<T3D-ILDDMIA-case/2024-11-9-AM08.00>【镜心悟道系统架构开发主题“MMAIICILM-JXWDAIYijingBrainBase 类”镜心悟道医工工程师小镜MoDEAI+中医健康管理智能体助理“XiaoJingChatBotDQNMoDEAgent”技术栈
编程语言：C++ 和 Python
深度学习框架：TensorFlow 或 PyTorch
自然语言处理工具：如 NLTK 或 spaCy
数据存储：SQL 数据库（如 MySQL）或 NoSQL 数据库（如 MongoDB）
XML 处理：Boost.PropertyTree（C++）或 ElementTree（Python）我将详细介绍如何在这些技术栈的基础上构建和集成 MMAIICILM-JXWDAIYijingBrainBase 类和 XiaoJingChatBotDQNMoDEAgent 智能体助理。
好的，我们将继续完成 DiagnosticReport 结构体的 XML 生成代码，并提供完整的 C++ 和 Python 代码示例。以下是详细的实现：
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文章目录
- C++ 代码示例
- 1.
DiagnosticReport结构体定义 - 2. 生成 XML 的函数
- Python 代码示例
- 1.
XiaoJingChatBotDQNMoDEAgent智能体助理 - 总结
- 项目架构概述
- 1. 系统架构
- 2. 技术栈
- 详细设计
- 1.
MMAIICILM-JXWDAIYijingBrainBase类 - 2.
XiaoJingChatBotDQNMoDEAgent智能体助理 - 集成与部署
- 1. 数据库设计
- 2. API设计
- 3. 部署
- 示例API
- Python 数据结构
- 2. 生成XML文件
- 1. JSON 格式化
- 2. XML 格式化
- 3. Julia 格式化
- 4. DSL 格式化
- 5. Lisp 格式化
- 6. XHTML 格式化
- 7. LDL 格式化
- 8. C++ 和 Python 编程语言 + YAML 解析
- C++ 代码
- Python 代码
- 9. 转换成 JXWDYYAutoDev 镜心悟道医工工程师小镜 MoDEAI + 中医健康管理智能体助理 “XiaoJingChatBotDQNMoDEAgent” 语言矩阵框架
- JSON 格式化
- 10. 解析和转换函数
- Python 解析和转换函数
- 优化建议
- 定义结构体 mutable struct SixtyFourHexagramsMappingAnnotation hexagrams::Array{Dict{String, Any}, 1} end # 创建六十四卦映射 SixtyFourGuaMapping = SixtyFourHexagramsMappingAnnotation([ Dict("name" => "乾兑", "value" => "乾卦（☰）与兑卦（☱）组合，代表天泽履卦，象征履行职责，行动谨慎。"), Dict("name" => "乾坤", "value" => "乾卦（☰）与坤卦（☷）组合，代表天地否卦，象征天地不交，事物停滞不前。") ]) # 打印六十四卦复合卦映射标注辨证 println("六十四卦复合卦映射标注辨证:") for gua in SixtyFourGuaMapping.hexagrams println("名称: $(gua["name"])") println("描述: $(gua["value"])") println() # 创建六十四卦的数据 sixty_four_gua = [ Dict("name" => "乾 (☰, 阳, 5)", "value" => "乾卦代表天，象征刚健、领导力和创造力。"), Dict("name" => "坤 (☷, 阴, 4)", "value" => "坤卦代表地，象征柔顺、包容和母爱。"), # 定义结构体 mutable struct SixtyFourHexagramsMappingAnnotation hexagrams::Array{Dict{String, Any}, 1} end # 创建六十四卦的数据 sixty_four_gua = [ Dict("name" => "乾 (☰, 阳, 5)", "value" => "乾卦代表天，象征刚健、领导力和创造力。"), Dict("name" => "坤 (☷, 阴, 4)", "value" => "坤卦代表地，象征柔顺、包容和母爱。"), Dict("name" => "屯 (䷂, 阳, 3)", "value" => "屯卦象征初始、困难和潜力。"), Dict("name" => "蒙 (䷃, 阴, 4)", "value" => "蒙卦象征启蒙、教育和成长。"), Dict("name" => "需 (䷄, 阳, 5)", "value" => "需卦象征等待、准备和耐心。"), Dict("name" => "讼 (讼, 阴, 6)", "value" => "讼卦象征争执、诉讼和冲突。"), Dict("name" => "师 (䷆, 阳, 7)", "value" => "师卦象征军队、组织和纪律。"), Dict("name" => "比 (䷇, 阴, 8)", "value" => "比卦象征亲密、合作和互助。"), Dict("name" => "小畜 (䷈, 阳, 9)", "value" => "小畜卦象征积蓄、积累和储备。"), Dict("name" => "履 (䷉, 阴, 10)", "value" => "履卦象征履行、实践和谨慎。"), Dict("name" => "泰 (䷊, 阳, 11)", "value" => "泰卦象征通达、和谐和平衡。"), Dict("name" => "否 (䷋, 阴, 12)", "value" => "否卦象征闭塞、停滞和不顺。"), Dict("name" => "同人 (䷌, 阳, 13)", "value" => "同人卦象征团结、合作和共同目标。"), Dict("name" => "大有 (䷍, 阴, 14)", "value" => "大有卦象征丰富、收获和繁荣。"), Dict("name" => "谦 (䷎, 阳, 15)", "value" => "谦卦象征谦虚、低调和谨慎。"), Dict("name" => "豫 (䷏, 阴, 16)", "value" => "豫卦象征愉快、安逸和享受。"), Dict("name" => "随 (䷐, 阳, 17)", "value" => "随卦象征随和、适应和变化。"), Dict("name" => "蛊 (䷑, 阴, 18)", "value" => "蛊卦象征改革、整顿和更新。"), Dict("name" => "临 (䷒, 阳, 19)", "value" => "临卦象征接近、面临和应对。"), Dict("name" => "观 (䷓, 阴, 20)", "value" => "观卦象征观察、审视和反思。"), Dict("name" => "噬嗑 (䷔, 阳, 21)", "value" => "噬嗑卦象征决断、解决和处理。"), Dict("name" => "贲 (䷕, 阴, 22)", "value" => "贲卦象征装饰、美化和表现。"), Dict("name" => "剥 (䷖, 阳, 23)", "value" => "剥卦象征剥落、衰退和消亡。"), Dict("name" => "复 (䷗, 阴, 24)", "value" => "复卦象征回归、复兴和重生。"), Dict("name" => "无妄 (䷘, 阳, 25)", "value" => "无妄卦象征无妄、自然和真诚。"), Dict("name" => "大畜 (䷙, 阴, 26)", "value" => "大畜卦象征大蓄、积累和储备。"), Dict("name" => "颐 (䷚, 阳, 27)", "value" => "颐卦象征颐养、保养和滋养。"), Dict("name" => "大过 (䷛, 阴, 28)", "value" => "大过卦象征大过、过度和极端。"), Dict("name" => "坎 (䷜, 阳, 29)", "value" => "坎卦代表水，象征危险、困难和挑战。"), Dict("name" => "离 (䷝, 阴, 30)", "value" => "离卦代表火，象征光明、智慧和热情。"), Dict("name" => "咸 (䷞, 阳, 31)", "value" => "咸卦象征感应、吸引和互动。"), Dict("name" => "恒 (䷟, 阴, 32)", "value" => "恒卦象征恒久、稳定和持久。"), Dict("name" => "遁 (䷠, 阳, 33)", "value" => "遁卦象征退避、隐居和回避。"), Dict("name" => "大壮 (䷡, 阴, 34)", "value" => "大壮卦象征强大、壮大和力量。"), Dict("name" => "晋 (䷢, 阳, 35)", "value" => "晋卦象征前进、晋升和进步。"), Dict("name" => "明夷 (䷣, 阴, 36)", "value" => "明夷卦象征光明受损、受挫和挫折。"), Dict("name" => "家人 (䷤, 阳, 37)", "value" => "家人卦象征家庭、亲情和和睦。"), Dict("name" => "睽 (䷥, 阴, 38)", "value" => "睽卦象征分离、分歧和对立。"), Dict("name" => "蹇 (䷦, 阳, 39)", "value" => "蹇卦象征艰难、阻碍和困境。"), Dict("name" => "解 (䷧, 阴, 40)", "value" => "解卦象征解脱、解决和释放。"), Dict("name" => "损 (䷨, 阳, 41)", "value" => "损卦象征减损、牺牲和奉献。"), Dict("name" => "益 (䷨, 阴, 42)", "value" => "益卦象征增益、收益和帮助。"), Dict("name" => "夬 (䷪, 阳, 43)", "value" => "夬卦象征决断、果断和坚定。"), Dict("name" => "姤 (䷫, 阴, 44)", "value" => "姤卦象征相遇、偶遇和机遇。"), Dict("name" => "萃 (䷬, 阳, 45)", "value" => "萃卦象征聚集、集合和团结。"), Dict("name" => "升 (䷭, 阴, 46)", "value" => "升卦象征上升、提升和发展。"), Dict("name" => "困 (䷮, 阳, 47)", "value" => "困卦象征困顿、困境和束缚。"), Dict("name" => "井 (䷯, 阴, 48)", "value" => "井卦象征井水、资源和供应。"), Dict("name" => "革 (䷰, 阳, 49)", "value" => "革卦象征变革、改革和创新。"), Dict("name" => "鼎 (䷱, 阴, 50)", "value" => "鼎卦象征鼎、稳固和权威。"), Dict("name" => "震 (䷲, 阳, 51)", "value" => "震卦代表雷，象征震动、激发和唤醒。"), Dict("name" => "艮 (䷳, 阴, 52)", "value" => "艮卦代表山，象征停止、静止和稳重。"), Dict("name" => "渐 (䷴, 阳, 53)", "value" => "渐卦象征逐渐、逐步和缓慢。"), Dict("name" => "归妹 (䷵, 阴, 54)", "value" => "归妹卦象征少女、婚姻和归宿。"), Dict("name" => "丰 (䷶, 阳, 55)", "value" => "丰卦象征丰盛、丰富和充实。"), Dict("name" => "旅 (䷷, 阴, 56)", "value" => "旅卦象征旅行、漂泊和迁徙。"), Dict("name" => "巽 (䷸, 阳, 57)", "value" => "巽卦代表风，象征柔和、顺从和灵活。"), Dict("name" => "兑 (䷹, 阴, 58)", "value" => "兑卦代表泽，象征喜悦、交流和沟通。"), Dict("name" => "涣 (䷺, 阳, 59)", "value" => "涣卦象征分散、化解和流动。"), Dict("name" => "节 (䷻, 阴, 60)", "value" => "节卦象征节制、约束和控制。"), Dict("name" => "中孚 (䷼, 阳, 61)", "value" => "中孚卦象征诚信、信任和诚实。"), Dict("name" => "小过 (䷽, 阴, 62)", "value" => "小过卦象征小过、轻微的过失和失误。"), Dict("name" => "既济 (䷾, 阳, 63)", "value" => "既济卦象征已完成、成功和圆满。"), Dict("name" => "未济 (䷿, 阴, 64)", "value" => "未济卦象征未完成、未成功和未实现。") ] # 创建一个实例 sixty_four_gua_mapping_annotation = SixtyFourHexagramsMappingAnnotation(sixty_four_gua) # 打印六十四卦复合卦映射标注辨证 println("六十四卦复合卦映射标注辨证:") for gua in sixty_four_gua_mapping_annotation.hexagrams println("名称: $(gua["name"])") println("描述: $(gua["value"])") println() end... ] # 创建一个实例 sixty_four_gua_mapping_annotation = SixtyFourHexagramsMappingAnnotation(sixty_four_gua) # 打印六十四卦复合卦映射标注辨证 println("六十四卦复合卦映射标注辨证:") for gua in sixty_four_gua_mapping_annotation.hexagrams println("名称: $(gua["name"])") println("描述: $(gua["value"])") println() endend
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C++ 代码示例
1. DiagnosticReport 结构体定义
#include <iostream>
#include <string>
#include <vector>
#include <boost/property_tree/ptree.hpp>
#include <boost/property_tree/xml_parser.hpp>
struct Organ {
std::string organ;
int health_index;
int normal_range_min;
int normal_range_max;
std::string trend;
};
struct Vertebra {
std::string segment;
int health_index;
std::string trend;
};
struct Meridian {
std::string meridian;
int health_index;
int normal_range_min;
int normal_range_max;
std::string trend;
int energy_value;
};
struct Prescription {
std::string drug;
std::string dose;
std::string frequency;
std::string wuxing_attribute;
std::string bagua_correspondence;
std::string efficacy;
std::string target_symptoms;
};
struct TreatmentPlan {
std::string steps;
struct Outcome {
std::string effect;
std::string result;
} outcome;
};
struct Commentary {
std::string comment;
std::string note;
};
struct Reference {
std::string book;
std::string article;
};
struct Symptoms {
std::string description;
struct PulseChanges {
std::string before;
std::string after;
} pulse_changes;
};
struct PatientInfo {
std::string name;
std::string gender;
int age;
std::string contact;
};
struct BackgroundInfo {
std::string birth_date;
std::string eight_characters;
std::string living_environment;
std::string lifestyle;
};
struct Diagnosis {
std::string conclusion;
std::string five_elements_dialectic;
std::string yin_yang_dialectic;
std::string sanjiao_energy_dialectic;
std::string energy_distribution;
std::string qi_mechanism;
std::string meridian_dialectic;
};
struct HealthAssessment {
int overall_health_index;
std::string health_status;
std::string constitution_type;
std::vector<Organ> organs;
std::vector<Vertebra> vertebrae;
std::vector<Meridian> meridians;
};
struct DiagnosticReport {
std::string title;
std::string case_name;
PatientInfo patient_info;
BackgroundInfo background_info;
Symptoms symptoms;
Diagnosis diagnosis;
HealthAssessment health_assessment;
std::string six_evils_dialectic;
std::string seven_emotions_dialectic;
std::string eight_trigrams_dialectic;
std::string sixty_four_hexagrams;
std::string nine_nine_to_one_dialectic;
std::vector<Prescription> prescriptions;
TreatmentPlan treatment_plan;
