From 1d306713a226fe84ff7cd2326084edc1beb3f112 Mon Sep 17 00:00:00 2001 From: zane-neo Date: Tue, 3 Dec 2024 17:25:18 +0800 Subject: [PATCH 1/6] Retrieve remote model id from registration response in IT to avoid flaky (#3244) Signed-off-by: zane-neo --- .../java/org/opensearch/ml/rest/MLCommonsRestTestCase.java | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/plugin/src/test/java/org/opensearch/ml/rest/MLCommonsRestTestCase.java b/plugin/src/test/java/org/opensearch/ml/rest/MLCommonsRestTestCase.java index 2092b9f4b4..6f710ea1de 100644 --- a/plugin/src/test/java/org/opensearch/ml/rest/MLCommonsRestTestCase.java +++ b/plugin/src/test/java/org/opensearch/ml/rest/MLCommonsRestTestCase.java @@ -1002,15 +1002,11 @@ public String registerRemoteModel(String createConnectorInput, String modelName, String connectorId = (String) responseMap.get("connector_id"); response = RestMLRemoteInferenceIT.registerRemoteModel(modelName, modelName, connectorId); responseMap = parseResponseToMap(response); - String taskId = (String) responseMap.get("task_id"); - waitForTask(taskId, MLTaskState.COMPLETED); - response = RestMLRemoteInferenceIT.getTask(taskId); - responseMap = parseResponseToMap(response); String modelId = (String) responseMap.get("model_id"); if (deploy) { response = RestMLRemoteInferenceIT.deployRemoteModel(modelId); responseMap = parseResponseToMap(response); - taskId = (String) responseMap.get("task_id"); + String taskId = (String) responseMap.get("task_id"); waitForTask(taskId, MLTaskState.COMPLETED); } return modelId; From 1a659c8048dd23cdab3ab881622bf8cd355e1631 Mon Sep 17 00:00:00 2001 From: Brian Flores Date: Fri, 6 Dec 2024 15:44:11 -0800 Subject: [PATCH 2/6] Fixes Two Flaky IT classes RestMLGuardrailsIT & ToolIntegrationWithLLMTest (#3253) * fix uneeded call to get model_id for task api within RestMLGuardrailsIT Following #3244 this IT called the task api to check the model id again however this is redundant. Instead one can directly pull the model_id upon creating the model group. Manual testing was done to see that the behavior is intact, this should help reduce the calls within a IT to make it less flaky Signed-off-by: Brian Flores * fix ToolIntegrationWithLLMTest model undeploy race condition Previously the test class attempted to delete a model without fully knowing if the model was undeployed in time. This change adds a waiting for 5 retries each 1 second to check the status of the model and only when undeployed will it proceed to delete the model. When the number of retries are exceeded it throws a error indicating a deeper problem. Manual testing was done to check that the model is undeployed by searching for the specific model via the checkForModelUndeployedStatus method. Signed-off-by: Brian Flores --------- Signed-off-by: Brian Flores --- .../ml/rest/MLCommonsRestTestCase.java | 2 +- .../ml/rest/RestMLGuardrailsIT.java | 63 +++++++++---------- .../ml/tools/ToolIntegrationWithLLMTest.java | 23 ++++--- 3 files changed, 47 insertions(+), 41 deletions(-) diff --git a/plugin/src/test/java/org/opensearch/ml/rest/MLCommonsRestTestCase.java b/plugin/src/test/java/org/opensearch/ml/rest/MLCommonsRestTestCase.java index 6f710ea1de..6871747fc7 100644 --- a/plugin/src/test/java/org/opensearch/ml/rest/MLCommonsRestTestCase.java +++ b/plugin/src/test/java/org/opensearch/ml/rest/MLCommonsRestTestCase.java @@ -977,7 +977,7 @@ public void waitForTask(String