internal Bitmap Resolve()
{
_resolvedMasterName = string.Empty;
if (System.IO.Directory.Exists(_path) == false)
{
return(null);
}
// Get the current Dimensions (and its the values) for what the user cares about
Dictionary <IMasterDimension, string> expectedDimensions = GetCurrentCriteriaValue();
// Get all masters with for this testcase
string[] files = System.IO.Directory.GetFiles(_path, FileName);
// Loop thru all potential masters
int[] matchingScores = new int[files.Length];
for (int fileIndex = 0; fileIndex < files.Length; fileIndex++)
{
matchingScores[fileIndex] = 0;
MasterMetadata masterMetadata = null;
using (Image img = new Bitmap(files[fileIndex]))
{
// Retrieve Image metadata (Description and Criteria) for each master
masterMetadata = ImageMetadata.MetadataFromImage(img);
}
// Check that every master dimensions are required by the user
foreach (KeyValuePair <IMasterDimension, string> masterDim in masterMetadata.Criteria)
{
if (expectedDimensions.ContainsKey(masterDim.Key) == false)
{
// User did not specfy this Dimension
matchingScores[fileIndex] = -1;
break;
}
if (expectedDimensions[masterDim.Key].ToLowerInvariant() != masterDim.Value.ToLowerInvariant())
{
// Dimension specified by user but this machine is not the right value.
matchingScores[fileIndex] = -1;
break;
}
matchingScores[fileIndex] += _weightedCriteria[masterDim.Key];
}
}
// Find the best master
int bestMatchIndex = -1;
int bestScore = -1;
for (int t = 0; t < matchingScores.Length; t++)
{
if (matchingScores[t] > bestScore)
{
bestScore = matchingScores[t];
bestMatchIndex = t;
}
}
if (bestMatchIndex == -1)
{
return(null);
}
_resolvedMasterName = files[bestMatchIndex];
return(new Bitmap(files[bestMatchIndex]));
}
private void DoVscanCompare(object asyncData)
{
AsyncData data = asyncData as AsyncData;
if (data == null)
{
throw new ArgumentException("Parameter passed in to the Method not of type AsyncData (or null)", "asyncData");
}
ImageComparator ic = new ImageComparator();
ic.Curve.CurveTolerance.LoadTolerance(data.ToleranceSettings.XmlNodeTolerance);
IImageAdapter masterAdapter = new ImageAdapter(data.MasterImage);
IImageAdapter capturedAdapter = new ImageAdapter(data.CapturedImage);
// compare Master to the Capture image using the Compare overload that will scale the images size accounting for the DPI
data.Result.Succeeded = ic.Compare(masterAdapter, MetadataInfoHelper.GetDpi(masterAdapter), capturedAdapter, MetadataInfoHelper.GetDpi(capturedAdapter), false);
if (data.Result.Succeeded == false)
{
Microsoft.Test.Logging.GlobalLog.LogStatus("Regular comparison failed");
}
// On filaure, check if user whats to filter the image ( IgnoreAntiAliasing will do )
IImageAdapter masterFiltered = null;
IImageAdapter captureFiltered = null;
if (data.Result.Succeeded == false && data.ToleranceSettings.Filter != null)
{
// first save error diff image
string errorDiffName = ".\\ErrorDiff_" + data.Index + IMAGE_EXTENSION;
ImageUtility.ToImageFile(ic.GetErrorDifference(ErrorDifferenceType.IgnoreAlpha), errorDiffName);
Microsoft.Test.Logging.GlobalLog.LogFile(errorDiffName);
// Compare failed, filter the images and retry
Microsoft.Test.Logging.GlobalLog.LogStatus("Filtering and recompare");
masterFiltered = data.ToleranceSettings.Filter.Process(masterAdapter);
captureFiltered = data.ToleranceSettings.Filter.Process(capturedAdapter);
data.Result.Succeeded = ic.Compare(masterFiltered, captureFiltered, false);
if (data.Result.Succeeded == false)
{
