mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-02-13 02:41:50 +08:00
feat: Add core memory clustering visualization and hooks configuration
- Implemented core memory clustering visualization in core-memory-clusters.js - Added functions for loading, rendering, and managing clusters and their members - Created example hooks configuration in hooks-config-example.json for session management - Developed test script for hooks integration in test-hooks.js - Included error handling and notifications for user interactions
This commit is contained in:
catlog22
842
ccw/src/core/session-clustering-service.ts
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842
ccw/src/core/session-clustering-service.ts
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/**
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* Session Clustering Service
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* Intelligently groups related sessions into clusters using multi-dimensional similarity analysis
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*/
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import { CoreMemoryStore, SessionCluster, ClusterMember, SessionMetadataCache } from './core-memory-store.js';
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import { CliHistoryStore } from '../tools/cli-history-store.js';
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import { StoragePaths } from '../config/storage-paths.js';
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import { readdirSync, readFileSync, statSync, existsSync } from 'fs';
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import { join } from 'path';
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// Clustering dimension weights
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const WEIGHTS = {
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fileOverlap: 0.3,
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temporalProximity: 0.2,
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semanticSimilarity: 0.3,
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intentAlignment: 0.2,
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};
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// Clustering threshold
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const CLUSTER_THRESHOLD = 0.6;
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export interface ClusteringOptions {
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scope?: 'all' | 'recent' | 'unclustered';
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timeRange?: { start: string; end: string };
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minClusterSize?: number;
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}
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export interface ClusteringResult {
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clustersCreated: number;
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sessionsProcessed: number;
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sessionsClustered: number;
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}
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export class SessionClusteringService {
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private coreMemoryStore: CoreMemoryStore;
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private cliHistoryStore: CliHistoryStore;
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private projectPath: string;
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constructor(projectPath: string) {
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this.projectPath = projectPath;
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this.coreMemoryStore = new CoreMemoryStore(projectPath);
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this.cliHistoryStore = new CliHistoryStore(projectPath);
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}
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/**
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* Collect all session sources
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*/
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async collectSessions(options?: ClusteringOptions): Promise<SessionMetadataCache[]> {
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const sessions: SessionMetadataCache[] = [];
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// 1. Core Memories
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const memories = this.coreMemoryStore.getMemories({ archived: false, limit: 1000 });
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for (const memory of memories) {
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const cached = this.coreMemoryStore.getSessionMetadata(memory.id);
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if (cached) {
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sessions.push(cached);
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} else {
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const metadata = this.extractMetadata(memory, 'core_memory');
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sessions.push(metadata);
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}
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}
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// 2. CLI History
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const history = this.cliHistoryStore.getHistory({ limit: 1000 });
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for (const exec of history.executions) {
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const cached = this.coreMemoryStore.getSessionMetadata(exec.id);
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if (cached) {
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sessions.push(cached);
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} else {
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const conversation = this.cliHistoryStore.getConversation(exec.id);
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if (conversation) {
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const metadata = this.extractMetadata(conversation, 'cli_history');
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sessions.push(metadata);
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}
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}
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}
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// 3. Workflow Sessions (WFS-*)
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const workflowSessions = await this.parseWorkflowSessions();
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sessions.push(...workflowSessions);
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// Apply scope filter
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if (options?.scope === 'recent') {
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// Last 30 days
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const cutoff = new Date();
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cutoff.setDate(cutoff.getDate() - 30);
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const cutoffStr = cutoff.toISOString();
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return sessions.filter(s => (s.created_at || '') >= cutoffStr);
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} else if (options?.scope === 'unclustered') {
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// Only sessions not in any cluster
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return sessions.filter(s => {
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const clusters = this.coreMemoryStore.getSessionClusters(s.session_id);
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return clusters.length === 0;
