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context-crystallizer

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AI Crystallization Engineering for Large Repositories - Transform massive repositories into crystallized, AI-consumable knowledge through systematic analysis and optimization. Crystallization extracts meaningful context from any readable files.

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import { FileScanner } from './file-scanner.js'; import { ContextStorage } from './context-storage.js'; import { ChangeDetector, FileChange } from './change-detector.js'; import { QueueManager } from './queue-manager.js'; export interface UpdateResult { summary: { filesScanned: number; changesDetected: number; contextsUpdated: number; contextsAdded: number; contextsRemoved: number; errors: number; }; changes: FileChange[]; updatedContexts: string[]; errors: Array<{ file: string; error: string; }>; } export interface UpdateOptions { forceUpdate?: boolean; includeUnchanged?: boolean; cleanupDeleted?: boolean; } export declare class ContextUpdater { private repoPath; private fileScanner; private contextStorage; private changeDetector; private queueManager; constructor(repoPath: string, fileScanner: FileScanner, contextStorage: ContextStorage, changeDetector: ChangeDetector, queueManager: QueueManager); updateContexts(options?: UpdateOptions): Promise<UpdateResult>; getUpdateStatus(): Promise<{ needsUpdate: boolean; summary: { lastScan: Date | null; totalFiles: number; filesWithContext: number; contextCoverage: number; estimatedOutdated: number; }; }>; validateContextFreshness(relativePath: string): Promise<{ isFresh: boolean; reason?: string; lastModified?: Date; contextAge?: number; }>; generateUpdateReport(): Promise<string>; } //# sourceMappingURL=context-updater.d.ts.map