"""关键词搜索:query → content_id 列表(翻页 + 去重 + 截断)。 接口(实测 2026-06-26,host = settings.crawler_base_url): 小红书 POST /crawler/xiao_hong_shu/keyword body{keyword, content_type:"图文"|"视频", sort_type:"综合", publish_time:"", cursor:""} → {code:0, data:{has_more, next_cursor, data:[{id:, note_card:{...}}]}} 抖音 POST /crawler/dou_yin/keyword body{keyword, content_type:"视频", sort_type:"综合排序", publish_time:"不限", cursor:"0", account_id:"771431222"} # ← 缺 account_id 会 code 10000 → {code:0, data:{has_more, next_cursor, data:[{aweme_id:, ...}]}} 各平台请求参数 / id 字段不同,集中在 PLATFORM_SEARCH 表里。 搜索只给预览;全文/全图/视频仍需 crawler.fetch_post_detail 逐 id 取详情(detail 只需 content_id)。 parse_search_response 纯函数可离线测;search_keyword 负责 HTTP + 翻页。 """ from __future__ import annotations from typing import Any, Optional from urllib.parse import urljoin import httpx from creation_knowledge.config import Settings from creation_knowledge.integrations.crawler import RateLimiter # 每平台的搜索参数差异(path / 条目 id 字段 / 排序 / 发布时间 / 起始 cursor / account_id) PLATFORM_SEARCH = { "xiaohongshu": { "path": "/crawler/xiao_hong_shu/keyword", "id_key": "id", "sort_type": "综合", "publish_time": "", "cursor0": "", "account_id": None, }, "douyin": { "path": "/crawler/dou_yin/keyword", "id_key": "aweme_id", "sort_type": "综合排序", "publish_time": "不限", "cursor0": "0", # 对齐 ContentFindAgentNew CONTENTFIND_DOUYIN_DEFAULT_ACCOUNT_ID;缺它抖音搜索 code 10000 "account_id": "771431222", }, } class SearchError(RuntimeError): pass def parse_search_response(response: Any, *, platform: str = "xiaohongshu") -> tuple[list[str], bool, str]: """信封 {code,msg,data:{has_more,next_cursor,data:[...]}} → (content_ids, has_more, next_cursor)。 条目 id 字段按平台取(小红书 id / 抖音 aweme_id)。code!=0 抛 SearchError。""" if not isinstance(response, dict): raise SearchError("bad_response: not a dict") code = response.get("code") if code not in (0, "0"): raise SearchError(f"business_error: code={code} msg={response.get('msg')}") data = response.get("data") or {} items = data.get("data") or [] id_key = (PLATFORM_SEARCH.get(platform) or {}).get("id_key", "id") ids = [it.get(id_key) for it in items if isinstance(it, dict) and it.get(id_key)] return ids, bool(data.get("has_more")), str(data.get("next_cursor") or "") def search_keyword( keyword: str, *, platform: str = "xiaohongshu", content_type: str = "图文", sort_type: Optional[str] = None, # None → 平台默认(小红书:综合 / 抖音:综合排序) publish_time: Optional[str] = None, # None → 平台默认(抖音:不限) account_id: Optional[str] = None, # None → 平台默认(抖音:771431222;小红书无) limit: int = 5, settings: Optional[Settings] = None, http_client: Any = None, rate_limiter: Optional[RateLimiter] = None, env_file: str = ".env", max_pages: int = 10, ) -> list[str]: """搜索 → content_id 列表(翻页直到够 limit 或 has_more=False;按 id 去重、截断 limit)。 平台专属参数(path/sort_type/publish_time/起始cursor/account_id)取自 PLATFORM_SEARCH, 显式入参可覆盖。复用 crawler.RateLimiter('{platform}_keyword' bucket)。失败抛 SearchError。""" cfg = PLATFORM_SEARCH.get(platform) if not cfg: raise SearchError(f"unsupported platform: {platform}") settings = settings or Settings.from_env(env_file) sort_type = cfg["sort_type"] if sort_type is None else sort_type publish_time = cfg["publish_time"] if publish_time is None else publish_time account_id = cfg["account_id"] if account_id is None else account_id rate_limiter = rate_limiter or RateLimiter() owns_client = http_client is None client = http_client or httpx.Client() out: list[str] = [] seen: set[str] = set() cursor = cfg["cursor0"] try: for _ in range(max_pages): rate_limiter.wait(f"{platform}_keyword") url = urljoin(settings.crawler_base_url, cfg["path"]) body = {"keyword": keyword, "content_type": content_type, "sort_type": sort_type, "publish_time": publish_time, "cursor": cursor} if account_id: body["account_id"] = account_id # 抖音必带;小红书不带 try: resp = client.post(url, json=body, headers={"Content-Type": "application/json"}, timeout=settings.crawler_timeout) resp.raise_for_status() data = resp.json() except httpx.HTTPError as exc: raise SearchError(f"http_error: {exc}") from exc except ValueError as exc: raise SearchError("bad_json") from exc ids, has_more, next_cursor = parse_search_response(data, platform=platform) for cid in ids: if cid not in seen: seen.add(cid) out.append(cid) if len(out) >= limit: return out if not has_more or not next_cursor or next_cursor == cursor: break cursor = next_cursor finally: if owns_client: client.close() return out[:limit]