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});
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}
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return sessions;
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}
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/**
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* Extract metadata from a session
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*/
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extractMetadata(session: any, type: 'core_memory' | 'workflow' | 'cli_history' | 'native'): SessionMetadataCache {
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let content = '';
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let title = '';
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let created_at = '';
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if (type === 'core_memory') {
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content = session.content || '';
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created_at = session.created_at;
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// Extract title from first line
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const lines = content.split('\n');
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title = lines[0].replace(/^#+\s*/, '').trim().substring(0, 100);
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} else if (type === 'cli_history') {
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// Extract from conversation turns
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const turns = session.turns || [];
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if (turns.length > 0) {
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content = turns.map((t: any) => t.prompt).join('\n');
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title = turns[0].prompt.substring(0, 100);
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created_at = session.created_at || turns[0].timestamp;
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}
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} else if (type === 'workflow') {
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content = session.content || '';
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title = session.title || 'Workflow Session';
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created_at = session.created_at || '';
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}
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const summary = content.substring(0, 200).trim();
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const keywords = this.extractKeywords(content);
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const file_patterns = this.extractFilePatterns(content);
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const token_estimate = Math.ceil(content.length / 4);
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return {
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session_id: session.id,
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session_type: type,
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title,
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summary,
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keywords,
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token_estimate,
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file_patterns,
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created_at,
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last_accessed: new Date().toISOString(),
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access_count: 0
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};
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}
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/**
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* Extract keywords from content
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*/
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private extractKeywords(content: string): string[] {
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const keywords = new Set<string>();
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// 1. File paths (src/xxx, .ts, .js, etc)
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const filePathRegex = /(?:^|\s|["'`])((?:\.\/|\.\.\/|\/)?[\w-]+(?:\/[\w-]+)*\.[\w]+)(?:\s|["'`]|$)/g;
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let match;
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while ((match = filePathRegex.exec(content)) !== null) {
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keywords.add(match[1]);
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}
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// 2. Function/Class names (camelCase, PascalCase)
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const camelCaseRegex = /\b([A-Z][a-z]+(?:[A-Z][a-z]+)+|[a-z]+[A-Z][a-z]+(?:[A-Z][a-z]+)*)\b/g;
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while ((match = camelCaseRegex.exec(content)) !== null) {
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keywords.add(match[1]);
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}
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// 3. Technical terms (common frameworks/libraries)
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const techTerms = [
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'react', 'vue', 'angular', 'typescript', 'javascript', 'node', 'express',
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'auth', 'authentication', 'jwt', 'oauth', 'session', 'token',
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'api', 'rest', 'graphql', 'database', 'sql', 'mongodb', 'redis',
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'test', 'testing', 'jest', 'mocha', 'vitest',
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'refactor', 'refactoring', 'optimization', 'performance',
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'bug', 'fix', 'error', 'issue', 'debug'
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];
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const lowerContent = content.toLowerCase();
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for (const term of techTerms) {
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if (lowerContent.includes(term)) {
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keywords.add(term);
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}
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}
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// Return top 20 keywords
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return Array.from(keywords).slice(0, 20);
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}
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/**
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* Extract file patterns from content
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*/
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private extractFilePatterns(content: string): string[] {
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const patterns = new Set<string>();
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// Extract directory patterns (src/xxx/, lib/xxx/)
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const dirRegex = /\b((?:src|lib|test|dist|build|public|components|utils|services|config|core|tools)(?:\/[\w-]+)*)\//g;
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let match;
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while ((match = dirRegex.exec(content)) !== null) {
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patterns.add(match[1] + '/**');
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}
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// Extract file extension patterns