Commentary commentary;
Reference reference;
std::string test_results;
};2. 生成 XML 的函数
void generateXml(const DiagnosticReport& report, const std::string& filename) {
boost::property_tree::ptree root;
// 添加报告标题
boost::property_tree::ptree title_node;
title_node.put("", report.title);
root.add_child("报告标题", title_node);
// 添加医案名称
boost::property_tree::ptree case_name_node;
case_name_node.put("", report.case_name);
root.add_child("医案名称", case_name_node);
// 添加患者信息
boost::property_tree::ptree patient_info;
add_sub_element(patient_info, "姓名", report.patient_info.name);
add_sub_element(patient_info, "性别", report.patient_info.gender);
add_sub_element(patient_info, "年龄", std::to_string(report.patient_info.age));
add_sub_element(patient_info, "联系方式", report.patient_info.contact);
root.add_child("患者信息", patient_info);
// 添加背景信息
boost::property_tree::ptree background_info;
add_sub_element(background_info, "出生日期", report.background_info.birth_date);
add_sub_element(background_info, "八字分析", report.background_info.eight_characters);
add_sub_element(background_info, "生活环境", report.background_info.living_environment);
add_sub_element(background_info, "生活方式", report.background_info.lifestyle);
root.add_child("背景信息", background_info);
// 添加症状
boost::property_tree::ptree symptoms;
add_sub_element(symptoms, "症状描述", report.symptoms.description);
boost::property_tree::ptree pulse_changes;
add_sub_element(pulse_changes, "前", report.symptoms.pulse_changes.before);
add_sub_element(pulse_changes, "后", report.symptoms.pulse_changes.after);
symptoms.add_child("脉象变化", pulse_changes);
root.add_child("症状", symptoms);
// 添加诊断
boost::property_tree::ptree diagnosis;
add_sub_element(diagnosis, "结论", report.diagnosis.conclusion);
add_sub_element(diagnosis, "五行辩证", report.diagnosis.five_elements_dialectic);
add_sub_element(diagnosis, "阴阳辩证", report.diagnosis.yin_yang_dialectic);
add_sub_element(diagnosis, "三焦能量辩证", report.diagnosis.sanjiao_energy_dialectic);
add_sub_element(diagnosis, "能量分布", report.diagnosis.energy_distribution);
add_sub_element(diagnosis, "气机", report.diagnosis.qi_mechanism);
add_sub_element(diagnosis, "经络辩证", report.diagnosis.meridian_dialectic);
root.add_child("诊断", diagnosis);
// 添加健康评估
boost::property_tree::ptree health_assessment;
add_sub_element(health_assessment, "整体健康指数", std::to_string(report.health_assessment.overall_health_index));
add_sub_element(health_assessment, "健康状况", report.health_assessment.health_status);
add_sub_element(health_assessment, "体质类型", report.health_assessment.constitution_type);
for (const auto& organ : report.health_assessment.organs) {
boost::property_tree::ptree organ_node;
add_sub_element(organ_node, "器官", organ.organ);
add_sub_element(organ_node, "健康指数", std::to_string(organ.health_index));
add_sub_element(organ_node, "正常范围最小值", std::to_string(organ.normal_range_min));
add_sub_element(organ_node, "正常范围最大值", std::to_string(organ.normal_range_max));
