ConvFit.cpp

  // DiffRotDiscreteCircle
  m_uiForm.ckPlotGuess->setEnabled(index < 3);
  m_properties["UseDeltaFunc"]->setEnabled(index < 3);

  updatePlotOptions();
}

/**
 * Add/Remove sub property 'BGA1' from background based on Background type
 * @param index A reference to the Background type
 */
void ConvFit::bgTypeSelection(int index) {
  if (index == 2) {
    m_properties["LinearBackground"]->addSubProperty(m_properties["BGA1"]);
  } else {
    m_properties["LinearBackground"]->removeSubProperty(m_properties["BGA1"]);
  }
}

/**
 * Updates the plot in the gui window
 */
void ConvFit::updatePlot() {
  using Mantid::Kernel::Exception::NotFoundError;

  if (!m_cfInputWS) {
    g_log.error("No workspace loaded, cannot create preview plot.");
    return;
  }

  const bool plotGuess = m_uiForm.ckPlotGuess->isChecked();
  m_uiForm.ckPlotGuess->setChecked(false);

  int specNo = m_uiForm.spPlotSpectrum->text().toInt();

  m_uiForm.ppPlot->clear();
  m_uiForm.ppPlot->addSpectrum("Sample", m_cfInputWS, specNo);

  try {
    const QPair<double, double> curveRange =
        m_uiForm.ppPlot->getCurveRange("Sample");
    const std::pair<double, double> range(curveRange.first, curveRange.second);
    m_uiForm.ppPlot->getRangeSelector("ConvFitRange")
        ->setRange(range.first, range.second);
    m_uiForm.ckPlotGuess->setChecked(plotGuess);
  } catch (std::invalid_argument &exc) {
    showMessageBox(exc.what());
  }

  // Default FWHM to resolution of instrument
  double resolution = getInstrumentResolution(m_cfInputWSName.toStdString());
  if (resolution > 0) {
    m_dblManager->setValue(m_properties["Lorentzian 1.FWHM"], resolution);
    m_dblManager->setValue(m_properties["Lorentzian 2.FWHM"], resolution);
  }

  // If there is a result plot then plot it
  if (AnalysisDataService::Instance().doesExist(m_pythonExportWsName)) {
    WorkspaceGroup_sptr outputGroup =
        AnalysisDataService::Instance().retrieveWS<WorkspaceGroup>(
            m_pythonExportWsName);
    if (specNo >= static_cast<int>(outputGroup->size()))
      return;
    MatrixWorkspace_sptr ws = boost::dynamic_pointer_cast<MatrixWorkspace>(
        outputGroup->getItem(specNo));
    if (ws)
      m_uiForm.ppPlot->addSpectrum("Fit", ws, 1, Qt::red);
  }
}

/**
 * Updates the guess for the plot
 */
void ConvFit::plotGuess() {
  m_uiForm.ppPlot->removeSpectrum("Guess");

  // Do nothing if there is not a sample and resolution
  if (!(m_uiForm.dsSampleInput->isValid() && m_uiForm.dsResInput->isValid() &&
        m_uiForm.ckPlotGuess->isChecked()))
    return;

  bool tieCentres = (m_uiForm.cbFitType->currentIndex() > 1);
  CompositeFunction_sptr function = createFunction(tieCentres);

  if (m_cfInputWS == NULL) {
    updatePlot();
  }

  const size_t binIndexLow =
      m_cfInputWS->binIndexOf(m_dblManager->value(m_properties["StartX"]));
  const size_t binIndexHigh =
      m_cfInputWS->binIndexOf(m_dblManager->value(m_properties["EndX"]));
  const size_t nData = binIndexHigh - binIndexLow;

  std::vector<double> inputXData(nData);
  const Mantid::MantidVec &XValues = m_cfInputWS->readX(0);
  const bool isHistogram = m_cfInputWS->isHistogramData();

  for (size_t i = 0; i < nData; i++) {
    if (isHistogram) {
      inputXData[i] =
          0.5 * (XValues[binIndexLow + i] + XValues[binIndexLow + i + 1]);
    } else {
      inputXData[i] = XValues[binIndexLow + i];
    }
  }

  FunctionDomain1DVector domain(inputXData);
  FunctionValues outputData(domain);
  function->function(domain, outputData);

  QVector<double> dataX, dataY;

  for (size_t i = 0; i < nData; i++) {
    dataX.append(inputXData[i]);
    dataY.append(outputData.getCalculated(i));
  }

