public static object GetCustomJson(ISuggestRequest suggestRequest) { if (suggestRequest == null || (suggestRequest.GlobalText.IsNullOrEmpty() && suggestRequest.Suggest == null)) { return(null); } var dict = new Dictionary <string, object>(); if (!suggestRequest.GlobalText.IsNullOrEmpty()) { dict.Add("text", suggestRequest.GlobalText); } if (suggestRequest.Suggest != null) { foreach (var kv in suggestRequest.Suggest) { var item = kv.Value; var bucket = new SuggestBucket() { Text = item.Text }; var completion = item as ICompletionSuggester; if (completion != null) { bucket.Completion = completion; } var phrase = item as IPhraseSuggester; if (phrase != null) { bucket.Phrase = phrase; } var term = item as ITermSuggester; if (term != null) { bucket.Term = term; } dict.Add(kv.Key, bucket); } } return(dict); }
///// <summary> ///// To avoid repetition of the suggest text, it is possible to define a global text. ///// </summary> //public SearchDescriptor<T> SuggestGlobalText(string globalSuggestText) //{ // if (Self.Suggest == null) // Self.Suggest = new Dictionary<string, ISuggester>(); // Self.Suggest.Add("text", globalSuggestText); // return this; //} /// <summary> /// The term suggester suggests terms based on edit distance. The provided suggest text is analyzed before terms are suggested. /// The suggested terms are provided per analyzed suggest text token. The term suggester doesn’t take the query into account that is part of request. /// </summary> public SearchDescriptor <T> SuggestTerm(string name, Func <TermSuggestDescriptor <T>, TermSuggestDescriptor <T> > suggest) { name.ThrowIfNullOrEmpty("name"); suggest.ThrowIfNull("suggest"); if (Self.Suggest == null) { Self.Suggest = new Dictionary <string, ISuggestBucket>(); } var desc = new TermSuggestDescriptor <T>(); var item = suggest(desc); ITermSuggester i = item; var bucket = new SuggestBucket { Text = i.Text, Term = item }; Self.Suggest.Add(name, bucket); return(this); }