public ValidCdxProcessingFixture(OsdrTestHarness harness)
{
BlobId = harness.JohnBlobStorageClient.AddResource(harness.JohnId.ToString(), "125_11Mos.cdx", new Dictionary <string, object>()
{
{ "parentId", harness.JohnId }
}).Result;
FileId = harness.WaitWhileRecordsFileProcessed(BlobId);
}
public InvalidCifProcessingFixture(OsdrTestHarness harness)
{
BlobId = harness.JohnBlobStorageClient.AddResource(harness.JohnId.ToString(), "1100110_modified.cif", new Dictionary <string, object>()
{
{ "parentId", harness.JohnId }
}).Result;
FileId = harness.WaitWhileRecordsFileProcessed(BlobId);
}
public InvalidSdfProcessingFixture(OsdrTestHarness harness)
{
BlobId = harness.JohnBlobStorageClient.AddResource(harness.JohnId.ToString(), "invalid_sdf_with_20_records_where_first_and_second_are_invalid.sdf", new Dictionary <string, object>()
{
{ "parentId", harness.JohnId }
}).Result;
FileId = harness.WaitWhileRecordsFileProcessed(BlobId);
}
public ReadEventsBackwardAsyncFixture(OsdrTestHarness harness)
{
BlobId = harness.JohnBlobStorageClient.AddResource(harness.JohnId.ToString(), "Aspirin.mol", new Dictionary <string, object>()
{
{ "parentId", harness.JohnId }
}).Result;
FileId = harness.WaitWhileRecordsFileProcessed(BlobId);
}
public SdfProcessingWithOneValidAndOneInvalidRecordsFixture(OsdrTestHarness harness)
{
BlobId = harness.JohnBlobStorageClient.AddResource(harness.JohnId.ToString(), "test_solubility.sdf", new Dictionary <string, object>()
{
{ "parentId", harness.JohnId }
}).Result;
FileId = harness.WaitWhileRecordsFileProcessed(BlobId);
}
public static async Task <Guid> TrainModel(this OsdrTestHarness harness, string bucket, string fileName, IDictionary <string, object> metadata = null)
{
var blobId = await harness.JohnBlobStorageClient.AddResource(bucket, fileName, metadata);
//var blobId = await harness.AddBlob(harness.JohnId.ToString(), fileName, metadata);
harness.WaitWhileRecordsFileProcessed(blobId);
var modelFolderId = NewId.NextGuid();
if (metadata["case"].Equals("valid one model with success optimization") || metadata["case"].Equals("train model with failed optimization"))
{
await harness.BusControl.Publish <StartTraining>(new
{
Id = modelFolderId,
ParentId = modelFolderId,
SourceBlobId = blobId,
SourceBucket = bucket,
CorrelationId = NewId.NextGuid(),
UserId = harness.JohnId,
SourceFileName = fileName,
Methods = new List <string>(new[]
{
"NaiveBayes"
}),
ClassName = "ClassName",
Optimize = true
});
}
else if (metadata["case"].Equals("two valid models"))
{
await harness.BusControl.Publish <StartTraining>(new
{
Id = modelFolderId,
ParentId = modelFolderId,
SourceBlobId = blobId,
SourceBucket = bucket,
CorrelationId = NewId.NextGuid(),
UserId = harness.JohnId,
SourceFileName = fileName,
Scaler = "Somebody knows what is Scaler???",
Methods = new List <string>(new[]
{
"NaiveBayes",
"LogisticRegression"
}),
ClassName = "ClassName",
SubSampleSize = (decimal)0.2,
TestDataSize = (decimal)0.2,
KFold = 4,
Fingerprints = new List <IDictionary <string, object> >()
{
new Dictionary <string, object>()
{
{ "radius", 3 },
{ "size", 1024 },
{ "type", FingerprintType.ecfp }
}
},
Optimize = false
});
}
else
{
await harness.BusControl.Publish <StartTraining>(new
{
Id = modelFolderId,
ParentId = modelFolderId,
SourceBlobId = blobId,
SourceBucket = bucket,
CorrelationId = NewId.NextGuid(),
UserId = harness.JohnId,
SourceFileName = fileName,
Scaler = "Somebody knows what is Scaler???",
Methods = new List <string>(new[]
{
"NaiveBayes"
}),
ClassName = "ClassName",
SubSampleSize = (decimal)0.2,
TestDataSize = (decimal)0.2,
KFold = 4,
Fingerprints = new List <IDictionary <string, object> >()
{
new Dictionary <string, object>()
{
{ "radius", 3 },
{ "size", 1024 },
{ "type", FingerprintType.ecfp }
}
},
Optimize = false
});
}
if (!harness.Received.Select <MachineLearning.Domain.Events.TrainingFinished>(m => m.Context.Message.Id == modelFolderId).Any())
{
throw new TimeoutException();
}
return(modelFolderId);
}