congsh
c59dd304f7
端口: - 服务端口 8000 → 7329 - 前端开发端口 5173 → 7330 安全: - CORS 收紧为白名单，关闭 credentials - SPA 路由白名单完善 - 前端 XSS 转义 可靠性: - 时区统一为 datetime.now(timezone.utc) - 文章入库改为内存去重 + 增量计数 - OPML 导入改为 body 参数接收 - OPML 导出 URL XML 转义 - 首次抓取改为 BackgroundTasks 异步 - articles.py HTTPException 移到顶部 import - FTS5 异常显式日志 - FTS5 查询加引号包裹防布尔注入 - 中文摘要支持中文标点 - 去掉未使用的 hashlib import 部署: - Dockerfile 锁 python:3.12.7-slim - requirements 锁定具体版本 - healthcheck 不用 curl（镜像里没有） - docker-compose 使用 .env 文件 - 新增 .env 配置文件
322 lines
11 KiB
Python
322 lines
11 KiB
Python
"""RSS 抓取核心逻辑"""
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import time
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import re
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import html
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from datetime import datetime, timezone
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from urllib.parse import urljoin
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import requests
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import feedparser
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from bs4 import BeautifulSoup
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from sqlalchemy.orm import Session
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from models import Feed, Article, FetchLog
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from database import SessionLocal
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import config
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def fetch_feed(url: str, timeout: int = config.FETCH_TIMEOUT) -> dict:
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"""抓取单个 RSS 源
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返回 {"success": bool, "feed_data": parsed, "error": str, "response_time_ms": int}
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"""
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start_time = time.time()
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try:
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headers = {
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"User-Agent": "rssKeeper/1.0 (+https://github.com/rssKeeper)",
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"Accept": "application/rss+xml, application/atom+xml, application/xml, text/xml, */*",
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}
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response = requests.get(url, headers=headers, timeout=timeout, allow_redirects=True)
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response.raise_for_status()
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# 解析 RSS
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parsed = feedparser.parse(response.content)
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response_time_ms = int((time.time() - start_time) * 1000)
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if parsed.bozo and hasattr(parsed, 'bozo_exception'):
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# 有解析警告但可能仍然可用
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pass
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return {
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"success": True,
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"feed_data": parsed,
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"error": None,
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"response_time_ms": response_time_ms,
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}
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except requests.exceptions.RequestException as e:
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return {"success": False, "feed_data": None, "error": str(e), "response_time_ms": None}
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except Exception as e:
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return {"success": False, "feed_data": None, "error": str(e), "response_time_ms": None}
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def discover_feed_url(url: str, timeout: int = 15) -> list:
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"""从任意网页自动发现 RSS/Atom feed URL
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返回找到的 feed URL 列表
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"""
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try:
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headers = {
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"User-Agent": "rssKeeper/1.0 (+https://github.com/rssKeeper)",
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}
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response = requests.get(url, headers=headers, timeout=timeout, allow_redirects=True)
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response.raise_for_status()
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soup = BeautifulSoup(response.content, "html.parser")
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feed_urls = []
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# 查找 <link rel="alternate"> 标签
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for link in soup.find_all("link", rel="alternate"):
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link_type = link.get("type", "").lower()
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href = link.get("href", "")
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if href and any(t in link_type for t in ["rss", "atom", "xml"]):
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full_url = urljoin(response.url, href)
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feed_urls.append(full_url)
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# 也查找常见的 RSS 链接
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common_patterns = [
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"/rss", "/feed", "/feeds", "/atom.xml", "/rss.xml",
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"/index.xml", "/feed.xml", "/?feed=rss2",
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]
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for pattern in common_patterns:
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candidate = urljoin(response.url, pattern)
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if candidate not in feed_urls:
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# 验证是否是有效的 feed
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try:
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resp = requests.head(candidate, headers=headers, timeout=5, allow_redirects=True)
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content_type = resp.headers.get("Content-Type", "").lower()
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if any(t in content_type for t in ["rss", "atom", "xml"]):
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feed_urls.append(candidate)
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except Exception:
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pass
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return list(dict.fromkeys(feed_urls)) # 去重保持顺序
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except Exception:
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return []
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def parse_article(entry, feed_id: int) -> dict:
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"""从 feedparser entry 解析文章数据"""
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title = entry.get("title", "")
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link = entry.get("link", "")
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author = entry.get("author", "")
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# 发布时间 — 统一存为 UTC aware datetime
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published_at = None
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if hasattr(entry, "published_parsed") and entry.published_parsed:
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try:
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published_at = datetime(*entry.published_parsed[:6], tzinfo=timezone.utc)
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except (ValueError, TypeError):
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pass
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if not published_at and hasattr(entry, "updated_parsed") and entry.updated_parsed:
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try:
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published_at = datetime(*entry.updated_parsed[:6], tzinfo=timezone.utc)
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except (ValueError, TypeError):
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pass
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# 内容：优先 summary，其次 content
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content = ""
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if hasattr(entry, "content") and entry.content:
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content = entry.content[0].value
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elif hasattr(entry, "summary"):
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content = entry.summary
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# 清洗 HTML
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content = clean_html(content)
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# 生成摘要
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summary = generate_summary(content)
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return {
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"feed_id": feed_id,
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"title": title[:1024],
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"link": link[:2048],
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"author": author[:256],
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"published_at": published_at,
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"content": content[:config.MAX_ARTICLE_CONTENT_LENGTH],
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"summary": summary[:config.MAX_SUMMARY_LENGTH],
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}
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def clean_html(html_text: str) -> str:
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"""清洗 HTML，去除 script/style 标签，转为安全文本"""
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if not html_text:
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return ""
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# 先解码 HTML 实体
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text = html.unescape(html_text)
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# 用 BeautifulSoup 清理
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soup = BeautifulSoup(text, "html.parser")
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# 移除 script 和 style
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for tag in soup(["script", "style", "iframe", "object", "embed"]):
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tag.decompose()
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# 获取纯文本
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cleaned = soup.get_text(separator="\n")
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# 压缩空白行
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cleaned = re.sub(r"\n\s*\n+", "\n\n", cleaned)
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cleaned = cleaned.strip()
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return cleaned
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def generate_summary(content: str, max_length: int = 300) -> str:
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"""从内容生成摘要"""
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if not content:
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return ""
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# 去掉多余空白
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text = re.sub(r"\s+", " ", content).strip()
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if len(text) <= max_length:
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return text
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# 在句子边界截断（支持中英文标点）
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truncated = text[:max_length]
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last_period = max(
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truncated.rfind("。"), truncated.rfind(". "),
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truncated.rfind("! "), truncated.rfind("? "),
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truncated.rfind("？"), truncated.rfind("！"),
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truncated.rfind("；"),
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)
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if last_period > max_length * 0.5:
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return truncated[:last_period + 1]
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return truncated + "..."
