feat(mcp): hardware.statistics.query 按物业统计设备数/在线/故障/离线
背景:CRM 经营画像需要"每客户设备数、离线数"。当前做法同步 devices 全量 (71,034 行,抽样 1000 台仅 13 台绑定物业,其余 property_id="0"),代价远大于收益。 本工具直接返回聚合结果: - 入参 propertyId 或 propertyIds(≤20,去重),includeUnbound 默认 false - 返回每物业 total/online/fault/offline + data_cutoff_at + notice - 口径与 hardware.list.query 一致:hardware_view、soft_delete=0、status 1/2/3 - 行级权限复用 PermissionService.applyHardwareRowFilter - 每物业 4 次 selectCount(项目未注册分页拦截器;无 clone 先例,重建 wrapper) 测试:DeviceStatisticsToolsTest 5 例(参数校验/超限/计数/权限调用/去重)全过。 设计文档:doc/hardware-statistics-query-mcp-tool-design.md(含待评审三问)。
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# hardware.statistics.query · MCP 工具设计
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> 状态:待评审(评审通过后回写追加决策)
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> 关联:CRM 客户经营画像 v1.1「设备台数 / 设备离线」因子
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> 日期:2026-10-20
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## 1. 背景
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CRM 经营画像需要"某客户有几台设备、几台离线",用于:
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- 价值分因子「设备台数」;
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- 风险分因子「设备异常(离线占比)」。
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当前下游做法是同步 `devices.changes.list`(`m0.hardware_view` 全量)后在 CRM 侧聚合,实测问题:
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| 问题 | 数据 |
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|---|---|
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| 未绑定物业的设备占绝大多数 | 抽样 1000 台,`property_id != 0` 的仅 **13 台(1.3%)**;未绑定用字符串 `"0"` 表示(不是空串) |
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| 全量 71,034 行 | 同步 98.7% 无效行,占磁盘、拖慢同步 |
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| 下游还要自己维护投影表 | 与"只读查询"的定位不符 |
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结论:下游只需要统计值,应由 MCP 直接提供聚合结果。
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## 2. 老系统行为与坑
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| 项 | 结论 |
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|---|---|
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| 老接口 | `hardware/listByPage`(`HardwareTools.hardware.list.query` 已对齐),支持 `propertyId` / `districtId` / `status` / `online` 过滤并返回 `total` |
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| 无现成统计接口 | 工具目录 60 个工具中**没有**站点设备数统计工具;`district.paper.statistics.query` 只统计用纸(米/人次/换纸卷数),不含设备数 |
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| 数据源 | `m0.hardware_view` 是**当前状态视图**,无历史 → 统计只反映调用时刻 |
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| 状态枚举 | `status`:1=在线 2=故障 3=离线;`soft_delete=0` 为有效行 |
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| 未绑定表示 | `property_id = 0`(字符串/数值零),不是空 |
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## 3. 决策表
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| 决策 | 选择 | 备选 | 理由 |
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|---|---|---|---|
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| 工具名 | `hardware.statistics.query` | `device.statistics.query` / `hardware.count.query` | 与既有 `hardware.*`、`district.paper.statistics.query` 命名一致 |
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| 入参 | `propertyId`(单个)或 `propertyIds`(≤20) | 全租户一次返回 | 下游按客户查询;全量返回等于把聚合成本转给调用方,且无分页语义 |
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| 默认是否含未绑定 | **不含**(`includeUnbound=false`) | 含 | 未绑定无法归属客户,计入会污染"客户设备数" |
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| 返回结构 | `items[]` 每物业一行:`total/online/fault/offline` + `data_cutoff_at` + `notice` | 只返回四个总数 | 下游需要多客户时一次拿全 |
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| 权限 | 复用 `PermissionService.applyHardwareRowFilter` | 新写过滤逻辑 | 与 `hardware.list.query` 完全一致,避免第二套权限口径 |
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| 查询方式 | 每个物业 4 次 `selectCount` | 单条 `GROUP BY` | 项目未注册分页拦截器;`LambdaQueryWrapper` 无 clone 先例,重建 wrapper 更安全。20 物业 = 80 次轻量 count,可接受 |
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## 4. 参数契约
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| 参数 | 类型 | 必填 | 说明 |
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|---|---|---|---|
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| `propertyId` | Long | 否(与 propertyIds 二选一) | 物业 id,正整数 |
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| `propertyIds` | Long[] | 否 | 物业 id 列表,上限 20;重复值去重 |
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| `includeUnbound` | Boolean | 否 | 默认 false;true 时计入 `property_id = 0` 的设备 |
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校验:两者至少提供一个;id 必须为正;数量 ≤ 20;否则 `IllegalArgumentException`。
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## 5. 返回契约
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```json
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{
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"items": [
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{"property_id": 17, "total": 10, "online": 6, "fault": 2, "offline": 2}
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],
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"data_cutoff_at": "2026-10-20T08:40:00Z",
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"notice": "数据源为 hardware_view 当前状态视图,仅反映调用时刻;未绑定物业设备未计入"
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}
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```
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## 6. 与老系统差异
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- 老系统无对应统计接口(只有分页列表 + total);本工具是其聚合封装,口径一致(同一张视图、同一套 status 枚举、同一套行级权限)。
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- 不返回设备明细,避免下游误当列表用。
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## 7. 测试要点
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| # | 用例 |
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|---|---|
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| 1 | 未提供 propertyId / propertyIds → 报错 |
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| 2 | 非正整数 / 超过 20 个 → 报错 |
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| 3 | 单物业 → 4 个计数正确、返回 `data_cutoff_at` |
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| 4 | 每个计数都调用行级权限过滤 |
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| 5 | propertyIds 重复值去重 |
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## 8. 待评审确认
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1. 是否同意"默认排除未绑定设备"?
