import {z} from 'zod'

export type LunaMappingConfig = {columns: Array<string>, flatten?: boolean | undefined};

export type LunaDatasetMappings = {input?: (LunaMappingConfig | null) | undefined, output?: (LunaMappingConfig | null) | undefined, label?: (LunaMappingConfig | null) | undefined, evaluator_ground_truth?: (LunaMappingConfig | null) | undefined, metadata?: (LunaMappingConfig | null) | undefined, tools?: (LunaMappingConfig | null) | undefined, documents?: (LunaMappingConfig | null) | undefined, mgt?: {[key: string]: LunaMappingConfig} | undefined};

export type LunaSemanticMapping = {source_column: string, target_field: 'input' | 'output' | 'label' | 'evaluator_ground_truth' | 'metadata' | 'tools' | 'documents' | 'generated_output' | 'ground_truth'};

export type LunaDatasetPreviewRequest = {mappings: LunaDatasetMappings | Array<LunaSemanticMapping>};

export type CreateApiPublicV2DatasetsDatasetIdVersionsVersionIndexPreviewArgs = {dataset_id: unknown, version_index: number, limit?: number | undefined, cursor?: (string | null) | undefined, body: LunaDatasetPreviewRequest};

export type CreateApiPublicV2DatasetsDatasetIdVersionsVersionIndexPreviewOptions = {baseUrl?: string | undefined, APIKeyHeader?: string | undefined, fetch?: typeof fetch | undefined};

export const lunaPreviewDraftRef = z.object({kind: z.literal("draft").optional(), dataset_id: z.string(), draft_revision: z.string()});

export const lunaPreviewVersionRef = z.object({kind: z.literal("version").optional(), dataset_id: z.string(), version_index: z.number().int().gte(1)});

export const pydanticTypesJsonValue = z.unknown();

export const lunaDatasetPreviewColumn = z.object({key: z.string(), label: z.string(), source_columns: z.array(z.string()), source_column: z.string().nullable().optional(), samples: z.array(pydanticTypesJsonValue).optional(), group: z.string().nullable().optional(), scorer_id: z.string().nullable().optional()});

export const lunaDatasetPreviewRow = z.object({row_ref: z.string(), values: z.record(z.string(), pydanticTypesJsonValue), truncated_columns: z.array(z.string()).optional()});

export const lunaDatasetPreview = z.object({dataset: z.discriminatedUnion("kind", [lunaPreviewDraftRef, lunaPreviewVersionRef]), columns: z.array(lunaDatasetPreviewColumn), rows: z.array(lunaDatasetPreviewRow), total_row_count: z.number().int(), column_count: z.number().int(), next_cursor: 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
};

/**
 * Preview Dataset Version
 * 
 * POST /public/v2/datasets/{dataset_id}/versions/{version_index}/preview
 * 
 * Also accepts auth: ClassicAPIKeyHeader, OAuth2PasswordBearer, HTTPBasic
 */
export const createApiPublicV2DatasetsDatasetIdVersionsVersionIndexPreview = async (args: CreateApiPublicV2DatasetsDatasetIdVersionsVersionIndexPreviewArgs, options?: CreateApiPublicV2DatasetsDatasetIdVersionsVersionIndexPreviewOptions) => {
const {baseUrl = "https://api.galileo.ai", fetch: fetchFn = fetch, APIKeyHeader} = options ?? {}

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

if (args.limit != null) query.append("limit", String(args.limit))
if (args.cursor != null) query.append("cursor", String(args.cursor))
if (APIKeyHeader !== undefined) headers.set("Splunk-AO-API-Key", APIKeyHeader)

const url = `${baseUrl.replace(/\/+$/, '')}/public/v2/datasets/${encodeURIComponent(String(args.dataset_id))}/versions/${encodeURIComponent(String(args.version_index))}/preview${query.size > 0 ? `?${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(lunaDatasetPreview, await res.json())
};