escape input data

common/src/main/java/org/opensearch/ml/common/connector/functions/preprocess/BedrockEmbeddingPreProcessFunction.java

@@ -28,7 +28,7 @@ public void validate(MLInput mlInput) {
     @Override
     public RemoteInferenceInputDataSet process(MLInput mlInput) {
         TextDocsInputDataSet inputData = (TextDocsInputDataSet) mlInput.getInputDataset();
-        Map<String, Object> processedResult = Map.of("parameters", Map.of("inputText", processTextDocs(inputData).get(0)));
+        Map<String, Object> processedResult = Map.of("parameters", Map.of("inputText", inputData.getDocs().get(0)));
         return RemoteInferenceInputDataSet.builder().parameters(convertScriptStringToJsonString(processedResult)).build();
     }
 }

common/src/main/java/org/opensearch/ml/common/connector/functions/preprocess/CohereEmbeddingPreProcessFunction.java

@@ -28,7 +28,7 @@ public void validate(MLInput mlInput) {
     @Override
     public RemoteInferenceInputDataSet process(MLInput mlInput) {
         TextDocsInputDataSet inputData = (TextDocsInputDataSet) mlInput.getInputDataset();
-        Map<String, Object> processedResult = Map.of("parameters", Map.of("texts", processTextDocs(inputData)));
+        Map<String, Object> processedResult = Map.of("parameters", Map.of("texts", inputData.getDocs()));
         return RemoteInferenceInputDataSet.builder().parameters(convertScriptStringToJsonString(processedResult)).build();
     }
 }

common/src/main/java/org/opensearch/ml/common/connector/functions/preprocess/ConnectorPreProcessFunction.java

@@ -10,12 +10,8 @@
 import org.opensearch.ml.common.dataset.remote.RemoteInferenceInputDataSet;
 import org.opensearch.ml.common.input.MLInput;
 
-import java.util.ArrayList;
-import java.util.List;
 import java.util.function.Function;
 
-import static org.opensearch.ml.common.utils.StringUtils.gson;
-
 @Log4j2
 public abstract class ConnectorPreProcessFunction implements Function<MLInput, RemoteInferenceInputDataSet> {
 
@@ -38,21 +34,6 @@ public RemoteInferenceInputDataSet apply(MLInput mlInput) {
 
     public abstract RemoteInferenceInputDataSet process(MLInput mlInput);
 
-    List<String> processTextDocs(TextDocsInputDataSet inputDataSet) {
-        List<String> docs = new ArrayList<>();
-        for (String doc : inputDataSet.getDocs()) {
-            if (doc != null) {
-                String gsonString = gson.toJson(doc);
-                // in 2.9, user will add " before and after string
-                // gson.toString(string) will add extra " before after string, so need to remove
-                docs.add(gsonString.substring(1, gsonString.length() - 1));
-            } else {
-                docs.add(null);
-            }
-        }
-        return docs;
-    }
-
     public void validateTextDocsInput(MLInput mlInput) {
         if (!(mlInput.getInputDataset() instanceof TextDocsInputDataSet)) {
             throw new IllegalArgumentException("This pre_process_function can only support TextDocsInputDataSet");

common/src/main/java/org/opensearch/ml/common/connector/functions/preprocess/OpenAIEmbeddingPreProcessFunction.java

@@ -28,7 +28,7 @@ public void validate(MLInput mlInput) {
     @Override
     public RemoteInferenceInputDataSet process(MLInput mlInput) {
         TextDocsInputDataSet inputData = (TextDocsInputDataSet) mlInput.getInputDataset();
-        Map<String, Object> processedResult = Map.of("parameters", Map.of("input", processTextDocs(inputData)));
+        Map<String, Object> processedResult = Map.of("parameters", Map.of("input", inputData.getDocs()));
         return RemoteInferenceInputDataSet.builder().parameters(convertScriptStringToJsonString(processedResult)).build();
     }
 }

