Golang DocumentMatch.Expl方法代碼示例

func (s *ConjunctionQueryScorer) Score(constituents []*search.DocumentMatch) *search.DocumentMatch {
	rv := search.DocumentMatch{
		ID: constituents[0].ID,
	}

	var sum float64
	var childrenExplanations []*search.Explanation
	if s.explain {
		childrenExplanations = make([]*search.Explanation, len(constituents))
	}

	locations := []search.FieldTermLocationMap{}
	for i, docMatch := range constituents {
		sum += docMatch.Score
		if s.explain {
			childrenExplanations[i] = docMatch.Expl
		}
		if docMatch.Locations != nil {
			locations = append(locations, docMatch.Locations)
		}
	}
	rv.Score = sum
	if s.explain {
		rv.Expl = &search.Explanation{Value: sum, Message: "sum of:", Children: childrenExplanations}
	}

	if len(locations) == 1 {
		rv.Locations = locations[0]
	} else if len(locations) > 1 {
		rv.Locations = search.MergeLocations(locations)
	}

	return &rv
}

func (s *DisjunctionQueryScorer) Score(constituents []*search.DocumentMatch, countMatch, countTotal int) *search.DocumentMatch {
	rv := search.DocumentMatch{
		ID: constituents[0].ID,
	}

	var sum float64
	var childrenExplanations []*search.Explanation
	if s.explain {
		childrenExplanations = make([]*search.Explanation, len(constituents))
	}

	locations := []search.FieldTermLocationMap{}
	for i, docMatch := range constituents {
		sum += docMatch.Score
		if s.explain {
			childrenExplanations[i] = docMatch.Expl
		}
		if docMatch.Locations != nil {
			locations = append(locations, docMatch.Locations)
		}
	}

	var rawExpl *search.Explanation
	if s.explain {
		rawExpl = &search.Explanation{Value: sum, Message: "sum of:", Children: childrenExplanations}
	}

	coord := float64(countMatch) / float64(countTotal)
	rv.Score = sum * coord
	if s.explain {
		ce := make([]*search.Explanation, 2)
		ce[0] = rawExpl
		ce[1] = &search.Explanation{Value: coord, Message: fmt.Sprintf("coord(%d/%d)", countMatch, countTotal)}
		rv.Expl = &search.Explanation{Value: rv.Score, Message: "product of:", Children: ce}
	}

	if len(locations) == 1 {
		rv.Locations = locations[0]
	} else if len(locations) > 1 {
		rv.Locations = search.MergeLocations(locations)
	}

	return &rv
}

func (s *ConstantScorer) Score(id string) *search.DocumentMatch {
	var scoreExplanation *search.Explanation

	score := s.constant

	if s.explain {
		scoreExplanation = &search.Explanation{
			Value:   score,
			Message: fmt.Sprintf("ConstantScore()"),
		}
	}

	// if the query weight isn't 1, multiply
	if s.queryWeight != 1.0 {
		score = score * s.queryWeight
		if s.explain {
			childExplanations := make([]*search.Explanation, 2)
			childExplanations[0] = s.queryWeightExplanation
			childExplanations[1] = scoreExplanation
			scoreExplanation = &search.Explanation{
				Value:    score,
				Message:  fmt.Sprintf("weight(^%f), product of:", s.boost),
				Children: childExplanations,
			}
		}
	}

	rv := search.DocumentMatch{
		ID:    id,
		Score: score,
	}
	if s.explain {
		rv.Expl = scoreExplanation
	}

	return &rv
}

func (s *TermQueryScorer) Score(termMatch *index.TermFieldDoc) *search.DocumentMatch {
	var scoreExplanation *search.Explanation

	// need to compute score
	var tf float64
	if termMatch.Freq < MaxSqrtCache {
		tf = SqrtCache[int(termMatch.Freq)]
	} else {
		tf = math.Sqrt(float64(termMatch.Freq))
	}
	score := tf * termMatch.Norm * s.idf

	if s.explain {
		childrenExplanations := make([]*search.Explanation, 3)
		childrenExplanations[0] = &search.Explanation{
			Value:   tf,
			Message: fmt.Sprintf("tf(termFreq(%s:%s)=%d", s.queryField, string(s.queryTerm), termMatch.Freq),
		}
		childrenExplanations[1] = &search.Explanation{
			Value:   termMatch.Norm,
			Message: fmt.Sprintf("fieldNorm(field=%s, doc=%s)", s.queryField, termMatch.ID),
		}
		childrenExplanations[2] = s.idfExplanation
		scoreExplanation = &search.Explanation{
			Value:    score,
			Message:  fmt.Sprintf("fieldWeight(%s:%s in %s), product of:", s.queryField, string(s.queryTerm), termMatch.ID),
			Children: childrenExplanations,
		}
	}

	// if the query weight isn't 1, multiply
	if s.queryWeight != 1.0 {
		score = score * s.queryWeight
		if s.explain {
			childExplanations := make([]*search.Explanation, 2)
			childExplanations[0] = s.queryWeightExplanation
			childExplanations[1] = scoreExplanation
			scoreExplanation = &search.Explanation{
				Value:    score,
				Message:  fmt.Sprintf("weight(%s:%s^%f in %s), product of:", s.queryField, string(s.queryTerm), s.queryBoost, termMatch.ID),
				Children: childExplanations,
			}
		}
	}

	rv := search.DocumentMatch{
		ID:    termMatch.ID,
		Score: score,
	}
	if s.explain {
		rv.Expl = scoreExplanation
	}

	if termMatch.Vectors != nil && len(termMatch.Vectors) > 0 {

		rv.Locations = make(search.FieldTermLocationMap)
		for _, v := range termMatch.Vectors {
			tlm := rv.Locations[v.Field]
			if tlm == nil {
				tlm = make(search.TermLocationMap)
			}

			loc := search.Location{
				Pos:   float64(v.Pos),
				Start: float64(v.Start),
				End:   float64(v.End),
			}

			if len(v.ArrayPositions) > 0 {
				loc.ArrayPositions = make([]float64, len(v.ArrayPositions))
				for i, ap := range v.ArrayPositions {
					loc.ArrayPositions[i] = float64(ap)
				}
			}

			locations := tlm[s.queryTerm]
			if locations == nil {
				locations = make(search.Locations, 1)
				locations[0] = &loc
			} else {
				locations = append(locations, &loc)
			}
			tlm[s.queryTerm] = locations

			rv.Locations[v.Field] = tlm
		}

	}

	return &rv
}