Rename some classes

Signed-off-by: Martin Gaievski <[email protected]>
opensearch-project · Nov 4, 2024 · 0f3813f · 0f3813f
1 parent a19de09
commit 0f3813f
Show file tree

Hide file tree

Showing 15 changed files with 79 additions and 77 deletions.
diff --git a/src/main/java/org/opensearch/neuralsearch/processor/ExplanationResponseProcessor.java b/src/main/java/org/opensearch/neuralsearch/processor/ExplanationResponseProcessor.java
@@ -10,7 +10,7 @@
 import org.opensearch.action.search.SearchRequest;
 import org.opensearch.action.search.SearchResponse;
 import org.opensearch.neuralsearch.processor.explain.CombinedExplainDetails;
-import org.opensearch.neuralsearch.processor.explain.ExplanationResponse;
+import org.opensearch.neuralsearch.processor.explain.ExplanationPayload;
 import org.opensearch.search.SearchHit;
 import org.opensearch.search.SearchHits;
 import org.opensearch.search.SearchShardTarget;
@@ -24,7 +24,7 @@
 import java.util.Objects;
 
 import static org.opensearch.neuralsearch.plugin.NeuralSearch.EXPLAIN_RESPONSE_KEY;
-import static org.opensearch.neuralsearch.processor.explain.ExplanationResponse.ExplanationType.NORMALIZATION_PROCESSOR;
+import static org.opensearch.neuralsearch.processor.explain.ExplanationPayload.PayloadType.NORMALIZATION_PROCESSOR;
 
 /**
  * Processor to add explanation details to search response
@@ -40,19 +40,21 @@ public class ExplanationResponseProcessor implements SearchResponseProcessor {
     private final boolean ignoreFailure;
 
     @Override
-    public SearchResponse processResponse(SearchRequest request, SearchResponse response) throws Exception {
+    public SearchResponse processResponse(SearchRequest request, SearchResponse response) {
         return processResponse(request, response, null);
     }
 
     @Override
     public SearchResponse processResponse(SearchRequest request, SearchResponse response, PipelineProcessingContext requestContext) {
-        if (Objects.isNull(requestContext) || (Objects.isNull(requestContext.getAttribute(EXPLAIN_RESPONSE_KEY)))) {
+        if (Objects.isNull(requestContext)
+                || (Objects.isNull(requestContext.getAttribute(EXPLAIN_RESPONSE_KEY)))
+                || requestContext.getAttribute(EXPLAIN_RESPONSE_KEY) instanceof ExplanationPayload == false) {
             return response;
         }
-        ExplanationResponse explanationResponse = (ExplanationResponse) requestContext.getAttribute(EXPLAIN_RESPONSE_KEY);
-        Map<ExplanationResponse.ExplanationType, Object> explainPayload = explanationResponse.getExplainPayload();
+        ExplanationPayload explanationPayload = (ExplanationPayload) requestContext.getAttribute(EXPLAIN_RESPONSE_KEY);
+        Map<ExplanationPayload.PayloadType, Object> explainPayload = explanationPayload.getExplainPayload();
         if (explainPayload.containsKey(NORMALIZATION_PROCESSOR)) {
-            Explanation processorExplanation = explanationResponse.getExplanation();
+            Explanation processorExplanation = explanationPayload.getExplanation();
             if (Objects.isNull(processorExplanation)) {
                 return response;
             }

diff --git a/src/main/java/org/opensearch/neuralsearch/processor/NormalizationProcessorWorkflow.java b/src/main/java/org/opensearch/neuralsearch/processor/NormalizationProcessorWorkflow.java
@@ -26,9 +26,9 @@
 import org.opensearch.neuralsearch.processor.combination.ScoreCombiner;
 import org.opensearch.neuralsearch.processor.explain.CombinedExplainDetails;
 import org.opensearch.neuralsearch.processor.explain.DocIdAtSearchShard;
-import org.opensearch.neuralsearch.processor.explain.ExplainDetails;
+import org.opensearch.neuralsearch.processor.explain.ExplainationDetails;
 import org.opensearch.neuralsearch.processor.explain.ExplainableTechnique;
-import org.opensearch.neuralsearch.processor.explain.ExplanationResponse;
+import org.opensearch.neuralsearch.processor.explain.ExplanationPayload;
 import org.opensearch.neuralsearch.processor.normalization.ScoreNormalizationTechnique;
 import org.opensearch.neuralsearch.processor.normalization.ScoreNormalizer;
 import org.opensearch.search.SearchHit;
@@ -42,7 +42,7 @@
 
 import static org.opensearch.neuralsearch.plugin.NeuralSearch.EXPLAIN_RESPONSE_KEY;
 import static org.opensearch.neuralsearch.processor.combination.ScoreCombiner.MAX_SCORE_WHEN_NO_HITS_FOUND;
-import static org.opensearch.neuralsearch.processor.explain.ExplainUtils.topLevelExpalantionForCombinedScore;
+import static org.opensearch.neuralsearch.processor.explain.ExplainationUtils.topLevelExpalantionForCombinedScore;
 import static org.opensearch.neuralsearch.search.util.HybridSearchSortUtil.evaluateSortCriteria;
 
