import {z} from 'zod'

export type PipelineCloudSchemasRunsRunIOType = 'integer' | 'string' | 'fp' | 'dictionary' | 'boolean' | 'none' | 'array' | 'pkl' | 'file' | 'stream';

export type PipelineCloudSchemasRunsRunInput = {type: PipelineCloudSchemasRunsRunIOType, value: unknown, file_name?: string | undefined, file_path?: string | undefined, file_url?: string | undefined};

export type PipelineCloudSchemasRunsRunCreate = {run_id?: string | undefined, inputs: Array<PipelineCloudSchemasRunsRunInput>, pipeline: string, async_run?: boolean | undefined, wait_for_resources?: boolean | undefined};

export type CreateApiV4RunsArgs = {body: PipelineCloudSchemasRunsRunCreate};

export type CreateApiV4RunsOptions = {baseUrl?: string | undefined, HTTPBearer?: string | undefined, fetch?: typeof fetch | undefined};

export const pipelineCloudSchemasRunsRunIOType = z.enum(["integer", "string", "fp", "dictionary", "boolean", "none", "array", "pkl", "file", "stream"]);

export const pipelineCloudSchemasRunsRunInput = z.object({type: pipelineCloudSchemasRunsRunIOType, value: z.unknown(), file_name: z.string().optional(), file_path: z.string().optional(), file_url: z.string().optional()});

export const pipelineCloudSchemasRunsRunOutputFile = z.object({name: z.string(), path: z.string(), url: z.string().optional(), size: z.number().int()});

export const pipelineCloudSchemasRunsRunOutput = z.object({type: pipelineCloudSchemasRunsRunIOType, value: z.unknown(), file: pipelineCloudSchemasRunsRunOutputFile.optional()});

export const containerRunErrorType = z.enum(["input_error", "cuda_oom", "cuda_error", "oom", "pipeline_error", "startup_error", "pipeline_loading", "timeout", "unknown"]);

export const containerRunError = z.object({type: containerRunErrorType, message: z.string(), traceback: z.string().optional()});

export const pipelineCloudSchemasRunsRunState = z.enum(["created", "routing", "queued", "running", "completed", "failed", "no_resources_available", "node_preempted", "unknown"]);

export const clusterRunResult = z.object({inputs: z.array(pipelineCloudSchemasRunsRunInput).optional(), outputs: z.array(pipelineCloudSchemasRunsRunOutput).optional(), error: containerRunError.optional(), id: z.string(), created_at: z.string(), updated_at: z.string(), pipeline_id: z.string(), state: pipelineCloudSchemasRunsRunState, queue_position: z.number().int().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
};

/**
 * Submit Run
 * 
 * POST /v4/runs
 * 
 * Also accepts auth: APIKeyCookie
 */
export const createApiV4Runs = async (args: CreateApiV4RunsArgs, options?: CreateApiV4RunsOptions) => {
const {baseUrl = "https://www.mystic.ai", 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 (HTTPBearer !== undefined) headers.set('authorization', `Bearer ${HTTPBearer}`)

const url = `${baseUrl.replace(/\/+$/, '')}/v4/runs${query.size > 0 ? `?${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(clusterRunResult, await res.json())
};