tune code

Signed-off-by: yuye-aws <[email protected]>

src/main/java/org/opensearch/neuralsearch/processor/TextChunkingProcessor.java

@@ -33,8 +33,8 @@
 import static org.opensearch.neuralsearch.processor.chunker.ChunkerParameterParser.parseIntegerParameter;
 
 /**
- * This processor is used for user input data text chunking.
- * The chunking results could be fed to downstream embedding processor.
+ * This processor is used for text chunking.
+ * The text chunking results could be fed to downstream embedding processor.
  * The processor needs two fields: algorithm and field_map,
  * where algorithm defines chunking algorithm and parameters,
  * and field_map specifies which fields needs chunking and the corresponding keys for the chunking results.

src/main/java/org/opensearch/neuralsearch/processor/chunker/ChunkerFactory.java

@@ -19,18 +19,18 @@ public final class ChunkerFactory {
 
     private ChunkerFactory() {} // no instance of this factory class
 
-    private static final ImmutableMap<String, Function<Map<String, Object>, Chunker>> chunkers = ImmutableMap.of(
+    private static final Map<String, Function<Map<String, Object>, Chunker>> chunkerConstructors = ImmutableMap.of(
         FixedTokenLengthChunker.ALGORITHM_NAME,
         FixedTokenLengthChunker::new,
         DelimiterChunker.ALGORITHM_NAME,
         DelimiterChunker::new
     );
 
     @Getter
-    public static Set<String> allChunkerAlgorithms = chunkers.keySet();
+    public static Set<String> allChunkerAlgorithms = chunkerConstructors.keySet();
 
     public static Chunker create(final String type, final Map<String, Object> parameters) {
-        Function<Map<String, Object>, Chunker> chunkerConstructionFunction = chunkers.get(type);
+        Function<Map<String, Object>, Chunker> chunkerConstructionFunction = chunkerConstructors.get(type);
         // chunkerConstructionFunction is not null because we have validated the type in text chunking processor
         Objects.requireNonNull(chunkerConstructionFunction);
         return chunkerConstructionFunction.apply(parameters);