taskId, MLTaskState targetState) throws Interrupt } return taskDone.get(); }, CUSTOM_MODEL_TIMEOUT, TimeUnit.SECONDS); - assertTrue(taskDone.get()); + assertTrue(String.format(Locale.ROOT, "Task Id %s could not get to %s state", taskId, targetState.name()), taskDone.get()); } public String registerConnector(String createConnectorInput) throws IOException, InterruptedException { diff --git a/plugin/src/test/java/org/opensearch/ml/rest/RestMLGuardrailsIT.java b/plugin/src/test/java/org/opensearch/ml/rest/RestMLGuardrailsIT.java index fbabf1dbb7..bd1c9536bf 100644 --- a/plugin/src/test/java/org/opensearch/ml/rest/RestMLGuardrailsIT.java +++ b/plugin/src/test/java/org/opensearch/ml/rest/RestMLGuardrailsIT.java @@ -124,17 +124,16 @@ public void testPredictRemoteModelSuccess() throws IOException, InterruptedExcep Response response = createConnector(completionModelConnectorEntity); Map responseMap = parseResponseToMap(response); String connectorId = (String) responseMap.get("connector_id"); + response = registerRemoteModelWithLocalRegexGuardrails("openAI-GPT-3.5 completions", 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"); + String taskId = (String) responseMap.get("task_id"); waitForTask(taskId, MLTaskState.COMPLETED); + String predictInput = "{\n" + " \"parameters\": {\n" + " \"prompt\": \"Say this is a test\"\n" + " }\n" + "}"; response = predictRemoteModel(modelId, predictInput); responseMap = parseResponseToMap(response); @@ -144,6 +143,7 @@ public void testPredictRemoteModelSuccess() throws IOException, InterruptedExcep responseMap = (Map) responseList.get(0); responseMap = (Map) responseMap.get("dataAsMap"); responseList = (List) responseMap.get("choices"); + if (responseList == null) { assertTrue(checkThrottlingOpenAI(responseMap)); return; @@ -160,18 +160,18 @@ public void testPredictRemoteModelFailed() throws IOException, InterruptedExcept exceptionRule.expect(ResponseException.class); exceptionRule.expectMessage("guardrails triggered for user input"); Response response = createConnector(completionModelConnectorEntity); + Map responseMap = parseResponseToMap(response); String connectorId = (String) responseMap.get("connector_id"); + response = registerRemoteModelWithLocalRegexGuardrails("openAI-GPT-3.5 completions", 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"); + String taskId = (String) responseMap.get("task_id"); + waitForTask(taskId, MLTaskState.COMPLETED); String predictInput = "{\n" + " \"parameters\": {\n" + " \"prompt\": \"Say this is a test of stop word.\"\n" + " }\n" + "}"; predictRemoteModel(modelId, predictInput); @@ -187,17 +187,16 @@ public void testPredictRemoteModelFailedNonType() throws IOException, Interrupte Response response = createConnector(completionModelConnectorEntity); Map responseMap = parseResponseToMap(response); String connectorId = (String) responseMap.get("connector_id"); + response = registerRemoteModelNonTypeGuardrails("openAI-GPT-3.5 completions", 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"); + String taskId = (String) responseMap.get("task_id"); waitForTask(taskId, MLTaskState.COMPLETED); + String predictInput = "{\n" + " \"parameters\": {\n" + " \"prompt\": \"Say this is a test of stop word.