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def fetch_and_store_feed(feed_id: int) -> dict:
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"""抓取指定 RSS 源并存储文章
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返回抓取结果统计
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"""
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db = SessionLocal()
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try:
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feed = db.query(Feed).filter(Feed.id == feed_id).first()
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if not feed:
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return {"success": False, "error": "Feed not found", "articles_count": 0}
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result = fetch_feed(feed.url)
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if not result["success"]:
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# 记录失败
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feed.last_fetch_at = datetime.now(timezone.utc)
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feed.last_fetch_status = "fail"
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feed.last_error = result["error"]
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feed.fail_count += 1
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log = FetchLog(
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feed_id=feed_id,
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status="fail",
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error_message=result["error"],
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response_time_ms=result.get("response_time_ms"),
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)
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db.add(log)
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db.commit()
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return {"success": False, "error": result["error"], "articles_count": 0}
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parsed = result["feed_data"]
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# 更新 feed 元信息
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if hasattr(parsed.feed, "title"):
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feed.title = parsed.feed.title[:512]
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if hasattr(parsed.feed, "description"):
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feed.description = parsed.feed.description[:1000]
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# 存储文章 — 先收集所有文章，内存去重后批量入库
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seen_links = set()
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articles_to_add = []
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articles_to_update = []
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for entry in parsed.entries:
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article_data = parse_article(entry, feed_id)
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link = article_data.get("link", "")
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if not link or link in seen_links:
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continue
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seen_links.add(link)
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articles_to_add.append(article_data)
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# 批量查询已有文章
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if articles_to_add:
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existing_links = {
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row[0] for row in db.query(Article.link).filter(
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Article.link.in_([a["link"] for a in articles_to_add])
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).all()
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}
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new_count = 0
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for article_data in articles_to_add:
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if article_data["link"] in existing_links:
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articles_to_update.append(article_data)
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else:
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article = Article(**article_data)
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db.add(article)
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new_count += 1
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# 更新已有文章
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for article_data in articles_to_update:
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existing = db.query(Article).filter(Article.link == article_data["link"]).first()
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if existing:
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existing.title = article_data["title"] or existing.title
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existing.content = article_data["content"] or existing.content
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existing.summary = article_data["summary"] or existing.summary
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existing.author = article_data["author"] or existing.author
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if article_data["published_at"]:
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existing.published_at = article_data["published_at"]
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# 更新 feed 统计
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feed.last_fetch_at = datetime.now(timezone.utc)
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feed.last_fetch_status = "success"
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feed.last_error = ""
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feed.success_count += 1
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feed.article_count += new_count
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log = FetchLog(
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feed_id=feed_id,
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status="success",
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articles_fetched=new_count,
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response_time_ms=result.get("response_time_ms"),
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)
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db.add(log)
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db.commit()
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return {
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"success": True,
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"articles_count": new_count,
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"feed_title": feed.title,
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}
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except Exception as e:
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db.rollback()
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return {"success": False, "error": str(e), "articles_count": 0}
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finally:
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db.close()
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def fetch_all_feeds(feed_ids: list = None) -> list:
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"""并发抓取多个 RSS 源
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返回每个源的抓取结果列表
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"""
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db = SessionLocal()
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try:
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query = db.query(Feed).filter(Feed.is_active == True)
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if feed_ids:
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query = query.filter(Feed.id.in_(feed_ids))
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feeds = query.all()
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finally:
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db.close()
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results = []
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with ThreadPoolExecutor(max_workers=config.FETCH_CONCURRENCY) as executor:
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future_to_feed = {
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executor.submit(fetch_and_store_feed, feed.id): feed
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for feed in feeds
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}
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for future in as_completed(future_to_feed):
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feed = future_to_feed[future]
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try:
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result = future.result()
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results.append({"feed_id": feed.id, **result})
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except Exception as e:
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results.append({"feed_id": feed.id, "success": False, "error": str(e), "articles_count": 0})
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return results
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