上游爬虫本身不缺抖音能力(三模式、四项指标、二级评论都与小红书对等、指标还是同名同列),
缺的全在监控层的适配。这次把「平台之间不一样」的管子集中到一个新模块,再把散落的
xhs 硬编码接上去。
* 新增 api/monitor/adapters.py:产物目录名、jsonl 字段别名、目标链接形态与正则、
通知链接模板。不放进 platforms.py 是因为那个模块被 describe_all() 整个序列化进
/api/config/platforms 交给前端,塞进正则和目录名会让爬虫内部细节漏进 API 载荷。
代价是两个注册表可能漂移,用一条测试钉住「声明接通就必须有适配器」。
* 两个必须知道的坑,都在这版里处理掉了:
1) 抖音的平台 id 是 dy,而 store 把产物写在 douyin/ 下(store/douyin/_store_impl.py:47)。
不改就是 ingest 一个文件都读不到 —— 不报错,只是 0 条,然后被冒充成「疑似登录失效」。
2) 抖音的作品没有 note_id(叫 aweme_id)、评论也用 aweme_id 指作品。ingest 第一步是
`if not note_id: continue`,不映射就逐条全丢。
另外抖音顶层评论的 parent_comment_id 是字符串 "0",归一成空串,免得前端多出悬空的父节点。
* 顺带把「东西抓到了、只是没落在期望目录里」单独识别出来。这类故障的现象和登录失效
一模一样,按登录失效报会把人指去查完全错误的方向。
* 修两个既有 bug(今天只有小红书所以无害,加抖音就踩响):
- service.py update_task 换目标时漏传 task.platform,回落到默认小红书
- scheduler.py 取 cookie 没传 platform,抖音任务会读着小红书那份 cookie 不动
* 行为变更(已与用户确认):cookie 闸门改成「没 cookie 且没开 CDP」才跳过。
CDP 模式下登录态来自被接管的浏览器,粘不粘 cookie 由不得它决定;不放行的话,
选了「接管已有 Chrome」却没粘 cookie 的用户会看到任务永远不触发,而且不报错。
副作用是开启了 CDP 的小红书任务也不再被该闸门拦住 —— 语义上是对的。
* 目标输入框的示例链接与措辞改由能力矩阵提供(notes_label 抖音说「作品」、小红书说
「笔记」;「建议只填纯 ID」是小红书专属劝告,抖音链接不带令牌,不再显示)。
测试 +22 条(858 通过),其中最关键的是「抖音作品/评论不被静默丢弃」与「产物目录名
不等于平台 id」两条 —— 都是把最难查的失败模式钉死在回归网里。
注意:抖音这条路的**端到端尚未验证**,需要一份可用的抖音登录态(CDP 那台 Chrome 里
登录,或导出一份 cookie)。单测覆盖的是解析与入库,真实抓取还没跑过。
217 lines
7.8 KiB
Python
217 lines
7.8 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (c) 2025 [email protected]
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#
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# This file is part of MediaCrawler project.
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# Repository: https://github.com/NanmiCoder/MediaCrawler/blob/main/api/monitor/platforms.py
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# GitHub: https://github.com/NanmiCoder
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# Licensed under NON-COMMERCIAL LEARNING LICENSE 1.1
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#
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# 声明:本代码仅供学习和研究目的使用。使用者应遵守以下原则:
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# 1. 不得用于任何商业用途。
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# 2. 使用时应遵守目标平台的使用条款和robots.txt规则。
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# 3. 不得进行大规模爬取或对平台造成运营干扰。
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# 4. 应合理控制请求频率,避免给目标平台带来不必要的负担。
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# 5. 不得用于任何非法或不当的用途。
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#
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# 详细许可条款请参阅项目根目录下的LICENSE文件。
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# 使用本代码即表示您同意遵守上述原则和LICENSE中的所有条款。
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"""Platform capability matrix.
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The single source of truth for what each platform can do. The UI renders its
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platform switcher and metric columns from this, and the API validates against
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it.
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Two distinct things are recorded here, and conflating them would be misleading:
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* ``crawler_modes`` / ``metrics`` / ``comment_levels`` / ``media`` describe what
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the upstream crawler module actually supports. These were read out of the
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platform modules, not assumed -- all seven implement search/detail/creator;
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the real differences are in which interaction metrics they capture.
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* ``monitor_wired`` says whether the *monitoring layer* has been hooked up. It
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covers Xiaohongshu and Douyin. The parts where those two differ -- which
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directory the crawler writes into, what the jsonl fields are called, what a
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target URL looks like -- live in ``adapters.py``; the rest of the layer is
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platform-neutral.
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A platform can therefore be fully crawlable by upstream and still not usable for
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monitoring, which is exactly the state of the other five today.
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"""
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from typing import Any, Dict, List, Optional
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PLATFORM_XHS = "xhs"
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PLATFORM_LABELS = {
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"xhs": "小红书",
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"dy": "抖音",
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"ks": "快手",
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"bili": "B站",
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"wb": "微博",
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"tieba": "贴吧",
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"zhihu": "知乎",
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}
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# Interaction metrics each platform's store actually persists. Xiaohongshu has no
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# play count or danmaku; Bilibili has both and the widest set; Kuaishou carries
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# no comment/share/collect at all; Tieba stores only reply counts.
