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oscarz
2025-03-17 11:30:35 +08:00
parent e6327fbe73
commit d5dc76b87f
178 changed files with 44 additions and 184447 deletions
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iafd/src_json/movie_list_fetch.py Normal file
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"""
Script Name:
Description: 从 https://www.iafd.com 上获取信息。利用cloudscraper绕过cloudflare
detail_fetch.py 从本地已经保存的列表数据,逐个拉取详情,并输出到文件。
list_fetch_astro.py 按照星座拉取数据,获得演员的信息列表。数据量适中,各详细字段较全
list_fetch_birth.py 按照生日拉取数据,获得演员的信息列表。数据量适中,各详细字段较全
list_fetch_ethnic.py 按照人种拉取数据,获得演员的信息列表。数据量大,但详细字段很多无效的
list_merge.py 上面三个列表的数据,取交集,得到整体数据。
iafd_scrape.py 借助 https://github.com/stashapp/CommunityScrapers 实现的脚本,可以输入演员的 iafd链接,获取兼容 stashapp 格式的数据。（作用不大,因为国籍、照片等字段不匹配）
html_format.py 负责读取已经保存的html目录, 提取信息,格式化输出。
data_merge.py 负责合并数据,它把从 iafd, javhd, thelordofporn 以及搭建 stashapp, 从上面更新到的演员数据(需导出)进行合并；
stashdb_merge.py 负责把从stashapp中导出的单个演员的json文件, 批量合并并输出; 通常我们需要把stashapp中导出的批量文件压缩并传输到data/tmp目录,解压后合并
从而获取到一份完整的数据列表。
Author: [Your Name]
Created Date: YYYY-MM-DD
Last Modified: YYYY-MM-DD
Version: 1.0
Modification History:
- YYYY-MM-DD [Your Name]:
- YYYY-MM-DD [Your Name]:
- YYYY-MM-DD [Your Name]:
"""
import cloudscraper
import json
import time
import csv
import argparse
from bs4 import BeautifulSoup
import logging
import config
config.setup_logging()
# 定义基础 URL 和可变参数
host_url = "https://www.iafd.com"
# 结果路径
res_dir = f"{config.global_share_data_dir}/iafd"
fetch_config = {
'dist': {
'base_url': f"{host_url}/distrib.rme/distrib=",
'list_page_url': f"{host_url}/distrib.asp",
'html_table_id': 'distable',
'html_select_name': 'Distrib',
'output_key_id': 'distributors',
'json_file': f'{res_dir}/distributors.json',
'csv_file': f'{res_dir}/distributors.csv',
},
'stu': {
'base_url': f"{host_url}/studio.rme/studio=",
'list_page_url': f"{host_url}/studio.asp",
'html_table_id': 'studio',
'html_select_name': 'Studio',
'output_key_id': 'studios',
'json_file': f'{res_dir}/studios.json',
'csv_file': f'{res_dir}/studios.csv',
}
}
distr_map = {
6812 : 'nubilefilms.com',
8563 : 'teenmegaworld network',
6779 : 'x-art.com',
7133 : 'tushy.com',
6496 : 'blacked.com',
7758 : 'vixen.com',
6791 : 'teamskeet.com',
12454: 'vip4k.com',
13541: 'wow network',
9702 : 'cum4k.com',
6778 : 'tiny4k.com',
12667: 'anal4k.com',
7419 : 'exotic4k.com',
13594: 'facials4k.com',
13633: 'mom4k.com',
12335: 'slim4k.com',
16709: 'strippers4k.com',
}
studio_map = {
6812 : 'nubilefilms.com',
9811 : 'Teen Mega World',
6779 : 'x-art.com',
7133 : 'tushy.com',
6496 : 'blacked.com',
7758 : 'vixen.com',
6791 : 'teamskeet.com',
8052: 'wowgirls.com',
9702 : 'cum4k.com',
6778 : 'tiny4k.com',
12667: 'anal4k.com',
7419 : 'exotic4k.com',
13594: 'facials4k.com',
13633: 'mom4k.com',
12335: 'slim4k.com',
16709: 'strippers4k.com',
}
# 设置 headers 和 scraper
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
}
scraper = cloudscraper.create_scraper()
all_data = []
# 网络请求并解析 HTML
def fetch_page(url):
try:
response = scraper.get(url, headers=headers)
response.raise_for_status()
return response.text
except Exception as e:
logging.error(f"Failed to fetch {url}: {e}")
return None
# 解析 HTML 内容，提取需要的数据
def parse_page(html, name, config):
table_id = config['html_table_id']
key_id = config['output_key_id']
