Refactor: Organize project structure by moving scripts to tools and data files to data directory
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Codex Agent
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# V2 API 许可证名称匹配和审批部门显示修复总结
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## 提交信息
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- **Commit**: 60b94d8
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- **日期**: 2025-12-23
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- **类型**: feat (新功能)
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## 问题描述
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### 1. 许可证名称匹配问题
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用户查询"药品经营许可"时，系统无法直接匹配到数据库中的"药品经营许可证"，导致触发LLM而不是直接数据库查询。
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### 2. 审批部门显示问题
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查询"营业执照"时，返回的 `unit_name` 字段为 `null`，即使已经导入了审批部门数据。
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## 根本原因
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1. **严格的精确匹配**: `find_permit_contexts_by_name` 只支持完全相同的名称匹配
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2. **缺失的数据表**: `permit_approval_departments` 表不存在
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3. **错误的SQL语法**: 模糊匹配使用了 `||` 连接符，在某些数据库中不兼容
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4. **缺少数据**: 即使表存在，也没有审批部门映射数据
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## 解决方案
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### 1. 许可证名称前缀匹配 (licensing_repo.py)
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**修改函数**: `find_permit_contexts_by_name`
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```python
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# 添加前缀匹配逻辑
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if not rows and len(permit_name) >= 2:
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sql_fuzzy = """
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SELECT ... FROM ... WHERE p.name LIKE %s
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"""
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cur.execute(sql_fuzzy, (permit_name + "%",))
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rows = cur.fetchall()
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```
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**效果**:
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- "药品经营许可" 现在可以匹配 "药品经营许可证"
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- "营业执照" 可以匹配 "营业执照（副本）"等
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### 2. 审批部门表自动创建 (licensing_repo.py)
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**新增函数**:
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- `_create_permit_approval_departments_schema()`: 创建表结构
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- `_ensure_permit_approval_departments_schema()`: 确保表存在
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**表结构**:
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```sql
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CREATE TABLE IF NOT EXISTS permit_approval_departments (
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id uuid PRIMARY KEY,
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permit_name text NOT NULL,
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department_name text NOT NULL,
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created_at timestamptz NOT NULL DEFAULT now(),
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updated_at timestamptz NOT NULL DEFAULT now()
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)
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```
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### 3. 修复SQL JOIN逻辑 (licensing_repo.py)
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**修改前**:
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```sql
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LEFT JOIN permit_approval_departments pad
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ON (pad.permit_name = p.name OR p.name LIKE pad.permit_name || '%')
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```
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**修改后**:
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```sql
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LEFT JOIN permit_approval_departments pad
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ON (p.name = pad.permit_name OR p.name LIKE CONCAT(pad.permit_name, '%'))
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```
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**改进**:
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- 使用 `CONCAT()` 函数，兼容性更好
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- 支持精确匹配和前缀匹配
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### 4. 新增管理API端点 (v2.py)
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**端点**: `POST /fs-ai-asistant/api/workflow/lawrisk/admin/approval-departments/setup`
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**功能**:
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- 自动插入常见的审批部门映射
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- 支持更新已存在的映射
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- 返回操作统计信息
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**预置映射**:
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- 营业执照 → 市场监管部门
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- 食品经营许可证 → 市场监管部门
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- 药品经营许可证 → 市场监管部门
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- 医疗器械经营许可证 → 市场监管部门
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- 特种设备使用登记 → 市场监管部门
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### 5. 更新 .gitignore
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**新增规则**:
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```gitignore
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# 临时脚本
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analyze_*.py
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final_importer.py
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ultimate_importer.py
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*_importer.py
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# Excel文件（除模板外）
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*.xlsx
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!样表.xlsx
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```
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## 文件变更
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### 修改的文件
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1. `lawrisk/services/licensing_repo.py` (+1200行)
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- 新增审批部门表管理
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- 修复许可证名称匹配逻辑
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- 修复SQL JOIN语法
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2. `lawrisk/api/v2.py` (+89行)
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- 新增审批部门设置API端点
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3. `.gitignore` (+9行)
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- 添加临时文件忽略规则
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4. `docs/API_V2.md` (更新)
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- 文档更新
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5. `static/db_admin.html` (更新)
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- 前端界面调整
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## 测试验证
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### 测试场景1: 前缀匹配
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**输入**: "药品经营许可"
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**预期**: 直接返回"药品经营许可证"的数据，不触发LLM
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**结果**: ✅ 通过
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### 测试场景2: 审批部门显示
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**输入**: "营业执照"
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**预期**: `unit_name` 返回 "市场监管部门"
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**结果**: ✅ 通过
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### 测试场景3: 精确匹配优先
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**输入**: "营业执照"（数据库中存在完全相同的名称）
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**预期**: 优先返回精确匹配结果
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**结果**: ✅ 通过
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## 影响范围
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### 正面影响
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1. ✅ 提升用户体验：减少不必要的LLM调用
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2. ✅ 提高响应速度：直接数据库查询比LLM快
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3. ✅ 降低成本：减少LLM API调用
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4. ✅ 数据完整性：审批部门信息正确显示
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### 潜在风险
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1. ⚠️ 前缀匹配可能返回多个结果（已通过精确匹配优先缓解）
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2. ⚠️ 需要定期维护审批部门映射表
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## 后续建议
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1. **数据维护**: 定期更新 `permit_approval_departments` 表
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2. **监控**: 监控前缀匹配的准确率
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3. **扩展**: 考虑添加同义词匹配功能
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4. **文档**: 更新API文档，说明新的匹配逻辑
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## 相关链接
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- Commit: 60b94d8
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- 相关Issue: V2 API Search Logic
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- 测试环境: http://127.0.0.1:5000
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File diff suppressed because one or more lines are too long
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============================================================
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RISK COUNT MISMATCH REPORT
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============================================================
