Registry indexed
Use when user asks to create/edit/query Online reports, SQL reports, data reports, or says "创建报表", "生成报表", "新建报表", "查询报表", "online报表", "SQL报表", "数据报表", "统计报表", "create report", "generate report", "data report". Also triggers when user describes report requirements like "做一个销售统计报表
Use when user asks to create/edit/query Online reports, SQL reports, data reports, or says "创建报表", "生成报表", "新建报表", "查询报表", "online报表", "SQL报表", "数据报表", "统计报表", "create report", "generate report", "data report". Also triggers when user describes report requirements like "做一个销售统计报表", mentions JeecgBoot cgreport/online report, or says "查看现有报表" / "列出所有报表". This skill handles Online 报表 (SQL-driven data display/reports), not Online forms (cgform) or designer forms (desform).
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将自然语言描述的报表需求，转换为 Online 报表配置，并通过 API 自动创建/编辑/查询。
重要：本 skill 处理「Online 报表」（SQL 驱动的只读数据报表），不涉及 Online 表单（cgform）或设计器表单（desform）。
| 操作 | 说明 |
|---|---|
| 查询报表 | 列出系统中所有 Online 报表，查看字段和参数配置 |
| 新增报表 | 从自然语言需求或 SQL 创建报表 |
| 编辑报表 | 修改现有报表的字段、参数、SQL |
每次操作前必须收集以下信息（如果用户已提供则跳过）：
https://boot3.jeecg.com/jeecgboot用户未提供时提示：
请提供 JeecgBoot 后端地址和 X-Access-Token。
根据用户意图判断操作类型：
| 用户意图关键词 | 操作 |
|---|---|
| 列出报表 / 查询报表 / 查看所有报表 / 有哪些报表 | 查询报表 → Step 2 |
| 创建 / 新建 / 做一个 / 生成报表 | 新增报表 → Step 3 |
| 修改 / 编辑 / 改字段 / 加字段 / 删除字段 | 编辑报表 → Step 4 |
⚠️ 菜单挂载与角色授权为可选操作，不得默认执行：
- 用户只说"创建报表"→ 仅执行
create_report+validate_report，不挂载菜单，不授权角色- 用户明确说"挂载到菜单"、"绑定菜单"、"授权给 xxx 角色"等关键词 → 才调用
publish_report或create_and_publish- 违反此规则会导致：超出用户意图、产生不必要的菜单记录、因全量拉取权限列表而显著增加耗时
API 初始化（统一入口）：所有 Python 操作前必须先调用
init_api，与desform_utils保持一致：import sys sys.path.insert(0, r'<skill目录>/scripts') from onlreport_api import init_api init_api('<api_base>', '<token>')后续按需导入：
list_all_reports_table,list_fields_by_code_table,list_reports,query_report,list_fields,list_params,parse_sql,create_report,edit_report,gen_id,create_menu,get_role_id_by_code,grant_menu_to_role,add_data_rule,query_data_rules
首选方式，调用 list_all_reports_table() 一次返回所有报表的名称/编码/SQL 表格，自动分页遍历：
from onlreport_api import init_api, list_all_reports_table
init_api('<api_base>', '<token>')
list_all_reports_table()
返回 Markdown 表格，仅含三个字段（报表名称、报表编码、报表 SQL），方便 AI 直接使用：
| 报表名称 | 报表编码 | 报表 SQL |
|----------|----------|----------|
| 关联报表查询 | fz_sql | SELECT u.id, u.username ... |
| ... | ... | ... |
或通过 CLI：
python "<skill目录>/scripts/onlreport_api.py" \
--api-base <URL> --token <TOKEN> -a list-table
首选方式，调用 list_fields_by_code_table(code) 直接通过报表编码查字段：
from onlreport_api import init_api, list_fields_by_code_table
init_api('<api_base>', '<token>')
list_fields_by_code_table('fz_sql')
返回 Markdown 表格，仅含三个字段（字段编码、字段文本、字段类型），自动分页：
| 字段编码 | 字段文本(显示名) | 字段类型 |
|----------|-----------------|----------|
| id | ID | String |
| username | username | String |
| realname | realname | String |
或通过 CLI：
