/**
 * SQL query builders for process mining tools
 * All queries use safe parameter substitution to prevent SQL injection
 */
/**
 * Build SQL query for process.describe tool
 * Returns top-N processes ordered by confidence
 */
export declare function buildProcessDescribeQuery(parquetUrl: string, topN: number): string;
/**
 * Build SQL query for process.similar tool
 * Finds similar processes using vector distance
 *
 * Note: DuckDB's list_distance function computes L2 (Euclidean) distance
 * Other options: array_cosine_similarity, array_inner_product
 */
export declare function buildProcessSimilarQuery(parquetUrl: string, embeddingVector: number[], k: number): string;
/**
 * Build SQL query to load process steps for specific documents
 */
export declare function buildProcessStepsQuery(parquetUrl: string, docIds: string[]): string;
/**
 * Build SQL query to load process edges for specific documents
 */
export declare function buildProcessEdgesQuery(parquetUrl: string, docIds: string[]): string;
/**
 * Build SQL query for timeline events (optional temporal view)
 */
export declare function buildTimelineEventsQuery(parquetUrl: string, docIds?: string[]): string;
/**
 * Build SQL query for temporal intervals (optional temporal view)
 */
export declare function buildTimelineIntervalsQuery(parquetUrl: string, docIds?: string[]): string;
/**
 * Build SQL query for metric time series (optional temporal view)
 */
export declare function buildMetricTimeQuery(parquetUrl: string, metric?: string, docIds?: string[]): string;
/**
 * Resolve parquet URL templates with doc_uuid placeholders
 * Example: s3://bucket/{doc_uuid}/file.parquet -> s3://bucket/abc123/file.parquet
 */
export declare function resolveParquetUrl(urlTemplate: string, docId: string): string;
/**
 * Build glob pattern for multi-document parquet files
 * Example: s3://bucket/parquet/star/process_summary.parquet (star = wildcard)
 */
export declare function buildParquetGlobPattern(urlTemplate: string): string;
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