import static org.testng.Assert.assertEquals;
import static org.testng.Assert.assertFalse;
+import static org.testng.Assert.assertNull;
import static org.testng.Assert.assertTrue;
import jalview.api.AlignViewportI;
import jalview.io.DataSourceType;
import jalview.io.FileLoader;
import jalview.schemes.FeatureColour;
+import jalview.util.matcher.Condition;
+import jalview.util.matcher.KeyedMatcher;
+import jalview.util.matcher.KeyedMatcherSet;
+import jalview.util.matcher.KeyedMatcherSetI;
import java.awt.Color;
import java.util.ArrayList;
import java.util.Arrays;
+import java.util.HashMap;
import java.util.List;
import java.util.Map;
features = fr.findFeaturesAtColumn(seq, 5);
assertEquals(features.size(), 1);
assertTrue(features.contains(sf8));
+
+ /*
+ * give "Type3" features a graduated colour scheme
+ * - first with no threshold
+ */
+ FeatureColourI gc = new FeatureColour(Color.yellow, Color.red, null, 0f,
+ 10f);
+ fr.getFeatureColours().put("Type3", gc);
+ features = fr.findFeaturesAtColumn(seq, 8);
+ assertTrue(features.contains(sf4));
+ // now with threshold > 2f - feature score of 1f is excluded
+ gc.setAboveThreshold(true);
+ gc.setThreshold(2f);
+ features = fr.findFeaturesAtColumn(seq, 8);
+ assertFalse(features.contains(sf4));
+
+ /*
+ * make "Type3" graduated colour by attribute "AF"
+ * - first with no attribute held - feature should be excluded
+ */
+ gc.setAttributeName("AF");
+ features = fr.findFeaturesAtColumn(seq, 8);
+ assertFalse(features.contains(sf4));
+ // now with the attribute above threshold - should be included
+ sf4.setValue("AF", "2.4");
+ features = fr.findFeaturesAtColumn(seq, 8);
+ assertTrue(features.contains(sf4));
+ // now with the attribute below threshold - should be excluded
+ sf4.setValue("AF", "1.4");
+ features = fr.findFeaturesAtColumn(seq, 8);
+ assertFalse(features.contains(sf4));
}
@Test(groups = "Functional")
assertFalse(features.contains(sf2) && features.contains(sf3));
assertTrue(features.contains(sf5));
}
+
+ @Test(groups = "Functional")
+ public void testGetColour()
+ {
+ AlignFrame af = new FileLoader().LoadFileWaitTillLoaded(">s1\nABCD\n",
+ DataSourceType.PASTE);
+ AlignViewportI av = af.getViewport();
+ FeatureRenderer fr = new FeatureRenderer(av);
+
+ /*
+ * simple colour, feature type and group displayed
+ */
+ FeatureColourI fc = new FeatureColour(Color.red);
+ fr.getFeatureColours().put("Cath", fc);
+ SequenceFeature sf1 = new SequenceFeature("Cath", "", 6, 8, Float.NaN,
+ "group1");
+ assertEquals(fr.getColour(sf1), Color.red);
+
+ /*
+ * hide feature type, then unhide
+ */
+ Object[][] data = new Object[1][];
+ data[0] = new Object[] { "Cath", fc, false };
+ fr.setFeaturePriority(data);
+ assertNull(fr.getColour(sf1));
+ data[0] = new Object[] { "Cath", fc, true };
+ fr.setFeaturePriority(data);
+ assertEquals(fr.getColour(sf1), Color.red);
+
+ /*
+ * hide feature group, then unhide
+ */
+ fr.setGroupVisibility("group1", false);
+ assertNull(fr.getColour(sf1));
+ fr.setGroupVisibility("group1", true);
+ assertEquals(fr.getColour(sf1), Color.red);
+
+ /*
+ * graduated colour by score, no threshold, no score
+ *
+ */
+ FeatureColourI gc = new FeatureColour(Color.yellow, Color.red,
+ Color.green, 1f, 11f);
+ fr.getFeatureColours().put("Cath", gc);
+ assertEquals(fr.getColour(sf1), Color.green);
+
+ /*
+ * graduated colour by score, no threshold, with score value
+ */
+ SequenceFeature sf2 = new SequenceFeature("Cath", "", 6, 8, 6f,
+ "group1");
+ // score 6 is half way from yellow(255, 255, 0) to red(255, 0, 0)
+ Color expected = new Color(255, 128, 0);
+ assertEquals(fr.getColour(sf2), expected);
+
+ /*
+ * above threshold, score is above threshold - no change
+ */
+ gc.setAboveThreshold(true);
+ gc.setThreshold(5f);
+ assertEquals(fr.getColour(sf2), expected);
+
+ /*
+ * threshold is min-max; now score 6 is 1/6 of the way from 5 to 11
+ * or from yellow(255, 255, 0) to red(255, 0, 0)
+ */
+ gc = new FeatureColour(Color.yellow, Color.red, Color.green, 5f, 11f);
+ fr.getFeatureColours().put("Cath", gc);
+ gc.setAutoScaled(false); // this does little other than save a checkbox setting!