common/src/main/java/org/opensearch/ml/common/utils/StringUtils.java

@@ -18,6 +18,7 @@
 import java.security.AccessController;
 import java.security.PrivilegedActionException;
 import java.security.PrivilegedExceptionAction;
+import java.util.ArrayList;
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
@@ -120,4 +121,23 @@ public static Map<String, String> convertScriptStringToJsonString(Map<String, Ob
         }
         return parameterStringMap;
     }
+
+    public static List<String> processTextDocs(List<String> inputDocs) {
+        List<String> docs = new ArrayList<>();
+        for (String doc : inputDocs) {
+            docs.add(processTextDoc(doc));
+        }
+        return docs;
+    }
+
+    public static String processTextDoc(String doc) {
+        if (doc != null) {
+            String gsonString = gson.toJson(doc);
+            // in 2.9, user will add " before and after string
+            // gson.toString(string) will add extra " before after string, so need to remove
+            return gsonString.substring(1, gsonString.length() - 1);
+        } else {
+            return null;
+        }
+    }
 }

common/src/test/java/org/opensearch/ml/common/connector/functions/preprocess/DefaultPreProcessFunctionTest.java

@@ -19,7 +19,6 @@
 import org.opensearch.script.ScriptService;
 
 import java.util.Arrays;
-import java.util.Map;
 
 import static org.junit.Assert.assertEquals;
 import static org.mockito.ArgumentMatchers.any;

common/src/test/java/org/opensearch/ml/common/utils/StringUtilsTest.java

@@ -8,6 +8,7 @@
 import org.junit.Assert;
 import org.junit.Test;
 
+import java.util.Arrays;
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
@@ -99,4 +100,13 @@ public void getParameterMap() {
         Assert.assertEquals("[10,20]", parameterMap.get("key4"));
         Assert.assertEquals("[1.01,\"abc\"]", parameterMap.get("key5"));
     }
+
+    @Test
+    public void processTextDocs() {
+        List<String> processedDocs = StringUtils.processTextDocs(Arrays.asList("abc \n\n123\"4", null, "[1.01,\"abc\"]"));
+        Assert.assertEquals(3, processedDocs.size());
+        Assert.assertEquals("abc \\n\\n123\\\"4", processedDocs.get(0));
+        Assert.assertNull(processedDocs.get(1));
+        Assert.assertEquals("[1.01,\\\"abc\\\"]", processedDocs.get(2));
+    }
 }

ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/remote/ConnectorUtils.java

@@ -10,6 +10,8 @@
 import static org.opensearch.ml.common.connector.MLPreProcessFunction.CONVERT_INPUT_TO_JSON_STRING;
 import static org.opensearch.ml.common.connector.MLPreProcessFunction.PROCESS_REMOTE_INFERENCE_INPUT;
 import static org.opensearch.ml.common.utils.StringUtils.gson;
+import static org.opensearch.ml.common.utils.StringUtils.processTextDoc;
+import static org.opensearch.ml.common.utils.StringUtils.processTextDocs;
 import static org.opensearch.ml.engine.utils.ScriptUtils.executePostProcessFunction;
 
 import java.io.IOException;
@@ -29,6 +31,7 @@
 import org.opensearch.ml.common.connector.functions.preprocess.DefaultPreProcessFunction;
 import org.opensearch.ml.common.connector.functions.preprocess.RemoteInferencePreProcessFunction;
 import org.opensearch.ml.common.dataset.TextDocsInputDataSet;
+import org.opensearch.ml.common.dataset.TextSimilarityInputDataSet;
 import org.opensearch.ml.common.dataset.remote.RemoteInferenceInputDataSet;
 import org.opensearch.ml.common.input.MLInput;
 import org.opensearch.ml.common.output.model.ModelTensor;
@@ -68,20 +71,7 @@
             throw new IllegalArgumentException("no predict action found");
         }
         RemoteInferenceInputDataSet inputData = processMLInput(mlInput, connector, parameters, scriptService);
-        if (inputData.getParameters() != null) {
-            Map<String, String> newParameters = new HashMap<>();
-            inputData.getParameters().forEach((key, value) -> {
-                if (value == null) {
-                    newParameters.put(key, null);
-                } else if (org.opensearch.ml.common.utils.StringUtils.isJson(value)) {
-                    // no need to escape if it's already valid json
-                    newParameters.put(key, value);
-                } else {
-                    newParameters.put(key, escapeJson(value));
-                }
-            });
-            inputData.setParameters(newParameters);
-        }
+        escapeRemoteInferenceInputData(inputData);
         return inputData;
     }
 
