import {z} from 'zod'

export type GetApiApiPromptsPromptIdVersionsVersionIdInferenceRunsArgs = {ordering?: string | undefined, parent_model?: number | undefined, project?: number | undefined, project_subset?: ('All' | 'HasGT' | 'Sample') | undefined, prompt_id: number, version_id: number};

export type GetApiApiPromptsPromptIdVersionsVersionIdInferenceRunsOptions = {baseUrl?: string | undefined, Token?: string | undefined, fetch?: typeof fetch | undefined};

export const userSimple = z.object({avatar: z.string().nullable(), email: z.string().max(254).optional(), first_name: z.string().max(256).optional(), id: z.number().int(), last_name: z.string().max(256).optional(), username: z.string().max(256)});

export const projectSubsetEnum = z.enum(["All", "HasGT", "Sample", "Custom"]);

export const modelRunStatusEnum = z.enum(["Pending", "InProgress", "Completed", "Failed", "Canceled"]);

export const modelRun = z.object({completed_at: z.string().nullable(), created_at: z.string(), created_by: userSimple, filters_json: z.unknown(), id: z.number().int(), job_id: z.string().max(255).nullable().optional(), model_version: z.number().int(), organization: z.number().int().nullable().optional(), parent_model: z.number().int(), predictions_updated_at: z.string().nullable().optional(), project: z.number().int(), project_subset: projectSubsetEnum.optional(), sample_subset_size: z.number().int().gte(0).lte(2147483647).nullable().optional(), source_model_run: z.number().int().nullable(), status: modelRunStatusEnum, task_ids: z.unknown(), total_correct_predictions: z.number().int().gte(-2147483648).lte(2147483647).nullable().optional(), total_predictions: z.number().int().gte(-2147483648).lte(2147483647).nullable().optional(), total_tasks: z.number().int().gte(-2147483648).lte(2147483647).nullable().optional(), triggered_at: z.string().nullable()});

export const getApiApiPromptsPromptIdVersionsVersionIdInferenceRunsResponse = z.array(modelRun);

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
};

/**
 * ✨ Get inference run info
 * 
 * GET /api/prompts/{prompt_id}/versions/{version_id}/inference-runs
 */
export const getApiApiPromptsPromptIdVersionsVersionIdInferenceRuns = async (args: GetApiApiPromptsPromptIdVersionsVersionIdInferenceRunsArgs, options?: GetApiApiPromptsPromptIdVersionsVersionIdInferenceRunsOptions) => {
const {baseUrl = "http://localhost:8000", fetch: fetchFn = fetch, Token} = options ?? {}

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

if (args.ordering != null) query.append("ordering", String(args.ordering))
if (args.parent_model != null) query.append("parent_model", String(args.parent_model))
if (args.project != null) query.append("project", String(args.project))
if (args.project_subset != null) query.append("project_subset", String(args.project_subset))
if (Token !== undefined) headers.set("Authorization", Token)

const url = `${baseUrl.replace(/\/+$/, '')}/api/prompts/${encodeURIComponent(String(args.prompt_id))}/versions/${encodeURIComponent(String(args.version_id))}/inference-runs${query.size > 0 ? `?${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(getApiApiPromptsPromptIdVersionsVersionIdInferenceRunsResponse, await res.json())
};