import * as arrow from 'apache-arrow';
import { ArrowTable } from '@loaders.gl/schema';
import { ProcessorResult, Field } from '@kepler.gl/types';
import { isPlainObject } from '@kepler.gl/utils';
import { analyzerTypeToFieldType, getFieldsFromData } from '@kepler.gl/common-utils';
import { ParsedDataset, SavedMap, LoadedMap } from '@kepler.gl/schemas';
export declare const CSV_NULLS: RegExp;
declare function tryParseJsonString(str: any): any;
export declare const PARSE_FIELD_VALUE_FROM_STRING: {
    boolean: {
        valid: (d: unknown) => boolean;
        parse: (d: unknown) => boolean;
    };
    integer: {
        valid: (d: unknown) => boolean;
        parse: (d: unknown) => number;
    };
    timestamp: {
        valid: (d: unknown, field: Field) => boolean;
        parse: (d: any, field: Field) => any;
    };
    real: {
        valid: (d: unknown) => boolean;
        parse: typeof parseFloat;
    };
    object: {
        valid: typeof isPlainObject;
        parse: typeof tryParseJsonString;
    };
    array: {
        valid: (arg: any) => arg is any[];
        parse: typeof tryParseJsonString;
    };
    h3: {
        valid: (d: any) => boolean;
        parse: (d: any) => any;
    };
};
/**
 * Process csv data, output a data object with `{fields: [], rows: []}`.
 * The data object can be wrapped in a `dataset` and pass to [`addDataToMap`](../actions/actions.md#adddatatomap)
 * @param rawData raw csv string
 * @returns data object `{fields: [], rows: []}` can be passed to addDataToMaps
 * @public
 * @example
 * import {processCsvData} from '@kepler.gl/processors';
 *
 * const testData = `gps_data.utc_timestamp,gps_data.lat,gps_data.lng,gps_data.types,epoch,has_result,id,time,begintrip_ts_utc,begintrip_ts_local,date
 * 2016-09-17 00:09:55,29.9900937,31.2590542,driver_analytics,1472688000000,False,1,2016-09-23T00:00:00.000Z,2016-10-01 09:41:39+00:00,2016-10-01 09:41:39+00:00,2016-09-23
 * 2016-09-17 00:10:56,29.9927699,31.2461142,driver_analytics,1472688000000,False,2,2016-09-23T00:00:00.000Z,2016-10-01 09:46:37+00:00,2016-10-01 16:46:37+00:00,2016-09-23
 * 2016-09-17 00:11:56,29.9907261,31.2312742,driver_analytics,1472688000000,False,3,2016-09-23T00:00:00.000Z,,,2016-09-23
 * 2016-09-17 00:12:58,29.9870074,31.2175827,driver_analytics,1472688000000,False,4,2016-09-23T00:00:00.000Z,,,2016-09-23`
 *
 * const dataset = {
 *  info: {id: 'test_data', label: 'My Csv'},
 *  data: processCsvData(testData)
 * };
 *
 * dispatch(addDataToMap({
 *  datasets: [dataset],
 *  options: {centerMap: true, readOnly: true}
 * }));
 */
export declare function processCsvData(rawData: unknown[][] | string, header?: string[]): ProcessorResult;
/**
 * Parse rows of csv by analyzed field types. So that `'1'` -> `1`, `'True'` -> `true`
 * @param rows
 * @param fields
 */
export declare function parseRowsByFields(rows: any[][], fields: Field[]): any[][];
/**
 * Process uploaded csv file to parse value by field type
 *
 * @param rows
 * @param geoFieldIdx field index
 * @param field
 * @param i
 */
export declare function parseCsvRowsByFieldType(rows: unknown[][], geoFieldIdx: number, field: Field, i: number): void;
/**
 * Process data where each row is an object, output can be passed to [`addDataToMap`](../actions/actions.md#adddatatomap)
 * NOTE: This function may mutate input.
 * @param rawData an array of row object, each object should have the same number of keys
 * @returns dataset containing `fields` and `rows`
 * @public
 * @example
 * import {addDataToMap} from '@kepler.gl/actions';
 * import {processRowObject} from '@kepler.gl/processors';
 *
 * const data = [
 *  {lat: 31.27, lng: 127.56, value: 3},
 *  {lat: 31.22, lng: 126.26, value: 1}
 * ];
 *
 * dispatch(addDataToMap({
 *  datasets: {
 *    info: {label: 'My Data', id: 'my_data'},
 *    data: processRowObject(data)
 *  }
 * }));
 */
export declare function processRowObject(rawData: unknown[]): ProcessorResult;
/**
 * Process GeoJSON [`FeatureCollection`](http://wiki.geojson.org/GeoJSON_draft_version_6#FeatureCollection),
 * output a data object with `{fields: [], rows: []}`.