\"\n" + " }\n" + "}"; predictRemoteModel(modelId, predictInput); } @@ -211,17 +210,16 @@ public void testPredictRemoteModelSuccessWithModelGuardrail() throws IOException Response response = createConnector(completionModelConnectorEntityWithGuardrail); Map responseMap = parseResponseToMap(response); String guardrailConnectorId = (String) responseMap.get("connector_id"); + response = registerRemoteModel("guardrail model group", "openAI-GPT-3.5 completions", guardrailConnectorId); responseMap = parseResponseToMap(response); - String taskId = (String) responseMap.get("task_id"); - waitForTask(taskId, MLTaskState.COMPLETED); - response = getTask(taskId); - responseMap = parseResponseToMap(response); String guardrailModelId = (String) responseMap.get("model_id"); + response = deployRemoteModel(guardrailModelId); responseMap = parseResponseToMap(response); - taskId = (String) responseMap.get("task_id"); + String taskId = (String) responseMap.get("task_id"); waitForTask(taskId, MLTaskState.COMPLETED); + // Check the response from guardrails model that should be "accept". String predictInput = "{\n" + " \"parameters\": {\n" + " \"question\": \"hello\"\n" + " }\n" + "}"; response = predictRemoteModel(guardrailModelId, predictInput); @@ -233,21 +231,21 @@ public void testPredictRemoteModelSuccessWithModelGuardrail() throws IOException responseMap = (Map) responseMap.get("dataAsMap"); String validationResult = (String) responseMap.get("response"); Assert.assertTrue(validateRegex(validationResult, acceptRegex)); + // Create predict model. response = createConnector(completionModelConnectorEntity); responseMap = parseResponseToMap(response); String connectorId = (String) responseMap.get("connector_id"); + response = registerRemoteModelWithModelGuardrails("openAI with guardrails", connectorId, guardrailModelId); responseMap = parseResponseToMap(response); - 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); + // Predict. predictInput = "{\n" + " \"parameters\": {\n" @@ -282,17 +280,17 @@ public void testPredictRemoteModelFailedWithModelGuardrail() throws IOException, Response response = createConnector(completionModelConnectorEntityWithGuardrail); Map responseMap = parseResponseToMap(response); String guardrailConnectorId = (String) responseMap.get("connector_id"); + + // Create the model ID response = registerRemoteModel("guardrail model group", "openAI-GPT-3.5 completions", guardrailConnectorId); responseMap = parseResponseToMap(response); - String taskId = (String) responseMap.get("task_id"); - waitForTask(taskId, MLTaskState.COMPLETED); - response = getTask(taskId); - responseMap = parseResponseToMap(response); String guardrailModelId = (String) responseMap.get("model_id"); + response = deployRemoteModel(guardrailModelId); responseMap = parseResponseToMap(response); - taskId = (String) responseMap.get("task_id"); + String taskId = (String) responseMap.get("task_id"); waitForTask(taskId, MLTaskState.COMPLETED); + // Check the response from guardrails model that should be "reject". String predictInput = "{\n" + " \"parameters\": {\n" + " \"question\": \"I will be executed or tortured.