import { type WorkspaceFiles } from './file-references';
import type { CsvAggregateInput, CsvFilter } from './schemas';
export declare const CSV_SAMPLE_VALUE_LIMIT = 5;
export declare const CSV_PROFILE_DISTINCT_LIMIT = 100;
export declare const CSV_DISTINCT_TRACK_LIMIT = 10000;
export declare const CSV_MAX_AGGREGATE_GROUPS = 50000;
export declare function resolveCsvFile(files: WorkspaceFiles, reference: string): import("../../agent-knowledge.service").KnowledgeWorkspaceFile;
export declare function streamCsvRecords(workspaceRoot: string, file: WorkspaceFiles[number], handlers: {
    onHeaders?: (headers: string[]) => void;
    onRecord: (record: {
        record: Record<string, unknown>;
        fileLineNumber: number;
    }) => void;
}): Promise<void>;
export declare function validateCsvColumns(headers: string[], fileName: string, columns: string[]): void;
export declare function matchesFilters(record: Record<string, unknown>, filters: CsvFilter[]): boolean;
export declare function normaliseCsvValue(value: unknown): string;
export declare function toCsvRecordValues(record: Record<string, unknown>, columns: string[]): {
    [k: string]: string;
};
export type CsvDistinctTracker = ReturnType<typeof createCsvDistinctTracker>;
export declare function createCsvDistinctTracker(columns: string[], limit: number): {
    add(record: Record<string, unknown>): void;
    toOutput(): {
        [k: string]: string[];
    };
    columns: string[];
};
export declare function buildCsvAmbiguity(matchedRows: number, limit: number, tracker: CsvDistinctTracker | undefined): {
    matchedRows: number;
    message: string;
    suggestedColumns: string[];
    sampleDistinctValues: {
        [k: string]: string[];
    } | undefined;
};
export declare function getSuggestedDisambiguatingColumns(headers: string[], filters: CsvFilter[], selectedColumns: string[]): string[];
type CsvColumnType = 'empty' | 'integer' | 'number' | 'boolean' | 'date' | 'string';
export declare function createCsvColumnProfileState(distinctLimit: number): {
    add(value: string): void;
    toOutput(name: string): {
        name: string;
        inferredType: CsvColumnType;
        emptyCount: number;
        distinctCount: number;
        distinctCountTruncated: boolean;
        sampleValues: string[];
    };
};
export type CsvColumnProfileState = ReturnType<typeof createCsvColumnProfileState>;
export declare function getLikelyDisambiguatingColumns(columnProfiles: Array<{
    name: string;
    distinctCount?: number;
    distinctCountTruncated?: boolean;
}>, rowCount: number): string[];
export declare function createCsvAggregateGroup(groupValues: Record<string, string>, metrics: string[]): {
    groupValues: Record<string, string>;
    count: number;
    metrics: {
        [k: string]: {
            count: number;
            sum: number;
            min: number | undefined;
            max: number | undefined;
            skipped: number;
            add(value: string): void;
        };
    };
};
export type CsvAggregateGroup = ReturnType<typeof createCsvAggregateGroup>;
export declare function formatCsvAggregateGroup(group: CsvAggregateGroup, functions: Array<'count' | 'min' | 'max' | 'sum' | 'avg'>, metrics: string[]): Record<string, string | number | null>;
export declare function sortCsvAggregateResults(results: Array<Record<string, string | number | null>>, orderBy: CsvAggregateInput['orderBy']): void;
export {};