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const extRegex = /\.(\w+)(?:\s|$|["'`])/g;
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const extensions = new Set<string>();
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while ((match = extRegex.exec(content)) !== null) {
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extensions.add(match[1]);
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}
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// Add extension patterns
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if (extensions.size > 0) {
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patterns.add(`**/*.{${Array.from(extensions).join(',')}}`);
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}
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return Array.from(patterns).slice(0, 10);
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}
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/**
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* Calculate relevance score between two sessions
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*/
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calculateRelevance(session1: SessionMetadataCache, session2: SessionMetadataCache): number {
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const fileScore = this.calculateFileOverlap(session1, session2);
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const temporalScore = this.calculateTemporalProximity(session1, session2);
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const semanticScore = this.calculateSemanticSimilarity(session1, session2);
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const intentScore = this.calculateIntentAlignment(session1, session2);
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return (
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fileScore * WEIGHTS.fileOverlap +
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temporalScore * WEIGHTS.temporalProximity +
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semanticScore * WEIGHTS.semanticSimilarity +
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intentScore * WEIGHTS.intentAlignment
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);
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}
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/**
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* Calculate file path overlap score (Jaccard similarity)
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*/
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private calculateFileOverlap(s1: SessionMetadataCache, s2: SessionMetadataCache): number {
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const files1 = new Set(s1.file_patterns || []);
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const files2 = new Set(s2.file_patterns || []);
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if (files1.size === 0 || files2.size === 0) return 0;
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const intersection = new Set([...files1].filter(f => files2.has(f)));
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const union = new Set([...files1, ...files2]);
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return intersection.size / union.size;
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}
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/**
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* Calculate temporal proximity score
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* 24h: 1.0, 7d: 0.7, 30d: 0.4, >30d: 0.1
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*/
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private calculateTemporalProximity(s1: SessionMetadataCache, s2: SessionMetadataCache): number {
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if (!s1.created_at || !s2.created_at) return 0.1;
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const t1 = new Date(s1.created_at).getTime();
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const t2 = new Date(s2.created_at).getTime();
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const diffMs = Math.abs(t1 - t2);
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const diffHours = diffMs / (1000 * 60 * 60);
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if (diffHours <= 24) return 1.0;
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if (diffHours <= 24 * 7) return 0.7;
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if (diffHours <= 24 * 30) return 0.4;
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return 0.1;
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}
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/**
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* Calculate semantic similarity using keyword overlap (Jaccard similarity)
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*/
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private calculateSemanticSimilarity(s1: SessionMetadataCache, s2: SessionMetadataCache): number {
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const kw1 = new Set(s1.keywords || []);
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const kw2 = new Set(s2.keywords || []);
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if (kw1.size === 0 || kw2.size === 0) return 0;
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const intersection = new Set([...kw1].filter(k => kw2.has(k)));
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const union = new Set([...kw1, ...kw2]);
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return intersection.size / union.size;
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}
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/**
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* Calculate intent alignment score
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* Based on title/summary keyword matching
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*/
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private calculateIntentAlignment(s1: SessionMetadataCache, s2: SessionMetadataCache): number {
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const text1 = ((s1.title || '') + ' ' + (s1.summary || '')).toLowerCase();
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const text2 = ((s2.title || '') + ' ' + (s2.summary || '')).toLowerCase();
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if (!text1 || !text2) return 0;
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// Simple word-based TF-IDF approximation
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const words1 = text1.split(/\s+/).filter(w => w.length > 3);
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const words2 = text2.split(/\s+/).filter(w => w.length > 3);
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const set1 = new Set(words1);
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const set2 = new Set(words2);
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const intersection = new Set([...set1].filter(w => set2.has(w)));
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const union = new Set([...set1, ...set2]);
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return intersection.size / union.size;
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}
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/**
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* Run auto-clustering algorithm
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*/
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async autocluster(options?: ClusteringOptions): Promise<ClusteringResult> {
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// 1. Collect sessions
