private async Task <NLPAnalyseDataBlock> AnalyseForMetrics(NLPAnalyseDataBlock dataBlock)
{
var response = await dataBlock.AIClient.AnalyseForMetrics(dataBlock.Input);
dataBlock.NLPAnalysisResponse = response;
return(dataBlock);
}
private async Task <NLPAnalyseDataBlock> GetContent(NLPAnalyseDataBlock dataBlock)
{
if (dataBlock.DoContentCheck)
{
var intentId = dataBlock.NLPAnalysisResponse.Intentions?[0].Id;
var intentName = dataBlock.AllIntents.FirstOrDefault(i => i.Id == intentId)?.Name;
var entites = dataBlock.NLPAnalysisResponse.Entities?.Select(e => e.Value).ToList();
dataBlock.ContentFromProvider = await dataBlock.ContentProvider.GetAsync(intentName, entites);
}
return(dataBlock);
}
private NLPAnalyseDataBlock CheckResponse(NLPAnalyseDataBlock dataBlock)
{
var item = dataBlock.NLPAnalysisResponse;
if (item == null)
{
_logger.LogError($"Error when analysing: \"{dataBlock.Input}\"");
return(dataBlock);
}
return(dataBlock);
}
private async Task <List <NLPAnalyseDataBlock> > GetInputList(bool isPhrase, string inputSource, IBlipAIClient client, string reportOutput, List <Intention> intentions, IContentProvider provider, bool doContentCheck)
{
if (isPhrase)
{
return(new List <NLPAnalyseDataBlock> {
NLPAnalyseDataBlock.GetInstance(1, inputSource, client, reportOutput, doContentCheck, intentions, provider)
});
}
else
{
var inputListAsString = await _fileService.GetInputsToAnalyseAsync(inputSource);
return(inputListAsString
.Select((s, i) => NLPAnalyseDataBlock.GetInstance(i + 1, s, client, reportOutput, doContentCheck, intentions, provider))
.ToList());
}
}
private async Task BuildResult(NLPAnalyseDataBlock dataBlock)
{
lock (_locker)
{
_count++;
if (_count % 100 == 0)
{
_logger.LogDebug($"{_count}/{_total}");
}
}
var input = dataBlock.Input;
var analysis = dataBlock.NLPAnalysisResponse;
var content = dataBlock.ContentFromProvider;
if (analysis == null)
{
return;
}
var resultData = new NLPAnalyseReportDataLine
{
Id = dataBlock.Id,
Input = input,
Intent = analysis.Intentions?[0].Id,
Confidence = analysis.Intentions?[0].Score,
Entities = analysis.Entities?.ToList().ToReportString(),
};
if (content != null)
{
resultData.Answer = ExtractAnswer(content);
}
var report = new NLPAnalyseReport
{
ReportDataLines = new List <NLPAnalyseReportDataLine> {
resultData
},
FullReportFileName = dataBlock.ReportOutputFile
};
await _fileService.WriteAnalyseReportAsync(report, true);
_logger.LogTrace($"\"{resultData.Input}\"\t{resultData.Intent}:{resultData.Confidence:P}\t{resultData.Entities}\t{CropText(resultData.Answer, 50)}");
}
