public async Task <HttpResponseMessage> GetSongGenre(Guid id)
{
BlobPathModel blobModel = new BlobPathModel
{
blob_path = String.Format("{0}/music.mp3", id)
};
var json = new JavaScriptSerializer().Serialize(blobModel);
var response = GetMLParameterFromBlobPath(json);
if (!string.IsNullOrEmpty(response))
{
AzureSongModel model = MapResponseToAzureSongModel(response, id);
var songGenre = await GetSongGenreFromAzureML(model);
if (!string.IsNullOrEmpty(songGenre))
{
return(Request.CreateResponse(HttpStatusCode.OK, songGenre));
}
else
{
return(Request.CreateResponse(HttpStatusCode.BadRequest));
}
}
else
{
return(Request.CreateResponse(HttpStatusCode.BadRequest));
}
}
private async Task <string> GetSongGenreFromAzureML(AzureSongModel model)
{
var scoreRequest = new
{
Inputs = new Dictionary <string, StringTable>()
{
{
"input1",
new StringTable()
{
ColumnNames = new string[] { "song_name", "song_length", "tempo", "total_beats", "average_beats", "zcr_mean", "zcr_var", "zcr_std", "cent_mean", "cent_var", "cent_std", "rolloff_mean",
"rolloff_var", "rolloff_std", "chroma_mean", "chroma_var", "chroma_std", "chroma_cqt_mean", "chroma_cqt_var", "chroma_cqt_std", "chroma_cens_mean", "chroma_cens_var",
"chroma_cens_std", "mfccs_mean", "mfccs_var", "mfccs_std", "mfcc_delta_mean", "mfcc_delta_var", "mfcc_delta_std", "mel_mean", "mel_var", "mel_std", "tonnetz_mean",
"tonnetz_var", "tonnetz_std", "spec_bw_mean", "spec_bw_var", "spec_bw_std", "spec_con_mean", "spec_con_var", "spec_con_std", "harmonic_mean", "harmonic_var",
"harmonic_std", "percussive_mean", "percussive_var", "percussive_std", "genre" },
Values = new string[, ] {
{ model.Song_name, model.Song_length.ToString(), model.Tempo.ToString(), model.Total_beats.ToString(), model.Average_beats.ToString(), model.Zcr_mean.ToString(), model.Zcr_var.ToString(), model.Zcr_std.ToString(),
model.Cent_mean.ToString(), model.Cent_var.ToString(), model.Cent_std.ToString(), model.Rolloff_mean.ToString(), model.Rolloff_var.ToString(), model.Rolloff_std.ToString(), model.Chroma_mean.ToString(),
model.Chroma_var.ToString(), model.Chroma_std.ToString(), model.Chroma_cqt_mean.ToString(), model.Chroma_cqt_var.ToString(), model.Chroma_cqt_std.ToString(), model.Chroma_cens_mean.ToString(),
model.Chroma_cens_var.ToString(), model.Chroma_cens_std.ToString(), model.Mfccs_mean.ToString(), model.Mfccs_var.ToString(), model.Mfccs_std.ToString(), model.Mfcc_delta_mean.ToString(),
model.Mfcc_delta_var.ToString(), model.Mfcc_delta_std.ToString(), model.Mel_mean.ToString(), model.Mel_var.ToString(), model.Mel_std.ToString(), model.Tonnetz_mean.ToString(), model.Tonnetz_var.ToString(),
model.Tonnetz_std.ToString(), model.Spec_bw_mean.ToString(), model.Spec_bw_var.ToString(), model.Spec_bw_std.ToString(), model.Spec_con_mean.ToString(), model.Spec_con_var.ToString(), model.Spec_con_std.ToString(),
model.Harmonic_mean.ToString(), model.Harmonic_var.ToString(), model.Harmonic_std.ToString(), model.Percussive_mean.ToString(), model.Percussive_var.ToString(), model.Percussive_std.ToString(), "" },
{ model.Song_name, model.Song_length.ToString(), model.Tempo.ToString(), model.Total_beats.ToString(), model.Average_beats.ToString(), model.Zcr_mean.ToString(), model.Zcr_var.ToString(), model.Zcr_std.ToString(),
model.Cent_mean.ToString(), model.Cent_var.ToString(), model.Cent_std.ToString(), model.Rolloff_mean.ToString(), model.Rolloff_var.ToString(), model.Rolloff_std.ToString(), model.Chroma_mean.ToString(),
model.Chroma_var.ToString(), model.Chroma_std.ToString(), model.Chroma_cqt_mean.ToString(), model.Chroma_cqt_var.ToString(), model.Chroma_cqt_std.ToString(), model.Chroma_cens_mean.ToString(),
