-
Notifications
You must be signed in to change notification settings - Fork 9
/
update_snippets.py
281 lines (225 loc) · 11.8 KB
/
update_snippets.py
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
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
# ！/usr/bin/python3
# -*- coding: utf-8 -*-
# Copyright (c) 2017-2020 Rhilip <[email protected]>
import re
import os
import csv
import time
import json
import random
import requests
from bs4 import BeautifulSoup
headers = {
"Accept-Language": "en,zh-CN;q=0.9,zh;q=0.8",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36"
}
class DBSearch(object):
def __init__(self, filename, rowname):
rank_file = os.path.join('.', 'data', filename)
f_csv = csv.DictReader(open(rank_file, encoding='utf-8'))
self.csv = list(f_csv)
self.old_list = [(row[rowname], row['dbid']) for row in self.csv]
def get_dbid(self, iden_id, **kwargs):
item_dbid_search = list(filter(lambda x: x[0] == iden_id, self.old_list))
if len(item_dbid_search) > 0 and item_dbid_search[0][1] != '': # Use old
return item_dbid_search[0][1]
else:
q = kwargs.get("imdbid") or kwargs.get("title")
return self.get_dbid_from_search(q, kwargs.get("year"))
@staticmethod
def get_dbid_from_search(q, year=None):
time.sleep(random.randint(1, 5))
r = requests.get("https://movie.douban.com/j/subject_suggest",
params={"q": q},
headers=headers)
all_subject = r.json()
if year:
all_subject = list(filter(lambda x: x.get("year") == str(year), all_subject))
if len(all_subject) > 0:
return all_subject[0].get("id")
return ''
def get_list_raw(link, selector) -> list:
top_req = requests.get(link, headers=headers)
top_req.encoding = "utf-8"
top_bs = BeautifulSoup(top_req.text, 'lxml')
return top_bs.select(selector)
def write_data_list(filename, header, data):
rank_file = os.path.join('.', 'data', filename)
with open(rank_file, 'w', encoding='utf-8') as f:
f_csv = csv.DictWriter(f, header, dialect=csv.unix_dialect)
f_csv.writeheader()
f_csv.writerows(data)
def update_douban():
top_list = []
for start_ in range(0, 250, 25):
time.sleep(random.randint(1, 5))
subjects = get_list_raw('https://movie.douban.com/top250?start={}'.format(start_), 'ol.grid_view > li')
for subject in subjects:
try:
all_title = ''.join(map(lambda x: x.get_text(), subject.find_all('span', class_='title')))
all_title = all_title.replace('\xa0', ' ')
if all_title.find('/') > -1:
titles = all_title.split('/')
title = titles[0].strip()
original_title = titles[1].strip()
else:
title = original_title = all_title.strip()
year = re.search(r'\d{4}', str(subject.find('p'))).group()
dbid = re.search(r'https://movie.douban.com/subject/(\d+)', str(subject)).groups()[0]
rating_num = subject.find('span', class_="rating_num").get_text(strip=True)
rating_count = re.search(r'(\d+)人评价', str(subject)).groups()[0]
top_list.append({
'rank': int(subject.find('em').get_text(strip=True)),
'title': title,
'original_title': original_title,
'year': year,
'rating_num': rating_num,
'rating_count': rating_count,
'dbid': dbid
})
except Exception:
pass
# Write Data list
write_data_list("99_douban_top250.csv", ['rank', 'title', 'original_title', 'year', 'rating_num', 'rating_count', 'dbid'], top_list)
def update_imdb_top_250():
# Read our old data file
search = DBSearch("01_IMDbtop250.csv", "imdbid")
# Get new top 250 rank list and update data file
top_list = []
top_list_req = get_list_raw('https://www.imdb.com/chart/top', 'script#__NEXT_DATA__')
top_list_raw = json.loads(top_list_req[0].get_text(strip=True))['props']['pageProps']['pageData']['chartTitles']['edges']
for item in top_list_raw:
item_rank = item['currentRank']
item_title = item['node']['titleText']['text']
item_imdbid = item['node']['id']
item_year = item['node']['releaseYear']['year']
item_dbid = search.get_dbid(item_imdbid, imdbid=item_imdbid)
top_list.append(
{"rank": item_rank, "title": item_title, 'year': item_year, "imdbid": item_imdbid, "dbid": item_dbid})
# Write Data list
write_data_list("01_IMDbtop250.csv", ['rank', 'title', 'year', 'imdbid', 'dbid'], top_list)
def update_afi_top_100():
search = DBSearch("02_AFilist.csv", "afiid")
# Get top 100 afilist and update data file
top_list = []
top_list_raw = get_list_raw("http://www.afi.com/100years/movies10.aspx",
"#subcontent > div.pollListWrapper > div.pollList > div.listItemWrapper")
for item in top_list_raw:
item_text = item.get_text(strip=True)
item_search = re.search('(\d+)\.(.+?)\((\d+)\)', item_text)
item_rank = item_search.group(1)
item_title = item_search.group(2).strip()
item_year = int(item_search.group(3))
if item_title == "SUNRISE" and item_year == 1927:
item_afiid = 12490
else:
item_afiid = re.search("Movie=(\d+)", item.find("a")["href"]).group(1)
item_dbid = search.get_dbid(item_afiid, title=item_title, year=item_year)
new = {"rank": item_rank, "title": item_title, 'year': item_year, "afiid": item_afiid, "dbid": item_dbid}
top_list.append(new)
# Write Data list
write_data_list("02_AFilist.csv", ['rank', 'title', 'year', 'afiid', 'dbid'], top_list)