@@ -112,6 +102,7 @@
                     return (RemoteInferenceInputDataSet) mlInput.getInputDataset();
                 }
             } else {
+                MLInput newInput = escapeMLInput(mlInput);
                 boolean convertInputToJsonString = parameters.containsKey(CONVERT_INPUT_TO_JSON_STRING)
                     && Boolean.parseBoolean(parameters.get(CONVERT_INPUT_TO_JSON_STRING));
                 DefaultPreProcessFunction function = DefaultPreProcessFunction
@@ -120,11 +111,51 @@
                     .preProcessFunction(preProcessFunction)
                     .convertInputToJsonString(convertInputToJsonString)
                     .build();
-                return function.apply(mlInput);
+                return function.apply(newInput);
             }
         }
     }
 
+    private static MLInput escapeMLInput(MLInput mlInput) {
+        if (mlInput.getInputDataset() instanceof TextDocsInputDataSet) {
+            List<String> docs = ((TextDocsInputDataSet) mlInput.getInputDataset()).getDocs();
+            List<String> newDocs = processTextDocs(docs);
+            TextDocsInputDataSet newInputData = ((TextDocsInputDataSet) mlInput.getInputDataset()).toBuilder().docs(newDocs).build();
+            return mlInput.toBuilder().inputDataset(newInputData).build();
+        }
+
+        if (mlInput.getInputDataset() instanceof TextSimilarityInputDataSet) {
+            String query = ((TextSimilarityInputDataSet) mlInput.getInputDataset()).getQueryText();
+            String newQuery = processTextDoc(query);
+            List<String> docs = ((TextSimilarityInputDataSet) mlInput.getInputDataset()).getTextDocs();
+            List<String> newDocs = processTextDocs(docs);
+            TextSimilarityInputDataSet newInputData = ((TextSimilarityInputDataSet) mlInput.getInputDataset())
+                .toBuilder()
+                .queryText(newQuery)
+                .textDocs(newDocs)
+                .build();
+            return mlInput.toBuilder().inputDataset(newInputData).build();
+        }
+        return mlInput;
+    }
+
+    public static void escapeRemoteInferenceInputData(RemoteInferenceInputDataSet inputData) {
+        Map<String, String> newParameters = new HashMap<>();
+        if (inputData.getParameters() != null) {
+            inputData.getParameters().forEach((key, value) -> {
+                if (value == null) {
+                    newParameters.put(key, null);
+                } else if (org.opensearch.ml.common.utils.StringUtils.isJson(value)) {
+                    // no need to escape if it's already valid json
+                    newParameters.put(key, value);
+                } else {
+                    newParameters.put(key, escapeJson(value));
+                }
+            });
+            inputData.setParameters(newParameters);
+        }
+    }
+
     private static String getPreprocessFunction(MLInput mlInput, Connector connector) {
         Optional<ConnectorAction> predictAction = connector.findPredictAction();
         String preProcessFunction = predictAction.get().getPreProcessFunction();

ml-algorithms/src/main/java/org/opensearch/ml/engine/algorithms/remote/RemoteConnectorExecutor.java

@@ -5,6 +5,7 @@
 
 package org.opensearch.ml.engine.algorithms.remote;
 
+import static org.opensearch.ml.engine.algorithms.remote.ConnectorUtils.escapeRemoteInferenceInputData;
 import static org.opensearch.ml.engine.algorithms.remote.ConnectorUtils.processInput;
 
 import java.util.ArrayList;
@@ -108,6 +109,7 @@ default void preparePayloadAndInvokeRemoteModel(MLInput mlInput, List<ModelTenso
         MLInputDataset inputDataset = mlInput.getInputDataset();
         Map<String, String> inputParameters = new HashMap<>();
         if (inputDataset instanceof RemoteInferenceInputDataSet && ((RemoteInferenceInputDataSet) inputDataset).getParameters() != null) {
+            escapeRemoteInferenceInputData((RemoteInferenceInputDataSet) inputDataset);
             inputParameters.putAll(((RemoteInferenceInputDataSet) inputDataset).getParameters());
         }
         parameters.putAll(inputParameters);