python "<skill目录>/scripts/onlreport_api.py" \
--api-base <URL> --token <TOKEN> -a fields-table --code fz_sql
底层 API：GET /online/cgreport/item/listByHeadCode?headCode={code}
用户指定报表 ID 或编码后，依次查询：
GET /online/cgreport/head/queryById?id={headId} # 报表头配置
GET /online/cgreport/item/listByHeadId?headId={headId} # 字段列表
GET /online/cgreport/param/listByHeadId?headId={headId} # 参数列表
展示完整配置供用户参考，询问是否需要修改。
从用户描述中提取：
| 信息 | 来源 | 示例 |
|---|---|---|
| 报表编码 (code) | 自动生成 snake_case | sales_report |
| 报表名称 (name) | 用户指定 | "销售统计报表" |
| SQL 语句 (cgrSql) | 用户提供 SQL 或描述需求 | SELECT ... FROM ... |
| 数据源 (dbSource) | 用户指定，空=默认 | second_db |
创建前必须校验报表编码唯一性，调用 check_code_available(code) 或直接调用接口：
GET /sys/duplicate/check?tableName=onl_cgreport_head&fieldName=code&fieldVal={code}
返回 success: true 表示编码可用，false 表示已被占用，需换一个。create_report() 内部已自动调用此校验。
SQL 有两种来源：
必须先调用 parseSql 获取字段和参数列表：
GET /online/cgreport/head/parseSql?sql={urlEncodedSql}&dbKey={dbKey}
返回结构：字段列表 fields[] 和参数列表 params[]。
为什么必须先调用 parseSql？ 因为 SQL 中的
${paramName}会被解析为参数列表，字段列表是后续构造 items 配置的依据。
SQL 包含复杂函数（如 name like concat('%','${username}','%')）时会解析失败。解决方案：
username，对应 ${username}）根据字段名语义，自动推导每个字段的配置。
searchMode 说明：有效值只有
single（单值查询）和group（范围查询）两种。String 类型的single查询在后端会自动执行 LIKE 模糊匹配；Date/Datetime 类型用group实现范围选择。有字典配置时下拉选择自动生效。
| 字段名模式 | fieldTxt（中文名） | fieldType | isShow | isSearch | searchMode | isOrder | isTotal |
|---|---|---|---|---|---|---|---|
| id / 主键 | ID | String | 0（隐藏） | null | - | null | - |
| name / title | 名称/标题 | String | 1 | 1 | single | null | - |
| code / no | 编码/编号 | String | 1 | 1 | single | null | - |
| status | 状态 | String | 1 | 1 | single | null | - |
| type / category | 类型/分类 | String | 1 | 1 | single | null | - |
| amount / money / price / fee | 金额/费用/价格 | BigDecimal | 1 | null | - | 1 | "1" |
| count / qty / num / number | 数量 | Integer | 1 | null | - | 1 | "1" |
| date / sale_date | 日期 | Date | 1 | 1 | group | 1 | - |
| time / datetime | 时间 | Datetime | 1 | 1 | group | 1 | - |
| create_by / update_by | 创建人/更新人 | String | 0（隐藏） | null | - | null | - |
| create_time / update_time | 创建时间/更新时间 | Datetime | 1 | null | - | 1 | - |
| sex | 性别 | String | 1 | 1 | single | null | - |
| age |
parseSql 返回的 fieldType 通常是 String，AI 必须根据字段名语义修正为正确的类型（Date/Datetime/BigDecimal/Integer/Long/Image 等）。
isOrder/isSearch 为 null 表示"否"，不要用
0，否则可能影响前端展示。
普通字典（输入字典 code）：
sex、priority、valid_status、urgent_level、ynSQL 字典（查另一张表）：格式固定为 SELECT id 'value', name 'text' FROM table_name，字段别名必须是 value 和 text：
SELECT username AS value, realname AS text FROM sys_user
replaceVal 格式（导出时文本替换）：显示文本_数据库值 逗号分隔，例如 男_1,女_2
同一分组的多个字段设置相同的 groupTitle，可实现多级表头：
{"fieldName": "q1_amount", "groupTitle": "第一季度"}
{"fieldName": "q1_count", "groupTitle": "第一季度"}
支持以下语法：
| 用法 | 示例 |
|---|---|
| 跳转到菜单路径 | /system/user 或 /system/user?sex=1 |
| 跳转到 Vue 组件 | /jeecg/helloworld.vue?id=${id} |
