/// <summary>
/// This is the method that actually does the work.
/// </summary>
/// <param name="DA">The DA object can be used to retrieve data from input parameters and
/// to store data in output parameters.</param>
protected override void SolveInstance(IGH_DataAccess DA)
{
string term1 = null;
string term2 = null;
if (!DA.GetData(0, ref term1) || !DA.GetData(1, ref term2))
{
return;
}
// If the retrieved data is Nothing, we need to abort.
// We're also going to abort on a zero-length String.
if ((term1 == null) || (term2 == null))
{
return;
}
if ((term1.Length == 0) || (term2.Length == 0))
{
return;
}
// relations as string
var conceptRelations = wrapper.GetConceptRelationsAsString(term1);
// Return terms related to the term
var relatedTerms = wrapper.GetRelatedTerms("Tea Kettle");
// Return the relations between these two terms
// var result3 = wrapper.GetConceptNetResults("dog", "bark");
// Return the relations between these two terms as comma separated string
var termsRelations = wrapper.GetConceptRelationsAsString(term1, term2);
// Return the relations between these two terms in data table format
// var result5 = wrapper.GetConceptRelationsAsDataTable("dog", "bark");
// If you just want to see how related term1 (e.g., "tea kettle") is to term2 (e.g., "coffee pot") **
var howTermsRelated = wrapper.GetHowTermsRelated(term1, term2);
// Return the relation score
var relationScore = wrapper.GetRelationScore(term1, term2);
// Get results based on query (comma seperated string )
// var result9 = wrapper.GetConceptNetQueryResults("node=/c/en/dog,other=/c/en/bark");
DA.SetData(0, conceptRelations);
DA.SetData(1, relatedTerms);
DA.SetData(2, termsRelations);
DA.SetData(3, howTermsRelated);
DA.SetData(4, relationScore);
}
public ScoredSearchResult Search(string searchTerm)
{
double bestScore = double.MinValue;
string bestAssetTerm = "";
TailoredResponse bestResponse = null;
foreach (var potentialResponse in _availableResponses)
{
foreach (string assetTerm in potentialResponse.matchingTerms)
{
double score = _conceptNet.GetRelationScore(searchTerm, assetTerm);
if (score > bestScore)
{
bestAssetTerm = assetTerm;
bestResponse = potentialResponse;
bestScore = score;
}
}
}
if (bestResponse == null)
{
return(new ScoredSearchResult());
}
else if (bestScore == 1)
{
bestScore = 1.75;
}
else if (bestScore > .65f)
{
bestScore = 1;
}
Debug.Log("Best tailored response for " + searchTerm + ": " + bestAssetTerm + " (" + bestScore + ")");
if (bestScore < 0.15)
{
bestScore = 0;
}
else if (bestScore < 0.5)
{
bestScore = 0.1;
}
return(new ScoredSearchResult(bestResponse.equivalentModels[0], bestScore, bestAssetTerm));
}
public async Task <ScoredSearchResult> SearchPoly(string term)
{
Debug.Log("Searching Poly for term: " + term);
var request = new PolyListAssetsRequest();
request.orderBy = PolyOrderBy.BEST;
request.keywords = term;
request.curated = true;
PolyListAssetsResult result = null;
bool error = false;
PolyApi.ListAssets(request, response =>
{
if (response.Ok)
{
result = response.Value;
}
else
{
error = true;
}
});
while (result == null && !error) //TODO: Add Timeout to avoid infinite loop!
{
await Task.Delay(50);
}
await new WaitForBackgroundThread();
PolyAsset bestAsset = null;
double bestScore = double.MinValue;
if (result != null)
{
foreach (var asset in result.assets)
{
//get how related it is to the search term
//if doesn't exist in concept net, only accept exact matches (or lev dists <2)
//made by poly is * 1.5 multiplier (can tweak)
double score = -1;
if (asset.displayName.ToLower().Equals(term))
{
score = 1;
}
else
{
score = _conceptNet.GetRelationScore(asset.displayName.ToLower(), term);
}
Debug.Log(asset.displayName + " by: " + asset.authorName + " (" + score + ") ");;
if (asset.authorName.Contains("Google"))
{
score = score * 1.75;
}
if (score > bestScore)
{
bestScore = score;
bestAsset = asset;
}
}
}
if (bestAsset != null)
{
Debug.Log(
String.Format("Term: {0}, Asset: {1}, Score: {2}", term, bestAsset.displayName + " by: " + bestAsset.authorName, bestScore));
}
else
{
Debug.Log("No results for term: " + term);
}
var bestResult = new ScoredSearchResult();
bestResult.score = bestScore;
bestResult.polyAsset = bestAsset;
await new WaitForUpdate();
return(bestResult);
}
