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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 fix_image_url_path(base_url: str, image_path):
if image_path.startswith("wanganmaxi"):
from urllib.parse import urlparse
parsed_url = urlparse(base_url)
domain = f"{parsed_url.scheme}://{parsed_url.netloc}"
return urljoin(domain, image_path)
if base_url.endswith(".html"):
base_url = re.sub(r"/[^/]+\.html$", "/", base_url)
return urljoin(base_url, image_path.lstrip("/"))
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,
"headline": 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,
"headline": 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,
"headline": 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, region_text: str):
def five_dx_plus_extractor(html: str, data: dict):
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())
content = ""
paragraphs = container.find_all("p")
if paragraphs:
content = paragraphs[0].get_text(" ", strip=True)
if content and len(content.split()) < 50 and len(paragraphs) > 1:
for paragraph in paragraphs[1:]:
next_p_content = paragraph.get_text(" ", strip=True)
content += " " + next_p_content
if len(content.split()) >= 50:
break
images = []
seen_srcs = []
for img in container.find_all("img"):
src = img.get("src").replace("./","").lstrip("/")
if src in seen_srcs:
continue
seen_srcs.append(src)
img_url = fix_image_url_path(data["url"], 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_extractor(html: str, data: dict):
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())
paragraphs = container.find_all("p")
if paragraphs:
content = paragraphs[0].get_text(" ", strip=True)
if content and len(content.split()) < 50 and len(paragraphs) > 1:
for paragraph in paragraphs[1:]:
next_p_content = paragraph.get_text(" ", strip=True)
content += " " + next_p_content
if len(content.split()) >= 50:
break
images = []
seen_srcs = []
for img in container.select("img"):
src = img.get("src").replace("./","").lstrip("/")
if src in seen_srcs:
continue
seen_srcs.append(src)
img_url = fix_image_url_path(data["url"], 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
})
if data["type"] == "FUTURE LAB":
images = images[1:]
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):
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())
paragraphs = container.find_all("p")
if paragraphs:
content = paragraphs[0].get_text(" ", strip=True)
if content and len(content.split()) < 50 and len(paragraphs) > 1:
for paragraph in paragraphs[1:]:
next_p_content = paragraph.get_text(" ", strip=True)
content += " " + next_p_content
if len(content.split()) >= 50:
break
images = []
seen_srcs = []
for img in container.select("img"):
src = img.get("src").replace("./","").lstrip("/")
if src in seen_srcs:
continue
seen_srcs.append(src)
img_url = fix_image_url_path(data["url"], 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
})
if data["type"] == "FUTURE LAB":
images = images[1:]
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, "NA")
parse_wmmt_asia_oce_news = make_wmmt_news_extractor("WANGAN_MAXI_ASIA_OCE", constants.WANGAN_MAXI_VERSION.SIX_RR, "ASIA/OCE")
parse_wmmt_jp_news = make_wmmt_news_extractor("WANGAN_MAXI_JP", constants.WANGAN_MAXI_VERSION.SIX_RR_PLUS, "JPN")
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