功能修复: 1. 患者创建空名称验证:后端添加 name.trim().is_empty() 检查 2. 仪表盘统计容错:单个查询失败返回零值而非 500 3. FHIR 路由修复:从 /fhir 移到 /api/v1/fhir 保持一致 4. 冻结模块后端中间件:新增 frozen_module_middleware 拦截冻结路径 5. 积分端点权限码:health.health-data.list → health.points.list 6. 角色权限迁移:护士补充 devices.list,运营补充 points.list/manage 7. 测试结果文档:R01-R05 角色测试 + T00/T10 结果归档 Clippy 全 workspace 清零(14→0 errors): - erp-core: 修复 empty doc line、collapsible if、redundant closure 等 9 处 - erp-health: 修复 too_many_arguments、unused var、unnecessary parens 等 58 处 - erp-ai: 修复 dead_code、unused import 等 11 处 - erp-plugin: 修复 too_many_arguments、wildcard pattern 等 11 处 - erp-server-migration: 修复 enum_variant_names 5 处 - erp-auth/config/workflow/message: 各 1-3 处 工程改进: - lint-staged 配置迁移到 .lintstagedrc.js(函数式避免文件列表传给 clippy) - cargo fmt 统一格式化
155 lines
3.9 KiB
Rust
155 lines
3.9 KiB
Rust
use async_trait::async_trait;
|
||
use serde::{Deserialize, Serialize};
|
||
use uuid::Uuid;
|
||
|
||
use crate::error::AppResult;
|
||
|
||
/// 健康数据提供者 trait,由 erp-health 实现
|
||
/// 返回的 DTO 已脱去 PII(姓名、身份证号等),只包含年龄/性别/医疗数据
|
||
#[async_trait]
|
||
pub trait HealthDataProvider: Send + Sync {
|
||
/// 获取化验报告(指标列表)
|
||
async fn get_lab_report(&self, tenant_id: Uuid, report_id: Uuid) -> AppResult<LabReportDto>;
|
||
|
||
/// 获取生命体征趋势数据
|
||
async fn get_vital_signs(
|
||
&self,
|
||
tenant_id: Uuid,
|
||
patient_id: Uuid,
|
||
metrics: &[String],
|
||
range: &TimeRange,
|
||
) -> AppResult<Vec<VitalSignDto>>;
|
||
|
||
/// 获取患者摘要(用于个性化方案)
|
||
async fn get_patient_summary(
|
||
&self,
|
||
tenant_id: Uuid,
|
||
patient_id: Uuid,
|
||
) -> AppResult<PatientSummaryDto>;
|
||
|
||
/// 获取完整健康报告(用于摘要生成)
|
||
async fn get_full_report(&self, tenant_id: Uuid, report_id: Uuid)
|
||
-> AppResult<HealthReportDto>;
|
||
|
||
/// 获取趋势分析预计算数据(统计摘要 + 异常检测)
|
||
async fn get_trend_analysis_data(
|
||
&self,
|
||
tenant_id: Uuid,
|
||
patient_id: Uuid,
|
||
metrics: &[String],
|
||
range: &TimeRange,
|
||
) -> AppResult<TrendAnalysisDto>;
|
||
}
|
||
|
||
// === DTO 定义 ===
|
||
|
||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||
pub struct TimeRange {
|
||
pub start: chrono::DateTime<chrono::Utc>,
|
||
pub end: chrono::DateTime<chrono::Utc>,
|
||
}
|
||
|
||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||
pub struct LabReportDto {
|
||
pub age_group: String,
|
||
pub sex: String,
|
||
pub department: String,
|
||
pub report_date: String,
|
||
pub items: Vec<LabItemDto>,
|
||
}
|
||
|
||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||
pub struct LabItemDto {
|
||
pub name: String,
|
||
pub value: f64,
|
||
pub unit: String,
|
||
pub reference_range: String,
|
||
pub is_abnormal: bool,
|
||
}
|
||
|
||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||
pub struct VitalSignDto {
|
||
pub metric: String,
|
||
pub values: Vec<(String, f64)>,
|
||
pub unit: String,
|
||
}
|
||
|
||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||
pub struct PatientSummaryDto {
|
||
pub age_group: String,
|
||
pub sex: String,
|
||
pub chronic_conditions: Vec<String>,
|
||
pub medications: Vec<String>,
|
||
pub family_history: Vec<String>,
|
||
pub last_checkup_date: String,
|
||
}
|
||
|
||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||
pub struct HealthReportDto {
|
||
pub age_group: String,
|
||
pub sex: String,
|
||
pub department: String,
|
||
pub report_date: String,
|
||
pub sections: Vec<ReportSectionDto>,
|
||
}
|
||
|
||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||
pub struct ReportSectionDto {
|
||
pub title: String,
|
||
pub findings: Vec<String>,
|
||
pub abnormal_items: Vec<String>,
|
||
}
|
||
|
||
// === 趋势分析 DTO ===
|
||
|
||
/// 趋势方向
|
||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||
#[serde(rename_all = "lowercase")]
|
||
pub enum TrendDirection {
|
||
Rising,
|
||
Falling,
|
||
Stable,
|
||
}
|
||
|
||
/// 趋势分析整体 DTO
|
||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||
pub struct TrendAnalysisDto {
|
||
pub patient_id: Uuid,
|
||
pub period_start: String,
|
||
pub period_end: String,
|
||
pub metrics: Vec<MetricTrendAnalysis>,
|
||
}
|
||
|
||
/// 单个指标的趋势分析结果
|
||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||
pub struct MetricTrendAnalysis {
|
||
pub metric: String,
|
||
pub unit: String,
|
||
pub data_point_count: usize,
|
||
/// 线性回归统计(数据不足时为 None)
|
||
pub regression: Option<RegressionStats>,
|
||
/// 检测到的异常点
|
||
pub anomalies: Vec<AnomalyInfo>,
|
||
}
|
||
|
||
/// 线性回归统计摘要
|
||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||
pub struct RegressionStats {
|
||
pub slope: f64,
|
||
pub intercept: f64,
|
||
pub r_squared: f64,
|
||
pub direction: TrendDirection,
|
||
pub daily_change: f64,
|
||
pub period_change: f64,
|
||
}
|
||
|
||
/// 异常点信息
|
||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||
pub struct AnomalyInfo {
|
||
pub date: String,
|
||
pub value: f64,
|
||
pub mean: f64,
|
||
pub std_dev: f64,
|
||
pub deviation: f64,
|
||
}
|