  IAlgorithm_sptr createWsAlg =
      AlgorithmManager::Instance().create("CreateWorkspace");
  createWsAlg->initialize();
  createWsAlg->setChild(true);
  createWsAlg->setLogging(false);
  createWsAlg->setProperty("OutputWorkspace", "__GuessAnon");
  createWsAlg->setProperty("NSpec", 1);
  createWsAlg->setProperty("DataX", dataX.toStdVector());
  createWsAlg->setProperty("DataY", dataY.toStdVector());
  createWsAlg->execute();
  MatrixWorkspace_sptr guessWs = createWsAlg->getProperty("OutputWorkspace");

  m_uiForm.ppPlot->addSpectrum("Guess", guessWs, 0, Qt::green);
}

/**
 * Fits a single spectrum to the plot
 */
void ConvFit::singleFit() {
  if (!validate())
    return;

  updatePlot();

  m_uiForm.ckPlotGuess->setChecked(false);

  CompositeFunction_sptr function =
      createFunction(m_uiForm.ckTieCentres->isChecked());

  // get output name
  QString fitType = fitTypeString();
  QString bgType = backgroundString();

  if (fitType == "") {
    g_log.error("No fit type defined!");
  }

  m_singleFitOutputName =
      runPythonCode(
          QString(
              "from IndirectCommon import getWSprefix\nprint getWSprefix('") +
          m_cfInputWSName + QString("')\n"))
          .trimmed();
  m_singleFitOutputName +=
      QString("conv_") + fitType + bgType + m_uiForm.spPlotSpectrum->text();
  int maxIterations =
      static_cast<int>(m_dblManager->value(m_properties["MaxIterations"]));

  m_singleFitAlg = AlgorithmManager::Instance().create("Fit");
  m_singleFitAlg->initialize();
  m_singleFitAlg->setPropertyValue("Function", function->asString());
  m_singleFitAlg->setPropertyValue("InputWorkspace",
                                   m_cfInputWSName.toStdString());
  m_singleFitAlg->setProperty<int>("WorkspaceIndex",
                                   m_uiForm.spPlotSpectrum->text().toInt());
  m_singleFitAlg->setProperty<double>(
      "StartX", m_dblManager->value(m_properties["StartX"]));
  m_singleFitAlg->setProperty<double>(
      "EndX", m_dblManager->value(m_properties["EndX"]));
  m_singleFitAlg->setProperty("Output", m_singleFitOutputName.toStdString());
  m_singleFitAlg->setProperty("CreateOutput", true);
  m_singleFitAlg->setProperty("OutputCompositeMembers", true);
  m_singleFitAlg->setProperty("ConvolveMembers", true);
  m_singleFitAlg->setProperty("MaxIterations", maxIterations);
  m_singleFitAlg->setProperty(
      "Minimizer", minimizerString(m_singleFitOutputName).toStdString());

  m_batchAlgoRunner->addAlgorithm(m_singleFitAlg);
  connect(m_batchAlgoRunner, SIGNAL(batchComplete(bool)), this,
          SLOT(singleFitComplete(bool)));
  m_batchAlgoRunner->executeBatchAsync();
}

/**
 * Handle completion of the fit algorithm for single fit.
 *
 * @param error If the fit algorithm failed
 */
void ConvFit::singleFitComplete(bool error) {
  disconnect(m_batchAlgoRunner, SIGNAL(batchComplete(bool)), this,
             SLOT(singleFitComplete(bool)));

  if (error) {
    showMessageBox("Fit algorithm failed.");
    return;
  }

  // Plot the line on the mini plot
  m_uiForm.ppPlot->removeSpectrum("Guess");
  m_uiForm.ppPlot->addSpectrum("Fit", m_singleFitOutputName + "_Workspace", 1,
                               Qt::red);

  IFunction_sptr outputFunc = m_singleFitAlg->getProperty("Function");

  // Get params.
  QMap<QString, double> parameters;
  std::vector<std::string> parNames = outputFunc->getParameterNames();
  std::vector<double> parVals;

  for (size_t i = 0; i < parNames.size(); ++i)
    parVals.push_back(outputFunc->getParameter(parNames[i]));

  for (size_t i = 0; i < parNames.size(); ++i)
    parameters[QString(parNames[i].c_str())] = parVals[i];

  // Populate Tree widget with values
  // Background should always be f0
  m_dblManager->setValue(m_properties["BGA0"], parameters["f0.A0"]);
  m_dblManager->setValue(m_properties["BGA1"], parameters["f0.A1"]);

  int fitTypeIndex = m_uiForm.cbFitType->currentIndex();

  int funcIndex = 0;
  int subIndex = 0;

