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
| # coding: utf-8
# Importation of the different module
import sqlite3
import os
import json
import time
import requests
# Variable for time the script
debut = time.time()
# Variable for the main boucle
i = 1
i_max = 20
# Variable for the category
count = 0
list_category = []
i_category = 0
name_category = ['Boissons', 'Desserts', 'Sauces', 'Biscuits', 'Yaourts']
# Main Boucle
while i <= i_max:
# API request
fichier = requests.get('https://fr-en.openfoodfacts.org/category/{}/{}.json').format(name_category[i_category], str(i))
# Open the file from API
try:
json_data = open('fichier.json')
data = json.load(json_data)
except UnicodeDecodeError:
try:
json_data.close()
os.remove('fichier.json')
except FileNotFoundError:
pass
except FileNotFoundError:
try:
json_data.close()
os.remove('fichier.json')
except FileNotFoundError:
pass
# Insert the file from API in variable
try:
exterieur = data['products']
# Boucle for each page of the product in the JSON file
k = 0
try:
while k <= 19:
bibliotheque = exterieur[k]
# For each product, enter all this caract in differents variables
product_name = bibliotheque['product_name_fr']
product_generic_name = name_category[i_category]
product_nutriscore = bibliotheque['nutrition_grade_fr']
product_stores = bibliotheque['stores']
product_link = bibliotheque['ingredients_text_fr']
# Catch the fake data of Open Food Facts
if product_stores != '' and product_name != '':
# Modification of wrong caracter for the SQL file
h = 0
while h < len(product_name):
if product_name[h] == "'" or product_name[h] == '"' or product_name[h] == ';':
product_name = product_name[:h] + \
"," + product_name[h + 1:]
h += 1
h = 0
while h < len(product_stores):
if product_stores[h] == "'" or product_stores[h] == '"' or product_stores[h] == ';':
product_stores = product_stores[:h] + \
"," + product_stores[h + 1:]
h += 1
h = 0
while h < len(product_link):
if product_link[h] == "'" or product_link[h] == '"' or product_link[h] == ';':
product_link = product_link[:h] + \
"," + product_link[h + 1:]
h += 1
# Make or Open the SQL file
fichier = open("test.sql", "a")
number = str(i_category + 1)
# Creation of new category in the SQL file
if product_generic_name not in list_category:
fichier.write("INSERT INTO category\nVALUES (" + number + ", '" +
product_generic_name + "');\n\n")
list_category.append(product_generic_name)
j = 0
while j < len(list_category):
if product_generic_name == list_category[j]:
product_number_category = j + 1
j += 1
# Insertion of nutriscore with Int()
product_nutriscore_number = ''
if product_nutriscore == 'a':
product_nutriscore_number = '1'
elif product_nutriscore == 'b':
product_nutriscore_number = '2'
elif product_nutriscore == 'c':
product_nutriscore_number = '3'
elif product_nutriscore == 'd':
product_nutriscore_number = '4'
else:
product_nutriscore_number = '5'
# Census of all item listed in the SQL file
count += 1
# Creation of new product in the SQL file
fichier.write("INSERT INTO product\nVALUES (" + str(count) + ", " +
str(product_number_category) + ", '" +
product_name + "', '" +
product_link + "', '" +
product_stores + "', " +
product_nutriscore_number + ", 'False', NULL);\n\n")
k += 1
except IndexError:
pass
try:
fichier.close()
except NameError:
pass
except KeyError:
pass
except NameError:
pass
json_data.close()
try:
os.remove('fichier.json')
except FileNotFoundError:
pass
# Modification of the boucle for each category
if i == i_max:
i_category += 1
i = 0
# Break the boucle after each category
if i_category >= len(name_category):
break
i += 1
# Information at the end of the script
print("Nombre de référence recencée(s) : " + str(count))
print(time.time() - debut)
connection = sqlite3.connect("OpenFoodFacts.db")
cursor = connection.cursor()
# Open the file for create the table of database
my_file = open("Database_for_script_python_for_db_file.sql", "r")
all_my_file = my_file.read()
count = 0
# Decomposite the file in multi-query sql
for i in enumerate(all_my_file):
if i[1] == ";":
sql_command = all_my_file[count:i[0] + 1]
count = i[0] + 1
print(sql_command)
cursor.execute(sql_command)
my_file.close()
# Open the file create in the begin of the script
my_file = open("test.sql", "r")
all_my_file = my_file.read()
print(type(all_my_file))
count = 0
# Decomposite the file in multi-query sql
for i in enumerate(all_my_file):
if i[1] == ";":
sql_command = all_my_file[count:i[0] + 1]
print(sql_command)
count = i[0] + 1
cursor.execute(sql_command)
# Close properly the different file
my_file.close()
connection.close()
# Delete the useless file
os.remove('test.sql') |
Utilisation de la librairie requests
Répondre avec citation
Envoyé par Ryuk976
Partager