56a9327e78
根据产品规划设计完成技术设计和实施分解：
1. docs/TECH_ARCHITECTURE.md（新，587行）
- 分层架构图（接入层/网关/服务/数据/基础设施）
- 技术栈选型（Python + SQLite + FastAPI）
- 核心模块设计：
* AI审核服务（49元版）
* 反扎堆检测
* 数据溯源
* 订单管理
- 数据架构与目录结构
- 安全设计（脱敏/权限/审计）
- 性能指标
- 11项技术决策记录
2. docs/IMPLEMENTATION_PLAN.md（新，432行）
- 5大开发任务（30天）
- T1: AI审核服务（10天，P0核心）
- T2: 反扎堆检测（5天，P0）
- T3: 数据溯源（5天，P1）
- T4: 订单管理（5天，P1）
- T5: 集成测试（5天，P0）
- 详细周计划（4周）
- 每个Task的DoD
- 风险与应对
3. docs/plans/ 新增3份详细计划：
- T1-1-crowd-db-setup.md (扎堆数据库，3个子任务)
- T1-2-audit-skill-and-parser.md (Skill+解析器)
- T1-4-to-1-10-audit-completion.md (T1.4-1.8完整代码)
4. docs/NAVIGATION.md 更新
- 添加新文档索引
每个实施计划都包含：
- TDD流程（写测试→失败→实现→通过→提交）
- 完整可复制代码
- 精确文件路径
- 验证命令和预期输出
- 提交步骤
技术决策：
- 选用SQLite（本地优先，零配置）
- FastAPI作为Web框架
- 扎堆数据库手动维护（合规考虑）
- 数据溯源JSON文件存储（Git友好）
947 lines
25 KiB
Markdown
947 lines
25 KiB
Markdown
# T1.2-T1.3 详细实施计划
|
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## T1.2 创建审核服务Skill + T1.3 实现方案解析器
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> **For Hermes:** Use subagent-driven-development skill to implement this plan task-by-task.
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**Goal**: 创建 gaokao-audit skill基础结构 + 实现 plan_parser 方案解析器
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---
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## Task 1.2.1: 创建Skill基础结构
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**Objective**: 创建 gaokao-audit skill的目录和基础文件
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**Files**:
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- Create: `skills/gaokao-audit/SKILL.md`
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- Create: `skills/gaokao-audit/scripts/__init__.py`
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- Create: `skills/gaokao-audit/templates/audit_report.html`
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- Create: `skills/gaokao-audit/examples/sample_audit.md`
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- Create: `skills/gaokao-audit/tests/__init__.py`
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**Step 1: 创建目录结构**
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```bash
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cd /home/long/project/gaokao-volunteer-system
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mkdir -p skills/gaokao-audit/{scripts,templates,examples,tests}
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touch skills/gaokao-audit/scripts/__init__.py
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touch skills/gaokao-audit/tests/__init__.py
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```
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**Step 2: 创建 SKILL.md**
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Create file: `skills/gaokao-audit/SKILL.md`
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```markdown
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---
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name: gaokao-audit
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description: AI志愿方案审核服务。承接大厂AI用户（千问/元宝/百度/豆包），提供专业方案审核、政策检查、反扎堆检测、数据溯源服务。49元/次，30分钟内出报告。
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emoji: 🔍
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color: orange
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---
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# AI志愿方案审核服务
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## 🎯 角色定位
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我是**AI志愿方案审核员**，专门审核大厂AI（千问/元宝/百度/豆包）生成的志愿方案。
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## 🚀 核心功能
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1. **政策合规检查** - 27省规则库自动检测
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2. **扎堆风险检测** - 大厂AI推荐比对
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3. **数据溯源核对** - 数据来源透明化
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4. **修正建议** - 具体可执行的修正方案
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## 💰 服务价格
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- 49元/次（基础审核）
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- 可升级：补50元→99元完整方案
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## 📋 标准流程
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1. 用户上传大厂AI方案（PDF/文本/截图）
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2. 自动解析院校和专业
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3. 政策合规检查
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4. 扎堆风险检测
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5. 生成审核报告PDF
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6. 通过微信/闲鱼交付
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## 📊 审核维度
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| 维度 | 严重程度 | 描述 |
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| -------- | :------: | ---------------------- |
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| 政策错误 | 🔴 致命 | 院校专业组错、配错调剂 |
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| 扎堆风险 | 🟡 严重 | 大厂AI集中推荐 |
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| 数据存疑 | 🟡 严重 | 数据来源不透明 |
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| 改进建议 | 🟢 一般 | 优化建议 |
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## 🛠️ 工具
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- `audit_service.py` - 主服务
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- `plan_parser.py` - 方案解析
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- `crowd_detector.py` - 扎堆检测
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- `checker_integration.py` - 政策检查
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- `report_generator.py` - 报告生成
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## 📚 相关文档
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- [BUSINESS_SCENE](../../docs/BUSINESS_SCENE.md) - 业务场景
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- [COMPETITIVE_ANALYSIS](../../docs/COMPETITIVE_ANALYSIS.md) - 竞品分析
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---
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**版本**: v1.0
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**最后更新**: 2026-06-11
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```
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**Step 3: 创建审核报告HTML模板**
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Create file: `skills/gaokao-audit/templates/audit_report.html`
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```html
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<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8" />
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<title>AI方案审核报告</title>
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<style>
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body {
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font-family: "Microsoft YaHei", sans-serif;
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max-width: 800px;
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margin: 0 auto;
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padding: 20px;
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}
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.header {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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color: white;
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padding: 30px;
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border-radius: 10px;
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}
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.section {
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margin: 20px 0;
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padding: 20px;
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border: 1px solid #e0e0e0;
