Illustration of how you can use go-query-index to build a somewhat functional search index for go-query:
package main
import (
"log"
iq "github.com/rekki/go-query"
"github.com/rekki/go-query-index/analyzer"
"github.com/rekki/go-query-index"
)
type ExampleCity struct {
Name string
Country string
}
func (e *ExampleCity) IndexableFields() map[string][]string {
out := map[string][]string{}
out["name"] = []string{e.Name}
out["name_fuzzy"] = []string{e.Name}
out["name_soundex"] = []string{e.Name}
out["country"] = []string{e.Country}
return out
}
func toDocuments(in []*ExampleCity) []index.Document {
out := make([]index.Document, len(in))
for i, d := range in {
out[i] = index.Document(d)
}
return out
}
func main() {
m := index.NewMemOnlyIndex(map[string]*analyzer.Analyzer{
"name": index.AutocompleteAnalyzer,
"name_fuzzy": index.FuzzyAnalyzer,
"name_soundex": index.SoundexAnalyzer,
"country": index.IDAnalyzer,
})
list := []*ExampleCity{
&ExampleCity{Name: "Amsterdam", Country: "NL"},
&ExampleCity{Name: "Amsterdam University", Country: "NL"},
&ExampleCity{Name: "Amsterdam University Second", Country: "NL"},
&ExampleCity{Name: "London", Country: "UK"},
&ExampleCity{Name: "Sofia", Country: "BG"},
}
m.Index(toDocuments(list)...)
// search for "(name:aMS OR name:u) AND (country:NL OR country:BG)"
query := iq.Or(
iq.And(
iq.Or(m.Terms("name", "aMS u")...),
iq.Or(m.Terms("country", "NL")...),
).SetBoost(2),
iq.And(
iq.Or(m.Terms("name_fuzzy", "bondom u")...),
iq.Or(m.Terms("country", "UK")...),
).SetBoost(0.1),
iq.And(
iq.Or(m.Terms("name_soundex", "sfa")...),
iq.Or(m.Terms("country", "BG")...),
).SetBoost(0.01),
)
log.Printf("query: %v", query.String())
m.Foreach(query, func(did int32, score float32, doc index.Document) {
city := doc.(*ExampleCity)
log.Printf("%v matching with score %f", city, score)
})
}will print
2019/12/03 18:40:11 &{Amsterdam NL} matching with score 3.923317
2019/12/03 18:40:11 &{Amsterdam University NL} matching with score 6.428843
2019/12/03 18:40:11 &{Amsterdam University NL Second} matching with score 6.428843
2019/12/03 18:40:11 &{London UK} matching with score 0.537528
2019/12/03 18:40:11 &{Sofia BG} matching with score 0.035835