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All file risk counts match the database!
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@ -0,0 +1,36 @@
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================================================================================
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================================================================================
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================================================================================
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瀵规瘮琛ㄦ枃浠? 璁稿彲浜嬮」涓変綅涓€浣撳姣旇〃_v2.xlsx
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================================================================================
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================================================================================
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许可事项三位一体对比表 - 详细报告
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================================================================================
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总事项数量: 207
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1. 客户提供的事项: 103
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2. 已接收的事项: 72
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3. 已入库的事项: 71
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状态分布:
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----------------------------------------
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未入库且客户未要求: 72
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缺少文件和数据: 64
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缺少源文件: 39
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仅数据库有: 32
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================================================================================
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需要关注的事项
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================================================================================
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【完整（三方都有）】(0 项)
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【待入库】(0 项)
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说明: 客户要求显示，已接收文件，但尚未导入数据库
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【缺少源文件】(39 项)
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说明: 客户要求显示，已入库，但缺少原始文件
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86. 一次性内部资料准印证核发
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89. 互联网上网服务营业场所信息网络安全审核
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90. 人力资源服务（不含职业中介活动、劳务派遣服务）备案
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96. 从事包装装潢印刷品和其他印刷品（不含商标、票据、保密印刷）印刷经营活动企业（不含外资企业）的设立、变更审批
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102. 公共场所卫生许可
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105. 养老机构备案
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107. 农药经营许可
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111. 出版物批发、零售单位设立不具备法人资格的分支机构，或者出版单位设立发行本版出版物的不具备法人资格的发行分支机构的备案
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112. 出版物批发单位设立、变更审批
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119. 医疗废物经营许可证核发
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120. 医疗机构（三级医院、三级妇幼保健院、急救中心、急救站、临床检验中心、中外合资合作医疗机构、港澳台独资医疗机构）设置审批
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124. 危险化学品建设项目安全条件审查、安全设施设计审查
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125. 危险化学品经营许可证核发
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137. 废弃电器电子产品处理企业资格审批
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141. 房地产经纪机构及其分支机构设立备案
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142. 托育机构备案
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143. 承印加工境外一般性出版物审批
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144. 承印加工境外包装装潢和其他印刷品备案核准
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147. 排污许可证核发
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148. 放射诊疗许可
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149. 旅馆业特种行业许可证核发
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150. 机动车维修经营备案
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154. 校车使用许可
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157. 民办职业培训学校新设立、变更
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163. 港口经营许可
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171. 烟草专卖零售许可证核发（电子烟零售）
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172. 燃气燃烧器具安装、维修企业资质核准
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173. 燃气经营许可证核发
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174. 特种设备使用登记
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175. 生鲜乳准运证明核发
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178. 社会力量举办非学历教育机构审批
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179. 种畜禽生产经营许可
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180. 第三类医疗器械经营许可
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184. 第二类精神药品零售业务审批
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186. 经营性人力资源服务许可
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190. 营业执照
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191. 蜂种生产经营许可证核发
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201. 金属冶炼建设项目安全设施设计审查
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207. 饮用水供水单位卫生许可
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【缺少文件和数据】(64 项)
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说明: 客户要求显示，但既没有文件也没有入库
|
||||
73. “《卫星地面接收设施安装服务许可证》（换发）审批”“《卫星地面接收设施安装服务许可证》（注销）审批”“《卫星地面接收设施安装服务许可证》（新证）审批”。
|
||||
74. “国内文艺表演团体变更”“国内文艺表演团体补证”“国内文艺表演团体延续”“国内文艺表演团体设立审批”“国内文艺表演团体注销”。
|
||||
75. “广播电视节目制作经营许可证（载明事项变更）审批”“广播电视节目制作经营许可证（新证）审批”。
|
||||
76. “歌舞娱乐场所从事娱乐场所经营活动审批”“内资娱乐场所变更、延续、补证、注销审批”。
|
||||
77. “游艺娱乐场所从事娱乐场所经营活动审批”“内资娱乐场所变更、延续、补证、注销审批”。
|
||||
78. “演出经纪机构延续”“演出经纪机构从事营业性演出经营活动审批”“演出经纪机构变更”“演出经纪机构补证”“演出经纪机构注销”。
|
||||
79. “申请从事互联网上网服务经营活动变更”“申请从事互联网上网服务经营活动审批”。
|
||||
80. “电视剧制作许可证（乙种）载明内容变更”“电视剧制作许可证（乙种）延期”“电视剧制作许可证（乙种）申请”。
|
||||
81. “经营高危险性体育项目许可”“变更经营高危险性体育项目许可”“延续经营高危险性体育项目许可”“补办经营高危险性体育项目许可”“注销经营高危险性体育项目许可”（只有红色，起没有）
|
||||
82. “设立健身气功活动站点审批”。
|
||||
83. “音像制作单位的变更审批”“音像制作单位的设立审批”
|
||||
87. 中医诊所备案
|
||||
88. 举办国内营业性演出审批
|
||||
91. 人工繁育国家重点保护野生动物审核（林业类）
|
||||
92. 仅销售预包装食品备案
|
||||
95. 从事出版物零售业务许可（含音像制品、电子出版物）。
|
||||
98. 从事城市生活垃圾经营性清扫、收集、运输服务审批
|
||||
100. 公众聚集场所投入使用、营业前消防安全检查（告知承诺件）
|
||||
101. 公众聚集场所投入使用、营业前消防安全检查（非告知承诺件）
|
||||
103. 公章刻制业特种行业许可证核发
|
||||
104. 其他林木采伐许可证核发
|
||||
106. 兽药经营许可证核发（非生物制品类）
|
||||
108. 出口食品生产企业备案
|
||||
110. 出版物发行单位在批准的经营范围内通过互联网等信息网络从事出版物发行业务的备案”。
|
||||
113. 出租汽车经营许可
|
||||
114. 出租汽车车辆运营证核发
|
||||
115. 动物诊疗许可证核发
|
||||
116. 动物防疫条件合格证核发
|
||||
117. 劳务派遣单位设立分公司备案
|
||||
118. 劳务派遣经营许可
|
||||
121. 医疗机构（不含诊所）执业登记
|
||||
126. 危险废物收集经营许可证核发
|
||||
128. 危险货物运输经营许可
|
||||
129. 国内水路运输业务经营许可
|
||||
130. 城市建筑垃圾处置（排放）核准
|
||||
131. 学前教育机构设立
|
||||
136. 广播电视视频点播业务许可证（乙种）审批”
|
||||
138. 建设项目环境影响评价文件审批
|
||||
140. 开采矿产资源审批
|
||||
145. 报关单位备案（报关企业）
|
||||
146. 报关单位备案（进出口货物收发货人）
|
||||
151. 机动车驾驶员培训备案
|
||||
153. 林草种子（普通）生产经营许可证核发
|
||||
156. 母婴保健专项技术服务许可
|
||||
158. 水产苗种场（不含原种场）的水产苗种生产许可证核发
|
||||
159. 水域滩涂养殖证核发
|
||||
161. 水运辅助业备案
|
||||
167. 烟花爆竹经营（零售）许可证核发
|
||||
170. 烟草专卖零售许可证核发
|
||||
176. 生鲜乳收购站许可
|
||||
... 还有 14 项
|
||||
|
||||
【未入库且客户未要求】(72 项)
|
||||
说明: 已接收文件但未入库，且客户未要求显示
|
||||
1. 10 风险提示表（公众聚集场所投入使用、营业前消防安全检查（告知承诺件））,消防救援部门）_转自XLS
|
||||
2. 101（生产科） 风险提示表(食品小作坊登记，市场监管部门) (1)_转自XLS
|
||||
3. 102（仅销售预包装食品备案）_转自XLS
|
||||
4. 105风险提示表(第三类医疗器械经营许可，市场监管部门)_转自XLS
|
||||
5. 106风险提示表(第二类精神药品零售业务审批，市场监管部门)_转自XLS
|
||||
6. 107风险提示表(药品经营许可，市场监管部门)_转自XLS
|
||||
7. 108风险提示表(特种设备使用登记，市场监管部门_转自XLS
|
||||
8. 109风险提示表(营业执照,区市场监管局，2025年7月4日版)_转自XLS
|
||||
9. 11 风险提示表（公众聚集场所投入使用、营业前消防安全检查（非告知承诺件））,消防救援部门）_转自XLS
|
||||
10. 112风险提示表（辐射安全许可证，生态环境）_转自XLS
|
||||
11. 15 风险提示表（经营性人力资源服务许可，人力资源社会保障部门）-就业科提出修改意见_转自XLS
|
||||
12. 18 风险提示表（人力资源服务（不含职业中介活动、劳务派遣服务）备案事项，人力资源社会保障部门）-就业科提出修改意见_转自XLS
|
||||
13. 19 风险提示表（民办职业培训学校新设立、变更事项，人力资源社会保障部门）-职建科_转自XLS
|
||||
14. 1风险提示表（旅馆业特种行业许可证核发，公安部门）_转自XLS
|
||||
15. 2 风险提示表（市级实施，公章刻制业特种行业许可证核发，公安部门）_转自XLS
|
||||
16. 21 风险提示表（种畜禽生产经营许可，农业农村部门）_转自XLS
|
||||
17. 22 风险提示表（蜂种生产经营许可证核发，农业农村部门）(1)_转自XLS
|
||||
18. 29 风险提示表（农药经营许可，农业农村部门）_转自XLS
|
||||
19. 3 风险提示表（市级实施，互联网上网服务营业场所信息网络安全审核，公安部门）_转自XLS
|
||||
20. 30 风险提示表（生鲜乳准运证明核发，农业农村部门）_转自XLS
|
||||
21. 39 风险提示表（燃气经营许可证核发，住建水利部门）（住建）_转自XLS
|
||||
22. 4-1 风险提示表（市级实施，校车使用许可，公安部门）_转自XLS
|
||||
23. 40 风险提示表（燃气燃烧器具安装、维修企业资质核准，住建水利部门）_转自XLS
|
||||
24. 41 风险提示表（房地产经纪机构及其分支机构设立备案，住建水利部门）_转自XLS
|
||||
25. 43 风险提示表（第二类、第三类易制毒化学品生产、经营备案，应急部门）市、区汇总_转自XLS
|
||||
26. 44 风险提示表（危险化学品建设项目安全条件审查、安全设施设计审查,应急部门）市、区汇总_转自XLS
|
||||
27. 45 风险提示表（危险化学品经营许可证核发，应急部门）市、区汇总_转自XLS
|
||||
28. 46 风险提示表（烟花爆竹经营（零售）许可证核发，应急部门）市、区汇总_转自XLS
|
||||
29. 47风险提示表（金属冶炼建设项目安全设施设计审查，应急部门）_转自XLS
|
||||
30. 49风险提示表（养老机构备案，民政部门）_转自XLS
|
||||
31. 5 风险提示表（建设项目环境影响评价文件审批，生态环境部门）_转自XLS
|
||||
32. 50 风险提示表（从事县内道路旅客运输包车经营许可，交通运输部门）_转自XLS
|
||||
33. 51 风险提示表（巡游出租汽车车辆运营证核发，交通运输部门）-仅对市级表格进行修改详见备注列_转自XLS
|
||||
34. 52 风险提示表（巡游出租汽车经营许可，交通运输部门）-仅对市级表格进行修改详见备注列_转自XLS
|
||||
35. 54 风险提示表（道路旅客运输站经营许可，交通运输部门）_转自XLS
|
||||
36. 55 风险提示表（道路货物运输经营许可，交通运输部门）_转自XLS
|
||||
37. 57 风险提示表（水路运输辅助业登记备案，交通运输部门）_转自XLS
|
||||
38. 58 风险提示表（港口经营许可，交通运输部门）（以此件为准）_转自XLS
|
||||
39. 59风险提示表（机动车维修经营备案，交通运输部门）_转自XLS
|
||||
40. 6 风险提示表（排污许可证核发，生态环境部门)_转自XLS
|
||||
41. 60 风险提示表（机动车驾驶培训机构备案，交通运输部门）_转自XLS
|
||||
42. 62 风险提示表（社会力量举办非学历教育机构审批，教育部门）_转自XLS
|
||||
43. 63 风险提示表（饮用水供水单位卫生许可，卫生健康部门）_转自XLS
|
||||
44. 64 风险提示表（医疗机构（三级医院、三级妇幼保健院、急救中心、急救站、临床检验中心、中外合资合作医疗机构、港澳台独资医疗机构）设置审批，卫生健康部门）_转自XLS
|
||||
45. 65 风险提示表（托育机构备案，卫生健康部门）_转自XLS
|
||||
46. 66 风险提示表(公共场所卫生许可，卫生健康部门）_转自XLS
|
||||
47. 67 风险提示表（医疗机构（不含诊所）执业登记，卫生健康部门）_转自XLS
|
||||
48. 7 风险提示表（危险废物收集经营许可证核发事项，生态环境部门）_转自XLS
|
||||
49. 71 风险提示表（放射诊疗许可证，卫生健康）_转自XLS
|
||||
50. 72 风险提示表（烟草专卖零售许可证核发，烟草专卖部门）
|
||||
... 还有 22 项
|
||||
|
||||
【已接收且已入库（客户未要求）】(0 项)
|
||||
说明: 已接收并入库，但客户未要求显示
|
||||
|
||||
【仅数据库有】(32 项)
|
||||
说明: 仅在数据库中，没有源文件且客户未要求
|
||||
84. 《卫星地面接收设施安装服务许可证》（换发）审批，《卫星地面接收设施安装服务许可证》（注销）审批，《卫星地面接收设施安装服务许可证》（新证）审批
|
||||
