import 'dotenv/config';

const num = (v: string | undefined, d: number) => (v === undefined || v === '' ? d : Number(v));

export const env = {
  port: num(process.env.PORT, 3100),
  databaseUrl: process.env.DATABASE_URL ?? 'postgres://ontology:ontology@localhost:55432/ontology',
  redis: {
    host: process.env.REDIS_HOST ?? 'localhost',
    port: num(process.env.REDIS_PORT, 56379),
  },
  llm: {
    provider: (process.env.LLM_PROVIDER ?? 'mock') as 'mock' | 'openai',
    apiKey: process.env.OPENAI_API_KEY ?? '',
    model: process.env.OPENAI_MODEL ?? 'gpt-4.1-mini',
    embeddingModel: process.env.OPENAI_EMBEDDING_MODEL ?? 'text-embedding-3-small',
  },
  embedding: {
    provider: (process.env.EMBEDDING_PROVIDER ?? 'local') as 'mock' | 'local' | 'openai',
    localModel: process.env.EMBEDDING_LOCAL_MODEL ?? 'Xenova/multilingual-e5-small',
  },
  dedup: {
    cosineThreshold: num(process.env.DEDUP_COSINE_THRESHOLD, 0.99),
    trigramThreshold: num(process.env.DEDUP_TRIGRAM_THRESHOLD, 0.6),
    candidateLimit: num(process.env.DEDUP_CANDIDATE_LIMIT, 20),
  },
  generation: {
    targetKeywords: num(process.env.GENERATION_TARGET_KEYWORDS, 15),
    refreshIntervalDays: num(process.env.REFRESH_INTERVAL_DAYS, 30),
  },
} as const;

export const EMBEDDING_DIM = 384;
export const PROMPT_VERSION = 'kw-v1';