  // check if we're using a temperature correction
  if (m_uiForm.ckTempCorrection->isChecked() &&
      !m_uiForm.leTempCorrection->text().isEmpty()) {
    subIndex++;
  }

  bool usingDeltaFunc = m_blnManager->value(m_properties["UseDeltaFunc"]);

  // If using a delta function with any fit type or using two Lorentzians
  bool usingCompositeFunc =
      ((usingDeltaFunc && fitTypeIndex > 0) || fitTypeIndex == 2);

  QString prefBase = "f1.f1.";

  if (usingDeltaFunc) {
    QString key = prefBase;
    if (usingCompositeFunc) {
      key += "f0.";
    }

    key += "Height";

    m_dblManager->setValue(m_properties["DeltaHeight"], parameters[key]);
    funcIndex++;
  }

  if (fitTypeIndex == 1 || fitTypeIndex == 2) {
    // One Lorentz
    QString pref = prefBase;

    if (usingCompositeFunc) {
      pref += "f" + QString::number(funcIndex) + ".f" +
              QString::number(subIndex) + ".";
    } else {
      pref += "f" + QString::number(subIndex) + ".";
    }

    m_dblManager->setValue(m_properties["Lorentzian 1.Amplitude"],
                           parameters[pref + "Amplitude"]);
    m_dblManager->setValue(m_properties["Lorentzian 1.PeakCentre"],
                           parameters[pref + "PeakCentre"]);
    m_dblManager->setValue(m_properties["Lorentzian 1.FWHM"],
                           parameters[pref + "FWHM"]);
    funcIndex++;
  }

  if (fitTypeIndex == 2) {
    // Two Lorentz
    QString pref = prefBase;
    pref += "f" + QString::number(funcIndex) + ".f" +
            QString::number(subIndex) + ".";

    m_dblManager->setValue(m_properties["Lorentzian 2.Amplitude"],
                           parameters[pref + "Amplitude"]);
    m_dblManager->setValue(m_properties["Lorentzian 2.PeakCentre"],
                           parameters[pref + "PeakCentre"]);
    m_dblManager->setValue(m_properties["Lorentzian 2.FWHM"],
                           parameters[pref + "FWHM"]);
  }

  if (fitTypeIndex == 3) {
    // DiffSphere
    QString pref = prefBase;

    if (usingCompositeFunc) {
      pref += "f" + QString::number(funcIndex) + ".f" +
              QString::number(subIndex) + ".";
    } else {
      pref += "f" + QString::number(subIndex) + ".";
    }

    m_dblManager->setValue(m_properties["Diffusion Sphere.Intensity"],
                           parameters[pref + "Intensity"]);
    m_dblManager->setValue(m_properties["Diffusion Sphere.Radius"],
                           parameters[pref + "Radius"]);
    m_dblManager->setValue(m_properties["Diffusion Sphere.Diffusion"],
                           parameters[pref + "Diffusion"]);
    m_dblManager->setValue(m_properties["Diffusion Sphere.Shift"],
                           parameters[pref + "Shift"]);
  }

  if (fitTypeIndex == 4) {
    // DiffSphere
    QString pref = prefBase;

    if (usingCompositeFunc) {
      pref += "f" + QString::number(funcIndex) + ".f" +
              QString::number(subIndex) + ".";
    } else {
      pref += "f" + QString::number(subIndex) + ".";
    }

    m_dblManager->setValue(m_properties["Diffusion Circle.Intensity"],
                           parameters[pref + "Intensity"]);
    m_dblManager->setValue(m_properties["Diffusion Circle.Radius"],
                           parameters[pref + "Radius"]);
    m_dblManager->setValue(m_properties["Diffusion Circle.Decay"],
                           parameters[pref + "Decay"]);
    m_dblManager->setValue(m_properties["Diffusion Circle.Shift"],
                           parameters[pref + "Shift"]);
  }

  m_pythonExportWsName = "";
}

/**
 * Handles the user entering a new minimum spectrum index.
 *
 * Prevents the user entering an overlapping spectra range.
 *
 * @param value Minimum spectrum index
 */
void ConvFit::specMinChanged(int value) {
  m_uiForm.spSpectraMax->setMinimum(value);
}

