feat(kb): 入库可视化做厚 —— 文件解析/知识抽取过程 + 力导向知识图谱
把"进度条"升级成可观测的入库工作台，回应三点诉求：解析过程、知识抽取过程、丰富图谱。 - contract: IngestEvent 加 Preview（解析文本预览）+ Triples[]TripleView（抽出的三元组）。 - 后端回流：rag.Ingest 抽实体阶段把 LLM 抽出的三元组实时回流（边出现边渲染）； gateway 解析完成回流文件类型 + 文本预览片段。 - 前端 GraphView.tsx：零依赖自建力导向布局（斥力+边弹簧+居中静态收敛），实体=节点 按度着色（枢纽紫/关联青/叶子）、关系=带标签边、hover 高亮邻域、节点过多按度裁剪。 - 前端 KbView 重做：入库从"阶段徽标+进度条"→竖向时间线（解析预览/切块块/向量化进度/ 抽取知识三元组 chips + 实时小图谱逐步浮现）；右侧知识图谱从扁平列表→GraphView， 入库完成自动刷新整库图谱。 验证(Preview)：入库一段多事实文本 → 时间线逐阶段点亮、抽出 17 条三元组实时浮现、 右侧力导向图渲染 sundynix-agentix/知识库 为枢纽 + 带标签关系边。tsc+vite+后端 build 通过。 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Blizzard
@@ -0,0 +1,169 @@
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import { useMemo, useState } from "react";
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import { Network } from "lucide-react";
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import type { Triple } from "../lib/api";
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import { EmptyState } from "../ui";
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interface GNode {
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id: string;
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x: number;
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y: number;
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deg: number;
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}
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interface GEdge {
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s: string;
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o: string;
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p: string;
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}
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// layout 用一个轻量力导向模拟（斥力 + 边弹簧 + 居中）把三元组排成图。
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// 静态收敛（useMemo 内跑固定迭代），零依赖；节点过多时按度裁剪。
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function layout(triples: Triple[], W: number, H: number): { nodes: GNode[]; edges: GEdge[] } {
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const deg = new Map<string, number>();
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for (const t of triples) {
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if (!t.s || !t.o) continue;
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deg.set(t.s, (deg.get(t.s) ?? 0) + 1);
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deg.set(t.o, (deg.get(t.o) ?? 0) + 1);
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}
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// 裁剪：实体过多只留度最高的 N 个，保留两端都在集合内的边。
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let names = [...deg.keys()];
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const CAP = 60;
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if (names.length > CAP) {
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names = names.sort((a, b) => (deg.get(b)! - deg.get(a)!)).slice(0, CAP);
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}
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const keep = new Set(names);
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const edges = triples.filter((t) => keep.has(t.s) && keep.has(t.o)).map((t) => ({ s: t.s, o: t.o, p: t.p }));
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const nodes = new Map<string, GNode>();
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const R = Math.min(W, H) * 0.36;
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names.forEach((n, i) => {
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const a = (2 * Math.PI * i) / names.length;
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// 初始撒在圆周上（确定性，避免每次重排抖动）。
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nodes.set(n, { id: n, x: W / 2 + Math.cos(a) * R, y: H / 2 + Math.sin(a) * R, deg: deg.get(n)! });
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});
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const arr = [...nodes.values()];
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for (let it = 0; it < 320; it++) {
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// 斥力（库仑）
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for (let i = 0; i < arr.length; i++) {
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for (let j = i + 1; j < arr.length; j++) {
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const a = arr[i],
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b = arr[j];
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let dx = a.x - b.x,
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dy = a.y - b.y;
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let d2 = dx * dx + dy * dy;
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if (d2 < 1) {
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d2 = 1;
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dx = 1;
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}
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const d = Math.sqrt(d2);
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const f = 2600 / d2;
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a.x += (dx / d) * f;
