85 lines
3.4 KiB
TypeScript
85 lines
3.4 KiB
TypeScript
export const APP_URL = process.env.APP_URL ?? 'http://host.docker.internal:3001';
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export const DASHBOARD_PATH = '/dashboard';
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export const AUTH_STATE_PATH = 'auth.json';
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export const OUTPUT_DIR = 'output';
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const aspect = process.env.ASPECT ?? '16x9';
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export const VIEWPORT =
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aspect === '9x16' ? { width: 1080, height: 1920 } : { width: 1920, height: 1080 };
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export const CAPTURE_SCALE = Math.max(1, Number(process.env.CAPTURE_SCALE ?? 1.5));
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export const VIDEO_SIZE = {
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width: VIEWPORT.width,
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height: VIEWPORT.height,
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};
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export const WEBM_BITRATE = process.env.WEBM_BITRATE ?? (CAPTURE_SCALE > 1 ? '18M' : '8M');
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// Cold-open prompt. Punchy version of the user's intent — short enough that
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// the typing animation fits in the AI scene without throttling pushing past
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// the trim window. Each char costs ~80ms wall under boot CPU load.
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export const PROMPT_TEXT =
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process.env.PROMPT_TEXT ?? 'Flats or terraces <£450k, 35 min to Manchester, low crime';
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// Filters returned by the AI stub. Keys MUST match real feature names from
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// /api/features (verified against the running server's schema).
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export const STUBBED_FILTERS: Record<string, [number, number] | string[]> = {
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'Property type': ['Flats/Maisonettes', 'Terraced'],
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'Estimated current price': [175000, 450000],
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'Serious crime per 1k residents (avg/yr)': [0, 55],
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'Noise (dB)': [50, 68],
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};
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// Travel-time filters returned by the AI stub. Slug matches the real
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// /api/travel-destinations?mode=transit response.
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export const STUBBED_TRAVEL_TIME_FILTERS: {
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mode: 'transit' | 'car' | 'bicycle' | 'walking';
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slug: string;
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label: string;
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min?: number;
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max?: number;
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}[] = [
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{
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mode: 'transit',
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slug: 'manchester',
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label: 'Manchester city centre',
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max: 35,
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},
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];
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// The travel-time card we'll drag manually after AI applies. The Filters
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// component renders each travel-time entry with `data-filter-name="tt_${i}"`,
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// and our stub only sets one entry, so it's tt_0.
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export const TT_CARD_SELECTOR = '[data-filter-name="tt_0"]';
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export const TT_SLIDER_MAX = 120;
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export const TT_DRAG_FROM_MIN = 35; // matches AI stub max above
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export const TT_DRAG_TO_MIN = 20;
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// Cold-open zoom: how aggressively to magnify the AI box.
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// 2.4 fills most of the viewport with the prompt card without blowing up text.
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export const AI_ZOOM_SCALE = Number(process.env.AI_ZOOM_SCALE ?? 2.4);
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// Initial map view used while we navigate. The AI scene zooms in on the
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// sidebar so this only matters once we zoom out.
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export const INITIAL_MAP_VIEW = {
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lat: 53.4795,
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lon: -2.2451,
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zoom: 11.5,
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};
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// Verification guard only. The renderer no longer uses this as an editing cap:
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// if the storyboard needs more than 15 seconds to avoid jumps, keep the frames.
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export const MAX_DURATION_S = Number(process.env.MAX_DURATION_S ?? 45);
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export const MIN_DURATION_S = Number(process.env.MIN_DURATION_S ?? 10);
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// Slow down all interactions while recording, then speed the output back up in
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// ffmpeg. A higher scale makes rendering take longer, but gives the 25fps raw
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// recorder enough unique frames for a smooth 50fps final without shortcut cuts.
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export const RECORD_SCALE = Math.max(1, Number(process.env.RECORD_SCALE ?? 3.5));
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// Target fps of the FINAL output.
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export const OUTPUT_FPS = Number(process.env.OUTPUT_FPS ?? 50);
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// Brand strings for the outro card.
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export const BRAND_NAME = 'Perfect Postcode';
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export const BRAND_TAGLINE = 'Find where you actually want to live.';
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export const BRAND_URL = 'https://perfect-postcode.co.uk';
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