\"\n" + " }\n" + "}"; response = predictRemoteModel(guardrailModelId, predictInput); @@ -304,17 +302,16 @@ public void testPredictRemoteModelFailedWithModelGuardrail() throws IOException, responseMap = (Map) responseMap.get("dataAsMap"); String validationResult = (String) responseMap.get("response"); Assert.assertTrue(validateRegex(validationResult, rejectRegex)); + // Create predict model. response = createConnector(completionModelConnectorEntity); responseMap = parseResponseToMap(response); String connectorId = (String) responseMap.get("connector_id"); + response = registerRemoteModelWithModelGuardrails("openAI with guardrails", connectorId, guardrailModelId); responseMap = parseResponseToMap(response); - 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"); diff --git a/plugin/src/test/java/org/opensearch/ml/tools/ToolIntegrationWithLLMTest.java b/plugin/src/test/java/org/opensearch/ml/tools/ToolIntegrationWithLLMTest.java index b46d2d6a3b..a9b3f84bfc 100644 --- a/plugin/src/test/java/org/opensearch/ml/tools/ToolIntegrationWithLLMTest.java +++ b/plugin/src/test/java/org/opensearch/ml/tools/ToolIntegrationWithLLMTest.java @@ -9,7 +9,6 @@ import java.util.List; import java.util.Locale; import java.util.Map; -import java.util.Set; import java.util.UUID; import java.util.concurrent.TimeUnit; import java.util.function.Predicate; @@ -32,7 +31,7 @@ @Log4j2 public abstract class ToolIntegrationWithLLMTest extends RestBaseAgentToolsIT { - private static final int MAX_TASK_RESULT_QUERY_TIME_IN_SECOND = 30; + private static final int MAX_RETRIES = 5; private static final int DEFAULT_TASK_RESULT_QUERY_INTERVAL_IN_MILLISECOND = 1000; protected HttpServer server; @@ -72,16 +71,17 @@ public void stopMockLLM() { @After public void deleteModel() throws IOException { undeployModel(modelId); + checkForModelUndeployedStatus(modelId); deleteModel(client(), modelId, null); } @SneakyThrows - private void waitModelUndeployed(String modelId) { + private void checkForModelUndeployedStatus(String modelId) { Predicate condition = response -> { try { Map responseInMap = parseResponseToMap(response); MLModelState state = MLModelState.from(responseInMap.get(MLModel.MODEL_STATE_FIELD).toString()); - return Set.of(MLModelState.UNDEPLOYED, MLModelState.DEPLOY_FAILED).contains(state); + return MLModelState.UNDEPLOYED.equals(state); } catch (Exception e) { return false; } @@ -91,16 +91,25 @@ private void waitModelUndeployed(String modelId) { @SneakyThrows protected Response waitResponseMeetingCondition(String method, String endpoint, String jsonEntity, Predicate condition) { - for (int i = 0; i < MAX_TASK_RESULT_QUERY_TIME_IN_SECOND; i++) { + for (int attempt = 1; attempt <= MAX_RETRIES; attempt++) { Response response = TestHelper.makeRequest(client(), method, endpoint, null, jsonEntity, null); assertEquals(RestStatus.OK, RestStatus.fromCode(response.getStatusLine().getStatusCode())); if (condition.test(response)) { return response; } - logger.info("The {}-th response: {}", i, response.toString()); + logger.info("The {}-th attempt on {}:{} . response: {}", attempt, method, endpoint, response.toString()); Thread.sleep(DEFAULT_TASK_RESULT_QUERY_INTERVAL_IN_MILLISECOND); } - fail("The response failed to meet condition after " + MAX_TASK_RESULT_QUERY_TIME_IN_SECOND + " seconds."); + fail( + String + .format( + Locale.ROOT, + "The response failed to meet condition after %d attempts. Attempted to perform %s : %s", + MAX_RETRIES, + method, + endpoint + ) + ); return null; } From 8eea6dc8060d44d401150868a612ad929798dba3 Mon Sep 17 00:00:00 2001 From: Pavan Yekbote Date: Mon, 9 Dec 2024 14:45:05 -0800 Subject: [PATCH 3/6] [Refactor] Remove bloat due to unnecessary setup in test and add retry for potential flaky behavior due to timeout (#3259) * refactor: add retries and remove bloat Signed-off-by: Pavan Yekbote * fix: adding return for valid inputs to prevent multiple runs