import { createExperienceEmbeddingSemanticRanker, type EmbeddingProvider, type ExperienceRepository, type ExperienceSemanticRanker, } from '@portfolio/chat-data'; import { createOpenAIEmbeddingProvider } from './embedding';

const DEFAULT_EXPERIENCE_EMBEDDING_MODEL = 'text-embedding-3-large'; const DEFAULT_EXPERIENCE_SEMANTIC_SCORE = 8;

type CreateExperienceSemanticRankerOptions = { experienceRepository: ExperienceRepository; embeddingProvider?: EmbeddingProvider | null; getEmbeddingClient?: () => Promise<import('openai').OpenAI | null>; scoreScale?: number; embeddingModel?: string; };

export function createExperienceSemanticRanker( options: CreateExperienceSemanticRankerOptions ): ExperienceSemanticRanker { const { experienceRepository, embeddingProvider, getEmbeddingClient, scoreScale, embeddingModel } = options;

const resolvedEmbeddingProvider = embeddingProvider ?? (getEmbeddingClient ? createOpenAIEmbeddingProvider({ model: embeddingModel?.trim() || DEFAULT_EXPERIENCE_EMBEDDING_MODEL, getClient: getEmbeddingClient, logScope: 'chat-resume-search', }) : { async embedTexts(texts: string[]): Promise<number[][]> { return texts.map(() => []); }, });

return createExperienceEmbeddingSemanticRanker({ embeddingProvider: resolvedEmbeddingProvider, experienceRepository, scoreScale: typeof scoreScale === 'number' ? scoreScale : DEFAULT_EXPERIENCE_SEMANTIC_SCORE, }); }

export type { ExperienceSemanticRanker };