762824c590
- backends is now an ordered candidate list (first = preferred); channels report the backend actually serving via active_backend, surfaced in the doctor text report and --json - new agent_reach/probe.py really executes upstream commands and tells apart missing / broken (stale venv shebang after a system Python upgrade) / timeout, with a reinstall prescription for broken installs - all 13 channels migrated off which()-only checks: fixes bilibili false-positive "bili-cli 可用" on broken shims, misleading xiaohongshu "连接失败", rdt OSError crashing doctor, mcporter breakage masquerading as "未配置" - twitter: 15s probe + 1 retry (flaky 10s timeout), broken twitter-cli now falls back to bird instead of aborting the check - doctor survives per-channel exceptions; config supports per-channel backend override (<channel>_backend / <CHANNEL>_BACKEND env) - fix skill install/uninstall crash on symlinked skill dirs (the "[Errno None] None" warning from shutil.rmtree on a symlink) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
167 lines
5.8 KiB
Python
167 lines
5.8 KiB
Python
# -*- coding: utf-8 -*-
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"""XiaoHongShu — check if xhs-cli (xiaohongshu-cli) is available."""
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from agent_reach.probe import probe_command
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from .base import Channel
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def format_xhs_result(data):
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"""Clean XHS API response, keeping only useful fields.
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Handles both single note objects and lists of notes (search results).
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Drastically reduces token usage by stripping structural redundancy (#134).
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"""
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if isinstance(data, list):
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return [_clean_note(item) for item in data]
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if isinstance(data, dict):
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# Handle search_feeds wrapper: {"items": [...]} or {"data": {"items": [...]}}
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items = None
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if "items" in data:
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items = data["items"]
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elif "data" in data and isinstance(data.get("data"), dict):
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items = data["data"].get("items") or data["data"].get("notes")
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if items and isinstance(items, list):
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return [_clean_note(item) for item in items]
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# Single note
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return _clean_note(data)
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return data
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def _clean_note(note):
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"""Extract useful fields from a single XHS note/feed item."""
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if not isinstance(note, dict):
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return note
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# Some responses nest the note under "note_card" or "note"
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inner = note.get("note_card") or note.get("note") or note
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result = {}
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# Basic info
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for key in ("id", "note_id", "xsec_token", "title", "desc", "type", "time"):
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if key in inner:
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result[key] = inner[key]
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# Content (may be in desc or content)
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if "content" in inner and "desc" not in result:
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result["content"] = inner["content"]
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# Author
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user = inner.get("user") or inner.get("author")
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if isinstance(user, dict):
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result["user"] = {
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k: user[k] for k in ("nickname", "user_id", "nick_name") if k in user
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}
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# Engagement metrics
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interact = inner.get("interact_info") or inner.get("note_interact_info") or {}
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if isinstance(interact, dict):
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for key in ("liked_count", "collected_count", "comment_count", "share_count"):
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if key in interact:
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result[key] = interact[key]
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# Also check top-level (some API formats)
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for key in ("liked_count", "collected_count", "comment_count", "share_count"):
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if key in inner and key not in result:
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result[key] = inner[key]
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# Images — just URLs
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images = inner.get("image_list") or inner.get("images_list") or []
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if isinstance(images, list):
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urls = []
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for img in images:
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if isinstance(img, dict):
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url = img.get("url") or img.get("url_default") or img.get("original")
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if url:
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urls.append(url)
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elif isinstance(img, str):
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urls.append(img)
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if urls:
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result["images"] = urls
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# Tags
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tags = inner.get("tag_list") or inner.get("tags") or []
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if isinstance(tags, list):
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tag_names = []
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for t in tags:
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if isinstance(t, dict) and "name" in t:
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tag_names.append(t["name"])
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elif isinstance(t, str):
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tag_names.append(t)
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if tag_names:
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result["tags"] = tag_names
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# Comments (if present, e.g. from get_feed_detail with comments)
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comments = inner.get("comments") or []
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if isinstance(comments, list) and comments:
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result["comments"] = [_clean_comment(c) for c in comments]
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return result
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def _clean_comment(comment):
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"""Extract useful fields from a comment."""
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if not isinstance(comment, dict):
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return comment
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result = {}
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if "content" in comment:
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result["content"] = comment["content"]
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user = comment.get("user_info") or comment.get("user")
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if isinstance(user, dict):
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result["user"] = user.get("nickname") or user.get("nick_name", "")
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for key in ("like_count", "sub_comment_count"):
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if key in comment:
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result[key] = comment[key]
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return result
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class XiaoHongShuChannel(Channel):
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name = "xiaohongshu"
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description = "小红书笔记"
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backends = ["xhs-cli (xiaohongshu-cli)"]
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tier = 1
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def can_handle(self, url: str) -> bool:
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from urllib.parse import urlparse
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d = urlparse(url).netloc.lower()
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return "xiaohongshu.com" in d or "xhslink.com" in d
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def check(self, config=None):
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self.active_backend = None
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probe = probe_command(
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"xhs", ["status"], timeout=10, package="xiaohongshu-cli"
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)
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if probe.status == "missing":
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return "off", (
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"需要安装 xhs-cli:\n"
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" pipx install xiaohongshu-cli\n"
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"或:\n"
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" uv tool install xiaohongshu-cli\n"
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"安装后运行 `xhs login` 登录"
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)
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if probe.status == "broken":
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return "error", "xhs 命令存在但无法执行\n" + probe.hint
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if probe.status == "timeout":
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return "warn", "xhs-cli 已安装但状态检测超时\n" + probe.hint
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# 进程是活的(执行成功或运行后非零退出)——按输出内容分类
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if probe.ok and "ok: true" in probe.output:
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self.active_backend = self.backends[0]
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return "ok", (
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"完整可用(搜索、阅读、评论、发帖、热门、"
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"收藏、关注、用户查询)"
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)
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if "not_authenticated" in probe.output or "expired" in probe.output:
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self.active_backend = self.backends[0]
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return "warn", (
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"xhs-cli 已安装但未登录。运行:\n"
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" xhs login\n"
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"(自动从浏览器提取 Cookie,或扫码登录)"
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)
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self.active_backend = self.backends[0]
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return "warn", (
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"xhs-cli 已安装但状态异常。运行:\n"
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" xhs -v status 查看详细信息"
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)
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