Rust编写中医丹方实例的方法
在Rust中管理中医丹方数据,可采用结构体建模配方信息,配合枚举类型处理药材属性。以下展示核心实现模式和典型示例:
药材与配方结构设计
// 药材属性枚举
pub enum HerbProperty {
Temperature(Temperature), // 寒热温凉
Taste(Taste), // 五味
Meridian(Meridian), // 归经
}
// 丹方结构体
pub struct Prescription {
name: String,
components: Vec<Component>,
dosage: String,
indications: Vec<String>,
contraindications: Option<Vec<String>>,
}
// 组成成分
pub struct Component {
herb: String,
weight: f32,
processing: Option<String>,
}
典型实例实现(四物汤)
pub fn si_wu_tang() -> Prescription {
Prescription {
name: "四物汤".to_string(),
components: vec![
Component {
herb: "熟地黄".to_string(),
weight: 12.0,
processing: Some("酒蒸".to_string()),
},
Component {
herb: "当归".to_string(),
weight: 10.0,
processing: None,
},
Component {
herb: "白芍".to_string(),
weight: 8.0,
processing: None,
},
Component {
herb: "川芎".to_string(),
weight: 6.0,
processing: None,
},
],
dosage: "每日一剂,分两次温服".to_string(),
indications: vec![
"血虚萎黄".to_string(),
"月经不调".to_string(),
],
contraindications: Some(vec![
"阴虚火旺者慎用".to_string(),
]),
}
}
数据持久化方案
采用Serde进行JSON序列化:
use serde::{Serialize, Deserialize};
#[derive(Serialize, Deserialize)]
struct PrescriptionArchive {
prescriptions: Vec<Prescription>,
}
fn save_to_file(data: &PrescriptionArchive, path: &str) -> std::io::Result<()> {
let json = serde_json::to_string_pretty(data)?;
std::fs::write(path, json)
}
典型配方类别示例
- 补益剂:六味地黄丸、归脾汤
- 解表剂:麻黄汤、桂枝汤
- 清热剂:白虎汤、黄连解毒汤
- 祛湿剂:五苓散、平胃散
- 理血剂:血府逐瘀汤、补阳还五汤
完整实现应包含:
- 药材数据库构建
- 配伍禁忌检查
- 剂量换算系统
- 煎煮方法说明
- 临床适应症查询
注意:实际应用需结合中医理论知识验证配方有效性,此处仅为数据结构演示。完整项目建议采用模块化设计,分离数据层、业务逻辑层和接口层。
基于Rust语言的六味地黄丸实例
以下是一些基于Rust语言的六味地黄丸实例,涵盖不同应用场景和功能实现:
基本结构定义
struct LiuWeiDiHuangWan {
shu_di_huang: f64,
shan_zhu_yu: f64,
shan_yao: f64,
ze_xie: f64,
mu_dan_pi: f64,
fu_ling: f64,
}
impl LiuWeiDiHuangWan {
fn new() -> Self {
LiuWeiDiHuangWan {
shu_di_huang: 24.0,
shan_zhu_yu: 12.0,
shan_yao: 12.0,
ze_xie: 9.0,
mu_dan_pi: 9.0,
fu_ling: 9.0,
}
}
}
剂量计算
fn calculate_dose(&self, weight: f64) -> f64 {
let total = self.shu_di_huang + self.shan_zhu_yu + self.shan_yao
+ self.ze_xie + self.mu_dan_pi + self.fu_ling;
total * weight / 60.0
}
副作用检查
fn check_side_effects(&self, patient_condition: &str) -> bool {
match patient_condition {
"阴虚" => false,
"阳虚" => true,
_ => false,
}
}
序列化/反序列化
#[derive(Serialize, Deserialize)]
struct LiuWeiDiHuangWanJson {
ingredients: Vec<(String, f64)>,
}
生产批次管理
struct ProductionBatch {
batch_number: String,
production_date: chrono::NaiveDate,
expiry_date: chrono::NaiveDate,
pills: Vec<LiuWeiDiHuangWan>,
}
质量检测
trait QualityCheck {
fn test_purity(&self) -> f64;
fn test_potency(&self) -> f64;
}
impl QualityCheck for LiuWeiDiHuangWan {
fn test_purity(&self) -> f64 {
// 模拟纯度检测
0.98
}
fn test_potency(&self) -> f64 {
// 模拟效价检测
0.95
}
}
患者用药记录
struct PatientRecord {
patient_id: u64,
prescriptions: Vec<Prescription>,
}
struct Prescription {
medicine: LiuWeiDiHuangWan,
dosage: f64,