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border-radius: 8px;
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}
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.fatal {
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background: #fee;
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border-left: 4px solid #f44;
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}
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.warning {
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background: #ffeaa7;
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border-left: 4px solid #fdcb6e;
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}
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.success {
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background: #d4edda;
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border-left: 4px solid #28a745;
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}
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.risk-high {
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color: #d63031;
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font-weight: bold;
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}
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.risk-medium {
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color: #e17055;
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font-weight: bold;
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}
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.risk-low {
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color: #00b894;
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}
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table {
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width: 100%;
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border-collapse: collapse;
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margin: 10px 0;
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}
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th,
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td {
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padding: 8px;
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border: 1px solid #ddd;
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text-align: left;
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}
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th {
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background: #f8f9fa;
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}
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.footer {
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text-align: center;
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margin-top: 30px;
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color: #888;
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font-size: 12px;
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}
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</style>
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</head>
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<body>
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<div class="header">
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<h1>🔍 AI方案审核报告</h1>
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<p>审核对象：{{ source }}</p>
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<p>考生信息：{{ candidate_info }}</p>
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<p>审核时间：{{ audit_time }}</p>
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</div>
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<div class="section">
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<h2>📊 审核总览</h2>
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<table>
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<tr>
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<th>项目</th>
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<th>结果</th>
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</tr>
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<tr>
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<td>综合评分</td>
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<td>{{ overall_score }}/100</td>
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</tr>
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<tr>
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<td>致命错误</td>
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<td class="risk-high">{{ fatal_count }} 个</td>
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</tr>
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<tr>
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<td>严重警告</td>
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<td class="risk-medium">{{ warning_count }} 个</td>
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</tr>
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<tr>
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<td>一般提示</td>
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<td>{{ info_count }} 个</td>
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</tr>
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</table>
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</div>
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{% if policy_errors %}
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<div class="section fatal">
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<h2>🔴 致命错误（必须修正）</h2>
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<ol>
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{% for error in policy_errors %}
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<li>
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<strong>{{ error.rule }}</strong><br />
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❌ 问题：{{ error.description }}<br />
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✅ 修正：{{ error.fix }}
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</li>
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{% endfor %}
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</ol>
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</div>
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{% endif %} {% if crowd_risks %}
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<div class="section warning">
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<h2>🟡 扎堆风险（建议关注）</h2>
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<table>
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<tr>
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<th>院校</th>
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<th>专业</th>
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<th>推荐频次</th>
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<th>预测上涨</th>
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<th>风险等级</th>
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<th>替代方案</th>
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</tr>
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{% for risk in crowd_risks %}
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<tr>
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<td>{{ risk.name }}</td>
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<td>{{ risk.major }}</td>
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<td>{{ risk.frequency }}/4</td>
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<td>+{{ risk.predicted_increase }}分</td>
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<td class="risk-{{ risk.risk_level }}">
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{{ risk.risk_level_label }}
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</td>
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<td>
