Spaces:
Running
Running
File size: 11,365 Bytes
d660fa9 f4542ce 54f8f0b f4542ce 54f8f0b 9ed53cc 54f8f0b 9ed53cc 54f8f0b 9ed53cc 54f8f0b f4542ce cad6357 f4542ce 9ed53cc f4542ce 9ed53cc cad6357 9ed53cc f4542ce | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 | /**
* SimCanvas — the fullscreen map renderer.
*
* Draws the campus map (day + night blend by clock), agents as colored
* dots with labels and glow, camera follow on focus, and drag-to-pan,
* with smooth exponential interpolation between tick positions.
*
* Architecture: the visual heart of the dashboard, fed entirely by the
* snapshot; no direct backend calls beyond fetching map image assets.
*
* Design: interpolation hides tick granularity; night overlay is a time-
* based alpha blend, not a separate simulation state.
*/
import { useEffect, useRef } from "react";
import { lerp } from "../utils/lerp";
const LERP_FACTOR = 0.12;
const CAM_LERP = 0.10;
function nightAlphaForHour(h) {
// 0.85 at 00–04 and 22–24, ~0 between 09 and 17, smooth ramps between.
if (h >= 22 || h < 5) return 0.82;
if (h >= 9 && h <= 16) return 0.0;
if (h >= 5 && h < 9) return 0.82 * (1 - (h - 5) / 4); // dawn ramp down
return 0.82 * ((h - 16) / 6); // dusk ramp up (17–22)
}
export default function SimCanvas({ snapshot, focusedId, onFocus }) {
const canvasRef = useRef(null);
const mapImgRef = useRef(null);
const nightImgRef = useRef(null);
const agentsRef = useRef({});
const rafRef = useRef(null);
const nightAlphaRef = useRef(0);
const camRef = useRef({ x: 0, y: 0, tx: 0, ty: 0, userPan: false });
const viewRef = useRef({ ox: 0, oy: 0, scale: 1 });
const focusRef = useRef(null);
useEffect(() => { focusRef.current = focusedId; }, [focusedId]);
// Read URLs from the backend so Hugging Face Space variables work at runtime.
useEffect(() => {
let disposed = false;
const tryLoadImage = (urls, filename, onLoaded) => {
const baseUrl = import.meta.env?.BASE_URL || "/";
const cleanBase = baseUrl.endsWith("/") ? baseUrl : baseUrl + "/";
const candidates = [...urls, filename, `./${filename}`, `/${filename}`, `${cleanBase}${filename}`];
let idx = 0;
const loadNext = () => {
if (idx >= candidates.length) return;
const img = new Image();
const src = candidates[idx++];
img.onload = () => { if (!disposed) onLoaded(img); };
img.onerror = () => loadNext();
img.src = src;
};
loadNext();
};
async function loadMaps() {
let assets = {};
try {
const response = await fetch(`${import.meta.env.BASE_URL}api/assets`);
if (!response.ok) throw new Error(`HTTP ${response.status}`);
assets = await response.json();
} catch (error) {
console.warn("Could not read remote map configuration; using local assets.", error);
}
if (disposed) return;
tryLoadImage(assets.map_image_url ? [assets.map_image_url] : [], "map.png", (img) => {
mapImgRef.current = img;
});
tryLoadImage(assets.night_image_url ? [assets.night_image_url] : [], "map_night.png", (img) => {
nightImgRef.current = img;
});
startLoop();
}
loadMaps();
return () => { disposed = true; };
}, []);
// Update targets from snapshot
useEffect(() => {
if (!snapshot?.agents) return;
if (snapshot.time) {
const h = parseInt(String(snapshot.time).split(":")[0], 10) || 0;
nightAlphaRef.current = nightAlphaForHour(h);
}
for (const [id, data] of Object.entries(snapshot.agents)) {
if (!agentsRef.current[id]) {
agentsRef.current[id] = { x: data.position.x, y: data.position.y };
}
const a = agentsRef.current[id];
a.tx = data.position.x;
a.ty = data.position.y;
a.color = data.color;
a.name = data.name;
a.activity = data.activity || "";
a.inConversation = data.in_conversation;
}
if (!rafRef.current) startLoop();
}, [snapshot]);
function startLoop() {
if (rafRef.current) return;
function tick() {
const canvas = canvasRef.current;
if (!canvas) { rafRef.current = null; return; }
const ctx = canvas.getContext("2d");
const W = (canvas.width = window.innerWidth);
const H = (canvas.height = window.innerHeight);
const img = mapImgRef.current;
ctx.clearRect(0, 0, W, H);
ctx.fillStyle = "#000000";
ctx.fillRect(0, 0, W, H);
const iw = img ? img.width : 1276;
const ih = img ? img.height : 1233;
const scale = Math.min(W / iw, H / ih) * 0.92;
const baseOx = (W - iw * scale) / 2;
const baseOy = (H - ih * scale) / 2;
// Camera: follow focused agent unless the user is panning.
