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Consider feature filter in model validation (#1258)
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Signed-off-by: Kaituo Li <kaituo@amazon.com>
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kaituo committed Jul 8, 2024
1 parent c059eff commit 63dacaa
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Showing 32 changed files with 2,479 additions and 568 deletions.
27 changes: 10 additions & 17 deletions .github/workflows/test_build_multi_platform.yml
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Expand Up @@ -52,19 +52,14 @@ jobs:
- name: Multi Nodes Integration Testing
run: |
./gradlew integTest -PnumNodes=3
- name: Upload Coverage Report
uses: codecov/codecov-action@v3
with:
file: ./build/reports/jacoco/test/jacocoTestReport.xml
flags: plugin
Build-ad-linux:
needs: [Get-CI-Image-Tag, spotless]
strategy:
matrix:
java: [21]
fail-fast: false
name: Build and Test Anomaly detection Plugin
name: Build and Test Anomaly detection Plugin on Linux
runs-on: ubuntu-latest
container:
# using the same image which is used by opensearch-build team to build the OpenSearch Distribution
Expand Down Expand Up @@ -93,11 +88,6 @@ jobs:
./gradlew build -x spotlessJava &&
./gradlew publishToMavenLocal &&
./gradlew integTest -PnumNodes=3"
- name: Upload Coverage Report
uses: codecov/codecov-action@v3
with:
file: ./build/reports/jacoco/test/jacocoTestReport.xml
flags: plugin
Build-ad-macos:
needs: spotless
Expand All @@ -106,7 +96,7 @@ jobs:
java: [21]
fail-fast: false

name: Build and Test Anomaly detection Plugin
name: Build and Test Anomaly detection Plugin on MacOS
runs-on: macos-13
env:
JENKINS_URL: build.ci.opensearch.org
Expand All @@ -127,14 +117,17 @@ jobs:
- name: Build and Run Tests
run: |
./gradlew build -x spotlessJava
# coverage.gradle is only applied in single local node test
- name: Upload Coverage Report
uses: codecov/codecov-action@v4
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
with:
file: ./build/reports/jacoco/test/jacocoTestReport.xml
flags: plugin
- name: Publish to Maven Local
run: |
./gradlew publishToMavenLocal
- name: Multi Nodes Integration Testing
run: |
./gradlew integTest -PnumNodes=3
- name: Upload Coverage Report
uses: codecov/codecov-action@v3
with:
file: ./build/reports/jacoco/test/jacocoTestReport.xml
flags: plugin
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Expand Up @@ -25,7 +25,6 @@ public class ADCommonMessages {
public static String DETECTOR_IS_RUNNING = "Detector is already running";
public static String DETECTOR_MISSING = "Detector is missing";
public static String AD_TASK_ACTION_MISSING = "AD task action is missing";
public static final String INDEX_NOT_FOUND = "index does not exist";
public static final String UNSUPPORTED_PROFILE_TYPE = "Unsupported profile types";

public static final String REQUEST_THROTTLED_MSG = "Request throttled. Please try again later.";
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Expand Up @@ -17,6 +17,7 @@
import org.opensearch.core.xcontent.NamedXContentRegistry;
import org.opensearch.timeseries.AnalysisType;
import org.opensearch.timeseries.feature.SearchFeatureDao;
import org.opensearch.timeseries.model.ValidationIssueType;
import org.opensearch.timeseries.rest.handler.ModelValidationActionHandler;
import org.opensearch.timeseries.transport.ValidateConfigResponse;
import org.opensearch.timeseries.util.SecurityClientUtil;
Expand Down Expand Up @@ -50,7 +51,8 @@ public ADModelValidationActionHandler(
clock,
settings,
user,
AnalysisType.AD
AnalysisType.AD,
ValidationIssueType.DETECTION_INTERVAL
);
}

