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用户发来 https://mp.weixin.qq.com/s/ZEOsi4R4JcmZ_mhS6qpcww，存进库的正文只有 67 个字符 （"原文链接 + 一个句号"）。复盘发现公众号换了渲染方式：新版页面把整篇塞进 window.cgiDataNew 这个 JS 对象由前端渲染，页面里根本没有 id="js_content"； 三种 UA 拿到的字节数完全一样，也不是 UA 的问题。 - 从 JS 字符串字面量里读正文（content_noencode / desc），按 \xNN、\uNNNN 反转义， 话题标签是双重转义过的 HTML，先 unescape 再走 DOM。 - 配图字段排在文字之后，所以前后各找 2500 字符合图；剩下没用过的 mmbiz 图按 12 张上限补在末尾（图文型文章靠就近配对会漏）。 - 解析顺序：旧 DOM → 新版 JS 数据 → 通用抽取，一层层退。 实测两篇：2373 字符 + 12 张图、2772 字符 + 13 张图，作者也都取到了。 同时补上用户提的两件： - 知识能删了：DELETE /knowledge/{id}?confirm=true，软删 + 真删检索切片， 只有作者或 owner/admin 能删；列表卡片（悬停出现）和阅读页动作行各一个入口。 删完详情也回 7001，否则收藏的链接还能打开一篇已删除的知识。 - 分类下面有标签清单了：GET /knowledge/tags 按标签数"有多少条知识用了它"， 侧栏渲染成 #标签 + 条数，点一下筛选、再点取消。
637 lines
23 KiB
Python
637 lines
23 KiB
Python
"""把一条链接抓成一篇知识。
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微信里发一条链接，多半就是想"把这篇文章存下来"。这里负责三件事：
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1. **取正文**：用 trafilatura 的正文抽取（开源社区里在中文站上表现最稳的一个），
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微信公众号单独走一条路——它的正文在 `#js_content` 里、图片放在 `data-src`，
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通用抽取器会把图丢掉。
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2. **留来源**：正文开头记一行原文地址与作者，日后要核对时不用猜。
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3. **图片转存**：文章里的图片不是躺在我们的存储里，公众号一改就变红叉。
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所以抓下来的图逐张存成附件，正文里的地址换成我们自己的签名直链。
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抓不下来不硬扛：调用方拿到 `ArticleError` 就把原链接当普通文本存成任务，
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用户至少不会丢东西。
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"""
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from __future__ import annotations
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import html as html_mod
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import ipaddress
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import re
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import socket
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import uuid
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from dataclasses import dataclass, field
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from urllib.parse import urlparse
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import httpx
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from sqlalchemy.ext.asyncio import AsyncSession
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from starlette.concurrency import run_in_threadpool
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# 先让 app.models 加载完：它在文件末尾反向导入各域的租户表清单，
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# 直接 import models_attachment 会撞上"部分初始化"的循环导入。
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from .. import models as _models # noqa: F401
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from ..config import get_settings
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from ..models_attachment import Attachment
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from . import signing, storage
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# 一条消息里只认第一个链接；带别的字就当普通任务（"看下 https://… 这个" 不该被吞成收藏）
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URL_RE = re.compile(r"https?://[^\s<>\"'）)】。，；]+", re.I)
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MAX_ARTICLES_BYTES = 8 * 1024 * 1024
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MAX_IMAGES = 12
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MAX_IMAGE_BYTES = 8 * 1024 * 1024
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MAX_BODY_CHARS = 200_000
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FETCH_TIMEOUT = 25.0
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DESKTOP_UA = (
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
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" (KHTML, like Gecko) Chrome/126.0 Safari/537.36"
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)
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# 公众号对"非微信浏览器"会压缩内容、图片懒加载，用微信 UA 拿到的才是完整一篇。
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WECHAT_UA = (
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"Mozilla/5.0 (iPhone; CPU iPhone OS 17_0 like Mac OS X) AppleWebKit/605.1.15"
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" (KHTML, like Gecko) Mobile/15E148 MicroMessenger/8.0.44(0x18002c2e)"
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" NetType/WIFI Language/zh_CN"
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)
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IMAGE_EXTS = {"jpeg": "jpg", "jpg": "jpg", "png": "png", "gif": "gif", "webp": "webp"}
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# 公众号新版页面（2024 之后）不再把正文放进 `#js_content`，而是把整篇塞进
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# `window.cgiDataNew` 这个 JS 对象里，由前端渲染。所以还得会读 JS 字符串字面量：
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# 换行写成 `\x0a`，话题链接是 `\x26lt;a …\x26gt;`（先转义成实体、再转义成 JS）。
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_WECHAT_FIELD_RE = re.compile(r"(?:content_noencode|desc)\s*:\s*'")
