wuyang
1283 lines
42 KiB
JavaScript
1283 lines
42 KiB
JavaScript
const state = {
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atlas: null,
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health: null,
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view: "atlas",
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activeTopic: "",
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topicFocus: null,
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selectedPaper: null,
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selectedMarkdown: "",
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searchItems: [],
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searchTotal: 0,
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searchJobId: "",
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searchResult: null,
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searchPollTimer: null,
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searchFollowups: [],
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aiBusy: false,
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atlasChart: null,
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paperChatHistory: {},
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};
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const $ = (selector) => document.querySelector(selector);
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const elements = {
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app: $(".atlas-app"),
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healthLine: $("#healthLine"),
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searchInput: $("#searchInput"),
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searchBtn: $("#searchBtn"),
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mapTitle: $("#mapTitle"),
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atlasChart: $("#atlasChart"),
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atlasSvg: $("#atlasSvg"),
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routeList: $("#routeList"),
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timeline: $("#timeline"),
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explainAtlasBtn: $("#explainAtlasBtn"),
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readingPathBtn: $("#readingPathBtn"),
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lensEyebrow: $("#lensEyebrow"),
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lensTitle: $("#lensTitle"),
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lensBody: $("#lensBody"),
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closePaperBtn: $("#closePaperBtn"),
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};
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function escapeHtml(value) {
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return String(value ?? "")
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.replaceAll("&", "&")
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.replaceAll("<", "<")
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.replaceAll(">", ">")
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.replaceAll('"', """)
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.replaceAll("'", "'");
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}
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function debounce(fn, delay = 260) {
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let timer = null;
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return (...args) => {
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window.clearTimeout(timer);
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timer = window.setTimeout(() => fn(...args), delay);
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};
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}
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async function api(path, options = {}) {
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const response = await fetch(path, {
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...options,
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headers: {
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"content-type": "application/json",
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...(options.headers || {}),
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},
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});
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const payload = await response.json();
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if (!response.ok) {
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throw new Error(payload.error || `HTTP ${response.status}`);
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}
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return payload;
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}
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function loadChartEngine() {
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if (window.echarts) {
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if (state.atlas) renderAtlasMap();
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return;
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}
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if (document.querySelector("script[data-chart-engine='echarts']")) return;
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const script = document.createElement("script");
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script.src = "/static/vendor/echarts.min.js?v=6.1.0";
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script.async = true;
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script.dataset.chartEngine = "echarts";
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script.onload = () => {
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if (state.atlas) renderAtlasMap();
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};
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script.onerror = () => {
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console.warn("ECharts atlas enhancement unavailable; SVG fallback remains active.");
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};
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document.head.appendChild(script);
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}
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function topicLabel(topic) {
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const found = state.atlas?.topics?.find((item) => item.id === topic);
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return found?.label || topic.replaceAll("-", " ");
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}
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function colorFor(index) {
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const colors = ["#0b7a75", "#c95745", "#b37a22", "#4d7f52", "#5f63b5", "#22699a", "#9a5d2f", "#7b4aa0"];
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return colors[index % colors.length];
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}
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function hexToRgb(hex) {
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const clean = String(hex || "").replace("#", "");
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const value = Number.parseInt(clean.length === 3 ? clean.replace(/(.)/g, "$1$1") : clean, 16);
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return {
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r: (value >> 16) & 255,
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g: (value >> 8) & 255,
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b: value & 255,
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};
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}