const cam = camRef.current;
const fid = focusRef.current;
if (fid && agentsRef.current[fid] && !cam.userPan) {
const a = agentsRef.current[fid];
cam.tx = W / 2 - (baseOx + a.x * scale);
cam.ty = H / 2 - (baseOy + a.y * scale);
}
cam.x = lerp(cam.x, cam.tx, CAM_LERP);
cam.y = lerp(cam.y, cam.ty, CAM_LERP);
const ox = baseOx + cam.x, oy = baseOy + cam.y;
viewRef.current = { ox, oy, scale };
// advance dot positions
for (const id of Object.keys(agentsRef.current)) {
const a = agentsRef.current[id];
if (a.tx == null) continue;
a.x = lerp(a.x, a.tx, LERP_FACTOR);
a.y = lerp(a.y, a.ty, LERP_FACTOR);
}
ctx.save();
ctx.translate(ox, oy);
ctx.scale(scale, scale);
if (img) {
ctx.drawImage(img, 0, 0);
// Day/night blend: overlay the night map at a time-based opacity.
const na = nightAlphaRef.current;
if (nightImgRef.current && na > 0.01) {
ctx.globalAlpha = na;
ctx.drawImage(nightImgRef.current, 0, 0);
ctx.globalAlpha = 1;
}
} else {
// Procedural campus background fallback if image is loading or missing
ctx.fillStyle = "#000000";
ctx.fillRect(0, 0, iw, ih);
// Draw campus grid lines
ctx.strokeStyle = "rgba(255, 255, 255, 0.06)";
ctx.lineWidth = 1;
const step = 60;
for (let x = 0; x <= iw; x += step) {
ctx.beginPath(); ctx.moveTo(x, 0); ctx.lineTo(x, ih); ctx.stroke();
}
for (let y = 0; y <= ih; y += step) {
ctx.beginPath(); ctx.moveTo(0, y); ctx.lineTo(iw, y); ctx.stroke();
}
// Campus boundary border
ctx.strokeStyle = "rgba(212, 160, 74, 0.4)";
ctx.lineWidth = 3;
ctx.strokeRect(0, 0, iw, ih);
// Campus title label
ctx.fillStyle = "rgba(255, 255, 255, 0.35)";
ctx.font = "14px 'Space Mono', monospace";
ctx.textAlign = "center";
ctx.fillText("VALHALLA CAMPUS MAP", iw / 2, 40);
}
// draw agents
for (const id of Object.keys(agentsRef.current)) {
const a = agentsRef.current[id];
if (a.x == null) continue;
const focused = id === fid;
const r = focused ? 7 : 4;
// glow / focus ring
const glowR = focused ? 22 : 11;
const glow = ctx.createRadialGradient(a.x, a.y, 0, a.x, a.y, glowR);
glow.addColorStop(0, (a.color || "#fff") + (focused ? "90" : "50"));
glow.addColorStop(1, (a.color || "#fff") + "00");
ctx.beginPath();
ctx.arc(a.x, a.y, glowR, 0, Math.PI * 2);
ctx.fillStyle = glow;
ctx.fill();
if (a.inConversation) {
ctx.beginPath();
ctx.arc(a.x, a.y, r + 5, 0, Math.PI * 2);
ctx.strokeStyle = "#d4a04a";
ctx.lineWidth = 1.5;
ctx.stroke();
}
ctx.beginPath();
ctx.arc(a.x, a.y, r, 0, Math.PI * 2);
ctx.fillStyle = a.color || "#fff";
ctx.fill();
ctx.strokeStyle = focused ? "#fff" : "rgba(255,255,255,0.7)";
ctx.lineWidth = focused ? 2 : 1.2;
ctx.stroke();
// labels (name + short activity)
const fontPx = Math.max(9, 11 / scale);
ctx.font = `${fontPx}px 'Outfit', sans-serif`;
ctx.textAlign = "center";
ctx.fillStyle = "#fff";
ctx.strokeStyle = "rgba(0,0,0,0.7)";
ctx.lineWidth = 3 / scale;