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_WECHAT_IMAGE_RE = re.compile(
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r"""(?:cdn_url|img_url|pic_url)\s*:\s*['"]((?:https?:)?//[^'"]*mmbiz\.qpic\.cn[^'"]*)['"]"""
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)
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_JS_ESCAPE_RE = re.compile(r"\\(x[0-9a-fA-F]{2}|u[0-9a-fA-F]{4}|.)", re.S)
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class ArticleError(RuntimeError):
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"""抓取/解析没成功。调用方据此决定降级方式。"""
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@dataclass
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class Article:
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url: str
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title: str
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body_md: str
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site: str = ""
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author: str = ""
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images: list[str] = field(default_factory=list)
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def extract_url(text: str) -> str | None:
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"""这一整句话就是个链接吗？
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允许链接前后有点标点、空格（"看下：https://x" 不算）；带了别的内容就当普通文本，
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免得用户随口提一句网址，心情是"记条任务"，结果被存成一篇文章。
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"""
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stripped = text.strip()
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match = URL_RE.search(stripped)
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if not match:
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return None
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rest = (stripped[: match.start()] + stripped[match.end() :]).strip()
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rest = rest.strip(" \t\r\n:：，。；;、!！?？（）()【】[]<>「」")
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if rest:
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return None
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return match.group(0)
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def is_wechat_article(url: str) -> bool:
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host = (urlparse(url).hostname or "").lower()
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return host == "mp.weixin.qq.com"
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async def _assert_public(url: str) -> None:
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"""只抓公网地址。
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这个入口能由工作区以外的人（微信里的任何人）触发，放任它就是一台 SSRF 跳板：
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`http://127.0.0.1:8200/version`、`http://169.254.169.254/` 之类都能被打。
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"""
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parsed = urlparse(url)
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if parsed.scheme not in ("http", "https"):
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raise ArticleError("只支持 http/https 链接")
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host = parsed.hostname or ""
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if not host:
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raise ArticleError("链接里没有主机名")
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try:
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infos = await _resolve(host)
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except OSError as exc: # 解析不出来就别猜
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raise ArticleError(f"解析不了这个域名：{exc}") from exc
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for _family, _type, _proto, _canon, sockaddr in infos:
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ip = ipaddress.ip_address(sockaddr[0])
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if (
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ip.is_private
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or ip.is_loopback
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or ip.is_link_local
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or ip.is_reserved
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or ip.is_multicast
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or ip.is_unspecified
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):
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raise ArticleError("这个地址在内网，不抓")
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async def _resolve(host: str):
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import asyncio
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def lookup():
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return socket.getaddrinfo(host, None)
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return await asyncio.to_thread(lookup)
