301 lines
11 KiB
Python
301 lines
11 KiB
Python
from datetime import datetime, timedelta
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from dateutil import parser
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import requests
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import feedparser
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from concurrent.futures import ThreadPoolExecutor, as_completed
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# 标准化的请求头
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headers = {
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36'
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}
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timeout = (10, 15) # 连接超时和读取超时，防止requests接受时间过长
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def format_published_time(time_str):
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"""
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格式化发布时间为统一格式 YYYY-MM-DD HH:MM
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"""
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try:
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# 尝试自动解析
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parsed_time = parser.parse(time_str) + timedelta(hours=8)
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return parsed_time.strftime('%Y-%m-%d %H:%M')
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except (ValueError, parser.ParserError):
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pass
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time_formats = [
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'%a, %d %b %Y %H:%M:%S %z', # Mon, 11 Mar 2024 14:08:32 +0000
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'%a, %d %b %Y %H:%M:%S GMT', # Wed, 19 Jun 2024 09:43:53 GMT
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'%Y-%m-%dT%H:%M:%S%z', # 2024-03-11T14:08:32+00:00
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'%Y-%m-%dT%H:%M:%SZ', # 2024-03-11T14:08:32Z
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'%Y-%m-%d %H:%M:%S', # 2024-03-11 14:08:32
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'%Y-%m-%d' # 2024-03-11
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]
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for fmt in time_formats:
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try:
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parsed_time = datetime.strptime(time_str, fmt) + timedelta(hours=8)
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return parsed_time.strftime('%Y-%m-%d %H:%M')
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except ValueError:
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continue
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# 如果所有格式都无法匹配，返回原字符串或一个默认值
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return ''
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def check_feed(blog_url, session):
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"""
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检查博客的 RSS 或 Atom 订阅链接。
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此函数接受一个博客地址，尝试在其后拼接 '/atom.xml', '/rss2.xml' 和 '/feed'，并检查这些链接是否可访问。
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Atom 优先，如果都不能访问，则返回 ['none', 源地址]。
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参数：
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blog_url (str): 博客的基础 URL。
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session (requests.Session): 用于请求的会话对象。
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返回：
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list: 包含类型和拼接后的链接的列表。如果 atom 链接可访问，则返回 ['atom', atom_url]；
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如果 rss2 链接可访问，则返回 ['rss2', rss_url]；
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如果 feed 链接可访问，则返回 ['feed', feed_url]；
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如果都不可访问，则返回 ['none', blog_url]。
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"""
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atom_url = blog_url.rstrip('/') + '/atom.xml'
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rss_url = blog_url.rstrip('/') + '/rss.xml' # 2024-07-26 添加 /rss.xml内容的支持
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rss2_url = blog_url.rstrip('/') + '/rss2.xml'
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feed_url = blog_url.rstrip('/') + '/feed'
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feed2_url = blog_url.rstrip('/') + '/feed.xml' # 2024-07-26 添加 /feed.xml内容的支持
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feed3_url = blog_url.rstrip('/') + '/feed/' # 2024-07-26 添加 /feed/内容的支持
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index_url = blog_url.rstrip('/') + '/index.xml' # 2024-07-25 添加 /index.xml内容的支持
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try:
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atom_response = session.get(atom_url, headers=headers, timeout=timeout)
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if atom_response.status_code == 200:
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return ['atom', atom_url]
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except requests.RequestException:
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pass
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try:
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rss_response = session.get(rss_url, headers=headers, timeout=timeout)
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if rss_response.status_code == 200:
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return ['rss', rss_url]
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except requests.RequestException:
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pass
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try:
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rss_response = session.get(rss2_url, headers=headers, timeout=timeout)
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if rss_response.status_code == 200:
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return ['rss2', rss2_url]
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except requests.RequestException:
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pass
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try:
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feed_response = session.get(feed_url, headers=headers, timeout=timeout)
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if feed_response.status_code == 200:
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return ['feed', feed_url]
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except requests.RequestException:
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pass
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try:
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feed_response = session.get(feed2_url, headers=headers, timeout=timeout)
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if feed_response.status_code == 200:
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return ['feed2', feed2_url]
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except requests.RequestException:
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pass
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try:
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feed_response = session.get(index_url, headers=headers, timeout=timeout)
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if feed_response.status_code == 200:
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return ['index', index_url]
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except requests.RequestException:
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pass
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try:
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feed_response = session.get(feed3_url, headers=headers, timeout=timeout)
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if feed_response.status_code == 200:
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return ['feed3', feed3_url]
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except requests.RequestException:
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pass
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return ['none', blog_url]
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def parse_feed(url, session, count=5):
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"""
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解析 Atom 或 RSS2 feed 并返回包含网站名称、作者、原链接和每篇文章详细内容的字典。
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此函数接受一个 feed 的地址（atom.xml 或 rss2.xml），解析其中的数据，并返回一个字典结构，
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其中包括网站名称、作者、原链接和每篇文章的详细内容。
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参数：
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url (str): Atom 或 RSS2 feed 的 URL。
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session (requests.Session): 用于请求的会话对象。
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count (int): 获取文章数的最大数。如果小于则全部获取，如果文章数大于则只取前 count 篇文章。
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返回：
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dict: 包含网站名称、作者、原链接和每篇文章详细内容的字典。
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"""
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try:
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response = session.get(url, headers=headers, timeout=timeout)
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response.encoding = 'utf-8'
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feed = feedparser.parse(response.text)
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result = {
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'website_name': feed.feed.title if 'title' in feed.feed else '',
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'author': feed.feed.author if 'author' in feed.feed else '',
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'link': feed.feed.link if 'link' in feed.feed else '',
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'articles': []
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}
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for i, entry in enumerate(feed.entries):
