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);
}
