Format logger and exception messages

Author: namannandan

frontend/server/src/main/java/org/pytorch/serve/wlm/ModelManager.java

@@ -244,14 +244,12 @@ private void setupModelVenv(Model model)
         StringBuilder outputString = new StringBuilder();
         BufferedReader brdr = new BufferedReader(new InputStreamReader(process.getInputStream()));
         while ((line = brdr.readLine()) != null) {
-            outputString.append(line);
+            outputString.append(line + "\n");
         }
 
         if (exitCode == 0) {
             logger.info(
-                    "Created virtual environment for model {}: {}",
-                    model.getModelName(),
-                    venvPath);
+                    "Created virtual environment for model {}: {}", model.getModelName(), venvPath);
         } else {
             logger.error(
                     "Virtual environment creation for model {} at {} failed:\n{}",
@@ -318,21 +316,21 @@ private void setupModelDependencies(Model model)
             BufferedReader brdr =
                     new BufferedReader(new InputStreamReader(process.getInputStream()));
             while ((line = brdr.readLine()) != null) {
-                outputString.append(line);
+                outputString.append(line + "\n");
             }
 
             if (exitCode == 0) {
                 logger.info(
-                        "Installed custom dependencies for model {}:\n{}",
+                        "Installed custom pip packages for model {}:\n{}",
                         model.getModelName(),
                         outputString.toString());
             } else {
                 logger.error(
-                        "Failed to install custom dependencies for model {}:\n{}",
+                        "Custom pip package installation failed for model {}:\n{}",
                         model.getModelName(),
                         outputString.toString());
                 throw new ModelException(
-                        "Failed to install custom dependencies for model " + model.getModelName());
+                        "Custom pip package installation failed for model " + model.getModelName());
             }
         }
     }

frontend/server/src/test/java/org/pytorch/serve/ModelServerTest.java

@@ -1169,7 +1169,7 @@ public void testModelWithInvalidCustomPythonDependency()
         Assert.assertEquals(TestUtils.getHttpStatus(), HttpResponseStatus.BAD_REQUEST);
         Assert.assertEquals(
                 resp.getMessage(),
-                "Custom pip package installation failed for custom_invalid_python_dep");
+                "Custom pip package installation failed for model custom_invalid_python_dep");
         TestUtils.setConfiguration(configManager, "install_py_dep_per_model", "false");
         channel.close().sync();
     }

frontend/server/src/test/java/org/pytorch/serve/WorkflowTest.java

@@ -424,7 +424,7 @@ public void testWorkflowWithInvalidCustomPythonDependencyModel()
         Assert.assertEquals(TestUtils.getHttpStatus(), HttpResponseStatus.INTERNAL_SERVER_ERROR);
         Assert.assertEquals(
                 resp.getMessage(),
-                "Workflow custom_invalid_python_dep has failed to register. Failures: [Workflow Node custom_invalid_python_dep__custom_invalid_python_dep failed to register. Details: Custom pip package installation failed for custom_invalid_python_dep__custom_invalid_python_dep]");
+                "Workflow custom_invalid_python_dep has failed to register. Failures: [Workflow Node custom_invalid_python_dep__custom_invalid_python_dep failed to register. Details: Custom pip package installation failed for model custom_invalid_python_dep__custom_invalid_python_dep]");
         TestUtils.setConfiguration(configManager, "install_py_dep_per_model", "false");
         channel.close().sync();
     }