const ly = a.y - r - 6 / scale;
ctx.strokeText(a.name || id, a.x, ly);
ctx.fillText(a.name || id, a.x, ly);
if (focused && a.activity) {
const af = Math.max(8, 9 / scale);
ctx.font = `${af}px 'Space Mono', monospace`;
ctx.fillStyle = "#d4a04a";
const act = a.activity.length > 40 ? a.activity.slice(0, 40) + "…" : a.activity;
ctx.strokeText(act, a.x, a.y + r + 12 / scale);
ctx.fillText(act, a.x, a.y + r + 12 / scale);
}
}
ctx.restore();
// vignette
const vig = ctx.createRadialGradient(W / 2, H / 2, H * 0.15, W / 2, H / 2, H * 0.78);
vig.addColorStop(0, "rgba(0,0,0,0)");
vig.addColorStop(1, "rgba(0,0,0,0.5)");
ctx.fillStyle = vig;
ctx.fillRect(0, 0, W, H);
rafRef.current = requestAnimationFrame(tick);
}
rafRef.current = requestAnimationFrame(tick);
}
// Click-to-focus + drag-to-pan
useEffect(() => {
const canvas = canvasRef.current;
if (!canvas) return;
let dragging = false, moved = false, sx = 0, sy = 0, startCam = null;
function onDown(e) {
dragging = true; moved = false;
sx = e.clientX; sy = e.clientY;
startCam = { ...camRef.current };
}
function onMove(e) {
if (!dragging) return;
const dx = e.clientX - sx, dy = e.clientY - sy;
if (Math.abs(dx) + Math.abs(dy) > 4) moved = true;
camRef.current.userPan = true;
camRef.current.tx = startCam.tx + dx;
camRef.current.ty = startCam.ty + dy;
}
function onUp(e) {
dragging = false;
if (moved) return;
// treat as a click: hit-test agents
const { ox, oy, scale } = viewRef.current;
const mx = (e.clientX - ox) / scale;
const my = (e.clientY - oy) / scale;
let best = null, bestD = 18 / scale;
for (const id of Object.keys(agentsRef.current)) {
const a = agentsRef.current[id];
const d = Math.hypot(a.x - mx, a.y - my);
// Names are rendered above the marker, so make the visible name area
// clickable too. This keeps the map as the sole, uncluttered roster.
const nameHalfWidth = Math.max(22, (a.name || id).length * 3.6) / scale;
const inName = Math.abs(a.x - mx) <= nameHalfWidth
&& my >= a.y - 24 / scale
&& my <= a.y - 2 / scale;
if (inName || d < bestD) { bestD = d; best = id; }
}
if (onFocus) {
if (best) { camRef.current.userPan = false; onFocus(best); }
else onFocus(null);
}
}
canvas.addEventListener("mousedown", onDown);
window.addEventListener("mousemove", onMove);
window.addEventListener("mouseup", onUp);
const onResize = () => { if (!rafRef.current) startLoop(); };
window.addEventListener("resize", onResize);
return () => {
canvas.removeEventListener("mousedown", onDown);
window.removeEventListener("mousemove", onMove);
window.removeEventListener("mouseup", onUp);
window.removeEventListener("resize", onResize);
cancelAnimationFrame(rafRef.current);
rafRef.current = null;
};
}, [onFocus]);
return (
<canvas
ref={canvasRef}
style={{ position: "fixed", top: 0, left: 0, cursor: "grab", display: "block" }}
/>
);
}
|