/**
 * Handles the user entering a new maximum spectrum index.
 *
 * Prevents the user entering an overlapping spectra range.
 *
 * @param value Maximum spectrum index
 */
void ConvFit::specMaxChanged(int value) {
  m_uiForm.spSpectraMin->setMaximum(value);
}

void ConvFit::minChanged(double val) {
  m_dblManager->setValue(m_properties["StartX"], val);
}

void ConvFit::maxChanged(double val) {
  m_dblManager->setValue(m_properties["EndX"], val);
}

void ConvFit::hwhmChanged(double val) {
  const double peakCentre =
      m_dblManager->value(m_properties["Lorentzian 1.PeakCentre"]);
  // Always want FWHM to display as positive.
  const double hwhm = std::fabs(val - peakCentre);
  // Update the property
  auto hwhmRangeSelector = m_uiForm.ppPlot->getRangeSelector("ConvFitHWHM");
  hwhmRangeSelector->blockSignals(true);
  m_dblManager->setValue(m_properties["Lorentzian 1.FWHM"], hwhm * 2);
  hwhmRangeSelector->blockSignals(false);
}

void ConvFit::backgLevel(double val) {
  m_dblManager->setValue(m_properties["BGA0"], val);
}

void ConvFit::updateRS(QtProperty *prop, double val) {
  auto fitRangeSelector = m_uiForm.ppPlot->getRangeSelector("ConvFitRange");
  auto backRangeSelector =
      m_uiForm.ppPlot->getRangeSelector("ConvFitBackRange");

  if (prop == m_properties["StartX"]) {
    fitRangeSelector->setMinimum(val);
  } else if (prop == m_properties["EndX"]) {
    fitRangeSelector->setMaximum(val);
  } else if (prop == m_properties["BGA0"]) {
    backRangeSelector->setMinimum(val);
  } else if (prop == m_properties["Lorentzian 1.FWHM"]) {
    hwhmUpdateRS(val);
  } else if (prop == m_properties["Lorentzian 1.PeakCentre"]) {
    hwhmUpdateRS(m_dblManager->value(m_properties["Lorentzian 1.FWHM"]));
  }
}

void ConvFit::hwhmUpdateRS(double val) {
  const double peakCentre =
      m_dblManager->value(m_properties["Lorentzian 1.PeakCentre"]);
  auto hwhmRangeSelector = m_uiForm.ppPlot->getRangeSelector("ConvFitHWHM");
  hwhmRangeSelector->setMinimum(peakCentre - val / 2);
  hwhmRangeSelector->setMaximum(peakCentre + val / 2);
}

void ConvFit::checkBoxUpdate(QtProperty *prop, bool checked) {
  UNUSED_ARG(checked);

  if (prop == m_properties["UseDeltaFunc"])
    updatePlotOptions();
  else if (prop == m_properties["UseFABADA"]) {
    if (checked) {
      // FABADA needs a much higher iteration limit
      m_dblManager->setValue(m_properties["MaxIterations"], 20000);

      m_properties["FABADA"]->addSubProperty(m_properties["OutputFABADAChain"]);
      m_properties["FABADA"]->addSubProperty(m_properties["FABADAChainLength"]);
      m_properties["FABADA"]->addSubProperty(
          m_properties["FABADAConvergenceCriteria"]);
      m_properties["FABADA"]->addSubProperty(
          m_properties["FABADAJumpAcceptanceRate"]);
    } else {
      m_dblManager->setValue(m_properties["MaxIterations"], 500);

      m_properties["FABADA"]->removeSubProperty(
          m_properties["OutputFABADAChain"]);
      m_properties["FABADA"]->removeSubProperty(
          m_properties["FABADAChainLength"]);
      m_properties["FABADA"]->removeSubProperty(
          m_properties["FABADAConvergenceCriteria"]);
      m_properties["FABADA"]->removeSubProperty(
          m_properties["FABADAJumpAcceptanceRate"]);
    }
  }
}

void ConvFit::fitContextMenu(const QPoint &) {
  QtBrowserItem *item(NULL);

  item = m_cfTree->currentItem();

  if (!item)
    return;

  // is it a fit property ?
  QtProperty *prop = item->property();
  if (prop == m_properties["StartX"] || prop == m_properties["EndX"])
    return;

  // is it already fixed?
  bool fixed = prop->propertyManager() != m_dblManager;
  if (fixed && prop->propertyManager() != m_stringManager)
    return;

