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
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
| # !/usr/bin/env python
# -*- coding: utf-8 -*-
# --------------------------------------------------------------------------
# Packages à importer
import codecs
import csv
import urllib2
from HTMLParser import HTMLParser
from collections import Counter
import csv
import json
import elasticsearch
import re
import string
data = " "
# --------------------------------------------------------------------------
# Classe qui va analyser le contenu d'une page de IMDB
class IMDBHTMLParser(HTMLParser):
def __init__(self):
HTMLParser.__init__(self)
self.curDepth = 0
self.highestScriptTag = 0 # Niveau le plus élevé d'un script (0 signifie qu'on est pas dans un script)
self.content = ""
def handle_starttag(self, tag, attrs):
self.curDepth += 1
if ((self.highestScriptTag == 0) and (tag == "script")):
self.highestScriptTag = self.curDepth
def handle_endtag(self, tag):
if ((self.highestScriptTag == self.curDepth) and (tag == "script")):
self.highestScriptTag = 0
self.curDepth -= 1
def handle_data(self, data):
if (self.highestScriptTag != 0): # On est dans un script
return
self.content += data.strip() # enlever les espaces avant et après
# --------------------------------------------------------------------------
# Lire le fichiers des liens entre identifiants internes et IMDB
ids = dict()
with open('ml-latest-small/links.csv', 'rb') as csvfile:
csvfile.readline() # Ne pas traiter la première ligne
links = csv.reader(csvfile, delimiter=',')
for row in links:
ids[row[0]] = row[1]
# --------------------------------------------------------------------------
# Prendre le fichier des films et analyser le fichier HTML correspondant
nbTreats = 0
with open('ml-latest-small/movies.csv', 'rb') as csvfile:
csvfile.readline() # Ne pas traiter la première ligne
movies = csv.reader(csvfile, delimiter=',')
for row in movies:
nbTreats = nbTreats + 1
imdbId = ids[row[0]]
imdbURL = 'http://www.imdb.com/title/tt' + imdbId
response = urllib2.urlopen(imdbURL)
html = response.read()
# code fonctionnel pour extraire le nom du film (exemple)
var = "meta property='og:title' content=\""
indice = html.index(var)
texte_provisoire = html[indice:]
indice_fin = texte_provisoire.index("(")
texte1 = texte_provisoire[len(var):indice_fin]
print("Titre du film:")
print(texte1)
# code pour extraire le directeur du film
var = "<meta name=\"description\" content=\"Directed by "
indice = html.index(var)
texte_provisoire = html[indice:]
indice_fin = texte_provisoire.index(".")
texte2 = texte_provisoire[len(var):indice_fin]
print("Réalisateur:")
print(texte2)
# code pour extraire les acteurs
var = "With"
indice = html.index(var)
texte_provisoire = html[indice:]
indice_fin = texte_provisoire.index(".")
texte3 = texte_provisoire[len(var):indice_fin]
texte3 = texte3.replace(',', '')
print("Acteurs:")
print(texte3)
# code pour extraire le budget
var = "<h4 class=\"inline\">Budget:</h4>"
try:
indice = html.index(var)
texte_provisoire = html[indice:]
indice_fin = texte_provisoire.index("<span class=\"attribute\">(estimated)")
texte4 = texte_provisoire[len(var):indice_fin]
texte4 = texte4.replace(',', '')
print("Budget:")
print(texte4)
except:
texte4 = "/"
print("Budget:")
print(texte4)
# code pour extraire la durée du film
var = "<time itemprop=\"duration\" datetime=\"PT"
indice = html.index(var)
texte_provisoire = html[indice:]
indice_fin = texte_provisoire.index("M")
texte5 = texte_provisoire[len(var):indice_fin]
print("Durée en minutes:")
print(texte5)
# code pour extraire le résumé
var = "<div class=\"inline canwrap\" itemprop=\"description\">" + "\n"
indice = html.index(var)
texte_provisoire = html[indice:]
indice_fin = texte_provisoire.index("<em")
texte6 = texte_provisoire[len(var):indice_fin]
print("Résumé:")
print(texte6+"\n")
# enlever les mots vides
stopwords = ['-','<p>','does','especially', 'Movies', 'TV', 'IMDb', 'a', 'about', 'above', 'above', 'across', 'after',
'afterwards', 'again', 'against', 'all', 'almost', 'alone', 'along', 'already', 'also', 'although',
'always', 'am', 'among', 'amongst', 'amoungst', 'amount', 'an', 'and', 'another', 'any', 'anyhow',
'anyone', 'anything', 'anyway', 'anywhere', 'are', 'around', 'as', 'at', 'back', 'be', 'became',