+ assertEquals(fr.getColour(sf2), new Color(255, 213, 0));
+
+ /*
+ * feature score is below threshold - no colour
+ */
+ gc.setAboveThreshold(true);
+ gc.setThreshold(7f);
+ assertNull(fr.getColour(sf2));
+
+ /*
+ * feature score is above threshold - no colour
+ */
+ gc.setBelowThreshold(true);
+ gc.setThreshold(3f);
+ assertNull(fr.getColour(sf2));
+
+ /*
+ * colour by feature attribute value
+ * first with no value held
+ */
+ gc = new FeatureColour(Color.yellow, Color.red, Color.green, 1f, 11f);
+ fr.getFeatureColours().put("Cath", gc);
+ gc.setAttributeName("AF");
+ assertEquals(fr.getColour(sf2), Color.green);
+
+ // with non-numeric attribute value
+ sf2.setValue("AF", "Five");
+ assertEquals(fr.getColour(sf2), Color.green);
+
+ // with numeric attribute value
+ sf2.setValue("AF", "6");
+ assertEquals(fr.getColour(sf2), expected);
+
+ // with numeric value outwith threshold
+ gc.setAboveThreshold(true);
+ gc.setThreshold(10f);
+ assertNull(fr.getColour(sf2));
+
+ // with filter on AF < 4
+ gc.setAboveThreshold(false);
+ assertEquals(fr.getColour(sf2), expected);
+ KeyedMatcherSetI filter = new KeyedMatcherSet();
+ filter.and(new KeyedMatcher(Condition.LT, 4f, "AF"));
+ fr.setFeatureFilter("Cath", filter);
+ assertNull(fr.getColour(sf2));
+
+ // with filter on 'Consequence contains missense'
+ filter = new KeyedMatcherSet();
+ filter.and(new KeyedMatcher(Condition.Contains, "missense",
+ "Consequence"));
+ fr.setFeatureFilter("Cath", filter);
+ // if feature has no Consequence attribute, no colour
+ assertNull(fr.getColour(sf2));
+ // if attribute does not match filter, no colour
+ sf2.setValue("Consequence", "Synonymous");
+ assertNull(fr.getColour(sf2));
+ // attribute matches filter
+ sf2.setValue("Consequence", "Missense variant");
+ assertEquals(fr.getColour(sf2), expected);
+
+ // with filter on CSQ.Feature contains "ENST01234"
+ filter = new KeyedMatcherSet();
+ filter.and(new KeyedMatcher(Condition.Matches, "ENST01234", "CSQ",
+ "Feature"));
+ fr.setFeatureFilter("Cath", filter);
+ // if feature has no CSQ data, no colour
+ assertNull(fr.getColour(sf2));
+ // if CSQ data does not include Feature, no colour
+ Map<String, String> csqData = new HashMap<>();
+ csqData.put("BIOTYPE", "Transcript");
+ sf2.setValue("CSQ", csqData);
+ assertNull(fr.getColour(sf2));
+ // if attribute does not match filter, no colour
+ csqData.put("Feature", "ENST9876");
+ assertNull(fr.getColour(sf2));
+ // attribute matches filter
+ csqData.put("Feature", "ENST01234");
+ assertEquals(fr.getColour(sf2), expected);
+ }
}
git://source.jalview.org / jalview.git / blobdiff