 /**
@@ -123,36 +123,36 @@ private void explain(NormalizationProcessorWorkflowExecuteRequest request, List<
 
             Sort sortForQuery = evaluateSortCriteria(request.getQuerySearchResults(), queryTopDocs);
 
-            Map<DocIdAtSearchShard, ExplainDetails> normalizationExplain = scoreNormalizer.explain(
+            Map<DocIdAtSearchShard, ExplainationDetails> normalizationExplain = scoreNormalizer.explain(
                 queryTopDocs,
                 (ExplainableTechnique) request.getNormalizationTechnique()
             );
-            Map<SearchShard, List<ExplainDetails>> combinationExplain = scoreCombiner.explain(
+            Map<SearchShard, List<ExplainationDetails>> combinationExplain = scoreCombiner.explain(
                 queryTopDocs,
                 request.getCombinationTechnique(),
                 sortForQuery
             );
             Map<SearchShard, List<CombinedExplainDetails>> combinedExplain = new HashMap<>();
 
             combinationExplain.forEach((searchShard, explainDetails) -> {
-                for (ExplainDetails explainDetail : explainDetails) {
+                for (ExplainationDetails explainDetail : explainDetails) {
                     DocIdAtSearchShard docIdAtSearchShard = new DocIdAtSearchShard(explainDetail.docId(), searchShard);
-                    ExplainDetails normalizedExplainDetails = normalizationExplain.get(docIdAtSearchShard);
+                    ExplainationDetails normalizedExplainationDetails = normalizationExplain.get(docIdAtSearchShard);
                     CombinedExplainDetails combinedExplainDetails = CombinedExplainDetails.builder()
-                        .normalizationExplain(normalizedExplainDetails)
+                        .normalizationExplain(normalizedExplainationDetails)
                         .combinationExplain(explainDetail)
                         .build();
                     combinedExplain.computeIfAbsent(searchShard, k -> new ArrayList<>()).add(combinedExplainDetails);
                 }
             });
 
-            ExplanationResponse explanationResponse = ExplanationResponse.builder()
+            ExplanationPayload explanationPayload = ExplanationPayload.builder()
                 .explanation(topLevelExplanationForTechniques)
-                .explainPayload(Map.of(ExplanationResponse.ExplanationType.NORMALIZATION_PROCESSOR, combinedExplain))
+                .explainPayload(Map.of(ExplanationPayload.PayloadType.NORMALIZATION_PROCESSOR, combinedExplain))
                 .build();
             // store explain object to pipeline context
             PipelineProcessingContext pipelineProcessingContext = request.getPipelineProcessingContext();
-            pipelineProcessingContext.setAttribute(EXPLAIN_RESPONSE_KEY, explanationResponse);
+            pipelineProcessingContext.setAttribute(EXPLAIN_RESPONSE_KEY, explanationPayload);
         }
 
     }

diff --git a/...pensearch/neuralsearch/processor/combination/ArithmeticMeanScoreCombinationTechnique.java b/...pensearch/neuralsearch/processor/combination/ArithmeticMeanScoreCombinationTechnique.java
@@ -12,7 +12,7 @@
 import org.opensearch.neuralsearch.processor.explain.ExplainableTechnique;
 
 import static org.opensearch.neuralsearch.processor.combination.ScoreCombinationUtil.PARAM_NAME_WEIGHTS;
-import static org.opensearch.neuralsearch.processor.explain.ExplainUtils.describeCombinationTechnique;
+import static org.opensearch.neuralsearch.processor.explain.ExplainationUtils.describeCombinationTechnique;
 
