fix(安全): 修复HTML导出中的XSS漏洞并清理调试日志
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refactor(日志): 替换console.log为tracing日志系统
style(代码): 移除未使用的代码和依赖项

feat(测试): 添加端到端测试文档和CI工作流
docs(变更日志): 更新CHANGELOG.md记录0.1.0版本变更

perf(构建): 更新依赖版本并优化CI流程
This commit is contained in:
iven
2026-03-26 19:49:03 +08:00
parent b8d565a9eb
commit 978dc5cdd8
79 changed files with 3953 additions and 5724 deletions

View File

@@ -29,6 +29,9 @@ import {
extractAndStoreMemories,
type ChatMessageForExtraction,
} from './viking-client';
import { createLogger } from './logger';
const log = createLogger('MemoryExtractor');
// === Types ===
@@ -108,7 +111,7 @@ export class MemoryExtractor {
try {
this.llmAdapter = getLLMAdapter();
} catch (error) {
console.warn('[MemoryExtractor] Failed to initialize LLM adapter:', error);
log.warn('Failed to initialize LLM adapter:', error);
}
}
}
@@ -125,15 +128,15 @@ export class MemoryExtractor {
): Promise<ExtractionResult> {
// Cooldown check
if (Date.now() - this.lastExtractionTime < this.config.extractionCooldownMs) {
console.log('[MemoryExtractor] Skipping extraction: cooldown active');
log.debug('Skipping extraction: cooldown active');
return { items: [], saved: 0, skipped: 0, userProfileUpdated: false };
}
// Minimum message threshold
const chatMessages = messages.filter(m => m.role === 'user' || m.role === 'assistant');
console.log(`[MemoryExtractor] Checking extraction: ${chatMessages.length} messages (min: ${this.config.minMessagesForExtraction})`);
log.debug(`Checking extraction: ${chatMessages.length} messages (min: ${this.config.minMessagesForExtraction})`);
if (chatMessages.length < this.config.minMessagesForExtraction) {
console.log('[MemoryExtractor] Skipping extraction: not enough messages');
log.debug('Skipping extraction: not enough messages');
return { items: [], saved: 0, skipped: 0, userProfileUpdated: false };
}
@@ -143,26 +146,26 @@ export class MemoryExtractor {
let extracted: ExtractedItem[];
if ((this.config.useLLM || options?.forceLLM) && this.llmAdapter?.isAvailable()) {
try {
console.log('[MemoryExtractor] Using LLM-powered semantic extraction');
log.debug('Using LLM-powered semantic extraction');
extracted = await this.llmBasedExtraction(chatMessages);
} catch (error) {
console.error('[MemoryExtractor] LLM extraction failed:', error);
log.error('LLM extraction failed:', error);
if (!this.config.llmFallbackToRules) {
throw error;
}
console.log('[MemoryExtractor] Falling back to rule-based extraction');
log.debug('Falling back to rule-based extraction');
extracted = this.ruleBasedExtraction(chatMessages);
}
} else {
// Rule-based extraction
console.log('[MemoryExtractor] Using rule-based extraction');
log.debug('Using rule-based extraction');
extracted = this.ruleBasedExtraction(chatMessages);
console.log(`[MemoryExtractor] Rule-based extracted ${extracted.length} items before filtering`);
log.debug(`Rule-based extracted ${extracted.length} items before filtering`);
}
// Filter by importance threshold
extracted = extracted.filter(item => item.importance >= this.config.minImportanceThreshold);
console.log(`[MemoryExtractor] After importance filtering (>= ${this.config.minImportanceThreshold}): ${extracted.length} items`);
log.debug(`After importance filtering (>= ${this.config.minImportanceThreshold}): ${extracted.length} items`);
// Save to memory (dual storage: intelligenceClient + viking-client/SqliteStorage)
let saved = 0;
@@ -180,10 +183,10 @@ export class MemoryExtractor {
chatMessagesForViking,
agentId
);
console.log(`[MemoryExtractor] Viking storage result: ${vikingResult.summary}`);
log.debug(`Viking storage result: ${vikingResult.summary}`);
saved = vikingResult.memories.length;
} catch (err) {
console.warn('[MemoryExtractor] Viking storage failed, falling back to intelligenceClient:', err);
log.warn('Viking storage failed, falling back to intelligenceClient:', err);
// Fallback: Store via intelligenceClient (in-memory/graph)
for (const item of extracted) {
@@ -214,12 +217,12 @@ export class MemoryExtractor {
await intelligenceClient.identity.appendUserProfile(agentId, `### 自动发现的偏好 (${new Date().toLocaleDateString('zh-CN')})\n${prefSummary}`);
userProfileUpdated = true;
} catch (err) {
console.warn('[MemoryExtractor] Failed to update USER.md:', err);
log.warn('Failed to update USER.md:', err);
}
}
if (saved > 0) {
console.log(`[MemoryExtractor] Extracted ${saved} memories from conversation (${skipped} skipped)`);
log.debug(`Extracted ${saved} memories from conversation (${skipped} skipped)`);
}
return { items: extracted, saved, skipped, userProfileUpdated };
@@ -404,7 +407,7 @@ export class MemoryExtractor {
tags: Array.isArray(item.tags) ? item.tags.map(String) : [],
}));
} catch {
console.warn('[MemoryExtractor] Failed to parse LLM extraction response');
log.warn('Failed to parse LLM extraction response');
return [];
}
}