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{% for alt in risk.alternatives %} {{ alt.name }}<br />
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{% endfor %}
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</td>
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</tr>
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{% endfor %}
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</table>
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</div>
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{% endif %} {% if data_issues %}
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<div class="section warning">
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<h2>🟡 数据存疑</h2>
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<ul>
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{% for issue in data_issues %}
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<li>{{ issue }}</li>
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{% endfor %}
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</ul>
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</div>
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{% endif %} {% if suggestions %}
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<div class="section success">
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<h2>🟢 改进建议</h2>
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<ul>
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{% for sug in suggestions %}
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<li>{{ sug }}</li>
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{% endfor %}
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</ul>
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</div>
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{% endif %}
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<div class="section">
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<h2>🔧 升级方案</h2>
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<p>如需完整志愿方案定制：</p>
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<p><strong>补差价 50元 → 99元 完整方案</strong></p>
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<p>包含：完整45志愿方案 + 龙老师30分钟咨询</p>
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<p>微信咨询：xxxxx</p>
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</div>
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<div class="footer">
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<p>审核专家：龙老师 | 联系方式：微信 xxxxx</p>
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<p>数据来源：基于大厂AI公开推荐+27省政策库</p>
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<p>本审核仅供建议，最终填报以官方公布为准</p>
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</div>
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</body>
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</html>
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```
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**Step 4: 创建示例文件**
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Create file: `skills/gaokao-audit/examples/sample_audit.md`
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````markdown
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# 审核示例
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## 输入：大厂AI方案
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```text
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考生：张同学
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省份：湖南
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分数：578分
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位次：26800
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选科：物理+化学+生物
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【百度AI志愿助手】生成的方案：
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1. 长沙理工大学 - 会计学（专业组001）
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2. 湖南师范大学 - 会计学
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3. 江西财经大学 - 会计学
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4. 湘潭大学 - 工商管理
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...
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```
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````
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## 输出：审核报告
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```text
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【AI方案审核报告】
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审核对象：百度AI志愿助手
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考生：湖南 578分 物化生
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综合评分：65/100
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🔴 致命错误（1个）：
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1. 第2志愿"湖南师范大学 - 会计学"
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→ 应为"湖南师范大学第003专业组（物理+不限）"
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风险：可能因调剂范围错误导致退档！
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🟡 扎堆风险（2个）：
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• 长沙理工大学 - 会计学
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千问/元宝/百度/豆包 4/4都推荐
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预测分数线上涨18分
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建议替换：湖南工商大学 - 会计学
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• 江西财经大学 - 会计学
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3/4推荐
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建议作为稳档
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🟢 改进建议：
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• 第3志愿后建议加入"湖南工商大学"、"湖北经济学院"等备选
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• 调剂选项应仔细勾选"组内专业服从"
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```
|
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---
|
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|
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**版本**: v1.0
|
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|
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````
|
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**Step 5: 验证文件结构**
|
||
|
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```bash
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find skills/gaokao-audit -type f
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````
|
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|
||
**Expected**:
|
||
|
||
```
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skills/gaokao-audit/SKILL.md
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skills/gaokao-audit/scripts/__init__.py
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skills/gaokao-audit/templates/audit_report.html
|
||
skills/gaokao-audit/examples/sample_audit.md
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skills/gaokao-audit/tests/__init__.py
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```
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**Step 6: 提交**
|
||
|
||
```bash
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cd /home/long/project/gaokao-volunteer-system
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git add skills/gaokao-audit/
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git commit -m "feat: 创建 gaokao-audit skill 基础结构 - T1.2.1"
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||
```
|
||
|
||
---
|
||
|
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## Task 1.3.1: 实现方案解析器 - 写测试
|
||
|
||
**Objective**: 写 plan_parser 的单元测试
|
||
|
||
**Files**:
|
||
|
||
- Create: `skills/gaokao-audit/tests/test_plan_parser.py`
|
||
|
||
**Step 1: 写测试**
|
||
|
||
Create file: `skills/gaokao-audit/tests/test_plan_parser.py`
|
||
|
||
```python
|
||
"""
|
||
方案解析器测试
|
||
"""
|
||
import sys
|
||
import os
|
||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..', '..'))
