import type { GridApi } from '../../core/grid-api';
import type { PhotonCommand } from '../photon-ai.types';
import type { PhotonAIAction } from './ai-provider.types';
/**
 * Bridges a model-generated {@link PhotonAIAction} to a fully-formed
 * {@link PhotonCommand} the existing `CommandExecutor` can run unchanged.
 *
 * A language model reliably produces the *shape* of a command (an intent key
 * plus the target column and value) but not the incidental details the
 * deterministic builders add for free — the display `header`, `Date` objects
 * for date filters, a default operator, numeric coercion. Rather than force
 * the model to reproduce all of that (fragile, token-heavy), this normalizer
 * backfills it deterministically from the live grid:
 *
 * - resolves `colId`/`colIds` against real columns (tolerating a header used
 *   in place of an id, since models occasionally do that),
 * - backfills the `header` param used by every intent's result message,
 * - coerces `applyFilter` values to the column's type (ISO string → `Date`,
 *   numeric string → `number`) and defaults a sensible operator.
 *
 * It is intentionally the *only* place provider output is reshaped, mirroring
 * the role `CommandBuilder` plays for the deterministic pipeline.
 */
export declare class CommandNormalizer {
    private readonly api;
    constructor(api: GridApi);
    /** Reshapes one action into an executable command. Never throws — worst case, the executor reports an unknown/invalid command. */
    normalize(action: PhotonAIAction): PhotonCommand;
    /** Resolves and canonicalizes `colId`/`colIds`, then backfills the human `header` label. */
    private normalizeColumnTargets;
    /** Coerces `applyFilter`'s value(s) to the target column's data type and supplies a default operator. */
    private normalizeFilterParams;
    /** Matches by exact colId first, then case-insensitively by header — models sometimes echo the visible header. */
    private resolveColumn;
}
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