import {z} from 'zod'

export type DimensionOptions = {primary_key_column: string, last_modified_column?: string | undefined, is_deleted_column?: string | undefined};

export type TableOptions = {source_table_namespace: string, source_table_name: string};

export type SQLOptions = {query: string};

export type GlobOptions = {pattern: string, format: 'csv' | 'parquet' | 'jsonl' | 'json'};

export type FactOptions = {primary_key_column: string, created_at_column: string};

export type DatasetOptions = {type: 'dimension', dimension: DimensionOptions, method: 'table', table: TableOptions, name?: string | undefined, source_id: string, is_enabled?: boolean | undefined, frequency_minutes: number} | {type: 'dimension', dimension: DimensionOptions, method: 'sql', sql: SQLOptions, name?: string | undefined, source_id: string, is_enabled?: boolean | undefined, frequency_minutes: number} | {type: 'dimension', dimension: DimensionOptions, method: 'glob', glob: GlobOptions, name?: string | undefined, source_id: string, is_enabled?: boolean | undefined, frequency_minutes: number} | {type: 'fact', fact: FactOptions, method: 'table', table: TableOptions, name?: string | undefined, source_id: string, is_enabled?: boolean | undefined, frequency_minutes: number} | {type: 'fact', fact: FactOptions, method: 'sql', sql: SQLOptions, name?: string | undefined, source_id: string, is_enabled?: boolean | undefined, frequency_minutes: number} | {type: 'fact', fact: FactOptions, method: 'glob', glob: GlobOptions, name?: string | undefined, source_id: string, is_enabled?: boolean | undefined, frequency_minutes: number};

export type CreateDatasetRequest = {dataset: DatasetOptions};

export type CreateApiImportDatasetsArgs = {skip_validation?: boolean | undefined, body: CreateDatasetRequest};

export type CreateApiImportDatasetsOptions = {baseUrl?: string | undefined, ApiKeyAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const dimensionResource = z.object({primary_key_column: z.string(), last_modified_column: z.string().optional(), is_deleted_column: z.string().optional()});

export const tableResource = z.object({source_table_namespace: z.string(), source_table_name: z.string()});

export const sQLResource = z.object({query: z.string()});

export const globResource = z.object({pattern: z.string(), format: z.string()});

export const factResource = z.object({primary_key_column: z.string(), created_at_column: z.string()});

export const datasetResource = z.union([z.object({type: z.literal("dimension"), dimension: dimensionResource, method: z.literal("table"), table: tableResource, id: z.string(), name: z.string(), source_id: z.string(), is_enabled: z.boolean(), frequency_minutes: z.number().int(), datalake_schema: z.string(), datalake_table_name: z.string(), created_at: z.string(), updated_at: z.string()}), z.object({type: z.literal("dimension"), dimension: dimensionResource, method: z.literal("sql"), sql: sQLResource, id: z.string(), name: z.string(), source_id: z.string(), is_enabled: z.boolean(), frequency_minutes: z.number().int(), datalake_schema: z.string(), datalake_table_name: z.string(), created_at: z.string(), updated_at: z.string()}), z.object({type: z.literal("dimension"), dimension: dimensionResource, method: z.literal("glob"), glob: globResource, id: z.string(), name: z.string(), source_id: z.string(), is_enabled: z.boolean(), frequency_minutes: z.number().int(), datalake_schema: z.string(), datalake_table_name: z.string(), created_at: z.string(), updated_at: z.string()}), z.object({type: z.literal("fact"), fact: factResource, method: z.literal("table"), table: tableResource, id: z.string(), name: z.string(), source_id: z.string(), is_enabled: z.boolean(), frequency_minutes: z.number().int(), datalake_schema: z.string(), datalake_table_name: z.string(), created_at: z.string(), updated_at: z.string()}), z.object({type: z.literal("fact"), fact: factResource, method: z.literal("sql"), sql: sQLResource, id: z.string(), name: z.string(), source_id: z.string(), is_enabled: z.boolean(), frequency_minutes: z.number().int(), datalake_schema: z.string(), datalake_table_name: z.string(), created_at: z.string(), updated_at: z.string()}), z.object({type: z.literal("fact"), fact: factResource, method: z.literal("glob"), glob: globResource, id: z.string(), name: z.string(), source_id: z.string(), is_enabled: z.boolean(), frequency_minutes: z.number().int(), datalake_schema: z.string(), datalake_table_name: z.string(), created_at: z.string(), updated_at: z.string()})]);

export const getDatasetResponse = z.object({dataset: datasetResource});

export const createApiImportDatasetsResponse = z.object({status: z.literal("success"), data: getDatasetResponse, message: z.string()});

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 import dataset
 * 
 * POST /import/datasets
 */
export const createApiImportDatasets = async (args: CreateApiImportDatasetsArgs, options?: CreateApiImportDatasetsOptions) => {
const {baseUrl = "https://api.prequel.co", fetch: fetchFn = fetch, ApiKeyAuth} = options ?? {}

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

if (args.skip_validation != null) query.append("skip_validation", String(args.skip_validation))
if (ApiKeyAuth !== undefined) headers.set("X-API-KEY", ApiKeyAuth)

const url = `${baseUrl.replace(/\/+$/, '')}/import/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(createApiImportDatasetsResponse, await res.json())
};