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2. 单次上限 20 个物业是否合适?
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3. 是否需要同时返回 `district_id` 维度(当前只按物业)?
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package me.iiv.agent.mcp.tool;
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import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
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import me.iiv.agent.entity.m0.HardwareView;
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import me.iiv.agent.entity.m0.User;
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import me.iiv.agent.mapper.m0.HardwareViewMapper;
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import me.iiv.agent.mcp.ToolObject;
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import me.iiv.agent.mcp.XqTool;
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import me.iiv.agent.permission.PermissionService;
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import me.iiv.agent.security.AuthContextHolder;
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import org.springframework.ai.tool.annotation.Tool;
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import org.springframework.ai.tool.annotation.ToolParam;
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import org.springframework.stereotype.Component;
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import java.time.Instant;
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import java.util.ArrayList;
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import java.util.LinkedHashMap;
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import java.util.List;
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import java.util.Map;
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/**
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* 按物业统计出纸机数量(总数 / 在线 / 故障 / 离线)。
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*
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* <p>为什么需要它:下游(CRM 经营画像)只需要"某客户有几台设备、几台离线",
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* 如果为此同步整张 hardware_view(7 万行,其中 98% 未绑定物业),代价远大于收益。
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* 本工具一次调用直接给出统计结果,下游按客户查询 + 缓存即可。</p>
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*
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* <p>口径与 hardware.list.query 完全一致:
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* <ul>
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* <li>数据源 m0.hardware_view(当前状态视图,非历史);</li>
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* <li>status:1=在线 2=故障 3=离线;</li>
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* <li>soft_delete=0;</li>
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* <li>行级权限复用 {@link PermissionService#applyHardwareRowFilter};</li>
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* <li>默认排除未绑定物业设备(property_id=0),可用 includeUnbound 打开。</li>
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* </ul></p>
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*/
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@Component
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public class DeviceStatisticsTools implements ToolObject {
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/** 单次最多统计 20 个物业,避免一次请求打出上百条 count 查询。 */
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private static final int MAX_PROPERTIES = 20;
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final HardwareViewMapper hardwareViewMapper;
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final PermissionService permissionService;
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public DeviceStatisticsTools(HardwareViewMapper hardwareViewMapper, PermissionService permissionService) {
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this.hardwareViewMapper = hardwareViewMapper;
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this.permissionService = permissionService;
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}
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@XqTool(category = "hardware", kind = "read")
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@Tool(name = "hardware.statistics.query", description = "按物业统计出纸机数量:总数、在线、故障、离线。"
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+ "一次最多统计 20 个物业(propertyId 与 propertyIds 二选一);"
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+ "默认排除未绑定物业的设备(property_id=0),includeUnbound=true 时计入。"
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+ "数据来源 m0.hardware_view 当前状态视图,仅反映调用时刻,不是历史统计。"
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+ "行级权限与 hardware.list.query 一致(当前用户可见范围)。")
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public Map<String, Object> hardwareStatisticsQuery(
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@ToolParam(required = false, description = "物业 id,正整数;与 propertyIds 二选一") Long propertyId,
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@ToolParam(required = false, description = "物业 id 列表,上限 20 个") List<Long> propertyIds,
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@ToolParam(required = false, description = "是否统计未绑定物业的设备,默认 false") Boolean includeUnbound) {
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validatePositive(propertyId, "propertyId");
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List<Long> targets = new ArrayList<>();
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if (propertyId != null) {
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targets.add(propertyId);
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}
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if (propertyIds != null) {
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for (Long id : propertyIds) {
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validatePositive(id, "propertyIds");
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if (id != null && !targets.contains(id)) {
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targets.add(id);
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}
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}
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}
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if (targets.isEmpty()) {
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throw new IllegalArgumentException("propertyId 或 propertyIds 至少提供一个");
