/**
 * @module memory/brain-noise-detector
 *
 * T1147 Wave 7: BRAIN noise detector for the 2440-entry sweep.
 *
 * Scans all four brain content tables (`brain_observations`, `brain_learnings`,
 * `brain_decisions`, `brain_patterns`) for entries that match noise criteria:
 * - `quality_score < 0.3` (below QUALITY_SCORE_THRESHOLD)
 * - `verified = 0` (not owner-verified)
 * - `invalid_at IS NULL` (not already superseded)
 *
 * Produces `brain_observations_staging` rows anchored to a `brain_backfill_runs`
 * row of kind `noise-sweep-2440`. The 100-entry stratified sample is written to
 * `.cleo/agent-outputs/T1147-sweep-validation-<runId>.json` for autonomous validation.
 *
 * @task T1147
 * @epic T1075
 */
/** Per-table count of detected noise candidates. */
export interface NoiseCandidateCounts {
    observations: number;
    learnings: number;
    decisions: number;
    patterns: number;
    total: number;
}
/** Result of the full `detectNoiseCandidates` pass. */
export interface DetectNoiseCandidatesResult {
    /** Run ID created in `brain_backfill_runs`. */
    runId: string;
    /** Per-table candidate counts. */
    counts: NoiseCandidateCounts;
    /** Absolute path to the 100-entry stratified sample JSON file. */
    sampleFilePath: string;
    /** Whether this was a dry-run (no rows inserted into brain_observations_staging). */
    dryRun: boolean;
}
/** Shape of one entry in the stratified sample JSON. */
export interface SampleEntry {
    sourceTable: string;
    sourceId: string;
    qualityScore: number | null;
    sourceConfidence: string | null;
    content: string | null;
}
/**
 * Detects noise candidates across all four brain content tables and writes
 * staging rows to `brain_observations_staging`.
 *
 * The function:
 * 1. Opens `brain.db` for the given `projectRoot`.
 * 2. Queries each brain table for rows matching noise criteria.
 * 3. Inserts one `brain_backfill_runs` row (`kind='noise-sweep-2440'`, `status='staged'`).
 * 4. Inserts `brain_observations_staging` rows for each noise candidate.
 * 5. Extracts a 100-entry proportional stratified sample and writes it to
 *    `.cleo/agent-outputs/T1147-sweep-validation-<runId>.json`.
 *
 * In `dryRun` mode, steps 3–4 are skipped (no DB writes). The sample file
 * is still written for preview.
 *
 * @param projectRoot - Absolute path to the project root.
 * @param options     - Optional configuration.
 * @returns Result containing the run ID, candidate counts, and sample file path.
 *
 * @example
 * ```typescript
 * const result = await detectNoiseCandidates('/mnt/projects/cleocode', { dryRun: true });
 * console.log(`Found ${result.counts.total} noise candidates`);
 * ```
 */
export declare function detectNoiseCandidates(projectRoot: string, options?: {
    dryRun?: boolean;
}): Promise<DetectNoiseCandidatesResult>;
/**
 * Returns a 100-entry stratified sample from `brain_observations_staging` for a given
 * sweep run. Useful for re-sampling without re-running the full detector.
 *
 * @param projectRoot - Absolute path to the project root.
 * @param runId       - The sweep run ID to sample from.
 */
export declare function sampleNoiseCandidates(projectRoot: string, runId: string): Promise<SampleEntry[]>;
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