1 files changed, 123 insertions, 0 deletions
diff --git a/container-search/src/test/java/com/yahoo/search/ranking/GlobalPhaseSetupTest.java b/container-search/src/test/java/com/yahoo/search/ranking/GlobalPhaseSetupTest.java
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+++ b/container-search/src/test/java/com/yahoo/search/ranking/GlobalPhaseSetupTest.java
@@ -0,0 +1,123 @@
+// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
+package com.yahoo.search.ranking;
+
+import com.yahoo.config.subscription.ConfigGetter;
+import com.yahoo.filedistribution.fileacquirer.MockFileAcquirer;
+import com.yahoo.tensor.Tensor;
+import com.yahoo.vespa.config.search.RankProfilesConfig;
+import com.yahoo.vespa.config.search.core.OnnxModelsConfig;
+import com.yahoo.vespa.config.search.core.RankingConstantsConfig;
+import com.yahoo.vespa.config.search.core.RankingExpressionsConfig;
+
+import org.junit.jupiter.api.Test;
+
+import static org.junit.jupiter.api.Assertions.*;
+
+public class GlobalPhaseSetupTest {
+    private static final String CONFIG_DIR = "src/test/resources/config/";
+
+    @SuppressWarnings("deprecation")
+    RankProfilesConfig readConfig(String subDir) {
+        String cfgId = "file:" + CONFIG_DIR + subDir + "/rank-profiles.cfg";
+        return ConfigGetter.getConfig(RankProfilesConfig.class, cfgId);
+    }
+
+    @Test void mediumAdvancedSetup() {
+        RankProfilesConfig rpCfg = readConfig("medium");
+        assertEquals(1, rpCfg.rankprofile().size());
+        RankProfilesEvaluator rpEvaluator = createEvaluator(rpCfg);
+        var setup = GlobalPhaseSetup.maybeMakeSetup(rpCfg.rankprofile().get(0), rpEvaluator);
+        assertNotNull(setup);
+        assertEquals(42, setup.rerankCount);
+        assertEquals(0, setup.normalizers.size());
+        assertEquals(9, setup.matchFeaturesToHide.size());
+        assertEquals(1, setup.globalPhaseEvalSpec.fromQuery().size());
+        assertEquals(9, setup.globalPhaseEvalSpec.fromMF().size());
+    }
+
+    @Test void queryFeaturesWithDefaults() {
+        RankProfilesConfig rpCfg = readConfig("qf_defaults");
+        assertEquals(1, rpCfg.rankprofile().size());
+        RankProfilesEvaluator rpEvaluator = createEvaluator(rpCfg);
+        var setup = GlobalPhaseSetup.maybeMakeSetup(rpCfg.rankprofile().get(0), rpEvaluator);
+        assertNotNull(setup);
+        assertEquals(0, setup.normalizers.size());
+        assertEquals(0, setup.matchFeaturesToHide.size());
+        assertEquals(5, setup.globalPhaseEvalSpec.fromQuery().size());
+        assertEquals(2, setup.globalPhaseEvalSpec.fromMF().size());
+        assertEquals(5, setup.defaultValues.size());
+        assertEquals(Tensor.from(0.0), setup.defaultValues.get("query(w_no_def)"));
+        assertEquals(Tensor.from(1.0), setup.defaultValues.get("query(w_has_def)"));
+        assertEquals(Tensor.from("tensor(m{}):{}"), setup.defaultValues.get("query(m_no_def)"));
+        assertEquals(Tensor.from("tensor(v[3]):[0,0,0]"), setup.defaultValues.get("query(v_no_def)"));
+        assertEquals(Tensor.from("tensor(v[3]):[2,0.25,1.5]"), setup.defaultValues.get("query(v_has_def)"));
+    }
+
+    @Test void withNormalizers() {
+        RankProfilesConfig rpCfg = readConfig("with_normalizers");
+        assertEquals(1, rpCfg.rankprofile().size());
+        RankProfilesEvaluator rpEvaluator = createEvaluator(rpCfg);