| 跳转到外部链接 | http://jeecg.com?id=${id} |
| 动态参数（当前行字段值） | http://jeecg.com?sex=${sex} |
| JS 表达式（双花括号） | /account/center?name=${name}&age={{${age} + 100}} |
| 获取当前登录 Token | http://api.example.com?token={{ACCESS_TOKEN}} |
根据用户需求，确定：
editAll 使用 PUT 方法（非 POST）。
与新增类似，但需注意：
head.id = 现有报表 ID（必填）deleteItemIds = 要删除的字段 ID 逗号拼接deleteParamIds = 要删除的参数 ID 逗号拼接编辑时若需要替换参数（如从无参改为有参，或修改参数配置），步骤：
id（gen_id() 生成）和 headId（报表 ID）deleteParamIds 删除旧参数，params 传入新参数old_params = api_request(f'/online/cgreport/param/listByHeadId?headId={head_id}')['result']
delete_param_ids = ','.join(p['id'] for p in old_params) if old_params else None
new_params = [
{"id": gen_id(), "headId": head_id, "paramName": "log_type", "paramTxt": "日志类型", "paramValue": "1", "orderNum": 1}
]
payload = {
"head": {...},
"items": items,
"params": new_params,
"deleteParamIds": delete_param_ids # 有旧参数时必传，否则会重复
}
注意：editAll 的 params 中每条记录必须有
id和headId，否则保存后参数不生效。新增时（create_report）的 params 可以不带这两个字段。
在执行 API 前必须展示以下摘要，等待用户确认：
## Online 报表配置摘要
- 报表编码：sales_report
- 报表名称：销售统计报表
- 数据源：默认
- 目标环境：https://boot3.jeecg.com/jeecgboot
### SQL 语句
SELECT s.id, s.name, s.amount, s.sale_date, s.status
FROM biz_sales s WHERE 1=1
### 字段配置
| 序号 | 字段名 | 显示名称 | 类型 | 显示 | 查询 | 排序 | 合计 |
|------|--------|---------|------|------|------|------|------|
| 0 | id | ID | String | 否 | 否 | 否 | - |
| 1 | name | 名称 | String | 是 | 单值 | 否 | - |
| 2 | amount | 金额 | BigDecimal | 是 | 否 | 是 | 是 |
| 3 | sale_date | 销售日期 | Date | 是 | 范围 | 是 | - |
| 4 | status | 状态 | String | 是 | 单值 | 否 | - |
### 参数
| 参数名 | 显示名称 | 默认值 |
|--------|---------|--------|
| (无) | | |
确认以上配置？(y/n)
用户确认后执行。使用 Python 调用 API（Windows 环境下 curl 中文会出错）：
现象：Windows 的 Bash tool 会把 python / python -c / skill 脚本当作长命令自动 run_in_background，tool 立即返回 background ID，真正输出要等完成通知——把毫秒级调用放大到数秒。
规则：
powershell -Command "python xxx.py"，同步返回。python xxx.py。curl：跨平台不一致，Windows Bash 下同样被后台化。脚本执行前强制检查（3 项，缺一不可）：
powershell -Command "python xxx.py"，不是直接 python xxx.py.py 文件（禁止 python -c 内联代码）import sys; sys.stdout.reconfigure(encoding='utf-8')（防 GBK 崩溃重试）Windows 正确示例：
Bash: powershell -Command "python <skill_base_dir>/scripts/onlreport_api.py --api-base ... --token ..."
<skill_base_dir>是本 SKILL.md 所在目录，运行时用实际路径替换。
Windows 错误示例（会被后台化，用户立即感知到"卡"）：
Bash: python onlreport_api.py ... ← 返回 "Command running in background with ID: xxx"
Bash: python -c "..." ← 同上
Bash: curl -X POST ... ← 同上
调用方式：import onlreport_api，调用 init_api 初始化后直接使用封装函数，无需修改脚本文件。
import sys
sys.path.insert(0, r'<skill目录>/scripts')
from onlreport_api import init_api, parse_sql, create_report, gen_id
init_api('<api_base>', '<token>')
脚本中封装了以下操作：
查询类
list_reports() — 查询报表列表list_all_reports_table() — 查询所有报表（Markdown 表格，自动分页）list_fields_by_code_table(code) — 按编码查字段（Markdown 表格）query_report(head_id) — 查询报表头list_fields(head_id) — 查询字段列表list_params(head_id) — 查询参数列表get_report_id_by_code(code) — 按编码获取报表 IDparse_sql(sql, db_key) — 解析 SQL 字段创建 / 编辑