 /**
  * Abstracts combination of scores based on arithmetic mean method

diff --git a/...opensearch/neuralsearch/processor/combination/GeometricMeanScoreCombinationTechnique.java b/...opensearch/neuralsearch/processor/combination/GeometricMeanScoreCombinationTechnique.java
@@ -12,7 +12,7 @@
 import org.opensearch.neuralsearch.processor.explain.ExplainableTechnique;
 
 import static org.opensearch.neuralsearch.processor.combination.ScoreCombinationUtil.PARAM_NAME_WEIGHTS;
-import static org.opensearch.neuralsearch.processor.explain.ExplainUtils.describeCombinationTechnique;
+import static org.opensearch.neuralsearch.processor.explain.ExplainationUtils.describeCombinationTechnique;
 
 /**
  * Abstracts combination of scores based on geometrical mean method

diff --git a/.../opensearch/neuralsearch/processor/combination/HarmonicMeanScoreCombinationTechnique.java b/.../opensearch/neuralsearch/processor/combination/HarmonicMeanScoreCombinationTechnique.java
@@ -12,7 +12,7 @@
 import org.opensearch.neuralsearch.processor.explain.ExplainableTechnique;
 
 import static org.opensearch.neuralsearch.processor.combination.ScoreCombinationUtil.PARAM_NAME_WEIGHTS;
-import static org.opensearch.neuralsearch.processor.explain.ExplainUtils.describeCombinationTechnique;
+import static org.opensearch.neuralsearch.processor.explain.ExplainationUtils.describeCombinationTechnique;
 
 /**
  * Abstracts combination of scores based on harmonic mean method

diff --git a/src/main/java/org/opensearch/neuralsearch/processor/combination/ScoreCombiner.java b/src/main/java/org/opensearch/neuralsearch/processor/combination/ScoreCombiner.java
@@ -27,9 +27,9 @@
 
 import lombok.extern.log4j.Log4j2;
 import org.opensearch.neuralsearch.processor.SearchShard;
-import org.opensearch.neuralsearch.processor.explain.ExplainDetails;
+import org.opensearch.neuralsearch.processor.explain.ExplainationDetails;
 
-import static org.opensearch.neuralsearch.processor.explain.ExplainUtils.getScoreCombinationExplainDetailsForDocument;
+import static org.opensearch.neuralsearch.processor.explain.ExplainationUtils.getScoreCombinationExplainDetailsForDocument;
 
 /**
  * Abstracts combination of scores in query search results.
@@ -318,15 +318,15 @@ private TotalHits getTotalHits(final List<TopDocs> topDocsPerSubQuery, final lon
         return new TotalHits(maxHits, totalHits);
     }
 
-    public Map<SearchShard, List<ExplainDetails>> explain(
+    public Map<SearchShard, List<ExplainationDetails>> explain(
         final List<CompoundTopDocs> queryTopDocs,
         final ScoreCombinationTechnique combinationTechnique,
         final Sort sort
     ) {
         // In case of duplicate keys, keep the first value
-        HashMap<SearchShard, List<ExplainDetails>> explanations = new HashMap<>();
+        HashMap<SearchShard, List<ExplainationDetails>> explanations = new HashMap<>();
         for (CompoundTopDocs compoundQueryTopDocs : queryTopDocs) {
-            for (Map.Entry<SearchShard, List<ExplainDetails>> docIdAtSearchShardExplainDetailsEntry : explainByShard(
+            for (Map.Entry<SearchShard, List<ExplainationDetails>> docIdAtSearchShardExplainDetailsEntry : explainByShard(
                 combinationTechnique,
                 compoundQueryTopDocs,
                 sort
@@ -337,7 +337,7 @@ public Map<SearchShard, List<ExplainDetails>> explain(
         return explanations;
     }
 
-    private Map<SearchShard, List<ExplainDetails>> explainByShard(
+    private Map<SearchShard, List<ExplainationDetails>> explainByShard(
         final ScoreCombinationTechnique scoreCombinationTechnique,
         final CompoundTopDocs compoundQueryTopDocs,
         Sort sort
@@ -351,7 +351,7 @@ private Map<SearchShard, List<ExplainDetails>> explainByShard(
             .stream()
             .collect(Collectors.toMap(Map.Entry::getKey, entry -> scoreCombinationTechnique.combine(entry.getValue())));
         Collection<Integer> sortedDocsIds = getSortedDocsIds(compoundQueryTopDocs, sort, combinedNormalizedScoresByDocId);
-        List<ExplainDetails> listOfExplainsForShard = sortedDocsIds.stream()
+        List<ExplainationDetails> listOfExplainsForShard = sortedDocsIds.stream()
             .map(
                 docId -> getScoreCombinationExplainDetailsForDocument(
                     docId,

