import {z} from 'zod'

export type CreateIndexRequest = {name: string, region: 'eu-west-1' | 'us-east-1' | 'us-central1', similarity_function: 'COSINE' | 'EUCLIDEAN' | 'DOT_PRODUCT', dimension_count: number, type?: ('payg' | 'fixed' | 'paid') | undefined, embedding_model?: ('BGE_SMALL_EN_V1_5' | 'BGE_BASE_EN_V1_5' | 'BGE_LARGE_EN_V1_5' | 'BGE_M3') | undefined, index_type?: ('DENSE' | 'SPARSE' | 'HYBRID') | undefined, sparse_embedding_model?: ('BM25' | 'BGE_M3') | undefined};

export type CreateApiVectorIndexArgs = {body: CreateIndexRequest};

export type CreateApiVectorIndexOptions = {baseUrl?: string | undefined, basicAuth?: {username: string, password: string} | undefined, fetch?: typeof fetch | undefined};

export const timeSeriesData = z.object({x: z.string(), y: z.number()});

export const vectorIndex = z.object({customer_id: z.string().optional(), id: z.string().optional(), name: z.string().optional(), similarity_function: z.enum(["COSINE", "EUCLIDEAN", "DOT_PRODUCT"]).optional(), dimension_count: z.number().optional(), embedding_model: z.enum(["BGE_SMALL_EN_V1_5", "BGE_BASE_EN_V1_5", "BGE_LARGE_EN_V1_5", "BGE_M3"]).optional(), sparse_embedding_model: z.enum(["BM25", "BGE_M3"]).optional(), endpoint: z.string().optional(), token: z.string().optional(), read_only_token: z.string().optional(), type: z.enum(["free", "payg", "fixed"]).optional(), region: z.enum(["eu-west-1", "us-east-1", "us-central1"]).optional(), max_vector_count: z.number().optional(), max_daily_updates: z.number().optional(), max_daily_queries: z.number().optional(), max_monthly_bandwidth: z.number().optional(), max_writes_per_second: z.number().optional(), max_query_per_second: z.number().optional(), max_reads_per_request: z.number().optional(), max_writes_per_request: z.number().optional(), max_total_metadata_size: z.number().optional(), reserved_price: z.number().optional(), creation_time: z.number().optional(), index_type: z.enum(["DENSE", "SPARSE", "HYBRID"]).optional(), throughput_vector: z.array(timeSeriesData).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
};

/**
 * Create Index
 * 
 * POST /vector/index
 */
export const createApiVectorIndex = async (args: CreateApiVectorIndexArgs, options?: CreateApiVectorIndexOptions) => {
const {baseUrl = "https://api.upstash.com/v2", fetch: fetchFn = fetch, basicAuth} = options ?? {}

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

if (basicAuth !== undefined) headers.set('authorization', `Basic ${btoa(`${basicAuth.username}:${basicAuth.password}`)}`)

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

const res = await fetchFn(url, {method: "POST", headers, body: JSON.stringify(args.body)})

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

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