create_report(code, name, sql, db_source, items, params) — 创建报表，返回含 head_id 的 dictedit_report(...) — 编辑报表（PUT editAll）发布流程（高级语法糖，推荐优先使用）
validate_report(head_id) — 验证 SQL 是否可执行，返回 True/Falsepublish_report(head_id, name, role_code='admin', parent_id='') — 验证 SQL + 创建菜单 + 授权角色，三步合一create_and_publish(code, name, sql, items, params=[], db_source='', role_code='admin', parent_id='') — 全流程一键完成：创建报表 + 验证 + 建菜单 + 授权字段构建辅助
build_item(field_name, field_txt, ...) — 按字段名语义自动推断类型/查询/显示，支持手动覆盖任意属性菜单 & 权限
create_menu(head_id, name, parent_id='') — 创建报表菜单get_role_id_by_code(role_code) — 按角色编码获取角色 IDgrant_menu_to_role(role_id, menu_id) — 追加授权菜单给角色add_data_rule(menu_id, role_id, rule_name, rule_column, rule_conditions, rule_value) — 完整四步数据规则配置from onlreport_api import init_api, build_item, create_and_publish
init_api('<api_base>', '<token>')
items = [
build_item('id', 'ID', order_num=0), # 自动隐藏
build_item('username', '用户名', order_num=1), # 自动单值查询
build_item('status', '状态', order_num=2), # 自动 dictCode=valid
name: jeecg-onlreport description: Use when user asks to create/edit/query Online reports, SQL reports, data reports, or says "创建报表", "生成报表", "新建报表", "查询报表", "online报表", "SQL报表", "数据报表", "统计报表", "create report", "generate report", "data report". Also triggers when user describes report requirements like "做一个销售统计报表", mentions JeecgBoot cgreport/online report, or says "查看现有报表" / "列出所有报表". This skill handles Online 报表 (SQL-driven data display/reports), not Online forms (cgform) or designer forms (desform).
---
name: jeecg-onlreport
description: Use when user asks to create/edit/query Online reports, SQL reports, data reports, or says "创建报表", "生成报表", "新建报表", "查询报表", "online报表", "SQL报表", "数据报表", "统计报表", "create report", "generate report", "data report". Also triggers when user describes report requirements like "做一个销售统计报表", mentions JeecgBoot cgreport/online report, or says "查看现有报表" / "列出所有报表". This skill handles Online 报表 (SQL-driven data display/reports), not Online forms (cgform) or designer forms (desform).
---
# JeecgBoot Online 报表 AI 自动生成器
将自然语言描述的报表需求，转换为 Online 报表配置，并通过 API 自动创建/编辑/查询。
> **重要**：本 skill 处理「Online 报表」（SQL 驱动的只读数据报表），不涉及 Online 表单（cgform）或设计器表单（desform）。
## 核心能力
| 操作 | 说明 |
|------|------|
| **查询报表** | 列出系统中所有 Online 报表，查看字段和参数配置 |
| **新增报表** | 从自然语言需求或 SQL 创建报表 |
| **编辑报表** | 修改现有报表的字段、参数、SQL |
---
## Step 0: 收集凭证
**每次操作前必须收集以下信息**（如果用户已提供则跳过）：
1. **API 地址** — JeecgBoot 后端地址，如 `https://boot3.jeecg.com/jeecgboot`
2. **X-Access-Token** — JWT 令牌，从浏览器 F12 → Network → 任意请求的 Request Headers 中复制
用户未提供时提示：
> 请提供 JeecgBoot 后端地址和 X-Access-Token。
---
## Step 1: 判断操作类型
根据用户意图判断操作类型：
| 用户意图关键词 | 操作 |
|---------------|------|
| 列出报表 / 查询报表 / 查看所有报表 / 有哪些报表 | **查询报表** → Step 2 |
| 创建 / 新建 / 做一个 / 生成报表 | **新增报表** → Step 3 |
