425 lines
14 KiB
Python
425 lines
14 KiB
Python
"""公共 AI 页面路由（/k/**）。
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规则：
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- 零 JS、零 Cookie、零登录、SSR 输出、标准 HTML
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- <meta name="robots" content="noindex,nofollow,noarchive">
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- <meta name="referrer" content="no-referrer">
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- 限流：内存 TokenBucket
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- 统一 404 防存在性探测
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"""
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import json
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from fastapi import APIRouter, Depends, Query, Request, Response
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from fastapi.responses import HTMLResponse, PlainTextResponse
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from sqlalchemy.orm import Session
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from app.api.deps import get_db
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from app.core.errors import NotFoundError, RateLimitedError
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from app.core.rate_limit import check_rate_limit
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from app.core.security import decrypt_token
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from app.services.kb_public_service import KbPublicService
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router = APIRouter(prefix="/k", tags=["public"])
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def _rate_limit(request: Request, token: str) -> None:
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"""限流检查。"""
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ip = request.client.host if request.client else "unknown"
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if not check_rate_limit(token_key=token[:16], ip_key=ip):
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raise RateLimitedError()
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def _robots_meta() -> str:
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return '<meta name="robots" content="noindex,nofollow,noarchive">'
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def _referrer_meta() -> str:
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return '<meta name="referrer" content="no-referrer">'
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# --- 知识库入口（后缀路由必须先于无后缀路由注册）---
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@router.get("/{token}.md")
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def kb_index_markdown(
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token: str,
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request: Request,
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db: Session = Depends(get_db),
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) -> PlainTextResponse:
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"""知识库首页（Markdown）。"""
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_rate_limit(request, token)
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svc = KbPublicService(db)
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kb = svc.get_kb_by_token(token)
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docs, _ = svc.list_documents(kb)
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lines = [f"# {kb.name}", ""]
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if kb.description:
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lines.append(kb.description)
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lines.append("")
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lines.append("## 文档列表")
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lines.append("")
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for doc in docs:
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title = doc.title or doc.original_filename
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lines.append(f"### {title}")
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lines.append(f"- 类型：{doc.file_ext}")
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if doc.description:
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lines.append(f"- 描述：{doc.description}")
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if doc.keywords:
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lines.append(f"- 关键词：{doc.keywords}")
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if doc.content_summary:
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lines.append(f"- 摘要：{doc.content_summary}")
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lines.append(f"- 更新时间：{doc.updated_at}")
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lines.append("")
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return PlainTextResponse(content="\n".join(lines), media_type="text/markdown")
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@router.get("/{token}.txt")
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def kb_index_text(
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token: str,
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request: Request,
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db: Session = Depends(get_db),
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) -> PlainTextResponse:
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"""知识库首页（纯文本）。"""
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_rate_limit(request, token)
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svc = KbPublicService(db)
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kb = svc.get_kb_by_token(token)
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docs, _ = svc.list_documents(kb)
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lines = [kb.name, "=" * len(kb.name), ""]
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if kb.description:
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lines.append(kb.description)
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lines.append("")
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lines.append("文档列表：")
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lines.append("")
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for i, doc in enumerate(docs, 1):
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title = doc.title or doc.original_filename
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lines.append(f"{i}. {title}")
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if doc.description:
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lines.append(f" 描述：{doc.description}")
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if doc.keywords:
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lines.append(f" 关键词：{doc.keywords}")
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lines.append("")
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return PlainTextResponse(content="\n".join(lines), media_type="text/plain")
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@router.get("/{token}.json")
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def kb_index_json(
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token: str,
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request: Request,
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db: Session = Depends(get_db),
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) -> Response:
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"""知识库首页（JSON）。"""
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_rate_limit(request, token)
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svc = KbPublicService(db)
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kb = svc.get_kb_by_token(token)
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docs, _ = svc.list_documents(kb)
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doc_list = []
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for doc in docs:
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doc_list.append({
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"title": doc.title or doc.original_filename,
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"file_type": doc.file_ext,
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"description": doc.description,
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"summary": doc.content_summary,
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"keywords": doc.keywords.split(",") if doc.keywords else [],
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"updated_at": doc.updated_at,
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})
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data = {
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"name": kb.name,
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"description": kb.description,
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"document_count": len(doc_list),
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"documents": doc_list,
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}
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return Response(
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content=json.dumps(data, ensure_ascii=False, indent=2),
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media_type="application/json",
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)
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@router.get("/{token}")
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def kb_index_html(
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token: str,
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request: Request,
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page: int = Query(1, ge=1),
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db: Session = Depends(get_db),