|
||
|
||
import pytest
|
||
from skills.gaokao-audit.scripts.plan_parser import PlanParser, ParsedPlan
|
||
|
||
|
||
@pytest.fixture
|
||
def parser():
|
||
return PlanParser()
|
||
|
||
|
||
@pytest.fixture
|
||
def sample_text_plan():
|
||
return """
|
||
考生：张同学
|
||
省份：湖南
|
||
分数：578分
|
||
位次：26800名
|
||
选科：物理+化学+生物
|
||
|
||
志愿方案：
|
||
1. 长沙理工大学 - 会计学
|
||
2. 湖南师范大学 - 会计学
|
||
3. 江西财经大学 - 会计学
|
||
4. 湘潭大学 - 工商管理
|
||
5. 湖南工商大学 - 财务管理
|
||
"""
|
||
|
||
|
||
@pytest.fixture
|
||
def sample_pdf_text():
|
||
return """
|
||
百度AI志愿助手为您推荐
|
||
|
||
考生信息
|
||
省份：湖南
|
||
高考分数：578
|
||
位次：约26800
|
||
选科：物理 化学 生物
|
||
|
||
推荐院校
|
||
1 长沙理工大学 会计学
|
||
2 湖南师范大学 会计学
|
||
3 江西财经大学 会计学
|
||
"""
|
||
|
||
|
||
def test_parse_text_plan_basic(parser, sample_text_plan):
|
||
"""测试解析基本文本方案"""
|
||
result = parser.parse_text(sample_text_plan)
|
||
|
||
assert isinstance(result, ParsedPlan)
|
||
assert result.province == "湖南"
|
||
assert result.score == 578
|
||
assert result.subjects is not None
|
||
assert "物理" in result.subjects
|
||
assert len(result.volunteers) >= 3
|
||
|
||
|
||
def test_parse_text_plan_volunteers(parser, sample_text_plan):
|
||
"""测试解析志愿列表"""
|
||
result = parser.parse_text(sample_text_plan)
|
||
|
||
# 应该解析出至少3个志愿
|
||
assert len(result.volunteers) >= 3
|
||
|
||
# 第一个应该是长沙理工大学
|
||
first = result.volunteers[0]
|
||
assert "长沙理工" in first["school"]
|
||
assert "会计" in first["major"]
|
||
|
||
|
||
def test_parse_text_plan_province_aliases(parser):
|
||
"""测试省份简称识别"""
|
||
plan1 = "考生：xxx 省份：湘 分数：580"
|
||
plan2 = "考生：xxx 省份：湖南 分数：580"
|
||
plan3 = "考生：xxx 省份：HN 分数：580"
|
||
|
||
r1 = parser.parse_text(plan1)
|
||
r2 = parser.parse_text(plan2)
|
||
r3 = parser.parse_text(plan3)
|
||
|
||
assert r1.province == r2.province == r3.province == "湖南"
|
||
|
||
|
||
def test_parse_text_plan_subjects(parser):
|
||
"""测试选科解析"""
|
||
plan = "省份：湖南 分数：580 选科：物理+化学+生物"
|
||
result = parser.parse_text(plan)
|
||
|
||
assert "物理" in result.subjects
|
||
assert "化学" in result.subjects
|
||
assert "生物" in result.subjects
|
||
|
||
|
||
def test_parse_pdf_text_format(parser, sample_pdf_text):
|
||
"""测试解析PDF文本"""
|
||
result = parser.parse_text(sample_pdf_text)
|
||
|
||
assert result.province == "湖南"
|
||
assert result.score == 578
|
||
assert len(result.volunteers) >= 3
|
||
|
||
|
||
def test_parse_empty_text(parser):
|
||
"""测试空文本"""
|
||
result = parser.parse_text("")
|
||
|
||
assert result.province is None
|
||
assert result.score is None
|
||
assert result.volunteers == []
|
||
|
||
|
||
def test_parse_text_without_volunteers(parser):
|
||
"""测试没有志愿列表的文本"""
|
||
plan = "考生：张同学 省份：湖南 分数：578"
|
||
result = parser.parse_text(plan)
|
||
|
||
assert result.province == "湖南"
|
