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1 #!/usr/bin/env python | 1 #!/usr/bin/env python |
2 # Copyright 2016 The Chromium Authors. All rights reserved. | 2 # Copyright 2016 The Chromium Authors. All rights reserved. |
3 # Use of this source code is governed by a BSD-style license that can be | 3 # Use of this source code is governed by a BSD-style license that can be |
4 # found in the LICENSE file. | 4 # found in the LICENSE file. |
5 | 5 |
6 import argparse | 6 import argparse |
7 import csv | 7 import csv |
8 import json | 8 import json |
9 import os | 9 import os |
10 import shutil | 10 import shutil |
11 import sys | 11 import sys |
| 12 import unittest |
| 13 |
| 14 def filter_fields(header, data, fields): |
| 15 """Filter (header, data) with selected header fields. |
| 16 |
| 17 Args: |
| 18 header ([str]): The header. |
| 19 data ([[float]]): The data, with the same number of columns as header. |
| 20 fields ([str]): The fields that need to be written. |
| 21 |
| 22 Returns: |
| 23 (header ([str]), data ([[float]])) |
| 24 |
| 25 Examples: |
| 26 >>> filter_fields(['a','b','c'], [[0,1,2], [3,4,5]], ['d','b','a']) |
| 27 (['b', 'a'], [[1, 0], [4, 3]]) |
| 28 """ |
| 29 |
| 30 picked = [] |
| 31 for f in fields: |
| 32 try: |
| 33 picked.append(header.index(f)) |
| 34 except ValueError: |
| 35 # OK to have missing values |
| 36 pass |
| 37 |
| 38 h = [header[i] for i in picked] |
| 39 d = [] |
| 40 for e in data: |
| 41 d.append([e[i] for i in picked]) |
| 42 return (h, d) |
| 43 |
| 44 def write_features(filename, header, data, fields): |
| 45 """Write (header, data) to filename in CSV format, with selected fields. |
| 46 |
| 47 Args: |
| 48 filename (str): The output filename. |
| 49 header ([str]): The header. |
| 50 data ([[float]]): The data, with the same number of columns as header. |
| 51 fields ([str]): The fields that need to be written. |
| 52 |
| 53 Examples: |
| 54 >>> write_features(None, ['a','b','c'], [[0,1,2], [3,4,5]], ['d','b','a']) |
| 55 b,a |
| 56 1,0 |
| 57 4,3 |
| 58 """ |
| 59 |
| 60 (header, data) = filter_fields(header, data, fields) |
| 61 |
| 62 if filename: |
| 63 writer = csv.writer(open(filename, 'w')) |
| 64 else: |
| 65 writer = csv.writer(sys.stdout, lineterminator="\n") |
| 66 |
| 67 writer.writerow(header) |
| 68 writer.writerows(data) |
| 69 |
| 70 def getGroups(header): |
| 71 """Return groups of header fields |
| 72 |
| 73 Returns: |
| 74 dict of name (str): fields ([str]) |
| 75 """ |
| 76 groups = {} |
| 77 groupPath = [ |
| 78 'forum', |
| 79 'index', |
| 80 'search', |
| 81 'view', |
| 82 'archive', |
| 83 'asp', |
| 84 'phpbb', |
| 85 'php', |
| 86 'pathLength', |
| 87 'domain', |
| 88 'pathComponents', |
| 89 'slugDetector', |
| 90 'pathNumbers', |
| 91 'lastSegmentLength', |
| 92 ] |
| 93 groups['path'] = groupPath |
| 94 |
| 95 groupNumElement = [ |
| 96 'numElements', |
| 97 'numAnchors', |
| 98 'anchorRatio', |
| 99 'numForms', |
| 100 'numTextInput', |
| 101 'numPasswordInput', |
| 102 'numPPRE', |
| 103 ] |
| 104 groups['numElement'] = groupNumElement |
| 105 |
| 106 groupVisibleElement = [ |
| 107 'visibleElements', |
| 108 'visibleAnchors', |
| 109 'visiblePPRE', |
| 110 'visibleAnchorOverPPre', |
| 111 ] |
| 112 groups['visibleElement'] = groupVisibleElement |
| 113 |
| 114 groupEntries = [ |
| 115 'numSection', |
| 116 'numSection2', |
| 117 'numSection3', |
| 118 'numArticle', |
| 119 'numArticle2', |
| 120 'numArticle3', |
| 121 'numEntries', |
| 122 'numEntries2', |
| 123 'numEntries3', |
| 124 'numH1', |
| 125 'numH2', |
| 126 'numH3', |
| 127 'numH4', |
| 128 'headCountSum', |
| 129 'headCountMax', |
| 130 'entryCountSum', |
| 131 'entryCountMax', |
| 132 ] |
| 133 groups['entries'] = groupEntries |
| 134 |
| 135 groupV1 = [ |
| 136 'openGraph', |
| 137 |
| 138 'forum', |
| 139 'index', |
| 140 'search', |
| 141 'view', |
| 142 'archive', |
| 143 'asp', |
| 144 'phpbb', |
| 145 'php', |
| 146 'pathLength', |
| 147 'domain', |
| 148 'pathComponents', |
| 149 'slugDetector', |
| 150 'pathNumbers', |
| 151 'lastSegmentLength', |
| 152 |
| 153 'formCount', |
| 154 'anchorCount', |
| 155 'elementCount', |
| 156 'anchorRatio', |
| 157 |
| 158 'mozScore', |
| 159 'mozScoreAllSqrt', |
| 160 'mozScoreAllLinear', |
| 161 ] |
| 162 groups['v1'] = groupV1 |
| 163 |
| 164 groupV1NoPath = [ |
| 165 'openGraph', |
| 166 |
| 167 'formCount', |
| 168 'anchorCount', |
| 169 'elementCount', |
| 170 'anchorRatio', |
| 171 |
| 172 'mozScore', |
| 173 'mozScoreAllSqrt', |
| 174 'mozScoreAllLinear', |
| 175 ] |
| 176 groups['v1NoPath'] = groupV1NoPath |
| 177 |
| 178 groups['allElement'] = groupNumElement + groupVisibleElement + groupEntries |