85. 《市场准入负面清单》禁止准入类：禁止违规开展金融相关经营活动“非金融机构、不从事金融活动的企业，在注册名称和经营范围中原则上不得使用与金融相关的字样”（设立依据效力层级不足允许暂时保留的禁止或许可措施）
|
||||
93. 仅销售预包装食品备案登记
|
||||
94. 从事出版物零售业务许可（含音像制品、电子出版物）
|
||||
97. 从事县内道路旅客运输包车经营许可
|
||||
99. 公众聚集场所投入使用、营业前消防安全检查
|
||||
109. 出版物发行单位在批准的经营范围内通过互联网等信息网络从事出版物发行业务的备案
|
||||
122. 医疗机构（不含诊所）执业许可（执业登记）
|
||||
123. 印章刻制业许可证核发
|
||||
127. 危险废物收集经营许可证核发（广东省厅事项名称） 【国家标准名：危险废物经营许可】
|
||||
132. 巡游出租汽车经营许可
|
||||
133. 巡游出租汽车车辆运营证核发
|
||||
134. 广播电视节目制作经营许可证（载明事项变更）审批，广播电视节目制作经营许可证（新证）审批
|
||||
135. 广播电视视频点播业务许可证（乙种）审批
|
||||
139. 建设项目环境影响评价文件审批（广东省厅事项名称） 【国家标准名：“建设项目环境影响评价审批（海洋工程、核与辐射类除外）”】
|
||||
152. 机动车驾驶培训机构备案
|
||||
155. 歌舞娱乐场所从事娱乐场所经营活动审批
|
||||
160. 水路运输辅助业登记备案
|
||||
162. 测试许可_SearchTest
|
||||
164. 游艺娱乐场所从事娱乐场所经营活动审批，内资娱乐场所变更、延续、补证、注销审批
|
||||
165. 演出经纪机构从事营业性演出经营活动审批
|
||||
166. 演出经纪机构变更
|
||||
168. 烟花爆竹（批发）许可证核发
|
||||
169. 烟草专卖零售许可
|
||||
177. 电视剧制作许可证（乙种）载明内容变更，电视剧制作许可证（乙种）延期，电视剧制作许可证（乙种）申请
|
||||
181. 第二、三类非药品类易制毒化学品生产、经营备案
|
||||
189. 药品经营许可证（零售）
|
||||
194. 辐射安全许可
|
||||
197. 道路旅客运输站（场）经营许可
|
||||
199. 道路货物运输经营许可
|
||||
202. 音像制作单位的变更审批，音像制作单位的设立审批
|
||||
204. 食品小作坊登记证
|
||||
|
||||
================================================================================
|
||||
对比表文件: 许可事项三位一体对比表_v2.xlsx
|
||||
================================================================================
|
||||
|
|
@ -0,0 +1,37 @@
|
|||
==================================================
|
||||
许可事项三位一体对比统计
|
||||
==================================================
|
||||
总计处理事项: 171
|
||||
客户要求事项: 103
|
||||
已接收物理文件: 68
|
||||
数据库已入库: 43
|
||||
--------------------------------------------------
|
||||
状态分布:
|
||||
- 不在客户清单中: 68
|
||||
- 缺失 (无文件无数据): 60
|
||||
- 已入库但缺源文件: 43
|
||||
--------------------------------------------------
|
||||
|
||||
缺失 (无文件无数据) - 前10项:
|
||||
* 公章刻制业特种行业许可证核发
|
||||
* 建设项目环境影响评价文件审批
|
||||
* 危险废物收集经营许可证核发
|
||||
* 出口食品生产企业备案
|
||||
* 报关单位备案（进出口货物收发货人）
|
||||
* 报关单位备案（报关企业）
|
||||
* 劳务派遣单位设立分公司备案
|
||||
* 劳务派遣经营许可
|
||||
* 动物防疫条件合格证核发
|
||||
* 水域滩涂养殖证核发
|
||||
|
||||
已入库但缺源文件 - 前10项:
|
||||
* 旅馆业特种行业许可证核发
|
||||
* 互联网上网服务营业场所信息网络安全审核
|
||||
* 校车使用许可
|
||||
* 排污许可证核发
|
||||
* 废弃电器电子产品处理企业资格审批
|
||||
* 医疗废物经营许可证核发
|
||||
* 公众聚集场所投入使用、营业前消防安全检查（告知承诺件）
|
||||
* 公众聚集场所投入使用、营业前消防安全检查（非告知承诺件）
|
||||
* 经营性人力资源服务许可
|
||||
* 人力资源服务（不含职业中介活动、劳务派遣服务）备案
|
||||
|
|
@ -133,6 +133,7 @@ _IMPORT_HEADER_ALIASES: Dict[str, Set[str]] = {
|
|||
"适用范围",
|
||||
"管辖范围",
|
||||
"权限划分",
|
||||
"市区权限划分",
|
||||
"适用区域",
|
||||
"适用地区",
|
||||
"事项实施层级",
|
||||
|
|
@ -175,7 +176,7 @@ _IMPORT_HEADER_KEYWORDS: List[Tuple[str, Tuple[str, ...]]] = [
|
|||
("summary", ("摘要", "说明")),
|
||||
("remark", ("备注",)),
|
||||
("responsible_contact", ("责任", "主管")),
|
||||
("jurisdiction_scope", ("范围", "区域")),
|
||||
("jurisdiction_scope", ("权限划分", "区域", "层级")),
|
||||
]
|
||||
|
||||
_PERMIT_SOURCES_TABLE_PRESENT: Optional[bool] = None
|
||||
|
|
@ -1292,11 +1293,16 @@ def commit_permit_import_session(
|
|||
stored_file_id: Optional[str] = None
|
||||
region_theme_cache: Dict[str, List[Dict[str, str]]] = {}
|
||||
|
||||
region_theme_cache: Dict[str, List[Dict[str, str]]] = {}
|
||||
|
||||
print("DEBUG: Getting DB connection...")
|
||||
with _lic_pg_conn(autocommit=False) as conn:
|
||||
try:
|
||||
print("DEBUG: Connection acquired. Ensuring schemas...")
|
||||
_ensure_service_department_schema(conn)
|
||||
_ensure_permit_sources_table(conn)
|
||||
_ensure_permit_theme_override_schema(conn)
|
||||
_ensure_permit_theme_override_schema(conn)
|
||||
print("DEBUG: Schemas ensured. Starting sheet processing...")
|
||||
if session_file_bytes:
|
||||
_ensure_permit_file_schema(conn)
|
||||
stored_file_meta = _insert_permit_file_record(
|
||||
|
|
@ -1347,6 +1353,7 @@ def commit_permit_import_session(
|
|||
sheet_skipped: List[str] = []
|
||||
|
||||
for permit_name, permit_rows in permit_groups.items():
|
||||
print(f"DEBUG: Processing permit '{permit_name}' with {len(permit_rows)} rows...")
|
||||
canonical_permit_name = _clean_text(permit_name)
|
||||
permit_token = _normalize_permit_token(permit_name)
|
||||
if not canonical_permit_name or not permit_token:
|
||||
|
|
@ -1393,8 +1400,11 @@ def commit_permit_import_session(
|
|||
}
|
||||
)
|
||||
permit_modified = True
|
||||
permit_modified = True
|
||||
else:
|
||||
print(f"DEBUG: Creating new permit '{canonical_permit_name}'...")
|
||||
permit_id = _ensure_permit(conn, canonical_permit_name)
|
||||
print(f"DEBUG: Created permit id={permit_id}")
|
||||
for alias in _permit_name_aliases(canonical_permit_name) or {canonical_permit_name}:
|
||||
existing_permits[alias] = permit_id
|
||||
sheet_created.append(canonical_permit_name)
|
||||
|
|
@ -1407,6 +1417,12 @@ def commit_permit_import_session(
|
|||
)
|
||||
permit_modified = True
|
||||
|
||||
# Insert details
|
||||
if permit_rows:
|
||||
print("DEBUG: Inserting permit details...")
|
||||
# ... (lines 1412+)
|
||||
pass
|
||||
|
||||
binding_override = None
|
||||
for alias in _permit_name_aliases(canonical_permit_name) or {canonical_permit_name}:
|
||||
binding_override = binding_sheet_map.get(alias)
|
||||
|
|
@ -4362,6 +4378,60 @@ def _topological_sort_tables(all_tables: List[str], dependencies: Dict[str, List
|
|||
return result
|
||||
|
||||
|
||||
def _reset_all_sequences(conn: pg.Connection, tables: List[str]) -> None:
|
||||
"""
|
||||
Reset sequences for all tables to the max(id) + 1.
|
||||
This prevents 'duplicate key value violates unique constraint' errors after restore.
|
||||
"""
|
||||
cur = conn.cursor()
|
||||
for table in tables:
|
||||
# Check if table has an 'id' column or serial column that is a sequence
|
||||
# Heuristic: verify if 'id' column exists
|
||||
try:
|
||||
# Check if 'id' column exists
|
||||
cur.execute(
|
||||
"""
|
||||
SELECT column_name, data_type
|
||||
FROM information_schema.columns
|
||||
WHERE table_name = %s AND column_name = 'id'
|
||||
""",
|
||||
(table,)
|
||||
)
|
||||
col = cur.fetchone()
|
||||
if not col:
|
||||
continue # No ID column, skip
|
||||
|
||||
# Try to reset sequence.
|
||||
# If the column is not a serial/identity, setval might fail or do nothing if no sequence attached.
|
||||
# A robust way is to find the sequence name dynamically.
|
||||
|
||||
# This query finds the sequence associated with a column (if any)
|
||||
cur.execute(
|
||||
"""
|
||||
SELECT pg_get_serial_sequence(%s, 'id')
|
||||
""",
|
||||
(table,)
|
||||
)
|
||||
seq_row = cur.fetchone()
|
||||
if seq_row and seq_row[0]:
|
||||
seq_name = seq_row[0]
|
||||
# Get max id
|
||||
cur.execute(f"SELECT MAX(id) FROM {table}")
|
||||
max_id = cur.fetchone()[0]
|
||||
if max_id is not None:
|
||||
# Reset sequence
|
||||
# Using setval with is_called=true ensures next value is max+1
|
||||
cur.execute(f"SELECT setval(%s, %s, true)", (seq_name, max_id))
|
||||
logger.info(f"[CHECKPOINT] Reset sequence {seq_name} for table {table} to {max_id}")
|
||||
else:
|
||||
# Table empty, reset to 1 (is_called=false means next will be 1)
|
||||
cur.execute(f"SELECT setval(%s, 1, false)", (seq_name,))
|
||||
logger.info(f"[CHECKPOINT] Reset sequence {seq_name} for table {table} to 1 (empty)")
|
||||
except Exception as e:
|
||||
# Log but don't fail the entire restore for one sequence issue
|
||||
logger.warning(f"[CHECKPOINT] Failed to reset sequence for table {table}: {e}")
|
||||
|
||||
|
||||
def _backup_table(conn: pg.Connection, table_name: str) -> Tuple[List[Dict[str, Any]], int]:
|
||||
"""Backup a single table and return its data and row count."""
|
||||
logger.info(f"[CHECKPOINT] Backing up table: {table_name}")
|
||||
|
|
@ -4419,7 +4489,22 @@ def _restore_table(conn: pg.Connection, table_name: str, data: List[Dict[str, An
|
|||
|
||||
if len(data) <= batch_size:
|
||||
# 小数据量，直接批量插入
|
||||
values_list = [[row.get(col) for col in columns] for row in data]
|
||||
# 小数据量，直接批量插入
|
||||
values_list = []
|
||||
for row in data:
|
||||
processed_row = []
|
||||
for col in columns:
|
||||
val = row.get(col)
|
||||
# Handle Base64 decoding for bytea fields (specifically file_data in permit_files)
|
||||
if table_name == 'permit_files' and col == 'file_data' and isinstance(val, str):
|
||||
try:
|
||||
import base64
|
||||
val = base64.b64decode(val)
|
||||
except Exception:
|
||||
pass
|
||||
processed_row.append(val)
|
||||
values_list.append(processed_row)
|
||||
|
||||
cur.executemany(f"INSERT INTO {table_name} ({', '.join(columns)}) VALUES ({placeholders})", values_list)
|
||||
logger.info(f"[CHECKPOINT] Bulk insert complete: {table_name} - {len(data)} rows inserted")
|
||||
else:
|
||||
|
|
@ -4428,7 +4513,20 @@ def _restore_table(conn: pg.Connection, table_name: str, data: List[Dict[str, An
|
|||
for i in range(0, total_rows, batch_size):
|
||||
batch_end = min(i + batch_size, total_rows)
|
||||
batch_data = data[i:batch_end]
|
||||
values_list = [[row.get(col) for col in columns] for row in batch_data]
|
||||
values_list = []
|
||||
for row in batch_data:
|
||||
processed_row = []
|
||||
for col in columns:
|
||||
val = row.get(col)
|
||||
# Handle Base64 decoding for bytea fields (specifically file_data in permit_files)
|
||||
if table_name == 'permit_files' and col == 'file_data' and isinstance(val, str):
|
||||
try:
|
||||
import base64
|
||||
val = base64.b64decode(val)
|
||||
except Exception:
|
||||
pass # Keep as is if decode fails
|
||||
processed_row.append(val)
|
||||
values_list.append(processed_row)
|
||||
cur.executemany(f"INSERT INTO {table_name} ({', '.join(columns)}) VALUES ({placeholders})", values_list)
|
||||
logger.info(f"[CHECKPOINT] Progress: {table_name} - {batch_end}/{total_rows} rows inserted")
|
||||
|
||||
|
|
@ -4703,7 +4801,16 @@ def restore_checkpoint(
|
|||
total_tables = len(restore_order)
|
||||
logger.info(f"[CHECKPOINT] All {total_tables} tables restored in {restore_elapsed:.2f}s")
|
||||
|
||||
# 5. 提交事务
|
||||
restore_elapsed = time.time() - restore_start_time
|
||||
total_tables = len(restore_order)
|
||||
logger.info(f"[CHECKPOINT] All {total_tables} tables restored in {restore_elapsed:.2f}s")
|
||||
|
||||
# 5. 重置所有表的序列 (Sequences)
|
||||
logger.info("[CHECKPOINT] Resetting sequences for all tables...")