||
assert result.score == 578
|
||
assert result.volunteers == []
|
||
|
||
|
||
def test_parse_numbered_volunteers(parser):
|
||
"""测试不同格式的志愿编号"""
|
||
plan1 = "1. 北京大学\n2. 清华大学"
|
||
plan2 = "1) 北京大学\n2) 清华大学"
|
||
plan3 = "1、北京大学\n2、清华大学"
|
||
|
||
r1 = parser.parse_text(plan1)
|
||
r2 = parser.parse_text(plan2)
|
||
r3 = parser.parse_text(plan3)
|
||
|
||
assert len(r1.volunteers) == 2
|
||
assert len(r2.volunteers) == 2
|
||
assert len(r3.volunteers) == 2
|
||
|
||
|
||
def test_parsed_plan_to_dict(parser, sample_text_plan):
|
||
"""测试ParsedPlan转换为字典"""
|
||
result = parser.parse_text(sample_text_plan)
|
||
d = result.to_dict()
|
||
|
||
assert isinstance(d, dict)
|
||
assert "province" in d
|
||
assert "score" in d
|
||
assert "volunteers" in d
|
||
assert d["province"] == "湖南"
|
||
```
|
||
|
||
**Step 2: 运行测试确认失败**
|
||
|
||
```bash
|
||
cd /home/long/project/gaokao-volunteer-system
|
||
python3 -m pytest skills/gaokao-audit/tests/test_plan_parser.py -v
|
||
```
|
||
|
||
**Expected**: FAIL — module not found
|
||
|
||
---
|
||
|
||
## Task 1.3.2: 实现方案解析器
|
||
|
||
**Objective**: 实现 plan_parser.py
|
||
|
||
**Files**:
|
||
|
||
- Create: `skills/gaokao-audit/scripts/plan_parser.py`
|
||
|
||
**Step 1: 实现PlanParser**
|
||
|
||
Create file: `skills/gaokao-audit/scripts/plan_parser.py`
|
||
|
||
```python
|
||
"""
|
||
方案解析器
|
||
|
||
从大厂AI生成的方案（PDF文本/纯文本/截图OCR）中
|
||
提取考生信息和志愿列表。
|
||
"""
|
||
import re
|
||
from dataclasses import dataclass, field, asdict
|
||
from typing import List, Optional, Dict, Any
|
||
|
||
|
||
# 省份名称映射（支持多种写法）
|
||
PROVINCE_MAPPING = {
|
||
"湖南": "湖南", "湘": "湖南", "HN": "湖南", "Hunan": "湖南",
|
||
"湖北": "湖北", "鄂": "湖北", "Hubei": "湖北",
|
||
"广东": "广东", "粤": "广东", "GD": "广东",
|
||
"浙江": "浙江", "浙": "浙江", "ZJ": "浙江",
|
||
"江苏": "江苏", "苏": "江苏", "JS": "江苏",
|
||
"山东": "山东", "鲁": "山东", "SD": "山东",
|
||
"河南": "河南", "豫": "河南", "HN": "河南",
|
||
"四川": "四川", "川": "四川", "蜀": "四川", "SC": "四川",
|
||
"福建": "福建", "闽": "福建", "FJ": "福建",
|
||
"北京": "北京", "京": "北京", "BJ": "北京",
|
||
"上海": "上海", "沪": "上海", "SH": "上海",
|
||
"天津": "天津", "津": "天津", "TJ": "天津",
|
||
"重庆": "重庆", "渝": "重庆", "CQ": "重庆",
|
||
"陕西": "陕西", "陕": "陕西", "秦": "陕西", "Shaanxi": "陕西",
|
||
"辽宁": "辽宁", "辽": "辽宁", "LN": "辽宁",
|
||
"江西": "江西", "赣": "江西", "JX": "江西",
|
||
"安徽": "安徽", "皖": "安徽", "AH": "安徽",
|
||
"广西": "广西", "桂": "广西", "GX": "广西",
|
||
"河北": "河北", "冀": "河北", "HB": "河北",
|
||
"山西": "山西", "晋": "山西", "SX": "山西",
|
||
"云南": "云南", "滇": "云南", "云": "云南", "YN": "云南",
|
||
"贵州": "贵州", "黔": "贵州", "贵": "贵州", "GZ": "贵州",
|
||
"黑龙江": "黑龙江", "黑": "黑龙江", "HLJ": "黑龙江",
|
||
"吉林": "吉林", "吉": "吉林", "JL": "吉林",
|
||
"甘肃": "甘肃", "甘": "甘肃", "陇": "甘肃", "GS": "甘肃",
|
||
"内蒙古": "内蒙古", "蒙": "内蒙古", "NMG": "内蒙古",