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a.y += (dy / d) * f;
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b.x -= (dx / d) * f;
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b.y -= (dy / d) * f;
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}
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}
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// 边弹簧（理想长度 ~96）
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for (const e of edges) {
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const a = nodes.get(e.s)!,
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b = nodes.get(e.o)!;
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const dx = b.x - a.x,
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dy = b.y - a.y;
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const d = Math.sqrt(dx * dx + dy * dy) || 1;
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const f = (d - 96) * 0.012;
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a.x += (dx / d) * f;
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a.y += (dy / d) * f;
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b.x -= (dx / d) * f;
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b.y -= (dy / d) * f;
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}
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// 轻微居中 + 边界约束
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for (const a of arr) {
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a.x += (W / 2 - a.x) * 0.004;
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a.y += (H / 2 - a.y) * 0.004;
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a.x = Math.max(20, Math.min(W - 20, a.x));
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a.y = Math.max(16, Math.min(H - 16, a.y));
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}
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}
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return { nodes: arr, edges };
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}
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function nodeColor(deg: number): { fill: string; text: string } {
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if (deg >= 4) return { fill: "#8b5cf6", text: "#ede9fe" }; // 枢纽：brand
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if (deg >= 2) return { fill: "#22d3ee", text: "#083344" }; // 次枢纽：accent
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return { fill: "#1a1f2d", text: "#cbd5e1" }; // 叶子
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}
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// GraphView 把知识三元组渲染为力导向图（实体=节点，关系=带标签的边），hover 高亮邻域。
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export function GraphView({ triples, height = 360 }: { triples: Triple[]; height?: number }) {
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const W = 560;
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const H = height;
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const [hover, setHover] = useState<string | null>(null);
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const { nodes, edges } = useMemo(() => layout(triples, W, H), [triples, H]);
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const pos = useMemo(() => new Map(nodes.map((n) => [n.id, n])), [nodes]);
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if (triples.length === 0) {
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return <EmptyState icon={Network} title="暂无图谱" desc="入库文本后，LLM 会抽取实体与关系，这里渲染为可交互的知识图谱。" />;
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}
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const neighbors = (id: string) => {
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const s = new Set<string>([id]);
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for (const e of edges) {
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if (e.s === id) s.add(e.o);
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if (e.o === id) s.add(e.s);
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}
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return s;
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};
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const active = hover ? neighbors(hover) : null;
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const nodeOn = (id: string) => !active || active.has(id);
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const edgeOn = (e: GEdge) => !hover || e.s === hover || e.o === hover;
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return (
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<div className="flex flex-col gap-2">
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<svg viewBox={`0 0 ${W} ${H}`} className="w-full rounded-md border border-line bg-ink-950/60" style={{ height }}>
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{edges.map((e, i) => {
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const a = pos.get(e.s)!,
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b = pos.get(e.o)!;
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if (!a || !b) return null;