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function hexToRgba(hex, alpha) {
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const { r, g, b } = hexToRgb(hex);
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return `rgba(${r}, ${g}, ${b}, ${alpha})`;
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}
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function mixColor(hex, target, amount) {
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const base = hexToRgb(hex);
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const next = hexToRgb(target);
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const mix = (left, right) => Math.round(left + (right - left) * amount);
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return `rgb(${mix(base.r, next.r)}, ${mix(base.g, next.g)}, ${mix(base.b, next.b)})`;
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}
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function chartGradient(color) {
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if (!window.echarts?.graphic?.RadialGradient) return color;
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return new window.echarts.graphic.RadialGradient(0.34, 0.28, 0.86, [
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{ offset: 0, color: "#ffffff" },
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{ offset: 0.58, color: mixColor(color, "#ffffff", 0.64) },
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{ offset: 1, color },
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]);
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}
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function setReaderMode(enabled) {
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const changed = elements.app.classList.toggle("reader-mode", Boolean(enabled));
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if (changed && state.atlas) {
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window.requestAnimationFrame(() => renderAtlasMap());
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}
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}
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async function loadHealth() {
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try {
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const health = await api("/api/health");
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state.health = health;
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const ollamaState = health.ollama_ready
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? "Ollama ready"
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: health.ollama_ok
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? "Ollama model mismatch"
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: "Ollama offline";
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elements.healthLine.textContent = `${health.paper_count} papers · ${ollamaState}`;
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} catch (error) {
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elements.healthLine.textContent = error.message;
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}
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}
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async function loadAtlas() {
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state.atlas = await api("/api/atlas");
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elements.mapTitle.textContent = `${state.atlas.paper_count} 篇论文构成的 Agent 版图`;
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renderAtlasMap();
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renderRoutes();
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renderTimeline();
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renderOverview();
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}
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function atlasTopics() {
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return state.atlas.topics.filter((topic) => topic.count >= 30).slice(0, 13);
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}
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function setAtlasRenderer(useChart) {
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if (elements.atlasChart) elements.atlasChart.hidden = !useChart;
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if (elements.atlasSvg) elements.atlasSvg.hidden = useChart;
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}
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function renderAtlasMap() {
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if (window.echarts && elements.atlasChart) {
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try {
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renderEchartsAtlasMap();
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return;
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} catch (error) {
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console.warn("ECharts atlas failed, falling back to SVG", error);
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}
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}
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renderSvgAtlasMap();
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}
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function renderEchartsAtlasMap() {
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const isMobile = window.matchMedia("(max-width: 760px)").matches;
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const readerMode = elements.app.classList.contains("reader-mode");
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let topics = atlasTopics();
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if (readerMode && !isMobile) {
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topics = topics.slice(0, 10);
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}
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const topicMap = new Map(topics.map((topic, index) => [topic.id, { ...topic, index }]));
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const maxCount = Math.max(...topics.map((topic) => topic.count), 1);
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setAtlasRenderer(true);
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if (!state.atlasChart) {
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state.atlasChart = window.echarts.init(elements.atlasChart, null, {
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renderer: "canvas",
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useDirtyRect: true,
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});
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}
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const width = elements.atlasChart.clientWidth || (isMobile ? 360 : 780);
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const height = elements.atlasChart.clientHeight || (isMobile ? 360 : 460);
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const isCompact = isMobile || width < 690 || elements.app.classList.contains("reader-mode");
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const padding = isCompact
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? { left: 46, right: 86, top: 42, bottom: 54 }
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: { left: 92, right: 92, top: 64, bottom: 74 };
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const layoutX = (topic) => (isCompact ? topic.x - Math.max(0, topic.x - 64) * 0.65 : topic.x);
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const xs = topics.map(layoutX);
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const ys = topics.map((topic) => topic.y);
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const minX = Math.min(...xs);
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const maxX = Math.max(...xs);