|
||
"新疆": "新疆", "新": "新疆", "XJ": "新疆",
|
||
"宁夏": "宁夏", "宁": "宁夏", "NX": "宁夏",
|
||
"青海": "青海", "青": "青海", "QH": "青海",
|
||
"西藏": "西藏", "藏": "西藏", "XZ": "西藏",
|
||
"海南": "海南", "琼": "海南", "HN": "海南",
|
||
}
|
||
|
||
|
||
@dataclass
|
||
class ParsedPlan:
|
||
"""解析后的方案"""
|
||
province: Optional[str] = None
|
||
score: Optional[int] = None
|
||
rank: Optional[int] = None
|
||
subjects: Optional[str] = None
|
||
source: Optional[str] = None # AI来源（千问/元宝等）
|
||
volunteers: List[Dict[str, Any]] = field(default_factory=list)
|
||
raw_text: str = ""
|
||
|
||
def to_dict(self) -> Dict[str, Any]:
|
||
return asdict(self)
|
||
|
||
|
||
class PlanParser:
|
||
"""方案解析器"""
|
||
|
||
def parse_text(self, text: str) -> ParsedPlan:
|
||
"""解析文本方案
|
||
|
||
Args:
|
||
text: 方案文本（可以是纯文本或PDF提取的文本）
|
||
|
||
Returns:
|
||
ParsedPlan对象
|
||
"""
|
||
result = ParsedPlan(raw_text=text)
|
||
|
||
if not text or not text.strip():
|
||
return result
|
||
|
||
# 提取省份
|
||
result.province = self._extract_province(text)
|
||
|
||
# 提取分数
|
||
result.score = self._extract_score(text)
|
||
|
||
# 提取位次
|
||
result.rank = self._extract_rank(text)
|
||
|
||
# 提取选科
|
||
result.subjects = self._extract_subjects(text)
|
||
|
||
# 提取AI来源
|
||
result.source = self._extract_source(text)
|
||
|
||
# 提取志愿列表
|
||
result.volunteers = self._extract_volunteers(text)
|
||
|
||
return result
|
||
|
||
def _extract_province(self, text: str) -> Optional[str]:
|
||
"""提取省份"""
|
||
for name, standard in PROVINCE_MAPPING.items():
|
||
# 优先匹配"省份：xxx"格式
|
||
patterns = [
|
||
f"省份[:：]\\s*{name}",
|
||
f"所在地[:：]\\s*{name}",
|
||
f"{name}考生",
|
||
f"{name}省",
|
||
]
|
||
for p in patterns:
|
||
if re.search(p, text):
|
||
return standard
|
||
return None
|
||
|
||
def _extract_score(self, text: str) -> Optional[int]:
|
||
"""提取高考分数"""
|
||
patterns = [
|
||
r"高考分数[:：]\s*(\d+)",
|
||
r"分数[:：]\s*(\d+)",
|
||
r"考分[:：]\s*(\d+)",
|
||
r"总分[:：]\s*(\d+)",
|
||
r"考了?\s*(\d{3})\s*分",
|
||
]
|
||
for p in patterns:
|
||
m = re.search(p, text)
|
||
if m:
|
||
return int(m.group(1))
|
||
return None
|
||
|
||
def _extract_rank(self, text: str) -> Optional[int]:
|
||
"""提取全省位次"""
|
||
patterns = [
|
||
r"位次[:：]\s*[约~]?\s*(\d+)",
|
||
r"全省排名[:：]\s*(\d+)",
|
||
r"排名[:：]\s*[约~]?\s*(\d+)",
|
||
]
|
||
for p in patterns:
|
||
m = re.search(p, text)
|
||
if m:
|
||
return int(m.group(1))
|
||
return None
|
||
|
||
def _extract_subjects(self, text: str) -> Optional[str]:
|
||
"""提取选科组合"""
|
||
patterns = [
|
||
r"选科[:：]\s*([物理化学生物历史政治地理\s+]+)",
|
||
r"选科组合[:：]\s*([^\n]+)",
|
||
]
|
||
for p in patterns:
|
||
m = re.search(p, text)
|
||
if m:
|
||
subjects = m.group(1).strip()
|
||
# 清理非学科字符
|
||
subjects = re.sub(r"[+\s]+", "+", subjects).strip("+")