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const on = edgeOn(e);
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const mx = (a.x + b.x) / 2,
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my = (a.y + b.y) / 2;
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return (
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<g key={i} opacity={on ? 1 : 0.12}>
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<line x1={a.x} y1={a.y} x2={b.x} y2={b.y} stroke="#39435a" strokeWidth={1} />
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{on && (
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<text x={mx} y={my - 2} fill="#7c8aa5" fontSize={8.5} textAnchor="middle">
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{e.p}
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</text>
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)}
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</g>
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);
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})}
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{nodes.map((n) => {
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const c = nodeColor(n.deg);
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const r = Math.min(7 + n.deg * 1.6, 16);
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const on = nodeOn(n.id);
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return (
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<g
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key={n.id}
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opacity={on ? 1 : 0.2}
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onMouseEnter={() => setHover(n.id)}
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onMouseLeave={() => setHover(null)}
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style={{ cursor: "pointer" }}
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>
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<circle cx={n.x} cy={n.y} r={r} fill={c.fill} stroke={hover === n.id ? "#fff" : "#0b0d12"} strokeWidth={hover === n.id ? 2 : 1.5} />
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<text x={n.x} y={n.y + r + 9} fill="#cbd5e1" fontSize={9.5} textAnchor="middle">
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{n.id.length > 10 ? n.id.slice(0, 10) + "…" : n.id}
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</text>
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</g>
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);
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})}
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</svg>
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<div className="flex items-center gap-3 px-1 text-[10px] text-slate-500">
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<span>{nodes.length} 实体 · {edges.length} 关系</span>
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<span className="flex items-center gap-1"><span className="h-2 w-2 rounded-full" style={{ background: "#8b5cf6" }} /> 枢纽</span>
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<span className="flex items-center gap-1"><span className="h-2 w-2 rounded-full" style={{ background: "#22d3ee" }} /> 关联</span>
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<span className="ml-auto">悬停高亮邻域</span>
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</div>
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</div>
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);
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}
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@@ -86,6 +86,8 @@ export interface IngestEvent {
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done?: number;
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total?: number;
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chunks?: string[];
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preview?: string; // 解析阶段：解析出的文本片段
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triples?: Triple[]; // 抽实体阶段：LLM 抽出的知识三元组
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error?: string;
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}
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@@ -1,6 +1,21 @@
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import { useRef, useState } from "react";
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import { Upload, Search, Network, FileUp } from "lucide-react";
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import {
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Upload,
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FileUp,
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Search,
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Network,
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Database,
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FileText,
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Scissors,
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Sparkles,
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Share2,
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CheckCircle2,
