60 lines
1.4 KiB
Go
60 lines
1.4 KiB
Go
package knowledge
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import (
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"sort"
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"strings"
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)
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// RankStringsByIntent sorts phrases by semantic proximity to product + research map.
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func RankStringsByIntent(items []string, in PatrolTagInput) []string {
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if len(items) <= 1 {
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return append([]string{}, items...)
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}
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profile := BuildIntentProfile(in)
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type scored struct {
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text string
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score int
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}
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scores := make([]scored, 0, len(items))
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for _, item := range items {
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item = strings.TrimSpace(item)
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if item == "" {
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continue
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}
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scores = append(scores, scored{
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text: item,
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score: ScoreIntentSimilarity(item, profile),
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})
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}
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sort.SliceStable(scores, func(i, j int) bool {
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if scores[i].score == scores[j].score {
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return scores[i].text < scores[j].text
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}
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return scores[i].score > scores[j].score
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})
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out := make([]string, 0, len(scores))
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for _, item := range scores {
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out = append(out, item.text)
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}
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return out
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}
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// FilterPatrolKeywordsByIntent drops low-intent patrol keywords from research map output.
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func FilterPatrolKeywordsByIntent(items []string, in PatrolTagInput, minScore int) []string {
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if minScore <= 0 {
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return RankStringsByIntent(items, in)
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}
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profile := BuildIntentProfile(in)
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out := make([]string, 0, len(items))
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for _, item := range items {
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item = strings.TrimSpace(item)
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if item == "" {
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continue
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}
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if ScoreIntentSimilarity(item, profile) >= minScore {
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out = append(out, item)
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}
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}
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return out
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}
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