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
172
173
|
// Copyright 2017 Google Inc.
//
// 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.
// The identify_license program tries to identify the license type of an
// unknown license. The file containing the license text is specified on the
// command line. Multiple license files can be analyzed with a single command.
// The type of the license is returned along with the confidence level of the
// match. The confidence level is between 0.0 and 1.0, with 1.0 indicating an
// exact match and 0.0 indicating a complete mismatch. The results are sorted
// by confidence level.
//
// $ identifylicense LICENSE1 LICENSE2
// LICENSE2: MIT (confidence: 0.987)
// LICENSE1: BSD-2-Clause (confidence: 0.833)
package main
import (
"flag"
"fmt"
"io/ioutil"
"log"
"os"
"path/filepath"
"sort"
"sync"
"time"
"github.com/google/licenseclassifier"
"github.com/google/licenseclassifier/internal/commentparser"
"github.com/google/licenseclassifier/internal/commentparser/language"
)
var (
forbiddenOnly = flag.Bool("forbidden", false, "identify using forbidden licenses archive")
threshold = flag.Float64("threshold", licenseclassifier.DefaultConfidenceThreshold, "confidence threshold")
headers = flag.Bool("headers", false, "match license headers")
)
// licenseType is the assumed type of the unknown license.
type licenseType struct {
filename string
name string
confidence float64
offset int
extent int
}
type licenseTypes []*licenseType
func (lt licenseTypes) Len() int { return len(lt) }
func (lt licenseTypes) Swap(i, j int) { lt[i], lt[j] = lt[j], lt[i] }
func (lt licenseTypes) Less(i, j int) bool {
if lt[i].confidence > lt[j].confidence {
return true
}
if lt[i].confidence < lt[j].confidence {
return false
}
return lt[i].filename < lt[j].filename
}
func init() {
flag.Usage = func() {
fmt.Fprintf(os.Stderr, `Usage: %s <licensefile> ...
Identify an unknown license.
Options:
`, filepath.Base(os.Args[0]))
flag.PrintDefaults()
}
}
func main() {
flag.Parse()
var lc *licenseclassifier.License
var err error
if *forbiddenOnly {
lc, err = licenseclassifier.NewWithForbiddenLicenses(*threshold)
} else {
lc, err = licenseclassifier.New(*threshold)
}
if err != nil {
log.Fatalf("cannot create license classifier: %v", err)
}
var mu sync.Mutex
var matches licenseTypes
// Create a pool from which tasks can later be started. We use a pool because the OS limits
// the number of files that can be open at one time.
const numTasks = 1000
task := make(chan bool, numTasks)
for i := 0; i < numTasks; i++ {
task <- true
}
var wg sync.WaitGroup
classifyLicense := func(filename string) {
defer func() {
wg.Done()
task <- true
}()
contents, err := ioutil.ReadFile(filename)
if err != nil {
log.Fatalf("cannot read %q: %v", filename, err)
return
}
start := time.Now()
if lang := language.ClassifyLanguage(filename); lang == language.Unknown {
log.Printf("Classifying license(s): %s", filename)
for _, m := range lc.MultipleMatch(string(contents), *headers) {
mu.Lock()
matches = append(matches, &licenseType{
filename: filename,
name: m.Name,
confidence: m.Confidence,
offset: m.Offset,
extent: m.Extent,
})
mu.Unlock()
}
} else {
comments := commentparser.Parse(contents, lang)
for ch := range comments.ChunkIterator() {
for _, m := range lc.MultipleMatch(ch.String(), *headers) {
mu.Lock()
matches = append(matches, &licenseType{
filename: filename,
name: m.Name,
confidence: m.Confidence,
offset: m.Offset,
extent: m.Extent,
})
mu.Unlock()
}
}
}
log.Printf("Finished Classifying License %q: %v", filename, time.Since(start))
}
for _, unknown := range flag.Args() {
wg.Add(1)
<-task
go classifyLicense(unknown)
}
wg.Wait()
if len(matches) == 0 {
log.Fatalf("Couldn't classify license(s)")
}
sort.Sort(matches)
for _, r := range matches {
fmt.Printf("%s: %s (confidence: %v, offset: %v, extent: %v)\n",
r.filename, r.name, r.confidence, r.offset, r.extent)
}
}
|