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XCircle,
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Loader2,
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type LucideIcon,
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} from "lucide-react";
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import { ingestKb, ingestFile, streamIngest, searchKb, graphKb, type IngestEvent, type KbHit, type Triple } from "../lib/api";
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import { GraphView } from "../components/GraphView";
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import { Button, Input, Textarea, Badge, cn, useToast } from "../ui";
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interface IngestLog {
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@@ -8,17 +23,50 @@ interface IngestLog {
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msg: string;
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ok: boolean;
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}
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interface Step {
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stage: string;
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msg: string;
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}
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interface Progress {
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active: boolean;
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stage: string;
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done?: number;
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total?: number;
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chunks: string[];
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preview?: string;
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triples: Triple[];
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error?: string;
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steps: Step[];
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vecDone?: number;
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vecTotal?: number;
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}
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// 知识库管理：实时入库监控（解析→切块→向量化→写入 + 拆分可视化）+ 检索调试台。
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// 阶段元数据：图标 + 中文标签（与后端 IngestEvent.stage 对应）。
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const STAGE: Record<string, { icon: LucideIcon; label: string }> = {
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解析: { icon: Upload, label: "解析文件" },
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解析完成: { icon: FileText, label: "解析完成" },
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切块: { icon: Scissors, label: "切块" },
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向量化: { icon: Sparkles, label: "向量化" },
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写Milvus: { icon: Database, label: "写入向量库" },
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写Bleve: { icon: Search, label: "写入全文索引" },
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抽实体: { icon: Network, label: "抽取知识" },
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写Neo4j: { icon: Share2, label: "写入图谱" },
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完成: { icon: CheckCircle2, label: "完成" },
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失败: { icon: XCircle, label: "失败" },
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};
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function dedupTriples(ts: Triple[]): Triple[] {
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const seen = new Set<string>();
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const out: Triple[] = [];
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for (const t of ts) {
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const k = `${t.s}|${t.p}|${t.o}`;
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if (!seen.has(k)) {
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seen.add(k);
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out.push(t);
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}
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}
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return out;
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}
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// 知识库管理：实时入库时间线（解析预览 / 切块 / 向量化 / 知识抽取实时浮现）+ 力导向知识图谱 + 混合检索。
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export function KbView() {
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const toast = useToast();
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const [kb, setKb] = useState("docs");
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@@ -46,25 +94,42 @@ export function KbView() {
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const ingesting = prog?.active ?? false;
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const follow = (job: string, label: string) => {
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setProg({ active: true, stage: "提交", chunks: [] });
