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Posted to issues@lucene.apache.org by GitBox <gi...@apache.org> on 2020/11/04 18:36:38 UTC

[GitHub] [lucene-solr] alessandrobenedetti commented on a change in pull request #1571: SOLR-14560: Interleaving for Learning To Rank

alessandrobenedetti commented on a change in pull request #1571:
URL: https://github.com/apache/lucene-solr/pull/1571#discussion_r517551810



##########
File path: solr/contrib/ltr/src/java/org/apache/solr/ltr/search/LTRQParserPlugin.java
##########
@@ -146,93 +149,114 @@ public LTRQParser(String qstr, SolrParams localParams, SolrParams params,
     @Override
     public Query parse() throws SyntaxError {
       // ReRanking Model
-      final String modelName = localParams.get(LTRQParserPlugin.MODEL);
-      if ((modelName == null) || modelName.isEmpty()) {
+      final String[] modelNames = localParams.getParams(LTRQParserPlugin.MODEL);
+      if ((modelNames == null) || modelNames.length==0 || modelNames[0].isEmpty()) {
         throw new SolrException(SolrException.ErrorCode.BAD_REQUEST,
             "Must provide model in the request");
       }
-
-      final LTRScoringModel ltrScoringModel = mr.getModel(modelName);
-      if (ltrScoringModel == null) {
-        throw new SolrException(SolrException.ErrorCode.BAD_REQUEST,
-            "cannot find " + LTRQParserPlugin.MODEL + " " + modelName);
-      }
-
-      final String modelFeatureStoreName = ltrScoringModel.getFeatureStoreName();
-      final boolean extractFeatures = SolrQueryRequestContextUtils.isExtractingFeatures(req);
-      final String fvStoreName = SolrQueryRequestContextUtils.getFvStoreName(req);
-      // Check if features are requested and if the model feature store and feature-transform feature store are the same
-      final boolean featuresRequestedFromSameStore = (modelFeatureStoreName.equals(fvStoreName) || fvStoreName == null) ? extractFeatures:false;
-      if (threadManager != null) {
-        threadManager.setExecutor(req.getCore().getCoreContainer().getUpdateShardHandler().getUpdateExecutor());
-      }
-      final LTRScoringQuery scoringQuery = new LTRScoringQuery(ltrScoringModel,
-          extractEFIParams(localParams),
-          featuresRequestedFromSameStore, threadManager);
-
-      // Enable the feature vector caching if we are extracting features, and the features
-      // we requested are the same ones we are reranking with
-      if (featuresRequestedFromSameStore) {
-        scoringQuery.setFeatureLogger( SolrQueryRequestContextUtils.getFeatureLogger(req) );
+     
+      LTRScoringQuery[] rerankingQueries = new LTRScoringQuery[modelNames.length];
+      for (int i = 0; i < modelNames.length; i++) {
+        final LTRScoringQuery rerankingQuery;
+        if (!ORIGINAL_RANKING.equals(modelNames[i])) {

Review comment:
       Thanks @cpoerschke ! Tomorrow I'll address all your comments and think about them!
   My intent is to merge within few days, so hopefully we can close this soon!
   Thank you again for your time and cntribution, much appreciated!




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