102 lines
3.0 KiB
Markdown
102 lines
3.0 KiB
Markdown
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# 养老金产品数据库 Schema
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## 数据库文件
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`data/pension_products.db` — SQLite 3，使用 WAL 模式。
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## 表结构
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### pension_products（主表）
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| 列名 | 类型 | 说明 |
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|------|------|------|
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| code | TEXT PK | 产品代码，如 `PAA001.YLJ` |
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| name | TEXT | 基金简称 |
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| official_name | TEXT | 官方简称 |
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| manager_prefix | TEXT | 管理人前缀，如 `PA` |
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| manager_name | TEXT | 管理人名称，如 `平安养老` |
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| product_type | TEXT | 类型字母：A/B/C/D |
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| product_type_name | TEXT | 类型名称：权益型/混合型/债券型/货币型 |
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| bond_subtype | TEXT | 债券子类：Ca/Cb/Cc/Cf/Cg/Ch（仅 C 类有值） |
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| bond_subtype_name | TEXT | 债券子类名称 |
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| establishment_date | TEXT | 成立日期 |
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| expiry_date | TEXT | 到期日期 |
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| last_updated | TEXT | 最后更新时间 |
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### pension_fts（FTS5 全文搜索虚拟表）
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索引字段：code, name, official_name, manager_name, product_type_name
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与 pension_products 通过触发器自动同步。
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## 索引
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| 索引名 | 列 |
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|--------|------|
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| idx_name | name |
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| idx_manager | manager_prefix |
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| idx_type | product_type |
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## 管理人前缀对照
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| 前缀 | 管理人 |
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|------|--------|
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| 00 | 全国社保基金理事会 |
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| 02 | 博时基金 |
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| 05 | 大成基金 |
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| 07 | 工银瑞信 |
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| 10 | 海富通基金 |
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| 11 | 华夏基金 |
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| 15 | 嘉实基金 |
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| 18 | 南方基金 |
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| 20 | 鹏华基金 |
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| 48 | 易方达基金 |
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| 51 | 银华基金 |
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| CJ | 长江养老 |
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| CL | 长城人寿 |
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| HT | 华泰资产 |
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| JX | 建信养老金 |
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| LC | 长量基金 |
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| PA | 平安养老 |
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| RB | 人保资产 |
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| TP | 太平养老 |
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| TZ | 泰康资产 |
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| XH | 新华养老 |
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| ZJ | 中金公司 |
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| ZX | 中信证券 |
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## 数据构建
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```bash
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# 首次构建
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export IFIND_REFRESH_TOKEN="your_token"
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python scripts/build_pension_db.py
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# 指定源文件和输出路径
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python scripts/build_pension_db.py --source ~/Space/ifind/基础信息数据.md --db-path data/pension_products.db
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# 直接使用 access_token
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python scripts/build_pension_db.py --access-token "your_access_token"
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```
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构建脚本会自动从 `基础信息数据.md` 提取 1722 个 `.YLJ` 代码，分批（每批 50 个）调用 `basic_data_service` 获取基金简称、官方简称、成立日、到期日，并通过代码模式解析管理人和产品类型。
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## 常用查询示例
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```sql
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-- 搜索包含"增值"的产品
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SELECT code, name, manager_name FROM pension_products WHERE name LIKE '%增值%';
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-- 平安养老的权益型产品
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SELECT code, name FROM pension_products WHERE manager_prefix = 'PA' AND product_type = 'A';
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-- 各管理人产品数量统计
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SELECT manager_name, COUNT(*) as cnt FROM pension_products GROUP BY manager_prefix ORDER BY cnt DESC;
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-- 各类型产品数量
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SELECT product_type_name, COUNT(*) FROM pension_products GROUP BY product_type;
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-- 拼接代码串供 API 调用
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SELECT GROUP_CONCAT(code) FROM pension_products WHERE manager_prefix = 'PA' AND product_type = 'A';
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```
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