duration: u32,
}
药材采购系统
enum HerbQuality {
GradeA,
GradeB,
GradeC,
}
struct HerbPurchase {
name: String,
quality: HerbQuality,
price: f64,
quantity: f64,
}
自动化生产
fn automated_production(quantity: u32) -> Vec<LiuWeiDiHuangWan> {
(0..quantity).map(|_| LiuWeiDiHuangWan::new()).collect()
}
药物交互检查
fn check_interaction(other_drug: &str) -> Option<&'static str> {
let interactions = hashmap! {
"麻黄" => "可能降低疗效",
"附子" => "可能增加毒性",
};
interactions.get(other_drug).copied()
}
Rust在中药制剂管理
以上示例展示了Rust在中药制剂管理中的多种应用方式,从基本数据结构到业务逻辑实现。实际开发中可根据需求扩展更多功能模块。
以下是为中药制剂管理场景设计的Rust应用示例的精选分类及核心实现思路,涵盖数据处理、算法优化和系统开发:
药材库存管理
// 示例1:药材批次追踪
struct HerbBatch {
id: String,
name: String,
source: String,
expiry: NaiveDate,
quantity: f64
}
impl HerbBatch {
pub fn is_expired(&self) -> bool {
self.expiry < Local::now().date_naive()
}
}
// 示例2:库存预警系统
fn check_inventory(batches: &[HerbBatch]) -> Vec<Alert> {
batches.iter()
.filter(|b| b.quantity < MIN_STOCK || b.is_expired())
.map(|b| Alert::new(b.id.clone()))
.collect()
}
配方处理系统
// 示例3:智能配方匹配
fn match_prescription(patient: &Patient, formulas: &[Formula]) -> Option<Formula> {
formulas.iter()
.find(|f| f.symptoms.iter().all(|s| patient.symptoms.contains(s)))
.cloned()
}
// 示例4:剂量计算引擎
fn calculate_dose(weight: f64, formula: &Formula) -> f64 {
(weight * formula.base_dose).max(formula.min_dose).min(formula.max_dose)
}
质量检测模块
// 示例5:光谱数据分析
fn analyze_spectrum(data: &[f64]) -> PurityResult {
let mean = statistical_mean(data);
let std_dev = standard_deviation(data);
PurityResult { mean, std_dev }
}
// 示例6:微生物检测
fn microbial_test(sample: &Sample) -> Result<(), Contamination> {
sample.tests.iter()
.find(|t| t.count > MAX_ALLOWED)
.map_or(Ok(()), |_| Err(Contamination))
}
生产流程控制
// 示例7:自动化生产调度
fn schedule_production(orders: &[Order]) -> Vec<ProductionSlot> {
let mut slots = Vec::with_capacity(orders.len());
let mut timeline = Timeline::new();
for order in orders {
let duration = calculate_duration(order);
slots.push(timeline.schedule(order.id, duration));
}
slots
}
// 示例8:温度监控
struct ExtractionProcess {
temp_log: VecDeque<f64>,
max_temp: f64
}
impl ExtractionProcess {
fn check_temperature(&mut self, current: f64) -> Result<(), Overheat> {
self.temp_log.push_back(current);
if self.temp_log.len() > 10 {
self.temp_log.pop_front();
}
(current > self.max_temp).then_some(Err(Overheat)).unwrap_or(Ok(()))
}
}
数据安全与合规
// 示例9:审计日志加密
fn encrypt_log_entry(entry: &LogEntry, key: &AesKey) -> Vec<u8> {
let serialized = bincode::serialize(entry).unwrap();
aes_encrypt(&serialized, key)
}
// 示例10:GMP合规检查
fn gmp_compliance_check(facility: &Facility) -> ComplianceReport {
let mut report = ComplianceReport::new();
GMP_STANDARDS.iter()
.for_each(|s| report.add_check(s, facility.meets_standard(s)));
report
}
临床数据分析
// 示例11:疗效统计模型
fn efficacy_analysis(trials: &[Trial]) -> HashMap<Formulation, f64> {
trials.iter()
.fold(HashMap::n