koishi-plugin-emojiluna/lib/uploadManager.d.ts

Smart emoji management plugin with AI categorization

import { Context } from 'koishi';
import { Config } from './config';
import { AITaskDetail } from './types';
interface AIAnalysisResult {
    name: string;
    category: string;
    tags: string[];
    description?: string;
    newCategory?: string;
}
export interface AITask {
    id: string;
    emojiId: string;
    imagePath: string;
    imageHash: string;
    attempts: number;
    nextRetryAt?: number;
}
/**
 * Callback interface for AI task processing.
 * The service implements this to handle actual AI analysis and emoji updates.
 */
export interface AITaskProcessor {
    /** Run AI analysis on a base64-encoded image, returning the result. */
    analyzeEmoji(imageBase64: string): Promise<AIAnalysisResult | null>;
    /** Update emoji metadata after successful AI analysis. */
    updateEmojiInfo(id: string, updates: Partial<{
        name: string;
        category: string;
        tags: string[];
    }>): Promise<boolean>;
    /** Get emoji data by ID (returns null if not found). */
    getEmojiById(id: string): Promise<{
        id: string;
        name: string;
        category: string;
        tags: string[];
        path: string;
    } | null>;
}
/**
 * UploadManager handles emoji upload orchestration, deduplication,
 * file management, and AI task queue management. Maintains in-memory caches
 * to avoid repeated database queries during bulk uploads.
 */
export declare class UploadManager {
    private ctx;
    private config;
    private emojiHashes;
    private emojiHashMap;
    private aiResultCache;
    private readonly MAX_CACHE_SIZE;
    private readonly CACHE_TTL_MS;
    private _aiPaused;
    private _aiTaskQueue;
    private _processingSet;
    private _localActiveCount;
    private _aiTasksMap;
    private _isDisposed;
    private _taskProcessor;
    constructor(ctx: Context, config: Config);
    /**
     * Set the AI task processor callback.
     * Must be called before starting the task processor loop.
     */
    setTaskProcessor(processor: AITaskProcessor): void;
    /**
     * Load existing emoji hashes into memory cache.
     * Called during initialization to populate the hash set.
     */
    loadExistingHashes(): Promise<void>;
    /**
     * Calculate SHA256 hash of buffer content.
     */
    calculateHash(buffer: Buffer): string;
    /**
     * Validate a new emoji before upload.
     * Returns: null if valid, error message if invalid
     */
    validateNewEmoji(imageData: Buffer, imageHash: string): Promise<string | null>;
    /**
     * Register an emoji after successful upload.
     */
    registerEmoji(id: string, imageHash: string): void;
    /**
     * Prepare emoji file for upload.
     * Saves buffer to temporary location, returns path.
     */
    prepareUploadFile(imageData: Buffer): Promise<{
        path: string;
        id: string;
        extension: string;
    }>;
    /**
     * Move file from temporary location to final storage.
     * Handles cross-device issues (EXDEV).
     */
    finalizeFile(sourcePath: string, destPath: string): Promise<void>;
    /**
     * Clean up temporary upload file.
     */
    cleanupTempFile(tempPath: string): Promise<void>;
    /**
     * Batch validate multiple emojis.
     */
    validateBatch(emojis: {
        buffer: Buffer;
        hash: string;
    }[]): Promise<{
        valid: boolean;
        error?: string;
    }[]>;
    /**
     * Cache AI analysis result in memory.
     */
    cacheAIResult(hash: string, result: AIAnalysisResult): void;
    /**
     * Retrieve cached AI analysis result if available and not expired.
     */
    getCachedAIResult(hash: string): AIAnalysisResult | null;
    /**
     * Clear all memory caches.
     */
    clearCache(): void;
    /**
     * Get cache statistics.
     */
    getCacheStats(): {
        hashCount: number;
        aiResultCacheCount: number;
    };
    /**
     * Queue an AI analysis task for background processing.
     */
    queueAIAnalysis(emojiId: string, imagePath: string, imageHash: string): void;
    /**
     * Get current AI task statistics.
     */
    getAITaskStats(): {
        pending: number;
        processing: number;
        succeeded: number;
        failed: number;
        paused: boolean;
    };
    /**
     * Get list of emoji IDs that have failed AI analysis.
     */
    getFailedAIEmojiIds(): string[];
    getAiTasksAll(): Promise<AITaskDetail[]>;
    deleteAiTask(emojiId: string): void;
    retryAiTask(emojiId: string): Promise<void>;
    /**
     * Pause or resume AI task processing.
     */
    setAIPaused(paused: boolean): void;
    /**
     * Retry all previously failed AI tasks.
     * Returns the number of tasks re-queued.
     */
    retryFailedTasks(): Promise<number>;
    /**
     * Queue a batch of emojis for re-analysis.
     * Skips emojis that are already queued or processing.
     * Returns the number of tasks queued.
     */
    reanalyzeBatch(ids: string[]): Promise<number>;
    /**
     * Process a single AI task.
     */
    private processAITask;
    /**
     * Start the background AI task processor loop.
     * Runs until the context is disposed.
     */
    startAITaskProcessor(): Promise<void>;
}
export {};