/// <summary>
/// Analyzes an image of a dog. Stores the image in blob storage, processes against the AI,
/// and stores the result data before returning
/// </summary>
/// <param name="fileName">Name of the uploaded file</param>
/// <param name="imageDate">The actual image</param>
/// <returns>The result of the request with a submitted dog object</returns>
public async Task <Result <SubmittedDog> > AnalyzeDogImageAsync(string fileName, byte[] imageDate)
{
try
{
// validate input
if (string.IsNullOrEmpty(fileName) || imageDate == null)
{
return(new InvalidResult <SubmittedDog>("Invalid image uploaded."));
}
// format filename
var rgx = new Regex("[^a-zA-Z0-9-. -]");
fileName = rgx.Replace(fileName, "");
fileName = Guid.NewGuid().ToString() + fileName; // add guid to make unique
// submit the image data to blob storage
var imageUrl = await _blobStorageProvider.UploadImageAsync(fileName, imageDate);
if (string.IsNullOrEmpty(imageUrl))
{
return(new InvalidResult <SubmittedDog>("Error uploading image file"));
}
// submit image to breed detection
var detectedBreedResult = await _breedDetectionProvider.SubmitDogAsync(new ProcessDogRequest
{
IsTest = false,
FaceName = imageUrl,
FaceUrl = imageUrl,
Version = "001"
});
// add submitted info to repository
var entity = new SubmittedDog
{
BreedName = detectedBreedResult.BreedName,
BreedDetails = detectedBreedResult.Keywords,
ImageUrl = imageUrl,
CreatedDate = DateTime.UtcNow,
ModifiedDate = DateTime.UtcNow
};
var finalEntity = await _submittedDogRepository.AddAsync(entity);
// return result
return(new SuccessResult <SubmittedDog>(finalEntity));
}
catch (Exception ex)
{
Console.WriteLine("Error analyzing dog image:");
Console.WriteLine(ex);
return(new UnexpectedResult <SubmittedDog>());
}
}