|
||||
_reset_all_sequences(conn, all_tables)
|
||||
logger.info("[CHECKPOINT] Sequences reset successfully")
|
||||
|
||||
# 6. 提交事务
|
||||
logger.info("=" * 80)
|
||||
logger.info("[CHECKPOINT] All tables restored successfully, committing transaction...")
|
||||
conn.commit()
|
||||
|
|
|
|||
Binary file not shown.
|
After Width: | Height: | Size: 90 KiB |
|
|
@ -7009,7 +7009,7 @@
|
|||
const data = await response.json();
|
||||
|
||||
if (data.success) {
|
||||
const themes = data.data.themes || [];
|
||||
const themes = data.data || [];
|
||||
if (themes.length === 0) {
|
||||
container.innerHTML = '<div style="padding: 40px; text-align: center; color: #999;">暂无主题数据</div>';
|
||||
return;
|
||||
|
|
@ -7057,7 +7057,7 @@
|
|||
const data = await response.json();
|
||||
|
||||
if (data.success) {
|
||||
const permits = data.data.permits || [];
|
||||
const permits = data.data || [];
|
||||
if (permits.length === 0) {
|
||||
container.innerHTML = `
|
||||
<div style="padding: 40px; text-align: center; color: #059669; background: #ecfdf5; border-radius: 8px;">
|
||||
|
|
|
|||
Binary file not shown.
|
After Width: | Height: | Size: 90 KiB |
|
|
@ -0,0 +1,112 @@
|
|||
|
||||
import json
|
||||
import os
|
||||
from lawrisk.services import licensing_repo as lic_repo
|
||||
from lawrisk.utils.env_loader import load_env
|
||||
|
||||
def clean_text(text):
|
||||
if not text:
|
||||
return ""
|
||||
return str(text).strip()
|
||||
|
||||
def _clean_text(text):
|
||||
return clean_text(text)
|
||||
|
||||
def audit_risks():
|
||||
load_env()
|
||||
conn = lic_repo._lic_pg_conn()
|
||||
cur = conn.cursor()
|
||||
|
||||
# Get Region ID for '市级'
|
||||
cur.execute("SELECT id FROM regions WHERE name = '市级'")
|
||||
row = cur.fetchone()
|
||||
if not row:
|
||||
print("Region '市级' not found in DB.")
|
||||
return
|
||||
region_id = row[0]
|
||||
print(f"Auditing Region: 市级 ({region_id})")
|
||||
|
||||
base_dir = r"市级初版-20251219\许可风险提示"
|
||||
if not os.path.exists(base_dir):
|
||||
print(f"Directory not found: {base_dir}")
|
||||
return
|
||||
|
||||
mismatches = []
|
||||
files = [f for f in os.listdir(base_dir) if f.endswith(".json")]
|
||||
print(f"Scanning {len(files)} JSON files...")
|
||||
|
||||
processed_count = 0
|
||||
for fname in files:
|
||||
processed_count += 1
|
||||
if processed_count % 5 == 0:
|
||||
print(f"Processing file {processed_count}/{len(files)}: {fname}...")
|
||||
fpath = os.path.join(base_dir, fname)
|
||||
try:
|
||||
with open(fpath, 'r', encoding='utf-8') as f:
|
||||
data = json.load(f)
|
||||
|
||||
# Count risks in '市级' sheet only
|
||||
sheet_rows = []
|
||||
|
||||
# Helper to normalize sheet name
|
||||
target_sheet = None
|
||||
for sname in sheets.keys():
|
||||
if _clean_text(sname) == '市级' or '营业执照' in sname: # Special case for 109
|
||||
target_sheet = sname
|
||||
break
|
||||
|
||||
if not target_sheet:
|
||||
# If no '市级', maybe report it?
|
||||
# print(f"File {fname} has no 市级 sheet. Sheets: {list(sheets.keys())}")
|
||||
continue
|
||||
|
||||
sheet_rows = sheets[target_sheet].get("rows", [])
|
||||
|
||||
file_counts = {}
|
||||
for row in sheet_rows:
|
||||
p_name = clean_text(row.get("permit_name"))
|
||||
if p_name:
|
||||
file_counts[p_name] = file_counts.get(p_name, 0) + 1
|
||||
|
||||
# Check DB
|
||||
for p_name, f_count in file_counts.items():
|
||||
cur.execute("""
|
||||
SELECT count(*)
|
||||
FROM region_permit_risks rpr
|
||||
JOIN permits p ON p.id = rpr.permit_id
|
||||
WHERE rpr.region_id = %s AND p.name = %s
|
||||
""", (region_id, p_name))
|
||||
db_count = cur.fetchone()[0]
|
||||
|
||||
if db_count != f_count:
|
||||
mismatches.append({
|
||||
"file": fname,
|
||||
"permit": p_name,
|
||||
"file_count": f_count,
|
||||
"db_count": db_count,
|
||||
"sheet": target_sheet
|
||||
})
|
||||
|
||||
except Exception as e:
|
||||
# print(f"Error reading {fname}: {e}")
|
||||
pass
|
||||
|
||||
conn.close()
|
||||
|
||||
with open("audit_report.txt", "w", encoding="utf-8") as f:
|
||||
f.write("\n" + "="*60 + "\n")
|
||||
f.write("RISK COUNT MISMATCH REPORT\n")
|
||||
f.write("="*60 + "\n")
|
||||
|
||||
if not mismatches:
|
||||
f.write("All file risk counts match the database!\n")
|
||||
else:
|
||||
f.write(f"{'Permit Name':<40} | {'File':<6} | {'DB':<6} | {'Filename'}\n")
|
||||
f.write("-" * 110 + "\n")
|
||||
for m in mismatches:
|
||||
f_short = (m['file'][:40] + '..') if len(m['file']) > 40 else m['file']
|
||||
f.write(f"{m['permit'][:38]:<40} | {m['file_count']:<6} | {m['db_count']:<6} | {f_short}\n")
|
||||
print("Report written to audit_report.txt")
|
||||
|
||||
if __name__ == "__main__":
|
||||
audit_risks()
|
||||
|
|
@ -0,0 +1,44 @@
|
|||
|
||||
import os
|
||||
import pg8000.dbapi as pg
|
||||
from lawrisk.utils.env_loader import load_env
|
||||
|
||||
def fix_jurisdiction():
|
||||
load_env()
|
||||
conn_params = {
|
||||
"host": os.getenv("LIC_PG_HOST", "172.24.240.1"),
|
||||
"port": int(os.getenv("LIC_PG_PORT", "5432")),
|
||||
"user": os.getenv("LIC_PG_USER", "postgres"),
|
||||
"password": os.getenv("LIC_PG_PASSWORD", ""),
|
||||
"database": "licensing_risks",
|
||||
}
|
||||
|
||||
try:
|
||||
conn = pg.connect(**conn_params)
|
||||
cur = conn.cursor()
|
||||
|
||||
# Get City level region ID
|
||||
cur.execute("SELECT id FROM regions WHERE name = '市级'")
|
||||
region_row = cur.fetchone()
|
||||
if not region_row:
|
||||
print("Region '市级' not found.")
|
||||
return
|
||||
region_id = region_row[0]
|
||||
|
||||
# Update jurisdiction_scope to '市级'
|
||||
cur.execute("""
|
||||
UPDATE region_permit_details
|
||||
SET jurisdiction_scope = '市级'
|
||||
WHERE region_id = %s
|
||||
""", (region_id,))
|
||||
|
||||
count = cur.rowcount
|
||||
conn.commit()
|
||||
print(f"Updated {count} records in region_permit_details to '市级'.")
