import {z} from 'zod'

export type GetApiJobMlJobIdArgs = {job_id: string};

export type GetApiJobMlJobIdOptions = {baseUrl: string, OAuth2PasswordBearer?: string | undefined, fetch?: typeof fetch | undefined};

export const jobStatus = z.enum(["queued", "finished", "failed", "started", "deferred", "scheduled", "stopped", "canceled"]);

export const mLJobType = z.enum(["QUOTATION_ATTRIBUTION", "TAG_RECOMMENDATION", "COREFERENCE_RESOLUTION", "DOCUMENT_EMBEDDING", "SENTENCE_EMBEDDING"]);

export const quotationAttributionParams = z.object({ml_job_type: z.literal("QUOTATION_ATTRIBUTION"), recompute: z.boolean().optional()});

export const tagRecommendationMethod = z.enum(["SIMPLE", "KNN", "EXCLUSIVE"]);

export const docTagRecommendationParams = z.object({ml_job_type: z.literal("TAG_RECOMMENDATION"), multi_class: z.boolean().optional(), tag_ids: z.array(z.number().int()).optional(), method: tagRecommendationMethod.optional()});

export const coreferenceResolutionParams = z.object({ml_job_type: z.literal("COREFERENCE_RESOLUTION"), recompute: z.boolean().optional()});

export const documentEmbeddingParams = z.object({ml_job_type: z.literal("DOCUMENT_EMBEDDING"), recompute: z.boolean().optional()});

export const sentenceEmbeddingParams = z.object({ml_job_type: z.literal("SENTENCE_EMBEDDING"), recompute: z.boolean().optional()});

export const mLJobInput = z.object({project_id: z.number().int(), ml_job_type: mLJobType, specific_ml_job_parameters: z.union([quotationAttributionParams, docTagRecommendationParams, coreferenceResolutionParams, documentEmbeddingParams, sentenceEmbeddingParams]).nullable()});

export const mlJobRead = z.object({job_id: z.string(), job_type: z.literal("ml"), project_id: z.number().int(), status: jobStatus, status_message: z.string().nullable().optional(), current_step: z.number().int(), steps: z.array(z.string()), input: mLJobInput, output: z.unknown(), created: z.string(), finished: 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
};

/**
 * Get Ml job
 * 
 * GET /job/ml/{job_id}
 */
export const getApiJobMlJobId = async (args: GetApiJobMlJobIdArgs, options: GetApiJobMlJobIdOptions) => {
const {baseUrl, fetch: fetchFn = fetch, OAuth2PasswordBearer} = options ?? {}

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

if (OAuth2PasswordBearer !== undefined) headers.set('authorization', `Bearer ${OAuth2PasswordBearer}`)

const url = `${baseUrl.replace(/\/+$/, '')}/job/ml/${encodeURIComponent(String(args.job_id))}${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(mlJobRead, await res.json())
};