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52989cd03f
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feat(ssa): Agent channel UX optimization (Solution B) + Plan-and-Execute architecture design
SSA Agent channel improvements (12 code files, +931/-203 lines):
- Solution B: left/right separation of concerns (gaze guiding + state mutex + time-travel)
- JWT token refresh mechanism (ensureFreshToken) to fix HTTP 401 during pipeline
- Code truncation fix: LLM maxTokens 4000->8000 + CSS max-height 60vh
- Retry streaming code generation with generateCodeStream()
- R Docker structured errors: 20+ pattern matching + format_agent_error + line extraction
- Prompt iron rules: strict output format in CoderAgent System Prompt
- parseCode robustness: XML/Markdown/inference 3-tier matching + length validation
- consoleOutput type defense: handle both array and scalar from R Docker unboxedJSON
- Agent progress bar sync: derive phase from agentExecution.status
- Export report / view code buttons restored for Agent mode
- ExecutingProgress component: real-time timer + dynamic tips + step pulse animation
Architecture design (3 review reports):
- Plan-and-Execute step-by-step execution architecture approved
- Code accumulation strategy (R Docker stays stateless)
- 5 engineering guardrails: XML tags, AST pre-check, defensive prompts, high-fidelity schema, error classification circuit breaker
Docs: update SSA module status v4.1, system status v6.7, deployment changelist
Made-with: Cursor
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2026-03-07 22:32:32 +08:00 |
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f0736dbca1
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feat(asl/extraction): Complete Tool 3 M1+M2 - skeleton pipeline and HITL workbench
M1 Skeleton Pipeline:
- Scatter-dispatch + Aggregator polling pattern (PgBoss)
- PKB ACL bridge (PkbBridgeService -> PkbExportService DTOs)
- ExtractionSingleWorker with DeepSeek-V3 LLM extraction
- PermanentExtractionError for non-retryable failures
- Phantom Retry Guard (idempotent worker)
- 3-step minimal frontend (Setup -> Progress -> Workbench)
- 4 new DB tables (extraction_templates, project_templates, tasks, results)
- 3 system templates seed (RCT, Cohort, QC)
- M1 integration test suite
M2 HITL Workbench:
- MinerU VLM integration for high-fidelity table extraction
- XML-isolated DynamicPromptBuilder with flat JSON output template
- fuzzyQuoteMatch validator (3-tier confidence scoring)
- SSE real-time logging via ExtractionEventBus
- Schema-driven ExtractionDrawer (dynamic field rendering from template)
- Excel wide-table export with flattenModuleData normalization
- M2 integration test suite
Critical Fixes (data normalization):
- DynamicPromptBuilder: explicit flat key-value output format with example
- ExtractionExcelExporter: handle both array and flat data formats
- ExtractionDrawer: schema-driven rendering instead of hardcoded fields
- ExtractionValidator: array-format quote verification support
- SSE route: Fastify register encapsulation to bypass auth for EventSource
- LLM JSON sanitizer: strip illegal control chars before JSON.parse
Also includes: RVW stats verification spec, SSA expert config guide
Tested: M1 pipeline test + M2 HITL test + manual frontend verification
Co-authored-by: Cursor <cursoragent@cursor.com>
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2026-02-25 18:29:20 +08:00 |
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