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if i >= count:
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break
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published = format_published_time(entry.published) if 'published' in entry else ''
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article = {
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'title': entry.title if 'title' in entry else '',
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'author': entry.author if 'author' in entry else '',
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'link': entry.link if 'link' in entry else '',
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'published': published,
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'summary': entry.summary if 'summary' in entry else '',
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'content': entry.content[0].value if 'content' in entry and entry.content else entry.description if 'description' in entry else ''
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}
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result['articles'].append(article)
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return result
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except Exception as e:
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print(f"不可链接的FEED地址：{url}: {e}")
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return {
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'website_name': '',
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'author': '',
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'link': '',
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'articles': []
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}
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def process_friend(friend, session, count):
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"""
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处理单个朋友的博客信息。
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参数：
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friend (list): 包含朋友信息的列表 [name, blog_url, avatar]。
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session (requests.Session): 用于请求的会话对象。
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count (int): 获取每个博客的最大文章数。
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返回：
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dict: 包含朋友博客信息的字典。
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"""
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name, blog_url, avatar = friend
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feed_type, feed_url = check_feed(blog_url, session)
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print(f"========“{name}”的博客“{blog_url}”的feed类型为“{feed_type}”========")
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if feed_type != 'none':
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feed_info = parse_feed(feed_url, session, count)
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articles = [
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{
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'title': article['title'],
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'created': article['published'],
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'link': article['link'],
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'author': name,
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'avatar': avatar
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}
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for article in feed_info['articles']
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]
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for article in articles:
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print(f"{name} 发布了新文章：{article['title']}, 时间：{article['created']}")
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return {
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'name': name,
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'status': 'active',
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'articles': articles
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}
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else:
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print(f"{name} 的博客 {blog_url} 无法访问")
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return {
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'name': name,
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'status': 'error',
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'articles': []
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}
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def fetch_and_process_data(json_url, count=5):
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"""
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读取 JSON 数据并处理订阅信息，返回统计数据和文章信息。
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参数：
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json_url (str): 包含朋友信息的 JSON 文件的 URL。
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count (int): 获取每个博客的最大文章数。
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返回：
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dict: 包含统计数据和文章信息的字典。
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"""
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session = requests.Session()
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try:
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response = session.get(json_url, headers=headers, timeout=timeout)
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friends_data = response.json()
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except Exception as e:
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print(f"无法获取该链接：{json_url}, 出现的问题为：{e}")
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return None
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total_friends = len(friends_data['friends'])
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active_friends = 0
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error_friends = 0
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total_articles = 0
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article_data = []
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error_friends_info = []
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with ThreadPoolExecutor(max_workers=10) as executor:
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future_to_friend = {
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executor.submit(process_friend, friend, session, count): friend
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for friend in friends_data['friends']
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}
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for future in as_completed(future_to_friend):
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friend = future_to_friend[future]
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try:
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result = future.result()
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if result['status'] == 'active':
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active_friends += 1
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article_data.extend(result['articles'])
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total_articles += len(result['articles'])
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else:
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error_friends += 1
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error_friends_info.append(friend)
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except Exception as e:
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print(f"处理 {friend} 时发生错误: {e}")
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error_friends += 1
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error_friends_info.append(friend)
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result = {
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'statistical_data': {
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'friends_num': total_friends,
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'active_num': active_friends,
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'error_num': error_friends,
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'article_num': total_articles,
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'last_updated_time': datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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},
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'article_data': article_data
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}
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print("数据处理完成")
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print("总共有 %d 位朋友，其中 %d 位博客可访问，%d 位博客无法访问" % (total_friends, active_friends, error_friends))
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return result, error_friends_info
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def sort_articles_by_time(data):
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"""
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对文章数据按时间排序
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参数：
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data (dict): 包含文章信息的字典
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返回：
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dict: 按时间排序后的文章信息字典
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"""
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if 'article_data' in data:
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sorted_articles = sorted(
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data['article_data'],
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key=lambda x: datetime.strptime(x['created'], '%Y-%m-%d %H:%M'),
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reverse=True
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)
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data['article_data'] = sorted_articles
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return data
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