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
|
import re
from datetime import datetime, timedelta, timezone
from enum import Enum
from urllib.parse import urljoin
import sys
import os
import pytz
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../")))
import constants
from bs4 import BeautifulSoup
BASE_URL = "https://wanganmaxi-official.com"
TYPE_MAP = {
"Online Events Information": "EVENTS",
"Update Information": "UPDATE",
"Future Lab News": "FUTURE LAB",
"Special Contents": "SPECIAL",
"Navi Scratch-off Item": "NAVI-SCRATCH",
"News": "NEWS",
"オンラインイベント情報": "EVENTS",
"アップデート情報": "UPDATE",
"未来研通信": "FUTURE LAB",
"スペシャルコンテンツ": "SPECIAL",
"ナビスクラッチ配信アイテム": "NAVI-SCRATCH",
"ニュース": "NEWS"
}
def make_wmmt_parser(version: constants.WANGAN_MAXI_VERSION):
def five_dx_plus_parser(html: str):
soup = BeautifulSoup(html, "html.parser")
results = []
for section in soup.select("div.parts_column_02 > div.parts_bg_01"):
type_heading = section.select_one("section h2.parts_txt_01")
type_name = type_heading.get_text(strip=True) if type_heading else None
count = 0
for a in section.select("ul.archiveNav a[href]"):
if count >= constants.WANGAN_MAXI_POSTS_PER_SECTION:
break
href = a["href"]
title_tag = a.find("h4")
date_tag = a.find("p")
title_parts = []
for child in title_tag.children:
if child.name == "span":
title_parts.append(f"[{child.get_text(strip=True)}]")
elif isinstance(child, str):
title_parts.append(child.strip())
title = " ".join(title_parts).strip()
date = date_tag.get_text(strip=True) if date_tag else "No date"
url = urljoin(BASE_URL, href)
url = url.replace(".php", ".html")
results.append({
"url": url,
"title": title,
"date": date,
"type": TYPE_MAP.get(type_name, "Unknown")
})
count += 1
return results
def six_rr_parser(html: str):
soup = BeautifulSoup(html, "html.parser")
results = []
for section in soup.select("div.parts_column_02 > div.parts_bg_01"):
type_heading = section.select_one("section h2.parts_txt_01")
type_name = type_heading.get_text(strip=True) if type_heading else None
count = 0
for a in section.select("ul.archiveNav a[href]"):
if count >= constants.WANGAN_MAXI_POSTS_PER_SECTION:
break
href = a["href"]
date_tag = a.find("p")
title_tag = a.find("h4")
title = title_tag.get_text(strip=True) if title_tag else "No title"
date = date_tag.get_text(strip=True) if date_tag else "No date"
url = urljoin(BASE_URL, href)
url = url.replace(".php", ".html")
results.append({
"url": url,
"title": title,
"date": date,
"type": TYPE_MAP.get(type_name, "Unknown")
})
count += 1
return results
def six_rr_plus_parser(html: str):
soup = BeautifulSoup(html, "html.parser")
results = []
for section in soup.select("div.parts_column_02 > div.parts_bg_01"):
type_heading = section.select_one("section h2.parts_txt_01")
type_name = type_heading.get_text(strip=True) if type_heading else None
count = 0
for a in section.select("ul.archiveNav a[href]"):
if count >= constants.WANGAN_MAXI_POSTS_PER_SECTION:
break
href = a["href"]
date_tag = a.find("p")
title_tag = a.find("h4")
title = title_tag.get_text(strip=True) if title_tag else "No title"
date = date_tag.get_text(strip=True) if date_tag else "No date"
url = urljoin(BASE_URL, href)
url = url.replace(".php", ".html")
results.append({
"url": url,
"title": title,
"date": date,
"type": TYPE_MAP.get(type_name, "Unknown")
})
count += 1
return results
if version == constants.WANGAN_MAXI_VERSION.FIVE_DX_PLUS:
return five_dx_plus_parser
elif version == constants.WANGAN_MAXI_VERSION.SIX_RR:
return six_rr_parser
elif version == constants.WANGAN_MAXI_VERSION.SIX_RR_PLUS:
return six_rr_plus_parser
def make_wmmt_news_extractor(identifier: str, version: constants.WANGAN_MAXI_VERSION, internal_path: str, region_text: str):
def five_dx_plus_extractor(html: str, data: dict):
image_base = BASE_URL + "/" + internal_path
soup = BeautifulSoup(html, "html.parser")
