import {z} from 'zod'

export type GetApiApiV1AutoscientistArgs = {limit?: number | undefined, cursor?: string | undefined, dataset_id?: string | undefined};

export type GetApiApiV1AutoscientistOptions = {baseUrl: string, bearer?: string | undefined, fetch?: typeof fetch | undefined};

export const publicAutoScientistHyperparamsDto = z.object({training_type: z.enum(["lora", "full"]).optional(), n_epochs: z.number().gte(1).lte(20).optional(), learning_rate: z.number().gte(1e-8).lte(0.01).optional(), batch_size: z.union([z.literal("max"), z.number().int().gte(1)]).optional(), lora_r: z.number().gte(1).lte(64).optional(), lora_alpha: z.number().optional(), lora_dropout: z.number().gte(0).lte(1).optional(), lora_trainable_modules: z.string().optional(), lr_scheduler_type: z.enum(["linear", "cosine"]).optional(), min_lr_ratio: z.number().gte(0).lte(1).optional(), scheduler_num_cycles: z.number().gt(0).lte(4).optional(), warmup_ratio: z.number().gte(0).lte(1).optional(), max_grad_norm: z.number().gte(0).optional(), weight_decay: z.number().gte(0).optional(), train_on_inputs: z.boolean().optional(), dpo_beta: z.number().gte(0.05).lte(0.9).optional(), dpo_normalize_logratios_by_length: z.boolean().optional(), rpo_alpha: z.number().gte(0).optional(), simpo_gamma: z.number().gte(0).optional()});

export const publicTrainingColumnMappingDto = z.object({prompt: z.string().optional(), completion: z.string().optional(), reasoning_trace: z.string().optional(), chosen: z.string().optional(), rejected: z.string().optional()});

export const publicAutoScientistRunDto = z.object({id: z.string(), dataset_id: z.string().nullable(), model: z.string().nullable(), status: z.enum(["pending", "running", "succeeded", "failed", "cancelled"]), created_at: z.string(), completed_at: z.string().nullable(), iterations_completed: z.number(), max_iterations: z.number(), target_win_rate: z.number(), best_win_rate: z.number().nullable().optional(), training_method: z.enum(["instruction", "alignment"]), best_hyperparams: publicAutoScientistHyperparamsDto.nullable(), column_mapping: publicTrainingColumnMappingDto.nullable(), download_available: z.boolean(), error: z.string().nullable().optional()});

export const publicAutoScientistRunListDto = z.object({runs: z.array(publicAutoScientistRunDto), next_cursor: z.string().nullable().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 AutoScientist runs
 * 
 * GET /api/v1/autoscientist
 */
export const getApiApiV1Autoscientist = async (args: GetApiApiV1AutoscientistArgs, options: GetApiApiV1AutoscientistOptions) => {
const {baseUrl, fetch: fetchFn = fetch, bearer} = options ?? {}

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

if (args.limit != null) query.append("limit", String(args.limit))
if (args.cursor != null) query.append("cursor", String(args.cursor))
if (args.dataset_id != null) query.append("dataset_id", String(args.dataset_id))
if (bearer !== undefined) headers.set('authorization', `Bearer ${bearer}`)

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