it->second;
    sum12 += frequVal;

    std::string lowerVal = outputQuantiles2->GetValueByName(prevqIdx, "Text").ToString();
    std::string upperVal = outputQuantiles2->GetValueByName(quantIdx, "Text").ToString();
    char midVal = (lowerVal[0] + upperVal[0] + 1) / 2;
    histo12Repr[quantIdx] = midVal;

    cout << "   interval " << quantIdx << (quantIdx > 1 ? ": ]" : ": [") << lowerVal[0] << " - "
         << upperVal[0] << "] represented by " << midVal << " with frequency " << frequVal << "\n";
  }

  // Verify that we retrieve the total count
  if (sum12 != outputData2->GetNumberOfRows())
  {
    vtkGenericWarningMacro(
      "Incorrect histogram count: " << sum12 << " != " << outputData2->GetNumberOfRows() << ".");
    testStatus = 1;
  }

  // Quantize text and print it
  cout << "\n## Quantized text with " << histo12Text.size() << " quantizers based on "
       << os2->GetNumberOfIntervals() << "-quantiles :\n   ";
  for (vtkIdType r = 0; r < outputData2->GetNumberOfRows(); ++r)
  {
    cout << histo12Repr[outputData2->GetValueByName(r, "Quantile(Text)").ToInt()];
  }
  cout << "\n";

  // Learn, Derive, Assess, and Test again but with with 100 intervals this time
  os2->SetParameter("QuantileDefinition", 0,
    0); // Does not matter and should be ignored by the engine as the column contains strings
  os2->SetParameter("NumberOfIntervals", 0, 100);
  os2->SetLearnOption(true);
  os2->SetDeriveOption(true);
  os2->SetTestOption(true);
  os2->SetAssessOption(true);
  os2->Update();

  // Get calculated model
  outputModelDS2 = vtkMultiBlockDataSet::SafeDownCast(
    os2->GetOutputDataObject(vtkStatisticsAlgorithm::OUTPUT_MODEL));
  nbq = outputModelDS2->GetNumberOfBlocks() - 1;
  outputQuantiles2 = vtkTable::SafeDownCast(outputModelDS2->GetBlock(nbq));

  cout << "\n## Input text (punctuation omitted):\n   " << text << "\n";

  // Calculate quantile-based histogram
  std::map<int, int> histo100Text;
  for (vtkIdType r = 0; r < outputData2->GetNumberOfRows(); ++r)
  {
    ++histo100Text[outputData2->GetValueByName(r, "Quantile(Text)").ToInt()];
  }

  int sum100 = 0;
  cout << "\n## Calculated the following quantization with " << os2->GetNumberOfIntervals()
       << "-quantiles:\n";

  // Calculate representatives
  std::map<int, char> histo100Repr;
  for (std::map<int, int>::iterator it = histo100Text.begin(); it != histo100Text.end(); ++it)
  {
    int quantIdx = it->first;
    int prevqIdx = (it->first ? it->first - 1 : 0);
    int frequVal = it->second;
    sum100 += frequVal;

    const char* lowerVal = outputQuantiles2->GetValueByName(prevqIdx, "Text").ToString();
    const char* upperVal = outputQuantiles2->GetValueByName(quantIdx, "Text").ToString();
    char midVal = (*lowerVal + *upperVal + 1) / 2;
    histo100Repr[quantIdx] = midVal;

    cout << "   interval " << quantIdx << (quantIdx > 1 ? ": ]" : ": [") << *lowerVal << " - "
         << *upperVal << "] represented by " << midVal << " with frequency " << frequVal << "\n";
  }

  // Verify that we retrieve the total count
  if (sum100 != outputData2->GetNumberOfRows())
  {
    vtkGenericWarningMacro(
      "Incorrect histogram count: " << sum100 << " != " << outputData2->GetNumberOfRows() << ".");
    testStatus = 1;
  }

  // Quantize text and print it
  cout << "\n## Quantized text with " << histo100Text.size() << " quantizers based on "
       << os2->GetNumberOfIntervals() << "-quantiles :\n   ";
  for (vtkIdType r = 0; r < outputData2->GetNumberOfRows(); ++r)
  {
    cout << histo100Repr[outputData2->GetValueByName(r, "Quantile(Text)").ToInt()];
  }
  cout << "\n";

  // Clean up
  os2->Delete();

  return testStatus;
}
