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mirror of https://github.com/fumiama/paper-manager.git synced 2026-06-05 16:00:25 +08:00

add GetDuplicateRate

This commit is contained in:
源文雨
2023-03-31 16:17:31 +08:00
parent 0ad433e9ce
commit 09fb239206

View File

@@ -24,6 +24,8 @@ import (
"github.com/corona10/goimagehash"
base14 "github.com/fumiama/go-base16384"
"github.com/fumiama/go-docx"
"github.com/fumiama/paper-manager/backend/utils"
)
const (
@@ -394,10 +396,38 @@ func (f *FileDatabase) AddFile(tempath string, reg *Regex, istemp bool, progress
return data
}(),
Vector: func() []byte {
plain := base14.BytesToString(sb.Bytes())
words := utils.Segmenter.Cut(base14.BytesToString(sb.Bytes()), true)
if len(words) == 0 {
return nil
}
v := make(map[string]uint8, len(words)*2)
for _, word := range words {
v[word]++
}
data, err := json.Marshal(v)
if err != nil {
return nil
}
return data
}(),
}
var q Question
dupmap := make(map[string]float64, 64)
FileDB.mu.RLock()
err = FileDB.db.FindFor(FileTableQuestion, &q, "", func() error {
r, err := q.GetDuplicateRate(que)
if err != nil {
return err
}
var buf [8]byte
binary.LittleEndian.PutUint64(buf[:], q.ID)
dupmap[hex.EncodeToString(buf[:])] = r
return nil
})
FileDB.mu.RUnlock()
if err == nil {
}
}
}
return file, nil
@@ -415,13 +445,69 @@ type Question struct {
ID uint64 // ID is the first 8 bytes of the Plain's md5
Plain string // Plain is the plain text of the question (like markdown format)
Images []byte // Images is json of the image dhash in XML, ex. ['rId1': '1234567890abcdef', ...]
Vector []byte // Vector is json of {word: rate, ...} freq
Dup []byte // Dup is json of Duplication struct
Vector []byte // Vector is json of {word: freq, ...}
Dup []byte // Dup is json of {queid: rate, ...}
}
// Duplication is the struct representation of Question.Dup
type Duplication struct {
ID string `json:"id"` // ID is hex string for json's 53 bits number
Rate float64 `json:"rate"` // Rate is the avg(non-leaf) or max(leaf) similarity
To []Duplication `json:"to,omitempty"`
// GetDuplicateRate calc q & que's dup rate
func (q *Question) GetDuplicateRate(que *Question) (float64, error) {
v1, v2 := make(map[string]uint8, 64), make(map[string]uint8, 64)
m1, m2 := make(map[string]string, 64), make(map[string]string, 64)
err := json.Unmarshal(q.Images, &m1)
if err != nil {
return 0, err
}
err = json.Unmarshal(que.Images, &m2)
if err != nil {
return 0, err
}
err = json.Unmarshal(q.Vector, &v1)
if err != nil {
return 0, err
}
err = json.Unmarshal(que.Vector, &v2)
if err != nil {
return 0, err
}
imgdsts := uint64(0)
for _, dhstr2 := range m2 {
d, err := hex.DecodeString(dhstr2)
if err != nil {
return 0, err
}
dh2 := goimagehash.NewImageHash(binary.LittleEndian.Uint64(d), goimagehash.DHash)
r := 0
for _, dhstr1 := range m1 {
d, err := hex.DecodeString(dhstr1)
if err != nil {
return 0, err
}
dh1 := goimagehash.NewImageHash(binary.LittleEndian.Uint64(d), goimagehash.DHash)
dst, err := dh2.Distance(dh1)
if err != nil {
return 0, err
}
if dst > r {
r = dst
}
}
imgdsts += uint64(r)
}
imgdupr := float64(imgdsts) / float64(len(m2)) / 64.0
v1space := make([]uint8, 0, len(v1)+len(v2))
v2space := make([]uint8, 0, len(v1)+len(v2))
for k, v := range v1 {
v1space = append(v1space, v)
if tv, ok := v2[k]; ok {
v2space = append(v2space, tv)
delete(v2, k)
} else {
v2space = append(v2space, 0)
}
}
for _, v := range v2 {
v1space = append(v1space, 0)
v2space = append(v2space, v)
}
return utils.Similarity(v1space, v2space) + imgdupr/2.0, nil
}