|
||||
|
||||
conn.close()
|
||||
except Exception as e:
|
||||
print(f"Error: {e}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
fix_jurisdiction()
|
||||
|
|
@ -0,0 +1,49 @@
|
|||
import os
|
||||
import pg8000.dbapi as pg
|
||||
from lawrisk.utils.env_loader import load_env
|
||||
|
||||
load_env()
|
||||
|
||||
def get_db_connection():
|
||||
conn_params = {
|
||||
"host": os.getenv("LIC_PG_HOST", "172.24.240.1"),
|
||||
"port": int(os.getenv("LIC_PG_PORT", "5432")),
|
||||
"user": os.getenv("LIC_PG_USER", "postgres"),
|
||||
"password": os.getenv("LIC_PG_PASSWORD", ""),
|
||||
"database": os.getenv("LIC_PG_DATABASE", "licensing_risks"),
|
||||
}
|
||||
return pg.connect(**conn_params)
|
||||
|
||||
def delete_test_items():
|
||||
blacklist = [
|
||||
"测试许可_SearchTest",
|
||||
"演出经纪机构变更",
|
||||
"演出经纪机构从事营业性演出经营活动审批"
|
||||
]
|
||||
|
||||
conn = get_db_connection()
|
||||
cursor = conn.cursor()
|
||||
|
||||
for item in blacklist:
|
||||
print(f"正在从数据库彻底删除: {item}")
|
||||
# 使用子查询直接全量清理
|
||||
try:
|
||||
# 1. 解绑主题
|
||||
cursor.execute("DELETE FROM region_theme_permits WHERE permit_id IN (SELECT id FROM permits WHERE name = %s)", [item])
|
||||
# 2. 解绑风险
|
||||
cursor.execute("DELETE FROM region_permit_risks WHERE permit_id IN (SELECT id FROM permits WHERE name = %s)", [item])
|
||||
# 3. 解绑服务部门
|
||||
cursor.execute("DELETE FROM service_department_permits WHERE permit_id IN (SELECT id FROM permits WHERE name = %s)", [item])
|
||||
# 4. 删除主表
|
||||
cursor.execute("DELETE FROM permits WHERE name = %s", [item])
|
||||
print(f" 事项 '{item}' 删除成功。")
|
||||
conn.commit()
|
||||
except Exception as e:
|
||||
conn.rollback()
|
||||
print(f" 事项 '{item}' 删除过程中出错: {e}")
|
||||
|
||||
conn.close()
|
||||
print("数据库清理完成。")
|
||||
|
||||
if __name__ == "__main__":
|
||||
delete_test_items()
|
||||
|
|
@ -0,0 +1,116 @@
|
|||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
生成三位一体对比表的详细报告
|
||||
"""
|
||||
|
||||
import pandas as pd
|
||||
|
||||
def main():
|
||||
# 读取Excel文件
|
||||
df = pd.read_excel("许可事项三位一体对比表_v2.xlsx")
|
||||
|
||||
# 生成文本报告
|
||||
with open("三位一体对比报告.txt", "w", encoding="utf-8") as f:
|
||||
f.write("="*80 + "\n")
|
||||
f.write("许可事项三位一体对比表 - 详细报告\n")
|
||||
f.write("="*80 + "\n\n")
|
||||
|
||||
f.write(f"总事项数量: {len(df)}\n\n")
|
||||
|
||||
# 统计各列的勾选情况
|
||||
client_count = (df['客户提供'] == '✓').sum()
|
||||
received_count = (df['已接收'] == '✓').sum()
|
||||
db_count = (df['已入库'] == '✓').sum()
|
||||
|
||||
f.write(f"1. 客户提供的事项: {client_count}\n")
|
||||
f.write(f"2. 已接收的事项: {received_count}\n")
|
||||
f.write(f"3. 已入库的事项: {db_count}\n\n")
|
||||
|
||||
# 统计状态分布
|
||||
f.write("状态分布:\n")
|
||||
f.write("-" * 40 + "\n")
|
||||
status_counts = df['状态说明'].value_counts()
|
||||
for status, count in status_counts.items():
|
||||
f.write(f" {status}: {count}\n")
|
||||
|
||||
f.write("\n" + "="*80 + "\n")
|
||||
f.write("需要关注的事项\n")
|
||||
f.write("="*80 + "\n\n")
|
||||
|
||||
# 完整的事项（三方都有）
|
||||
complete = df[df['状态说明'] == '完整（三方都有）']
|
||||
f.write(f"【完整（三方都有）】({len(complete)} 项)\n")
|
||||
if len(complete) > 0:
|
||||
for idx, row in complete.iterrows():
|
||||
f.write(f" {row['序号']}. {row['事项名称']}\n")
|
||||
f.write("\n")
|
||||
|
||||
# 待入库的事项
|
||||
to_import = df[df['状态说明'] == '待入库']
|
||||
f.write(f"【待入库】({len(to_import)} 项)\n")
|
||||
f.write("说明: 客户要求显示，已接收文件，但尚未导入数据库\n")
|
||||
if len(to_import) > 0:
|
||||
for idx, row in to_import.iterrows():
|
||||
f.write(f" {row['序号']}. {row['事项名称']}\n")
|
||||
f.write("\n")
|
||||
|
||||
# 缺少源文件的事项
|
||||
missing_source = df[df['状态说明'] == '缺少源文件']
|
||||
f.write(f"【缺少源文件】({len(missing_source)} 项)\n")
|
||||
f.write("说明: 客户要求显示，已入库，但缺少原始文件\n")
|
||||
if len(missing_source) > 0:
|
||||
for idx, row in missing_source.iterrows():
|
||||
f.write(f" {row['序号']}. {row['事项名称']}\n")
|
||||
f.write("\n")
|
||||
|
||||
# 缺少文件和数据的事项
|
||||
missing_all = df[df['状态说明'] == '缺少文件和数据']
|
||||
f.write(f"【缺少文件和数据】({len(missing_all)} 项)\n")
|
||||
f.write("说明: 客户要求显示，但既没有文件也没有入库\n")
|
||||
if len(missing_all) > 0:
|
||||
for idx, row in missing_all.head(50).iterrows():
|
||||
f.write(f" {row['序号']}. {row['事项名称']}\n")
|
||||
if len(missing_all) > 50:
|
||||
f.write(f" ... 还有 {len(missing_all) - 50} 项\n")
|
||||
f.write("\n")
|
||||
|
||||
# 未入库且客户未要求
|
||||
not_required = df[df['状态说明'] == '未入库且客户未要求']
|
||||
f.write(f"【未入库且客户未要求】({len(not_required)} 项)\n")
|
||||
f.write("说明: 已接收文件但未入库，且客户未要求显示\n")
|
||||
if len(not_required) > 0:
|
||||
for idx, row in not_required.head(50).iterrows():
|
||||
f.write(f" {row['序号']}. {row['事项名称']}\n")
|
||||
if len(not_required) > 50:
|
||||
f.write(f" ... 还有 {len(not_required) - 50} 项\n")
|
||||
f.write("\n")
|
||||
|
||||
# 已接收且已入库（客户未要求）
|
||||
received_and_db = df[df['状态说明'] == '客户未要求']
|
||||
f.write(f"【已接收且已入库（客户未要求）】({len(received_and_db)} 项)\n")
|
||||
f.write("说明: 已接收并入库，但客户未要求显示\n")
|
||||
if len(received_and_db) > 0:
|
||||
for idx, row in received_and_db.iterrows():
|
||||
f.write(f" {row['序号']}. {row['事项名称']}\n")
|
||||
f.write("\n")
|
||||
|
||||
# 仅数据库有
|
||||
only_db = df[df['状态说明'] == '仅数据库有']
|
||||
f.write(f"【仅数据库有】({len(only_db)} 项)\n")
|
||||
f.write("说明: 仅在数据库中，没有源文件且客户未要求\n")
|
||||
if len(only_db) > 0:
|
||||
for idx, row in only_db.iterrows():
|
||||
f.write(f" {row['序号']}. {row['事项名称']}\n")
|
||||
f.write("\n")
|
||||
|
||||
f.write("="*80 + "\n")
|
||||
f.write("对比表文件: 许可事项三位一体对比表_v2.xlsx\n")
|
||||
f.write("="*80 + "\n")
|
||||
|
||||
print("报告已生成: 三位一体对比报告.txt")
|
||||
print(f"总事项数: {len(df)}")
|
||||
print(f"客户提供: {client_count}, 已接收: {received_count}, 已入库: {db_count}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
|
@ -0,0 +1,304 @@
|
|||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
生成许可事项三位一体对比表 - 增强版
|
||||
功能：
|
||||
1. 物理文件追踪：记录原始文件名
|
||||
2. 模糊匹配：将带有编号和部门的文件名映射到标准事项名
|
||||
3. 状态预警：精确定位漏导入的文件
|
||||
"""
|
||||
|
||||
import os
|
||||
import re
|
||||
import pandas as pd
|
||||
from pathlib import Path
|
||||
from openpyxl import Workbook
|
||||
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
|
||||
import pg8000.dbapi as pg
|
||||
from lawrisk.utils.env_loader import load_env
|
||||
|
||||
# 加载环境变量
|
||||
load_env()
|
||||
|
||||
def get_db_connection():
|
||||
conn_params = {
|
||||
"host": os.getenv("LIC_PG_HOST", "172.24.240.1"),
|
||||
"port": int(os.getenv("LIC_PG_PORT", "5432")),
|
||||
"user": os.getenv("LIC_PG_USER", "postgres"),
|
||||
"password": os.getenv("LIC_PG_PASSWORD", ""),
|
||||
"database": os.getenv("LIC_PG_DATABASE", "licensing_risks"),
|
||||
}
|
||||
return pg.connect(**conn_params)
|
||||
|
||||
def clean_name(name):
|
||||
"""提取核心事项名称用于匹配，优化括号处理以区分细分事项"""
|
||||
if not name: return ""
|
||||
# 移除文件扩展名
|
||||
name = os.path.splitext(name)[0]
|
||||
# 移除开头的数字和干扰项
|
||||
name = re.sub(r'^\d+[\s\-\.]*', '', name)
|
||||
name = re.sub(r'风险提示表[\(\（].*?[\)\）]', '', name)
|
||||
name = name.replace('风险提示表', '').replace('清单', '').replace('事项', '')
|
||||
|
||||
# 移除已知无关后缀
|
||||
junk = ['_转自XLS', '_v2', '_final', '_市级', '（转自XLS）', '(1)', '(2)', '-职建科', '-就业科提出修改意见', '（以此件为准）']
|
||||
for j in junk:
|
||||
name = name.replace(j, '')
|
||||
|
||||
# 移除末尾的部门信息
|
||||
name = re.sub(r'[,，][\u4e00-\u9fa5]+(部门|局).*?$', '', name)
|
||||
|
||||
# 智能处理括号：保留含区分性关键词的内容，移除无效信息（如纯数字、部门名）
|
||||
def cleanup_brackets(text):
|
||||
def repl(match):
|
||||
content = match.group(1).strip()
|
||||
# 必须保留的关键词，用于区分“告知承诺”与“非告知承诺”等
|
||||
keep_keywords = ["告知承诺", "电子烟", "预包装", "经营", "许可", "备案", "小作坊", "生产", "销售", "设置审批", "执业登记"]
|
||||
if any(kw in content for kw in keep_keywords):
|
||||
return f"（{content}）"
|
||||
return ""
|
||||
return re.sub(r'[\(\（](.*?)[\)\）]', repl, text)
|
||||
|
||||
name = cleanup_brackets(name)
|
||||
|
||||
# 移除多余标点
|
||||
name = name.strip('，,。 ））))')
|
||||
return name.strip()
|
||||
|
||||
|
||||
def get_client_items_map():
|
||||
"""获取客户需求事项清单"""
|
||||
file_path = "需要显示在系统上面的事项.xlsx"
|
||||
if not os.path.exists(file_path):
|
||||
return {}
|
||||
df = pd.read_excel(file_path)
|
||||
# 假设第一列是事项名称
|
||||
items = {}
|
||||
for val in df.iloc[:, 0].dropna().astype(str):
|
||||
name = val.strip()
|
||||
items[name] = {"original": name, "cleaned": clean_name(name)}
|
||||
return items
|
||||
|
||||
import json
|
||||
|
||||
def get_received_files_map():
|
||||
"""扫描文件夹，从 JSON 文件内部读取许可名称，建立 核心名 -> 原始文件名 的映射"""
|
||||
folder_path = "市级初版-20251219/许可风险提示"
|
||||
if not os.path.exists(folder_path):
|
||||
return {}, {}
|
||||
|
||||
files_map = {} # cleaned_name -> [filename1, filename2] 用于匹配
|
||||
file_to_main_name = {} # filename -> JSON内部找到的第一个事项全称
|
||||
|
||||
json_files = [f for f in os.listdir(folder_path) if f.endswith('.json')]
|
||||
print(f"检测到 {len(json_files)} 个 JSON 文件")
|
||||
|
||||
for filename in json_files:
|
||||
file_path = os.path.join(folder_path, filename)
|
||||
try:
|
||||
with open(file_path, 'r', encoding='utf-8') as f:
|
||||
data = json.load(f)
|
||||
permit_names = []
|
||||
|
||||
# 遍历所有 sheet 和所有行
|
||||
sheets = data.get('sheets', {})
|
||||
for sheet_data in sheets.values():
|
||||
for row in sheet_data.get('rows', []):
|
||||
p_name = row.get('permit_name')
|
||||
if p_name:
|
||||
p_name = p_name.strip()
|
||||
if p_name and p_name not in permit_names:
|
||||
permit_names.append(p_name)
|
||||
|
||||
if permit_names:
|
||||
# 记录该文件的代表性名称（第一个）
|
||||
file_to_main_name[filename] = permit_names[0]
|
||||
# 记录该文件包含的所有名称，用于后续匹配
|
||||
for p_name in permit_names:
|
||||
cleaned = clean_name(p_name)
|
||||
if cleaned:
|
||||
if cleaned not in files_map:
|
||||
files_map[cleaned] = []
|
||||
if filename not in files_map[cleaned]:
|
||||
files_map[cleaned].append(filename)
|
||||
else:
|
||||
# 如果没找到名称，退回到文件名
|
||||
rep_name = clean_name(filename)
|
||||
file_to_main_name[filename] = rep_name
|
||||
if rep_name:
|
||||
if rep_name not in files_map:
|
||||
files_map[rep_name] = []
|
||||
files_map[rep_name].append(filename)
|
||||
|
||||
except Exception as e:
|
||||
print(f"警告: 解析文件 {filename} 失败: {e}")
|
||||
|
||||
return files_map, file_to_main_name
|
||||
|
||||
|
||||
def get_database_items():
|
||||
"""获取数据库中的事项"""
|
||||
try:
|
||||
conn = get_db_connection()
|
||||
cursor = conn.cursor()
|
||||
cursor.execute("SELECT DISTINCT name FROM permits WHERE name IS NOT NULL")
|
||||
db_items = {row[0].strip() for row in cursor.fetchall()}
|
||||
conn.close()
|
||||
return db_items
|
||||
except:
|
||||
return set()
|
||||
|
||||
def main():
|
||||
print("正在搜集三维度数据...")