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setProg({ active: true, stage: "提交", chunks: [], triples: [], steps: [{ stage: "提交", msg: label }] });
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streamIngest(
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job,
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(ev: IngestEvent) =>
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setProg((p) => ({
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active: ev.stage !== "完成" && ev.stage !== "失败",
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stage: ev.stage,
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done: ev.done ?? p?.done,
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total: ev.total ?? p?.total,
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chunks: ev.chunks ?? p?.chunks ?? [],
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error: ev.error,
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})),
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() =>
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setProg((p) => {
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const base: Progress = p ?? { active: true, stage: "提交", chunks: [], triples: [], steps: [] };
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const steps = [...base.steps];
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const i = steps.findIndex((s) => s.stage === ev.stage);
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const msg = ev.msg ?? (i >= 0 ? steps[i].msg : "");
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if (i >= 0) steps[i] = { stage: ev.stage, msg };
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else steps.push({ stage: ev.stage, msg });
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return {
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active: ev.stage !== "完成" && ev.stage !== "失败",
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stage: ev.stage,
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chunks: ev.chunks ?? base.chunks,
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preview: ev.preview ?? base.preview,
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triples: ev.triples?.length ? dedupTriples([...base.triples, ...ev.triples]) : base.triples,
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error: ev.error,
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steps,
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vecDone: ev.stage === "向量化" ? ev.done : base.vecDone,
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vecTotal: ev.stage === "向量化" ? ev.total : base.vecTotal,
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};
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}),
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() => {
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setProg((p) => {
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const ok = p?.stage !== "失败";
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setLogs((l) => [{ t: stamp(), msg: ok ? `${label}：${p?.total ?? 0} 块入库完成` : `${label}：${p?.error ?? "失败"}`, ok }, ...l]);
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toast.push(ok ? "success" : "error", ok ? `${label} 入库完成` : `${label} 入库失败`);
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setLogs((l) => [{ t: stamp(), msg: ok ? `${label}：入库完成` : `${label}：${p?.error ?? "失败"}`, ok }, ...l]);
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if (ok) {
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toast.push("success", `${label} 入库完成`);
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void onGraph(); // 刷新右侧知识图谱（含新抽取的实体关系）
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} else {
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toast.push("error", `${label} 入库失败`);
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}
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return p ? { ...p, active: false } : null;
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}),
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});
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},
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() => setProg((p) => (p ? { ...p, active: false, stage: "连接中断" } : null)),
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);
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};
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@@ -105,19 +170,20 @@ export function KbView() {
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}
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};
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const pct = prog?.total ? Math.round(((prog.done ?? 0) / prog.total) * 100) : 0;
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const vecPct = prog?.vecTotal ? Math.round(((prog.vecDone ?? 0) / prog.vecTotal) * 100) : 0;
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const graphData = graph ?? prog?.triples ?? null;
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return (
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<div className="flex h-full flex-col">
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<div className="flex items-center gap-2 border-b border-line bg-ink-900 px-4 py-2">
