package jalview.ws.datamodel.alphafold;
+import java.awt.Color;
+import java.io.BufferedInputStream;
+import java.io.File;
+import java.io.FileInputStream;
+import java.io.IOException;
import java.util.ArrayList;
import java.util.BitSet;
+import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
+import org.json.simple.JSONObject;
+
import jalview.analysis.AverageDistanceEngine;
import jalview.bin.Console;
import jalview.datamodel.BinaryNode;
import jalview.datamodel.ContactListImpl;
import jalview.datamodel.ContactListProviderI;
import jalview.datamodel.ContactMatrixI;
+import jalview.datamodel.SequenceDummy;
import jalview.datamodel.SequenceI;
+import jalview.io.DataSourceType;
+import jalview.io.FileFormatException;
+import jalview.io.FileParse;
import jalview.util.MapUtils;
+import jalview.ws.dbsources.EBIAlfaFold;
public class PAEContactMatrix implements ContactMatrixI
{
}
@SuppressWarnings("unchecked")
- public PAEContactMatrix(SequenceI _refSeq, Map<String, Object> pae_obj)
+ public PAEContactMatrix(SequenceI _refSeq, Map<String, Object> pae_obj) throws FileFormatException
{
setRefSeq(_refSeq);
// convert the lists to primitive arrays and store
@SuppressWarnings("unchecked")
private void parse_version_2_pAE(Map<String, Object> pae_obj)
{
- // this is never going to be reached by the integer rounding.. or is it ?
- maxscore = ((Double) MapUtils.getFirst(pae_obj,
- "max_predicted_aligned_error", "max_pae")).floatValue();
+ maxscore = -1;
+ // look for a maxscore element - if there is one...
+ try
+ {
+ // this is never going to be reached by the integer rounding.. or is it ?
+ maxscore = ((Double) MapUtils.getFirst(pae_obj,
+ "max_predicted_aligned_error", "max_pae")).floatValue();
+ } catch (Throwable t)
+ {
+ // ignore if a key is not found.
+ }
List<List<Long>> scoreRows = ((List<List<Long>>) MapUtils
.getFirst(pae_obj, "predicted_aligned_error", "pae"));
elements = new float[scoreRows.size()][scoreRows.size()];
while (scores.hasNext())
{
Object d = scores.next();
+
if (d instanceof Double)
+ {
elements[row][col++] = ((Double) d).longValue();
+ }
else
+ {
elements[row][col++] = (float) ((Long) d).longValue();
+ }
+
+ if (maxscore < elements[row][col - 1])
+ {
+ maxscore = elements[row][col - 1];
+ }
}
row++;
col = 0;
// dataset refSeq
Iterator<Long> rows = ((List<Long>) pae_obj.get("residue1")).iterator();
Iterator<Long> cols = ((List<Long>) pae_obj.get("residue2")).iterator();
+ // two pass - to allocate the elements array
+ while (rows.hasNext())
+ {
+ int row = rows.next().intValue();
+ int col = cols.next().intValue();
+ if (maxrow < row)
+ {
+ maxrow = row;
+ }
+ if (maxcol < col)
+ {
+ maxcol = col;
+ }
+
+ }
+ rows = ((List<Long>) pae_obj.get("residue1")).iterator();
+ cols = ((List<Long>) pae_obj.get("residue2")).iterator();
Iterator<Double> scores = ((List<Double>) pae_obj.get("distance"))
.iterator();
- // assume square matrix
- elements = new float[length][length];
+ elements = new float[maxrow][maxcol];
while (scores.hasNext())
{
float escore = scores.next().floatValue();
{
return newick;
}
+ @Override
+ public boolean hasTree()
+ {
+ return newick!=null && newick.length()>0;
+ }
boolean abs;
double thresh;
String treeType=null;
groups.add(gpset);
}
}
-
+ @Override
+ public void updateGroups(List<BitSet> colGroups)
+ {
+ if (colGroups!=null)
+ {
+ groups=colGroups;
+ }
+ }
@Override
public BitSet getGroupsFor(int column)
{
return ContactMatrixI.super.getGroupsFor(column);
}
+ HashMap<BitSet,Color> colorMap = new HashMap<>();
+ @Override
+ public Color getColourForGroup(BitSet bs)
+ {
+ if (bs==null) {
+ return Color.white;
+ }
+ Color groupCol=colorMap.get(bs);
+ if (groupCol==null)
+ {
+ return Color.white;
+ }
+ return groupCol;
+ }
+ @Override
+ public void setColorForGroup(BitSet bs,Color color)
+ {
+ colorMap.put(bs,color);
+ }
public void restoreGroups(List<BitSet> newgroups, String treeMethod,
String tree, double thresh2)
{
{
return treeType;
}
+
+ public static void validateContactMatrixFile(String fileName) throws FileFormatException,IOException
+ {
+ FileInputStream infile=null;
+ try {
+ infile = new FileInputStream(new File(fileName));
+ } catch (Throwable t)
+ {
+ new IOException("Couldn't open "+fileName,t);
+ }
+
+
+ JSONObject paeDict=null;
+ try {
+ paeDict = EBIAlfaFold.parseJSONtoPAEContactMatrix(infile);
+ } catch (Throwable t)
+ {
+ new FileFormatException("Couldn't parse "+fileName+" as a JSON dict or array containing a dict");
+ }
+
+ PAEContactMatrix matrix = new PAEContactMatrix(new SequenceDummy("Predicted"), (Map<String,Object>)paeDict);
+ if (matrix.getWidth()<=0)
+ {
+ throw new FileFormatException("No data in PAE matrix read from '"+fileName+"'");
+ }
+ }
}