新增:Google 系检索(SerpAPI → Serper.dev) - scripts/lib/serper_client.py:封装 serper.dev 的 Google Search / Scholar / News / Patents - 专利检索用 site:patents.google.com 技巧,serper.dev 没专用 endpoint 但效果很好 - Scholar 带引用数、年份、期刊信息,便于权威信源识别 - News 支持 time_range(d/w/m/y)时效性过滤 - scripts/lib/search_client.py 扩展为多路由门面: - search() 通用:Exa → Tavily - patents() 专利:Serper(Google Patents)→ 通用搜索 + site: 兜底 - scholar() 论文:Serper Scholar → 通用搜索兜底 - news() 新闻:Serper News → 通用搜索兜底 - 所有 httpx 客户端 trust_env=False,绕过系统 socks5 代理(v0.6 修过的 TLS EOF) - .opencode/skills/search-strategy/SKILL.md §三重写:按查询类型路由,明确何时用哪个 API H1 章节标题:两行居中 + 装饰横线 - 新增 ParagraphStyle: h1-chapter-num / h1-chapter-title - 新增 parse_chapter_title() 支持中文/阿拉伯/混合空格章号: "第一章" / "第 9 章" / "第6章" / "Chapter 1" 全覆盖 - 分隔符支持: em dash — / en dash – / - / : / : - 新增 build_chapter_header():章号小字居中 + 章名大字深蓝居中 + HRFlowable 3cm 装饰线 - 只对正文章节(_title_kind == "chapter")启用;前置件(免责声明/执行摘要/术语表/目录) 仍用单行 h1 样式 反方证据段规范化(用户反馈 v0.7 问题 #5) - skill:evidence-table 新增 §"正文中反方证据段落的写作规范": - 禁止机械标题"反驳证据" / "Counter-Evidence" / "反方观点" - 必须观点化,包含具体判断(如"另一种声音:管线虚胖还是真实进展?") - 用 H2 或 H3,禁止加粗段冒充标题 - 给出段落结构模板(1-2 句过渡 → 列表型反方论点 → 整合判断) - dr-analyst.md Hard Rules #3 改为引用该规范 术语表事实核查前置(新 command /dr-glossary) - 新增 .opencode/commands/dr-glossary.md,支持 --from phase1|phase2|phase4 三个时机 - Phase 1 末 / Phase 2 初:从 framework.md 抽取专有名词种子表,在 dr-analyst 起草前 预先核查公司名/产品名/技术名拼写,避免编造错误(Mabwell → Maywavee 这类) - Phase 4:维持当前用法,对 glossary.json 全量核查 实测:dual-target-rnai-pipeline-2026 重生 PDF 55 页,所有 10 章标题双行居中正确渲染 (第一章/第二章/... 第十章 / 第 6 章 / 第 9 章 多种形式都识别)。
263 lines
8.7 KiB
Python
263 lines
8.7 KiB
Python
"""通用搜索客户端(Exa 优先,Tavily fallback)。
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为 build_glossary.py 这类术语核查场景服务。
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关键设计:
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- `trust_env=False` 绕开系统 socks 代理(Clash on macOS 配 socks5 时 httpx 会 TLS EOF)
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- Exa 优先:LinkedIn / 官网 / 百度百科返回质量最高
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- 遇到配额问题自动降级到 Tavily 或返回 empty
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- 不做深度 crawl,只要摘要
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"""
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from __future__ import annotations
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import os
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from dataclasses import dataclass
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from typing import Any
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import httpx
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@dataclass
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class SearchHit:
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title: str
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url: str
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snippet: str
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class SearchError(RuntimeError):
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pass
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class ExaClient:
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def __init__(self, api_key: str | None = None, timeout: float = 30.0) -> None:
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self.api_key = api_key or os.environ.get("EXA_API_KEY")
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if not self.api_key:
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raise SearchError("EXA_API_KEY not set")
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# trust_env=False 关键:不吃系统代理,避免 TLS EOF
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self._client = httpx.Client(trust_env=False, timeout=timeout)
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def close(self) -> None:
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self._client.close()
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def __enter__(self) -> "ExaClient":
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return self
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def __exit__(self, *_args: Any) -> None:
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self.close()
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def search(self, query: str, *, num_results: int = 5) -> list[SearchHit]:
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body = {
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"query": query,
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"numResults": num_results,
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"type": "auto",
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"contents": {"text": {"maxCharacters": 800}},
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}
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r = self._client.post(
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"https://api.exa.ai/search",
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json=body,
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headers={"x-api-key": self.api_key, "Content-Type": "application/json"},
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)
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if r.status_code != 200:
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raise SearchError(f"Exa HTTP {r.status_code}: {r.text[:200]}")
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data = r.json()
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out: list[SearchHit] = []
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for item in data.get("results", [])[:num_results]:
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out.append(
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SearchHit(
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title=(item.get("title") or "")[:200],
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url=item.get("url") or "",
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snippet=(item.get("text") or item.get("snippet") or "")[:600],
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)
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)
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return out
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class TavilyClient:
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def __init__(self, api_key: str | None = None, timeout: float = 30.0) -> None:
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self.api_key = api_key or os.environ.get("TAVILY_API_KEY")
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if not self.api_key:
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raise SearchError("TAVILY_API_KEY not set")
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self._client = httpx.Client(trust_env=False, timeout=timeout)
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def close(self) -> None:
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self._client.close()
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def __enter__(self) -> "TavilyClient":
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return self
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def __exit__(self, *_args: Any) -> None:
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self.close()
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def search(self, query: str, *, num_results: int = 5) -> list[SearchHit]:
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body = {
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"api_key": self.api_key,
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"query": query,
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"search_depth": "basic",
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"max_results": num_results,
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"include_answer": False,
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"include_raw_content": False,
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}
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r = self._client.post("https://api.tavily.com/search", json=body)
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if r.status_code != 200:
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raise SearchError(f"Tavily HTTP {r.status_code}: {r.text[:200]}")
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data = r.json()
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out: list[SearchHit] = []
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for item in data.get("results", [])[:num_results]:
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out.append(
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SearchHit(
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title=(item.get("title") or "")[:200],
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url=item.get("url") or "",
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snippet=(item.get("content") or "")[:600],
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)
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)
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return out
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class SearchClient:
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"""统一搜索门面,支持多路由:
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- `search(query)`:通用网页搜索,优先 Exa → 降级 Tavily
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- `patents(query)`:专利检索,走 Serper(Google Patents);失败则通用搜索补刀
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- `scholar(query)`:学术论文,走 Serper Scholar;失败则通用搜索补刀
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- `news(query)`:新闻检索,走 Serper News;失败则通用搜索补刀
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所有客户端都延迟导入 serper_client,避免没装 SERPAPI_KEY 时 import 炸。
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"""
