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- // Copyright 2023 The casbin Authors. All Rights Reserved.
- //
- // Licensed under the Apache License, Version 2.0 (the "License");
- // you may not use this file except in compliance with the License.
- // You may obtain a copy of the License at
- //
- // http://www.apache.org/licenses/LICENSE-2.0
- //
- // Unless required by applicable law or agreed to in writing, software
- // distributed under the License is distributed on an "AS IS" BASIS,
- // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- // See the License for the specific language governing permissions and
- // limitations under the License.
-
- package object
-
- import (
- "fmt"
- "strconv"
- "strings"
-
- "github.com/casbin/casibase/util"
- "github.com/muesli/clusters"
- "github.com/muesli/kmeans"
- )
-
- func fa2Str(floatArray []float64) string {
- sData := []string{}
- for _, f := range floatArray {
- sData = append(sData, fmt.Sprintf("%f", f))
- }
- return strings.Join(sData, "|")
- }
-
- func runKmeans(factors []*Factor, clusterNumber int) {
- factorMap := map[string]*Factor{}
-
- var d clusters.Observations
- for _, factor := range factors {
- if len(factor.Data) == 0 {
- continue
- }
-
- dataKey := factor.GetDataKey()
- factorMap[dataKey] = factor
-
- d = append(d, clusters.Coordinates(factor.Data))
- }
-
- km := kmeans.New()
- cs, err := km.Partition(d, clusterNumber)
- if err != nil {
- panic(err)
- }
-
- for i, c := range cs {
- fmt.Printf("Centered at x: %.2f y: %.2f\n", c.Center[0], c.Center[1])
- fmt.Printf("Matching data points: %+v\n\n", c.Observations)
-
- color := util.GetRandomColor()
- for _, observation := range c.Observations {
- floatArray := observation.Coordinates()
- dataKey := fa2Str(floatArray)
-
- factor, ok := factorMap[dataKey]
- if !ok {
- panic(fmt.Errorf("factorMap factor not found, dataKey = %s", dataKey))
- }
- factor.Category = strconv.Itoa(i)
- factor.Color = color
- }
- }
- }
-
- func updateWordsetFactorCategories(owner string, wordsetName string) {
- wordset, _ := getWordset(owner, wordsetName)
-
- runKmeans(wordset.Factors, 100)
-
- UpdateWordset(wordset.GetId(), wordset)
- }
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