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c681155de2
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docs(r-engine): Update R statistics engine guide v1.6 with structured error handling
- Update execute-code error response format with new fields: error_type, error_line, error_context, console_output
- Document withCallingHandlers for warnings/messages capture in sandbox
- Add error code reference table (E001-E101 + E_EXEC, 20+ pattern matching)
- Document format_agent_error() structured error extraction for CoderAgent auto-repair
- Fix caller description: ReviewerAgent paused, CoderAgent is the actual caller
- Clarify difference between /skills (map_r_error) and /execute-code (format_agent_error) error handling
- Update directory structure descriptions for plumber.R and error_codes.R
Made-with: Cursor
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2026-03-07 22:38:28 +08:00 |
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aadceb5cde
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feat(ssa): Implement dual-channel architecture Phase 1-3 (QPER + LLM Agent pipeline)
Completed:
- Phase 1: DB schema (execution_mode + ssa_agent_executions), ModeToggle component, Session PATCH API
- Phase 2: AgentPlannerService + AgentCoderService (streaming) + CodeRunnerService + R Docker /execute-code endpoint
- Phase 3: AgentCodePanel (3-step confirmation UI), SSE event handling (7 agent events), streaming code display
- Three-step confirmation pipeline: plan -> user confirm -> stream code -> user confirm -> execute R code -> results
- R Docker sandbox /execute-code endpoint with 120s timeout + block_helpers preloaded
- E2E dual-channel test script (8 tests)
- Updated R engine architecture doc (v1.5) and SSA module status doc (v4.0)
Technical details:
- AgentCoderService uses LLM streaming (chatStream) for real-time code generation feedback
- ReviewerAgent temporarily disabled, prioritizing Plan -> Code -> Execute flow
- CodeRunnerService wraps user code with auto data loading (df variable injection)
- Frontend handles agent_planning, agent_plan_ready, code_generating, code_generated, code_executing, code_result events
- ask_user mechanism used for plan and code confirmation steps
Files: 24 files (4 new services, 2 new components, 1 migration, 1 E2E test, 16 modified)
Made-with: Cursor
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2026-03-02 22:23:54 +08:00 |
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205932bb3f
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feat(asl): Complete Tool 4 SR Chart Generator and Tool 5 Meta Analysis Engine
Tool 4 - SR Chart Generator:
- PRISMA 2020 flow diagram with Chinese/English toggle (SVG)
- Baseline characteristics table (Table 1)
- Dual data source: project pipeline API + Excel upload
- SVG/PNG export support
- Backend: ChartingService with Prisma aggregation
- Frontend: PrismaFlowDiagram, BaselineTable, DataSourceSelector
Tool 5 - Meta Analysis Engine:
- 3 data types: HR (metagen), dichotomous (metabin), continuous (metacont)
- Random and fixed effects models
- Multiple effect measures: HR / OR / RR
- Forest plot + funnel plot (base64 PNG from R)
- Heterogeneity statistics: I2, Q, p-value, Tau2
- Data input via Excel upload or project pipeline
- R Docker image updated with meta package (13 tools total)
- E2E test: 36/36 passed
- Key fix: exp() back-transformation for log-scale ratio measures
Also includes:
- IIT CRA Agent V3.0 routing and AI chat page integration
- Updated ASL module status guide (v2.3)
- Updated system status guide (v6.3)
- Updated R statistics engine guide (v1.4)
Tested: Frontend renders correctly, backend APIs functional, E2E tests passed
Made-with: Cursor
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2026-02-26 21:51:02 +08:00 |
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3446909ff7
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feat(ssa): Complete Phase I-IV intelligent dialogue and tool system development
Phase I - Session Blackboard + READ Layer:
- SessionBlackboardService with Postgres-Only cache
- DataProfileService for data overview generation
- PicoInferenceService for LLM-driven PICO extraction
- Frontend DataContextCard and VariableDictionaryPanel
- E2E tests: 31/31 passed
Phase II - Conversation Layer LLM + Intent Router:
- ConversationService with SSE streaming
- IntentRouterService (rule-first + LLM fallback, 6 intents)
- SystemPromptService with 6-segment dynamic assembly
- TokenTruncationService for context management
- ChatHandlerService as unified chat entry
- Frontend SSAChatPane and useSSAChat hook
- E2E tests: 38/38 passed
Phase III - Method Consultation + AskUser Standardization:
- ToolRegistryService with Repository Pattern
- MethodConsultService with DecisionTable + LLM enhancement
- AskUserService with global interrupt handling
- Frontend AskUserCard component
- E2E tests: 13/13 passed
Phase IV - Dialogue-Driven Analysis + QPER Integration:
- ToolOrchestratorService (plan/execute/report)
- analysis_plan SSE event for WorkflowPlan transmission
- Dual-channel confirmation (ask_user card + workspace button)
- PICO as optional hint for LLM parsing
- E2E tests: 25/25 passed
R Statistics Service:
- 5 new R tools: anova_one, baseline_table, fisher, linear_reg, wilcoxon
- Enhanced guardrails and block helpers
- Comprehensive test suite (run_all_tools_test.js)
Documentation:
- Updated system status document (v5.9)
- Updated SSA module status and development plan (v1.8)
Total E2E: 107/107 passed (Phase I: 31, Phase II: 38, Phase III: 13, Phase IV: 25)
Co-authored-by: Cursor <cursoragent@cursor.com>
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2026-02-22 18:53:39 +08:00 |
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428a22adf2
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feat(ssa): Complete Phase 2A frontend integration - multi-step workflow end-to-end
Phase 2A: WorkflowPlannerService, WorkflowExecutorService, Python data quality, 6 bug fixes, DescriptiveResultView, multi-step R code/Word export, MVP UI reuse. V11 UI: Gemini-style, multi-task, single-page scroll, Word export. Architecture: Block-based rendering consensus (4 block types). New R tools: chi_square, correlation, descriptive, logistic_binary, mann_whitney, t_test_paired. Docs: dev summary, block-based plan, status updates, task list v2.0.
Co-authored-by: Cursor <cursoragent@cursor.com>
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2026-02-20 23:09:27 +08:00 |
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49b5c37cb1
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feat(ssa): Complete T-test end-to-end testing with 9 bug fixes - Phase 1 core 85% complete. R service: missing value auto-filter. Backend: error handling, variable matching, dynamic filename. Frontend: module activation, session isolation, error propagation. Full flow verified.
Co-authored-by: Cursor <cursoragent@cursor.com>
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2026-02-19 20:57:00 +08:00 |
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