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def __init__(self) -> None:
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self._exa: ExaClient | None = None
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self._tavily: TavilyClient | None = None
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self._serper = None # 惰性实例化
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try:
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self._exa = ExaClient()
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except SearchError:
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pass
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try:
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self._tavily = TavilyClient()
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except SearchError:
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pass
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if not (self._exa or self._tavily):
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raise SearchError(
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"neither EXA_API_KEY nor TAVILY_API_KEY available"
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)
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def _get_serper(self):
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"""惰性创建 SerperClient。没 key 时返回 None。"""
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if self._serper is False:
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return None
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if self._serper is None:
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try:
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from scripts.lib.serper_client import SerperClient
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self._serper = SerperClient()
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except Exception:
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self._serper = False
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return None
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return self._serper
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def close(self) -> None:
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if self._exa:
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self._exa.close()
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if self._tavily:
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self._tavily.close()
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if self._serper and self._serper is not False:
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self._serper.close()
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def __enter__(self) -> "SearchClient":
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return self
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def __exit__(self, *_args: Any) -> None:
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self.close()
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def search(self, query: str, *, num_results: int = 5) -> list[SearchHit]:
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"""通用网页搜索。Exa 首选,Tavily 备选。"""
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if self._exa:
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try:
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return self._exa.search(query, num_results=num_results)
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except SearchError:
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pass
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if self._tavily:
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try:
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return self._tavily.search(query, num_results=num_results)
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except SearchError:
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pass
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return []
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def patents(self, query: str, *, num_results: int = 10) -> list[SearchHit]:
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"""专利检索:Serper 走 Google Patents 最准。降级到通用搜索 + site 限定。"""
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serper = self._get_serper()
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if serper:
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try:
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hits = serper.patents(query, num_results=num_results)
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return [SearchHit(h.title, h.url, h.snippet) for h in hits]
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except Exception:
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pass
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# 降级:通用搜索加 site 限定
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return self.search(f"site:patents.google.com {query}", num_results=num_results)
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def scholar(
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self,
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query: str,
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*,
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num_results: int = 10,
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year_low: int | None = None,
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) -> list[SearchHit]:
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"""学术论文:Serper Scholar 带引用数。降级到通用搜索。"""
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serper = self._get_serper()
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if serper:
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try:
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hits = serper.scholar(query, num_results=num_results, year_low=year_low)
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return [
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SearchHit(
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title=h.title,
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url=h.url,
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snippet=f"{h.snippet} | {h.source} | 引用 {h.cited_by}" if h.cited_by else h.snippet,
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)
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for h in hits
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]
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except Exception:
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pass
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return self.search(query, num_results=num_results)
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def news(
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self,
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query: str,
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*,
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num_results: int = 10,
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time_range: str | None = None,
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) -> list[SearchHit]:
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"""新闻检索:Serper News。降级到通用搜索。"""
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serper = self._get_serper()
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if serper:
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try:
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hits = serper.news(query, num_results=num_results, time_range=time_range)
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return [
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SearchHit(
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title=h.title,
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url=h.url,
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snippet=f"{h.snippet} | {h.source} | {h.date}" if h.date else h.snippet,
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)
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for h in hits
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]
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except Exception:
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pass
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return self.search(query, num_results=num_results)
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if __name__ == "__main__":
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from scripts.lib.zenmux_client import load_secrets
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load_secrets()
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with SearchClient() as c:
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print("--- 通用: Mabwell 迈威生物 ---")
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for h in c.search("Mabwell 迈威生物 biopharmaceutical", num_results=3):
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print(f" {h.title[:80]}")
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print(f" {h.url}")
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print("\n--- 专利: dual-target siRNA ---")
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for h in c.patents("dual-target siRNA GalNAc", num_results=3):
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print(f" {h.title[:80]}")
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print(f" {h.url}")
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print("\n--- Scholar: dual-target RNAi 2024 ---")
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for h in c.scholar("dual-target RNAi drug", num_results=3, year_low=2023):
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print(f" {h.title[:80]}")
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print(f" {h.url}")
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