  // Create the menu
  QMenu *menu = new QMenu("ConvFit", m_cfTree);
  QAction *action;

  if (!fixed) {
    action = new QAction("Fix", m_parentWidget);
    connect(action, SIGNAL(triggered()), this, SLOT(fixItem()));
  } else {
    action = new QAction("Remove Fix", m_parentWidget);
    connect(action, SIGNAL(triggered()), this, SLOT(unFixItem()));
  }

  menu->addAction(action);

  // Show the menu
  menu->popup(QCursor::pos());
}

void ConvFit::fixItem() {
  QtBrowserItem *item = m_cfTree->currentItem();

  // Determine what the property is.
  QtProperty *prop = item->property();
  QtProperty *fixedProp = m_stringManager->addProperty(prop->propertyName());
  QtProperty *fprlbl = m_stringManager->addProperty("Fixed");
  fixedProp->addSubProperty(fprlbl);
  m_stringManager->setValue(fixedProp, prop->valueText());

  item->parent()->property()->addSubProperty(fixedProp);

  m_fixedProps[fixedProp] = prop;

  item->parent()->property()->removeSubProperty(prop);
}

void ConvFit::unFixItem() {
  QtBrowserItem *item = m_cfTree->currentItem();

  QtProperty *prop = item->property();
  if (prop->subProperties().empty()) {
    item = item->parent();
    prop = item->property();
  }

  item->parent()->property()->addSubProperty(m_fixedProps[prop]);
  item->parent()->property()->removeSubProperty(prop);
  m_fixedProps.remove(prop);
  QtProperty *proplbl = prop->subProperties()[0];
  delete proplbl;
  delete prop;
}

void ConvFit::showTieCheckbox(QString fitType) {
  m_uiForm.ckTieCentres->setVisible(fitType == "Two Lorentzians");
}

void ConvFit::updatePlotOptions() {
  m_uiForm.cbPlotType->clear();

  bool deltaFunction = m_blnManager->value(m_properties["UseDeltaFunc"]);

  QStringList plotOptions;
  plotOptions << "None";

  if (deltaFunction)
    plotOptions << "Height";

  switch (m_uiForm.cbFitType->currentIndex()) {
  // Lorentzians
  case 1:
  case 2:
    plotOptions << "Amplitude"
                << "FWHM";
    if (deltaFunction)
      plotOptions << "EISF";
    break;

  // DiffSphere
  case 3:
    plotOptions << "Intensity"
                << "Radius"
                << "Diffusion"
                << "Shift";
    break;

  // DiffRotDiscreteCircle
  case 4:
    plotOptions << "Intensity"
                << "Radius"
                << "Decay"
                << "Shift";
    break;

  default:
    break;
  }

  plotOptions << "All";
  m_uiForm.cbPlotType->addItems(plotOptions);
}








/**
 * Gets a list of parameters for a given fit function.
 *
 * @return List fo parameters
 */
QStringList ConvFit::getFunctionParameters(const QString &functionName) {
  QStringList parameters;

  IFunction_sptr func =
      FunctionFactory::Instance().createFunction(functionName.toStdString());

  for (size_t i = 0; i < func->nParams(); i++)
    parameters << QString::fromStdString(func->parameterName(i));

  return parameters;
}

/**
 * Handles a new fit function being selected.
 *
 * @param functionName Name of new fit function
 */
void ConvFit::fitFunctionSelected(const QString &functionName) {
  // Remove current parameter elements
  if (functionName.compare("Zero Lorentzians") == 0) {
    return;
  } else {
    for (auto it = m_properties.begin(); it != m_properties.end();) {
      if (it.key().startsWith("parameter_")) {
        delete it.value();
        it = m_properties.erase(it);
      } else {
        ++it;
      }
    }

    // Don't run the algorithm when updating parameter values
    /*disconnect(m_dblManager, SIGNAL(valueChanged(QtProperty *, double)), this,
               SLOT(runPreviewAlgorithm()));*/

    // Add new parameter elements
    QStringList parameters = getFunctionParameters(functionName);
    for (auto it = parameters.begin(); it != parameters.end(); ++it) {
      QString name = "parameter_" + *it;
      m_properties[name] = m_dblManager->addProperty(*it);
      m_dblManager->setValue(m_properties[name], 1.0);
      m_properties["FitFunction"]->addSubProperty(m_properties[name]);
    }

    /*connect(m_dblManager, SIGNAL(valueChanged(QtProperty *, double)), this,
            SLOT(runPreviewAlgorithm()));*/

    // runPreviewAlgorithm();
  }
}



















} // namespace IDA
} // namespace CustomInterfaces
} // namespace MantidQt