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Expand Up @@ -28,6 +28,7 @@
import org.opensearch.rest.RestRequest;
import org.opensearch.timeseries.feature.SearchFeatureDao;
import org.opensearch.timeseries.model.Config;
import org.opensearch.timeseries.model.ValidationAspect;
import org.opensearch.timeseries.rest.handler.Processor;
import org.opensearch.timeseries.transport.BaseValidateConfigTransportAction;
import org.opensearch.timeseries.transport.ValidateConfigRequest;
Expand Down Expand Up @@ -61,7 +62,8 @@ public ValidateAnomalyDetectorTransportAction(
actionFilters,
transportService,
searchFeatureDao,
AD_FILTER_BY_BACKEND_ROLES
AD_FILTER_BY_BACKEND_ROLES,
ValidationAspect.DETECTOR
);
}

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Expand Up @@ -17,6 +17,7 @@
import org.opensearch.forecast.model.Forecaster;
import org.opensearch.timeseries.AnalysisType;
import org.opensearch.timeseries.feature.SearchFeatureDao;
import org.opensearch.timeseries.model.ValidationIssueType;
import org.opensearch.timeseries.rest.handler.ModelValidationActionHandler;
import org.opensearch.timeseries.transport.ValidateConfigResponse;
import org.opensearch.timeseries.util.SecurityClientUtil;
Expand Down Expand Up @@ -50,7 +51,8 @@ public ForecastModelValidationActionHandler(
clock,
settings,
user,
AnalysisType.FORECAST
AnalysisType.FORECAST,
ValidationIssueType.FORECAST_INTERVAL
);
}

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Expand Up @@ -22,6 +22,7 @@
import org.opensearch.rest.RestRequest;
import org.opensearch.timeseries.feature.SearchFeatureDao;
import org.opensearch.timeseries.model.Config;
import org.opensearch.timeseries.model.ValidationAspect;
import org.opensearch.timeseries.rest.handler.Processor;
import org.opensearch.timeseries.transport.BaseValidateConfigTransportAction;
import org.opensearch.timeseries.transport.ValidateConfigRequest;
Expand Down Expand Up @@ -55,7 +56,8 @@ public ValidateForecasterTransportAction(
actionFilters,
transportService,
searchFeatureDao,
FORECAST_FILTER_BY_BACKEND_ROLES
FORECAST_FILTER_BY_BACKEND_ROLES,
ValidationAspect.FORECASTER
);
}

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Expand Up @@ -54,9 +54,9 @@ public static String getTooManyCategoricalFieldErr(int limit) {
public static String TIME_FIELD_NOT_ENOUGH_HISTORICAL_DATA =
"There isn't enough historical data found with current timefield selected.";
public static String CATEGORY_FIELD_TOO_SPARSE =
"Data is most likely too sparse with the given category fields. Consider revising category field/s or ingesting more data ";
"Data is most likely too sparse with the given category fields. Consider revising category field/s or ingesting more data.";
public static String WINDOW_DELAY_REC =
"Latest seen data point is at least %d minutes ago, consider changing window delay to at least %d minutes.";
"Latest seen data point is at least %d minutes ago. Consider changing window delay to at least %d minutes.";
public static String INTERVAL_REC = "The selected interval might collect sparse data. Consider changing interval length to: ";
public static String RAW_DATA_TOO_SPARSE =
"Source index data is potentially too sparse for model training. Consider changing interval length or ingesting more data";
Expand All @@ -65,13 +65,14 @@ public static String getTooManyCategoricalFieldErr(int limit) {
public static String CATEGORY_FIELD_NO_DATA =
"No entity was found with the given categorical fields. Consider revising category field/s or ingesting more data";
public static String FEATURE_QUERY_TOO_SPARSE =
"Data is most likely too sparse when given feature queries are applied. Consider revising feature queries.";
"Data is most likely too sparse when given feature queries are applied. Consider revising feature queries";
public static String TIMEOUT_ON_INTERVAL_REC = "Timed out getting interval recommendation";
public static final String NOT_EXISTENT_VALIDATION_TYPE = "The given validation type doesn't exist";
public static final String NOT_EXISTENT_SUGGEST_TYPE = "The given suggest type doesn't exist";
public static final String DESCRIPTION_LENGTH_TOO_LONG = "Description length is too long. Max length is "
+ TimeSeriesSettings.MAX_DESCRIPTION_LENGTH
+ " characters.";
public static final String INDEX_NOT_FOUND = "index does not exist";

// ======================================
// Index message
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