// SuggestCommands can be used to match a given word
// which is very similar to one among the list of available commands.
func SuggestCommands(given string, available []string) []string {
commandSet := make(map[string]struct{})
for _, command := range available {
commandSet[command] = struct{}{}
}
if len(commandSet) == 0 || given == "" {
return nil
}
if _, ok := commandSet[given]; ok {
return nil
}
var scores cmdScores
for command := range commandSet {
levenshtein := smetrics.WagnerFischer(command, given, 1, 1, 1)
jaroWinkler := smetrics.JaroWinkler(command, given, 0.7, 4)
if levenshtein > levenThreshold {
continue
}
if jaroWinkler < jaroThreshold {
continue
}
scores = append(
scores,
cmdScore{
name: command,
levenshtein: levenshtein,
jaroWinkler: jaroWinkler,
},
)
}
if len(scores) == 0 {
return nil
}
sort.Sort(scores)
levenshtein := scores[0].levenshtein
var matches []string
for _, score := range scores {
if score.levenshtein != levenshtein {
break
}
matches = append(matches, score.name)
}
return matches
}
// MostSimilarLineTo returns the most similar line in the output to the given
// string, if any of them have a JaroWinkler score >0.1. It returns the string
// (or empty), the index of that line, and a bool indicating if the score was
// greater than 0.1
func (out TestOutput) MostSimilarLineTo(s string) (
winner string, index int, goodMatch bool) {
index = -1
if s == "" {
return
}
max := 0.0
for i, l := range out.Lines() {
score := smetrics.JaroWinkler(l, s, 0.7, 4)
if score > max {
winner = l
index = i
max = score
}
}
return winner, index, max > 0.1
}