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<span className="text-sm font-semibold text-slate-300">知识库</span>
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<Input className="h-8 w-40" value={kb} onChange={(e) => setKb(e.target.value)} placeholder="知识库名" title="知识库（Milvus kb 字段分区）" />
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<span className="text-[11px] text-slate-500">入库 → 解析 / 切块 / 向量化 / 写入；检索 → 混合召回</span>
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<span className="text-[11px] text-slate-500">入库 → 解析 / 切块 / 向量化 / 抽取知识 / 写入；检索 → 三路混合召回</span>
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</div>
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<div className="flex min-h-0 flex-1">
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{/* 左：入库 + 实时监控 */}
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<section className="flex w-1/2 flex-col border-r border-line p-4">
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{/* 左：入库 + 实时时间线 */}
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<section className="flex w-1/2 flex-col overflow-y-auto border-r border-line p-4">
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<h3 className="mb-2 text-xs font-semibold text-slate-400">入库</h3>
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<div
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onDragOver={(e) => {
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@@ -133,7 +199,7 @@ export function KbView() {
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}}
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className={cn("relative rounded-md", dragOver && "ring-2 ring-brand")}
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>
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<Textarea className="h-24 w-full resize-none" value={text} onChange={(e) => setText(e.target.value)} placeholder="每行一条知识，或把文件拖到这里 / 点选择文件" />
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<Textarea className="h-20 w-full resize-none" value={text} onChange={(e) => setText(e.target.value)} placeholder="每行一条知识，或把文件拖到这里 / 点选择文件" />
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{dragOver && (
|
||||
<div className="pointer-events-none absolute inset-0 flex items-center justify-center rounded-md bg-ink-950/85 text-xs font-medium text-brand-400">
|
||||
松手以入库该文件
|
||||
@@ -148,71 +214,14 @@ export function KbView() {
|
||||
<Button size="sm" icon={FileUp} onClick={() => fileRef.current?.click()} disabled={ingesting}>
|
||||
选择文件
|
||||
</Button>
|
||||
<input
|
||||
ref={fileRef}
|
||||
type="file"
|
||||
accept=".txt,.md,.csv,.docx,.xlsx,.pdf"
|
||||
onChange={(e) => onFile(e.target.files?.[0])}
|
||||
disabled={ingesting}
|
||||
className="hidden"
|
||||
/>
|
||||
<input ref={fileRef} type="file" accept=".txt,.md,.csv,.docx,.xlsx,.pdf" onChange={(e) => onFile(e.target.files?.[0])} disabled={ingesting} className="hidden" />
|
||||
</div>
|
||||
<span className="mt-1 text-[10px] text-slate-500">支持 txt/md/csv/docx/xlsx/pdf（docx/xlsx/pdf 经 mcp-py 解析）</span>
|
||||
|
||||
{/* 实时流水线进度 */}
|
||||
{prog && (
|
||||
<div className="mt-3 rounded-lg border border-line bg-ink-850 p-2.5">
|
||||
<div className="flex flex-wrap items-center gap-1.5">
|
||||
{["解析", "切块", "向量化", "写Milvus", "写Bleve", "完成"].map((s) => {
|
||||
const active = prog.stage.startsWith(s) || (s === "完成" && prog.stage === "完成");
|
||||
const passed = stageOrder(prog.stage) > stageOrder(s);
|
||||
return (
|
||||
<span
|
||||
key={s}
|
||||
className={cn(
|
||||
"rounded px-1.5 py-0.5 text-[10px]",
|
||||
prog.stage === "失败"
|
||||
? "bg-ink-800 text-slate-600"
|
||||
: active
|
||||
? "bg-brand text-white shadow-glow"
|
||||
: passed
|
||||
? "bg-success/15 text-success"
|
||||
: "bg-ink-800 text-slate-600",
|
||||
)}
|
||||
>
|
||||
{s}
|
||||
</span>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
{prog.error && <p className="mt-1 text-[11px] text-danger">✗ {prog.error}</p>}
|
||||
{prog.total ? (
|
||||
<div className="mt-2">
|
||||
<div className="h-1.5 w-full overflow-hidden rounded-full bg-ink-700">
|
||||
<div className="h-full rounded-full bg-gradient-to-r from-brand to-accent transition-all" style={{ width: `${pct}%` }} />
|
||||
</div>
|
||||
<div className="mt-1 text-[10px] text-slate-500">
|
||||
向量化 {prog.done ?? 0}/{prog.total} 块（{pct}%）
|
||||
</div>
|
||||
</div>
|
||||
) : null}
|
||||
{prog.chunks.length > 0 && (
|
||||
<div className="mt-2">
|
||||
<div className="text-[10px] font-medium text-slate-500">拆分 {prog.chunks.length} 块：</div>
|
||||
<ul className="mt-1 max-h-24 space-y-0.5 overflow-auto">
|
||||
{prog.chunks.map((c, i) => (
|
||||
<li key={i} className="truncate rounded bg-ink-800 px-1.5 py-0.5 text-[10px] text-slate-400">
|
||||
<span className="text-slate-600">#{i + 1}</span> {c}
|
||||
</li>
|
||||
))}
|
||||
</ul>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
{prog && <Timeline prog={prog} vecPct={vecPct} />}
|
||||
|
||||
<h3 className="mb-1 mt-4 text-xs font-semibold text-slate-400">入库历史</h3>
|
||||
<ul className="flex-1 space-y-1 overflow-auto">
|
||||
<ul className="space-y-1">
|
||||
