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3 Commits

Author SHA1 Message Date
HaHafeng
ba464082cb feat(core): finalize rvw stability updates and pending module changes 
Summary:
- Harden RVW prompt protocol handling and methodology review flow with 20-checkpoint coverage, divide-and-conquer execution, and timeout tuning
- Update RVW frontend methodology report rendering to show real structured outputs and grouped checkpoint sections
- Include pending backend/frontend updates across IIT admin, SSA, extraction forensics, and related integration files
- Sync system and RVW status documentation, deployment checklist, and RVW architecture/plan docs

Validation:
- Verified lint diagnostics for touched RVW backend/frontend files show no new errors
- Kept backup dump files and local test artifacts untracked

Made-with: Cursor
 2026-03-14 00:00:04 +08:00
HaHafeng
f9ed0c2528 feat(rvw): Complete V2.0 Week 3 - Statistical validation extension and UX improvements 
Week 3 Development Summary:

- Implement negative sign normalization (6 Unicode variants)

- Enhance T-test validation with smart sample size extraction

- Enhance SE triangle and CI-P consistency validation with subrow support

- Add precise sub-cell highlighting for P-values in multi-line cells

- Add frontend issue type Chinese translations (6 new types)

- Add file format tips for PDF/DOC uploads

Technical improvements:

- Add _clean_statistical_text() in extractor.py

- Add _safe_float() wrapper in validator.py

- Add ForensicsReport.tsx component

- Update ISSUE_TYPE_LABELS translations

Documentation:

- Add 2026-02-18 development record

- Update RVW module status (v5.1)

- Update system status (v5.2)

Status: Week 3 complete, ready for Week 4 testing
Co-authored-by: Cursor <cursoragent@cursor.com>
 2026-02-18 18:26:16 +08:00
HaHafeng
e785969e54 feat(rvw): Implement RVW V2.0 Data Forensics Module - Day 6 StatValidator 
Summary:
- Implement L2 Statistical Validator (CI-P consistency, T-test reverse)
- Implement L2.5 Consistency Forensics (SE Triangle, SD>Mean check)
- Add error/warning severity classification with tolerance thresholds
- Support 5+ CI formats parsing (parentheses, brackets, 95% CI prefix)
- Complete Python forensics service (types, config, validator, extractor)

V2.0 Development Progress (Week 2 Day 6):
- Day 1-5: Python service setup, Word table extraction, L1 arithmetic validator
- Day 6: L2 StatValidator + L2.5 consistency forensics (promoted from V2.1)

Test Results:
- Unit tests: 4/4 passed (CI-P, SE Triangle, SD>Mean, T-test)
- Real document tests: 5/5 successful, 2 reasonable WARNINGs

Status: Day 6 completed, ready for Day 7 (Skills Framework)
Co-authored-by: Cursor <cursoragent@cursor.com>
 2026-02-17 22:15:27 +08:00