import {z} from 'zod'

export type GetApiApiKbCollectionsOptions = {baseUrl: string, HTTPBearer?: string | undefined, fetch?: typeof fetch | undefined};

export const collectionDocumentMetadata = z.object({filename: z.string(), file_id: z.string().nullable().optional(), doc_id: z.string().nullable().optional()});

export const parseMethod = z.enum(["default", "pypdf", "pdfplumber", "unstructured", "pymupdf", "deepdoc"]);

export const chunkStrategy = z.enum(["recursive", "fixed_size", "markdown"]);

export const ingestionConfig = z.object({deepdoc_processing_mode: z.string().nullable().optional(), deepdoc_parallel_threads: z.number().int().gte(1).nullable().optional(), deepdoc_reserve_cpu: z.number().int().gte(0).nullable().optional(), deepdoc_limiter_capacity: z.number().int().gte(1).nullable().optional(), deepdoc_pipeline_monitor: z.boolean().nullable().optional(), deepdoc_pipeline_s1_workers: z.number().int().gte(1).nullable().optional(), deepdoc_gpu_sessions: z.number().int().gte(0).nullable().optional(), embedding_base_url: z.string().nullable().optional(), embedding_api_key: z.string().nullable().optional(), embedding_timeout_sec: z.number().gt(0).nullable().optional(), rerank_model_id: z.string().nullable().optional(), parse_method: parseMethod.optional(), chunk_strategy: chunkStrategy.optional(), chunk_method: z.string().nullable().optional(), chunk_size: z.number().int().gt(0).nullable().optional(), chunk_overlap: z.number().int().gte(0).optional(), headers_to_split_on: z.array(z.array(z.unknown())).nullable().optional(), separators: z.array(z.string()).nullable().optional(), use_token_count: z.boolean().optional(), tiktoken_encoding: z.string().optional(), enable_protected_content: z.boolean().optional(), protected_patterns: z.array(z.string()).nullable().optional(), table_context_size: z.number().int().gte(0).optional(), image_context_size: z.number().int().gte(0).optional(), embedding_model_id: z.string().nullable().optional(), collection_locked: z.boolean().optional(), allow_mixed_parse_methods: z.boolean().optional(), skip_config_validation: z.boolean().optional(), embedding_batch_size: z.number().int().gt(0).optional(), embedding_concurrent: z.number().int().gt(0).optional(), embedding_use_async: z.boolean().optional(), max_retries: z.number().int().gte(0).optional(), retry_delay: z.number().gte(0).optional()});

export const collectionInfo = z.object({schema_version: z.string().optional(), name: z.string(), embedding_model_id: z.string().nullable().optional(), embedding_dimension: z.number().int().gte(0).nullable().optional(), rerank_model_id: z.string().nullable().optional(), documents: z.number().int().optional(), processed_documents: z.number().int().optional(), parses: z.number().int().optional(), chunks: z.number().int().optional(), embeddings: z.number().int().optional(), document_names: z.array(z.string()).optional(), document_metadata: z.array(collectionDocumentMetadata).optional(), owners: z.array(z.number().int()).optional(), collection_locked: z.boolean().optional(), allow_mixed_parse_methods: z.boolean().optional(), skip_config_validation: z.boolean().optional(), ingestion_config: ingestionConfig.nullable().optional(), created_at: z.string().optional(), updated_at: z.string().optional(), last_accessed_at: z.string().optional(), extra_metadata: z.record(z.string(), z.unknown()).optional()});

export const listCollectionsResult = z.object({status: z.string(), collections: z.array(collectionInfo).optional(), total_count: z.number().int(), message: z.string(), warnings: z.array(z.string()).optional()});

export const validateResponse = async <Output>(
  schema: {
    readonly '~standard': {
      readonly validate: (value: unknown) => ({ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray<PropertyKey | { readonly key: PropertyKey }> | undefined }> }) | Promise<{ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray<PropertyKey | { readonly key: PropertyKey }> | undefined }> }>
    }
  },
  value: unknown
): Promise<Output> => {
  const result = await schema['~standard'].validate(value)

  if (result.issues !== undefined) {
    const detail = result.issues
      .map(({ message, path }) =>
        path?.length
          ? `${path.map((segment) => String(typeof segment === 'object' ? segment.key : segment)).join('.')}: ${message}`
          : message
      )
      .join('; ')

    throw new Error(`Response does not match the schema: ${detail}`, { cause: { issues: result.issues } })
  }

  return result.value
};

/**
 * List Collections Api
 * 
 * GET /api/kb/collections
 */
export const getApiApiKbCollections = async (options: GetApiApiKbCollectionsOptions) => {
const {baseUrl, fetch: fetchFn = fetch, HTTPBearer} = options ?? {}

const query = new URLSearchParams()
const headers = new Headers()
headers.set('accept', "application/json")

if (HTTPBearer !== undefined) headers.set('authorization', `Bearer ${HTTPBearer}`)

const url = `${baseUrl.replace(/\/+$/, '')}/api/kb/collections${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "GET", headers})

if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}})

return validateResponse(listCollectionsResult, await res.json())
};