--- name: financial-report-layout-parsing-3a25ec320f1f description: 用于三表/附注拆分的财报版式解析原子 skill，适用于通用行业文档解析场景。 --- # 财报版式解析 Skill ## 数据来源 本 Skill 支持多种财务报表输入格式，核心数据来源包括： ### 1. 财务报表类型 - **年度报告**：年度财务报告 - **季度报告**：季度财务报告 - **半年度报告**：半年度财务报告 - **临时报告**：临时财务报告 ### 2. 文档格式 - **PDF格式**：PDF格式的财务报表 - **Word格式**：Word格式的财务报表 - **Excel格式**：Excel格式的财务报表 - **HTML格式**：网页格式的财务报表 ### 3. 报表结构 - **利润表**：利润表部分 - **资产负债表**：资产负债表部分 - **现金流量表**：现金流量表部分 - **财务报表附注**：财务报表附注部分 ### 4. 数据格式要求 - **文件路径**：本地文件路径或网络文件URL - **文件编码**：UTF-8、GBK、GB2312等 - **文件权限**：需要读取权限 > 说明：本 Skill 不包含文档采集功能，需要用户提供财务报表文件。建议报表格式规范，以便进行准确的版式解析。 --- ## 功能 本 Skill 提供全面的财报版式解析能力，涵盖多种解析功能： ### 1. 报表结构识别 - **报表类型识别**：识别报表的类型和期间 - **报表章节识别**：识别报表的章节结构 - **报表页面识别**：识别报表的页面布局 - **报表区域识别**：识别报表的不同区域 ### 2. 三大报表识别 - **利润表识别**：识别和提取利润表 - **资产负债表识别**：识别和提取资产负债表 - **现金流量表识别**：识别和提取现金流量表 - **报表关联识别**：识别报表之间的关联关系 ### 3. 附注识别 - **附注章节识别**：识别附注的章节结构 - **附注内容提取**：提取附注的具体内容 - **附注表格识别**：识别附注中的表格 - **附注关联识别**：识别附注与报表的关联 ### 4. 表格结构解析 - **表格定位**：定位报表中的表格位置 - **表格结构识别**：识别表格的行列结构 - **表格内容提取**：提取表格的具体内容 - **表格格式保留**：保留表格的格式信息 ### 5. 版式还原 - **版式结构还原**：尽可能还原报表的原始版式 - **格式信息保留**：保留字体、字号等格式信息 - **布局信息记录**：记录页面布局和元素位置 - **版式标准化**：标准化报表版式 ### 6. 高级处理功能 - **报表拆分**：拆分报表的不同部分 - **报表合并**：合并报表的不同部分 - **报表验证**：验证报表的完整性 - **报表报告**：生成报表解析报告 --- ## 使用示例 ### 输出示例 ```json { "source_info": { "document_id": "DOC001", "document_type": "annual_report", "report_period": "2024", "source_file": "annual_report.pdf", "page_count": 200 }, "report_structure": { "sections": [ { "section_id": "SEC001", "section_name": "利润表", "section_type": "income_statement", "start_page": 50, "end_page": 52, "tables": [ { "table_id": "TBL001", "table_type": "income_statement", "position": { "page": 50, "bbox": [100, 200, 500, 600] }, "row_count": 30, "column_count": 5 } ] }, { "section_id": "SEC002", "section_name": "资产负债表", "section_type": "balance_sheet", "start_page": 53, "end_page": 55, "tables": [ { "table_id": "TBL002", "table_type": "balance_sheet", "position": { "page": 53, "bbox": [100, 200, 500, 700] }, "row_count": 50, "column_count": 5 } ] }, { "section_id": "SEC003", "section_name": "现金流量表", "section_type": "cash_flow_statement", "start_page": 56, "end_page": 58, "tables": [ { "table_id": "TBL003", "table_type": "cash_flow_statement", "position": { "page": 56, "bbox": [100, 200, 500, 600] }, "row_count": 25, "column_count": 5 } ] }, { "section_id": "SEC004", "section_name": "财务报表附注", "section_type": "notes", "start_page": 59, "end_page": 200, "subsections": [ { "subsection_name": "一、公司基本情况", "start_page": 59, "end_page": 65 }, { "subsection_name": "二、财务报表编制基础", "start_page": 66, "end_page": 70 } ] } ] }, "statistics": { "total_sections": 4, "total_tables": 3, "total_pages": 200, "parsing_confidence": 0.95 } } ``` --- ## 注意事项与限制 ### 1. 报表格式要求 - 标准格式报表解析准确率较高 - 非标准格式可能影响解析 - 扫描版报表需要OCR支持 ### 2. 报表结构识别 - 标准报表结构识别准确率较高 - 非标准结构可能需要人工处理 - 复杂结构可能需要人工分析 ### 3. 表格识别准确性 - 标准表格识别准确率较高 - 复杂表格可能需要人工处理 - 合并单元格可能影响识别 ### 4. 附注解析 - 标准附注格式解析准确率较高 - 非标准附注可能需要人工处理 - 复杂附注可能需要人工分析 ### 5. 使用限制 - 本 Skill 不包含报表编辑功能 - 解析结果需要人工复核 - 复杂报表可能需要人工处理 --- ## 参考资料 - 见 references/ 目录中的相关文档，包括： - 财报版式解析方法手册 - 财务报表结构标准 - 表格识别算法说明 - 性能优化指南 --- Source attribution: aifinlab Original project: https://github.com/aifinlab/FinClaw/blob/9e62862d1412157fa03ffd1f0b74969dcf0ed66c/skills/archive/financial-report-layout-parsing/SKILL.md License: Apache-2.0 License information: https://www.apache.org/licenses/LICENSE-2.0 Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. 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