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>
57 lines
1.4 KiB
Plaintext
57 lines
1.4 KiB
Plaintext
# ========================================
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# 生产环境依赖 (2026-01-26 更新)
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# 移除 Nougat，使用 pymupdf4llm 替代
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# ========================================
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# Web框架
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fastapi==0.104.1
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uvicorn[standard]==0.24.0
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python-multipart==0.0.6
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# 数据处理 (DC工具必需)
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pandas>=2.0.0
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numpy>=1.24.0
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polars>=0.19.0
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scipy>=1.11.0 # 统计验证（RVW V2.0 数据侦探：T检验、卡方检验）
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# PDF处理 - 使用 pymupdf4llm（替代 nougat，更轻量）
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PyMuPDF>=1.24.0 # PDF 核心库（代码中 import fitz 使用）
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pymupdf4llm>=0.0.17 # PDF → Markdown
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pdfplumber==0.10.3 # 备用 PDF 处理
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# Word处理
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mammoth==1.6.0 # Docx → Markdown
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python-docx==1.1.0 # Docx 读取
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pypandoc>=1.13 # Markdown → Docx (需要系统安装 pandoc)
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# Excel/CSV处理
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openpyxl>=3.1.2 # Excel 读取
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tabulate>=0.9.0 # DataFrame → Markdown
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# PPT处理
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python-pptx>=0.6.23 # PPT 读取
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# 语言检测
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langdetect==1.0.9
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# 编码检测
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chardet==5.2.0
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# 工具
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python-dotenv==1.0.0
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pydantic>=2.10.0
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# 日志
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loguru==0.7.2
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# 测试工具
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requests==2.31.0
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# ========================================
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# 注意：生产环境已移除以下重量级依赖
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# - nougat-ocr==0.1.17 (约1.5GB)
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# - albumentations==1.3.1 (Nougat依赖)
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#
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# 已使用 pymupdf4llm 替代，功能相似但更轻量
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# ========================================
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