iven
f3fb5340b5
fix: 发布前审计 Batch 1 — Pipeline 内存泄漏/超时 + Director 死锁 + Rate Limit Worker
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Pipeline executor:
- 添加 cleanup() 方法，MAX_COMPLETED_RUNS=100 上限淘汰旧记录
- 每步执行添加 tokio::time::timeout（使用 PipelineSpec.timeout_secs，默认 300s）
- Delay ms 上限 60000，超出 warn 并截断
Director send_to_agent:
- 重构为 oneshot::channel 响应模式，避免 inbox + pending_requests 锁竞争
- 添加 ensure_inbox_reader() 独立任务分发响应到对应 oneshot sender
cleanup_rate_limit Worker:
- 实现 Worker body: DELETE FROM rate_limit_events WHERE created_at < NOW() - INTERVAL '1 hour'
651 tests passed, 0 failed
2026-04-18 14:09:16 +08:00
iven
828be3cc9e
fix: resolve 6 remaining defects (P2-18, P2-21, P3-04, P3-05, P3-06, P3-02)
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- P2-18: TOTP QR code local generation via qrcode lib (no external service)
- P2-21: Suspend foreign LLM providers (OpenAI/Anthropic/Gemini) for early stage
- P3-04: get_progress() now calculates actual percentage from completed/total steps
- P3-05: saveSaaSSession calls now have .catch() error logging
- P3-06: SaaS relay chatStream passes session_key/agent_id to backend
- P3-02: Whiteboard unification plan document created
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-04-06 09:52:28 +08:00
iven
e3b93ff96d
fix(security): implement all 15 security fixes from penetration test V1
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Security audit (2026-03-31): 5 HIGH + 10 MEDIUM issues, all fixed.
HIGH:
- H1: JWT password_version mechanism (pwv in Claims, middleware verification,
auto-increment on password change)
- H2: Docker saas port bound to 127.0.0.1
- H3: TOTP encryption key decoupled from JWT secret (production bailout)
- H4+H5: Tauri CSP hardened (removed unsafe-inline, restricted connect-src)
MEDIUM:
- M1: Persistent rate limiting (PostgreSQL rate_limit_events table)
- M2: Account lockout (5 failures -> 15min lock)
- M3: RFC 5322 email validation with regex
- M4: Device registration typed struct with length limits
- M5: Provider URL validation on create/update (SSRF prevention)
- M6: Legacy TOTP secret migration (fixed nonce -> random nonce)
- M7: Legacy frontend crypto migration (static salt -> random salt)
- M8+M9: Admin frontend: removed JS token storage, HttpOnly cookie only
- M10: Pipeline debug log sanitization (keys only, 100-char truncation)
Also: fixed CLAUDE.md Section 12 (was corrupted), added title.rs middleware
skeleton, fixed RegisterDeviceRequest visibility.
2026-04-01 08:38:37 +08:00
iven
256dba49db
fix(audit): 第五轮审计修复 — 反思LLM分析、语义路由、并行执行、错误中文化
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- P2: 反思引擎接入 LLM 深度行为分析 (analyze_patterns_with_llm)
- P3-M6: 语义路由 RuntimeLlmIntentDriver 真实 LLM 匹配
- P3-L1: V2 Pipeline execute_parallel 改用 buffer_unordered 真正并行
- P3-S10: Rust 用户可见错误提示统一中文化
累计修复 27 项，完成度 ~72% → ~78%
2026-03-27 12:10:48 +08:00
iven
978dc5cdd8
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
2026-03-26 19:49:03 +08:00
iven
b7f3d94950
fix(presentation): 修复 presentation 模块类型错误和语法问题
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- 创建 types.ts 定义完整的类型系统
- 重写 DocumentRenderer.tsx 修复语法错误
- 重写 QuizRenderer.tsx 修复语法错误
- 重写 PresentationContainer.tsx 添加类型守卫
- 重写 TypeSwitcher.tsx 修复类型引用
- 更新 index.ts 移除不存在的 ChartRenderer 导出
审计结果:
- 类型检查: 通过
- 单元测试: 222 passed
- 构建: 成功
2026-03-26 17:19:28 +08:00
iven
bf6d81f9c6
refactor: 清理未使用代码并添加未来功能标记
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style: 统一代码格式和注释风格
docs: 更新多个功能文档的完整度和状态
feat(runtime): 添加路径验证工具支持
fix(pipeline): 改进条件判断和变量解析逻辑
test(types): 为ID类型添加全面测试用例
chore: 更新依赖项和Cargo.lock文件
perf(mcp): 优化MCP协议传输和错误处理
2026-03-25 21:55:12 +08:00
iven
aa6a9cbd84
feat: 新增技能编排引擎和工作流构建器组件
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refactor: 统一Hands系统常量到单个源文件
refactor: 更新Hands中文名称和描述
fix: 修复技能市场在连接状态变化时重新加载
fix: 修复身份变更提案的错误处理逻辑
docs: 更新多个功能文档的验证状态和实现位置
docs: 更新Hands系统文档
test: 添加测试文件验证工作区路径
2026-03-25 08:27:25 +08:00
iven
9c781f5f2a
feat(pipeline): implement Pipeline DSL system for automated workflows
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Add complete Pipeline DSL system including:
- Rust backend (zclaw-pipeline crate) with parser, executor, and state management
- Frontend components: PipelinesPanel, PipelineResultPreview, ClassroomPreviewer
- Pipeline recommender for Agent conversation integration
- 5 pipeline templates: education, marketing, legal, research, productivity
- Documentation for Pipeline DSL architecture
Pipeline DSL enables declarative workflow definitions with:
- YAML-based configuration
- Expression resolution (${inputs.topic}, ${steps.step1.output})
- LLM integration, parallel execution, file export
- Agent smart recommendations in conversations
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-25 00:52:12 +08:00