{logs.length === 0 && <li className="text-xs text-slate-600">尚无入库记录。</li>}
|
||||
{logs.map((l, i) => (
|
||||
<li key={i} className={cn("text-xs", l.ok ? "text-success" : "text-danger")}>
|
||||
@@ -222,8 +231,8 @@ export function KbView() {
|
||||
</ul>
|
||||
</section>
|
||||
|
||||
{/* 右：检索调试台 */}
|
||||
<section className="flex w-1/2 flex-col p-4">
|
||||
{/* 右：检索台 + 知识图谱 */}
|
||||
<section className="flex w-1/2 flex-col overflow-y-auto p-4">
|
||||
<h3 className="mb-2 text-xs font-semibold text-slate-400">检索调试台（混合召回 + rerank）</h3>
|
||||
<div className="flex gap-2">
|
||||
<Input className="flex-1" value={q} onChange={(e) => setQ(e.target.value)} onKeyDown={(e) => e.key === "Enter" && onSearch()} placeholder="输入查询，语义召回相关片段…" />
|
||||
@@ -232,7 +241,7 @@ export function KbView() {
|
||||
{searching ? "检索中…" : "检索"}
|
||||
</Button>
|
||||
</div>
|
||||
<ul className="mt-3 max-h-[40%] space-y-2 overflow-auto">
|
||||
<ul className="mt-3 space-y-2">
|
||||
{hits === null && <li className="text-xs text-slate-600">输入查询后展示命中片段与分数。</li>}
|
||||
{hits !== null && hits.length === 0 && <li className="text-xs text-slate-600">无命中（知识库为空或 RAG 未配置）。</li>}
|
||||
{hits?.map((h, i) => (
|
||||
@@ -247,32 +256,100 @@ export function KbView() {
|
||||
))}
|
||||
</ul>
|
||||
|
||||
{/* 知识图谱（Neo4j / GraphRAG） */}
|
||||
<div className="mt-3 flex items-center justify-between border-t border-line pt-2">
|
||||
<h3 className="text-xs font-semibold text-slate-400">知识图谱（Neo4j）</h3>
|
||||
<div className="mt-4 flex items-center justify-between border-t border-line pt-3">
|
||||
<h3 className="text-xs font-semibold text-slate-400">知识图谱（Neo4j · 力导向）</h3>
|
||||
<Button size="sm" icon={Network} onClick={onGraph}>
|
||||
查看图谱
|
||||
</Button>
|
||||
</div>
|
||||
<ul className="mt-2 flex-1 space-y-1 overflow-auto">
|
||||
{graph === null && <li className="text-[11px] text-slate-600">点「查看图谱」展示入库抽取的实体关系。</li>}
|
||||
{graph !== null && graph.length === 0 && <li className="text-[11px] text-slate-600">该库暂无图谱（需配置 chat 模型 + 入库触发抽取）。</li>}
|
||||
{graph?.map((t, i) => (
|
||||
<li key={i} className="flex items-center gap-1 text-[11px]">
|
||||
<Badge tone="warn">{t.s}</Badge>
|
||||
<span className="text-slate-500">—{t.p}→</span>
|
||||
<Badge tone="success">{t.o}</Badge>
|
||||
</li>
|
||||
))}
|
||||
</ul>
|
||||
<div className="mt-2">
|
||||
<GraphView triples={graphData ?? []} />
|
||||
</div>
|
||||
</section>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
const STAGES = ["解析", "解析完成", "切块", "向量化", "写Milvus", "写Bleve", "完成"];
|
||||
function stageOrder(stage: string): number {
|
||||
const i = STAGES.findIndex((s) => stage.startsWith(s));
|
||||
return i < 0 ? -1 : i;
|
||||
// Timeline 渲染入库各阶段：状态灯 + 标签 + 详情；解析预览、切块块、抽取的知识三元组逐步呈现。
|
||||
function Timeline({ prog, vecPct }: { prog: Progress; vecPct: number }) {
|
||||
return (
|
||||
<div className="mt-3 rounded-lg border border-line bg-ink-850 p-3">
|
||||
<ol className="relative ml-1 space-y-2 border-l border-line pl-4">
|
||||
{prog.steps.map((s, i) => {
|
||||
const meta = STAGE[s.stage] ?? { icon: Loader2, label: s.stage };
|
||||
const Icon = meta.icon;
|
||||
const isLast = i === prog.steps.length - 1;
|
||||
const isErr = prog.error && s.stage === "失败";
|
||||
const status = isErr ? "error" : isLast && prog.active ? "active" : "done";
|
||||
return (
|
||||
<li key={i} className="relative">
|
||||
<span className="absolute -left-[21px] top-0.5 flex h-3.5 w-3.5 items-center justify-center rounded-full bg-ink-850">
|
||||
{status === "active" ? (
|
||||
<Loader2 className="h-3.5 w-3.5 animate-spin text-accent-400" />
|
||||
) : status === "error" ? (
|
||||
<XCircle className="h-3.5 w-3.5 text-danger" />
|
||||
) : (
|
||||
<CheckCircle2 className="h-3.5 w-3.5 text-success" />
|
||||
)}
|
||||
</span>
|
||||
<div className="flex items-center gap-2">
|
||||
<Icon className="h-3.5 w-3.5 text-slate-400" />
|
||||
<span className="text-xs font-medium text-slate-200">{meta.label}</span>
|
||||
{s.msg && <span className="text-[11px] text-slate-500">{s.msg}</span>}
|
||||
</div>
|
||||
|
||||
{/* 向量化进度条 */}
|
||||
{s.stage === "向量化" && prog.vecTotal ? (
|
||||
<div className="mt-1">
|
||||
<div className="h-1.5 w-full overflow-hidden rounded-full bg-ink-700">
|
||||
<div className="h-full rounded-full bg-gradient-to-r from-brand to-accent transition-all" style={{ width: `${vecPct}%` }} />
|
||||
</div>
|
||||
<div className="mt-0.5 text-[10px] text-slate-500">{prog.vecDone ?? 0}/{prog.vecTotal} 块（{vecPct}%）</div>
|
||||
</div>
|
||||
) : null}
|
||||
|
||||
{/* 解析预览 */}
|
||||
{s.stage === "解析完成" && prog.preview ? (
|
||||
<p className="mt-1 max-h-16 overflow-hidden rounded bg-ink-900 px-2 py-1 text-[11px] leading-relaxed text-slate-400">{prog.preview}</p>
|
||||
) : null}
|
||||
|
||||
{/* 切块预览 */}
|
||||
{s.stage === "切块" && prog.chunks.length > 0 ? (
|
||||
<ul className="mt-1 max-h-20 space-y-0.5 overflow-auto">
|
||||
{prog.chunks.map((c, j) => (
|
||||
<li key={j} className="truncate rounded bg-ink-900 px-1.5 py-0.5 text-[10px] text-slate-400">
|
||||
<span className="text-slate-600">#{j + 1}</span> {c}
|
||||
</li>
|
||||
))}
|
||||
</ul>
|
||||
) : null}
|
||||
