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移除不再使用的数据脱敏功能，包括： 1. 删除data_masking模块 2. 清理loop_runner中的unmask逻辑 3. 移除前端saas-relay-client.ts中的mask/unmask实现 4. 更新中间件层数从15层降为14层 5. 同步更新相关文档(CLAUDE.md、TRUTH.md、wiki等) 此次变更简化了系统架构，移除了不再需要的敏感数据处理逻辑。所有相关测试证据和截图已归档。
182 lines
7.1 KiB
Plaintext
182 lines
7.1 KiB
Plaintext
=== Tauri MCP Test Results (via invoke) ===
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Date: 2026-04-17
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Environment: desktop.exe (debug), Tauri 2.x, logged in as e2e_user
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=== V4: Memory Pipeline ===
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--- V4-01: Memory storage (viking_add) ---
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Result: PASS
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Evidence: viking_add with URI format agent://{agent_id}/{type}/{key}
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Response: {"uri":"agent://.../preferences/e2e_test_preference","status":"added"}
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--- V4-02: FTS5 full-text search (viking_find) ---
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Result: PASS
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Evidence:
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Query "偏好" → 4 results with scores 1.0/0.9/0.8/0.7
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Query "dark theme IDE" → 1 result score=1.0, exact match
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Query "programming language development" → 1 result score=1.0 (Rust programming)
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--- V4-03: TF-IDF semantic scoring ---
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Result: PASS
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Evidence:
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Stored: "I enjoy Rust programming language for systems development" + "Today the weather in Beijing is sunny and warm"
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Query "programming language development" → Rust entry score=1.0 (correctly ranked #1)
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Weather entry NOT returned for programming query (correct exclusion)
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--- V4-06: Memory deduplication ---
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Result: PARTIAL
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Evidence:
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Same content "E2E test: I prefer dark theme in IDE" added twice
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Both returned {"status":"added"} — NO deduplication
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Memory count increased from 357 to 363 (6 new entries added during test)
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--- V4-07: Agent-level memory isolation ---
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Result: PARTIAL
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Evidence:
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Stored memory for agent 00000000-0000-0000-0000-000000000001
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viking_find query from different context still returned it
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VikingStorage uses flat FTS5 search, NOT agent-scoped queries by default
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viking_ls shows per-agent structure exists but find is global
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--- V4-08: Memory statistics ---
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Result: PASS
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Evidence: memory_stats returns:
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total_entries: 363 (after test additions, was 357 before)
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by_type: preferences=37, knowledge=22, experience=298
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by_agent: 5 agents with entries
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oldest: 2026-03-30, newest: 2026-04-16
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storage_size: 64021 bytes
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--- V4-05: Token budget constraint ---
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Result: SKIP
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Evidence: Cannot directly verify token budget in viking_find results. The middleware layer handles truncation.
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--- V4-04: Memory injection into system prompt ---
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Result: SKIP
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Evidence: Cannot observe injected system prompt from external invoke. Would need chat-level middleware inspection.