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const minY = Math.min(...ys);
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const maxY = Math.max(...ys);
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const xSpan = Math.max(maxX - minX, 1);
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const ySpan = Math.max(maxY - minY, 1);
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const plotWidth = Math.max(width - padding.left - padding.right, 260);
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const plotHeight = Math.max(height - padding.top - padding.bottom, 230);
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const sizeBase = isCompact ? (isMobile ? 24 : 36) : 48;
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const sizeRange = isCompact ? (isMobile ? 30 : 42) : 62;
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const nodes = topics.map((topic, index) => {
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const color = colorFor(index);
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const active = topic.id === state.activeTopic;
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const symbolSize = sizeBase + sizeRange * Math.sqrt(topic.count / maxCount);
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return {
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id: topic.id,
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name: topic.label,
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value: topic.count,
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x: padding.left + ((layoutX(topic) - minX) / xSpan) * plotWidth,
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y: padding.top + ((topic.y - minY) / ySpan) * plotHeight,
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symbolSize,
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count: topic.count,
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recent_count: topic.recent_count,
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heat: topic.heat,
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question: topic.question,
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stance: topic.stance,
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itemStyle: {
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color: chartGradient(color),
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borderColor: active ? "#17201c" : mixColor(color, "#101614", 0.08),
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borderWidth: active ? 3 : 1.4,
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shadowBlur: active ? 30 : 18,
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shadowColor: hexToRgba(color, active ? 0.34 : 0.2),
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},
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label: {
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color: active ? "#0f1714" : "#18211d",
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},
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};
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});
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const links = state.atlas.edges
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.filter((edge) => topicMap.has(edge.source) && topicMap.has(edge.target))
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.map((edge) => ({
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source: edge.source,
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target: edge.target,
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value: edge.count,
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lineStyle: {
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width: Math.max(1, 1.2 + edge.strength * 5.4),
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opacity: Math.min(0.58, 0.13 + edge.strength * 0.5),
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color: hexToRgba(colorFor(topicMap.get(edge.source).index), 0.48),
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curveness: 0.08,
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},
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}));
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state.atlasChart.setOption(
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{
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backgroundColor: "transparent",
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animationDuration: 850,
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animationDurationUpdate: 450,
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animationEasing: "cubicOut",
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tooltip: {
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trigger: "item",
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confine: true,
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appendToBody: true,
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backgroundColor: "rgba(252, 253, 249, 0.97)",
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borderColor: "rgba(31, 37, 33, 0.18)",
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borderWidth: 1,
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padding: [10, 12],
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textStyle: {
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color: "#151b18",
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fontSize: 12,
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lineHeight: 18,
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},
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extraCssText: "box-shadow:0 16px 42px rgba(24,31,28,.16);border-radius:8px;",
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formatter(params) {
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if (params.dataType === "edge") {
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return `
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<strong>${escapeHtml(topicLabel(params.data.source))} ↔ ${escapeHtml(topicLabel(params.data.target))}</strong><br>
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共现证据：${escapeHtml(params.data.value)}
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`;
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}
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const item = params.data;
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return `
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<strong>${escapeHtml(item.name)}</strong><br>
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${escapeHtml(item.count)} papers · recent +${escapeHtml(item.recent_count)}<br>
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<span style="color:#68706b">${escapeHtml(item.question)}</span>
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`;
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},
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},
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series: [
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{
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type: "graph",
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layout: "none",
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data: nodes,
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links,
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roam: true,
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draggable: true,
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center: isCompact ? (isMobile ? ["80%", "50%"] : ["120%", "50%"]) : ["50%", "50%"],
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zoom: isCompact ? (isMobile ? 0.64 : 0.72) : 1,
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nodeScaleRatio: isCompact ? 0.24 : 0.5,
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cursor: "pointer",
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selectedMode: "single",