 * The data object can be wrapped in a `dataset` and passed to [`addDataToMap`](../actions/actions.md#adddatatomap)
 * NOTE: This function may mutate input.
 *
 * @param rawData raw geojson feature collection
 * @returns dataset containing `fields` and `rows`
 * @public
 * @example
 * import {addDataToMap} from '@kepler.gl/actions';
 * import {processGeojson} from '@kepler.gl/processors';
 *
 * const geojson = {
 * 	"type" : "FeatureCollection",
 * 	"features" : [{
 * 		"type" : "Feature",
 * 		"properties" : {
 * 			"capacity" : "10",
 * 			"type" : "U-Rack"
 * 		},
 * 		"geometry" : {
 * 			"type" : "Point",
 * 			"coordinates" : [ -71.073283, 42.417500 ]
 * 		}
 * 	}]
 * };
 *
 * dispatch(addDataToMap({
 *  datasets: {
 *    info: {
 *      label: 'Sample Taxi Trips in New York City',
 *      id: 'test_trip_data'
 *    },
 *    data: processGeojson(geojson)
 *  }
 * }));
 */
export declare function processGeojson(rawData: unknown): ProcessorResult;
/**
 * Process saved kepler.gl json to be pass to [`addDataToMap`](../actions/actions.md#adddatatomap).
 * The json object should contain `datasets` and `config`.
 * @param rawData
 * @param schema
 * @returns datasets and config `{datasets: {}, config: {}}`
 * @public
 * @example
 * import {addDataToMap} from '@kepler.gl/actions';
 * import {processKeplerglJSON} from '@kepler.gl/processors';
 *
 * dispatch(addDataToMap(processKeplerglJSON(keplerGlJson)));
 */
export declare function processKeplerglJSON(rawData: SavedMap, schema?: import("@kepler.gl/schemas").KeplerGLSchemaClass): LoadedMap | null;
/**
 * Parse a single or an array of datasets saved using kepler.gl schema
 * @param rawData
 * @param schema
 */
export declare function processKeplerglDataset(rawData: object | object[], schema?: import("@kepler.gl/schemas").KeplerGLSchemaClass): ParsedDataset | ParsedDataset[] | null;
/**
 * Parse arrow table and return a dataset
 *
 * @param arrowTable ArrowTable to parse, see loaders.gl/schema
 * @returns dataset containing `fields` and `rows` or null
 */
export declare function processArrowTable(arrowTable: ArrowTable): ProcessorResult | null;
/**
 * Extracts GeoArrow metadata from an Apache Arrow table schema.
 * For geoparquet files geoarrow metadata isn't present in fields, so extract extra info from schema.
 * @param table The Apache Arrow table to extract metadata from.
 * @returns An object mapping column names to their GeoArrow encoding type.
 * @throws Logs an error message if parsing of metadata fails.
 */
export declare function getGeoArrowMetadataFromSchema(table: arrow.Table): Record<string, string>;
/**
 * Converts an Apache Arrow table schema into an array of Kepler.gl field objects.
 * @param table The Apache Arrow table whose schema needs to be converted.
 * @param fieldTypeSuggestions Optional mapping of field names to suggested field types.
 * @returns An array of field objects suitable for Kepler.gl.
 */
export declare function arrowSchemaToFields(table: arrow.Table, fieldTypeSuggestions?: Record<string, string>): Field[];
/**
 * Parse arrow batches returned from parseInBatches()
 *
 * @param arrowTable the arrow table to parse
 * @returns dataset containing `fields` and `rows` or null
 */
export declare function processArrowBatches(arrowBatches: arrow.RecordBatch[]): ProcessorResult | null;
export declare const DATASET_HANDLERS: {
    row: typeof processRowObject;
    geojson: typeof processGeojson;
    csv: typeof processCsvData;
    arrow: typeof processArrowTable;
    keplergl: typeof processKeplerglDataset;
};
export declare const Processors: {
    processGeojson: typeof processGeojson;
    processCsvData: typeof processCsvData;
    processArrowTable: typeof processArrowTable;
    processArrowBatches: typeof processArrowBatches;
    processRowObject: typeof processRowObject;
    processKeplerglJSON: typeof processKeplerglJSON;
    processKeplerglDataset: typeof processKeplerglDataset;
    analyzerTypeToFieldType: typeof analyzerTypeToFieldType;
    getFieldsFromData: typeof getFieldsFromData;
    parseCsvRowsByFieldType: typeof parseCsvRowsByFieldType;
};
export {};