import type { ImportanceResult, JournalEntry } from '../../../types/index.js';
import { type EntriesSharedContext } from './shared.js';
export declare const IMPORTANCE_WEIGHTS: {
    readonly significance: 0.3;
    readonly relationships: 0.35;
    readonly causal: 0.2;
    readonly recency: 0.15;
};
/** Relationship count at which the relationships component reaches its maximum score (1.0) */
export declare const MAX_RELATIONSHIP_SCORE_AT = 5;
/** Causal relationship count at which the causal component reaches its maximum score (1.0) */
export declare const MAX_CAUSAL_SCORE_AT = 3;
/** Number of days after which the recency component decays to zero */
export declare const RECENCY_WINDOW_DAYS = 90;
/** Baseline significance value when significance_type is set without a higher impact_score */
export declare const SIGNIFICANCE_TYPE_BASELINE = 0.5;
/**
 * Build a Common Table Expression (CTE) which aggregates a relationship
 * count (rel_count) and a causal_count for every entry_id present in the relationships table.
 * Used with buildImportanceSqlExpression.
 */
export declare function buildImportanceCte(): string;
/**
 * Build an inline SQL expression that computes importance score per row.
 * Expects the entry table aliased as `e` and a LEFT JOIN on `rel_stats` aliased as `rs`.
 */
export declare function buildImportanceSqlExpression(): string;
export declare function calculateImportance(context: EntriesSharedContext, entryId: number): ImportanceResult;
/**
 * Batch-attaches rounded importanceScore values directly onto an array of hydrated JournalEntry objects.
 * Uses only 2 batched SQL queries (relationships + entry_anchors) for all entries.
 */
export declare function attachImportanceScoresToEntries(context: EntriesSharedContext, entries: JournalEntry[]): void;
export declare function getEntriesByIdsWithImportance(context: EntriesSharedContext, entryIds: number[]): Map<number, {
    entry: JournalEntry;
    importance: ImportanceResult;
}>;
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