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const sessions = await this.collectSessions(options);
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console.log(`[Clustering] Collected ${sessions.length} sessions`);
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// 2. Update metadata cache
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for (const session of sessions) {
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this.coreMemoryStore.upsertSessionMetadata(session);
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}
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// 3. Calculate relevance matrix
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const n = sessions.length;
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const relevanceMatrix: number[][] = Array(n).fill(0).map(() => Array(n).fill(0));
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for (let i = 0; i < n; i++) {
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for (let j = i + 1; j < n; j++) {
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const score = this.calculateRelevance(sessions[i], sessions[j]);
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relevanceMatrix[i][j] = score;
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relevanceMatrix[j][i] = score;
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}
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}
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// 4. Agglomerative clustering
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const clusters = this.agglomerativeClustering(sessions, relevanceMatrix, CLUSTER_THRESHOLD);
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console.log(`[Clustering] Generated ${clusters.length} clusters`);
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// 5. Create session_clusters
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let clustersCreated = 0;
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let sessionsClustered = 0;
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for (const cluster of clusters) {
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if (cluster.length < (options?.minClusterSize || 2)) {
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continue; // Skip small clusters
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}
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const clusterName = this.generateClusterName(cluster);
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const clusterIntent = this.generateClusterIntent(cluster);
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const clusterRecord = this.coreMemoryStore.createCluster({
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name: clusterName,
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description: `Auto-generated cluster with ${cluster.length} sessions`,
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intent: clusterIntent,
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status: 'active'
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});
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// Add members
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cluster.forEach((session, index) => {
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this.coreMemoryStore.addClusterMember({
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cluster_id: clusterRecord.id,
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session_id: session.session_id,
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session_type: session.session_type as 'core_memory' | 'workflow' | 'cli_history' | 'native',
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sequence_order: index + 1,
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relevance_score: 1.0 // TODO: Calculate based on centrality
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});
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});
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clustersCreated++;
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sessionsClustered += cluster.length;
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}
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return {
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clustersCreated,
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sessionsProcessed: sessions.length,
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sessionsClustered
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};
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}
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/**
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* Agglomerative clustering algorithm
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* Returns array of clusters (each cluster is array of sessions)
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*/
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private agglomerativeClustering(
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sessions: SessionMetadataCache[],
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relevanceMatrix: number[][],
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threshold: number
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): SessionMetadataCache[][] {
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const n = sessions.length;
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// Initialize: each session is its own cluster
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const clusters: Set<number>[] = sessions.map((_, i) => new Set([i]));
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while (true) {
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let maxScore = -1;
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let mergeI = -1;
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let mergeJ = -1;
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// Find pair of clusters with highest average linkage
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for (let i = 0; i < clusters.length; i++) {
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for (let j = i + 1; j < clusters.length; j++) {
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const score = this.averageLinkage(clusters[i], clusters[j], relevanceMatrix);
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if (score > maxScore) {
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maxScore = score;
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mergeI = i;
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mergeJ = j;
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}
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}
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}
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// Stop if no pair exceeds threshold
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if (maxScore < threshold) break;
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// Merge clusters
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const merged = new Set([...clusters[mergeI], ...clusters[mergeJ]]);
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clusters.splice(mergeJ, 1); // Remove j first (higher index)
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clusters.splice(mergeI, 1);
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clusters.push(merged);
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}
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// Convert cluster indices to sessions
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return clusters.map(cluster =>
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Array.from(cluster).map(i => sessions[i])
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);
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}
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/**
