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# | ||
# SPDX-License-Identifier: Apache-2.0 | ||
# | ||
# The OpenSearch Contributors require contributions made to | ||
# this file be licensed under the Apache-2.0 license or a | ||
# compatible open source license. | ||
# | ||
# Modifications Copyright OpenSearch Contributors. See | ||
# GitHub history for details. | ||
# | ||
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# Enable build caching | ||
org.gradle.caching=true | ||
org.gradle.warning.mode=none | ||
org.gradle.parallel=true | ||
# Workaround for https://github.com/diffplug/spotless/issues/834 | ||
org.gradle.jvmargs=-Xmx3g -XX:+HeapDumpOnOutOfMemoryError -Xss2m \ | ||
--add-exports jdk.compiler/com.sun.tools.javac.api=ALL-UNNAMED \ | ||
--add-exports jdk.compiler/com.sun.tools.javac.file=ALL-UNNAMED \ | ||
--add-exports jdk.compiler/com.sun.tools.javac.parser=ALL-UNNAMED \ | ||
--add-exports jdk.compiler/com.sun.tools.javac.tree=ALL-UNNAMED \ | ||
--add-exports jdk.compiler/com.sun.tools.javac.util=ALL-UNNAMED | ||
options.forkOptions.memoryMaximumSize=2g | ||
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# Disable duplicate project id detection | ||
# See https://docs.gradle.org/current/userguide/upgrading_version_6.html#duplicate_project_names_may_cause_publication_to_fail | ||
systemProp.org.gradle.dependency.duplicate.project.detection=false | ||
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# Enforce the build to fail on deprecated gradle api usage | ||
systemProp.org.gradle.warning.mode=fail | ||
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# forcing to use TLS1.2 to avoid failure in vault | ||
# see https://github.com/hashicorp/vault/issues/8750#issuecomment-631236121 | ||
systemProp.jdk.tls.client.protocols=TLSv1.2 | ||
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# jvm args for faster test execution by default | ||
systemProp.tests.jvm.argline=-XX:TieredStopAtLevel=1 -XX:ReservedCodeCacheSize=64m |
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81 changes: 81 additions & 0 deletions
81
src/main/java/org/opensearch/flowframework/workflow/DeployModelStep.java
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/* | ||
* Copyright OpenSearch Contributors | ||
* SPDX-License-Identifier: Apache-2.0 | ||
* | ||
* The OpenSearch Contributors require contributions made to | ||
* this file be licensed under the Apache-2.0 license or a | ||
* compatible open source license. | ||
*/ | ||
package org.opensearch.flowframework.workflow; | ||
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import org.apache.logging.log4j.LogManager; | ||
import org.apache.logging.log4j.Logger; | ||
import org.opensearch.client.Client; | ||
import org.opensearch.core.action.ActionListener; | ||
import org.opensearch.flowframework.client.MLClient; | ||
import org.opensearch.ml.client.MachineLearningNodeClient; | ||
import org.opensearch.ml.common.transport.deploy.MLDeployModelResponse; | ||
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import java.util.List; | ||
import java.util.Map; | ||
import java.util.concurrent.CompletableFuture; | ||
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import static org.opensearch.flowframework.common.CommonValue.MODEL_ID; | ||
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/** | ||
* Step to deploy a model | ||
*/ | ||
public class DeployModelStep implements WorkflowStep { | ||
private static final Logger logger = LogManager.getLogger(DeployModelStep.class); | ||
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private Client client; | ||
static final String NAME = "deploy_model"; | ||
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/** | ||
* Instantiate this class | ||
* @param client client to instantiate MLClient | ||
*/ | ||
public DeployModelStep(Client client) { | ||
this.client = client; | ||
} | ||
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@Override | ||
public CompletableFuture<WorkflowData> execute(List<WorkflowData> data) { | ||
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CompletableFuture<WorkflowData> deployModelFuture = new CompletableFuture<>(); | ||
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MachineLearningNodeClient machineLearningNodeClient = MLClient.createMLClient(client); | ||
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ActionListener<MLDeployModelResponse> actionListener = new ActionListener<>() { | ||
@Override | ||
public void onResponse(MLDeployModelResponse mlDeployModelResponse) { | ||
logger.info("Model deployment state {}", mlDeployModelResponse.getStatus()); | ||
deployModelFuture.complete( | ||
new WorkflowData(Map.ofEntries(Map.entry("deploy_model_status", mlDeployModelResponse.getStatus()))) | ||
); | ||
} | ||
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@Override | ||
public void onFailure(Exception e) { | ||
logger.error("Model deployment failed"); | ||
deployModelFuture.completeExceptionally(e); | ||
} | ||
}; | ||
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String modelId = null; | ||
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for (WorkflowData workflowData : data) { | ||
if (workflowData.getContent().containsKey(MODEL_ID)) { | ||
modelId = (String) workflowData.getContent().get(MODEL_ID); | ||
break; | ||
} | ||
} | ||
machineLearningNodeClient.deploy(modelId, actionListener); | ||
return deployModelFuture; | ||
} | ||
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@Override | ||
public String getName() { | ||
return NAME; | ||
} | ||
} |
65 changes: 65 additions & 0 deletions
65
src/main/java/org/opensearch/flowframework/workflow/GetTask.java
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/* | ||
* Copyright OpenSearch Contributors | ||
* SPDX-License-Identifier: Apache-2.0 | ||
* | ||
* The OpenSearch Contributors require contributions made to | ||
* this file be licensed under the Apache-2.0 license or a | ||
* compatible open source license. | ||
*/ | ||
package org.opensearch.flowframework.workflow; | ||
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import org.apache.logging.log4j.LogManager; | ||
import org.apache.logging.log4j.Logger; | ||
import org.opensearch.common.SuppressForbidden; | ||
import org.opensearch.core.action.ActionListener; | ||
import org.opensearch.ml.client.MachineLearningNodeClient; | ||
import org.opensearch.ml.common.MLTask; | ||
import org.opensearch.ml.common.MLTaskState; | ||
import org.opensearch.ml.common.transport.task.MLTaskGetResponse; | ||
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/** | ||
* Step to get modelID of a registered local model | ||
*/ | ||
@SuppressForbidden(reason = "This class is for the future work of registering local model") | ||
public class GetTask { | ||
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private static final Logger logger = LogManager.getLogger(GetTask.class); | ||
private MachineLearningNodeClient machineLearningNodeClient; | ||
private String taskId; | ||
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/** | ||
* Instantiate this class | ||
* @param machineLearningNodeClient client to instantiate ml-commons APIs | ||
* @param taskId taskID of the model | ||
*/ | ||
public GetTask(MachineLearningNodeClient machineLearningNodeClient, String taskId) { | ||
this.machineLearningNodeClient = machineLearningNodeClient; | ||
this.taskId = taskId; | ||
} | ||
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/** | ||
* Invokes get task API of ml-commons | ||
*/ | ||
public void getTask() { | ||
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ActionListener<MLTask> actionListener = new ActionListener<>() { | ||
@Override | ||
public void onResponse(MLTask mlTask) { | ||
if (mlTask.getState() == MLTaskState.COMPLETED) { | ||
logger.info("Model registration successful"); | ||
MLTaskGetResponse response = MLTaskGetResponse.builder().mlTask(mlTask).build(); | ||
logger.info("Response from task {}", response); | ||
} | ||
} | ||
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@Override | ||
public void onFailure(Exception e) { | ||
logger.error("Model registration failed"); | ||
} | ||
}; | ||
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machineLearningNodeClient.getTask(taskId, actionListener); | ||
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} | ||
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} |
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