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}
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if (targets.size() > MAX_PROPERTIES) {
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throw new IllegalArgumentException("一次最多统计 " + MAX_PROPERTIES + " 个物业");
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}
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boolean withUnbound = Boolean.TRUE.equals(includeUnbound);
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User user = AuthContextHolder.get().getUser();
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List<Map<String, Object>> items = new ArrayList<>(targets.size());
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for (Long target : targets) {
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Map<String, Object> row = new LinkedHashMap<>();
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row.put("property_id", target);
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// 每个计数重建 wrapper:项目内没有 clone() 使用先例,避免依赖未验证的克隆语义。
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row.put("total", countFor(user, target, withUnbound, null));
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row.put("online", countFor(user, target, withUnbound, 1));
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row.put("fault", countFor(user, target, withUnbound, 2));
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row.put("offline", countFor(user, target, withUnbound, 3));
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items.add(row);
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}
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Map<String, Object> result = new LinkedHashMap<>();
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result.put("items", items);
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result.put("data_cutoff_at", Instant.now().toString());
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result.put("notice", "数据源为 hardware_view 当前状态视图,仅反映调用时刻;未绑定物业设备"
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+ (withUnbound ? "已计入" : "未计入"));
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return result;
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}
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/** 统计某物业在指定状态下的设备数;status 为 null 表示不按状态过滤。 */
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private Long countFor(User user, Long target, boolean withUnbound, Integer status) {
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LambdaQueryWrapper<HardwareView> wrapper = new LambdaQueryWrapper<HardwareView>()
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.eq(HardwareView::getSoftDelete, 0)
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.eq(HardwareView::getPropertyId, target);
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if (!withUnbound) {
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wrapper.gt(HardwareView::getPropertyId, 0);
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}
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if (status != null) {
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wrapper.eq(HardwareView::getStatus, status);
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}
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permissionService.applyHardwareRowFilter(wrapper, user);
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return hardwareViewMapper.selectCount(wrapper);
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}
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private static void validatePositive(Long value, String name) {
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if (value != null && value < 1) {
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throw new IllegalArgumentException(name + " 必须为正整数");
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}
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}
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}
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+114
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package me.iiv.agent.mcp.tool;
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import com.baomidou.mybatisplus.core.MybatisConfiguration;
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import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
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import com.baomidou.mybatisplus.core.metadata.TableInfoHelper;
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import me.iiv.agent.entity.m0.HardwareView;
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import me.iiv.agent.entity.m0.User;
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import me.iiv.agent.mapper.m0.HardwareViewMapper;
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import me.iiv.agent.permission.PermissionService;
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import me.iiv.agent.security.AuthContext;
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import me.iiv.agent.security.AuthContextHolder;
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import org.apache.ibatis.builder.MapperBuilderAssistant;
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import org.junit.jupiter.api.AfterEach;
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import org.junit.jupiter.api.BeforeEach;
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import org.junit.jupiter.api.Test;
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import org.junit.jupiter.api.extension.ExtendWith;
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import org.mockito.Mock;
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import org.mockito.junit.jupiter.MockitoExtension;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Map;
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import static org.junit.jupiter.api.Assertions.assertEquals;
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import static org.junit.jupiter.api.Assertions.assertThrows;
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import static org.junit.jupiter.api.Assertions.assertTrue;
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import static org.mockito.ArgumentMatchers.any;
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import static org.mockito.Mockito.times;
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import static org.mockito.Mockito.verify;