add_sub_element(organ_node, "趋势", organ.trend);
health_assessment.add_child("器官", organ_node);
}
for (const auto& vertebra : report.health_assessment.vertabrae) {
boost::property_tree::ptree vertebra_node;
add_sub_element(vertebra_node, "段落", vertebra.segment);
add_sub_element(vertebra_node, "健康指数", std::to_string(vertebra.health_index));
add_sub_element(vertebra_node, "趋势", vertebra.trend);
health_assessment.add_child("椎骨", vertebra_node);
}
for (const auto& meridian : report.health_assessment.meridians) {
boost::property_tree::ptree meridian_node;
add_sub_element(meridian_node, "经络", meridian.meridian);
add_sub_element(meridian_node, "健康指数", std::to_string(meridian.health_index));
add_sub_element(meridian_node, "正常范围最小值", std::to_string(meridian.normal_range_min));
add_sub_element(meridian_node, "正常范围最大值", std::to_string(meridian.normal_range_max));
add_sub_element(meridian_node, "趋势", meridian.trend);
add_sub_element(meridian_node, "能量值", std::to_string(meridian.energy_value));
health_assessment.add_child("经络", meridian_node);
}
root.add_child("健康评估", health_assessment);
// 添加其他信息
add_sub_element(root, "六淫辩证", report.six_evils_dialectic);
add_sub_element(root, "七情辩证", report.seven_emotions_dialectic);
add_sub_element(root, "八卦辩证", report.eight_trigrams_dialectic);
add_sub_element(root, "六十四卦", report.sixty_four_hexagrams);
add_sub_element(root, "九九归一辩证", report.nine_nine_to_one_dialectic);
// 添加处方
boost::property_tree::ptree prescriptions;
for (const auto& prescription : report.prescriptions) {
boost::property_tree::ptree prescription_node;
add_sub_element(prescription_node, "药物", prescription.drug);
add_sub_element(prescription_node, "剂量", prescription.dose);
add_sub_element(prescription_node, "频次", prescription.frequency);
add_sub_element(prescription_node, "五行属性", prescription.wuxing_attribute);
add_sub_element(prescription_node, "八卦对应", prescription.bagua_correspondence);
add_sub_element(prescription_node, "药效", prescription.efficacy);
add_sub_element(prescription_node, "针对症状", prescription.target_symptoms);
prescriptions.add_child("处方", prescription_node);
}
root.add_child("处方", prescriptions);
// 添加治疗方案
boost::property_tree::ptree treatment_plan;
add_sub_element(treatment_plan, "步骤", report.treatment_plan.steps);
boost::property_tree::ptree outcome;
add_sub_element(outcome, "效果", report.treatment_plan.outcome.effect);
add_sub_element(outcome, "结果", report.treatment_plan.outcome.result);
treatment_plan.add_child("疗效", outcome);
root.add_child("治疗方案", treatment_plan);
// 添加注释
boost::property_tree::ptree commentary;
add_sub_element(commentary, "评论", report.commentary.comment);
add_sub_element(commentary, "备注", report.commentary.note);
root.add_child("注释", commentary);
// 添加参考文献
boost::property_tree::ptree reference;
add_sub_element(reference, "书籍", report.reference.book);