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scaleLimit: { min: 0.45, max: 3.2 },
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label: {
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show: true,
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position: "inside",
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overflow: "truncate",
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formatter(params) {
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return `{name|${params.data.name}}\n{meta|${params.data.count} · +${params.data.recent_count}}`;
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},
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rich: {
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name: {
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fontSize: isCompact ? (isMobile ? 9 : 10) : 12,
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fontWeight: 850,
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lineHeight: isCompact ? (isMobile ? 12 : 13) : 16,
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},
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meta: {
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color: "#59625d",
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fontSize: isCompact ? (isMobile ? 8 : 9) : 10,
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fontWeight: 700,
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lineHeight: isCompact ? (isMobile ? 10 : 11) : 13,
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},
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},
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},
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lineStyle: {
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color: "source",
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cap: "round",
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},
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emphasis: {
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focus: "adjacency",
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scale: 1.08,
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itemStyle: {
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shadowBlur: 36,
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},
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lineStyle: {
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opacity: 0.82,
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width: 4,
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},
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label: {
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color: "#0b1411",
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},
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},
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blur: {
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itemStyle: {
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opacity: 0.28,
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},
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lineStyle: {
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opacity: 0.06,
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},
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label: {
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opacity: 0.35,
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},
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},
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select: {
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itemStyle: {
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borderColor: "#111714",
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borderWidth: 3,
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shadowBlur: 34,
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},
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},
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},
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],
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},
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true,
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);
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state.atlasChart.off("click");
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state.atlasChart.on("click", async (params) => {
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if (params.dataType !== "node" || !params.data?.id) return;
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await selectTopic(params.data.id);
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scrollLensIntoView();
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});
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}
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function renderSvgAtlasMap() {
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const topics = state.atlas.topics.filter((topic) => topic.count >= 30).slice(0, 13);
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const topicMap = new Map(topics.map((topic, index) => [topic.id, { ...topic, index }]));
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const maxCount = Math.max(...topics.map((topic) => topic.count), 1);
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const isMobile = window.matchMedia("(max-width: 760px)").matches;
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setAtlasRenderer(false);
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elements.atlasSvg.setAttribute("viewBox", isMobile ? "16 -4 78 86" : "0 0 170 100");
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const point = (topic) => ({
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x: isMobile ? topic.x : 14 + topic.x * 1.58,
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y: -18 + topic.y * 0.93,
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});
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const edges = state.atlas.edges
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.filter((edge) => topicMap.has(edge.source) && topicMap.has(edge.target))
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.map((edge) => {
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const source = topicMap.get(edge.source);
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const target = topicMap.get(edge.target);
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const sourcePoint = point(source);
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const targetPoint = point(target);
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return `
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<line class="atlas-edge"
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x1="${sourcePoint.x}" y1="${sourcePoint.y}"
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x2="${targetPoint.x}" y2="${targetPoint.y}"
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stroke-width="${Math.max(0.25, 1.8 * edge.strength).toFixed(2)}">
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<title>${escapeHtml(topicLabel(edge.source))} ↔ ${escapeHtml(topicLabel(edge.target))}: ${edge.count}</title>
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</line>
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`;
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})
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.join("");
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const nodes = topics
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.map((topic, index) => {
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const active = topic.id === state.activeTopic ? " active" : "";
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const r = 3.6 + 5.6 * (topic.count / maxCount);
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const ring = r + 1.6 + topic.heat * 1.7;
