/
classifier.go
171 lines (152 loc) · 4.61 KB
/
classifier.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
package align
import (
"encoding/json"
"fmt"
"log"
"net/http"
"sort"
"strings"
//"github.com/juliangruber/go-intersect"
"github.com/labstack/echo/v4"
"github.com/nsip/curriculum-align/bayesian"
set "gopkg.in/fatih/set.v0"
)
var granularity = "Indicator"
type ClassifierType struct {
Classifier *bayesian.Classifier
Classes []bayesian.Class
}
var classifiers map[string]ClassifierType
var curriculum Curriculum
// create a classifier specific to components of the curriculum
func train_curriculum(curriculum map[string]*CurricContent) (ClassifierType, error) {
classes := make([]bayesian.Class, 0)
class_set := set.New(set.ThreadSafe)
for key, _ := range curriculum {
classes = append(classes, bayesian.Class(key))
class_set.Add(key)
}
if len(classes) < 2 {
return ClassifierType{}, fmt.Errorf("Not enough matching curriculum statements for classification")
}
// log.Printf("Training on: %+v\n", classes)
classifier := bayesian.NewClassifierTfIdf(classes...)
for key, record := range curriculum {
if !class_set.Has(key) {
continue
}
train := strings.Join(record.Text, " ")
classifier.Learn(Tokenise(key, train, record.Text), bayesian.Class(key))
}
classifier.ConvertTermsFreqToTfIdf()
ret := ClassifierType{Classifier: classifier, Classes: classes}
return ret, nil
}
type AlignmentType struct {
Item string
Text string
DevLevel string
Path []*Keyval
Score float64
Matches []bayesian.MatchStruct
}
//
// query params for classifier alignment
// supports query-string, form and json payload inputs
//
// Area: LP Capabilty, currently Literacy or Numeracy
// Text: the input to send to the classifier, such as observation or question text
//
type AlignmentQuery struct {
Area string `json:"area" form:"area" query:"area"`
Text string `json:"text" form:"text" query:"text"`
}
func keyval2path(path []*Keyval) string {
b, _ := json.Marshal(path)
return string(b)
}
func classify_text(classif ClassifierType, curriculum_map map[string]*CurricContent, input string) []AlignmentType {
scores1, matches, _, _ := classif.Classifier.LogScores(Tokenise("", input, nil))
maxResults := 5 // limit results set
if len(scores1) < maxResults {
maxResults = len(scores1)
}
response := make([]AlignmentType, 0)
for i := 0; i < maxResults; i++ {
response = append(response, AlignmentType{
Item: string(classif.Classes[i]),
Text: strings.Join(curriculum_map[string(classif.Classes[i])].Text, " "),
DevLevel: curriculum_map[string(classif.Classes[i])].DevLevel,
Path: curriculum_map[string(classif.Classes[i])].Path,
Score: scores1[i],
Matches: matches[i]})
}
sort.Slice(response, func(i, j int) bool { return response[i].Score > response[j].Score })
return response
}
func Init() {
var err error
if err = InitTokeniser(); err != nil {
log.Fatalln(err)
}
classifiers = make(map[string]ClassifierType)
curriculum, err = read_curriculum("./curricula")
if err != nil {
log.Fatalln(err)
}
for k, _ := range curriculum {
cl, err := train_curriculum(curriculum[k][granularity])
if err != nil {
log.Fatalln(err)
} else {
classifiers[k] = cl
}
}
}
func Align(c echo.Context) error {
// //
// // TODO: disable for production/release
// // show the full inboud request
// //
// requestDump, err := httputil.DumpRequest(c.Request(), true)
// if err != nil {
// fmt.Println("req-dump error: ", err)
// }
// fmt.Println(string(requestDump))
var learning_area, text string
// check required params are in input
aq := &AlignmentQuery{}
if err := c.Bind(aq); err != nil {
fmt.Println("align query binding failed")
return echo.NewHTTPError(http.StatusBadRequest, err)
}
if aq.Area == "" || aq.Text == "" {
return echo.NewHTTPError(http.StatusBadRequest, "must supply values for area and text")
}
learning_area = strings.Title(aq.Area) // in case query param in all upper/lower
text = aq.Text
if learning_area != "Literacy" && learning_area != "Numeracy" {
err := fmt.Errorf("area parameter must be Literacy or Numeracy")
c.String(http.StatusBadRequest, err.Error())
return err
}
response := classify_text(classifiers[learning_area], curriculum[learning_area][granularity], text)
return c.JSON(http.StatusOK, response)
}
func Keys(m map[string]*CurricContent) (keys []string) {
for k := range m {
keys = append(keys, k)
}
return keys
}
func Lookup(query string) (interface{}, error) {
for k, _ := range curriculum {
for level, _ := range curriculum[k] {
//log.Printf("%s\t%s\t%+v\n", k, level, curriculum[k][level])
if ret, ok := curriculum[k][level][query]; ok {
return ret.Path, nil
}
}
}
return nil, fmt.Errorf("No such string found")
}