/// <summary>
/// Gather data for request. Prepare class structure for serialization.
/// Names of inputs are NOT random but required like this.
/// </summary>
/// <param name="inputdata">points to input dataset, like csv file</param>
/// <param name="outputData">points to output blob .ilearner file used later to update predictive web service</param>
private BatchExecutionRequest PrepareRequest(AzureStorageData inputdata, AzureStorageData outputData)
{
return(new BatchExecutionRequest
{
Inputs = new Dictionary <string, AzureBlobDataReference>
{
{
"input2",
new AzureBlobDataReference
{
ConnectionString = inputdata.DataConnectionString,
RelativeLocation = $"{inputdata.ContainerName}/{inputdata.BlobName}"
}
},
},
Outputs = new Dictionary <string, AzureBlobDataReference>
{
{
"output2",
new AzureBlobDataReference
{
ConnectionString = outputData.DataConnectionString,
RelativeLocation = $"{outputData.ContainerName}/{outputData.BlobName}"
}
}
},
GlobalParameters = new Dictionary <string, string>()
});
}
/// <summary>
/// Retrain method.
/// Prepares request based in input and output
/// With usage of HttpClient POSTs this request to WebService
/// Starts retrain job, monitors status
/// Returns Tuple with message string as Item1 and collection of BlobData for each .ilearner file created.
/// When error appears, message contains error details and collection is null.
/// </summary>
/// <param name="inputStorageData"></param>
/// <param name="outputStorageData"></param>
/// <returns></returns>
public async Task <Tuple <string, IEnumerable <AzureBlobDataReference> > > Retrain(AzureStorageData inputStorageData, AzureStorageData outputStorageData)
{
var request = PrepareRequest(inputStorageData, outputStorageData);
using (var client = new HttpClient())
{
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", ApiKey);
// submit
var response = await client.PostAsJsonAsync(ServiceJobsUrl + "?api-version=2.0", request);
if (!response.IsSuccessStatusCode)
{
return(new Tuple <string, IEnumerable <AzureBlobDataReference> >(await Utilities.GetFailedResponse(response), null));
}
var jobId = await response.Content.ReadAsAsync <string>();
var jobLocation = ServiceJobsUrl + "/" + jobId + "?api-version=2.0";
// if submitted correctly, start retraining job
response = await client.PostAsync(ServiceJobsUrl + "/" + jobId + "/start?api-version=2.0", null);
if (!response.IsSuccessStatusCode)
{
return(new Tuple <string, IEnumerable <AzureBlobDataReference> >(await Utilities.GetFailedResponse(response), null));
}
return(await MonitorProgress(client, jobId, jobLocation));
}
}