'because', 'become', 'becomes', 'becoming', 'been', 'before', 'beforehand', 'behind', 'bein',
'below', 'beside', 'besides', 'between', 'beyond', 'bill', 'both', 'bottom', 'but', 'by', 'call',
'can', 'cannot', 'cant', 'co', 'con', 'could', 'couldnt', 'cry', 'de', 'describe', 'detail', 'do',
'done', 'down', 'due', 'during', 'each', 'eg', 'eight', 'either', 'eleven', 'else', 'elsewhere',
'empty', 'enough', 'etc', 'even', 'ever', 'every', 'everyone', 'everything', 'everywhere',
'except', 'few', 'fifteen', 'fify', 'fill', 'find', 'fire', 'first', 'five', 'for', 'former',
'formerly', 'forty', 'found', 'four', 'from', 'front', 'full', 'further', 'get', 'give', 'go',
'had', 'has', 'hasnt', 'have', 'he', 'hence', 'her', 'here', 'hereafter', 'hereby', 'herein',
'hereupon', 'hers', 'herself', 'him', 'himself', 'his', 'how', 'however', 'hundred', 'ie', 'if',
'in', 'inc', 'indeed', 'interest', 'into', 'is', 'it', 'its', 'itself', 'keep', 'last', 'latter',
'latterly', 'least', 'less', 'ltd', 'made', 'many', 'may', 'me', 'meanwhile', 'might', 'mill',
'mine', 'more', 'moreover', 'most', 'mostly', 'move', 'much', 'must', 'my', 'myself', 'name',
'namely', 'neither', 'never', 'nevertheless', 'next', 'nine', 'no', 'nobody', 'none', 'noone',
'nor', 'not', 'nothing', 'now', 'nowhere', 'of', 'off', 'often', 'on', 'once', 'one', 'only',
'onto', 'or', 'other', 'others', 'otherwise', 'our', 'ours', 'ourselves', 'out', 'over', 'own',
'part', 'per', 'perhaps', 'please', 'put', 'rather', 're', 'same', 'see', 'seem', 'seemed',
'seeming', 'seems', 'serious', 'several', 'she', 'should', 'show', 'side', 'since', 'sincere',
'six', 'sixty', 'so', 'some', 'somehow', 'someone', 'something', 'sometime', 'sometimes',
'somewhere', 'still', 'such', 'system', 'take', 'ten', 'than', 'that', 'the', 'their', 'them',
'themselves', 'then', 'thence', 'there', 'thereafter', 'thereby', 'therefore', 'therein',
'thereupon', 'these', 'they', 'thickv', 'thin', 'third', 'this', 'those', 'though', 'three',
'through', 'throughout', 'thru', 'thus', 'to', 'together', 'too', 'top', 'toward', 'towards',
'twelve', 'twenty', 'two', 'un', 'under', 'until', 'up', 'upon', 'us', 'very', 'via', 'was', 'we',
'well', 'were', 'what', 'whatever', 'when', 'whence', 'whenever', 'where', 'whereafter', 'whereas',
'whereby', 'wherein', 'whereupon', 'wherever', 'whether', 'which', 'while', 'whither', 'who',
'whoever', 'whole', 'whom', 'whose', 'why', 'will', 'with', 'within', 'without', 'would', 'yet',
'you', 'your', 'yours', 'yourself', 'yourselves', 'the']
texte6_lower= texte6.lower()
ponct = string.punctuation
texte6_lower2= texte6_lower.split(".")
text1=' '.join([word for word in texte6_lower2])
texte6_lower3 = text1.split(",")
text2 = ' '.join([word for word in texte6_lower3])
texte6_lower4 = text2.split(")")
text3 = ' '.join([word for word in texte6_lower4])
texte6_lower5 = text3.split("(")
text4 = ' '.join([word for word in texte6_lower5])
text = ' '.join([word for word in text4.split() if word not in stopwords])
# créer liste pour compter les occurences
def controle(zz):
if zz.count(" ") != 0:
return zz.index(" ")
else:
return len(zz)
maChaine = cdc = text
esp = cdc.count(" ")
deb = 0
fin = controle(cdc)
maListe = []
for i in range(0, esp + 1):
maListe.append(cdc[deb:fin])
cdc = cdc[fin + 1:]
fin = controle(cdc)
for j in range(len(maListe)):
# Ocurences
X = Counter(maListe)
print("Mots avec la plus grande occurence:")
print(X.most_common(15))
# permet de mettre une ligne entre chaque film
print("-------------------------")
# code pour convertir en csv
data = data + texte1 + "," + texte2 + "," + texte3 + "," + texte4 + "," + texte5 + "," + texte6 + "\n"
with open('data.csv', 'wb') as file:
file.write(data)
parser = IMDBHTMLParser()
parser.feed(html)
# code pour convertir en json
csvfile = open('data.csv', 'r')
jsonfile = open('file.json', 'w')
fieldnames = ("Title", "Director", "Actors", "Budget", "Durée", "Storyline")
reader = csv.DictReader(csvfile, fieldnames)
out = json.dumps([row for row in reader])
jsonfile.write(out)
if (nbTreats == 1): # Pour les premiers tests, commençons par récupérer 1 fichier. À enlever ensuite
break |
Problème Génération d'un CSV
Répondre avec citation
Partager