public List<AnalyticsWorkflowState> UpdateAnalyticWorkflowState(long matterId, long datasetId, long projectId, string binderId, List<AnalyticsWorkflowState> workflowState)
{
if(workflowState.Count > 1)
{
mockDocuments = null;
mockAnalyticsProjectInfo = null;
mockQcSts = null;
mockTrainingSetAdditionalDocuments = null;
analysisSets = null;
addTrainingDocumentIndex = 0;
trainingSetCount = 0;
mockPredictAllSummaryInfo = null;
resultTrainingSetSummary = new TrainingSetSummary();
resultTrainingSetSummary.CompletedRoundsSummary = new AnalysisSet();
resultTrainingSetSummary.CompletedRoundDetails = new List<AnalysisSet>();
resultTrainingSetSummary.CurrentRoundProgress = new AnalysisSet();
MockWorkflowState.Initialize();
MockWorkflowState.ChangeToState = new AnalyticsWorkflowState();
//Ensure data is initialized as expected for the updated workflow state
var random = new Random();
//ControlSet
AnalyticsWorkflowState state = workflowState.Find(p => p.Name == State.ControlSet);
if (state.ReviewStatus == Status.Inprogress)
{
var controlSetDocs = this.GetDocuments(matterId, datasetId, projectId, "controlset", null);
//ReviewStatus inprogress means some controlset documents should be coded
if (controlSetDocs.Documents.Find(d => d.Fields[ReviewerCategoryIndex].Value == NotCoded) != null)
{
foreach (var doc in controlSetDocs.Documents)
{
doc.Fields[ReviewerCategoryIndex].Value = (random.Next(2) == 0) ? Relevant : NotCoded;
}
}
UpdateControlSetSummary(this.GetAllAnalysisSets(matterId, datasetId, projectId));
}
if (state.ReviewStatus == Status.Completed)
{
var controlSetDocs = this.GetDocuments(matterId, datasetId, projectId, "controlset", null);
//ReviewStatus Completed means all controlset documents should be coded
if (controlSetDocs.Documents.Find(d => d.Fields[ReviewerCategoryIndex].Value == NotCoded) != null)
{
foreach (var doc in controlSetDocs.Documents)
{
doc.Fields[ReviewerCategoryIndex].Value = (random.Next(2) == 0)? NotRelevant : Relevant;
}
}
UpdateControlSetSummary(this.GetAllAnalysisSets(matterId, datasetId, projectId));
}
//TrainingSet
state = workflowState.Find(p => p.Name == State.TrainingSet);
if (state.CreateStatus == Status.Completed)
{
this.CreateTrainingset(matterId.ToString(CultureInfo.InvariantCulture), datasetId.ToString(CultureInfo.InvariantCulture), projectId.ToString(CultureInfo.InvariantCulture));
//MockWorkflowState.ChangeToState = workflowState.Find(p => p.Name == State.ControlSet);
//resultTrainingSetSummary.CompletedRoundsSummary = new AnalysisSet();
//resultTrainingSetSummary.CompletedRoundDetails = new List<AnalysisSet>();
//resultTrainingSetSummary.CompletedRoundsSummary.Type = AnalysisSetType.TrainingSet;
//resultTrainingSetSummary.RoundsCompleted = 0;
//resultTrainingSetSummary.CurrentRound = 1;
}
if (state.ReviewStatus == Status.Inprogress)
{
var trainingSetDocs = this.GetDocuments(matterId, datasetId, projectId, "trainingset", CreateQueryContext(AnalysisSetType.TrainingSet, "Training Set 001"));
trainingSetDocs.Documents[0].Fields[ReviewerCategoryIndex].Value = Relevant;
trainingSetDocs.Documents[1].Fields[ReviewerCategoryIndex].Value = NotRelevant;
trainingSetDocs.Documents[2].Fields[ReviewerCategoryIndex].Value = Skipped;
UpdateTrainingSetSummary(this.GetAllAnalysisSets(matterId, datasetId, projectId), "current");