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) -> HTMLResponse:
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"""知识库首页（HTML）。"""
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_rate_limit(request, token)
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svc = KbPublicService(db)
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kb = svc.get_kb_by_token(token)
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docs, total = svc.list_documents(kb, page=page, page_size=50)
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doc_rows = ""
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for doc in docs:
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doc_url = f"/k/{token}/doc/{decrypt_token(doc.doc_token_encrypted) if doc.doc_token_encrypted else ''}"
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keywords_html = f'<span class="keywords">关键词：{doc.keywords}</span>' if doc.keywords else ""
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summary_html = f'<p class="summary">{doc.content_summary or ""}</p>' if doc.content_summary else ""
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status_badge = ""
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if doc.status != "READY":
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status_badge = f' <span class="status-badge">[{doc.status}]</span>'
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doc_rows += f"""
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<div class="doc-item">
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<h3><a href="{doc_url}">{doc.title or doc.original_filename}</a>{status_badge}</h3>
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<p class="meta">类型：{doc.file_ext} | 更新：{doc.updated_at}</p>
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{summary_html}
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{keywords_html}
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</div>
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"""
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total_pages = (total + 49) // 50
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pagination = ""
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if total_pages > 1:
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pagination = f'<p class="pagination">第 {page} / {total_pages} 页</p>'
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html = f"""<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<title>{kb.name}</title>
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{_robots_meta()}
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{_referrer_meta()}
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<style>
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body {{ font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif; max-width: 800px; margin: 0 auto; padding: 20px; line-height: 1.6; }}
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h1 {{ color: #333; }}
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.doc-item {{ border-bottom: 1px solid #eee; padding: 15px 0; }}
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.doc-item h3 {{ margin: 0 0 5px 0; }}
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.doc-item a {{ color: #0066cc; text-decoration: none; }}
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.doc-item a:hover {{ text-decoration: underline; }}
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.meta {{ color: #666; font-size: 0.9em; margin: 5px 0; }}
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.summary {{ color: #444; font-size: 0.95em; margin: 5px 0; }}
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.keywords {{ color: #888; font-size: 0.85em; }}
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.pagination {{ color: #666; font-size: 0.9em; text-align: center; }}
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.status-badge {{ color: #e67e22; font-size: 0.8em; font-weight: normal; }}
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.footer {{ margin-top: 30px; padding-top: 15px; border-top: 1px solid #eee; color: #999; font-size: 0.85em; }}
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</style>
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</head>
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<body>
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<h1>{kb.name}</h1>
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{"<p>" + kb.description + "</p>" if kb.description else ""}
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<h2>文档列表</h2>
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{doc_rows if doc_rows else "<p>暂无文档。</p>"}
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{pagination}
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<div class="footer">
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<p>This page is an AI-readable knowledge base index. Use the document links above to retrieve specific documents.</p>
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<p>本页为 AI 可读知识库目录，请通过上述文档链接获取具体内容。</p>
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</div>
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</body>
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</html>"""
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return HTMLResponse(content=html)
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# --- 单文档访问 ---
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@router.get("/{token}/doc/{doc_token}")
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def doc_page_html(
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token: str,
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doc_token: str,
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request: Request,
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db: Session = Depends(get_db),
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) -> HTMLResponse:
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"""文档页面（HTML）。"""
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_rate_limit(request, token)
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svc = KbPublicService(db)
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kb = svc.get_kb_by_token(token)
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doc = svc.get_document_by_token(kb, doc_token)
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markdown_content = svc.get_document_markdown(doc)
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# Markdown → HTML（简单转换）
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html_content = _markdown_to_html(markdown_content)
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keywords_html = f"<p><strong>关键词：</strong>{doc.keywords}</p>" if doc.keywords else ""
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html = f"""<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<title>{doc.title or doc.original_filename}</title>
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{_robots_meta()}
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{_referrer_meta()}
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<style>
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body {{ font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif; max-width: 800px; margin: 0 auto; padding: 20px; line-height: 1.8; }}
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h1 {{ color: #333; }}
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.meta {{ color: #666; font-size: 0.9em; margin-bottom: 20px; }}
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.content {{ margin-top: 20px; }}
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.content h1, .content h2, .content h3 {{ color: #333; }}
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.content pre {{ background: #f5f5f5; padding: 15px; border-radius: 5px; overflow-x: auto; }}
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.content code {{ background: #f0f0f0; padding: 2px 5px; border-radius: 3px; }}
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.content table {{ border-collapse: collapse; width: 100%; }}
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.content th, .content td {{ border: 1px solid #ddd; padding: 8px; text-align: left; }}
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.content th {{ background: #f5f5f5; }}
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.back {{ margin-top: 30px; }}
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.back a {{ color: #0066cc; }}
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</style>
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</head>
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<body>
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<h1>{doc.title or doc.original_filename}</h1>
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<div class="meta">
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<p>类型：{doc.file_ext} | 更新：{doc.updated_at}</p>
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{"<p><strong>描述：</strong>" + doc.description + "</p>" if doc.description else ""}
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{keywords_html}
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</div>
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<div class="content">
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{html_content}
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</div>
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<div class="back">
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<a href="/k/{token}">← 返回知识库目录</a>
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</div>
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</body>
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</html>"""
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return HTMLResponse(content=html)
