private async Task CalculateProbability(PredictionRequestFile predictionRequestFile, PredictionResponseItem predictionResponseItem)
{
string apiKey = this.serviceConfiguration.PredictionServiceKey;
string apiUrl = this.serviceConfiguration.PredictionServiceUrl;
var configurationTypeFullyQualifiedName = this.serviceConfiguration.PredictionServiceConfigurationType;
var configurationType = Type.GetType(configurationTypeFullyQualifiedName, true);
var configuration = (IPredictionServiceConfiguration)Activator.CreateInstance(configurationType);
predictionResponseItem.SuccessProbability = 0;
predictionResponseItem.ProbableSuccess = false;
using (var client = new HttpClient())
{
client.BaseAddress = new Uri(apiUrl);
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
HttpResponseMessage httpResponse = await client.PostAsync("", new StringContent(configuration.Serialize(predictionRequestFile)));
if (httpResponse.IsSuccessStatusCode)
{
string result = await httpResponse.Content.ReadAsStringAsync();
JObject jObject = JObject.Parse(result);
var scoredProbabilities = jObject.SelectToken("Results.output1[0]['Scored Probabilities']").ToObject <double>();
var scoredLabels = jObject.SelectToken("Results.output1[0]['Scored Labels']").ToObject <int>();
predictionResponseItem.SuccessProbability = scoredProbabilities;
predictionResponseItem.ProbableSuccess = scoredLabels == 1 ? true : false;
}
}
}
public string Serialize(PredictionRequestFile predictionRequestFile)
{
var scoreRequest = new
{
Inputs = new Dictionary <string, List <Dictionary <string, string> > >
{
{
"input1",
new List <Dictionary <string, string> >
{
new Dictionary <string, string>
{
{ "NumberOfRevisions", predictionRequestFile.NumberOfRevisions.ToString() },
{ "NumberOfDistinctCommitters", predictionRequestFile.NumberOfDistinctCommitters.ToString() },
{ "NumberOfModifiedLines", predictionRequestFile.NumberOfModifiedLines.ToString() },
{ "BuildResult", "0" },
{ "TotalNumberOfRevisions", predictionRequestFile.TotalNumberOfRevisions.ToString() },
{ "BuildCommitDateTimeLocal", "" },
{ "PreviousBuildResult", predictionRequestFile.PreviousBuildResult.ToString() },
{ "CCMMax", predictionRequestFile.CCMMax.ToString() },
{ "CCMMd", predictionRequestFile.CCMMd.GetValueOrDefault().ToString(System.Globalization.CultureInfo.InvariantCulture) },
{ "CCMAvg", predictionRequestFile.CCMAvg.GetValueOrDefault().ToString(System.Globalization.CultureInfo.InvariantCulture) },
}
}
},
},
GlobalParameters = new Dictionary <string, string>
{
{ "Append score columns to output1", "true" },
}
};
return(JsonConvert.SerializeObject(scoreRequest));
}
private static void UpdatePrediction(PredictionRequestFile predictionRequestFile, Metric metric)
{
predictionRequestFile.NumberOfDistinctCommitters = 1;
predictionRequestFile.NumberOfRevisions = 1;
predictionRequestFile.TotalNumberOfRevisions = (metric.TotalNumberOfRevisions ?? 0) + 1;
predictionRequestFile.PreviousBuildResult = metric.PreviousBuildResult;
}
public string Serialize(PredictionRequestFile predictionRequestFile)
{
var scoreRequest = new
{
Inputs = new Dictionary <string, List <Dictionary <string, string> > >
{
{
"input1",
new List <Dictionary <string, string> >
{
new Dictionary <string, string>
{
{ "NumberOfRevisions", predictionRequestFile.NumberOfRevisions.ToString() },
{ "CCMMax", predictionRequestFile.CCMMax.ToString() },
{ "NumberOfDistinctCommitters", predictionRequestFile.NumberOfDistinctCommitters.ToString() },
{ "NumberOfModifiedLines", predictionRequestFile.NumberOfModifiedLines.ToString() },
{ "TotalNumberOfRevisions", predictionRequestFile.TotalNumberOfRevisions.ToString() },
{
// Do as if the change was made now - minutes from mindnight are used in the model
"BuildCommitDateTimeLocal",
(DateTime.Now.Hour * 60 + DateTime.Now.Minute).ToString()
},
}
}
},
},
GlobalParameters = new Dictionary <string, string>
{
{ "Append score columns to output1", "true" },
}
};
return(JsonConvert.SerializeObject(scoreRequest));
}