Signed-off-by: Pavan Yekbote --------- Signed-off-by: Pavan Yekbote --- .../ml/action/models/GetModelITTests.java | 50 +++++++++++-------- 1 file changed, 30 insertions(+), 20 deletions(-) diff --git a/plugin/src/test/java/org/opensearch/ml/action/models/GetModelITTests.java b/plugin/src/test/java/org/opensearch/ml/action/models/GetModelITTests.java index f8736b80fe..62ed498e4f 100644 --- a/plugin/src/test/java/org/opensearch/ml/action/models/GetModelITTests.java +++ b/plugin/src/test/java/org/opensearch/ml/action/models/GetModelITTests.java @@ -5,38 +5,48 @@ package org.opensearch.ml.action.models; -import org.junit.Before; -import org.junit.Ignore; -import org.junit.Rule; -import org.junit.rules.ExpectedException; +import org.opensearch.OpenSearchTimeoutException; import org.opensearch.action.ActionRequestValidationException; import org.opensearch.ml.action.MLCommonsIntegTestCase; -import org.opensearch.ml.common.MLModel; import org.opensearch.ml.common.exception.MLResourceNotFoundException; import org.opensearch.test.OpenSearchIntegTestCase; @OpenSearchIntegTestCase.ClusterScope(scope = OpenSearchIntegTestCase.Scope.SUITE, numDataNodes = 2) public class GetModelITTests extends MLCommonsIntegTestCase { - private String irisIndexName; - @Rule - public ExpectedException exceptionRule = ExpectedException.none(); + private static final int MAX_RETRIES = 3; - @Before - public void setUp() throws Exception { - super.setUp(); - irisIndexName = "iris_data_for_model_it"; - loadIrisData(irisIndexName); - } - - @Ignore public void testGetModel_IndexNotFound() { - exceptionRule.expect(MLResourceNotFoundException.class); - MLModel model = getModel("test_id"); + testGetModelExceptionsWithRetry(MLResourceNotFoundException.class, "test_id"); } public void testGetModel_NullModelIdException() { - exceptionRule.expect(ActionRequestValidationException.class); - MLModel model = getModel(null); + testGetModelExceptionsWithRetry(ActionRequestValidationException.class, null); + } + + private void testGetModelExceptionsWithRetry(Class expectedException, String modelId) { + assertThrows(expectedException, () -> { + for (int retryAttempt = 1; retryAttempt <= MAX_RETRIES; retryAttempt++) { + try { + getModel(modelId); + return; + } catch (OpenSearchTimeoutException e) { + logger.info("GetModelITTests attempt: {}", retryAttempt); + + if (retryAttempt == MAX_RETRIES) { + logger.error("Failed to execute test GetModelITTests after {} retries due to timeout", MAX_RETRIES); + throw e; + } + + // adding small delay between retries + try { + Thread.sleep(1000); + } catch (InterruptedException ie) { + Thread.currentThread().interrupt(); + throw new RuntimeException("Thread was interrupted during retry", ie); + } + } + } + }); } } From 5a987bb9efb95c4dcfd9e775de51515768bfc488 Mon Sep 17 00:00:00 2001 From: Andriy Redko Date: Tue, 10 Dec 2024 17:17:56 -0500 Subject: [PATCH 4/6] Update Gradle to 8.11.1 (#3139) Signed-off-by: Andriy Redko --- .github/workflows/CI-workflow.yml | 1 - gradle/wrapper/gradle-wrapper.jar | Bin 43462 -> 43583 bytes gradle/wrapper/gradle-wrapper.properties | 4 ++-- gradlew | 7 +++++-- gradlew.bat | 2 ++ 5 files changed, 9 insertions(+), 5 deletions(-) diff --git a/.github/workflows/CI-workflow.yml b/.github/workflows/CI-workflow.yml index 7c38b23eab..a316e7a5c1 100644 --- a/.github/workflows/CI-workflow.yml +++ b/.github/workflows/CI-workflow.yml @@ -38,7 +38,6 @@ jobs: # using