HaHafeng
e785969e54
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>
49 lines
965 B
Python
49 lines
965 B
Python
"""
|
||
RVW V2.0 数据侦探模块 (Data Forensics)
|
||
|
||
提供 Word 文档表格提取和数据验证功能：
|
||
- 表格精准提取（python-docx）
|
||
- L1 算术自洽性验证
|
||
- L2 统计学复核（T检验、卡方检验）
|
||
- HTML 片段生成（含 R1C1 坐标）
|
||
|
||
Author: AIclinicalresearch Team
|
||
Version: 2.0.0
|
||
Date: 2026-02-17
|
||
"""
|
||
|
||
from .types import (
|
||
ForensicsConfig,
|
||
TableData,
|
||
Issue,
|
||
ForensicsResult,
|
||
ExtractionError,
|
||
Severity,
|
||
IssueType,
|
||
CellLocation,
|
||
)
|
||
|
||
from .extractor import DocxTableExtractor
|
||
from .validator import ArithmeticValidator, StatValidator
|
||
from .api import router as forensics_router
|
||
|
||
__all__ = [
|
||
# 类型
|
||
"ForensicsConfig",
|
||
"TableData",
|
||
"Issue",
|
||
"ForensicsResult",
|
||
"ExtractionError",
|
||
"Severity",
|
||
"IssueType",
|
||
"CellLocation",
|
||
# 核心类
|
||
"DocxTableExtractor",
|
||
"ArithmeticValidator",
|
||
"StatValidator",
|
||
# 路由
|
||
"forensics_router",
|
||
]
|
||
|
||
__version__ = "2.0.0"
|