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import { getRpcBaseUrl } from '@/services/rpc-client';
import { createCircuitBreaker } from '@/utils';
import { SITE_VARIANT } from '@/config';
import { getHydratedData } from '@/services/bootstrap';
export interface PredictionMarket {
title: string;
yesPrice: number; // 0-100 scale (legacy compat)
volume?: number;
url?: string;
endDate?: string;
source?: 'polymarket' | 'kalshi';
regions?: string[];
}
function isExpired(endDate?: string): boolean {
if (!endDate) return false;
const ms = Date.parse(endDate);
return Number.isFinite(ms) && ms < Date.now();
}
const breaker = createCircuitBreaker<PredictionMarket[]>({ name: 'Polymarket', cacheTtlMs: 10 * 60 * 1000, persistCache: true });
const client = new PredictionServiceClient(getRpcBaseUrl(), { fetch: (...args) => globalThis.fetch(...args) });
import predictionTags from '../../../scripts/data/prediction-tags.json';
import { PredictionServiceClient } from '@/services/generated-rpc-clients';
const GEOPOLITICAL_TAGS = predictionTags.geopolitical;
const TECH_TAGS = predictionTags.tech;
const FINANCE_TAGS = predictionTags.finance;
interface BootstrapPredictionData {
geopolitical: PredictionMarket[];
tech: PredictionMarket[];
finance?: PredictionMarket[];
fetchedAt: number;
}
const REGION_PATTERNS: Record<string, RegExp> = {
america: /\b(us|u\.s\.|united states|america|trump|biden|congress|federal reserve|canada|mexico|brazil)\b/i,
eu: /\b(europe|european|eu|nato|germany|france|uk|britain|macron|ecb)\b/i,
mena: /\b(middle east|iran|iraq|syria|israel|palestine|gaza|saudi|yemen|houthi|lebanon)\b/i,
asia: /\b(china|japan|korea|india|taiwan|xi jinping|asean)\b/i,
latam: /\b(latin america|brazil|argentina|venezuela|colombia|chile)\b/i,
africa: /\b(africa|nigeria|south africa|ethiopia|sahel|kenya)\b/i,
oceania: /\b(australia|new zealand)\b/i,
};
function tagRegions(title: string): string[] {
return Object.entries(REGION_PATTERNS)
.filter(([, re]) => re.test(title))
.map(([region]) => region);
}
function protoToMarket(m: { title: string; yesPrice: number; volume: number; url: string; closesAt: number; category: string; source?: string }): PredictionMarket {
return {
title: m.title,
yesPrice: m.yesPrice * 100,
volume: m.volume,
url: m.url || undefined,
endDate: m.closesAt ? new Date(m.closesAt).toISOString() : undefined,
source: m.source === 'MARKET_SOURCE_KALSHI' ? 'kalshi' : 'polymarket',
regions: tagRegions(m.title),
};
}
export async function fetchPredictions(opts?: { region?: string }): Promise<PredictionMarket[]> {
const markets = await breaker.execute(async () => {
const hydrated = getHydratedData('predictions') as BootstrapPredictionData | undefined;
if (hydrated?.fetchedAt && Date.now() - hydrated.fetchedAt < 40 * 60 * 1000) {
const variant = SITE_VARIANT === 'tech' ? hydrated.tech
: SITE_VARIANT === 'finance' ? (hydrated.finance ?? hydrated.geopolitical)
: hydrated.geopolitical;
if (variant && variant.length > 0) {
return variant
.filter(m => !isExpired(m.endDate))
.slice(0, 25)
.map(m => m.source ? m : { ...m, source: 'polymarket' as const });
}
}
const tags = SITE_VARIANT === 'tech' ? TECH_TAGS
: SITE_VARIANT === 'finance' ? FINANCE_TAGS
: GEOPOLITICAL_TAGS;
const rpcResults = await client.listPredictionMarkets({
category: tags[0] ?? '',
query: '',
pageSize: 50,
cursor: '',
});
if (rpcResults.markets && rpcResults.markets.length > 0) {
return rpcResults.markets
.map(protoToMarket)
.filter(m => !isExpired(m.endDate))
.filter(m => m.yesPrice >= 10 && m.yesPrice <= 90)
.sort((a, b) => {
const aUncertainty = 1 - (2 * Math.abs(a.yesPrice - 50) / 100);