+        var setup = GlobalPhaseSetup.maybeMakeSetup(rpCfg.rankprofile().get(0), rpEvaluator);
+        assertNotNull(setup);
+        var nList = setup.normalizers;
+        assertEquals(7, nList.size());
+        nList.sort((a,b) -> a.name().compareTo(b.name()));
+
+        var n = nList.get(0);
+        assertEquals("normalize@2974853441@linear", n.name());
+        assertEquals(0, n.inputEvalSpec().fromQuery().size());
+        assertEquals(1, n.inputEvalSpec().fromMF().size());
+        assertEquals("funmf", n.inputEvalSpec().fromMF().get(0));
+        assertEquals("linear", n.supplier().get().normalizing());
+
+        n = nList.get(1);
+        assertEquals("normalize@3414032797@rrank", n.name());
+        assertEquals(0, n.inputEvalSpec().fromQuery().size());
+        assertEquals(1, n.inputEvalSpec().fromMF().size());
+        assertEquals("attribute(year)", n.inputEvalSpec().fromMF().get(0));
+        assertEquals("reciprocal-rank{k:60.0}", n.supplier().get().normalizing());
+
+        n = nList.get(2);
+        assertEquals("normalize@3551296680@linear", n.name());
+        assertEquals(0, n.inputEvalSpec().fromQuery().size());
+        assertEquals(1, n.inputEvalSpec().fromMF().size());
+        assertEquals("nativeRank", n.inputEvalSpec().fromMF().get(0));
+        assertEquals("linear", n.supplier().get().normalizing());
+
+        n = nList.get(3);
+        assertEquals("normalize@4280591309@rrank", n.name());
+        assertEquals(0, n.inputEvalSpec().fromQuery().size());
+        assertEquals(1, n.inputEvalSpec().fromMF().size());
+        assertEquals("bm25(myabstract)", n.inputEvalSpec().fromMF().get(0));
+        assertEquals("reciprocal-rank{k:42.0}", n.supplier().get().normalizing());
+
+        n = nList.get(4);
+        assertEquals("normalize@4370385022@linear", n.name());
+        assertEquals(1, n.inputEvalSpec().fromQuery().size());
+        assertEquals("myweight", n.inputEvalSpec().fromQuery().get(0));
+        assertEquals(1, n.inputEvalSpec().fromMF().size());
+        assertEquals("attribute(foo1)", n.inputEvalSpec().fromMF().get(0));
+        assertEquals("linear", n.supplier().get().normalizing());
+
+        n = nList.get(5);
+        assertEquals("normalize@4640646880@linear", n.name());
+        assertEquals(0, n.inputEvalSpec().fromQuery().size());
+        assertEquals(1, n.inputEvalSpec().fromMF().size());
+        assertEquals("attribute(foo1)", n.inputEvalSpec().fromMF().get(0));
+        assertEquals("linear", n.supplier().get().normalizing());
+
+        n = nList.get(6);
+        assertEquals("normalize@6283155534@linear", n.name());
+        assertEquals(0, n.inputEvalSpec().fromQuery().size());
+        assertEquals(1, n.inputEvalSpec().fromMF().size());
+        assertEquals("bm25(mytitle)", n.inputEvalSpec().fromMF().get(0));
+        assertEquals("linear", n.supplier().get().normalizing());
+    }
+
+    private RankProfilesEvaluator createEvaluator(RankProfilesConfig config) {
+        RankingConstantsConfig constantsConfig = new RankingConstantsConfig.Builder().build();
+        RankingExpressionsConfig expressionsConfig = new RankingExpressionsConfig.Builder().build();
+        OnnxModelsConfig onnxModelsConfig = new OnnxModelsConfig.Builder().build();
+        return new RankProfilesEvaluator(config, constantsConfig, expressionsConfig, onnxModelsConfig, MockFileAcquirer.returnFile(null));
+    }
+}