import {z} from 'zod'

export type ModelInput = {name: string, pattern: string, unit: 'TOKENS' | 'CHARACTERS' | 'MILLISECONDS', inputCost: number, outputCost: number, tokenizer?: string | undefined, startDate?: string | undefined};

export type CreateApiV1ModelsArgs = {body: ModelInput};

export type CreateApiV1ModelsOptions = {baseUrl?: string | undefined, ProjectPrivateApiKeyAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const model = z.object({id: z.string().optional(), name: z.string().optional(), pattern: z.string().optional(), unit: z.enum(["TOKENS", "CHARACTERS", "MILLISECONDS"]).optional(), inputCost: z.number().optional(), outputCost: z.number().optional(), tokenizer: z.string().optional(), startDate: z.string().optional(), createdAt: z.string().optional(), updatedAt: 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
};

/**
 * Create a new model
 * 
 * POST /v1/models
 */
export const createApiV1Models = async (args: CreateApiV1ModelsArgs, options?: CreateApiV1ModelsOptions) => {
const {baseUrl = "https://api.lunary.ai", fetch: fetchFn = fetch, ProjectPrivateApiKeyAuth} = options ?? {}

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

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

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