the same image which is used by opensearch-build team to build the OpenSearch Distribution # this image tag is subject to change as more dependencies and updates will arrive over time image: ${{ needs.Get-CI-Image-Tag.outputs.ci-image-version-linux }} - # need to switch to root so that github actions can install runner binary on container without permission issues. options: ${{ needs.Get-CI-Image-Tag.outputs.ci-image-start-options }} steps: diff --git a/gradle/wrapper/gradle-wrapper.jar b/gradle/wrapper/gradle-wrapper.jar index d64cd4917707c1f8861d8cb53dd15194d4248596..a4b76b9530d66f5e68d973ea569d8e19de379189 100644 GIT binary patch delta 34592 zcmY(qRX`kF)3u#IAjsf0xCD212@LM;?(PINyAue(f;$XO2=4Cg1P$=#e%|lo zKk1`B>Q#GH)wNd-&cJog!qw7YfYndTeo)CyX{fOHsQjGa<{e=jamMNwjdatD={CN3>GNchOE9OGPIqr)3v>RcKWR3Z zF-guIMjE2UF0Wqk1)21791y#}ciBI*bAenY*BMW_)AeSuM5}vz_~`+1i!Lo?XAEq{TlK5-efNFgHr6o zD>^vB&%3ZGEWMS>`?tu!@66|uiDvS5`?bF=gIq3rkK(j<_TybyoaDHg8;Y#`;>tXI z=tXo~e9{U!*hqTe#nZjW4z0mP8A9UUv1}C#R*@yu9G3k;`Me0-BA2&Aw6f`{Ozan2 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zzzBlA<6+TFhl2c=Jl_@yJ}518aXJd2YFCAVu-7TMwT$KZefT7 zs5NxjtWvoM1u)bqHBp$PBs0RBf))u;m?bp>hDT6vTw&Lr!dBTtgj5XtcKJWphk_H; zeH09+T|vQZQ8Efz6lS0!cG`T`QE*MzYzhh@C0zhrg|>NSMAtY9%Huc+TF>Ppkl@@zX1imQDFMlS23i7E;Qs+kyyrF{7O&UZxN+ z-QgiSOj1$l30gw2$s1etFkp1{tI8Eq=&i{Q(-jkZqNBkxHjo*)Mn|Eg=J}ZZ*M!@$ m8X&e#V;O~v<{(@8u;?|riGH1;*CyBcIM_}B>Hc%VBjPV`^lBFX diff --git a/gradle/wrapper/gradle-wrapper.properties b/gradle/wrapper/gradle-wrapper.properties index d296387b57..f19a9a4690 100644 --- a/gradle/wrapper/gradle-wrapper.properties +++ b/gradle/wrapper/gradle-wrapper.properties @@ -1,7 +1,7 @@ distributionBase=GRADLE_USER_HOME distributionPath=wrapper/dists -distributionSha256Sum=a4b4158601f8636cdeeab09bd76afb640030bb5b144aafe261a5e8af027dc612 -distributionUrl=https\://services.gradle.org/distributions/gradle-8.8-bin.zip +distributionSha256Sum=f397b287023acdba1e9f6fc5ea72d22dd63669d59ed4a289a29b1a76eee151c6 +distributionUrl=https\://services.gradle.org/distributions/gradle-8.11.1-bin.zip networkTimeout=10000 zipStoreBase=GRADLE_USER_HOME zipStorePath=wrapper/dists diff --git a/gradlew b/gradlew index 1aa94a4269..f5feea6d6b 100755 --- a/gradlew +++ b/gradlew @@ -15,6 +15,8 @@ # See the License for the specific language governing permissions and # limitations under the License. # +# SPDX-License-Identifier: Apache-2.0 +# ############################################################################## # @@ -55,7 +57,7 @@ # Darwin, MinGW, and NonStop. # # (3) This script is generated from the Groovy template -# https://github.com/gradle/gradle/blob/HEAD/subprojects/plugins/src/main/resources/org/gradle/api/internal/plugins/unixStartScript.txt +# https://github.com/gradle/gradle/blob/HEAD/platforms/jvm/plugins-application/src/main/resources/org/gradle/api/internal/plugins/unixStartScript.txt # within the Gradle project. # # You can find Gradle at https://github.com/gradle/gradle/. @@ -84,7 +86,8 @@ done # shellcheck disable=SC2034 APP_BASE_NAME=${0##*/} # Discard cd standard output in case $CDPATH is set (https://github.com/gradle/gradle/issues/25036) -APP_HOME=$( cd "${APP_HOME:-./}" > /dev/null && pwd -P ) || exit +APP_HOME=$( cd -P "${APP_HOME:-./}" > /dev/null && printf '%s +' "$PWD" ) || exit # Use the maximum available, or set MAX_FD != -1 to use that value. MAX_FD=maximum diff --git a/gradlew.bat b/gradlew.bat index 