| 179 groups['mozScores'] = [f for f in header if 'moz' in f] |
| 180 groups['noText'] = [f for f in header if not ('inner' in f or 'Content' in f o
r 'WordCount' in f)] |
| 181 |
| 182 return groups |
12 | 183 |
13 def main(argv): | 184 def main(argv): |
14 parser = argparse.ArgumentParser() | 185 parser = argparse.ArgumentParser() |
15 parser.add_argument('--out', required=True) | 186 parser.add_argument('--out', required=True, help="filename of output") |
16 parser.add_argument('--marked', required=True) | 187 parser.add_argument('--marked', help="filename of marked output") |
17 parser.add_argument('--features', required=True) | 188 parser.add_argument('--distilled', help="filename of derived features of disti
lled content") |
| 189 parser.add_argument('--features', required=True, help="filename of derived fea
tures") |
18 options = parser.parse_args(argv) | 190 options = parser.parse_args(argv) |
19 | 191 |
20 marked = None | 192 if (options.marked is None) + (options.distilled is None) != 1: |
21 with open(options.marked) as markedin: | 193 print 'Use exactly one of --marked or --distilled.' |
22 marked = json.load(markedin) | 194 os.exit(1) |
23 | 195 |
24 features = None | |
25 with open(options.features) as features: | 196 with open(options.features) as features: |
26 features = json.load(features) | 197 features = json.load(features) |
27 | 198 |
28 markedMap = dict() | 199 if options.marked: |
29 # good: | 200 with open(options.marked) as markedin: |
30 # -1 error | 201 marked = json.load(markedin) |
31 # 0 bad | 202 |
32 # 1 good | 203 markedMap = dict() |
33 # 2 good w/error | 204 # good: |
34 for m in marked: | 205 # -1 error |
35 if not 'good' in m: | 206 # 0 bad |
36 continue | 207 # 1 good |
37 if m['good'] < 0: | 208 # 2 good w/error |
38 continue | 209 for m in marked: |
39 markedMap[m['url']] = m | 210 if not 'good' in m: |
40 | 211 continue |
41 merged = [] | 212 if m['good'] < 0: |
42 for f in features: | 213 continue |
43 url = f['url'] | 214 markedMap[m['url'].strip()] = m |
44 if not url in markedMap: | 215 |
45 continue | 216 print "Loaded %d labeled entries" % (len(markedMap)) |
46 merged.append(map(float, [0 if markedMap[url]['good'] == 0 else 1] + f['feat
ures'][1::2])) | 217 |
47 | 218 merged = [] |
48 header = ['good'] + map(str, features[0]['features'][::2]) | 219 for f in features: |
49 | 220 url = f['url'] |
50 with open(options.out, 'w') as csvfile: | 221 if not url in markedMap: |
51 writer = csv.writer(csvfile) | 222 continue |
52 writer.writerow(header) | 223 merged.append(map(float, [0 if markedMap[url]['good'] == 0 else 1] + f['fe
atures'][1::2])) |
53 for e in merged: | 224 print "Merged %d entries" % (len(merged)) |
54 writer.writerow(e) | 225 |
| 226 if options.distilled: |
| 227 with open(options.distilled) as markedin: |
| 228 marked = json.load(markedin) |
| 229 |
| 230 markedMap = dict() |
| 231 for m in marked: |
| 232 feature = m['features'] |
| 233 feature = dict(zip(feature[::2], feature[1::2])) |
| 234 if feature['innerTextLength'] == 0: |
| 235 continue |
| 236 m['features'] = feature |
| 237 markedMap[m['url'].strip()] = m |
| 238 |
| 239 print "Loaded %d distilled entries" % (len(markedMap)) |
| 240 |
| 241 merged = [] |
| 242 for f in features: |
| 243 url = f['url'] |
| 244 if not url in markedMap: |
| 245 continue |
| 246 if f['native']['features']['isMobileFriendly'] == 1: |
| 247 continue |
| 248 if f['native']['distillable'] != 1: |
| 249 continue |
| 250 feature = markedMap[url]['features'] |
| 251 merged.append(map(float, [0 if feature['innerTextLength'] < 1000 else 1] +
f['features'][1::2])) |
| 252 print "Merged %d entries" % (len(merged)) |
| 253 |
| 254 feature_headers = map(str, features[0]['features'][::2]) |
| 255 header = ['good'] + feature_headers |
| 256 |
| 257 write_features(options.out, header, merged, header) |
| 258 |
| 259 # write datasets with a single feature |
| 260 outbase = os.path.splitext(options.out)[0] |
| 261 for s in feature_headers: |
| 262 print 'Single feature: %s' % s |
| 263 write_features('%s-feature-%s.csv' % (outbase, s), header, merged, ['good',
s]) |
| 264 |
| 265 # write datasets with feature groups |
| 266 for (name, g) in getGroups(feature_headers).iteritems(): |
| 267 print 'Feature group: %s' % name |
| 268 write_features('%s-group-%s.csv' % (outbase, name), header, merged, ['good']
+ g) |
55 | 269 |
56 return 0 | 270 return 0 |
57 | 271 |
58 if __name__ == '__main__': | 272 if __name__ == '__main__': |
59 sys.exit(main(sys.argv[1:])) | 273 sys.exit(main(sys.argv[1:])) |
60 | |
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