Delete try/catch block in step

src/main/java/com/olympus/hermione/stepSolvers/EmbeddingDocTempSolver.java

@@ -4,9 +4,11 @@ import ch.qos.logback.classic.Logger;
 import com.olympus.hermione.models.ScenarioExecution;
 import com.olympus.hermione.utility.AttributeParser;
 import java.io.File;
+import java.io.IOException;
 import java.util.Collections;
 import java.util.List;
 import org.apache.tika.Tika;
+import org.apache.tika.exception.TikaException;
 import org.slf4j.LoggerFactory;
 import org.springframework.ai.document.Document;
 import org.springframework.ai.transformer.splitter.TokenTextSplitter;
@@ -20,8 +22,6 @@ public class EmbeddingDocTempSolver extends StepSolver {
     private int min_chunk_length_to_embed;
     private int max_num_chunks;
 
-
-
     Logger logger = (Logger) LoggerFactory.getLogger(EmbeddingDocTempSolver.class);
 
     private void loadParameters() {
@@ -69,7 +69,6 @@ public class EmbeddingDocTempSolver extends StepSolver {
     @Override
     public ScenarioExecution solveStep() {
 
-        try{
         logger.info("Solving step: " + this.step.getName());
         this.scenarioExecution.setCurrentStepId(this.step.getStepId());
         logger.info("Loading parameters for step: {}", this.step.getName());
@@ -79,13 +78,20 @@ public class EmbeddingDocTempSolver extends StepSolver {
         logger.info("Reading file from path: {}", this.path_file);
         Tika tika = new Tika();
         tika.setMaxStringLength(-1);
-            String text = tika.parseToString(file);
+        String text;
+        try {
+            text = tika.parseToString(file);
+        } catch (IOException | TikaException e) {
+            logger.error("Error parsing file: ", e);
+            throw new RuntimeException("Error parsing file", e);
+        }
         logger.info("File read successfully. Length: {} characters", text.length());
         Document myDoc = new Document(text);
 
         List<Document> docs = Collections.singletonList(myDoc);
 
-            logger.info("Initializing TokenTextSplitter with default_chunk_size={}, min_chunk_size={}, min_chunk_length_to_embed={}, max_num_chunks={}",
+        logger.info(
+                "Initializing TokenTextSplitter with default_chunk_size={}, min_chunk_size={}, min_chunk_length_to_embed={}, max_num_chunks={}",
                 this.default_chunk_size, this.min_chunk_size, this.min_chunk_length_to_embed, this.max_num_chunks);
         TokenTextSplitter splitter = new TokenTextSplitter(this.default_chunk_size,
                 this.min_chunk_size,
@@ -120,11 +126,6 @@ public class EmbeddingDocTempSolver extends StepSolver {
         });
         logger.info("All documents embedded and added to vector store successfully");
 
-        }catch (Exception e){
-            logger.error("Error while solvingStep: "+e.getMessage(), e);
-            e.printStackTrace();
-        }
-
         logger.info("Setting next step id: {}", this.step.getNextStepId());
         this.scenarioExecution.setNextStepId(this.step.getNextStepId());