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def _pick_ua(url: str) -> str:
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return WECHAT_UA if is_wechat_article(url) else DESKTOP_UA
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def _looks_blocked(html: str) -> bool:
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probes = (
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"环境异常",
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"完成验证后即可继续访问",
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"请在微信客户端打开链接",
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"该内容已被发布者删除",
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"此内容因违规无法查看",
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)
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return any(p in html for p in probes)
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def _clean_text(value: str) -> str:
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return re.sub(r"[ \t\u00a0]+", " ", (value or "").replace("\r", "")).strip()
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def _wechat_meta(html: str) -> tuple[str, str, list[tuple[str, str]]]:
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"""从公众号页面里取 (标题, 作者/公众号名, [(图片地址, alt)]) 与正文节点。"""
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from lxml import html as lxml_html
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tree = lxml_html.fromstring(html)
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title = ""
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for xpath in (
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'//*[@id="activity-name"]//text()',
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'//meta[@property="og:title"]/@content',
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"//title/text()",
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):
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parts = [_clean_text(t) for t in tree.xpath(xpath)]
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title = " ".join(p for p in parts if p)
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if title:
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break
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author = ""
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for xpath in (
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'//*[@id="js_name"]//text()',
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'//meta[@name="author"]/@content',
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'//*[@id="meta_content"]//*[@class="rich_media_meta_text"]//text()',
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):
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parts = [_clean_text(t) for t in tree.xpath(xpath)]
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author = " ".join(p for p in parts if p)
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if author:
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break
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if not author:
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# 新版页面没有 #js_name，公众号名在 cgiDataNew 的 nick_name 字段里
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found = re.search(r"nick_name\s*:\s*'([^']{1,80})'", html)
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author = _clean_text(found.group(1)) if found else ""
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return title, author, tree
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def _wechat_body(html: str) -> str:
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"""`#js_content` → markdown。
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公众号正文是一堆嵌套 `section` 拼版，段落文字常被拆成多个 `span`；
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这里只取"没有块级子节点"的元素，避免同一个句子被输出好几遍。
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"""
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from lxml import html as lxml_html
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tree = lxml_html.fromstring(html)
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nodes = tree.xpath('//*[@id="js_content"]')
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if not nodes:
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return ""
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content = nodes[0]
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block_tags = {
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"p",
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"section",
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"div",
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"blockquote",
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"li",
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"h1",
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"h2",
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"h3",
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"h4",
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"h5",