diff --git a/src/main/java/org/opensearch/neuralsearch/processor/explain/CombinedExplainDetails.java b/src/main/java/org/opensearch/neuralsearch/processor/explain/CombinedExplainDetails.java
@@ -15,6 +15,6 @@
 @Builder
 @Getter
 public class CombinedExplainDetails {
-    private ExplainDetails normalizationExplain;
-    private ExplainDetails combinationExplain;
+    private ExplainationDetails normalizationExplain;
+    private ExplainationDetails combinationExplain;
 }
diff --git a/src/main/java/org/opensearch/neuralsearch/processor/explain/ExplainableTechnique.java b/src/main/java/org/opensearch/neuralsearch/processor/explain/ExplainableTechnique.java
@@ -28,7 +28,7 @@ default String describe() {
      * @param queryTopDocs collection of CompoundTopDocs for each shard result
      * @return map of document per shard and corresponding explanation object
      */
-    default Map<DocIdAtSearchShard, ExplainDetails> explain(final List<CompoundTopDocs> queryTopDocs) {
+    default Map<DocIdAtSearchShard, ExplainationDetails> explain(final List<CompoundTopDocs> queryTopDocs) {
         return Map.of();
     }
 }
diff --git a/...rch/processor/explain/ExplainDetails.java → ...rocessor/explain/ExplainationDetails.java b/...rch/processor/explain/ExplainDetails.java → ...rocessor/explain/ExplainationDetails.java
@@ -10,8 +10,8 @@
  * @param value
  * @param description
  */
-public record ExplainDetails(int docId, float value, String description) {
-    public ExplainDetails(float value, String description) {
+public record ExplainationDetails(int docId, float value, String description) {
+    public ExplainationDetails(float value, String description) {
         this(-1, value, description);
     }
 }
diff --git a/...earch/processor/explain/ExplainUtils.java → .../processor/explain/ExplainationUtils.java b/...earch/processor/explain/ExplainUtils.java → .../processor/explain/ExplainationUtils.java
@@ -17,24 +17,24 @@
 /**
  * Utility class for explain functionality
  */
-public class ExplainUtils {
+public class ExplainationUtils {
 
     /**
      * Creates map of DocIdAtQueryPhase to String containing source and normalized scores
      * @param normalizedScores map of DocIdAtQueryPhase to normalized scores
      * @param sourceScores map of DocIdAtQueryPhase to source scores
      * @return map of DocIdAtQueryPhase to String containing source and normalized scores
      */
-    public static Map<DocIdAtSearchShard, ExplainDetails> getDocIdAtQueryForNormalization(
+    public static Map<DocIdAtSearchShard, ExplainationDetails> getDocIdAtQueryForNormalization(
         final Map<DocIdAtSearchShard, List<Float>> normalizedScores,
         final Map<DocIdAtSearchShard, List<Float>> sourceScores
     ) {
-        Map<DocIdAtSearchShard, ExplainDetails> explain = sourceScores.entrySet()
+        Map<DocIdAtSearchShard, ExplainationDetails> explain = sourceScores.entrySet()
             .stream()
             .collect(Collectors.toMap(Map.Entry::getKey, entry -> {
                 List<Float> srcScores = entry.getValue();
                 List<Float> normScores = normalizedScores.get(entry.getKey());
-                return new ExplainDetails(
+                return new ExplainationDetails(
                     normScores.stream().reduce(0.0f, Float::max),
                     String.format(Locale.ROOT, "source scores: %s normalized to scores: %s", srcScores, normScores)
                 );
@@ -49,13 +49,13 @@ public static Map<DocIdAtSearchShard, ExplainDetails> getDocIdAtQueryForNormaliz
      * @param normalizedScoresPerDoc
      * @return
      */
-    public static ExplainDetails getScoreCombinationExplainDetailsForDocument(
+    public static ExplainationDetails getScoreCombinationExplainDetailsForDocument(
         final Integer docId,
         final Map<Integer, Float> combinedNormalizedScoresByDocId,
         final float[] normalizedScoresPerDoc
     ) {
         float combinedScore = combinedNormalizedScoresByDocId.get(docId);
-        return new ExplainDetails(
+        return new ExplainationDetails(
             docId,
             combinedScore,
             String.format(

diff --git a/...rocessor/explain/ExplanationResponse.java → ...processor/explain/ExplanationPayload.java b/...rocessor/explain/ExplanationResponse.java → ...processor/explain/ExplanationPayload.java
@@ -17,11 +17,11 @@
 @AllArgsConstructor
 @Builder
 @Getter
-public class ExplanationResponse {
+public class ExplanationPayload {
     Explanation explanation;
-    Map<ExplanationType, Object> explainPayload;
+    Map<PayloadType, Object> explainPayload;
 
