export interface Document {
  id: string;
  content: string;
  metadata: DocumentMetadata;
  source: string;
  chunks?: DocumentChunk[];
}

export interface DocumentMetadata {
  title?: string;
  author?: string;
  createdAt: Date;
  updatedAt: Date;
  fileType: string;
  fileSize: number;
  language?: string;
  tags?: string[];
  categories?: string[];
  description?: string;
}

export interface DocumentChunk {
  id: string;
  content: string;
  metadata: ChunkMetadata;
  embedding?: number[];
}

export interface ChunkMetadata {
  documentId: string;
  chunkIndex: number;
  startOffset: number;
  endOffset: number;
  tokens: number;
  source: string;
}

export interface SearchResult {
  chunk: DocumentChunk;
  score: number;
  document: Document;
}

export interface EmbeddingModel {
  embed(text: string): Promise<number[]>;
  embedBatch(texts: string[]): Promise<number[][]>;
}

export interface VectorStore {
  addDocuments(documents: Document[]): Promise<void>;
  search(query: string, k?: number): Promise<SearchResult[]>;
  delete(documentId: string): Promise<void>;
  update(document: Document): Promise<void>;
}

export interface RAGConfig {
  embeddingModel: string;
  chunkSize: number;
  chunkOverlap: number;
  vectorStorePath: string;
  supabaseConfig: {
    url: string;
    anonKey: string;
    bucket: string;
  };
  llmConfig: {
    modelName: string;
    temperature: number;
    maxTokens: number;
    apiKey: string;
  };
}

export interface ChatMessage {
  id: string;
  role: "user" | "assistant" | "system";
  content: string;
  timestamp: Date;
  updatedAt?: Date;
  metadata?: {
    sources?: SearchResult[];
    model?: string;
    tokenCount?: number;
    error?: string;
    [key: string]: any;
  };
}

export interface ConversationContext {
  id: string;
  messages: ChatMessage[];
  sessionId?: string;
  userId?: string;
  createdAt: Date;
  updatedAt: Date;
  metadata?: Record<string, any>;
}