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"h6",
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"pre",
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}
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lines: list[str] = []
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for node in content.iter():
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tag = node.tag if isinstance(node.tag, str) else ""
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if tag == "img":
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src = node.get("data-src") or node.get("src") or ""
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if src.startswith("http"):
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lines.append(f"")
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continue
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if tag == "br":
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lines.append("")
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continue
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if tag not in block_tags:
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continue
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# 还有块级子孙的容器交给子节点输出，自己不出文字，否则整段重复
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if any(
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(child.tag if isinstance(child.tag, str) else "") in block_tags
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for child in node.iterdescendants()
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):
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continue
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text = _clean_text("".join(node.itertext()))
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if not text:
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continue
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if tag.startswith("h") and len(tag) == 2:
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text = f"## {text}"
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elif tag == "li":
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text = f"- {text}"
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elif tag == "blockquote":
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text = f"> {text}"
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lines.append(text)
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# 相邻空行压成一个，段间留空行
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out: list[str] = []
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for line in lines:
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if not line and (not out or not out[-1]):
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continue
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out.append(line)
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return "\n\n".join(s.strip() for s in "\n".join(out).split("\n\n") if s.strip())
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def _js_literal(text: str, quote_pos: int) -> str:
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"""读一个单引号 JS 字符串的原始内容（`quote_pos` 指向那个开引号）。"""
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out: list[str] = []
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i = quote_pos + 1
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while i < len(text):
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ch = text[i]
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if ch == "\\":
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out.append(text[i : i + 2])
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i += 2
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continue
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if ch == "'":
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break
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out.append(ch)
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i += 1
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return "".join(out)
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def _unescape_js(raw: str) -> str:
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def repl(match: re.Match[str]) -> str:
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seq = match.group(1)
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if seq[0] in "xu" and len(seq) > 1:
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return chr(int(seq[1:], 16))
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return {"n": "\n", "t": "\t", "r": "\r", "'": "'", '"': '"', "\\": "\\"}.get(seq, seq)
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return _JS_ESCAPE_RE.sub(repl, raw)
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def _wechat_data_body(html_text: str) -> str:
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"""新版公众号：从 `window.cgiDataNew` 的 JS 字段里把正文和配图捞出来。
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一篇文章是若干「图片 + 一段说明文字」拼起来的，JS 里是
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`cdn_url: '…'` 后面紧跟 `desc` / `content_noencode`，所以按出现顺序取文字，