resultTrainingSetSummary.CompletedRoundsSummary = new AnalysisSet();
resultTrainingSetSummary.RoundsCompleted = 0;
resultTrainingSetSummary.CurrentRound = 1;
}
if (state.ReviewStatus == Status.Completed)
{
var queryContext = CreateQueryContext(AnalysisSetType.TrainingSet, "Training Set 001");
var trainingSetDocs = this.GetDocuments(matterId, datasetId, projectId, "trainingset",queryContext);
foreach (var doc in trainingSetDocs.Documents)
{
doc.Fields[ReviewerCategoryIndex].Value = (random.Next(2) == 0) ? NotRelevant : Relevant;
}
this.CreateTrainingset(matterId.ToString(CultureInfo.InvariantCulture), datasetId.ToString(CultureInfo.InvariantCulture), projectId.ToString(CultureInfo.InvariantCulture));
queryContext.AnalysisSet.Name = "Training Set 002";
trainingSetDocs = this.GetDocuments(matterId, datasetId, projectId, "trainingset", queryContext);
foreach (var doc in trainingSetDocs.Documents)
{
doc.Fields[ReviewerCategoryIndex].Value = (random.Next(2) == 0) ? NotRelevant : Relevant;
}
this.CreateTrainingset(matterId.ToString(CultureInfo.InvariantCulture), datasetId.ToString(CultureInfo.InvariantCulture), projectId.ToString(CultureInfo.InvariantCulture));
}
//QcSet
state = workflowState.Find(p => p.Name == State.QcSet);
if (state.CreateStatus == Status.Completed)
{
this.CreateQcSet(matterId, datasetId, projectId, new QcSet());
}
if (state.ReviewStatus == Status.Inprogress)
{
var queryContext = CreateQueryContext(AnalysisSetType.QcSet, "QCSet01");
var qcSetDocs = this.GetDocuments(matterId, datasetId, projectId, "qcset", queryContext);
foreach (var doc in qcSetDocs.Documents)
{
doc.Fields[ReviewerCategoryIndex].Value = (random.Next(2) == 0) ? Relevant : NotCoded;
}
}
if (state.ReviewStatus == Status.Completed)
{
var queryContext = CreateQueryContext(AnalysisSetType.QcSet, "QCSet01");
var qcSetDocs = this.GetDocuments(matterId, datasetId, projectId, "qcset", queryContext);
foreach (var doc in qcSetDocs.Documents)
{
doc.Fields[ReviewerCategoryIndex].Value = (random.Next(2) == 0) ? NotRelevant : Relevant;
}
}
//PredictSet
state = workflowState.Find(p => p.Name == State.PredictSet);
if (state.ReviewStatus == Status.Completed)
{
if (mockDocuments != null)
{
foreach (var doc in mockDocuments.Documents)
{
doc.Fields[PredictedCategoryIndex].Value = doc.Fields[PredictedCategoryIndex].Value == NotCoded ? Relevant : doc.Fields[PredictedCategoryIndex].Value;
}
}
}
}
return MockWorkflowState.UpdateStates(workflowState);
}
/// <summary>
/// Gets predict all summary information
/// </summary>
/// <param name="orgId">The org identifier.</param>
/// <param name="matterId">The matter identifier.</param>
/// <param name="datasetId">The dataset identifier.</param>
/// <param name="projectId">The project identifier.</param>
/// <returns>predict all summary</returns>
public PredictAllSummary GetPredictAllSummary(long orgId, long matterId, long datasetId, long projectId)
{
if (mockPredictAllSummaryInfo == null)
{
var resourceName = string.Format(CultureInfo.InvariantCulture, "{0}.matter_{1}-dataset_{2}-project_{3}-predictAllSummaryInfo.json",
MockDataNameSpace, matterId, datasetId, projectId);
var mockData = GetEmbeddedResource(resourceName);
mockPredictAllSummaryInfo = JsonConvert.DeserializeObject<PredictAllSummary>(mockData);
}
return mockPredictAllSummaryInfo;
}
