fix document chunking processor IT

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

src/test/java/org/opensearch/neuralsearch/processor/DocumentChunkingProcessorIT.java

@@ -5,7 +5,6 @@
 package org.opensearch.neuralsearch.processor;
 
 import com.google.common.collect.ImmutableList;
-import lombok.extern.log4j.Log4j2;
 import org.apache.hc.core5.http.HttpHeaders;
 import org.apache.hc.core5.http.io.entity.EntityUtils;
 import org.apache.hc.core5.http.message.BasicHeader;
@@ -25,9 +24,8 @@
 import org.opensearch.neuralsearch.BaseNeuralSearchIT;
 import static org.opensearch.neuralsearch.TestUtils.DEFAULT_USER_AGENT;
 
-@Log4j2
 public class DocumentChunkingProcessorIT extends BaseNeuralSearchIT {
-    private static final String INDEX_NAME = "document_chunking_index";
+    private static final String INDEX_NAME = "document_chunking_test_index";
 
     private static final String OUTPUT_FIELD = "body_chunk";
 
@@ -103,26 +101,17 @@ public void testDocumentChunkingProcessor_withFixedTokenLengthAlgorithmLetterTok
 
     public void testDocumentChunkingProcessor_withFixedTokenLengthAlgorithmLowercaseTokenizer_thenSucceed() throws Exception {
         try {
-            log.error("Creating pipeline: " + FIXED_TOKEN_LENGTH_PIPELINE_WITH_LOWERCASE_TOKENIZER_NAME);
             createPipelineProcessor(FIXED_TOKEN_LENGTH_PIPELINE_WITH_LOWERCASE_TOKENIZER_NAME);
-            log.error("Successfully created pipeline: " + FIXED_TOKEN_LENGTH_PIPELINE_WITH_LOWERCASE_TOKENIZER_NAME);
             createDocumentChunkingIndex(INDEX_NAME, FIXED_TOKEN_LENGTH_PIPELINE_WITH_LOWERCASE_TOKENIZER_NAME);
-            log.error("Successfully created index: " + INDEX_NAME);
             ingestDocument(TEST_DOCUMENT);
 
             List<String> expectedPassages = new ArrayList<>();
             expectedPassages.add("This is an example document to be chunked. The document");
             expectedPassages.add("contains a single paragraph, two sentences and 24 tokens by standard");
             expectedPassages.add("tokenizer in OpenSearch.");
             validateIndexIngestResults(INDEX_NAME, OUTPUT_FIELD, expectedPassages);
-        } catch (Exception e) {
-            log.error("LowercaseTokenizer main body encounters exception: " + e);
         } finally {
-            try {
-                wipeOfTestResources(INDEX_NAME, FIXED_TOKEN_LENGTH_PIPELINE_WITH_LOWERCASE_TOKENIZER_NAME, null, null);
-            } catch (Exception e) {
-                log.error("LowercaseTokenizer wipeOfTestResources encounters exception: " + e);
-            }
+            wipeOfTestResources(INDEX_NAME, FIXED_TOKEN_LENGTH_PIPELINE_WITH_LOWERCASE_TOKENIZER_NAME, null, null);
         }
     }
 
@@ -176,7 +165,6 @@ public void testDocumentChunkingProcessor_withCascadePipeline_successful() throw
                 " The document contains a single paragraph, two sentences and 24 tokens by standard tokenizer in OpenSearch."
             );
             validateIndexIngestResults(INDEX_NAME, INTERMEDIATE_FIELD, expectedPassages);
-
         } finally {
             wipeOfTestResources(INDEX_NAME, CASCADE_PIPELINE_NAME, null, null);
         }
@@ -199,7 +187,6 @@ private void validateIndexIngestResults(String indexName, String fieldName, Obje
     }
 
     private void createPipelineProcessor(String pipelineName) throws Exception {
-        log.error("createPipelineProcessor with file: " + PIPELINE_CONFIGS_BY_NAME.get(pipelineName));
         URL pipelineURLPath = classLoader.getResource(PIPELINE_CONFIGS_BY_NAME.get(pipelineName));
         assert pipelineURLPath != null;
         String requestBody = Files.readString(Path.of(pipelineURLPath.toURI()));