add_sub_element(reference, "文章", report.reference.article);
root.add_child("参考文献", reference);
// 添加检查结果
add_sub_element(root, "检查结果", report.test_results);
// 写入XML文件
boost::property_tree::write_xml(filename, root);
}
void add_sub_element(boost::property_tree::ptree& parent, const std::string& tag, const std::string& text) {
boost::property_tree::ptree node;
node.put("", text);
parent.add_child(tag, node);
}Python 代码示例
1. XiaoJingChatBotDQNMoDEAgent 智能体助理
import tensorflow as tf
from transformers import TFAutoModelForSequenceClassification, AutoTokenizer
import json
import sqlite3
from xml.etree import ElementTree as ET
class XiaoJingChatBotDQNMoDEAgent:
def __init__(self, model_path, tokenizer_path, db_path):
self.tokenizer = AutoTokenizer.from_pretrained(tokenizer_path)
self.model = TFAutoModelForSequenceClassification.from_pretrained(model_path)
self.db_path = db_path
self.chat_pairs = [
['你好', ['你好，有什么可以帮助你的吗？']],
['我感觉不舒服', ['你能具体描述一下你的症状吗？']],
# 更多对话对
]
self.chat = Chat(self.chat_pairs, reflections)
def get_response(self, user_input):
# 使用预训练模型进行意图识别
inputs = self.tokenizer(user_input, return_tensors='tf')
outputs = self.model(inputs)
predicted_intent = tf.argmax(outputs.logits, axis=1).numpy()[0]
# 根据意图生成响应
if predicted_intent == 0: # 例如，0表示询问症状
response = self.chat.respond(user_input)
else:
response = "我暂时无法理解你的问题，请提供更多详细信息。"
return response
def save_user_data(self, user_id, data):
conn = sqlite3.connect(self.db_path)
cursor = conn.cursor()
cursor.execute("INSERT INTO user_data (user_id, data) VALUES (?, ?)", (user_id, json.dumps(data)))
conn.commit()
conn.close()
def load_user_data(self, user_id):
conn = sqlite3.connect(self.db_path)
cursor = conn.cursor()
cursor.execute("SELECT data FROM user_data WHERE user_id = ?", (user_id,))
row = cursor.fetchone()
conn.close()
if row:
return json.loads(row[0])
return None
def generate_xml_report(self, report_data, filename):
root = ET.Element("诊断报告")
add_sub_element(root, "报告标题", report_data["title"])
add_sub_element(root, "医案名称", report_data["case_name"])
patient_info = add_sub_element(root, "患者信息", "")
add_sub_element(patient_info, "姓名", report_data["patient_info"]["name"])
add_sub_element(patient_info, "性别", report_data["patient_info"]["gender"])
add_sub_element(patient_info, "年龄", str(report_data["patient_info"]["age"]))
add_sub_element(patient_info, "联系方式", report_data["patient_info"].get("contact", ""))
background_info = add_sub_element(root, "背景信息", "")
add_sub_element(background_info, "出生日期", report_data["background_info"]["birth_date"])
add_sub_element(background_info, "八字分析", report_data["background_info"]["eight_characters"])
add_sub_element(background_info, "生活环境", report_data["background_info"]["living_environment"])
add_sub_element(background_info, "生活方式", report_data["background_info"]["lifestyle"])
symptoms = add_sub_element(root, "症状", "")
