import {z} from 'zod'

export type ServiceTier = 'auto' | 'default' | 'over-limit' | 'flex' | 'no-limit';

export type EmbeddingRequest = {model: string, input: string | Array<number> | Array<string> | Array<Array<number>>, encoding_format?: (string | null) | undefined, user?: (string | null) | undefined, service_tier?: ServiceTier | undefined, dimensions?: (number | null) | undefined};

export type CreateApiV1EmbeddingsArgs = {ai_project_id?: (string | null) | undefined, body: EmbeddingRequest};

export type CreateApiV1EmbeddingsOptions = {baseUrl?: string | undefined, HTTPBearer?: string | undefined, fetch?: typeof fetch | undefined};

export const promptTokensDetails = z.object({cached_tokens: z.number().int().nullable().optional()});

export const completionTokensDetails = z.object({reasoning_tokens: z.number().int().nullable().optional()});

export const usage = z.object({completion_tokens: z.number().int(), prompt_tokens: z.number().int(), total_tokens: z.number().int(), prompt_tokens_details: promptTokensDetails.nullable().optional(), completion_tokens_details: completionTokensDetails.nullable().optional()});

export const embedding = z.object({object: z.string(), embedding: z.union([z.array(z.number()), z.string()]), index: z.number().int()});

export const serviceTier = z.enum(["auto", "default", "over-limit", "flex", "no-limit"]);

export const embeddingResponse = z.object({object: z.string(), model: z.string(), usage: usage, data: z.array(embedding), service_tier: serviceTier});

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 embeddings
 * 
 * POST /v1/embeddings
 */
export const createApiV1Embeddings = async (args: CreateApiV1EmbeddingsArgs, options?: CreateApiV1EmbeddingsOptions) => {
const {baseUrl = "https://api.tokenfactory.nebius.com", fetch: fetchFn = fetch, HTTPBearer} = options ?? {}

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

if (args.ai_project_id != null) query.append("ai_project_id", String(args.ai_project_id))
if (HTTPBearer !== undefined) headers.set('authorization', `Bearer ${HTTPBearer}`)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/embeddings${query.size > 0 ? `?${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(embeddingResponse, await res.json())
};