import {z} from 'zod'

export type AnswerUpdateRequest = {is_passed?: (boolean | null) | undefined, confidence?: (number | null) | undefined, explanation?: (string | null) | undefined};

export type PatchApiV2EvalRunsEvalRunUuidResponsesResponseUuidArgs = {eval_run_uuid: string, response_uuid: string, workspace_uuid?: string | undefined, body: AnswerUpdateRequest};

export type PatchApiV2EvalRunsEvalRunUuidResponsesResponseUuidOptions = {baseUrl?: string | undefined, ApiKey?: string | undefined, fetch?: typeof fetch | undefined};

export const fileReference = z.object({file_uuid: z.string().nullable().optional(), remote_file_path: z.string().nullable().optional()});

export const contentType = z.enum(["text", "image", "video"]);

export const evalPrompt = z.object({prompt_uuid: z.string(), thread_uuid: z.string().nullable().optional(), turn_number: z.number().int().optional(), content: z.string(), category: z.string().nullable().optional()});

export const organizationOutSchema = z.object({org_uuid: z.string(), name: z.string()});

export const workspaceOutSchema = z.object({workspace_uuid: z.string().nullable().optional(), name: z.string().nullable().optional(), organization_name: z.string().nullable().optional(), organization_uuid: z.string().nullable().optional()});

export const featureFlags = z.object({enable_dashboard: z.boolean()});

export const userOutSchema = z.object({email: z.string(), organization: organizationOutSchema.nullable().optional(), workspace: workspaceOutSchema.nullable().optional(), org_admin_emails: z.array(z.string()).nullable().optional(), is_admin: z.boolean(), is_impersonating: z.boolean(), feature_flags: featureFlags});

export const answerHistoryOut = z.object({answer_history_uuid: z.string(), updated_by: userOutSchema.nullable().optional(), previous_is_passed: z.boolean().nullable().optional(), previous_confidence: z.number().nullable().optional(), previous_explanation: z.string().nullable().optional(), new_is_passed: z.boolean().nullable().optional(), new_confidence: z.number().nullable().optional(), new_explanation: z.string().nullable().optional(), updated_at: z.string()});

export const evalScoredResponse = z.object({prompt_uuid: z.string(), thread_uuid: z.string().nullable().optional(), turn_number: z.number().int().optional(), continue_thread: z.boolean().optional(), content: z.union([z.string(), fileReference]).nullable().optional(), content_type: contentType.optional(), exclude_from_scoring: z.boolean().optional(), ai_refused: z.boolean().optional(), response_uuid: z.string().nullable().optional(), explanation: z.string().nullable().optional(), confidence: z.number().nullable().optional(), is_passed: z.boolean().nullable().optional(), next_prompt: evalPrompt.nullable().optional(), manually_updated: z.boolean().optional(), manually_updated_by: userOutSchema.nullable().optional(), manually_updated_at: z.string().nullable().optional(), update_history: z.array(answerHistoryOut).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
};

/**
 * Update Answer Score
 * 
 * PATCH /v2/eval-runs/{eval_run_uuid}/responses/{response_uuid}
 * 
 * Also accepts auth: AuthBearer
 */
export const patchApiV2EvalRunsEvalRunUuidResponsesResponseUuid = async (args: PatchApiV2EvalRunsEvalRunUuidResponsesResponseUuidArgs, options?: PatchApiV2EvalRunsEvalRunUuidResponsesResponseUuidOptions) => {
const {baseUrl = "https://api.aymara.ai", fetch: fetchFn = fetch, ApiKey} = options ?? {}

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

if (args.workspace_uuid != null) query.append("workspace_uuid", String(args.workspace_uuid))
if (ApiKey !== undefined) headers.set("x-api-key", ApiKey)

const url = `${baseUrl.replace(/\/+$/, '')}/v2/eval-runs/${encodeURIComponent(String(args.eval_run_uuid))}/responses/${encodeURIComponent(String(args.response_uuid))}${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "PATCH", 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(evalScoredResponse, await res.json())
};