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再往回找它自己那张图，配图就跟着段落走。
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"""
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blocks: list[str] = []
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seen_text: set[str] = set()
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used_images: set[str] = set()
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for match in _WECHAT_FIELD_RE.finditer(html_text):
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piece = _fragment_to_markdown(_unescape_js(_js_literal(html_text, match.end() - 1)))
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if len(piece) < 30 or piece in seen_text:
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continue
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seen_text.add(piece)
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image = _nearby_image(html_text, match.start(), used_images)
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if image and "![](" not in piece:
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used_images.add(image)
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piece = f"{piece}\n\n"
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blocks.append(piece)
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# 图文型文章（"小绿书"）的图不在文字附近，靠上面的就近配对会漏掉；
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# 剩下的正文图统一补在末尾，宁可顺序差点也别丢图。
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leftover: list[str] = []
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for match in _WECHAT_IMAGE_RE.finditer(html_text):
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image = match.group(1)
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image = image if image.startswith("http") else f"https:{image}"
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if image in used_images:
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continue
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used_images.add(image)
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leftover.append(f"")
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if len(leftover) >= MAX_IMAGES:
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break
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if leftover:
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blocks.append("\n\n".join(leftover))
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return "\n\n".join(blocks).strip()
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def _fragment_to_markdown(fragment: str) -> str:
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"""把「实体转义 + 夹着标签」的正文片段变成 markdown 文本。
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公众号把话题标签写成 `<a class="wx_topic_link" …>#调料</a>`，
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先 unescape 再当 HTML 处理，标签会被去掉、只留文字；`<img>` 转成 markdown。
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"""
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from lxml import html as lxml_html
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fragment = html_mod.unescape(fragment or "")
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fragment = re.sub(
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r"""<img[^>]*?(?:data-src|src)\s*=\s*["']([^"']+)["'][^>]*>""",
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lambda m: f"\n\n})\n\n",
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fragment,
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flags=re.I,
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)
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fragment = re.sub(r"<br\s*/?>", "\n", fragment, flags=re.I)
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try:
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tree = lxml_html.fragment_fromstring(fragment, create_parent="div")
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text = tree.text_content()
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except Exception: # 片段结构烂到 lxml 都不认，直接剥标签
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text = re.sub(r"<[^>]+>", "", fragment)
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text = text.replace("\u00a0", " ")
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lines = [re.sub(r"[ \t\u3000]+", " ", line).strip() for line in text.splitlines()]
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out: list[str] = []
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for line in lines:
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if not line and (not out or not out[-1]):
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continue
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out.append(line)
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return "\n".join(out).strip()
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def _nearby_image(html_text: str, pos: int, used: set[str]) -> str | None:
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"""这条文字对应的配图：先往后找（新版页面图片字段排在文字之后），再往回找。"""