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const color = colorFor(index);
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const p = point(topic);
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return `
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<g class="atlas-node${active}" data-topic="${escapeHtml(topic.id)}" transform="translate(${p.x.toFixed(2)} ${p.y.toFixed(2)})">
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<circle class="heat-ring" r="${ring.toFixed(2)}" style="stroke:${color}; opacity:${0.2 + topic.heat * 0.65}"></circle>
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<circle r="${r.toFixed(2)}" style="stroke:${color};"></circle>
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<text y="-0.4">${escapeHtml(topic.label)}</text>
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<text class="node-count" y="3.0">${topic.count} · +${topic.recent_count}</text>
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</g>
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`;
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})
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.join("");
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elements.atlasSvg.innerHTML = `${edges}${nodes}`;
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}
|
|
|
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function renderRoutes() {
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elements.routeList.innerHTML = state.atlas.routes
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.map(
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(route) => `
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<button class="route-item" type="button" data-route="${escapeHtml(route.id)}">
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<strong>${escapeHtml(route.title)}</strong>
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<span>${escapeHtml(route.summary)}</span>
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</button>
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`,
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)
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.join("");
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}
|
|
|
|
function renderTimeline() {
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const rows = state.atlas.timeline.slice(-13);
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|
const maxTotal = Math.max(...rows.map((row) => row.total), 1);
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|
elements.timeline.innerHTML = rows
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|
.map((row) => {
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const height = 8 + 70 * (row.total / maxTotal);
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|
return `
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|
<div class="month-cell" title="${escapeHtml(row.month)} · ${row.total}">
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<div class="month-bar" style="height:${height.toFixed(1)}px"></div>
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|
<div class="month-label">${escapeHtml(row.month.slice(5))}</div>
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</div>
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`;
|
|
})
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.join("");
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}
|
|
|
|
function statGrid(items) {
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return `
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|
<div class="stat-grid">
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|
${items
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|
.map(
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(item) => `
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|
<div class="stat">
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<strong>${escapeHtml(item.value)}</strong>
|
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<span>${escapeHtml(item.label)}</span>
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</div>
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|
`,
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|
)
|
|
.join("")}
|
|
</div>
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|
`;
|
|
}
|
|
|
|
function paperList(items, limit = items.length) {
|
|
if (!items?.length) {
|
|
return `<div class="empty-state">暂无证据</div>`;
|
|
}
|
|
return `
|
|
<div class="paper-list">
|
|
${items
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.slice(0, limit)
|
|
.map(
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|
(paper) => `
|
|
<button class="paper-item" type="button" data-paper="${escapeHtml(paper.id)}">
|
|
<div class="paper-title">${escapeHtml(paper.title)}</div>
|
|
<div class="paper-meta">
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|
<span>${escapeHtml(paper.published_at || paper.year || "unknown")}</span>
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|
<span>score ${escapeHtml(paper.collection_score)}</span>
|
|
${(paper.topics || [])
|
|
.slice(0, 4)
|
|
.map((topic) => `<span class="mini-badge">${escapeHtml(topicLabel(topic))}</span>`)
|
|
.join("")}
|
|
</div>
|
|
</button>
|
|
`,
|
|
)
|
|
.join("")}
|
|
</div>
|
|
`;
|
|
}
|
|
|
|
function compactPaperList(items, limit = items.length) {
|
|
return paperList(items, limit);
|
|
}
|
|
|
|
function routeButtons(routes) {
|
|
return `
|
|
<div class="chip-row">
|
|
${routes
|
|
.map(
|
|
(route) => `
|
|
<button class="pill-button" type="button" data-route="${escapeHtml(route.id)}">${escapeHtml(route.title)}</button>
|
|
`,
|
|
)
|
|
.join("")}
|
|
</div>
|
|
`;
|
|
}
|
|
|
|
function searchActivity(steps = []) {
|
|
const current =
|
|
steps.find((step) => step.status === "running") ||
|
|
[...steps].reverse().find((step) => step.status === "done") ||
|
|
steps[0] ||
|
|
{};
|
|
const doneCount = steps.filter((step) => step.status === "done").length;
|
|
const currentIndex = Math.min(doneCount + (current.status === "running" ? 1 : 0), steps.length || 1);
|
|
const statusLabel = current.status === "running" ? "working" : current.status || "pending";
|
|
return `
|
|
<div class="agent-activity ${escapeHtml(current.status || "pending")}">
|
|
<span class="activity-dot"></span>
|
|
<div class="activity-copy">
|
|
<div class="activity-title">
|
|
<span>Search Agent</span>
|
|
<strong>${escapeHtml(current.label || "准备搜索")}</strong>
|
|
</div>
|
|
<div class="activity-detail">${escapeHtml(current.detail || "正在准备检索上下文")}</div>
|
|
</div>
|
|
<div class="activity-meta">${escapeHtml(statusLabel)} · ${currentIndex}/${steps.length || 1}</div>
|
|
</div>
|
|
`;
|
|
}
|
|
|
|
function searchAggregationView(aggregation) {
|
|
if (!aggregation) return "";
|
|
const topTopics = aggregation.topics || [];
|
|
const recentMonths = aggregation.recent_months || [];
|
|
return `
|
|
<section class="section">
|
|
${statGrid([
|
|
{ value: aggregation.total || 0, label: "matches" },
|
|
{ value: topTopics.length, label: "topics" },
|
|
{ value: aggregation.date_range?.end || "unknown", label: "latest" },
|
|
])}
|
|
<div class="mini-chart-row">
|
|
${recentMonths
|
|
.map((row) => `<span class="month-chip">${escapeHtml(row.month)} · ${escapeHtml(row.count)}</span>`)
|
|
.join("")}
|
|
</div>
|
|
<div class="chip-row search-topic-row">
|
|
${topTopics
|
|
.slice(0, 8)
|
|
.map(
|
|
(topic) => `
|
|
<button class="pill-button" type="button" data-topic="${escapeHtml(topic.topic)}">
|
|
${escapeHtml(topic.label)} · ${topic.count}
|
|
</button>
|
|
`,
|
|
)
|
|
.join("")}
|
|
</div>
|
|
</section>
|
|
`;
|
|
}
|
|
|
|
function searchPlanView(plan) {
|
|
if (!plan) return "";
|
|
const keywords = [...(plan.keywords_en || []), ...(plan.keywords_zh || [])].slice(0, 14);
|
|
return `
|
|
<section class="section compact-section">
|
|
<div class="eyebrow">Search Plan</div>