</li>
|
||||
);
|
||||
})}
|
||||
</ol>
|
||||
|
||||
{/* 抽取出的知识：三元组 chips + 实时小图谱 */}
|
||||
{prog.triples.length > 0 && (
|
||||
<div className="mt-3 border-t border-line pt-2">
|
||||
<div className="mb-1.5 flex items-center gap-1.5 text-[11px] font-medium text-slate-400">
|
||||
<Network className="h-3.5 w-3.5 text-brand-400" /> 抽取出的知识（{prog.triples.length} 条三元组）
|
||||
</div>
|
||||
<div className="flex flex-wrap gap-1">
|
||||
{prog.triples.slice(0, 12).map((t, i) => (
|
||||
<span key={i} className="inline-flex items-center gap-1 rounded bg-ink-900 px-1.5 py-0.5 text-[10px]">
|
||||
<span className="text-brand-400">{t.s}</span>
|
||||
<span className="text-slate-600">{t.p}</span>
|
||||
<span className="text-accent-400">{t.o}</span>
|
||||
</span>
|
||||
))}
|
||||
{prog.triples.length > 12 && <span className="px-1 text-[10px] text-slate-600">+{prog.triples.length - 12}</span>}
|
||||
</div>
|
||||
<div className="mt-2">
|
||||
<GraphView triples={prog.triples} height={200} />
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
@@ -7,6 +7,7 @@ import (
|
||||
"encoding/hex"
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"fmt"
|
||||
"io"
|
||||
"net/http"
|
||||
"path/filepath"
|
||||
@@ -74,7 +75,11 @@ func (h *Handler) runIngest(job, kb, filename string, data []byte, rawText strin
|
||||
_ = h.bus.CompleteStream(job)
|
||||
return
|
||||
}
|
||||
emit(contract.IngestEvent{Stage: "解析完成", Msg: "解析出 " + itoa(len([]rune(parsed))) + " 字"})
|
||||
emit(contract.IngestEvent{
|
||||
Stage: "解析完成",
|
||||
Msg: fmt.Sprintf("%s · 解析出 %d 字", fileKind(filename), len([]rune(parsed))),
|
||||
Preview: head(parsed, 240),
|
||||
})
|
||||
text = parsed
|
||||
}
|
||||
|
||||
@@ -157,6 +162,34 @@ func itoa(n int) string {
|
||||
return string(b)
|
||||
}
|
||||
|
||||
// head 取文本前 n 个字符（按 rune），用于解析预览。
|
||||
func head(s string, n int) string {
|
||||
s = strings.TrimSpace(s)
|
||||
r := []rune(s)
|
||||
if len(r) <= n {
|
||||
return s
|
||||
}
|
||||
return string(r[:n]) + "…"
|
||||
}
|
||||
|
||||
// fileKind 由扩展名给出可读的文件类型标签。
|
||||
func fileKind(filename string) string {
|
||||
switch strings.ToLower(filepath.Ext(filename)) {
|
||||
case ".docx":
|
||||
return "Word 文档"
|
||||
case ".xlsx", ".xls":
|
||||
return "Excel 表格"
|
||||
case ".pdf":
|
||||
return "PDF"
|
||||
case ".csv":
|
||||
return "CSV"
|
||||
case ".md", ".markdown":
|
||||
return "Markdown"
|
||||
default:
|
||||
return "文本"
|
||||
}
|
||||
}
|
||||
|
||||
// parseFile 把文件字节转为纯文本：文本类直读，其余经 mcp-py parse_document（算法层）。
|
||||
func (h *Handler) parseFile(ctx context.Context, filename string, data []byte) (string, error) {
|
||||
switch strings.ToLower(filepath.Ext(filename)) {
|
||||
|
||||
@@ -153,11 +153,17 @@ func (e *Engine) Ingest(ctx context.Context, kb, text string, onProgress func(co
|
||||
|
||||
// 图谱路：LLM 抽实体/关系 → Neo4j（可降级，不阻断向量入库）。
|
||||
if e.graph.ready() && e.chatClient().ready() {
|
||||
emit(contract.IngestEvent{Stage: "抽实体", Msg: "LLM 抽取知识三元组"})
|
||||
emit(contract.IngestEvent{Stage: "抽实体", Msg: "LLM 正在抽取知识三元组…"})
|
||||
triples, terr := extractTriples(ctx, e.chatClient(), text)
|
||||
if terr != nil {
|
||||
log.Printf("[rag] 三元组抽取失败（图谱降级）: %v", terr)
|
||||
} else if len(triples) > 0 {
|
||||
// 把抽出的三元组实时回流给 UI（边出现边渲染图谱）。
|
||||
tv := make([]contract.TripleView, len(triples))
|
||||
for i, t := range triples {
|
||||
tv[i] = contract.TripleView{S: t.S, P: t.P, O: t.O}
|
||||
}
|
||||
emit(contract.IngestEvent{Stage: "抽实体", Total: len(triples), Triples: tv, Msg: "抽出 " + itoa(len(triples)) + " 条知识三元组"})
|
||||
emit(contract.IngestEvent{Stage: "写Neo4j", Total: len(triples), Msg: itoa(len(triples)) + " 条三元组写入图谱"})
|
||||
if n, gerr := e.graph.store(ctx, kb, triples); gerr != nil {
|
||||
log.Printf("[rag] 写 Neo4j 失败（图谱降级）: %v", gerr)
|
||||
|
||||
@@ -67,14 +67,23 @@ type ExecEvent struct {
|
||||
MS int64 `json:"ms,omitempty"` // end 事件的耗时（毫秒）
|
||||
}
|
||||
|
||||
// TripleView 是回流给 UI 的一条知识三元组（主体-关系-客体），用于实时展示抽取过程与图谱。
|
||||
type TripleView struct {
|
||||
S string `json:"s"`
|
||||
P string `json:"p"`
|
||||
O string `json:"o"`
|
||||
}
|
||||
|
||||
// IngestEvent 是入库流水线的实时进度事件（经 sundynix.streams.<job_id> 回流给 UI）。
|
||||
type IngestEvent struct {
|
||||
Stage string `json:"stage"` // 解析/切块/向量化/写Milvus/写Bleve/完成/失败
|
||||
Msg string `json:"msg,omitempty"` // 文案
|
||||
Done int `json:"done,omitempty"` // 进度（如已向量化块数）
|
||||
Total int `json:"total,omitempty"` // 总数
|
||||
Chunks []string `json:"chunks,omitempty"` // 切块预览（切块阶段发一次）
|
||||
Error string `json:"error,omitempty"`
|
||||
Stage string `json:"stage"` // 解析/解析完成/切块/向量化/写Milvus/写Bleve/抽实体/写Neo4j/完成/失败
|
||||
Msg string `json:"msg,omitempty"` // 文案
|
||||
Done int `json:"done,omitempty"` // 进度（如已向量化块数）
|
||||
Total int `json:"total,omitempty"` // 总数
|
||||
Chunks []string `json:"chunks,omitempty"` // 切块预览（切块阶段发一次）
|
||||
Preview string `json:"preview,omitempty"` // 解析阶段：解析出的文本片段预览
|
||||
Triples []TripleView `json:"triples,omitempty"` // 抽实体阶段：LLM 抽出的知识三元组（实时浮现 + 喂图谱）
|
||||
Error string `json:"error,omitempty"`
|
||||
}
|
||||
|
||||
// ModelConfig 是一个模型后端的连接配置（provider 抽象，chat 与 embedding 同形）。
|
||||
|
||||
Reference in New Issue
Block a user