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* Calculate average linkage between two clusters
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*/
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private averageLinkage(
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cluster1: Set<number>,
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cluster2: Set<number>,
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relevanceMatrix: number[][]
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): number {
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let sum = 0;
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let count = 0;
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for (const i of cluster1) {
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for (const j of cluster2) {
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sum += relevanceMatrix[i][j];
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count++;
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}
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}
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return count > 0 ? sum / count : 0;
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}
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/**
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* Generate cluster name from members
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*/
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private generateClusterName(members: SessionMetadataCache[]): string {
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// Count keyword frequency
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const keywordFreq = new Map<string, number>();
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for (const member of members) {
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for (const keyword of member.keywords || []) {
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keywordFreq.set(keyword, (keywordFreq.get(keyword) || 0) + 1);
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}
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}
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// Get top 2 keywords
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const sorted = Array.from(keywordFreq.entries())
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.sort((a, b) => b[1] - a[1])
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.map(([kw]) => kw);
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if (sorted.length >= 2) {
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return `${sorted[0]}-${sorted[1]}`;
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} else if (sorted.length === 1) {
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return sorted[0];
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} else {
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return 'unnamed-cluster';
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}
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}
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/**
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* Generate cluster intent from members
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*/
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private generateClusterIntent(members: SessionMetadataCache[]): string {
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// Extract common action words from titles
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const actionWords = ['implement', 'refactor', 'fix', 'add', 'create', 'update', 'optimize'];
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const titles = members.map(m => (m.title || '').toLowerCase());
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for (const action of actionWords) {
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const count = titles.filter(t => t.includes(action)).length;
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if (count >= members.length / 2) {
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const topic = this.generateClusterName(members);
|
||||
return `${action.charAt(0).toUpperCase() + action.slice(1)} ${topic}`;
|
||||
}
|
||||
}
|
||||
|
||||
return `Work on ${this.generateClusterName(members)}`;
|
||||
}
|
||||
|
||||
/**
|
||||
* Get progressive disclosure index for hook
|
||||
* @param options - Configuration options
|
||||
* @param options.type - 'session-start' returns recent sessions, 'context' returns intent-matched sessions
|
||||
* @param options.sessionId - Current session ID (optional)
|
||||
* @param options.prompt - User prompt for intent matching (required for 'context' type)
|
||||
*/
|
||||
async getProgressiveIndex(options: {
|
||||
type: 'session-start' | 'context';
|
||||
sessionId?: string;
|
||||
prompt?: string;
|
||||
}): Promise<string> {
|
||||
const { type, sessionId, prompt } = options;
|
||||
|
||||
// For session-start: return recent sessions by time
|
||||
if (type === 'session-start') {
|
||||
return this.getRecentSessionsIndex();
|
||||
}
|
||||
|
||||
// For context: return intent-matched sessions based on prompt
|
||||
if (type === 'context' && prompt) {
|
||||
return this.getIntentMatchedIndex(prompt, sessionId);
|
||||
}
|
||||
|
||||
// Fallback to recent sessions
|
||||
return this.getRecentSessionsIndex();
|
||||
}
|
||||
|
||||
/**
|
||||
* Get recent sessions index (for session-start)
|
||||
*/
|
||||
private async getRecentSessionsIndex(): Promise<string> {
|
||||
const sessions = await this.collectSessions({ scope: 'recent' });
|
||||
|
||||
// Sort by created_at descending (most recent first)
|
||||
const sortedSessions = sessions
|
||||
.filter(s => s.created_at)
|
||||
.sort((a, b) => (b.created_at || '').localeCompare(a.created_at || ''))
|
||||
.slice(0, 10); // Top 10 recent sessions
|
||||
|
||||
if (sortedSessions.length === 0) {
|
||||
return `<ccw-session-context>
|
||||
## 📋 Recent Sessions
|
||||
|
||||
No recent sessions found. Start a new workflow to begin tracking.
|
||||
|
||||
**MCP Tools**:
|
||||
\`\`\`
|
||||
# Search sessions
|
||||
Use tool: mcp__ccw-tools__core_memory
|
||||
Parameters: { "action": "search", "query": "<keyword>" }
|
||||
|
||||
# Create new session
|
||||
Parameters: { "action": "save", "content": "<context>" }
|
||||
\`\`\`
|
||||
</ccw-session-context>`;
|
||||
}
|
||||
|
||||
// Generate table
|
||||
let table = `| # | Session | Type | Title | Date |\n`;
|
||||
table += `|---|---------|------|-------|------|\n`;
|
||||
|
||||
sortedSessions.forEach((s, idx) => {
|
||||
const type = s.session_type === 'core_memory' ? 'Core' :
|
||||
s.session_type === 'workflow' ? 'Workflow' : 'CLI';
|
||||
const title = (s.title || '').substring(0, 40);
|
||||
const date = s.created_at ? new Date(s.created_at).toLocaleDateString() : '';
|
||||
table += `| ${idx + 1} | ${s.session_id} | ${type} | ${title} | ${date} |\n`;
|
||||
});
|
||||
|
||||
return `<ccw-session-context>
|
||||
## 📋 Recent Sessions (Last 30 days)
|
||||
|
||||
${table}
|
||||
|
||||
**Resume via MCP**:
|
||||
\`\`\`
|
||||
Use tool: mcp__ccw-tools__core_memory
|
||||
Parameters: { "action": "load", "id": "${sortedSessions[0].session_id}" }
|
||||
\`\`\`
|
||||
|
||||
---
|
||||
**Tip**: Sessions are sorted by most recent. Use \`search\` action to find specific topics.
|
||||
</ccw-session-context>`;
|
||||
}
|
||||
|
||||
/**
|
||||
* Get intent-matched sessions index (for context with prompt)
|
||||
*/
|
||||
private async getIntentMatchedIndex(prompt: string, sessionId?: string): Promise<string> {
|
||||
const sessions = await this.collectSessions({ scope: 'all' });
|
||||
|
||||
if (sessions.length === 0) {
|
||||
return `<ccw-session-context>
|
||||
## 📋 Related Sessions
|
||||
|
||||
No sessions available for intent matching.