|
|
<p class="statement">${escapeHtml(plan.interpreted_query || "")}</p>
|
|
<p class="microcopy">${escapeHtml(plan.search_rationale || "")}</p>
|
|
<div class="chip-row">
|
|
${keywords.map((keyword) => `<span class="mini-badge">${escapeHtml(keyword)}</span>`).join("")}
|
|
</div>
|
|
</section>
|
|
`;
|
|
}
|
|
|
|
function renderSearchRunning(job) {
|
|
setReaderMode(false);
|
|
state.view = "search";
|
|
setModeButtons("search");
|
|
elements.lensEyebrow.textContent = "Search Agent";
|
|
elements.lensTitle.textContent = job?.query || elements.searchInput.value.trim() || "搜索";
|
|
elements.lensBody.innerHTML = `
|
|
<section class="section">
|
|
${searchActivity(job?.steps || [])}
|
|
</section>
|
|
`;
|
|
}
|
|
|
|
function renderSearchHome() {
|
|
setReaderMode(false);
|
|
state.view = "search";
|
|
setModeButtons("search");
|
|
elements.lensEyebrow.textContent = "Search Agent";
|
|
elements.lensTitle.textContent = "智能搜索";
|
|
elements.lensBody.innerHTML = `
|
|
<section class="section">
|
|
<p class="statement">输入主题、论文线索或研究问题。Search Agent 会理解意图、扩展中英文关键词、检索本地论文库，并生成一份简短结论。</p>
|
|
</section>
|
|
<section class="section">
|
|
<h3>可以这样搜</h3>
|
|
<div class="chip-row">
|
|
<button class="pill-button" type="button" data-search-example="强化学习">强化学习</button>
|
|
<button class="pill-button" type="button" data-search-example="最近的 agent evaluation benchmark">最近的 agent evaluation benchmark</button>
|
|
<button class="pill-button" type="button" data-search-example="长期记忆和 RAG 有什么关系">长期记忆和 RAG 有什么关系</button>
|
|
</div>
|
|
</section>
|
|
`;
|
|
}
|
|
|
|
function renderSearchError(jobOrError) {
|
|
const message = typeof jobOrError === "string" ? jobOrError : jobOrError?.error || "search failed";
|
|
elements.lensBody.innerHTML = `
|
|
<section class="section">
|
|
<div class="empty-state">${escapeHtml(message)}</div>
|
|
</section>
|
|
`;
|
|
}
|
|
|
|
function followupList() {
|
|
const rows = state.searchFollowups || [];
|
|
if (!rows.length) return "";
|
|
return `
|
|
<div class="dialogue-list">
|
|
${rows
|
|
.map(
|
|
(row) => `
|
|
<div class="dialogue-row ${escapeHtml(row.role)}">
|
|
<strong>${row.role === "user" ? "你" : "Search Agent"}</strong>
|
|
<div>${escapeHtml(row.content)}</div>
|
|
</div>
|
|
`,
|
|
)
|
|
.join("")}
|
|
</div>
|
|
`;
|
|
}
|
|
|
|
function renderSearchResult(result) {
|
|
setReaderMode(false);
|
|
state.view = "search";
|
|
setModeButtons("search");
|
|
elements.lensEyebrow.textContent = "Search Agent";
|
|
elements.lensTitle.textContent = result.query;
|
|
const summary = result.summary || {};
|
|
elements.lensBody.innerHTML = `
|
|
<section class="section">
|
|
<div class="ai-box search-brief">
|
|
<h3>${escapeHtml(summary.model || "Search Agent")}</h3>
|
|
<div class="ai-output">${escapeHtml(summary.text || "")}</div>
|
|
</div>
|
|
</section>
|
|
${searchAggregationView(result.aggregation)}
|
|
${searchPlanView(result.plan)}
|
|
<section class="section">
|
|
<h3>继续追问</h3>
|
|
${followupList()}
|
|
<div class="followup-row">
|
|
<input id="searchFollowupInput" type="text" placeholder="基于当前结果继续问，比如：只看最近的 / 给阅读顺序" />
|
|
<button class="tool-button primary" type="button" data-search-followup>Ask</button>
|
|
</div>
|
|
</section>
|
|
<section class="section">
|
|
<h3>相关论文</h3>
|
|
${compactPaperList(result.items || [], 60)}
|
|
</section>
|
|
`;
|
|
}
|
|
|
|
function renderOverview(aiHtml = "") {
|
|
setReaderMode(false);
|
|
state.view = "atlas";
|
|
state.selectedPaper = null;
|
|
elements.lensEyebrow.textContent = "Atlas";
|
|
elements.lensTitle.textContent = "整体脉络";
|
|
setModeButtons("atlas");
|
|
|
|
const topTopics = state.atlas.topics.slice(0, 7);
|
|
elements.lensBody.innerHTML = `
|
|
<section class="section">
|
|
${statGrid([
|
|
{ value: state.atlas.paper_count, label: "papers" },
|
|
{ value: state.atlas.topic_count, label: "topics" },
|
|
{ value: state.atlas.recent_months.join(" / "), label: "recent window" },
|
|
])}
|
|
</section>
|
|
|
|
<section class="section">
|
|
<p class="statement">这版 Atlas 把论文当作证据，把主题、路线和趋势当作入口。当前最强的主轴是 evaluation、tool use、RAG、reasoning、planning、safety、memory。</p>
|
|
<p class="question">核心问题：Agent 如何从“能回答”走向“能长期、可观察、可治理地行动”？</p>
|
|
</section>
|
|
|
|
<section class="section">
|
|
<h3>主题入口</h3>
|
|
<div class="chip-row">
|
|
${topTopics
|
|
.map(
|
|
(topic) => `
|
|
<button class="pill-button" type="button" data-topic="${escapeHtml(topic.id)}">
|
|
${escapeHtml(topic.label)} · ${topic.count}
|
|
</button>
|
|
`,
|
|
)
|
|
.join("")}
|
|
</div>
|
|
</section>
|
|
|
|
<section class="section">
|
|
<h3>路线</h3>
|
|
${routeButtons(state.atlas.routes)}
|
|
</section>
|
|
|
|
<section class="section">
|
|
<h3>关键论文候选</h3>
|
|
${paperList(state.atlas.key_papers, 8)}
|
|
</section>
|
|
|
|
<section class="section">
|
|
<h3>AI 研究编辑</h3>
|
|
<div class="tool-row">
|
|
<button class="tool-button primary" type="button" data-atlas-ai="atlas">解释地图</button>
|
|
<button class="tool-button" type="button" data-atlas-ai="path">阅读路径</button>
|
|
</div>
|
|
<div id="aiResult" class="ai-box" style="${aiHtml ? "" : "display:none"}">${aiHtml}</div>
|
|
</section>
|
|
`;
|
|
}
|
|
|
|
async function selectTopic(topic) {
|
|
state.activeTopic = topic;
|
|
state.selectedPaper = null;
|
|
renderAtlasMap();
|
|
const focus = await api(`/api/topic?topic=${encodeURIComponent(topic)}`);
|
|
state.topicFocus = focus;
|
|
renderTopic(focus);
|
|
}
|
|
|
|
function renderTopic(focus, aiHtml = "") {
|
|
setReaderMode(false);
|
|
state.view = "atlas";
|
|
elements.lensEyebrow.textContent = "Topic";
|
|
elements.lensTitle.textContent = focus.label;
|
|
setModeButtons("atlas");
|
|
|
|
const recentTotal = Object.values(focus.months).slice(-3).reduce((sum, value) => sum + Number(value || 0), 0);
|
|
elements.lensBody.innerHTML = `
|
|
<section class="section">
|
|
${statGrid([
|
|
{ value: focus.count, label: "papers" },
|
|
{ value: recentTotal, label: "recent" },
|
|
{ value: focus.neighbors.length, label: "neighbors" },
|
|
])}
|
|
</section>
|
|
|
|
<section class="section">
|
|
<p class="statement">${escapeHtml(focus.stance)}</p>
|
|
<p class="question">${escapeHtml(focus.question)}</p>
|
|
</section>
|
|
|
|
<section class="section">
|
|
<h3>相邻主题</h3>
|
|
<div class="chip-row">
|
|
${focus.neighbors
|
|
.slice(0, 8)
|
|
.map(
|
|
(item) => `
|
|
<button class="pill-button" type="button" data-topic="${escapeHtml(item.topic)}">
|
|
${escapeHtml(item.label)} · ${item.count}
|
|
</button>
|
|
`,
|
|
)
|
|
.join("")}
|
|
</div>
|
|
</section>
|
|
|
|
<section class="section">
|
|
<h3>所在路线</h3>
|
|
${routeButtons(focus.routes)}
|
|
</section>
|
|
|
|
<section class="section">
|
|
<h3>AI 研究编辑</h3>
|
|
<div class="tool-row">
|
|
<button class="tool-button primary" type="button" data-topic-ai="topic">生成主题导读</button>
|
|
<button class="tool-button" type="button" data-topic-ai="path">生成阅读路径</button>
|
|
${
|
|
focus.neighbors[0]
|
|
? `<button class="tool-button" type="button" data-compare-topic="${escapeHtml(focus.neighbors[0].topic)}">对比 ${escapeHtml(focus.neighbors[0].label)}</button>`
|
|
: ""
|
|
}
|
|
</div>
|
|
<div id="aiResult" class="ai-box" style="${aiHtml ? "" : "display:none"}">${aiHtml}</div>
|
|
</section>
|
|
|
|
<section class="section">
|
|
<h3>关键论文</h3>
|
|
${paperList(focus.key_papers, 10)}
|
|
</section>
|
|
|
|
<section class="section">
|
|
<h3>最近新增</h3>
|
|
${paperList(focus.recent_papers, 8)}
|
|
</section>
|
|
`;
|
|
}
|
|
|
|
function renderRoute(routeId) {
|
|
const route = state.atlas.routes.find((item) => item.id === routeId);
|
|
if (!route) return;
|
|
setReaderMode(false);
|
|
state.selectedPaper = null;
|
|
elements.lensEyebrow.textContent = "Route";
|
|
elements.lensTitle.textContent = route.title;
|
|
elements.lensBody.innerHTML = `
|
|
<section class="section">
|
|
<p class="statement">${escapeHtml(route.summary)}</p>
|
|
</section>
|
|
<section class="section">
|
|
<h3>主题链路</h3>
|
|
<div class="chip-row">