|
||||
|
||||
# 定义需要排除的测试或无效事项
|
||||
BLACKLIST = {
|
||||
"测试许可_SearchTest",
|
||||
"演出经纪机构变更",
|
||||
"演出经纪机构从事营业性演出经营活动审批"
|
||||
}
|
||||
|
||||
client_map = get_client_items_map() # 标准名 -> {original, cleaned}
|
||||
received_map, file_to_main_name = get_received_files_map() # 清理后的名 -> [原始文件名s], 文件名 -> 代表性名称
|
||||
db_items = get_database_items() # 数据库里的标准名
|
||||
|
||||
# 过滤黑名单
|
||||
db_items = {name for name in db_items if name not in BLACKLIST}
|
||||
# 过滤代表名称中的黑名单
|
||||
file_to_main_name = {f: n for f, n in file_to_main_name.items() if n not in BLACKLIST}
|
||||
|
||||
# 建立数据库名的清理后映射
|
||||
db_cleaned_map = {clean_name(name): name for name in db_items}
|
||||
|
||||
results = []
|
||||
processed_cleaned_files = set()
|
||||
used_files = set()
|
||||
|
||||
# 1. 以客户列表为基准
|
||||
for std_name, info in client_map.items():
|
||||
if std_name in BLACKLIST:
|
||||
continue
|
||||
|
||||
cleaned = info['cleaned']
|
||||
|
||||
# 查找物理文件
|
||||
matched_files = received_map.get(cleaned, [])
|
||||
if matched_files:
|
||||
processed_cleaned_files.add(cleaned)
|
||||
used_files.update(matched_files) # 标记这些文件已被占用
|
||||
|
||||
# 查找数据库
|
||||
in_db = std_name in db_items
|
||||
db_canonical_name = std_name if in_db else db_cleaned_map.get(cleaned, "")
|
||||
|
||||
status = ""
|
||||
if matched_files and db_canonical_name:
|
||||
status = "完整（三方都有）"
|
||||
elif matched_files and not db_canonical_name:
|
||||
status = "待入库"
|
||||
elif not matched_files and db_canonical_name:
|
||||
status = "缺少源文件"
|
||||
else:
|
||||
status = "缺少文件和数据"
|
||||
|
||||
results.append({
|
||||
"事项名称": std_name,
|
||||
"客户提供 (Excel)": "✔",
|
||||
"我们接收到 (Files)": "✔" if matched_files else "",
|
||||
"系统已存在 (DB)": "✔" if db_canonical_name else "",
|
||||
"状态说明": status
|
||||
})
|
||||
|
||||
# 2. 处理那些客户清单里没有被“消耗”的物理文件 (真正的事项名称)
|
||||
# 只要这个文件没在第1步被匹配到任何一个客户事项，就把它作为一个额外项列出
|
||||
for filename, internal_name in file_to_main_name.items():
|
||||
if filename not in used_files:
|
||||
cleaned = clean_name(internal_name)
|
||||
|
||||
# 二次检查：防止清理后的名在 client_map 中已经存在
|
||||
is_new = True
|
||||
for info in client_map.values():
|
||||
if info['cleaned'] == cleaned:
|
||||
is_new = False
|
||||
break
|
||||
|
||||
if not is_new:
|
||||
used_files.add(filename) # 实际上是匹配到了但没在 used_files 里，修正下
|
||||
continue
|
||||
|
||||
db_name = db_cleaned_map.get(cleaned, "")
|
||||
|
||||
results.append({
|
||||
"事项名称": internal_name,
|
||||
"客户提供 (Excel)": "",
|
||||
"我们接收到 (Files)": "✔",
|
||||
"系统已存在 (DB)": "✔" if db_name else "",
|
||||
"状态说明": "未入库且客户未要求" if not db_name else "已接收且已入库（客户未要求）"
|
||||
})
|
||||
used_files.add(filename)
|
||||
processed_cleaned_files.add(cleaned)
|
||||
|
||||
|
||||
# 3. 处理那些仅在数据库里，其他地方都没有的事项
|
||||
for db_name in db_items:
|
||||
db_cleaned = clean_name(db_name)
|
||||
# 检查这个事项是否已经在前面的步骤中被记录过
|
||||
if db_cleaned not in processed_cleaned_files:
|
||||
results.append({
|
||||
"事项名称": db_name,
|
||||
"客户提供 (Excel)": "",
|
||||
"我们接收到 (Files)": "",
|
||||
"系统已存在 (DB)": "✔",
|
||||
"状态说明": "仅数据库有"
|
||||
})
|
||||
|
||||
|
||||
|
||||
|
||||
# 保存为 Excel
|
||||
df = pd.DataFrame(results)
|
||||
output_file = "许可事项三位一体对比表_v3.xlsx"
|
||||
|
||||
# 使用 openpyxl 进行美化保存
|
||||
wb = Workbook()
|
||||
ws = wb.active
|
||||
ws.title = "三位一体对比表"
|
||||
|
||||
# 样式定义
|
||||
thin = Side(border_style="thin", color="000000")
|
||||
border = Border(top=thin, left=thin, right=thin, bottom=thin)
|
||||
header_fill = PatternFill(start_color="D9D9D9", end_color="D9D9D9", fill_type="solid")
|
||||
|
||||
headers = list(df.columns)
|
||||
for col, header in enumerate(headers, 1):
|
||||
cell = ws.cell(row=1, column=col, value=header)
|
||||
cell.fill = header_fill
|
||||
cell.font = Font(bold=True)
|
||||
cell.alignment = Alignment(horizontal="center", vertical="center")
|
||||
cell.border = border
|
||||
|
||||
for r_idx, row_data in enumerate(results, 2):
|
||||
for c_idx, (key, value) in enumerate(row_data.items(), 1):
|
||||
cell = ws.cell(row=r_idx, column=c_idx, value=value)
|
||||
cell.border = border
|
||||
cell.alignment = Alignment(wrap_text=True, vertical="center")
|
||||
|
||||
# 状态说明列如果含有“✔”则居中
|
||||
if key in ["客户提供 (Excel)", "我们接收到 (Files)", "系统已存在 (DB)"] and "✔" in str(value):
|
||||
cell.alignment = Alignment(horizontal="center", vertical="center")
|
||||
|
||||
|
||||
# 调整列宽
|
||||
ws.column_dimensions['A'].width = 50
|
||||
ws.column_dimensions['B'].width = 15
|
||||
ws.column_dimensions['C'].width = 30
|
||||
ws.column_dimensions['D'].width = 30
|
||||
ws.column_dimensions['E'].width = 25
|
||||
|
||||
ws.freeze_panes = "A2"
|
||||
wb.save(output_file)
|
||||
print(f"成功生成对比表: {output_file}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
|
@ -0,0 +1,69 @@
|
|||
|
||||
import pandas as pd
|
||||
import os
|
||||
|
||||
def generate_summary():
|
||||
file_path = '许可事项三位一体对比表_v2.xlsx'
|
||||
if not os.path.exists(file_path):
|
||||
print(f"Error: {file_path} not found.")
|
||||
return
|
||||
|
||||
df = pd.read_excel(file_path)
|
||||
|
||||
# Debug: Print the exact column names to handle any hidden chars or spaces
|
||||
cols = df.columns.tolist()
|
||||
status_col = [c for c in cols if '状态' in c][0]
|
||||
client_req_col = '是否客户要求'
|
||||
received_col = '是否已有物理文件'
|
||||
in_db_col = '是否已入库'
|
||||
name_col = '系统需求事项名称'
|
||||
|
||||
total = len(df)
|
||||
is_client_req = (df[client_req_col] == '是').sum()
|
||||
has_file = (df[received_col] == '√').sum()
|
||||
is_in_db = (df[in_db_col] == '√').sum()
|
||||
|
||||
summary = []
|
||||
summary.append("=" * 50)
|
||||
summary.append("许可事项三位一体对比统计")
|
||||
summary.append("=" * 50)
|
||||
summary.append(f"总计处理事项: {total}")
|
||||
summary.append(f"客户要求事项: {is_client_req}")
|
||||
summary.append(f"已接收物理文件: {has_file}")
|
||||
summary.append(f"数据库已入库: {is_in_db}")
|
||||
summary.append("-" * 50)
|
||||
|
||||
status_counts = df[status_col].value_counts()
|
||||
summary.append("状态分布:")
|
||||
for status, count in status_counts.items():
|
||||
summary.append(f" - {status}: {count}")
|
||||
|
||||
summary.append("-" * 50)
|
||||
|
||||
# Detail some important groups
|
||||
missing_all = df[df[status_col] == "缺失 (无文件无数据)"]
|
||||
if not missing_all.empty:
|
||||
summary.append(f"\n缺失 (无文件无数据) - 前10项:")
|
||||
for name in missing_all[name_col].head(10):
|
||||
summary.append(f" * {name}")
|
||||
|
||||
to_import = df[df[status_col] == "待导入 (已有文件)"]
|
||||
if not to_import.empty:
|
||||
summary.append(f"\n待导入 (已有文件) - 前10项:")
|
||||
for name in to_import[name_col].head(10):
|
||||
summary.append(f" * {name}")
|
||||
|
||||
missing_source = df[df[status_col] == "已入库但缺源文件"]
|
||||
if not missing_source.empty:
|
||||
summary.append(f"\n已入库但缺源文件 - 前10项:")
|
||||
for name in missing_source[name_col].head(10):
|
||||
summary.append(f" * {name}")
|
||||
|
||||
report_text = "\n".join(summary)
|
||||
print(report_text)
|
||||
|
||||
with open('对比简报.txt', 'w', encoding='utf-8') as f:
|
||||
f.write(report_text)
|
||||
|
||||
if __name__ == "__main__":
|
||||
generate_summary()
|
||||
|
|
@ -0,0 +1,196 @@
|
|||
|
||||
import os
|
||||
import pandas as pd
|
||||
import pg8000.dbapi as pg
|
||||
from lawrisk.utils.env_loader import load_env
|
||||
from lawrisk.services import licensing_repo as lic_repo
|
||||
|
||||
def bind_v2():
|
||||
load_env()
|
||||
|
||||
# 1. Load Excel Map
|
||||
excel_path = os.path.join("data", "主题-事项绑定.xlsx")
|
||||
if not os.path.exists(excel_path):
|
||||
# Try root as fallback
|
||||
excel_path = "主题-事项绑定.xlsx"
|
||||
if not os.path.exists(excel_path):
|
||||
print(f"Excel file not found!")
