Remove the integ test case cause cohere classify is deprecated in its llm service (opensearch-project#3513)

* Ignore the test cause cohere classify is deprecated in its llm service

Signed-off-by: b4sjoo <[email protected]>

* remove the test entirely

Signed-off-by: b4sjoo <[email protected]>

* Spotless

Signed-off-by: b4sjoo <[email protected]>

---------

Signed-off-by: b4sjoo <[email protected]>

Author: b4sjoo

plugin/src/test/java/org/opensearch/ml/rest/RestMLRemoteInferenceIT.java

@@ -740,120 +740,6 @@ public void testCohereGenerateTextModel() throws IOException, InterruptedExcepti
         assertFalse(((String) responseMap.get("text")).isEmpty());
     }
 
-    public void testCohereClassifyModel() throws IOException, InterruptedException {
-        // Skip test if key is null
-        if (COHERE_KEY == null) {
-            return;
-        }
-        String entity = "{\n"
-            + "  \"name\": \"Cohere classify model Connector\",\n"
-            + "  \"description\": \"The connector to public Cohere classify model service\",\n"
-            + "  \"version\": 1,\n"
-            + "  \"client_config\": {\n"
-            + "    \"max_connection\": 20,\n"
-            + "    \"connection_timeout\": 50000,\n"
-            + "    \"read_timeout\": 50000\n"
-            + "  },\n"
-            + "  \"protocol\": \"http\",\n"
-            + "  \"parameters\": {\n"
-            + "      \"endpoint\": \"api.cohere.ai\",\n"
-            + "      \"auth\": \"API_Key\",\n"
-            + "      \"content_type\": \"application/json\",\n"
-            + "      \"max_tokens\": \"20\"\n"
-            + "  },\n"
-            + "  \"credential\": {\n"
-            + "      \"cohere_key\": \""
-            + COHERE_KEY
-            + "\"\n"
-            + "  },\n"
-            + "  \"actions\": [\n"
-            + "      {\n"
-            + "      \"action_type\": \"predict\",\n"
-            + "          \"method\": \"POST\",\n"
-            + "          \"url\": \"https://${parameters.endpoint}/v1/classify\",\n"
-            + "          \"headers\": { \n"
-            + "          \"Authorization\": \"Bearer ${credential.cohere_key}\"\n"
-            + "          },\n"
-            + "          \"request_body\": \"{ \\\"inputs\\\": ${parameters.inputs}, \\\"examples\\\": ${parameters.examples}, \\\"truncate\\\": \\\"END\\\" }\"\n"
-            + "      }\n"
-            + "  ]\n"
-            + "}";
-        Response response = createConnector(entity);
-        Map responseMap = parseResponseToMap(response);
-        String connectorId = (String) responseMap.get("connector_id");
-        response = registerRemoteModel("cohere classify model", connectorId);
-        responseMap = parseResponseToMap(response);
-        String taskId = (String) responseMap.get("task_id");
-        waitForTask(taskId, MLTaskState.COMPLETED);
-        response = getTask(taskId);
-        responseMap = parseResponseToMap(response);
-        String modelId = (String) responseMap.get("model_id");
-        response = deployRemoteModel(modelId);
-        responseMap = parseResponseToMap(response);
-        taskId = (String) responseMap.get("task_id");
-        waitForTask(taskId, MLTaskState.COMPLETED);
-        String predictInput = "{\n"
-            + "  \"parameters\": {\n"
-            + "      \"inputs\": [\n"
-            + "            \"Confirm your email address\",\n"
-            + "            \"hey i need u to send some $\"\n"
-            + "        ],\n"
-            + "        \"examples\": [\n"
-            + "            {\n"
-            + "                \"text\": \"Dermatologists don't like her!\",\n"
-            + "                \"label\": \"Spam\"\n"
-            + "            },\n"
-            + "            {\n"
-            + "                \"text\": \"Hello, open to this?\",\n"
-            + "                \"label\": \"Spam\"\n"
-            + "            },\n"
-            + "            {\n"
-            + "                \"text\": \"I need help please wire me $1000 right now\",\n"
-            + "                \"label\": \"Spam\"\n"
-            + "            },\n"
-            + "            {\n"
-            + "                \"text\": \"Nice to know you ;)\",\n"
-            + "                \"label\": \"Spam\"\n"
-            + "            },\n"
-            + "            {\n"
-            + "                \"text\": \"Please help me?\",\n"
-            + "                \"label\": \"Spam\"\n"
-            + "            },\n"
-            + "            {\n"
-            + "                \"text\": \"Your parcel will be delivered today\",\n"
-            + "                \"label\": \"Not spam\"\n"
-            + "            },\n"
-            + "            {\n"
-            + "                \"text\": \"Review changes to our Terms and Conditions\",\n"
-            + "                \"label\": \"Not spam\"\n"
-            + "            },\n"
-            + "            {\n"
-            + "                \"text\": \"Weekly sync notes\",\n"
-            + "                \"label\": \"Not spam\"\n"
-            + "            },\n"
-            + "            {\n"
-            + "                \"text\": \"Re: Follow up from todays meeting\",\n"
-            + "                \"label\": \"Not spam\"\n"
-            + "            },\n"
-            + "            {\n"
-            + "                \"text\": \"Pre-read for tomorrow\",\n"
-            + "                \"label\": \"Not spam\"\n"
-            + "            }\n"
-            + "        ]\n"
-            + "  }\n"
-            + "}";
-
-        response = predictRemoteModel(modelId, predictInput);
-        responseMap = parseResponseToMap(response);
-        List responseList = (List) responseMap.get("inference_results");
-        responseMap = (Map) responseList.get(0);
-        responseList = (List) responseMap.get("output");
-        responseMap = (Map) responseList.get(0);
-        responseMap = (Map) responseMap.get("dataAsMap");
-        responseList = (List) responseMap.get("classifications");
-        assertFalse(responseList.isEmpty());
-    }
-
     public static Response createConnector(String input) throws IOException {
         try {
             return TestHelper.makeRequest(client(), "POST", "/_plugins/_ml/connectors/_create", null, TestHelper.toHttpEntity(input), null);