soup = BeautifulSoup(html, "html.parser")
table = soup.find("table", id=table_id)
if not table:
logging.warning(f"Warning: No {table_id} table found in {name}")
return None
# 找到thead并跳过
thead = table.find('thead')
if thead:
thead.decompose() # 去掉thead部分，不需要解析
# 现在只剩下tbody部分
tbody = table.find('tbody')
rows = tbody.find_all('tr') if tbody else []
global all_data
for row in rows:
cols = row.find_all('td')
if len(cols) >= 5:
title = cols[0].text.strip()
label = cols[1].text.strip()
year = cols[2].text.strip()
rev = cols[3].text.strip()
a_href = cols[0].find('a')
href = host_url + a_href['href'] if a_href else ''
all_data.append({
key_id: name,
'title': title,
'label': label,
'year': year,
'rev': rev,
'href': href
})
return soup
# 处理翻页,星座的无需翻页
def handle_pagination(soup, astro):
return None
# 获取列表页
def process_list_gage(config):
list_page_url=config['list_page_url']
select_name = config['html_select_name']
list_map = {}
logging.info(f"Fetching data for {list_page_url} ...")
select_element = None
while True:
html = fetch_page(list_page_url)
if html:
soup = BeautifulSoup(html, "html.parser")
select_element = soup.find('select', {'name': select_name})
if select_element :
break
else:
logging.info(f"wrong html content. retring {list_page_url} ...")
else:
logging.info(f"wrong html content. retring {list_page_url} ...")
if not select_element:
return None
options = select_element.find_all('option')
for option in options:
value = option.get('value') # 获取 value 属性
text = option.text.strip() # 获取文本内容
list_map[int(value)] = text
logging.info(f'fetch {list_page_url} succ. total lines: {len(list_map)}')
return list_map
# 主逻辑函数：循环处理每个种族
def process_main_data(list_data, config):
base_url = config['base_url']
for key, name in list_data.items():
url = base_url + str(key)
next_url = url
logging.info(f"Fetching data for {name}, url {url} ...")
while next_url:
html = fetch_page(next_url)
if html:
soup = parse_page(html, name, config)
if soup:
next_url = handle_pagination(soup, name)
else:
logging.info(f"wrong html content. retring {next_url} ...")
# 定期保存结果
save_data(config)
time.sleep(2) # 控制访问频率
else:
logging.info(f"Retrying {next_url} ...")
time.sleep(5) # 等待后再重试
# 保存到文件
def save_data(config):
with open(config['json_file'], 'w', encoding='utf-8') as json_file:
json.dump(all_data, json_file, indent=4, ensure_ascii=False)
with open(config['csv_file'], 'w', newline='', encoding='utf-8') as csv_file:
writer = csv.DictWriter(csv_file, fieldnames=[config['output_key_id'], 'title', 'label', 'year', 'rev', 'href'])
writer.writeheader()
writer.writerows(all_data)
# 执行主逻辑
if __name__ == '__main__':
# 命令行参数处理
parser = argparse.ArgumentParser(description='fetch movie list from iafd.com')
parser.add_argument('--type', type=str, default='dist', help='fetch by ... (dist , stu)')
parser.add_argument('--kind', type=str, default='parts', help='fetch all or parts (parts , all)')
args = parser.parse_args()
config = fetch_config[args.type]
if not config:
logging.warning(f'unkwon type: {args.type} {args.kind}')
else:
list_data = {}
if args.kind == 'all':
list_data = process_list_gage(config)
elif args.type == 'dist':
list_data = distr_map
else:
list_data = studio_map
process_main_data(list_data, config)
logging.info("Data fetching and saving completed.")