-    public enum ExplanationType {
+    public enum PayloadType {
         NORMALIZATION_PROCESSOR
     }
 }
diff --git a/...va/org/opensearch/neuralsearch/processor/normalization/L2ScoreNormalizationTechnique.java b/...va/org/opensearch/neuralsearch/processor/normalization/L2ScoreNormalizationTechnique.java
@@ -17,10 +17,10 @@
 
 import lombok.ToString;
 import org.opensearch.neuralsearch.processor.explain.DocIdAtSearchShard;
-import org.opensearch.neuralsearch.processor.explain.ExplainDetails;
+import org.opensearch.neuralsearch.processor.explain.ExplainationDetails;
 import org.opensearch.neuralsearch.processor.explain.ExplainableTechnique;
 
-import static org.opensearch.neuralsearch.processor.explain.ExplainUtils.getDocIdAtQueryForNormalization;
+import static org.opensearch.neuralsearch.processor.explain.ExplainationUtils.getDocIdAtQueryForNormalization;
 
 /**
  * Abstracts normalization of scores based on L2 method
@@ -64,7 +64,7 @@ public String describe() {
     }
 
     @Override
-    public Map<DocIdAtSearchShard, ExplainDetails> explain(List<CompoundTopDocs> queryTopDocs) {
+    public Map<DocIdAtSearchShard, ExplainationDetails> explain(List<CompoundTopDocs> queryTopDocs) {
         Map<DocIdAtSearchShard, List<Float>> normalizedScores = new HashMap<>();
         Map<DocIdAtSearchShard, List<Float>> sourceScores = new HashMap<>();
         List<Float> normsPerSubquery = getL2Norm(queryTopDocs);

diff --git a/...rg/opensearch/neuralsearch/processor/normalization/MinMaxScoreNormalizationTechnique.java b/...rg/opensearch/neuralsearch/processor/normalization/MinMaxScoreNormalizationTechnique.java
@@ -20,10 +20,10 @@
 
 import lombok.ToString;
 import org.opensearch.neuralsearch.processor.explain.DocIdAtSearchShard;
-import org.opensearch.neuralsearch.processor.explain.ExplainDetails;
+import org.opensearch.neuralsearch.processor.explain.ExplainationDetails;
 import org.opensearch.neuralsearch.processor.explain.ExplainableTechnique;
 
-import static org.opensearch.neuralsearch.processor.explain.ExplainUtils.getDocIdAtQueryForNormalization;
+import static org.opensearch.neuralsearch.processor.explain.ExplainationUtils.getDocIdAtQueryForNormalization;
 
 /**
  * Abstracts normalization of scores based on min-max method
@@ -78,7 +78,7 @@ public String describe() {
     }
 
     @Override
-    public Map<DocIdAtSearchShard, ExplainDetails> explain(final List<CompoundTopDocs> queryTopDocs) {
+    public Map<DocIdAtSearchShard, ExplainationDetails> explain(final List<CompoundTopDocs> queryTopDocs) {
         Map<DocIdAtSearchShard, List<Float>> normalizedScores = new HashMap<>();
         Map<DocIdAtSearchShard, List<Float>> sourceScores = new HashMap<>();
 

diff --git a/src/main/java/org/opensearch/neuralsearch/processor/normalization/ScoreNormalizer.java b/src/main/java/org/opensearch/neuralsearch/processor/normalization/ScoreNormalizer.java
@@ -10,7 +10,7 @@
 
 import org.opensearch.neuralsearch.processor.CompoundTopDocs;
 import org.opensearch.neuralsearch.processor.explain.DocIdAtSearchShard;
-import org.opensearch.neuralsearch.processor.explain.ExplainDetails;
+import org.opensearch.neuralsearch.processor.explain.ExplainationDetails;
 import org.opensearch.neuralsearch.processor.explain.ExplainableTechnique;
 
 public class ScoreNormalizer {
@@ -30,7 +30,7 @@ private boolean canQueryResultsBeNormalized(final List<CompoundTopDocs> queryTop
         return queryTopDocs.stream().filter(Objects::nonNull).anyMatch(topDocs -> topDocs.getTopDocs().size() > 0);
     }
 
-    public Map<DocIdAtSearchShard, ExplainDetails> explain(
+    public Map<DocIdAtSearchShard, ExplainationDetails> explain(
         final List<CompoundTopDocs> queryTopDocs,
         final ExplainableTechnique scoreNormalizationTechnique
     ) {