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@router.get("/{token}/doc/{doc_token}.md")
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def doc_page_markdown(
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token: str,
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doc_token: str,
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request: Request,
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db: Session = Depends(get_db),
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) -> PlainTextResponse:
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"""文档（Markdown）。"""
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_rate_limit(request, token)
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svc = KbPublicService(db)
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kb = svc.get_kb_by_token(token)
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doc = svc.get_document_by_token(kb, doc_token)
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markdown_content = svc.get_document_markdown(doc)
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return PlainTextResponse(content=markdown_content, media_type="text/markdown")
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@router.get("/{token}/doc/{doc_token}.txt")
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def doc_page_text(
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token: str,
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doc_token: str,
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request: Request,
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db: Session = Depends(get_db),
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) -> PlainTextResponse:
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"""文档（纯文本）。"""
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_rate_limit(request, token)
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svc = KbPublicService(db)
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kb = svc.get_kb_by_token(token)
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doc = svc.get_document_by_token(kb, doc_token)
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markdown_content = svc.get_document_markdown(doc)
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# 去掉 Markdown 标记
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import re
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text = re.sub(r"[#*_`\[\]()>]", "", markdown_content)
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text = re.sub(r"\n{3,}", "\n\n", text)
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return PlainTextResponse(content=text.strip(), media_type="text/plain")
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# --- 搜索 ---
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@router.get("/{token}/search")
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def search_html(
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token: str,
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q: str = Query(..., min_length=1),
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page: int = Query(1, ge=1),
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request: Request = None,
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db: Session = Depends(get_db),
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) -> HTMLResponse:
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"""搜索文档（HTML）。"""
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_rate_limit(request, token)
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svc = KbPublicService(db)
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kb = svc.get_kb_by_token(token)
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results, total = svc.search_documents(kb, q, page=page)
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result_items = ""
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for item in results:
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doc_url = f"/k/{token}/doc/{item['url_hint'] or ''}"
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result_items += f"""
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<div class="result-item">
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<h3><a href="{doc_url}">{item['title']}</a></h3>
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<p class="meta">类型：{item['file_type']} | 更新：{item['updated_at']}</p>
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{"<p>" + (item.get('description') or '') + "</p>"}
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</div>
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"""
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html = f"""<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<title>搜索：{q} - {kb.name}</title>
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{_robots_meta()}
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{_referrer_meta()}
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<style>
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body {{ font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif; max-width: 800px; margin: 0 auto; padding: 20px; line-height: 1.6; }}
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.result-item {{ border-bottom: 1px solid #eee; padding: 15px 0; }}
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.result-item a {{ color: #0066cc; text-decoration: none; }}
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.meta {{ color: #666; font-size: 0.9em; }}
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</style>
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</head>
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<body>
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<h1>搜索：{q}</h1>
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<p>共找到 {total} 个结果</p>
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{result_items if result_items else "<p>未找到相关文档。</p>"}
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<p><a href="/k/{token}">← 返回知识库目录</a></p>
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</body>
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</html>"""
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return HTMLResponse(content=html)
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@router.get("/{token}/search.json")
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def search_json(
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token: str,
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q: str = Query(..., min_length=1),
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page: int = Query(1, ge=1),
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request: Request = None,
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db: Session = Depends(get_db),
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) -> Response:
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"""搜索文档（JSON）。"""
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_rate_limit(request, token)
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svc = KbPublicService(db)
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kb = svc.get_kb_by_token(token)
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results, total = svc.search_documents(kb, q, page=page)
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data = {
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"query": q,
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"total": total,
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"results": results,
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}
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return Response(
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content=json.dumps(data, ensure_ascii=False, indent=2),
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media_type="application/json",
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)
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def _markdown_to_html(markdown: str) -> str:
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"""简单 Markdown → HTML 转换（安全处理）。"""
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import re
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# 转义 HTML 特殊字符
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html = markdown.replace("&", "&").replace("<", "<").replace(">", ">")
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# 标题
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html = re.sub(r"^#### (.+)$", r"<h4>\1</h4>", html, flags=re.MULTILINE)
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html = re.sub(r"^### (.+)$", r"<h3>\1</h3>", html, flags=re.MULTILINE)
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html = re.sub(r"^## (.+)$", r"<h2>\1</h2>", html, flags=re.MULTILINE)
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html = re.sub(r"^# (.+)$", r"<h1>\1</h1>", html, flags=re.MULTILINE)
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# 粗体/斜体
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html = re.sub(r"\*\*(.+?)\*\*", r"<strong>\1</strong>", html)
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html = re.sub(r"\*(.+?)\*", r"<em>\1</em>", html)
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# 代码块
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html = re.sub(r"```[\s\S]*?```", lambda m: f"<pre><code>{m.group(0)[3:-3]}</code></pre>", html)
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# 行内代码
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html = re.sub(r"`([^`]+)`", r"<code>\1</code>", html)
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# 段落（双换行 → <p>）
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html = re.sub(r"\n\n+", "</p><p>", html)
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html = f"<p>{html}</p>"
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return html
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