| 修改 / 编辑 / 改字段 / 加字段 / 删除字段 | **编辑报表** → Step 4 |
> ⚠️ **菜单挂载与角色授权为可选操作，不得默认执行：**
> - 用户只说"创建报表"→ 仅执行 `create_report` + `validate_report`，**不挂载菜单，不授权角色**
> - 用户明确说"挂载到菜单"、"绑定菜单"、"授权给 xxx 角色"等关键词 → 才调用 `publish_report` 或 `create_and_publish`
> - 违反此规则会导致：超出用户意图、产生不必要的菜单记录、因全量拉取权限列表而显著增加耗时
---
## Step 2: 查询报表
> **API 初始化（统一入口）**：所有 Python 操作前必须先调用 `init_api`，与 `desform_utils` 保持一致：
> ```python
> import sys
> sys.path.insert(0, r'<skill目录>/scripts')
> from onlreport_api import init_api
> init_api('<api_base>', '<token>')
> ```
> 后续按需导入：`list_all_reports_table`, `list_fields_by_code_table`, `list_reports`, `query_report`, `list_fields`, `list_params`, `parse_sql`, `create_report`, `edit_report`, `gen_id`, `create_menu`, `get_role_id_by_code`, `grant_menu_to_role`, `add_data_rule`, `query_data_rules`
### 2.1 快速列表（语法糖）
**首选方式**，调用 `list_all_reports_table()` 一次返回所有报表的名称/编码/SQL 表格，自动分页遍历：
```python
from onlreport_api import init_api, list_all_reports_table
init_api('<api_base>', '<token>')
list_all_reports_table()
```
返回 Markdown 表格，仅含三个字段（报表名称、报表编码、报表 SQL），方便 AI 直接使用：
```
| 报表名称 | 报表编码 | 报表 SQL |
|----------|----------|----------|
| 关联报表查询 | fz_sql | SELECT u.id, u.username ... |
| ... | ... | ... |
```
或通过 CLI：
```bash
python "<skill目录>/scripts/onlreport_api.py" \
--api-base <URL> --token <TOKEN> -a list-table
```
### 2.2 按编码查字段（语法糖）
**首选方式**，调用 `list_fields_by_code_table(code)` 直接通过报表编码查字段：
```python
from onlreport_api import init_api, list_fields_by_code_table
init_api('<api_base>', '<token>')
list_fields_by_code_table('fz_sql')
```
返回 Markdown 表格，仅含三个字段（字段编码、字段文本、字段类型），自动分页：
```
| 字段编码 | 字段文本(显示名) | 字段类型 |
|----------|-----------------|----------|
| id | ID | String |
| username | username | String |
| realname | realname | String |
```
或通过 CLI：
```bash
python "<skill目录>/scripts/onlreport_api.py" \
--api-base <URL> --token <TOKEN> -a fields-table --code fz_sql
```
底层 API：`GET /online/cgreport/item/listByHeadCode?headCode={code}`
### 2.3 查询报表详情
用户指定报表 ID 或编码后，依次查询：
```
GET /online/cgreport/head/queryById?id={headId} # 报表头配置
GET /online/cgreport/item/listByHeadId?headId={headId} # 字段列表
GET /online/cgreport/param/listByHeadId?headId={headId} # 参数列表
```
展示完整配置供用户参考，询问是否需要修改。
---
## Step 3: 新增报表
### 3.1 收集需求
从用户描述中提取：
| 信息 | 来源 | 示例 |
|------|------|------|
| 报表编码 (code) | 自动生成 snake_case | `sales_report` |
| 报表名称 (name) | 用户指定 | "销售统计报表" |
| SQL 语句 (cgrSql) | 用户提供 SQL 或描述需求 | `SELECT ... FROM ...` |
| 数据源 (dbSource) | 用户指定，空=默认 | `second_db` |
**创建前必须校验报表编码唯一性**，调用 `check_code_available(code)` 或直接调用接口：
```
GET /sys/duplicate/check?tableName=onl_cgreport_head&fieldName=code&fieldVal={code}
```
返回 `success: true` 表示编码可用，`false` 表示已被占用，需换一个。`create_report()` 内部已自动调用此校验。
**SQL 有两种来源：**
1. **用户直接提供 SQL** → 直接使用
2. **用户描述需求** → 需要用户确认表名和字段（调用 parseSql 验证）
### 3.2 调用 parseSql 解析字段
**必须先调用 parseSql 获取字段和参数列表：**
```