container = soup.select_one(".parts_inner_01")
if not container:
return None
date_str = data["date"]
timestamp = int(datetime.strptime(date_str, "%Y/%m/%d").replace(tzinfo=timezone.utc).timestamp())
first_p = container.find("p")
content = first_p.get_text(" ", strip=True) if first_p else ""
images = []
for img in container.find_all("img"):
src = img.get("src").replace("./","")
if data["type"] == "EVENTS":
src = "event/online/" + src
elif data["type"] == "SPECIAL":
src = "special/" + src
elif data["type"] == "FUTURE LAB":
src = "miraiken/" + src
elif data["type"] == "UPDATE":
src = "update/" + src
img_url = image_base + "/" + src if src else None
parent = img.find_parent("a")
images.append({
"image": img_url,
"link": urljoin(BASE_URL, parent.get("href")) if parent and parent.get("href") else None
})
data["type"] = "["+region_text+"]" + " " + data["type"]
data["identifier"] = identifier
data["timestamp"] = timestamp
data["content"] = content
data["images"] = images
data["is_ai_summary"] = False
return data
def six_rr_extractor(html: str, data: dict):
image_base = BASE_URL + "/" + internal_path
soup = BeautifulSoup(html, "html.parser")
container = soup.select_one(".parts_column_02")
if not container:
return None
date_str = data["date"]
timestamp = int(datetime.strptime(date_str, "%Y/%m/%d").replace(tzinfo=timezone.utc).timestamp())
first_p = container.find("p")
content = first_p.get_text(" ", strip=True) if first_p else ""
images = []
for img in container.select("img"):
src = img.get("src")
if not src:
continue
src = src.replace("./", "").lstrip("/")
img_url = f"{image_base}/{src}"
parent = img.find_parent("a")
images.append({
"image": img_url,
"link": urljoin(BASE_URL, parent.get("href")) if parent and parent.get("href") else None
})
data["type"] = "["+region_text+"]" + " " + data["type"]
data["identifier"] = identifier
data["timestamp"] = timestamp
data["content"] = content
data["images"] = images
data["is_ai_summary"] = False
return data
def six_rr_plus_extractor(html: str, data: dict):
image_base = BASE_URL + "/" + internal_path
soup = BeautifulSoup(html, "html.parser")
container = soup.select_one(".parts_column_02")
if not container:
return None
date_str = data["date"]
timestamp = int(datetime.strptime(date_str, "%Y/%m/%d").replace(tzinfo=timezone.utc).timestamp())
first_p = container.find("p")
content = first_p.get_text(" ", strip=True) if first_p else ""
images = []
for img in container.select("img"):
src = img.get("src")
if not src:
continue
src = src.replace("./", "").lstrip("/")
img_url = f"{image_base}/{src}"
parent = img.find_parent("a")
images.append({
"image": img_url,
"link": urljoin(BASE_URL, parent.get("href")) if parent and parent.get("href") else None
})
data["type"] = "["+region_text+"]" + " " + data["type"]
data["identifier"] = identifier
data["timestamp"] = timestamp
data["content"] = content
data["images"] = images
data["is_ai_summary"] = False
return data
if version == constants.WANGAN_MAXI_VERSION.FIVE_DX_PLUS:
return five_dx_plus_extractor
elif version == constants.WANGAN_MAXI_VERSION.SIX_RR:
return six_rr_extractor
elif version == constants.WANGAN_MAXI_VERSION.SIX_RR_PLUS:
return six_rr_plus_extractor
get_wmmt_na_news_post_links = make_wmmt_parser(constants.WANGAN_MAXI_VERSION.FIVE_DX_PLUS)
get_wmmt_asia_oce_news_post_links = make_wmmt_parser(constants.WANGAN_MAXI_VERSION.SIX_RR)
get_wmmt_jp_news_post_links = make_wmmt_parser(constants.WANGAN_MAXI_VERSION.SIX_RR_PLUS)
parse_wmmt_na_news = make_wmmt_news_extractor("WANGAN_MAXI_NA", constants.WANGAN_MAXI_VERSION.FIVE_DX_PLUS, "wanganmaxi5dxplus/na", "NA")
parse_wmmt_asia_oce_news = make_wmmt_news_extractor("WANGAN_MAXI_ASIA_OCE", constants.WANGAN_MAXI_VERSION.SIX_RR, "wanganmaxi6rr/en", "ASIA/OCE")
parse_wmmt_jp_news = make_wmmt_news_extractor("WANGAN_MAXI_JP", constants.WANGAN_MAXI_VERSION.SIX_RR_PLUS, "wanganmaxi6rrplus/jp", "JPN")
|