const bUncertainty = 1 - (2 * Math.abs(b.yesPrice - 50) / 100);
return bUncertainty - aUncertainty;
})
.slice(0, 25);
}
throw new Error('No markets returned — upstream may be down');
}, []);
if (opts?.region && opts.region !== 'global' && markets.length > 0) {
const sorted = [...markets];
sorted.sort((a, b) => {
const aMatch = a.regions?.includes(opts.region!) ? 1 : 0;
const bMatch = b.regions?.includes(opts.region!) ? 1 : 0;
return bMatch - aMatch;
});
return sorted.slice(0, 15);
}
return markets.slice(0, 15);
}
const COUNTRY_SEARCH_ALIASES: Record<string, string[]> = {
'United States': ['US', 'America', 'American', 'Trump', 'Biden', 'Fed', 'tariff'],
'United Kingdom': ['UK', 'Britain', 'British'],
'South Korea': ['Korea'],
'United Arab Emirates': ['UAE', 'Dubai', 'Abu Dhabi'],
'Saudi Arabia': ['Saudi', 'MBS'],
'North Korea': ['DPRK', 'Pyongyang', 'Kim Jong'],
};
function countrySearchTerms(country: string): string[] {
const terms = [country];
const aliases = COUNTRY_SEARCH_ALIASES[country];
if (aliases) terms.push(...aliases);
return terms;
}
function matchesCountryTerms(title: string, terms: string[]): boolean {
return terms.some(t => new RegExp(`\\b${t.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}\\b`, 'i').test(title));
}
export async function fetchCountryMarkets(country: string): Promise<PredictionMarket[]> {
const terms = countrySearchTerms(country);
const allMarkets: PredictionMarket[] = [];
// Try RPC across geopolitics + finance + tech (parallel; together they cover
// every pool). `tech` is not optional here: since #5733 made the producer's
// pools a disjoint partition, a tech-classified country market (a Chinese AI
// model line, say) lives ONLY in the tech pool, and the early return below
// fires as soon as any geopolitics/economy match is found — so without this
// category the bootstrap fallback that also unions tech would never be reached
// for any country that has a single geo or finance market.
const rpcResults = await Promise.allSettled(
(['geopolitics', 'economy', 'tech'] as const).map(category =>
client.listPredictionMarkets({ category, query: country, pageSize: 30, cursor: '' })
)
);
for (const result of rpcResults) {
if (result.status === 'fulfilled' && result.value.markets?.length) {
allMarkets.push(...result.value.markets.map(protoToMarket).filter(m => !isExpired(m.endDate)));
}
}
if (allMarkets.length > 0) {
// Filter by any matching term, deduplicate by URL, sort by volume
const matched = allMarkets
.filter(m => matchesCountryTerms(m.title, terms))
.filter((m, i, arr) => arr.findIndex(x => x.url === m.url) === i)
.sort((a, b) => (b.volume ?? 0) - (a.volume ?? 0))
.slice(0, 5);
if (matched.length > 0) return matched;
}
// Fallback: search bootstrap data across all buckets. `tech` must be included
// explicitly — until #5733 the geopolitical bucket was an unfiltered copy of
// every market, so omitting tech here was invisible; now the buckets are a
// disjoint partition and a tech-classified country market (e.g. a Chinese AI
// model line) would be unreachable without it.
const hydrated = getHydratedData('predictions') as BootstrapPredictionData | undefined;
if (hydrated) {
const buckets = [...(hydrated.geopolitical ?? []), ...(hydrated.tech ?? []), ...(hydrated.finance ?? [])];
const filtered = buckets
.filter(m => !isExpired(m.endDate) && matchesCountryTerms(m.title, terms))
.sort((a, b) => (b.volume ?? 0) - (a.volume ?? 0))
.slice(0, 5);
if (filtered.length > 0) return filtered;
}
return [];
}
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