GET /online/cgreport/head/parseSql?sql={urlEncodedSql}&dbKey={dbKey}
```
返回结构：字段列表 `fields[]` 和参数列表 `params[]`。
> **为什么必须先调用 parseSql？** 因为 SQL 中的 `${paramName}` 会被解析为参数列表，字段列表是后续构造 items 配置的依据。
#### parseSql 失败处理
SQL 包含复杂函数（如 `name like concat('%','${username}','%')`）时会解析失败。解决方案：
1. 先将问题条件去掉，用简化 SQL 解析
2. 解析成功后，在 SQL 参数 tab 手工新增参数名（如 `username`，对应 `${username}`）
3. 最终保存时 cgrSql 使用完整的原始 SQL
### 3.3 智能字段配置
根据字段名语义，自动推导每个字段的配置。
#### 字段通用属性
> **searchMode 说明**：有效值只有 `single`（单值查询）和 `group`（范围查询）两种。String 类型的 `single` 查询在后端会自动执行 LIKE 模糊匹配；Date/Datetime 类型用 `group` 实现范围选择。有字典配置时下拉选择自动生效。
| 字段名模式 | fieldTxt（中文名） | fieldType | isShow | isSearch | searchMode | isOrder | isTotal |
|-----------|------------------|-----------|--------|----------|------------|---------|---------|
| id / 主键 | ID | String | **0**（隐藏） | null | - | null | - |
| name / title | 名称/标题 | String | 1 | 1 | `single` | null | - |
| code / no | 编码/编号 | String | 1 | 1 | `single` | null | - |
| status | 状态 | String | 1 | 1 | `single` | null | - |
| type / category | 类型/分类 | String | 1 | 1 | `single` | null | - |
| amount / money / price / fee | 金额/费用/价格 | BigDecimal | 1 | null | - | 1 | **"1"** |
| count / qty / num / number | 数量 | Integer | 1 | null | - | 1 | **"1"** |
| date / sale_date | 日期 | Date | 1 | 1 | `group` | 1 | - |
| time / datetime | 时间 | Datetime | 1 | 1 | `group` | 1 | - |
| create_by / update_by | 创建人/更新人 | String | **0**（隐藏） | null | - | null | - |
| create_time / update_time | 创建时间/更新时间 | Datetime | 1 | null | - | 1 | - |
| sex | 性别 | String | 1 | 1 | `single` | null | - |
| age | 年龄 | Integer | 1 | null | - | null | - |
| email | 邮箱 | String | 1 | null | - | null | - |
| phone / mobile / tel | 电话/手机号 | String | 1 | null | - | null | - |
| address | 地址 | String | 1 | null | - | null | - |
| remark / description / content | 备注/描述 | String | 1 | null | - | null | - |
| dept / org | 部门/组织 | String | 1 | 1 | `single` | null | - |
| sys_org_code / tenant_id | 系统字段 | String | **0**（隐藏） | null | - | null | - |
| 图片/附件字段 | 图片 | Image | 1 | null | - | null | - |
> **parseSql 返回的 fieldType 通常是 String**，AI 必须根据字段名语义修正为正确的类型（Date/Datetime/BigDecimal/Integer/Long/Image 等）。
>
> **isOrder/isSearch 为 null 表示"否"**，不要用 `0`，否则可能影响前端展示。
#### 字典配置 (dictCode)
**普通字典**（输入字典 code）：
- 常用系统字典：`sex`、`priority`、`valid_status`、`urgent_level`、`yn`
**SQL 字典**（查另一张表）：格式固定为 `SELECT id 'value', name 'text' FROM table_name`，字段别名必须是 `value` 和 `text`：
```sql
SELECT username AS value, realname AS text FROM sys_user
```
**replaceVal 格式**（导出时文本替换）：`显示文本_数据库值` 逗号分隔，例如 `男_1,女_2`
#### 分组表头 (groupTitle)
同一分组的多个字段设置相同的 groupTitle，可实现多级表头：
```json
{"fieldName": "q1_amount", "groupTitle": "第一季度"}
{"fieldName": "q1_count", "groupTitle": "第一季度"}
```
#### 字段跳转 (fieldHref)
支持以下语法：
| 用法 | 示例 |
|------|------|
| 跳转到菜单路径 | `/system/user` 或 `/system/user?sex=1` |