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import static org.mockito.Mockito.when;
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/** hardware.statistics.query:参数校验 / 计数口径 / 权限过滤调用。 */
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@ExtendWith(MockitoExtension.class)
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class DeviceStatisticsToolsTest {
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@Mock
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HardwareViewMapper hardwareViewMapper;
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@Mock
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PermissionService permissionService;
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DeviceStatisticsTools tools;
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@BeforeEach
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void setUp() {
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TableInfoHelper.initTableInfo(new MapperBuilderAssistant(new MybatisConfiguration(), ""), HardwareView.class);
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tools = new DeviceStatisticsTools(hardwareViewMapper, permissionService);
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User user = new User();
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user.setId(7L);
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AuthContextHolder.set(new AuthContext(null, user));
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}
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@AfterEach
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void tearDown() {
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AuthContextHolder.clear();
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}
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@Test
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void rejectsRequestWithoutAnyProperty() {
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IllegalArgumentException error = assertThrows(IllegalArgumentException.class,
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() -> tools.hardwareStatisticsQuery(null, null, false));
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assertTrue(error.getMessage().contains("至少提供"));
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}
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@Test
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void rejectsNonPositivePropertyId() {
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assertThrows(IllegalArgumentException.class,
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() -> tools.hardwareStatisticsQuery(0L, null, false));
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}
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@Test
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void rejectsMoreThanTwentyProperties() {
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List<Long> ids = new ArrayList<>();
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for (long i = 1; i <= 21; i++) {
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ids.add(i);
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}
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IllegalArgumentException error = assertThrows(IllegalArgumentException.class,
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() -> tools.hardwareStatisticsQuery(null, ids, false));
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assertTrue(error.getMessage().contains("20"));
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}
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@Test
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@SuppressWarnings("unchecked")
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void returnsFourCountsPerPropertyAndAppliesRowFilter() {
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// 依次返回 total/online/fault/offline
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when(hardwareViewMapper.selectCount(any(LambdaQueryWrapper.class)))
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.thenReturn(10L, 6L, 2L, 2L);
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Map<String, Object> result = tools.hardwareStatisticsQuery(17L, null, false);
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List<Map<String, Object>> items = (List<Map<String, Object>>) result.get("items");
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assertEquals(1, items.size());
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Map<String, Object> row = items.get(0);
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assertEquals(17L, row.get("property_id"));
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assertEquals(10L, row.get("total"));
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assertEquals(6L, row.get("online"));
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assertEquals(2L, row.get("fault"));
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assertEquals(2L, row.get("offline"));
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assertTrue(result.containsKey("data_cutoff_at"));
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// 总/在线/故障/离线 各一次查询 = 4 次,且每次都过行级权限
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verify(permissionService, times(4)).applyHardwareRowFilter(any(LambdaQueryWrapper.class), any(User.class));
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}
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@Test
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void deduplicatesPropertyIdsAndAcceptsList() {
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when(hardwareViewMapper.selectCount(any(LambdaQueryWrapper.class))).thenReturn(1L);
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Map<String, Object> result = tools.hardwareStatisticsQuery(null, List.of(17L, 17L), false);
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@SuppressWarnings("unchecked")
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List<Map<String, Object>> items = (List<Map<String, Object>>) result.get("items");
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assertEquals(1, items.size(), "重复物业只统计一次");
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}
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}
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