import {z} from 'zod'

export type GMMOptions = {name?: string | undefined, scoring_method?: ('BIC' | 'silhouette') | undefined};

export type DBSCANOptions = {name?: string | undefined};

export type KMeansOptions = {name?: string | undefined, n_clusters?: number | undefined};

export type DimensionClusterOptions = {name?: string | undefined, dimension_name: string, n_clusters?: number | undefined, kind?: ('EqualWidth' | 'EqualFrequency') | undefined};

export type CustomClusterOptions = {name?: string | undefined, clusters: Array<number>};

export type DistanceFormula = 1 | 2;

export type SCOREBandsConfig = {dimensions?: (Array<string> | null) | undefined, axis_positions?: ({[key: string]: number} | null) | undefined, clustering_algorithm?: (GMMOptions | DBSCANOptions | KMeansOptions | DimensionClusterOptions | CustomClusterOptions) | undefined, distance_formula?: DistanceFormula | undefined, distance_parameter?: number | undefined, use_absolute_correlations?: boolean | undefined, include_solutions?: boolean | undefined, include_medians?: boolean | undefined, interval_size?: number | undefined, scales?: ({[key: string]: Array<unknown>} | null) | undefined};

export type EMOScoreRequest = {problem_id: number, session_id?: (number | null) | undefined, parent_state_id?: (number | null) | undefined, config?: (SCOREBandsConfig | null) | undefined, solution_ids: Array<number>};

export type CreateApiMethodEmoFetchScoreArgs = {body: EMOScoreRequest};

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

export const gMMOptions = z.object({name: z.string().optional(), scoring_method: z.enum(["BIC", "silhouette"]).optional()});

export const dBSCANOptions = z.object({name: z.string().optional()});

export const kMeansOptions = z.object({name: z.string().optional(), n_clusters: z.number().int().optional()});

export const dimensionClusterOptions = z.object({name: z.string().optional(), dimension_name: z.string(), n_clusters: z.number().int().optional(), kind: z.enum(["EqualWidth", "EqualFrequency"]).optional()});

export const customClusterOptions = z.object({name: z.string().optional(), clusters: z.array(z.number().int())});

export const distanceFormula = z.union([z.literal(1), z.literal(2)]);

export const sCOREBandsConfig = z.object({dimensions: z.array(z.string()).nullable().optional(), axis_positions: z.record(z.string(), z.number()).nullable().optional(), clustering_algorithm: z.union([gMMOptions, dBSCANOptions, kMeansOptions, dimensionClusterOptions, customClusterOptions]).optional(), distance_formula: distanceFormula.optional(), distance_parameter: z.number().optional(), use_absolute_correlations: z.boolean().optional(), include_solutions: z.boolean().optional(), include_medians: z.boolean().optional(), interval_size: z.number().optional(), scales: z.record(z.string(), z.array(z.unknown())).nullable().optional()});

export const sCOREBandsResult = z.object({options: sCOREBandsConfig, ordered_dimensions: z.array(z.string()), clusters: z.array(z.number().int()), axis_positions: z.record(z.string(), z.number()), bands: z.record(z.string(), z.record(z.string(), z.array(z.unknown()))), medians: z.record(z.string(), z.record(z.string(), z.number())), cardinalities: z.record(z.string(), z.number().int())});

export const eMOScoreResponse = z.object({state_id: z.number().int().nullable().optional(), result: sCOREBandsResult});

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
};

/**
 * Fetch Score Bands
 * 
 * POST /method/emo/fetch_score
 * 
 * Also accepts auth: APIKeyCookie
 */
export const createApiMethodEmoFetchScore = async (args: CreateApiMethodEmoFetchScoreArgs, options: CreateApiMethodEmoFetchScoreOptions) => {
const {baseUrl, fetch: fetchFn = fetch, OAuth2PasswordBearer} = options ?? {}

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

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

const url = `${baseUrl.replace(/\/+$/, '')}/method/emo/fetch_score${query.size > 0 ? `?${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(eMOScoreResponse, await res.json())
};