/* (non-Javadoc)
* @see likemynds.db.indextree.Scorer#score(com.wwm.db.core.whirlwind.internal.IAttribute, likemynds.db.indextree.NodeAttributeContainer)
*/
public void score(Score score, Score.Direction d, IAttribute wantAttr, IConstraintMap c) {
IAttributeConstraint na = c.findAttr(otherAttrId);
if (na == null) {
return;
}
if (na
.isIncludesNotSpecified()) { // na.hasValue() && // FIXME: Double check the logic this is
// sometimes !includesNotSpecified()
score.add(this, 1.0f, d);
return;
}
// if (!na.hasValue()) {
// return;
// }
assert (wantAttr.getAttrId() == scorerAttrId);
// score against bounding box
EcefVector want = (EcefVector) wantAttr;
DimensionsRangeConstraint lbv = (DimensionsRangeConstraint) na;
if (lbv != null) {
// if location is in box, there could be an exact match, so return 1.0f
if (lbv.consistent(want)) {
score.add(this, 1.0f, d);
return;
}
// Else score based on distance from closest point of box, to the centre of this
// RangePreference
float distance = lbv.getDistance(want); // dist from
// Find out how far inside or outside the preferred range location is
// 1 down to 0 is within range, and negative is outside
float scoreFactor = 1f - (distance / range);
// If preferClose is false, score any value within range as 1
if (!preferClose && scoreFactor >= 0f) {
scoreFactor = 1f;
}
float convertedScore = scoreMapper.getScore(scoreFactor);
score.add(this, convertedScore, d);
return;
}
}
public void score(
Score score,
Score.Direction d,
IAttribute wantAttr,
IAttributeMap<? extends IAttribute> c,
IAttributeMap<? extends IAttribute> scoreAttrs) {
assert (wantAttr.getAttrId() == scorerAttrId);
if (wantAttr instanceof EcefVector) {
// We must be scoring a search to an item or an Item to a search
EcefVector want = (EcefVector) wantAttr;
EcefVector location = (EcefVector) c.findAttr(otherAttrId);
if (location != null) {
float distance = location.distance(want); // actual distance in miles
// Find out how far inside or outside the preferred range location is
// 1 down to 0 is within range, and negative is outside
float scoreFactor = 1f - (distance / range);
// If preferClose is false, score any value within range as 1
if (!preferClose && scoreFactor >= 0f) {
scoreFactor = 1f;
}
float convertedScore = scoreMapper.getScore(scoreFactor);
score.add(this, convertedScore, d);
score.setScorerAttribute("Distance", distance);
}
return;
} else {
// scoring from a node to a search
// Node attr is min/max of EcefVectors (x, y, z)
// Attr is single point
// Result is either: point is within possible ranges or not.
// TODO: As 'preferCloser' is a function of the scorer, then can support both options.
// If false, scoreFactor is either 1.0 or 0.0 within the range.
// Outside of the range, something better is possible, based on the
// largest value of 'range' within the node, and the closest point.
// If true, ...
// FIXME: Revise the above when brain is functioning, and then correct what is below.
// Currently it may actually be correct!!
DimensionsRangeConstraint node =
(DimensionsRangeConstraint) wantAttr; // min/man of a 3D (x,y,z) want
EcefVector location = (EcefVector) scoreAttrs.findAttr(otherAttrId);
if (location == null) {
return; // No matching attribute, so no scoring to do
}
float scoreFactor;
Dimensions low = new Dimensions(node.getMin());
Dimensions hi = new Dimensions(node.getMax());
DimensionsRangeConstraint box = new DimensionsRangeConstraint(0, low, hi);
if (box.consistent(location)) {
// location is within range of x,y,z's of want
scoreFactor = 1.0f;
} else {
// see if it is within range of closest point of box
float distance = box.getDistance(location); // dist from
// Find out how far inside or outside the preferred range location is
// 1 down to 0 is within range, and negative is outside
scoreFactor = 1f - (distance / range);
}
// If preferClose is false, score any value within range as 1
if (!preferClose && scoreFactor >= 0f) {
scoreFactor = 1f;
}
float convertedScore = scoreMapper.getScore(scoreFactor);
score.add(this, convertedScore, d);
}
}