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for start, end in ((pos, pos + 2500), (max(0, pos - 2500), pos)):
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found = [
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m.group(1)
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for m in _WECHAT_IMAGE_RE.finditer(html_text, start, min(end, len(html_text)))
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if m.group(1) not in used
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]
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if found:
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image = found[0]
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return image if image.startswith("http") else f"https:{image}"
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return None
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def _block_markdown(html: str) -> str:
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"""兜底的正文提取：找出"装着最多段文字"的那个容器，再按段落拼成 markdown。
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为什么还要这一手：trafilatura 在结构清楚的资讯站上很准，但遇到"整页一个 div、
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导航和正文混在一起"的老站点（政府站、企业站）时会连导航一起端出来。
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这里用最笨但稳的判据——哪个容器里的 <p> 文字最多，正文就在哪个容器里。
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"""
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from lxml import html as lxml_html
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tree = lxml_html.fromstring(html)
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best = None
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best_len = 0
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for node in tree.iter("div", "article", "section", "main", "td"):
|
||
total = sum(len("".join(p.itertext()).strip()) for p in node.iter("p"))
|
||
if total > best_len:
|
||
best, best_len = node, total
|
||
if best is None or best_len < 200:
|
||
return ""
|
||
|
||
parts: list[str] = []
|
||
for node in best.iter():
|
||
tag = node.tag if isinstance(node.tag, str) else ""
|
||
if tag == "img":
|
||
src = node.get("data-src") or node.get("src") or ""
|
||
if src.startswith("http"):
|
||
parts.append(f"")
|
||
continue
|
||
if tag not in {"p", "h1", "h2", "h3", "h4", "blockquote", "li"}:
|
||
continue
|
||
text = _clean_text("".join(node.itertext()))
|
||
if not text:
|
||
continue
|
||
if tag.startswith("h") and len(tag) == 2:
|
||
text = f"## {text}"
|
||
elif tag == "li":
|
||
text = f"- {text}"
|
||
elif tag == "blockquote":
|
||
text = f"> {text}"
|
||
parts.append(text)
|
||
return "\n\n".join(parts).strip()
|
||
|
||
|
||
def _body_score(body: str) -> int:
|
||
"""给一份抽取结果打分：有多少段"像人写的段落"。
|
||
|
||
只用来在两个候选之间挑一个，不需要绝对准确——比较的是同一篇文章的两种切法。
|
||
"""
|
||
lines = [line.strip() for line in body.splitlines() if line.strip()]
|
||
return sum(1 for line in lines if len(line) >= 40)
|
||
|
||
|
||
def _trim_chrome(body: str) -> str:
|
||
"""去掉抽取器一并带出来的导航与页脚。
|
||
|
||
按行看，找出第一行和最后一行"像正文的"（够长、或者有句读），把两头那些短标签
|
||
（"Java教程"、"Sign In"）切掉。按行而不是按段落，是因为导航往往是一行一个、
|
||
中间不空行，按段落切会把它和正文粘成一整块，判不出边界。
|
||
"""
|
||
lines = body.splitlines()
|
||
if not lines:
|
||
return ""
|
||
|
||
def substantive(line: str) -> bool:
|
||
text = line.strip()
|
||
if not text or text.startswith(("![", "> ")):
|
||
return False
|
||
plain = text.lstrip("#-* ")
|
||
return len(plain) >= 20 or bool(re.search(r"[。！？；]", plain))
|
||
|
||
first = next((i for i, line in enumerate(lines) if substantive(line)), None)
|
||
if first is None:
|
||
return body.strip()
|
||
last = max(i for i, line in enumerate(lines) if substantive(line))
|
||
# 图片通常紧贴在正文前后，边界外紧邻的图保留
|
||
while first > 0 and lines[first - 1].strip().startswith("!["):
|
||
first -= 1
|
||
while last + 1 < len(lines) and lines[last + 1].strip().startswith("!["):
|
||
last += 1
|
||
return "\n".join(lines[first : last + 1]).strip()
|
||
|
||
|
||
def _generic_article(html: str, url: str) -> Article:
|
||
"""非公众号：交给 trafilatura，它在正文/噪声的判别上比手搓规则靠谱得多。
|
||
|
||
先按 `favor_precision` 抠最干净的一块；它经常因为"看着都不像正文"而返回空，
|
||
再退回默认召回模式。两头再削一刀导航。
|
||
"""
|
||
import trafilatura
|
||
|
||
metadata = trafilatura.extract_metadata(html, default_url=url)
|
||
common = {
|
||
"url": url,
|
||
"output_format": "markdown",
|
||
"include_images": True,
|
||
"include_links": True,
|
||
"include_formatting": True,
|
||
}
|
||
body = trafilatura.extract(html, favor_precision=True, **common) or ""
|
||
if len(body.strip()) < 120:
|
||
body = trafilatura.extract(html, **common) or ""
|
||
if not body.strip():
|
||
# 再退一步：trafilatura 认不出结构时，退到纯文本
|
||
body = trafilatura.extract(html, url=url, output_format="txt") or ""
|
||
body = _trim_chrome(body)
|
||
|
||
# 老站点（政府站、企业站）常把导航和正文塞进同一个 div，trafilatura 会连导航一起端出来。
|
||
# 用"哪个容器里段落文字最多"另取一份，两份按"像样段落的条数"挑更干净的那个。
|
||
block = _trim_chrome(_block_markdown(html))
|
||
if _body_score(block) > _body_score(body):
|
||
body = block
|
||
if not body.strip():
|
||
raise ArticleError("这个页面里没找到正文（可能是动态渲染或需要登录）")
|
||