| 跳转到 Vue 组件 | `/jeecg/helloworld.vue?id=${id}` |
| 跳转到外部链接 | `http://jeecg.com?id=${id}` |
| 动态参数（当前行字段值） | `http://jeecg.com?sex=${sex}` |
| JS 表达式（双花括号） | `/account/center?name=${name}&age={{${age} + 100}}` |
| 获取当前登录 Token | `http://api.example.com?token={{ACCESS_TOKEN}}` |
---
## Step 4: 编辑报表
### 4.1 查询现有配置
1. 用户提供报表 ID 或编码
2. 依次调用 queryById、listByHeadId（字段）、listByHeadId（参数）
3. 展示现有配置
### 4.2 确认修改需求
根据用户需求，确定：
- 哪些字段需要修改 isShow/isSearch/orderNum 等
- 哪些字段需要新增或删除
- SQL 是否需要调整
### 4.3 构造 editAll 请求
editAll 使用 **PUT** 方法（非 POST）。
与新增类似，但需注意：
- `head.id` = 现有报表 ID（必填）
- `deleteItemIds` = 要删除的字段 ID 逗号拼接
- `deleteParamIds` = 要删除的参数 ID 逗号拼接
#### 替换参数的完整流程
编辑时若需要**替换参数**（如从无参改为有参，或修改参数配置），步骤：
1. 查询旧参数列表，收集所有旧参数 ID
2. 新参数对象必须包含 `id`（`gen_id()` 生成）和 `headId`（报表 ID）
3. 在 payload 中设置 `deleteParamIds` 删除旧参数，`params` 传入新参数
```python
old_params = api_request(f'/online/cgreport/param/listByHeadId?headId={head_id}')['result']
delete_param_ids = ','.join(p['id'] for p in old_params) if old_params else None
new_params = [
{"id": gen_id(), "headId": head_id, "paramName": "log_type", "paramTxt": "日志类型", "paramValue": "1", "orderNum": 1}
]
payload = {
"head": {...},
"items": items,
"params": new_params,
"deleteParamIds": delete_param_ids # 有旧参数时必传，否则会重复
}
```
> **注意**：editAll 的 params 中每条记录必须有 `id` 和 `headId`，否则保存后参数不生效。新增时（`create_report`）的 params 可以不带这两个字段。
---
## Step 5: 展示摘要并确认
**在执行 API 前必须展示以下摘要，等待用户确认：**
```
## Online 报表配置摘要
- 报表编码：sales_report
- 报表名称：销售统计报表
- 数据源：默认
- 目标环境：https://boot3.jeecg.com/jeecgboot
### SQL 语句
SELECT s.id, s.name, s.amount, s.sale_date, s.status
FROM biz_sales s WHERE 1=1
### 字段配置
| 序号 | 字段名 | 显示名称 | 类型 | 显示 | 查询 | 排序 | 合计 |
|------|--------|---------|------|------|------|------|------|
| 0 | id | ID | String | 否 | 否 | 否 | - |
| 1 | name | 名称 | String | 是 | 单值 | 否 | - |
| 2 | amount | 金额 | BigDecimal | 是 | 否 | 是 | 是 |
| 3 | sale_date | 销售日期 | Date | 是 | 范围 | 是 | - |
| 4 | status | 状态 | String | 是 | 单值 | 否 | - |
### 参数
| 参数名 | 显示名称 | 默认值 |
|--------|---------|--------|
| (无) | | |
确认以上配置？(y/n)
```
---
## Step 6: 调用 API
用户确认后执行。使用 Python 调用 API（Windows 环境下 curl 中文会出错）：
### Windows 执行环境（强制规则，违反会让用户吐槽"执行太慢"）
**现象**：Windows 的 Bash tool 会把 `python` / `python -c` / skill 脚本当作长命令自动 `run_in_background`，tool 立即返回 background ID，真正输出要等完成通知——把毫秒级调用放大到数秒。
**规则**：
- **Windows（platform=win32）** → 用 Bash tool 调用 `powershell -Command "python xxx.py"`，同步返回。
- **Linux / macOS** → 用 Bash tool 直接调用 `python xxx.py`。
- 任何平台都不用 `curl`：跨平台不一致，Windows Bash 下同样被后台化。
**脚本执行前强制检查（3 项，缺一不可）**：
1. ✅ Windows 下用 `powershell -Command "python xxx.py"`，不是直接 `python xxx.py`
2. ✅ 脚本已写入 `.py` 文件（禁止 `python -c` 内联代码）
3. ✅ 脚本第一行已加编码声明：`import sys; sys.stdout.reconfigure(encoding='utf-8')`（防 GBK 崩溃重试）
**Windows 正确示例**：
```
Bash: powershell -Command "python <skill_base_dir>/scripts/onlreport_api.py --api-base ... --token ..."