|
||||
</ccw-session-context>`;
|
||||
}
|
||||
|
||||
// Create a virtual session from the prompt for similarity calculation
|
||||
const promptSession: SessionMetadataCache = {
|
||||
session_id: 'prompt-virtual',
|
||||
session_type: 'native',
|
||||
title: prompt.substring(0, 100),
|
||||
summary: prompt.substring(0, 200),
|
||||
keywords: this.extractKeywords(prompt),
|
||||
token_estimate: Math.ceil(prompt.length / 4),
|
||||
file_patterns: this.extractFilePatterns(prompt),
|
||||
created_at: new Date().toISOString(),
|
||||
last_accessed: new Date().toISOString(),
|
||||
access_count: 0
|
||||
};
|
||||
|
||||
// Calculate relevance scores for all sessions
|
||||
const scoredSessions = sessions
|
||||
.filter(s => s.session_id !== sessionId) // Exclude current session
|
||||
.map(s => ({
|
||||
session: s,
|
||||
score: this.calculateRelevance(promptSession, s)
|
||||
}))
|
||||
.filter(item => item.score >= 0.3) // Minimum relevance threshold
|
||||
.sort((a, b) => b.score - a.score)
|
||||
.slice(0, 8); // Top 8 relevant sessions
|
||||
|
||||
if (scoredSessions.length === 0) {
|
||||
return `<ccw-session-context>
|
||||
## 📋 Related Sessions
|
||||
|
||||
No sessions match current intent. Consider:
|
||||
- Starting fresh with a new approach
|
||||
- Using \`search\` to find sessions by keyword
|
||||
|
||||
**MCP Tools**:
|
||||
\`\`\`
|
||||
Use tool: mcp__ccw-tools__core_memory
|
||||
Parameters: { "action": "search", "query": "<keyword>" }
|
||||
\`\`\`
|
||||
</ccw-session-context>`;
|
||||
}
|
||||
|
||||
// Group by relevance tier
|
||||
const highRelevance = scoredSessions.filter(s => s.score >= 0.6);
|
||||
const mediumRelevance = scoredSessions.filter(s => s.score >= 0.4 && s.score < 0.6);
|
||||
const lowRelevance = scoredSessions.filter(s => s.score < 0.4);
|
||||
|
||||
// Generate output
|
||||
let output = `<ccw-session-context>
|
||||
## 📋 Intent-Matched Sessions
|
||||
|
||||
**Detected Intent**: ${promptSession.keywords.slice(0, 5).join(', ') || 'General'}
|
||||
|
||||
`;
|
||||
|
||||
if (highRelevance.length > 0) {
|
||||
output += `### 🔥 Highly Relevant (${highRelevance.length})\n`;
|
||||
output += `| Session | Type | Match | Summary |\n`;
|
||||
output += `|---------|------|-------|--------|\n`;
|
||||
for (const item of highRelevance) {
|
||||
const type = item.session.session_type === 'core_memory' ? 'Core' :
|
||||
item.session.session_type === 'workflow' ? 'Workflow' : 'CLI';
|
||||
const matchPct = Math.round(item.score * 100);
|
||||
const summary = (item.session.title || item.session.summary || '').substring(0, 35);
|
||||
output += `| ${item.session.session_id} | ${type} | ${matchPct}% | ${summary} |\n`;
|
||||
}
|
||||
output += `\n`;
|
||||
}
|
||||
|
||||
if (mediumRelevance.length > 0) {
|
||||
output += `### 📌 Related (${mediumRelevance.length})\n`;
|
||||
output += `| Session | Type | Match | Summary |\n`;
|
||||
output += `|---------|------|-------|--------|\n`;
|
||||
for (const item of mediumRelevance) {
|
||||
const type = item.session.session_type === 'core_memory' ? 'Core' :
|
||||
item.session.session_type === 'workflow' ? 'Workflow' : 'CLI';
|
||||
const matchPct = Math.round(item.score * 100);
|
||||
const summary = (item.session.title || item.session.summary || '').substring(0, 35);
|
||||
output += `| ${item.session.session_id} | ${type} | ${matchPct}% | ${summary} |\n`;
|
||||
}
|
||||
output += `\n`;
|
||||
}
|
||||
|
||||
if (lowRelevance.length > 0) {
|
||||
output += `### 💡 May Be Useful (${lowRelevance.length})\n`;
|
||||
const sessionList = lowRelevance.map(s => s.session.session_id).join(', ');
|
||||
output += `${sessionList}\n\n`;
|
||||
}
|
||||
|
||||
// Add resume command for top match
|
||||
const topMatch = scoredSessions[0];
|
||||
output += `**Resume Top Match**:
|
||||
\`\`\`
|
||||
Use tool: mcp__ccw-tools__core_memory
|
||||
Parameters: { "action": "load", "id": "${topMatch.session.session_id}" }
|
||||
\`\`\`
|
||||
|
||||
---
|
||||
**Tip**: Sessions ranked by semantic similarity to your prompt.
|
||||
</ccw-session-context>`;
|
||||
|
||||
return output;
|
||||
}
|
||||
|
||||
/**
|
||||
* Legacy method for backward compatibility
|
||||
* @deprecated Use getProgressiveIndex({ type, sessionId, prompt }) instead
|
||||
*/
|
||||
async getProgressiveIndexLegacy(sessionId?: string): Promise<string> {
|
||||
let activeCluster: SessionCluster | null = null;
|
||||
let members: SessionMetadataCache[] = [];
|
||||
|
||||
if (sessionId) {
|
||||
const clusters = this.coreMemoryStore.getSessionClusters(sessionId);
|
||||
if (clusters.length > 0) {
|
||||
activeCluster = clusters[0];
|
||||
const clusterMembers = this.coreMemoryStore.getClusterMembers(activeCluster.id);
|
||||
members = clusterMembers
|
||||
.map(m => this.coreMemoryStore.getSessionMetadata(m.session_id))
|
||||
.filter((m): m is SessionMetadataCache => m !== null)
|
||||
.sort((a, b) => (a.created_at || '').localeCompare(b.created_at || ''));
|
||||
}
|
||||
}
|
||||
|
||||
if (!activeCluster || members.length === 0) {
|
||||
return `<ccw-session-context>
|
||||
## 📋 Related Sessions Index
|
||||
|
||||
No active cluster found. Start a new workflow or continue from recent sessions.
|
||||
|
||||
**MCP Tools**:
|
||||
\`\`\`
|
||||
# Search sessions
|
||||
Use tool: mcp__ccw-tools__core_memory
|
||||
Parameters: { "action": "search", "query": "<keyword>" }
|
||||
|
||||
# Trigger clustering
|
||||
Parameters: { "action": "cluster", "scope": "auto" }
|
||||
\`\`\`
|
||||
</ccw-session-context>`;
|
||||
}
|
||||
|
||||
// Generate table
|
||||
let table = `| # | Session | Type | Summary | Tokens |\n`;
|
||||
table += `|---|---------|------|---------|--------|\n`;
|
||||
|
||||
members.forEach((m, idx) => {
|
||||
const type = m.session_type === 'core_memory' ? 'Core' :
|
||||
m.session_type === 'workflow' ? 'Workflow' : 'CLI';
|
||||
const summary = (m.summary || '').substring(0, 40);
|
||||
const token = `~${m.token_estimate || 0}`;
|
||||
table += `| ${idx + 1} | ${m.session_id} | ${type} | ${summary} | ${token} |\n`;
|
||||
});
|
||||
|
||||
// Generate timeline - show multiple recent sessions
|
||||
let timeline = '';
|
||||
if (members.length > 0) {
|
||||
const timelineEntries: string[] = [];
|
||||
const displayCount = Math.min(members.length, 3); // Show last 3 sessions
|
||||
|
||||
for (let i = members.length - displayCount; i < members.length; i++) {
|
||||
const member = members[i];
|
||||
const date = member.created_at ? new Date(member.created_at).toLocaleDateString() : '';
|
||||
const title = member.title?.substring(0, 30) || 'Untitled';
|
||||
const isCurrent = i === members.length - 1;
|
||||
const marker = isCurrent ? ' ← Current' : '';
|
||||
timelineEntries.push(`${date} ─●─ ${member.session_id} (${title})${marker}`);