model.Chroma_cens_var.ToString(), model.Chroma_cens_std.ToString(), model.Mfccs_mean.ToString(), model.Mfccs_var.ToString(), model.Mfccs_std.ToString(), model.Mfcc_delta_mean.ToString(),
model.Mfcc_delta_var.ToString(), model.Mfcc_delta_std.ToString(), model.Mel_mean.ToString(), model.Mel_var.ToString(), model.Mel_std.ToString(), model.Tonnetz_mean.ToString(), model.Tonnetz_var.ToString(),
model.Tonnetz_std.ToString(), model.Spec_bw_mean.ToString(), model.Spec_bw_var.ToString(), model.Spec_bw_std.ToString(), model.Spec_con_mean.ToString(), model.Spec_con_var.ToString(), model.Spec_con_std.ToString(),
model.Harmonic_mean.ToString(), model.Harmonic_var.ToString(), model.Harmonic_std.ToString(), model.Percussive_mean.ToString(), model.Percussive_var.ToString(), model.Percussive_std.ToString(), "" },
}
}
},
},
GlobalParameters = new Dictionary <string, string>()
{
}
};
SetClient();
HttpResponseMessage response = await client.PostAsJsonAsync("", scoreRequest);
if (response.IsSuccessStatusCode)
{
string result = await response.Content.ReadAsStringAsync();
JObject jObject = JObject.Parse(result);
JToken jUser = jObject["Results"]["output1"]["value"]["Values"][0].Last;
return(CultureInfo.CurrentCulture.TextInfo.ToTitleCase(jUser.ToString()));
}
else
{
return(String.Empty);
}
}
private AzureSongModel MapResponseToAzureSongModel(string message, Guid id)
{
AzureSongModel songModel = new AzureSongModel();
string[] stringValues = message.Split(',');
decimal[] decimalValues = new decimal[46];
if (stringValues.Length == 46)
{
int i = 0;
foreach (var value in stringValues)
{
decimalValues[i] = decimal.Parse(value, NumberStyles.Float, CultureInfo.InvariantCulture);
i++;
}
songModel.Song_name = id.ToString();
songModel.Song_length = decimalValues[0];
songModel.Tempo = decimalValues[1];
songModel.Total_beats = decimalValues[2];
songModel.Average_beats = decimalValues[3];
songModel.Zcr_mean = decimalValues[4];
songModel.Zcr_var = decimalValues[5];
songModel.Zcr_std = decimalValues[6];
songModel.Cent_mean = decimalValues[7];
songModel.Cent_var = decimalValues[8];
songModel.Cent_std = decimalValues[9];
songModel.Rolloff_mean = decimalValues[10];
songModel.Rolloff_var = decimalValues[11];
songModel.Rolloff_std = decimalValues[12];
songModel.Chroma_mean = decimalValues[13];
songModel.Chroma_var = decimalValues[14];
songModel.Chroma_std = decimalValues[15];
songModel.Chroma_cqt_mean = decimalValues[16];
songModel.Chroma_cqt_var = decimalValues[17];
songModel.Chroma_cqt_std = decimalValues[18];
songModel.Chroma_cens_mean = decimalValues[19];
songModel.Chroma_cens_var = decimalValues[20];
songModel.Chroma_cens_std = decimalValues[21];
songModel.Mfccs_mean = decimalValues[22];
songModel.Mfccs_var = decimalValues[23];
songModel.Mfccs_std = decimalValues[24];
songModel.Mfcc_delta_mean = decimalValues[25];
songModel.Mfcc_delta_var = decimalValues[26];
songModel.Mfcc_delta_std = decimalValues[27];
songModel.Mel_mean = decimalValues[28];
songModel.Mel_var = decimalValues[29];
songModel.Mel_std = decimalValues[30];
songModel.Tonnetz_mean = decimalValues[31];
songModel.Tonnetz_var = decimalValues[32];
songModel.Tonnetz_std = decimalValues[33];
songModel.Spec_bw_mean = decimalValues[34];
songModel.Spec_bw_var = decimalValues[35];
songModel.Spec_bw_std = decimalValues[36];
songModel.Spec_con_mean = decimalValues[37];
songModel.Spec_con_var = decimalValues[38];
songModel.Spec_con_std = decimalValues[39];
songModel.Harmonic_mean = decimalValues[40];
songModel.Harmonic_var = decimalValues[41];
songModel.Harmonic_std = decimalValues[42];
songModel.Percussive_mean = decimalValues[43];
songModel.Percussive_var = decimalValues[44];
songModel.Percussive_std = decimalValues[45];
}
return(songModel);
}