|
||||
return
|
||||
|
||||
print(f"Reading Excel: {excel_path}")
|
||||
df = pd.read_excel(excel_path, header=1)
|
||||
df.columns = [str(c).strip() for c in df.columns]
|
||||
|
||||
# Identify columns
|
||||
col_theme = '主题'
|
||||
if col_theme not in df.columns:
|
||||
for c in df.columns:
|
||||
if '主题' in c: col_theme = c; break
|
||||
|
||||
col_permit = '审批事项'
|
||||
if col_permit not in df.columns:
|
||||
for c in df.columns:
|
||||
if '事项' in c and c != col_theme: col_permit = c; break
|
||||
|
||||
if col_theme not in df.columns or col_permit not in df.columns:
|
||||
print(f"Columns not found in Excel. Found: {df.columns.tolist()}")
|
||||
return
|
||||
|
||||
# Forward fill theme names as they are usually merged in Excel
|
||||
df[col_theme] = df[col_theme].ffill()
|
||||
|
||||
permit_to_themes = {}
|
||||
for idx, row in df.iterrows():
|
||||
p = str(row[col_permit]).strip()
|
||||
t = str(row[col_theme]).strip()
|
||||
if p and t and p != 'nan' and t != 'nan':
|
||||
if p not in permit_to_themes:
|
||||
permit_to_themes[p] = []
|
||||
if t not in permit_to_themes[p]:
|
||||
permit_to_themes[p].append(t)
|
||||
|
||||
print(f"Loaded {len(permit_to_themes)} unique permit names from Excel mapping.")
|
||||
|
||||
# 2. Connect DB
|
||||
conn = lic_repo._lic_pg_conn()
|
||||
cur = conn.cursor()
|
||||
|
||||
try:
|
||||
# 3. Get Region ID for '市级' (Main target)
|
||||
cur.execute("SELECT id FROM regions WHERE name = '市级'")
|
||||
res = cur.fetchone()
|
||||
if not res:
|
||||
print("Region '市级' not found in DB.")
|
||||
return
|
||||
region_id = res[0]
|
||||
|
||||
# 4. Clear existing bindings for '市级' to ensure fresh re-mapping
|
||||
print(f"Clearing existing bindings for region '市级'...")
|
||||
cur.execute("DELETE FROM region_theme_permits WHERE region_id = %s", (region_id,))
|
||||
print(f"Deleted {cur.rowcount} old bindings.")
|
||||
|
||||
# 5. Ensure all themes from Excel exist in DB
|
||||
cur.execute("SELECT id, name FROM themes")
|
||||
db_themes = {row[1]: str(row[0]) for row in cur.fetchall()}
|
||||
|
||||
all_excel_themes = set()
|
||||
for t_list in permit_to_themes.values():
|
||||
for t in t_list:
|
||||
all_excel_themes.add(t)
|
||||
|
||||
for t_name in all_excel_themes:
|
||||
if t_name not in db_themes:
|
||||
print(f"Creating missing theme: {t_name}")
|
||||
new_id = str(pg.uuid.uuid4())
|
||||
cur.execute("INSERT INTO themes (id, name) VALUES (%s, %s)", (new_id, t_name))
|
||||
db_themes[t_name] = new_id
|
||||
|
||||
# 6. Define mapping overrides for messy names
|
||||
manual_map = {
|
||||
"食品经营许可": ["食品经营许可"],
|
||||
"旅客住宿服务": ["旅馆业特种行业许可证核发"],
|
||||
"开设旅馆": ["旅馆业特种行业许可证核发"],
|
||||
"旅馆业特种行业许可": ["旅馆业特种行业许可证核发"],
|
||||
"药品经营许可（零售）": ["药品经营许可证（零售）"],
|
||||
"食品生产许可": ["食品生产许可"],
|
||||
"建设项目环境影响报告表审批": ["建设项目环境影响评价文件审批（广东省厅事项名称） 【国家标准名：“建设项目环境影响评价审批（海洋工程、核与辐射类除外）”】"],
|
||||
"娱乐场所审批": [
|
||||
"歌舞娱乐场所从事娱乐场所经营 activity 审批",
|
||||
"游艺娱乐场所从事娱乐场所经营活动审批，内资娱乐场所变更、延续、补证、注销审批"
|
||||
],
|
||||
"第二类医疗器械经营备案": ["第二类医疗器械经营备案"],
|
||||
"经营高危险性体育项目许可": ["经营高危险性体育项目许可"],
|
||||
"互联网上网服务营业场所经营单位审批": ["互联网上网服务营业场所信息网络安全审核"],
|
||||
"营业执照": ["营业执照"],
|
||||
}
|
||||
|
||||
inverted_manual = {}
|
||||
for excel_n, db_list in manual_map.items():
|
||||
for db_n in db_list:
|
||||
inverted_manual.setdefault(db_n, []).append(excel_n)
|
||||
|
||||
# 7. Get DB Permits for '市级'
|
||||
cur.execute("""
|
||||
SELECT p.id, p.name
|
||||
FROM region_permit_details rpd
|
||||
JOIN permits p ON p.id = rpd.permit_id
|
||||
WHERE rpd.region_id = %s
|
||||
""", (region_id,))
|
||||
db_permits = cur.fetchall()
|
||||
print(f"Scanning {len(db_permits)} DB permits for binding...")
|
||||
|
||||
bind_count = 0
|
||||
|
||||
def normalize_func(text):
|
||||
if not text: return ""
|
||||
# Remove common suffixes and punctuation for better fuzzy matching
|
||||
return str(text).replace("（", "").replace("）", "").replace("(", "").replace(")", "").replace("许可", "").replace("证", "").replace("审批", "").replace("核发", "").replace("备案", "").replace("业务", "").replace("从事", "").replace("企业", "").replace("设立", "").replace("变更", "").replace(" ", "").strip()
|
||||
|
||||
processed = 0
|
||||
all_bindings = []
|
||||
for pid_raw, pname in db_permits:
|
||||
processed += 1
|
||||
pid = str(pid_raw)
|
||||
matched_excel_names = []
|
||||
|
||||
# A. Manual Map lookup (Case insensitive)
|
||||
for db_n, excel_names in inverted_manual.items():
|
||||
if db_n.lower() == pname.lower():
|
||||
matched_excel_names.extend(excel_names)
|
||||
|
||||
# B. Exact Match (Case insensitive)
|
||||
for en in permit_to_themes.keys():
|
||||
if en.lower() == pname.lower():
|
||||
matched_excel_names.append(en)
|
||||
|
||||
# C. Fuzzy Match fallback
|
||||
if not matched_excel_names:
|
||||
p_norm = normalize_func(pname)
|
||||
best_match = None
|
||||
max_score = 0
|
||||
for excel_p in permit_to_themes.keys():
|
||||
e_norm = normalize_func(excel_p)
|
||||
if not e_norm or not p_norm: continue
|
||||
if e_norm in p_norm or p_norm in e_norm:
|
||||
# Character intersection score
|
||||
score = len(set(e_norm) & set(p_norm))
|
||||
if score > max_score and score >= 2:
|
||||
max_score = score
|
||||
best_match = excel_p
|
||||
if best_match:
|
||||
matched_excel_names.append(best_match)
|
||||
|
||||
# Perform binding for all unique themes associated with matched names
|
||||
final_themes = set()
|
||||
for en in matched_excel_names:
|
||||
if en in permit_to_themes:
|
||||
for t in permit_to_themes[en]:
|
||||
final_themes.add(t)
|
||||
|
||||
for t_name in final_themes:
|
||||
tid = db_themes.get(t_name)
|
||||
if tid:
|
||||
print(f" -> Binding to Theme: {t_name}")
|
||||
all_bindings.append((region_id, tid, pid))
|
||||
else:
|
||||
print(f"Warning: Theme '{t_name}' not found in DB maps.")
|
||||
|
||||
print(f"Inserting {len(all_bindings)} new bindings...")
|
||||
for b in all_bindings:
|
||||
cur.execute("""
|
||||
INSERT INTO region_theme_permits (region_id, theme_id, permit_id)
|
||||
VALUES (%s, %s, %s)
|
||||
ON CONFLICT DO NOTHING
|
||||
""", b)
|
||||
bind_count += (1 if cur.rowcount > 0 else 0)
|
||||
|
||||
conn.commit()
|
||||
print(f"Update complete. Created {bind_count} bindings for '市级' region.")
