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); }