Microsoft.Test.Logging.GlobalLog.LogStatus("==> Filtered comparison failed as well");
}
}
if (data.Result.Succeeded)
{
Microsoft.Test.Logging.GlobalLog.LogStatus("Comparison SUCCEEDED.");
}
else
{
// Save Masters * filtered master for easy analysis
string masterName = ".\\Master_" + data.Index + IMAGE_EXTENSION;
data.MasterImage.Save(masterName, System.Drawing.Imaging.ImageFormat.Tiff);
Microsoft.Test.Logging.GlobalLog.LogFile(masterName);
if (masterFiltered != null)
{
string filteredMasterName = ".\\MasterFiltered_" + data.Index + IMAGE_EXTENSION;
using (Bitmap filteredMaster = ImageUtility.ToBitmap(masterFiltered))
{
SetMetadataToImage(filteredMaster);
filteredMaster.Save(filteredMasterName, System.Drawing.Imaging.ImageFormat.Tiff);
}
Microsoft.Test.Logging.GlobalLog.LogFile(filteredMasterName);
}
// Save rendered image (as "Actual_n") for easy analysis
string capturedName = ".\\Actual_" + data.Index + IMAGE_EXTENSION;
data.CapturedImage.Save(capturedName, System.Drawing.Imaging.ImageFormat.Tiff);
Microsoft.Test.Logging.GlobalLog.LogFile(capturedName);
// Save actual filtered for easy analysis
if (captureFiltered != null)
{
string filteredRenderedName = ".\\ActualFiltered_" + data.Index + IMAGE_EXTENSION;
using (Bitmap filteredRendered = ImageUtility.ToBitmap(captureFiltered))
{
SetMetadataToImage(filteredRendered);
filteredRendered.Save(filteredRenderedName, System.Drawing.Imaging.ImageFormat.Tiff);
}
Microsoft.Test.Logging.GlobalLog.LogFile(filteredRenderedName);
}
// Master might need to be updated, save with correct name and metadata
//
// In this image, encode full criteria
string name = System.IO.Path.GetFileName(data.MasterName);
string originalName = name.Replace(IMAGE_EXTENSION, "_FullCtriteria" + IMAGE_EXTENSION);
Microsoft.Test.Logging.GlobalLog.LogStatus("Saving master with all criteria (new master) as '" + originalName + "'");
SetMetadataToImage(data.CapturedImage);
data.CapturedImage.Save(originalName, System.Drawing.Imaging.ImageFormat.Tiff);
Microsoft.Test.Logging.GlobalLog.LogFile(originalName);
//
// In this image, encode only criteria that match the master
string originalNameFull = name.Replace(IMAGE_EXTENSION, "_MatchingCriteria" + IMAGE_EXTENSION);
Microsoft.Test.Logging.GlobalLog.LogStatus("Saving master with matching criteria encoded (to replace previous master) as '" + originalNameFull + "'");
MasterMetadata metadata = ImageMetadata.MetadataFromImage(data.MasterImage);
// Keep master Criteria but update its Description.
IMasterDimension[] keys = new IMasterDimension[metadata.Description.Count];
metadata.Description.Keys.CopyTo(keys, 0);
for (int t = 0; t < keys.Length; t++)
{
metadata.Description[keys[t]] = keys[t].GetCurrentValue();
}
ImageMetadata.SetMetadataToImage(metadata, data.CapturedImage);
data.CapturedImage.Save(originalNameFull, System.Drawing.Imaging.ImageFormat.Tiff);
Microsoft.Test.Logging.GlobalLog.LogFile(originalNameFull);
// first save error diff image
string errorDiffFilterName = ".\\ErrorDiffFiltered_" + data.Index + IMAGE_EXTENSION;
if (data.ToleranceSettings.Filter == null)
{
// Not filter were applied, change name (so it's not confusing)
errorDiffFilterName = ".\\ErrorDiff_" + data.Index + IMAGE_EXTENSION;
}
ImageUtility.ToImageFile(ic.GetErrorDifference(ErrorDifferenceType.IgnoreAlpha), errorDiffFilterName);
Microsoft.Test.Logging.GlobalLog.LogFile(errorDiffFilterName);
}
data.Result.IsCompleted = true;
if (data.SynchronizationObject != null)
{
data.SynchronizationObject.Set();
}
}