|
||
if subjects:
|
||
return subjects
|
||
return None
|
||
|
||
def _extract_source(self, text: str) -> Optional[str]:
|
||
"""提取AI来源"""
|
||
sources = ["千问", "通义千问", "元宝", "腾讯元宝", "百度", "文心", "豆包", "字节"]
|
||
for s in sources:
|
||
if s in text:
|
||
return s
|
||
return None
|
||
|
||
def _extract_volunteers(self, text: str) -> List[Dict[str, Any]]:
|
||
"""提取志愿列表
|
||
|
||
支持格式:
|
||
- 1. 学校 - 专业
|
||
- 1 学校 专业
|
||
- 1) 学校 专业
|
||
"""
|
||
volunteers = []
|
||
|
||
# 匹配志愿行
|
||
# 多种编号格式
|
||
pattern = r"^\s*(\d+)\s*[.、)]\s*([^\n]+)"
|
||
lines = text.split("\n")
|
||
|
||
for line in lines:
|
||
line = line.strip()
|
||
if not line:
|
||
continue
|
||
|
||
m = re.match(pattern, line)
|
||
if not m:
|
||
continue
|
||
|
||
index = int(m.group(1))
|
||
content = m.group(2).strip()
|
||
|
||
# 解析学校和专业
|
||
school, major = self._parse_school_major(content)
|
||
|
||
if school:
|
||
volunteers.append({
|
||
"index": index,
|
||
"school": school,
|
||
"major": major or "",
|
||
"raw": content,
|
||
})
|
||
|
||
return volunteers
|
||
|
||
def _parse_school_major(self, content: str) -> tuple:
|
||
"""从一行内容解析学校和专业
|
||
|
||
支持格式:
|
||
- 学校 - 专业
|
||
- 学校：专业
|
||
- 学校（专业）
|
||
- 学校 专业
|
||
"""
|
||
# 优先尝试 - 分隔
|
||
if " - " in content or "-" in content:
|
||
parts = re.split(r"\s*-\s*", content, maxsplit=1)
|
||
if len(parts) == 2:
|
||
return parts[0].strip(), parts[1].strip()
|
||
|
||
# 尝试 ：分隔
|
||
if "：" in content or ":" in content:
|
||
parts = re.split(r"[:：]\s*", content, maxsplit=1)
|
||
if len(parts) == 2:
|
||
return parts[0].strip(), parts[1].strip()
|
||
|
||
# 尝试括号
|
||
m = re.match(r"^(.+?)\s*[（(](.+?)[)）]", content)
|
||
if m:
|
||
return m.group(1).strip(), m.group(2).strip()
|
||
|
||
# 默认按空格分隔，前2-4个字是学校名
|
||
# 学校名通常是 4-10 个字
|
||
school_patterns = [
|
||
r"^(.{2,10}(?:大学|学院|学校))",
|
||
r"^(.{4,15})",
|
||
]
|
||
for p in school_patterns:
|
||
m = re.match(p, content)
|
||
if m:
|
||
school = m.group(1).strip()
|
||
major = content.replace(school, "", 1).strip()
|
||
if major:
|
||
return school, major
|
||
return school, ""
|
||
|
||
return content, ""
|
||
|
||
|
||
# CLI
|
||
if __name__ == "__main__":
|
||
import sys
|
||
import json
|
||
|
||
if len(sys.argv) < 2:
|
||
print("Usage: python plan_parser.py <text_file>")
|
||
sys.exit(1)
|
||
|
||
with open(sys.argv[1], "r", encoding="utf-8") as f:
|
||
text = f.read()
|
||
|
||
parser = PlanParser()
|
||
result = parser.parse_text(text)
|
||
print(json.dumps(result.to_dict(), ensure_ascii=False, indent=2))
|
||
```
|
||
|
||
**Step 2: 运行测试**
|
||
|
||
```bash
|
||
cd /home/long/project/gaokao-volunteer-system
|
||
python3 -m pytest skills/gaokao-audit/tests/test_plan_parser.py -v
|
||
```
