import {z} from 'zod'

export type SchemaPrimitiveType = 'string' | 'integer' | 'boolean' | 'float' | 'double' | 'json' | 'null';

export type SchemaPrimitive = {name: SchemaPrimitiveType};

export type SchemaOptionType = 'option';

export type SchemaOptionInput = {name: SchemaOptionType, item: SchemaPrimitive | SchemaOptionInput};

export type ColumnSchemaInput = {name: string, type: SchemaPrimitive | SchemaOptionInput};

export type CreateDatasetRequestUpload = {name: string, schema: Array<ColumnSchemaInput>, folder: string, rows: Array<{[key: string]: unknown}>, ai_project_id?: (string | null) | undefined};

export type CreateDatasetRequestS3 = {name: string, folder: string, s3_service_url: string, s3_region: string, s3_uri: string, s3_key_id: string, s3_secret_key: string, ai_project_id?: (string | null) | undefined};

export type CreateApiV1DatasetsArgs = {body: CreateDatasetRequestUpload | CreateDatasetRequestS3};

export type CreateApiV1DatasetsOptions = {baseUrl?: string | undefined, HTTPBearer?: string | undefined, fetch?: typeof fetch | undefined};

export const datasetStatus = z.enum(["READY", "PENDING", "FAILED", "TEMPORARY", "DRAFT"]);

export const schemaPrimitiveType = z.enum(["string", "integer", "boolean", "float", "double", "json", "null"]);

export const schemaPrimitive = z.object({name: schemaPrimitiveType});

export const schemaOptionType = z.literal("option");

export const schemaOptionOutput: z.ZodType<SchemaOptionOutput> = z.object({name: schemaOptionType, item: z.union([schemaPrimitive, z.lazy(() => schemaOptionOutput)])});

export const columnSchemaOutput = z.object({name: z.string(), type: z.union([schemaPrimitive, schemaOptionOutput])});

export const datasetOriginType = z.enum(["upload", "s3", "demo"]);

export const datasetOriginResponse = z.object({type: datasetOriginType});

export const createDatasetResponse = z.object({id: z.string(), name: z.string(), status: datasetStatus, schema: z.array(columnSchemaOutput), metadata: z.record(z.string(), z.union([z.string(), z.array(z.string())])), current_version_origin: datasetOriginResponse.nullable().optional(), folder: z.string(), current_version: z.string(), created_at: z.number().int(), error: z.string().nullable(), ai_project_id: 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
};

/**
 * Create a dataset by uploading data
 * 
 * POST /v1/datasets
 */
export const createApiV1Datasets = async (args: CreateApiV1DatasetsArgs, options?: CreateApiV1DatasetsOptions) => {
const {baseUrl = "https://api.tokenfactory.nebius.com", 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 = `${baseUrl.replace(/\/+$/, '')}/v1/datasets${query.size > 0 ? `?${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(createDatasetResponse, await res.json())
};