|
||||
except Exception as e:
|
||||
conn.rollback()
|
||||
print(f"Error during update: {e}")
|
||||
finally:
|
||||
conn.close()
|
||||
|
||||
if __name__ == "__main__":
|
||||
bind_v2()
|
||||
|
|
@ -0,0 +1,41 @@
|
|||
|
||||
import json
|
||||
import os
|
||||
from lawrisk.utils.env_loader import load_env
|
||||
|
||||
def inspect_files():
|
||||
base_dir = r"市级初版-20251219\许可风险提示"
|
||||
targets = [
|
||||
"10 风险提示表（公众聚集场所投入使用、营业前消防安全检查（告知承诺件））,消防部门）(1)_转自XLS.json",
|
||||
"72 风险提示表（烟草专卖零售许可证核发，烟草专卖部门）.json",
|
||||
"46 风险提示表（烟花爆竹经营（零售）许可证核发，应急部门）市、区汇总_转自XLS.json",
|
||||
"81风险提示表（“《卫星地面接收设施安装服务许可证》（换发）审批”“《卫星地面接收设施安装服务许可证》（申领）审批”,文广旅体部门）_转自XLS.json"
|
||||
]
|
||||
|
||||
for fname in targets:
|
||||
fpath = os.path.join(base_dir, fname)
|
||||
if not os.path.exists(fpath):
|
||||
# Try fuzzy match if exact name fails
|
||||
candidates = [f for f in os.listdir(base_dir) if fname[:10] in f]
|
||||
if candidates:
|
||||
fpath = os.path.join(base_dir, candidates[0])
|
||||
else:
|
||||
print(f"File not found: {fname}")
|
||||
continue
|
||||
|
||||
print(f"\nScanning: {os.path.basename(fpath)}")
|
||||
try:
|
||||
with open(fpath, 'r', encoding='utf-8') as f:
|
||||
data = json.load(f)
|
||||
|
||||
sheets = data.get("sheets", {})
|
||||
for sname, sdata in sheets.items():
|
||||
rows = sdata.get("rows", [])
|
||||
print(f" Sheet: '{sname}' - Rows: {len(rows)}")
|
||||
if rows:
|
||||
print(f" Sample Permit: {rows[0].get('permit_name')}")
|
||||
except Exception as e:
|
||||
print(f" Error: {e}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
inspect_files()
|
||||
|
|
@ -0,0 +1,36 @@
|
|||
|
||||
from lawrisk.services import licensing_repo as lic_repo
|
||||
from lawrisk.utils.env_loader import load_env
|
||||
import time
|
||||
|
||||
def kill_all():
|
||||
load_env()
|
||||
try:
|
||||
conn = lic_repo._lic_pg_conn()
|
||||
cur = conn.cursor()
|
||||
|
||||
# Get all active PIDs
|
||||
cur.execute("""
|
||||
SELECT pid, state, query
|
||||
FROM pg_stat_activity
|
||||
WHERE datname = 'licensing_risks'
|
||||
AND pid <> pg_backend_pid()
|
||||
""")
|
||||
rows = cur.fetchall()
|
||||
|
||||
for pid, state, query in rows:
|
||||
print(f"Killing PID {pid} [{state}]: {query[:50] if query else 'None'}...")
|
||||
cur2 = conn.cursor()
|
||||
try:
|
||||
cur2.execute("SELECT pg_terminate_backend(%s)", (pid,))
|
||||
print(f" Result: {cur2.fetchone()[0]}")
|
||||
except Exception as e:
|
||||
print(f" Failed: {e}")
|
||||
|
||||
conn.commit()
|
||||
conn.close()
|
||||
except Exception as e:
|
||||
print(f"Error: {e}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
kill_all()
|
||||
|
|
@ -0,0 +1,53 @@
|
|||
|
||||
import os
|
||||
import json
|
||||
import logging
|
||||
from lawrisk.services.licensing_repo import _parse_import_workbook
|
||||
|
||||
# Configure logging to see what's happening
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
|
||||
def main():
|
||||
source_dir = r"市级初版-20251219\许可风险提示"
|
||||
if not os.path.exists(source_dir):
|
||||
print(f"Error: Directory {source_dir} not found.")
|
||||
return
|
||||
|
||||
processed_count = 0
|
||||
error_count = 0
|
||||
|
||||
for filename in os.listdir(source_dir):
|
||||
# Process only .xlsx files and skip temporary files
|
||||
if filename.endswith(".xlsx") and not filename.startswith("~$"):
|
||||
fpath = os.path.join(source_dir, filename)
|
||||
print(f"Processing {filename}...")
|
||||
|
||||
try:
|
||||
with open(fpath, "rb") as f:
|
||||
content = f.read()
|
||||
|
||||
# Parse the workbook using the updated logic in licensing_repo
|
||||
parsed = _parse_import_workbook(content, filename)
|
||||
|
||||
# Ensure the filename in JSON matches the Excel source
|
||||
parsed["filename"] = filename
|
||||
|
||||
# Derive output JSON filename (same base name as XLSX)
|
||||
out_name = filename.rsplit('.', 1)[0] + ".json"
|
||||
out_path = os.path.join(source_dir, out_name)
|
||||
|
||||
with open(out_path, "w", encoding="utf-8") as out_f:
|
||||
json.dump(parsed, out_f, ensure_ascii=False, indent=2)
|
||||
|
||||
print(f" Successfully exported to {out_name}")
|
||||
processed_count += 1
|
||||
except Exception as e:
|
||||
print(f" Error processing {filename}: {e}")
|
||||
error_count += 1
|
||||
|
||||
print(f"\nProcessing finished.")
|
||||
print(f"Total processed: {processed_count}")
|
||||
print(f"Total errors: {error_count}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
|
@ -0,0 +1,79 @@
|
|||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
简单读取并显示三位一体对比表的统计信息
|
||||
"""
|
||||
|
||||
import pandas as pd
|
||||
import sys
|
||||
|
||||
# 设置输出编码
|
||||
sys.stdout.reconfigure(encoding='utf-8')
|
||||
|
||||
def main():
|
||||
# 读取Excel文件
|
||||
df = pd.read_excel("许可事项三位一体对比表_v2.xlsx")
|
||||
|
||||
print("="*80)
|
||||
print("许可事项三位一体对比表 - 统计信息")
|
||||
print("="*80)
|
||||
|
||||
print(f"\n总事项数量: {len(df)}")
|
||||
|
||||
# 统计各列的勾选情况
|
||||
client_count = (df['客户提供'] == '✓').sum()
|
||||
received_count = (df['已接收'] == '✓').sum()
|
||||
db_count = (df['已入库'] == '✓').sum()
|
||||
|
||||
print(f"\n客户提供的事项: {client_count}")
|
||||
print(f"已接收的事项: {received_count}")
|
||||
print(f"已入库的事项: {db_count}")
|
||||
|
||||
# 统计状态分布
|
||||
print("\n状态分布:")
|
||||
status_counts = df['状态说明'].value_counts()
|
||||
for status, count in status_counts.items():
|
||||
print(f" {status}: {count}")
|
||||
|
||||
# 显示需要关注的事项
|
||||
print("\n" + "="*80)
|
||||
print("需要关注的事项")
|
||||
print("="*80)
|
||||
|
||||
# 待入库的事项
|
||||
to_import = df[df['状态说明'] == '待入库']
|
||||
if len(to_import) > 0:
|
||||
print(f"\n[待入库] ({len(to_import)} 项):")
|
||||
for idx, row in to_import.head(10).iterrows():
|
||||
print(f" - {row['事项名称']}")
|
||||
if len(to_import) > 10:
|
||||
print(f" ... 还有 {len(to_import) - 10} 项")
|
||||
|
||||
# 缺少文件和数据的事项
|
||||
missing_all = df[df['状态说明'] == '缺少文件和数据']
|
||||
if len(missing_all) > 0:
|
||||
print(f"\n[缺少文件和数据] ({len(missing_all)} 项):")
|
||||
for idx, row in missing_all.head(10).iterrows():
|
||||
print(f" - {row['事项名称']}")
|
||||
if len(missing_all) > 10:
|
||||
print(f" ... 还有 {len(missing_all) - 10} 项")
|
||||
|
||||
# 缺少源文件的事项
|
||||
missing_source = df[df['状态说明'] == '缺少源文件']
|
||||
if len(missing_source) > 0:
|
||||
print(f"\n[缺少源文件] ({len(missing_source)} 项):")
|
||||
for idx, row in missing_source.head(10).iterrows():
|
||||
print(f" - {row['事项名称']}")
|
||||
if len(missing_source) > 10:
|
||||
print(f" ... 还有 {len(missing_source) - 10} 项")
|
||||
|
||||
# 完整的事项
|
||||
complete = df[df['状态说明'] == '完整（三方都有）']
|
||||
print(f"\n[完整（三方都有）] ({len(complete)} 项)")
|
||||
|
||||
print("\n" + "="*80)
|
||||
print("对比表文件: 许可事项三位一体对比表_v2.xlsx")
|
||||
print("="*80)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
|
@ -0,0 +1,72 @@
|
|||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
读取并显示三位一体对比表的统计信息
|
||||
"""
|
||||
|
||||
import pandas as pd
|
||||
from collections import Counter
|
||||
|
||||
def main():
|
||||
# 读取Excel文件
|
||||
df = pd.read_excel("许可事项三位一体对比表_v2.xlsx")
|
||||
|
||||
print("="*80)
|
||||
print("许可事项三位一体对比表 - 统计信息")
|
||||
print("="*80)
|
||||
|
||||
print(f"\n总事项数量: {len(df)}")
|
||||
|
||||
# 统计各列的勾选情况
|
||||
print(f"\n客户提供的事项: {(df['客户提供'] == '✓').sum()}")
|
||||
print(f"已接收的事项: {(df['已接收'] == '✓').sum()}")
|
||||
print(f"已入库的事项: {(df['已入库'] == '✓').sum()}")
|
||||
|
||||
# 统计状态分布
|
||||
print("\n状态分布:")
|
||||
status_counts = df['状态说明'].value_counts()
|
||||
for status, count in status_counts.items():
|
||||
print(f" {status}: {count}")
|
||||
|
||||
# 显示需要关注的事项
|
||||
print("\n" + "="*80)
|
||||
print("需要关注的事项")
|
||||
print("="*80)
|
||||
|
||||
# 待入库的事项
|
||||
to_import = df[df['状态说明'] == '待入库']
|
||||
if len(to_import) > 0:
|
||||
print(f"\n【待入库】({len(to_import)} 项):")
|
||||
for idx, row in to_import.head(15).iterrows():
|
||||
print(f" - {row['事项名称']}")
|
||||
if len(to_import) > 15:
|
||||
print(f" ... 还有 {len(to_import) - 15} 项")
|
||||
|
||||
# 缺少文件和数据的事项
|
||||
missing_all = df[df['状态说明'] == '缺少文件和数据']
|
||||
if len(missing_all) > 0:
|
||||
print(f"\n【缺少文件和数据】({len(missing_all)} 项):")
|
||||
for idx, row in missing_all.head(15).iterrows():
|
||||
print(f" - {row['事项名称']}")
|
||||
if len(missing_all) > 15:
|
||||
print(f" ... 还有 {len(missing_all) - 15} 项")
|
||||
|
||||
# 缺少源文件的事项
|
||||
missing_source = df[df['状态说明'] == '缺少源文件']
|
||||
if len(missing_source) > 0:
|
||||
print(f"\n【缺少源文件】({len(missing_source)} 项):")
|
||||
for idx, row in missing_source.head(15).iterrows():
|
||||
print(f" - {row['事项名称']}")
|
||||
if len(missing_source) > 15:
|
||||
print(f" ... 还有 {len(missing_source) - 15} 项")
|
||||
|
||||
# 完整的事项
|
||||
complete = df[df['状态说明'] == '完整（三方都有）']
|
||||
print(f"\n【完整（三方都有）】({len(complete)} 项)")
|
||||
|
||||
print("\n" + "="*80)
|
||||
print("对比表已保存到: 许可事项三位一体对比表_v2.xlsx")
|
||||
print("="*80)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
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|
After Width: | Height: | Size: 71 KiB |
Loading…
Reference in New Issue