def update_cclist():
search = DBSearch("03_CClist.csv", "ccid")
top_list = search.csv # Use old list for CC list only append item
last_check_spine = max(map(lambda x: int(x["spine"]), search.csv))
top_list_raw = get_list_raw("https://www.criterion.com/shop/browse/list?sort=spine_number",
"#gridview > tbody > tr")
for item in top_list_raw:
item_spine = item.find("td", class_="g-spine").get_text(strip=True).zfill(4)
if item_spine and int(item_spine) > last_check_spine: # We only record those item which has spine number
item_search = re.search("/(?P<type>films|boxsets)/(?P<num>\d+)", item["data-href"])
item_type = item_search.group("type")
if item_type == "films": # This item is films type
item_num = item_search.group("num")
item_title = item.find("td", class_="g-title").get_text(strip=True)
item_year = item.find("td", class_="g-year").get_text(strip=True)
item_dbid = search.get_dbid(item_num, title=item_title, year=item_year)
new = {"spine": item_spine, "title": item_title, 'year': item_year, "ccid": item_num, "dbid": item_dbid}
top_list.append(new)
print(new)
elif item_type == "boxsets":
boxset_list_raw = get_list_raw(item["data-href"],
"div.left > div > div > section.film-sets-list > div > ul > a")
for item1 in boxset_list_raw:
item1_search = re.search("/(?P<type>films|boxsets)/(?P<num>\d+)", item1["href"])
item1_num = item1_search.group("num")
item1_title = item1.find("p", class_="film-set-title").get_text(strip=True)
item1_year = item1.find("p", class_="film-set-year").get_text(strip=True)
item1_dbid = search.get_dbid(item1_num, title=item1_title, year=item1_year)
new = {"spine": item_spine, "title": item1_title, 'year': item1_year, "ccid": item1_num,
"dbid": item1_dbid}
top_list.append(new)
write_data_list("03_CClist.csv", ['spine', 'title', 'year', 'ccid', 'dbid'], top_list)
def update_ss_(csvfile, reqlink, basedict):
# Read our old data file
search = DBSearch(csvfile, "bfid")
# Get rank list and update data file
top_list = []
top_list_raw = get_list_raw(reqlink,
"#region-content-left-1 > div > div > div > div > div > div:nth-of-type(2) > div:nth-of-type(2) > h3")
for item in top_list_raw:
item_text = item.get_text(" ", strip=True)
print(item_text)
if re.search('Histoire', item_text):
item_search = re.search('(\d+) (.+)', item_text)
item_year = 1989
item_bfid = "Histoire"
else:
item_search = re.search('(\d+) (.+?)\((\d{4})\)', item_text)
item_year = int(item_search.group(3))
item_bfid = re.search("films-tv-people/(.+)$", item.find("a")["href"]).group(1)
item_rank = item_search.group(1)
item_title = item_search.group(2).strip()
item_dbid = search.get_dbid(item_bfid, title=item_title, year=item_year)
top_list.append(
{"rank": item_rank, "title": item_title, 'year': item_year, "bfid": item_bfid, "dbid": item_dbid})
# Write Data list and snippets file
write_data_list(csvfile, ['rank', 'title', 'year', 'bfid', 'dbid'], top_list)
basedict["list"] = {str(i["dbid"]): i['rank'] for i in top_list}
def update_sscritics():
update_ss_("04_SScritics.csv",
"https://www.bfi.org.uk/films-tv-people/sightandsoundpoll2012/critics", {
"title": "《视与听》影史最佳影片-影评人Top100",
"short_title": "视与听影评人百佳",
"href": "https://www.bfi.org.uk/films-tv-people/sightandsoundpoll2012/critics",
"top": 4,
})
def update_ssdirectors():
update_ss_("05_SSdirectors.csv",
"https://www.bfi.org.uk/films-tv-people/sightandsoundpoll2012/directors", {
"title": "《视与听》影史最佳影片-导演Top100",
"short_title": "视与听导演百佳",
"href": "https://www.bfi.org.uk/films-tv-people/sightandsoundpoll2012/directors",
"top": 5,
})
def update_bgm_top_250():
search = DBSearch("06_Bangumitop250.csv", "bgmid")
top_list = []
for p in range(1, 12): # From page 1 - 11
top_list_raw = get_list_raw('https://bgm.tv/anime/browser?sort=rank&page={}'.format(p),
'ul#browserItemList > li')
for item in top_list_raw:
item_rank = re.search("\d+", item.find("span", class_="rank").get_text(strip=True)).group(0)
if int(item_rank) > 250:
break
item_name_cn = item.find("a", class_="l").get_text(strip=True)
item_name = item.find("small", class_="grey").get_text(strip=True) if item.find("small", class_="grey") else ""
item_info = item.find("p", class_="info tip").get_text(strip=True)
item_date_match = re.search("(\d{4})[年-](\d{1,2}[月-])?(\d{1,2}日?)?", item_info)
item_date = item_date_match.group(0) if item_date_match else time.strftime("%Y")
item_bgmid = re.search("\d+", item["id"]).group(0)
item_dbid = search.get_dbid(item_bgmid, title=item_name_cn, year=re.search("(\d{4})", item_date).group(1))
data = {"rank": item_rank, "name_cn": item_name_cn, 'name': item_name, 'date': item_date,
"bgmid": item_bgmid, "dbid": item_dbid}
top_list.append(data)
write_data_list("06_Bangumitop250.csv", ["rank", "name_cn", "name", "date", "bgmid", "dbid"], top_list)
if __name__ == '__main__':
update_douban()
update_imdb_top_250()
update_bgm_top_250()
update_cclist()
# No need to update this rank list for may not update
# update_afi_top_100()
# update_sscritics()
# update_ssdirectors()