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PLATFORM_CAPABILITIES: Dict[str, Dict[str, Any]] = {
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"xhs": {
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"crawler_modes": ["search", "detail", "creator"],
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"metrics": ["liked_count", "comment_count", "collected_count", "share_count"],
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"comment_levels": 2,
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"media": True,
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"monitor_wired": True,
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"target_hints": {
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"creator": "https://www.xiaohongshu.com/user/profile/5f58bd990000000001003753",
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"note": "https://www.xiaohongshu.com/explore/6aa3d827000000002802c5c8?xsec_token=...",
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"creator_label": "博主主页",
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"note_label": "笔记",
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# 只有小红书的链接带会过期的 xsec_token。抖音的链接不带令牌,永久有效,
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# 那句「建议只填纯 ID」的劝告对它没有意义。
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"token_expires": True,
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},
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},
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"dy": {
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"crawler_modes": ["search", "detail", "creator"],
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"metrics": ["liked_count", "comment_count", "collected_count", "share_count"],
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"comment_levels": 2,
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"media": True,
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"monitor_wired": True,
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# 用户可见的示例链接(前端的目标输入框用它做 placeholder)。放这里是因为
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# 它属于「这个平台长什么样」的能力描述;真正干活的管子(正则、目录名、
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# 字段别名)在 adapters.py。
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"target_hints": {
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"creator": "https://www.douyin.com/user/MS4wLjABAAAATJPY7LAlaa5X-c8uNdWkvz0jUGgpw4eeXIwu_8BhvqE",
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"note": "https://www.douyin.com/video/7525082444551310602",
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"creator_label": "博主主页",
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"note_label": "作品",
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},
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},
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"ks": {
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"crawler_modes": ["search", "detail", "creator"],
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# No comment/share/collect in the Kuaishou store; sub-comments are stored
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# flat with no parent link and carry no like count.
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"metrics": ["liked_count", "view_count"],
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"comment_levels": 1,
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"media": True,
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"monitor_wired": False,
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},
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"bili": {
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"crawler_modes": ["search", "detail", "creator"],
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"metrics": [
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"liked_count",
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"video_play_count",
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"video_danmaku",
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"comment_count",
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"video_favorite_count",
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"video_coin_count",
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"video_share_count",
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],
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"comment_levels": 2,
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"media": True,
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"monitor_wired": False,
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},
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"wb": {
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"crawler_modes": ["search", "detail", "creator"],
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# Weibo has no collect count, and its comment count field is named
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# differently in the model.
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"metrics": ["liked_count", "comments_count", "shared_count"],
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"comment_levels": 2,
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"media": True,
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"monitor_wired": False,
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},
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"tieba": {
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"crawler_modes": ["search", "detail", "creator"],
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"metrics": ["total_replay_num", "total_replay_page"],
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"comment_levels": 2,
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"media": False,
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"monitor_wired": False,
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},
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"zhihu": {
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"crawler_modes": ["search", "detail", "creator"],
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"metrics": ["voteup_count", "comment_count"],
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"comment_levels": 2,
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"media": False,
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"monitor_wired": False,
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},
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}
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METRIC_LABELS = {
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"liked_count": "点赞",
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"comment_count": "评论",
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"collected_count": "收藏",
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"share_count": "分享",
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"view_count": "播放",
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"video_play_count": "播放",
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"video_danmaku": "弹幕",
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"video_favorite_count": "收藏",
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"video_coin_count": "投币",
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"video_share_count": "分享",
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"comments_count": "评论",
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"shared_count": "转发",
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"total_replay_num": "回复数",
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"total_replay_page": "回复页数",
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"voteup_count": "赞同",
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}
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# Monitoring modes, mapped to the CLI crawler types upstream understands.
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MONITOR_MODE_CREATOR = "creator"
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MONITOR_MODE_NOTE = "note"
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CLI_TYPE_FOR_MODE = {
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MONITOR_MODE_CREATOR: "creator",
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MONITOR_MODE_NOTE: "detail",
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}
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class UnsupportedPlatformError(ValueError):
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"""Raised for an unknown platform, or one the monitor layer cannot run."""
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def all_platforms() -> List[str]:
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return list(PLATFORM_CAPABILITIES)
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def is_known(platform: str) -> bool:
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return platform in PLATFORM_CAPABILITIES
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def is_monitor_wired(platform: str) -> bool:
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return bool(PLATFORM_CAPABILITIES.get(platform, {}).get("monitor_wired"))
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def describe(platform: str) -> Optional[Dict[str, Any]]:
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capability = PLATFORM_CAPABILITIES.get(platform)
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if capability is None:
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return None
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return {
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"value": platform,
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"label": PLATFORM_LABELS.get(platform, platform),
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**capability,
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"metric_labels": {
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metric: METRIC_LABELS.get(metric, metric) for metric in capability["metrics"]
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},
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}
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def describe_all() -> List[Dict[str, Any]]:
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return [describe(platform) for platform in all_platforms()]
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def ensure_runnable(platform: str) -> None:
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"""Validate a platform for a monitoring task.
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An unwired platform is rejected outright rather than accepted and left to
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silently produce nothing -- the same silent-failure shape that made a valid
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creator look like an expired login earlier.
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"""
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if not is_known(platform):
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raise UnsupportedPlatformError(
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f"未知平台:{platform}(支持:{', '.join(all_platforms())})"
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)
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if not is_monitor_wired(platform):
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label = PLATFORM_LABELS.get(platform, platform)
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raise UnsupportedPlatformError(
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f"{label}的爬虫已支持,但监控层尚未接通,暂时无法创建监控任务。"
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)
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