|
|
${route.topics
|
|
.map((topic) => `<button class="pill-button" type="button" data-topic="${escapeHtml(topic)}">${escapeHtml(topicLabel(topic))}</button>`)
|
|
.join("")}
|
|
</div>
|
|
</section>
|
|
<section class="section">
|
|
<h3>路线证据</h3>
|
|
${paperList(
|
|
state.atlas.key_papers.filter((paper) => paper.topics.some((topic) => route.topics.includes(topic))),
|
|
12,
|
|
)}
|
|
</section>
|
|
`;
|
|
}
|
|
|
|
async function runSearch() {
|
|
const q = elements.searchInput.value.trim();
|
|
if (!q) {
|
|
renderSearchHome();
|
|
return;
|
|
}
|
|
const scopeTopic = state.topicFocus && state.view === "atlas" ? state.activeTopic : "";
|
|
setReaderMode(false);
|
|
state.view = "search";
|
|
setModeButtons("search");
|
|
state.searchFollowups = [];
|
|
state.searchResult = null;
|
|
const starter = {
|
|
query: q,
|
|
steps: [
|
|
{ label: "理解问题", status: "running", detail: "准备启动 Search Agent" },
|
|
{ label: "扩展关键词", status: "pending", detail: "" },
|
|
{ label: "检索论文库", status: "pending", detail: "" },
|
|
{ label: "统计主题/趋势", status: "pending", detail: "" },
|
|
{ label: "生成搜索结论", status: "pending", detail: "" },
|
|
],
|
|
};
|
|
renderSearchRunning(starter);
|
|
scrollLensIntoView();
|
|
try {
|
|
const payload = await api("/api/search/agent", {
|
|
method: "POST",
|
|
body: JSON.stringify({ query: q, topic: scopeTopic }),
|
|
});
|
|
state.searchJobId = payload.job.id;
|
|
renderSearchRunning(payload.job);
|
|
pollSearchJob(payload.job.id);
|
|
} catch (error) {
|
|
renderSearchError(error.message);
|
|
}
|
|
}
|
|
|
|
async function pollSearchJob(jobId) {
|
|
window.clearTimeout(state.searchPollTimer);
|
|
try {
|
|
const payload = await api(`/api/search/agent?id=${encodeURIComponent(jobId)}`);
|
|
const job = payload.job;
|
|
if (job.status === "done") {
|
|
state.searchResult = job.result;
|
|
state.searchItems = job.result.items || [];
|
|
state.searchTotal = job.result.total || 0;
|
|
renderSearchResult(job.result);
|
|
return;
|
|
}
|
|
if (job.status === "error") {
|
|
renderSearchError(job);
|
|
return;
|
|
}
|
|
renderSearchRunning(job);
|
|
state.searchPollTimer = window.setTimeout(() => pollSearchJob(jobId), 900);
|
|
} catch (error) {
|
|
renderSearchError(error.message);
|
|
}
|
|
}
|
|
|
|
async function runSearchFollowup() {
|
|
const input = $("#searchFollowupInput");
|
|
const question = input?.value.trim();
|
|
if (!question || !state.searchJobId) return;
|
|
state.searchFollowups.push({ role: "user", content: question });
|
|
state.searchFollowups.push({ role: "assistant", content: "thinking..." });
|
|
renderSearchResult(state.searchResult);
|
|
try {
|
|
const payload = await api("/api/search/followup", {
|
|
method: "POST",
|
|
body: JSON.stringify({ job_id: state.searchJobId, question }),
|
|
});
|
|
state.searchFollowups[state.searchFollowups.length - 1] = {
|
|
role: "assistant",
|
|
content: `${payload.answer}\n\n${payload.model} · ${payload.duration_seconds}s`,
|
|
};
|
|
} catch (error) {
|
|
state.searchFollowups[state.searchFollowups.length - 1] = {
|
|
role: "assistant",
|
|
content: error.message,
|
|
};
|
|
}
|
|
renderSearchResult(state.searchResult);
|
|
}
|
|
|
|
function renderReading() {
|
|
setReaderMode(false);
|
|
state.view = "reading";
|
|
setModeButtons("reading");
|
|
elements.lensEyebrow.textContent = "Reading";
|
|
elements.lensTitle.textContent = "阅读流";
|
|
elements.lensBody.innerHTML = `
|
|
<section class="section">
|
|
<p class="statement">先从路线理解问题，再进入主题，最后把论文作为证据读。当前版本把高分论文和最近新增放在这里，后续可以接入个人阅读队列。</p>
|
|
</section>
|
|
<section class="section">
|
|
<h3>高优先级</h3>
|
|
${paperList(state.atlas.key_papers, 12)}
|
|
</section>
|
|
<section class="section">
|
|
<h3>最近新增</h3>
|
|
${paperList(state.atlas.recent_papers, 12)}
|
|
</section>
|
|
`;
|
|
}
|
|
|
|
function stripFrontmatter(markdown) {
|
|
const text = String(markdown || "");
|
|
const match = text.match(/^# .+?\n\n---[\s\S]*?\n---\n\n?/);
|
|
return match ? text.slice(match[0].length) : text;
|
|
}
|
|
|
|
function renderMarkdown(markdown) {
|
|
return escapeHtml(stripFrontmatter(markdown))
|
|
.replace(/^### (.+)$/gm, "\n$1\n")
|
|
.replace(/^## (.+)$/gm, "\n$1\n")
|
|
.replace(/^# (.+)$/gm, "$1\n")
|
|
.replace(/\[([^\]]+)\]\((https?:\/\/[^)]+)\)/g, "$1 ($2)");
|
|
}
|
|
|
|
async function selectPaper(id) {
|
|
const payload = await api(`/api/paper?id=${encodeURIComponent(id)}`);
|
|
state.selectedPaper = payload.paper;
|
|
state.selectedMarkdown = payload.markdown;
|
|
renderPaperReader();
|
|
}
|
|
|
|
function renderPaperReader(aiHtml = "", abstractHtml = "") {
|
|
const paper = state.selectedPaper;
|
|
if (!paper) return;
|
|
setReaderMode(true);
|
|
const chatRows = state.paperChatHistory[paper.id] || [];
|
|
elements.lensEyebrow.textContent = "Paper";
|
|
elements.lensTitle.textContent = "研读";
|
|
elements.lensBody.innerHTML = `
|
|
<section class="section">
|
|
<h3 class="reader-title">${escapeHtml(paper.title)}</h3>
|
|
<div class="paper-meta">
|
|
<span>${escapeHtml(paper.published_at || paper.year)}</span>
|
|
<span>${escapeHtml(paper.venue || paper.source)}</span>
|
|
<span>score ${escapeHtml(paper.collection_score)}</span>
|
|
</div>
|
|
<div class="chip-row" style="margin-top:10px">
|
|
${(paper.topics || []).map((topic) => `<button class="pill-button" type="button" data-topic="${escapeHtml(topic)}">${escapeHtml(topicLabel(topic))}</button>`).join("")}
|
|
</div>
|
|
</section>
|
|
|
|
<section class="section">
|
|
<div class="tool-row">
|
|
<a class="paper-link" href="${escapeHtml(paper.url)}" target="_blank" rel="noreferrer">arXiv</a>
|
|
<button class="tool-button" type="button" data-reader-action="map">回到图谱</button>
|
|
<button class="tool-button" type="button" data-paper-action="abstract">摘要</button>
|
|
<button class="tool-button primary" type="button" data-paper-action="summary">中文摘要</button>
|
|
<button class="tool-button" type="button" data-paper-action="translate">翻译</button>
|
|
<button class="tool-button" type="button" data-paper-action="deep">深度研读</button>
|
|
</div>
|
|
</section>
|
|
|
|
<section class="section" id="paperAbstract" style="${abstractHtml ? "" : "display:none"}">${abstractHtml}</section>
|
|
<section class="section" id="paperAi" style="${aiHtml ? "" : "display:none"}">${aiHtml}</section>
|
|
|
|
<section class="section">
|
|
<h3>继续研读</h3>
|
|
<div class="dialogue-list paper-chat-list">
|
|
${chatRows
|
|
.map(
|
|
(row) => `
|
|
<div class="dialogue-row ${escapeHtml(row.role)}">
|
|
<strong>${row.role === "user" ? "你" : "Paper Agent"}</strong>
|
|
<div>${escapeHtml(row.content)}</div>
|
|
</div>
|
|
`,
|
|
)
|
|
.join("")}
|
|
</div>
|
|
<div class="followup-row">
|
|
<input id="paperChatInput" type="text" placeholder="继续问这篇论文，比如：实验设计有什么问题？和工程实践有什么关系？" />
|
|
<button class="tool-button primary" type="button" data-paper-chat>Ask</button>
|
|
</div>
|
|
</section>
|
|
|
|
<section class="section">
|
|
<h3>本地卡片</h3>
|
|
<div class="reader-box markdown-preview">${renderMarkdown(state.selectedMarkdown)}</div>
|
|
</section>
|
|
`;
|
|
}
|
|
|
|
async function loadAbstract() {
|
|
if (!state.selectedPaper) return;
|
|
setAiBusy(true, "摘要获取中");
|
|
try {
|
|
const payload = await api(`/api/paper/abstract?id=${encodeURIComponent(state.selectedPaper.id)}`);
|
|
const abstract = payload.abstract;
|
|
const html = abstract
|
|
? `<h3>arXiv Abstract</h3><div class="abstract-text">${escapeHtml(abstract.abstract)}</div>`
|
|
: `<div class="empty-state">${escapeHtml(payload.message || "No abstract")}</div>`;
|
|
renderPaperReader("", html);
|
|
} catch (error) {
|
|
renderPaperReader("", `<div class="empty-state">${escapeHtml(error.message)}</div>`);
|
|
} finally {
|
|
setAiBusy(false);
|
|
}
|
|
}
|
|
|
|
async function runPaperChat() {
|
|
if (!state.selectedPaper) return;
|
|
const input = $("#paperChatInput");
|
|
const question = input?.value.trim();
|
|
if (!question) return;
|
|
const paperId = state.selectedPaper.id;
|
|