```
> `<skill_base_dir>` 是本 SKILL.md 所在目录，运行时用实际路径替换。
**Windows 错误示例**（会被后台化，用户立即感知到"卡"）：
```
Bash: python onlreport_api.py ... ← 返回 "Command running in background with ID: xxx"
Bash: python -c "..." ← 同上
Bash: curl -X POST ... ← 同上
```
---
**调用方式**：import `onlreport_api`，调用 `init_api` 初始化后直接使用封装函数，无需修改脚本文件。
```python
import sys
sys.path.insert(0, r'<skill目录>/scripts')
from onlreport_api import init_api, parse_sql, create_report, gen_id
init_api('<api_base>', '<token>')
```
脚本中封装了以下操作：
**查询类**
- `list_reports()` — 查询报表列表
- `list_all_reports_table()` — 查询所有报表（Markdown 表格，自动分页）
- `list_fields_by_code_table(code)` — 按编码查字段（Markdown 表格）
- `query_report(head_id)` — 查询报表头
- `list_fields(head_id)` — 查询字段列表
- `list_params(head_id)` — 查询参数列表
- `get_report_id_by_code(code)` — 按编码获取报表 ID
- `parse_sql(sql, db_key)` — 解析 SQL 字段
**创建 / 编辑**
- `create_report(code, name, sql, db_source, items, params)` — 创建报表，返回含 `head_id` 的 dict
- `edit_report(...)` — 编辑报表（PUT editAll）
**发布流程（高级语法糖，推荐优先使用）**
- `validate_report(head_id)` — 验证 SQL 是否可执行，返回 True/False
- `publish_report(head_id, name, role_code='admin', parent_id='')` — 验证 SQL + 创建菜单 + 授权角色，三步合一
- `create_and_publish(code, name, sql, items, params=[], db_source='', role_code='admin', parent_id='')` — **全流程一键完成**：创建报表 + 验证 + 建菜单 + 授权
**字段构建辅助**
- `build_item(field_name, field_txt, ...)` — 按字段名语义自动推断类型/查询/显示，支持手动覆盖任意属性
**菜单 & 权限**
- `create_menu(head_id, name, parent_id='')` — 创建报表菜单
- `get_role_id_by_code(role_code)` — 按角色编码获取角色 ID
- `grant_menu_to_role(role_id, menu_id)` — 追加授权菜单给角色
- `add_data_rule(menu_id, role_id, rule_name, rule_column, rule_conditions, rule_value)` — 完整四步数据规则配置
---
### build_item 用法示例（推荐，替代手写 dict）
```python
from onlreport_api import init_api, build_item, create_and_publish
init_api('<api_base>', '<token>')
items = [
build_item('id', 'ID', order_num=0), # 自动隐藏
build_item('username', '用户名', order_num=1), # 自动单值查询
build_item('status', '状态', order_num=2), # 自动 dictCode=validSkill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: Apache-2.0
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
64/100
Promising
Trust
56/100
Do not auto-install
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"risk_blocked": 0,
"setup_required": 0,
"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"research",
"agent-skill"
],
"known_risks": [
"The skill uses a placeholder `<skill目录>` in code examples, which may cause confusion if not replaced with actual path.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 71,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"The skill uses a placeholder `<skill目录>` in code examples, which may cause confusion if not replaced with actual path.",
"No explicit handling of token expiration or API errors is described in SKILL.md.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 64,
"label": "Promising"
},
"supply": {
"track": "Research and knowledge work",
"scenario": "Research agents",
"maintenance": "2mo since push",
"risk": "Needs review"
},
"alternative_skills": [
{
"slug": "yanliudesign-mono-color-skill",
"name": "mono-color",
"url": "https://www.openagentskill.com/skills/yanliudesign-mono-color-skill",
"stars": 1919,
"install_command": "npx skills add yanliudesign/mono-color-skill --skill mono-color",
"trust_score": 85,
"audit_score": 93
}
],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"The skill uses a placeholder `<skill目录>` in code examples, which may cause confusion if not replaced with actual path.",
"No OpenAgentSkill engagement data yet",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"No explicit handling of token expiration or API errors is described in SKILL.md."
],
"agent_contract": {
"task_input": "Use jeecg-onlreport in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 64/100 Manual review",
"Audit: 71/100 Needs review",
"Safety: 23/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "jeecgboot-jeecg-onlreport (jeecg-onlreport)",
"install_command": "npx skills add jeecgboot/skills --skill jeecg-onlreport",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "jeecgboot-jeecg-onlreport",
"task": "Use jeecg-onlreport in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/jeecgboot-jeecg-onlreport",
"api": "https://www.openagentskill.com/api/agent/skills/jeecgboot-jeecg-onlreport",
"audit": "https://www.openagentskill.com/skills/jeecgboot-jeecg-onlreport/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=jeecgboot-jeecg-onlreport&task=Use%20jeecg-onlreport%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20jeecg-onlreport%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20jeecg-onlreport%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/jeecgboot-jeecg-onlreport/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/jeecgboot-jeecg-onlreport"
}
}Listing source
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| 年龄 |
| Integer |
| 1 |
| null |
| - |
| null |
| - |
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| phone / mobile / tel | 电话/手机号 | String | 1 | null | - | null | - |
| address | 地址 | String | 1 | null | - | null | - |
| remark / description / content | 备注/描述 | String | 1 | null | - | null | - |
| dept / org | 部门/组织 | String | 1 | 1 | single | null | - |
| sys_org_code / tenant_id | 系统字段 | String | 0（隐藏） | null | - | null | - |
| 图片/附件字段 | 图片 | Image | 1 | null | - | null | - |
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Audit
71/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.