title = _clean_text(getattr(metadata, "title", "") or "")
|
||
return Article(
|
||
url=url,
|
||
title=title,
|
||
body_md=body.strip(),
|
||
site=_clean_text(getattr(metadata, "sitename", "") or ""),
|
||
author=_clean_text(getattr(metadata, "author", "") or ""),
|
||
)
|
||
|
||
|
||
def parse_article(html: str, url: str) -> Article:
|
||
if _looks_blocked(html):
|
||
raise ArticleError("微信把这篇拦下来了（需要人工验证或链接已失效）")
|
||
if is_wechat_article(url):
|
||
title, author, _tree = _wechat_meta(html)
|
||
body = _wechat_body(html) or _wechat_data_body(html)
|
||
if not body.strip():
|
||
# 公众号偶尔会换结构，退回通用抽取，宁可少图也别丢正文
|
||
article = _generic_article(html, url)
|
||
article.author = author or article.author
|
||
return article
|
||
return Article(
|
||
url=url,
|
||
title=title,
|
||
body_md=body.strip(),
|
||
site="微信公众号",
|
||
author=author,
|
||
)
|
||
return _generic_article(html, url)
|
||
|
||
|
||
async def fetch_article(url: str) -> Article:
|
||
await _assert_public(url)
|
||
headers = {
|
||
"User-Agent": _pick_ua(url),
|
||
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
|
||
"Accept-Language": "zh-CN,zh;q=0.9,en;q=0.6",
|
||
}
|
||
try:
|
||
async with httpx.AsyncClient(
|
||
follow_redirects=True, timeout=FETCH_TIMEOUT, headers=headers
|
||
) as client:
|
||
resp = await client.get(url)
|
||
resp.raise_for_status()
|
||
raw = resp.content
|
||
except httpx.HTTPStatusError as exc:
|
||
raise ArticleError(f"对方站点返回 {exc.response.status_code}") from exc
|
||
except httpx.HTTPError as exc:
|
||
raise ArticleError(f"取不到这个页面：{type(exc).__name__}") from exc
|
||
if len(raw) > MAX_ARTICLES_BYTES:
|
||
raise ArticleError("页面太大了，不像是篇文章")
|
||
html = raw.decode(resp.encoding or "utf-8", errors="replace")
|
||
article = parse_article(html, url)
|
||
article.title = (article.title or urlparse(url).hostname or "未命名")[:180]
|
||
return article
|
||
|
||
|
||
async def _download_image(client: httpx.AsyncClient, url: str) -> tuple[bytes, str] | None:
|
||
try:
|
||
resp = await client.get(url)
|
||
resp.raise_for_status()
|
||
except httpx.HTTPError:
|
||
return None
|
||
if len(resp.content) > MAX_IMAGE_BYTES:
|
||
return None
|
||
ctype = (resp.headers.get("content-type") or "").split(";")[0].strip().lower()
|
||
if not ctype.startswith("image/"):
|
||
# 公众号图片地址带 wx_fmt 参数，content-type 偶尔是 octet-stream，按扩展名兜一下
|
||
fmt = urlparse(url).query or ""
|
||
m = re.search(r"wx_fmt=(\w+)", fmt)
|
||
guess = IMAGE_EXTS.get((m.group(1) if m else "").lower(), "")
|
||
if not guess:
|
||
return None
|
||
ctype = f"image/{'jpeg' if guess == 'jpg' else guess}"
|
||
return resp.content, ctype
|
||
|
||
|
||
async def store_images(
|
||
session: AsyncSession,
|
||
*,
|
||
ws_id: uuid.UUID,
|
||
item_id: uuid.UUID,
|
||
uploader_id: uuid.UUID,
|
||
body_md: str,
|
||
limit: int = MAX_IMAGES,
|
||
) -> tuple[str, list[Attachment]]:
|
||
"""把正文里引用的远程图片存成我们自己的附件，返回改写后的正文与附件行。
|
||
|
||
失败就当没这张图：一张打不开的配图不该让整篇收藏失败。
|
||
"""
|
||
from io import BytesIO
|
||
|
||
urls = re.findall(r"!\[[^\]]*\]\((https?://[^)\s]+)\)", body_md)
|
||
unique: list[str] = []
|
||
for url in urls:
|
||
if url not in unique:
|
||
unique.append(url)
|
||
if len(unique) >= limit:
|
||
break
|
||
if not unique:
|
||
return body_md, []
|
||
|
||
settings = get_settings()
|
||
saved: list[Attachment] = []
|
||
mapping: dict[str, str] = {}
|
||
headers = {"User-Agent": DESKTOP_UA, "Referer": "https://mp.weixin.qq.com/"}
|
||
async with httpx.AsyncClient(
|
||
follow_redirects=True, timeout=FETCH_TIMEOUT, headers=headers
|
||
) as client:
|
||
for index, remote in enumerate(unique, start=1):
|
||
got = await _download_image(client, remote)
|
||
if got is None:
|
||
continue
|
||
payload, content_type = got
|
||
ext = IMAGE_EXTS.get(content_type.split("/")[-1], "jpg")
|
||
# 落盘是阻塞 IO：一篇公众号十几张图，别把事件循环按住
|
||
stored = await run_in_threadpool(
|
||
storage.save, BytesIO(payload), workspace_id=ws_id, item_id=item_id
|
||
)
|
||
if stored.size > settings.max_upload_mb * 1024 * 1024:
|
||
storage.remove(stored.key)
|
||
continue
|
||
row = Attachment(
|
||
workspace_id=ws_id,
|
||
item_id=item_id,
|
||
uploader_id=uploader_id,
|
||
filename=f"图{index}.{ext}",
|
||
content_type=content_type[:120],
|
||
size_bytes=stored.size,
|
||
sha256=stored.sha256,
|
||
storage_key=stored.key,
|
||
)
|
||
session.add(row)
|
||
await session.flush()
|
||
mapping[remote] = (
|
||
f"{settings.api_prefix}/workspaces/{ws_id}"
|
||
f"/attachments/{row.id}/raw?{signing.sign(ws_id, row.id)}"
|
||
)
|
||
saved.append(row)
|
||
|
||
for remote, local in mapping.items():
|
||
body_md = body_md.replace(remote, local)
|
||
return body_md, saved
|
||
|
||
|
||
def compose_body(article: Article) -> str:
|
||
"""正文 = 来源行 + 原文。来源要留在最上面，日后核对不用翻聊天记录。"""
|
||
bits = [f"> 原文：<{article.url}>"]
|
||
if article.site or article.author:
|
||
who = " · ".join(x for x in (article.site, article.author) if x)
|
||
bits[0] += f"（{who}）"
|
||
body = "\n".join(bits) + "\n\n" + article.body_md
|
||
if len(body) > MAX_BODY_CHARS:
|
||
body = body[:MAX_BODY_CHARS] + "\n\n…（原文太长，后面的内容没有保存）"
|
||
return body
|