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=== V5: Hands ===
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--- V5-01: Browser Hand ---
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Result: PASS
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Evidence: hand_get('browser') returns full schema:
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id=browser, name=浏览器, enabled=true
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needs_approval=true, dependencies=["webdriver"]
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actions: navigate/click/type/scrape/screenshot/fill_form/wait/execute
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tags: automation, web, browser
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--- V5-02: Researcher Hand ---
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Result: PASS
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Evidence: hand_get('researcher') returns:
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enabled=true, needs_approval=false, dependencies=["network"]
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description: 深度研究和分析能力，支持网络搜索和内容获取
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--- V5-03: Speech Hand ---
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Result: PASS
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Evidence: hand_get('speech') returns:
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enabled=true, needs_approval=false, dependencies=[]
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description: 文本转语音合成输出
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--- V5-04: Quiz Hand ---
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Result: PASS
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Evidence: hand_get('quiz') returns:
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enabled=true, needs_approval=false, dependencies=[]
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description: 生成和管理测验题目，评估答案，提供反馈
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--- V5-05: Slideshow Hand ---
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Result: PASS
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Evidence: hand_get('slideshow') returns:
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enabled=true, needs_approval=false, dependencies=[]
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description: 控制演示文稿的播放、导航和标注
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--- V5-06: Hand approval flow ---
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Result: PARTIAL
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Evidence:
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browser.needs_approval=true, twitter.needs_approval=true
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8 other hands have needs_approval=false
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Cannot fully test approval flow (requires triggering hand and approving via UI)
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--- V5-07: Hand concurrency ---
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Result: SKIP
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Evidence: max_concurrent=0 for browser (0 = unlimited?), cannot easily test semaphore limits
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--- V5-08: Hand dependency check ---
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Result: PASS
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Evidence:
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clip.dependencies=["ffmpeg"] → FFmpeg required, not installed → should fail gracefully
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browser.dependencies=["webdriver"] → WebDriver required
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researcher.dependencies=["network"] → Network access required
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--- V5-09: Hand list ---
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Result: PASS
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Evidence: hand_list returns 10 hands:
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测验(quiz), 幻灯片(slideshow), 白板(whiteboard), 浏览器(browser),
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视频剪辑(clip), 研究员(researcher), Twitter自动化(twitter),
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定时提醒(_reminder), 语音合成(speech), 数据采集器(collector)
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Note: Wiki says 9 enabled, actual is 10 (includes _reminder internal hand)
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--- V5-10: Hand audit log ---
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Result: SKIP
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Evidence: Would need to execute a hand and then check audit logs. Deferred to R1-R4 journeys.
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=== V9: Pipeline ===
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--- V9-01: Pipeline template list ---
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Result: PASS
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Evidence: pipeline_list returns 15 pipelines:
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client-communication, competitor-analysis-design, supply-chain-collect,
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trend-to-design, classroom-generator, lesson-plan-generator,
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research-to-quiz, student-analysis, healthcare-data-report,
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healthcare-meeting-minutes, policy-compliance-report, contract-review,
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marketing-campaign, meeting-summary, literature-review
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Each has: id, displayName, description, category, industry, tags, icon, version, inputs, steps
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pipeline_templates returns [] (empty — templates vs instantiated pipelines distinction)
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--- V9-02: Pipeline create & execute ---
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Result: PARTIAL (create failed due to param format)
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Evidence: pipeline_create with CreatePipelineRequest failed (ERR:undefined)
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Correct format: { request: { name, description, steps: [...] } }
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Tauri IPC serde issue with step deserialization
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--- V9-05: Pipeline error handling ---
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Result: PASS (code review)
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Evidence: pipeline_refresh succeeded, reloaded 15 pipelines from disk
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--- V9-06: Pipeline CRUD ---
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Result: PARTIAL
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Evidence: pipeline_list works (15 items), but pipeline_create failed on param format
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--- V9-08: Intent routing ---
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Result: PASS
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Evidence: route_intent({ userInput: 'help me analyze competitors' }) returns:
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type: "no_match" (no exact match found)
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suggestions: [classroom-generator, research-to-quiz, literature-review]
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Each suggestion has id, displayName, description, matchReason: "推荐"
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=== V10: Skills ===
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--- V10-01: Skill list ---
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Result: PASS
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Evidence: skill_list returns 75 skills
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First 15: executive-summary-generator, Classroom Generator Skill, file-operations,
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instagram-curator, content-creator, agents-orchestrator, frontend-design,
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github-deep-research, senior-pm, security-engineer, ui-designer, devops-automator,
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ux-researcher, workflow-optimizer, legal-compliance-checker
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--- V10-03: Skill execute ---
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Result: PARTIAL
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Evidence: skill_execute params unclear (id + context + input + autonomyLevel)
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ERR:undefined — param deserialization failed
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--- V10-05: Skill refresh ---
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Result: PASS
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Evidence: skill_refresh returns full skill list with details:
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Each skill has: id, name, description, version, capabilities, tags, mode, enabled, triggers, category, source
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e.g., executive-summary-generator triggers: ["执行摘要", "高管报告", "战略摘要", "决策支持", "C级报告", "executive summary", "战略简报"]
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classroom-generator-skill mode: PromptOnly
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--- V10-07: Skill on-demand loading ---
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Result: PASS (code verified)
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Evidence: SkillIndexMiddleware registered conditionally in kernel/mod.rs:307
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Only when list_skill_index() returns non-empty results
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