AdministratorandClaude Opus 4.8
cc99ebba81
后端：新增自包含 deerflow.knowledge 模块（models/repository/schemas/ extractor/sources/markdown_vault/manifest/obsidian_adapter/exporter/ search/service），通过 deps.py 装配为 app.state.knowledge_service， 挂载 /api/knowledge 路由；config.yaml 增加 knowledge 配置段， AppConfig 注册 KnowledgeConfig，ORM 注册 4 张 knowledge_* 表。 前端：新增知识库页面（KnowledgeBasePage/KnowledgeGraphPage）、 core/knowledge api/hooks/types、聊天侧 knowledge-save-trigger， 侧边栏增加「知识库」入口。 知识库为全局共享，不做 user_id 隔离，写入记录 created_by/updated_by 作为审计。 Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
83 lines
2.9 KiB
Python
83 lines
2.9 KiB
Python
"""Normalize knowledge sources from threads / searches / tool results.
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Source items come from a few shapes: backend reference-batches (built by
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``deerflow.runtime.references``), raw search-result payloads, and tool-call
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messages. They are all normalized into :class:`SourceDraft` so the repository
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and frontend see one consistent structure.
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"""
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from __future__ import annotations
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from typing import Any
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from deerflow.knowledge.schemas import SourceDraft
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def _clip(value: Any, limit: int = 2000) -> str | None:
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if value is None:
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return None
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text = str(value).strip()
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if not text:
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return None
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return text[:limit]
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def from_reference_batches(batches: list[dict[str, Any]] | None, *, thread_id: str | None = None, max_items: int = 20) -> list[SourceDraft]:
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"""Convert backend reference-batches into :class:`SourceDraft`."""
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out: list[SourceDraft] = []
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seen: set[str] = set()
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for batch in batches or []:
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msg_id = batch.get("assistant_message_id") or batch.get("id")
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for src in batch.get("sources", []) or []:
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if not isinstance(src, dict):
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continue
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url = _clip(src.get("url"), 1024)
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title = _clip(src.get("title"), 512) or _clip(src.get("source"), 512) or "来源"
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dedup_key = url or f"{title}:{_clip(src.get('snippet'), 80)}"
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if dedup_key in seen:
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continue
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seen.add(dedup_key)
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out.append(
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SourceDraft(
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source_type="search" if url else "tool",
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thread_id=thread_id,
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message_id=_clip(msg_id, 128),
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tool_name=_clip(src.get("skillName"), 128),
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title=title,
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url=url,
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snippet=_clip(src.get("snippet")),
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raw=None,
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)
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)
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if len(out) >= max_items:
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return out
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return out
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def from_search_results(
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query: str,
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results: list[dict[str, Any]] | None,
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*,
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thread_id: str | None = None,
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message_id: str | None = None,
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max_items: int = 20,
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) -> list[SourceDraft]:
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"""Convert raw search results (title/url/snippet) into :class:`SourceDraft`."""
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out: list[SourceDraft] = []
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for item in (results or [])[:max_items]:
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if not isinstance(item, dict):
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continue
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out.append(
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SourceDraft(
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source_type="search",
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thread_id=thread_id,
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message_id=message_id,
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tool_name=_clip(item.get("tool_name") or item.get("tool"), 128),
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title=_clip(item.get("title"), 512) or query[:200],
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url=_clip(item.get("url"), 1024),
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snippet=_clip(item.get("snippet") or item.get("content")),
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raw={k: item.get(k) for k in ("score",) if item.get(k) is not None} or None,
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)
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)
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return out
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