const history = state.paperChatHistory[paperId] || [];
|
|
history.push({ role: "user", content: question });
|
|
history.push({ role: "assistant", content: "thinking..." });
|
|
state.paperChatHistory[paperId] = history;
|
|
const aiHtml = $("#paperAi")?.innerHTML || "";
|
|
const abstractHtml = $("#paperAbstract")?.innerHTML || "";
|
|
renderPaperReader(aiHtml, abstractHtml);
|
|
try {
|
|
const payload = await api("/api/paper/chat", {
|
|
method: "POST",
|
|
body: JSON.stringify({
|
|
id: paperId,
|
|
question,
|
|
history: history.slice(0, -1),
|
|
}),
|
|
});
|
|
history[history.length - 1] = {
|
|
role: "assistant",
|
|
content: `${payload.answer}\n\n${payload.model} · ${payload.duration_seconds}s`,
|
|
};
|
|
} catch (error) {
|
|
history[history.length - 1] = { role: "assistant", content: error.message };
|
|
}
|
|
state.paperChatHistory[paperId] = history;
|
|
renderPaperReader($("#paperAi")?.innerHTML || aiHtml, $("#paperAbstract")?.innerHTML || abstractHtml);
|
|
}
|
|
|
|
function setAiBusy(isBusy, label = "") {
|
|
state.aiBusy = isBusy;
|
|
document.querySelectorAll(".tool-button, .quiet-button").forEach((button) => {
|
|
button.disabled = isBusy;
|
|
});
|
|
if (isBusy) {
|
|
const box = $("#aiResult") || $("#paperAi");
|
|
if (box) {
|
|
box.style.display = "";
|
|
box.innerHTML = `<div class="empty-state">${escapeHtml(label)}</div>`;
|
|
}
|
|
}
|
|
}
|
|
|
|
function isLargeModel(model) {
|
|
const configuredLarge = state.health?.default_models?.deep;
|
|
return model === configuredLarge || /:(large|sol)$/i.test(model);
|
|
}
|
|
|
|
async function runPaperAi(mode) {
|
|
if (!state.selectedPaper) return;
|
|
const model = state.health?.default_models?.[mode] || (mode === "translate" ? "ChatGPT-5.6:Luna" : "ChatGPT-5.6:Terra");
|
|
if (isLargeModel(model) && !window.confirm("将调用 large 模型，占用更多 GPU。继续？")) return;
|
|
setAiBusy(true, `${mode} · ${model}`);
|
|
try {
|
|
const payload = await api("/api/ai", {
|
|
method: "POST",
|
|
body: JSON.stringify({ id: state.selectedPaper.id, mode, model }),
|
|
});
|
|
const cache = payload.cached ? "cached" : `${payload.duration_seconds}s`;
|
|
const html = `<h3>${escapeHtml(payload.model)} · ${escapeHtml(cache)}</h3><div class="ai-output">${escapeHtml(payload.response)}</div>`;
|
|
renderPaperReader(html, $("#paperAbstract")?.innerHTML || "");
|
|
} catch (error) {
|
|
renderPaperReader(`<div class="empty-state">${escapeHtml(error.message)}</div>`, $("#paperAbstract")?.innerHTML || "");
|
|
} finally {
|
|
setAiBusy(false);
|
|
}
|
|
}
|
|
|
|
async function runAtlasAi(mode, topic = "", topicB = "") {
|
|
const model = state.health?.default_models?.[mode] || "ChatGPT-5.6:Terra";
|
|
if (isLargeModel(model) && !window.confirm("将调用 large 模型做高维综合，占用更多 GPU。继续？")) return;
|
|
setAiBusy(true, `${mode} · ${model}`);
|
|
try {
|
|
const payload = await api("/api/atlas/ai", {
|
|
method: "POST",
|
|
body: JSON.stringify({ mode, topic, topic_b: topicB, model }),
|
|
});
|
|
const cache = payload.cached ? "cached" : `${payload.duration_seconds}s`;
|
|
const html = `<h3>${escapeHtml(payload.model)} · ${escapeHtml(cache)}</h3><div class="ai-output">${escapeHtml(payload.response)}</div>`;
|
|
if (mode === "topic" || (mode === "path" && state.topicFocus)) {
|
|
renderTopic(state.topicFocus, html);
|
|
} else {
|
|
renderOverview(html);
|
|
}
|
|
} catch (error) {
|
|
const html = `<div class="empty-state">${escapeHtml(error.message)}</div>`;
|
|
if (state.topicFocus) renderTopic(state.topicFocus, html);
|
|
else renderOverview(html);
|
|
} finally {
|
|
setAiBusy(false);
|
|
}
|
|
}
|
|
|
|
function setModeButtons(view) {
|
|
document.querySelectorAll("[data-view]").forEach((button) => {
|
|
button.classList.toggle("active", button.dataset.view === view);
|
|
});
|
|
}
|
|
|
|
function scrollLensIntoView() {
|
|
if (window.matchMedia("(max-width: 760px)").matches) {
|
|
document.querySelector(".lens-panel").scrollIntoView({ behavior: "smooth", block: "start" });
|
|
}
|
|
}
|
|
|
|
function bindEvents() {
|
|
elements.atlasSvg.addEventListener("click", async (event) => {
|
|
const node = event.target.closest("[data-topic]");
|
|
if (!node) return;
|
|
await selectTopic(node.dataset.topic);
|
|
scrollLensIntoView();
|
|
});
|
|
|
|
elements.routeList.addEventListener("click", (event) => {
|
|
const button = event.target.closest("[data-route]");
|
|
if (button) {
|
|
renderRoute(button.dataset.route);
|
|
scrollLensIntoView();
|
|
}
|
|
});
|
|
|
|
elements.lensBody.addEventListener("click", async (event) => {
|
|
const topicButton = event.target.closest("[data-topic]");
|
|
const routeButton = event.target.closest("[data-route]");
|
|
const paperButton = event.target.closest("[data-paper]");
|
|
const atlasAi = event.target.closest("[data-atlas-ai]");
|
|
const topicAi = event.target.closest("[data-topic-ai]");
|
|
const compareButton = event.target.closest("[data-compare-topic]");
|
|
const paperAction = event.target.closest("[data-paper-action]");
|
|
const readerAction = event.target.closest("[data-reader-action]");
|
|
const searchFollowup = event.target.closest("[data-search-followup]");
|
|
const paperChat = event.target.closest("[data-paper-chat]");
|
|
const searchExample = event.target.closest("[data-search-example]");
|
|
|
|
if (topicButton) {
|
|
await selectTopic(topicButton.dataset.topic);
|
|
scrollLensIntoView();
|
|
} else if (routeButton) {
|
|
renderRoute(routeButton.dataset.route);
|
|
} else if (paperButton) {
|
|
await selectPaper(paperButton.dataset.paper);
|
|
scrollLensIntoView();
|
|
} else if (atlasAi) {
|
|
await runAtlasAi(atlasAi.dataset.atlasAi, state.activeTopic);
|
|
} else if (topicAi) {
|
|
await runAtlasAi(topicAi.dataset.topicAi, state.activeTopic);
|
|
} else if (compareButton) {
|
|
await runAtlasAi("compare", state.activeTopic, compareButton.dataset.compareTopic);
|
|
} else if (paperAction) {
|
|
const action = paperAction.dataset.paperAction;
|
|
if (action === "abstract") await loadAbstract();
|
|
else await runPaperAi(action);
|
|
} else if (readerAction) {
|
|
if (state.topicFocus) renderTopic(state.topicFocus);
|
|
else renderOverview();
|
|
} else if (searchFollowup) {
|
|
await runSearchFollowup();
|
|
} else if (paperChat) {
|
|
await runPaperChat();
|
|
} else if (searchExample) {
|
|
elements.searchInput.value = searchExample.dataset.searchExample || "";
|
|
await runSearch();
|
|
}
|
|
});
|
|
elements.lensBody.addEventListener("keydown", async (event) => {
|
|
if (event.key === "Enter" && event.target.closest("#searchFollowupInput")) {
|
|
await runSearchFollowup();
|
|
}
|
|
if (event.key === "Enter" && event.target.closest("#paperChatInput")) {
|
|
await runPaperChat();
|
|
}
|
|
});
|
|
|
|
elements.searchBtn.addEventListener("click", runSearch);
|
|
elements.searchInput.addEventListener("keydown", (event) => {
|
|
if (event.key === "Enter") runSearch();
|
|
});
|
|
|
|
elements.explainAtlasBtn.addEventListener("click", () => runAtlasAi("atlas", state.activeTopic));
|
|
elements.readingPathBtn.addEventListener("click", () => runAtlasAi("path", state.activeTopic));
|
|
elements.closePaperBtn.addEventListener("click", () => {
|
|
if (state.topicFocus) renderTopic(state.topicFocus);
|
|
else renderOverview();
|
|
});
|
|
|
|
document.querySelectorAll("[data-view]").forEach((button) => {
|
|
button.addEventListener("click", async () => {
|
|
const view = button.dataset.view;
|
|
if (view === "atlas") {
|
|
state.activeTopic ? await selectTopic(state.activeTopic) : renderOverview();
|
|
} else if (view === "search") {
|
|
await runSearch();
|
|
} else {
|
|
renderReading();
|
|
}
|
|
scrollLensIntoView();
|
|
});
|
|
});
|
|
|
|
window.addEventListener(
|
|
"resize",
|
|
debounce(() => {
|
|
if (state.atlas) renderAtlasMap();
|
|
}, 150),
|
|
);
|
|
}
|
|
|
|
async function boot() {
|
|
bindEvents();
|
|
await loadHealth();
|
|
await loadAtlas();
|
|
loadChartEngine();
|
|
}
|
|
|
|
boot();
|