internal async Task <IEnumerable <Recommendation <Document> > > GetNearestDocumentsRecommendations(ConversationContext conversationContext, IEnumerable <Document> documents)
{
var allRelevantParsedQuery = conversationContext.ContextItems.Where(x => x.Relevant).Select(c => c.NlpAnalysis.ParsedQuery);
var contextEntities = new HashSet <string>(string.Join(" ", allRelevantParsedQuery).Split(" "));
if (!contextEntities.Any() || !documents.Any())
{
return(new List <Recommendation <Document> >());
}
var parameters = new NearestDocumentsParameters
{
ParsedQuery = string.Join(" ", contextEntities),
DocumentsUri = documents.Select(d => d.Uri)
};
var results = await this._nearestDocuments.GetNearestDocumentsResults(parameters);
if (conversationContext.MustHaveFacets.Any())
{
var filteredDocumentsUri = this.FilterDocumentsByFacet(results.Select(x => x.Document), conversationContext.MustHaveFacets);
results = results.Where(x => filteredDocumentsUri.Contains(x.Document.Uri)).ToList();
}
return(results.Select(x => new Recommendation <Document>
{
Value = documents.First(d => d.Uri.Equals(x.Document.Uri, StringComparison.InvariantCultureIgnoreCase)),
Confidence = x.Score,
RecommendedBy = new List <RecommenderType>
{
RecommenderType.NearestDocuments
}
}).OrderByDescending(recommendation => recommendation.Confidence));
}
private static StringContent CreateStringContent(NearestDocumentsParameters parameters)
{
var json = JsonConvert.SerializeObject(parameters);
return(new StringContent(json, Encoding.UTF8, "application/json"));
}
public async Task <List <NearestDocumentsResult> > GetNearestDocumentsResults(NearestDocumentsParameters parameters)
{
var response = await this._httpClient.PostAsync("ML/NearestDocuments", CreateStringContent(parameters));
response.EnsureSuccessStatusCode();
return(JsonConvert.DeserializeObject <List <NearestDocumentsResult> >(response.Content.ReadAsStringAsync().Result));
}