7101f8e467..9b42019c79 100644 --- a/gradlew.bat +++ b/gradlew.bat @@ -13,6 +13,8 @@ @rem See the License for the specific language governing permissions and @rem limitations under the License. @rem +@rem SPDX-License-Identifier: Apache-2.0 +@rem @if "%DEBUG%"=="" @echo off @rem ########################################################################## From e7e0dffc6406c888b74c7e5d9b8f86c857f45d7e Mon Sep 17 00:00:00 2001 From: Max Lepikhin <46848373+maxlepikhin@users.noreply.github.com> Date: Thu, 12 Dec 2024 10:43:09 -0700 Subject: [PATCH 5/6] Fix: ml/engine/utils/FileUtils casts long file length to int incorrectly (#3198) * Use longs when splitting model zip file Signed-off-by: Max Lepikhin * add test Signed-off-by: Max Lepikhin * spotless Signed-off-by: Max Lepikhin * clean up test Signed-off-by: Max Lepikhin --------- Signed-off-by: Max Lepikhin --- .../opensearch/ml/engine/utils/FileUtils.java | 8 +-- .../ml/engine/utils/FileUtilsTest.java | 63 +++++++++++++++++++ 2 files changed, 67 insertions(+), 4 deletions(-) create mode 100644 ml-algorithms/src/test/java/org/opensearch/ml/engine/utils/FileUtilsTest.java diff --git a/ml-algorithms/src/main/java/org/opensearch/ml/engine/utils/FileUtils.java b/ml-algorithms/src/main/java/org/opensearch/ml/engine/utils/FileUtils.java index 677ca1aa9d..82551042e1 100644 --- a/ml-algorithms/src/main/java/org/opensearch/ml/engine/utils/FileUtils.java +++ b/ml-algorithms/src/main/java/org/opensearch/ml/engine/utils/FileUtils.java @@ -45,16 +45,16 @@ public class FileUtils { * @throws IOException */ public static List splitFileIntoChunks(File file, Path outputPath, int chunkSize) throws IOException { - int fileSize = (int) file.length(); + long fileSize = file.length(); ArrayList nameList = new ArrayList<>(); try (InputStream inStream = new BufferedInputStream(new FileInputStream(file))) { int numberOfChunk = 0; - int totalBytesRead = 0; + long totalBytesRead = 0; while (totalBytesRead < fileSize) { String partName = numberOfChunk + ""; - int bytesRemaining = fileSize - totalBytesRead; + long bytesRemaining = fileSize - totalBytesRead; if (bytesRemaining < chunkSize) { - chunkSize = bytesRemaining; + chunkSize = (int) bytesRemaining; } byte[] temporary = new byte[chunkSize]; int bytesRead = inStream.read(temporary, 0, chunkSize); diff --git a/ml-algorithms/src/test/java/org/opensearch/ml/engine/utils/FileUtilsTest.java b/ml-algorithms/src/test/java/org/opensearch/ml/engine/utils/FileUtilsTest.java new file mode 100644 index 0000000000..390286aadd --- /dev/null +++ b/ml-algorithms/src/test/java/org/opensearch/ml/engine/utils/FileUtilsTest.java @@ -0,0 +1,63 @@ +/* + * Copyright OpenSearch Contributors + * SPDX-License-Identifier: Apache-2.0 + */ + +package org.opensearch.ml.engine.utils; + +import static org.junit.Assert.assertEquals; +import static org.junit.Assert.assertTrue; + +import java.io.File; +import java.nio.file.Files; +import java.nio.file.Path; +import java.util.Arrays; +import java.util.List; +import java.util.Random; + +import org.junit.After; +import org.junit.Assert; +import org.junit.Before; +import org.junit.Test; +import org.junit.rules.TemporaryFolder; + +public class FileUtilsTest { + private TemporaryFolder tempDir; + + @Before + public void setUp() throws Exception { + tempDir = new TemporaryFolder(); + tempDir.create(); + } + + @After + public void tearDown() { + if (tempDir != null) { + tempDir.delete(); + } + } + + @Test + public void testSplitFileIntoChunks() throws Exception { + // Write file. + Random random = new Random(); + File file = tempDir.newFile("large_file"); + byte[] data = new byte[1017]; + random.nextBytes(data); + Files.write(file.toPath(), data); + + // Split file into chunks. + int chunkSize = 325; + List chunkPaths = FileUtils.splitFileIntoChunks(file, tempDir.newFolder().toPath(), chunkSize); + + // Verify. + int currentPosition = 0; + for (String chunkPath : chunkPaths) { + byte[] chunk = Files.readAllBytes(Path.of(chunkPath)); + assertTrue("Chunk size", currentPosition + chunk.length <= data.length); + Assert.assertArrayEquals(Arrays.copyOfRange(data, currentPosition, currentPosition + chunk.length), chunk); + currentPosition += chunk.length; + } + assertEquals(currentPosition, data.length); + } +} From c2a40c195402827fc5f113b865c12701f76fa60a Mon Sep 17 00:00:00 2001 From: Bhavana Ramaram Date: Thu, 12 Dec 2024 13:47:05 -0600 Subject: [PATCH 6/6] fix for sync up job not working in 2.17 when upgraded from previous versions (#3241) * fix for sync up job not working in 2.17 when upgraded from previous versions Signed-off-by: Bhavana Goud Ramaram * add sync-up job in missing places Signed-off-by: Bhavana Goud Ramaram --------- Signed-off-by: Bhavana Goud Ramaram --- .../opensearch/ml/autoredeploy/MLModelAutoReDeployer.java | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/plugin/src/main/java/org/opensearch/ml/autoredeploy/MLModelAutoReDeployer.java b/plugin/src/main/java/org/opensearch/ml/autoredeploy/MLModelAutoReDeployer.java index ac38ce24c6..0b885ac9ab 100644 --- a/plugin/src/main/java/org/opensearch/ml/autoredeploy/MLModelAutoReDeployer.java +++ b/plugin/src/main/java/org/opensearch/ml/autoredeploy/MLModelAutoReDeployer.java @@ -186,6 +186,10 @@ private void triggerAutoDeployModels(List addedNodes) { modelAutoRedeployArrangements.add(modelAutoRedeployArrangement); }); redeployAModel(); + } else { + log.info("Could not find any models in the index, not performing auto reloading!"); + startCronjobAndClearListener(); + return; } }, e -> { if (e instanceof IndexNotFoundException) { @@ -261,6 +265,7 @@ private void queryRunningModels(ActionListener listener) { private void triggerModelRedeploy(ModelAutoRedeployArrangement modelAutoRedeployArrangement) { if (modelAutoRedeployArrangement == null) { log.info("No more models in arrangement, skipping the redeployment"); + startCronjobAndClearListener(); return; } String modelId = modelAutoRedeployArrangement.getSearchResponse().getId(); @@ -275,10 +280,12 @@ private void triggerModelRedeploy(ModelAutoRedeployArrangement modelAutoRedeploy "Model function_name or algorithm is null, model is not in correct status, please check the model, model id is: {}", modelId ); + redeployAModel(); return; } if (FunctionName.REMOTE == FunctionName.from(functionName)) { log.info("Skipping redeploying remote model {} as remote model deployment can be done at prediction time.", modelId); + redeployAModel(); return; } List planningWorkerNodes = (List) sourceAsMap.get(MLModel.PLANNING_WORKER_NODES_FIELD); @@ -302,6 +309,7 @@ private void triggerModelRedeploy(ModelAutoRedeployArrangement modelAutoRedeploy .info( "Allow custom deployment plan is true and deploy to all nodes is false and added nodes are not in planning worker nodes list, not to auto redeploy the model to the new nodes!" ); + redeployAModel(); return; }