void OptimizeImage(bool lossy)
{
_isProcessing = true;
CompressionResult[] list = new CompressionResult[_selectedPaths.Count];
var stopwatch = Stopwatch.StartNew();
try
{
string text = _selectedPaths.Count == 1 ? " image" : " images";
_dte.StatusBar.Progress(true, "Optimizing " + _selectedPaths.Count + text + "...", AmountCompleted: 1, Total: _selectedPaths.Count + 1);
Compressor compressor = new Compressor();
Cache cache = new Cache(_dte.Solution, lossy);
int nCompleted = 0;
var options = new ParallelOptions {
MaxDegreeOfParallelism = Environment.ProcessorCount
};
Parallel.For(0, _selectedPaths.Count, options, i =>
{
string file = _selectedPaths[i];
// Don't process if file has been fully optimized already
if (cache.IsFullyOptimized(file))
{
var bogus = new CompressionResult(file, file, TimeSpan.Zero)
{
Processed = false
};
HandleResult(bogus, nCompleted + 1);
}
else
{
var result = compressor.CompressFileAsync(file, lossy);
HandleResult(result, nCompleted + 1);
if (result.Saving > 0 && !string.IsNullOrEmpty(result.ResultFileName))
{
list[i] = result;
}
else
{
cache.AddToCache(file);
}
}
Interlocked.Increment(ref nCompleted);
});
}
finally
{
_dte.StatusBar.Progress(false);
stopwatch.Stop();
DisplayEndResult(list, stopwatch.Elapsed);
_isProcessing = false;
}
}
private async void OptimizeImageAsync(bool lossy)
{
_isProcessing = true;
IEnumerable <string> files = ProjectHelpers.GetSelectedFilePaths(_dte).Where(f => Compressor.IsFileSupported(f));
if (!files.Any())
{
_dte.StatusBar.Text = "No images found to optimize";
_isProcessing = false;
return;
}
var list = new CompressionResult[files.Count()];
var stopwatch = Stopwatch.StartNew();
int count = files.Count();
await Task.Run(async() =>
{
try
{
string text = count == 1 ? " image" : " images";
_dte.StatusBar.Progress(true, "Optimizing " + count + text + "...", AmountCompleted: 1, Total: count + 1);
var compressor = new Compressor();
var cache = new Cache(_dte.Solution, lossy);
int nCompleted = 0;
var options = new ParallelOptions {
MaxDegreeOfParallelism = Environment.ProcessorCount
};
Parallel.For(0, count, options, i =>
{
string file = files.ElementAt(i);
// Don't process if file has been fully optimized already
if (cache.IsFullyOptimized(file))
{
var bogus = new CompressionResult(file, file, TimeSpan.Zero)
{
Processed = false
};
HandleResult(bogus, nCompleted + 1);
}
else
{
CompressionResult result = compressor.CompressFileAsync(file, lossy);
HandleResult(result, nCompleted + 1);
if (result.Saving > 0 && result.ResultFileSize > 0 && !string.IsNullOrEmpty(result.ResultFileName))
{
list[i] = result;
}
else
{
cache.AddToCache(file);
}
}
Interlocked.Increment(ref nCompleted);
});
}
finally
{
_dte.StatusBar.Progress(false);
stopwatch.Stop();
await DisplayEndResultAsync(list, stopwatch.Elapsed);
_isProcessing = false;
}
});
}
private async System.Threading.Tasks.Task OptimizeImage(object sender, EventArgs e)
{
string text = _selectedPaths.Count == 1 ? " image" : " images";
_dte.StatusBar.Progress(true, "Optimizing " + _selectedPaths.Count + text + "...", AmountCompleted: 1, Total: _selectedPaths.Count + 1);
Compressor compressor = new Compressor();
List<CompressionResult> list = new List<CompressionResult>();
for (int i = 0; i < _selectedPaths.Count; i++)
{
string file = _selectedPaths[i];
var result = await compressor.CompressFileAsync(file);
HandleResult(result, i + 1);
if (File.Exists(result.ResultFileName))
File.Delete(result.ResultFileName);
if (result.Saving > 0 && !string.IsNullOrEmpty(result.ResultFileName))
{
list.Add(result);
Telemetry.TrackEvent(Path.GetExtension(file).ToLowerInvariant().Replace(".jpeg", ".jpg"));
}
else
{
Telemetry.TrackEvent("Already optimized");
}
}
_dte.StatusBar.Progress(false);
DisplayEndResult(list);
}