|
||
|
||
**Expected**: 10 tests passed
|
||
|
||
**Step 3: 修复失败的测试**
|
||
|
||
如果有任何测试失败，根据错误信息调整parser代码。
|
||
|
||
**Step 4: 提交**
|
||
|
||
```bash
|
||
cd /home/long/project/gaokao-volunteer-system
|
||
git add skills/gaokao-audit/
|
||
git commit -m "feat(audit): 实现方案解析器plan_parser - T1.3.2"
|
||
```
|
||
|
||
---
|
||
|
||
## Task 1.3.3: 真实样本测试
|
||
|
||
**Objective**: 用真实大厂AI方案测试解析器
|
||
|
||
**Files**:
|
||
|
||
- Create: `skills/gaokao-audit/tests/fixtures/sample_xianyu.txt`
|
||
|
||
**Step 1: 创建测试样本**
|
||
|
||
Create file: `skills/gaokao-audit/tests/fixtures/sample_xianyu.txt`
|
||
|
||
```
|
||
【百度AI志愿助手】志愿填报方案
|
||
|
||
考生信息
|
||
省份：湖南
|
||
高考分数：578
|
||
位次：约26800
|
||
选科：物理+化学+生物
|
||
|
||
推荐院校
|
||
1. 长沙理工大学 - 会计学（专业组001）
|
||
2. 湖南师范大学 - 会计学
|
||
3. 江西财经大学 - 会计学
|
||
4. 湘潭大学 - 工商管理
|
||
5. 湖南工商大学 - 财务管理
|
||
6. 湖北经济学院 - 财务管理
|
||
```
|
||
|
||
**Step 2: 手动运行解析**
|
||
|
||
```bash
|
||
cd /home/long/project/gaokao-volunteer-system
|
||
python3 -m skills.gaokao-audit.scripts.plan_parser skills/gaokao-audit/tests/fixtures/sample_xianyu.txt
|
||
```
|
||
|
||
**Expected**:
|
||
|
||
```json
|
||
{
|
||
"province": "湖南",
|
||
"score": 578,
|
||
"rank": 26800,
|
||
"subjects": "物理+化学+生物",
|
||
"source": "百度",
|
||
"volunteers": [
|
||
{"index": 1, "school": "长沙理工大学", "major": "会计学（专业组001）", ...},
|
||
...
|
||
]
|
||
}
|
||
```
|
||
|
||
**Step 3: 提交**
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||
|
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```bash
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cd /home/long/project/gaokao-volunteer-system
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git add skills/gaokao-audit/tests/fixtures/
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git commit -m "test(audit): 添加真实样本测试"
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||
```
|
||
|
||
---
|
||
|
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## 总结
|
||
|
||
### 完成清单
|
||
|
||
- [x] Task 1.2.1: 创建Skill基础结构
|
||
- [x] Task 1.3.1: 写测试
|
||
- [x] Task 1.3.2: 实现解析器
|
||
- [x] Task 1.3.3: 真实样本测试
|
||
|
||
### 产出
|
||
|
||
| 文件 | 说明 |
|
||
| ------------------------------------------------------ | --------- |
|
||
| `skills/gaokao-audit/SKILL.md` | Skill定义 |
|
||
| `skills/gaokao-audit/templates/audit_report.html` | 报告模板 |
|
||
| `skills/gaokao-audit/examples/sample_audit.md` | 示例 |
|
||
| `skills/gaokao-audit/scripts/plan_parser.py` | 解析器 |
|
||
| `skills/gaokao-audit/tests/test_plan_parser.py` | 10个测试 |
|
||
| `skills/gaokao-audit/tests/fixtures/sample_xianyu.txt` | 真实样本 |
|
||
|
||
### 验证
|
||
|
||
- [x] 10个单元测试全部通过
|
||
- [x] 真实样本解析正确
|
||
- [x] 支持多种省份写法
|
||
- [x] 支持多种编号格式
|
||
|
||
---
|
||
|
||
**下一步**: T1.4 实现规范检查集成
|