|
||||
}
|
||||
|
||||
timeline = `\`\`\`\n${timelineEntries.join('\n │\n')}\n\`\`\``;
|
||||
}
|
||||
|
||||
return `<ccw-session-context>
|
||||
## 📋 Related Sessions Index
|
||||
|
||||
### 🔗 Active Cluster: ${activeCluster.name} (${members.length} sessions)
|
||||
**Intent**: ${activeCluster.intent || 'No intent specified'}
|
||||
|
||||
${table}
|
||||
|
||||
**Resume via MCP**:
|
||||
\`\`\`
|
||||
Use tool: mcp__ccw-tools__core_memory
|
||||
Parameters: { "action": "load", "id": "${members[members.length - 1].session_id}" }
|
||||
|
||||
Or load entire cluster:
|
||||
{ "action": "load-cluster", "clusterId": "${activeCluster.id}" }
|
||||
\`\`\`
|
||||
|
||||
### 📊 Timeline
|
||||
${timeline}
|
||||
|
||||
---
|
||||
**Tip**: Use \`mcp__ccw-tools__core_memory({ action: "search", query: "<keyword>" })\` to find more sessions
|
||||
</ccw-session-context>`;
|
||||
}
|
||||
|
||||
/**
|
||||
* Parse workflow session files
|
||||
*/
|
||||
private async parseWorkflowSessions(): Promise<SessionMetadataCache[]> {
|
||||
const sessions: SessionMetadataCache[] = [];
|
||||
const workflowDir = join(this.projectPath, '.workflow', 'sessions');
|
||||
|
||||
if (!existsSync(workflowDir)) {
|
||||
return sessions;
|
||||
}
|
||||
|
||||
try {
|
||||
const sessionDirs = readdirSync(workflowDir).filter(d => d.startsWith('WFS-'));
|
||||
|
||||
for (const sessionDir of sessionDirs) {
|
||||
const sessionFile = join(workflowDir, sessionDir, 'session.json');
|
||||
if (!existsSync(sessionFile)) continue;
|
||||
|
||||
try {
|
||||
const content = readFileSync(sessionFile, 'utf8');
|
||||
const sessionData = JSON.parse(content);
|
||||
|
||||
const metadata: SessionMetadataCache = {
|
||||
session_id: sessionDir,
|
||||
session_type: 'workflow',
|
||||
title: sessionData.title || sessionDir,
|
||||
summary: (sessionData.description || '').substring(0, 200),
|
||||
keywords: this.extractKeywords(JSON.stringify(sessionData)),
|
||||
token_estimate: Math.ceil(JSON.stringify(sessionData).length / 4),
|
||||
file_patterns: this.extractFilePatterns(JSON.stringify(sessionData)),
|
||||
created_at: sessionData.created_at || statSync(sessionFile).mtime.toISOString(),
|
||||
last_accessed: new Date().toISOString(),
|
||||
access_count: 0
|
||||
};
|
||||
|
||||
sessions.push(metadata);
|
||||
} catch (err) {
|
||||
console.warn(`[Clustering] Failed to parse ${sessionFile}:`, err);
|
||||
}
|
||||
}
|
||||
} catch (err) {
|
||||
console.warn('[Clustering] Failed to read workflow sessions:', err);
|
||||
}
|
||||
|
||||
return sessions;
|
||||
}
|
||||
|
||||
/**
|
||||
* Update metadata cache for all sessions
|
||||
*/
|
||||
async refreshMetadataCache(): Promise<number> {
|
||||
const sessions = await this.collectSessions({ scope: 'all' });
|
||||
|
||||
for (const session of sessions) {
|
||||
this.coreMemoryStore.upsertSessionMetadata(session);
|
||||
}
|
||||
|
||||
return sessions.length;
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user