add_sub_element(symptoms, "症状描述", report_data["symptoms"]["description"])
pulse_changes = add_sub_element(symptoms, "脉象变化", "")
add_sub_element(pulse_changes, "前", report_data["symptoms"]["pulse_changes"]["before"])
add_sub_element(pulse_changes, "后", report_data["symptoms"]["pulse_changes"]["after"])
diagnosis = add_sub_element(root, "诊断", "")
add_sub_element(diagnosis, "结论", report_data["diagnosis"]["conclusion"])
add_sub_element(diagnosis, "五行辩证", report_data["diagnosis"]["five_elements_dialectic"])
add_sub_element(diagnosis, "阴阳辩证", report_data["diagnosis"]["yin_yang_dialectic"])
add_sub_element(diagnosis, "三焦能量辩证", report_data["diagnosis"]["sanjiao_energy_dialectic"])
add_sub_element(diagnosis, "能量分布", report_data["diagnosis"]["energy_distribution"])
add_sub_element(diagnosis, "气机", report_data["diagnosis"]["qi_mechanism"])
add_sub_element(diagnosis, "经络辩证", report_data["diagnosis"]["meridian_dialectic"])
health_assessment = add_sub_element(root, "健康评估", "")
add_sub_element(health_assessment, "整体健康指数", str(report_data["health_assessment"]["overall_health_index"]))
add_sub_element(health_assessment, "健康状况", report_data["health_assessment"]["health_status"])
add_sub_element(health_assessment, "体质类型", report_data["health_assessment"]["constitution_type"])
for organ in report_data["health_assessment"]["organs"]:
organ_node = add_sub_element(health_assessment, "器官", "")
add_sub_element(organ_node, "器官", organ["organ"])
add_sub_element(organ_node, "健康指数", str(organ["health_index"]))
add_sub_element(organ_node, "正常范围最小值", str(organ["normal_range_min"]))
add_sub_element(organ_node, "正常范围最大值", str(organ["normal_range_max"]))
add_sub_element(organ_node, "趋势", organ["trend"])
for vertebra in report_data["health_assessment"]["vertebrae"]:
vertebra_node = add_sub_element(health_assessment, "椎骨", "")
add_sub_element(vertebra_node, "段落", vertebra["segment"])
add_sub_element(vertebra_node, "健康指数", str(vertebra["health_index"]))
add_sub_element(vertebra_node, "趋势", vertebra["trend"])
for meridian in report_data["health_assessment"]["meridians"]:
meridian_node = add_sub_element(health_assessment, "经络", "")
add_sub_element(meridian_node, "经络", meridian["meridian"])
add_sub_element(meridian_node, "健康指数", str(meridian["health_index"]))
add_sub_element(meridian_node, "正常范围最小值", str(meridian["normal_range_min"]))
add_sub_element(meridian_node, "正常范围最大值", str(meridian["normal_range_max"]))
add_sub_element(meridian_node, "趋势", meridian["trend"])
add_sub_element(meridian_node, "能量值", str(meridian["energy_value"]))
add_sub_element(root, "六淫辩证", report_data["six_evils_dialectic"])
add_sub_element(root, "七情辩证", report_data["seven_emotions_dialectic"])
add_sub_element(root, "八卦辩证", report_data["eight_trigrams_dialectic"])
add_sub_element(root, "六十四卦", report_data["sixty_four_hexagrams"])
add_sub_element(root, "九九归一辩证", report_data["nine_nine_to_one_dialectic"])
prescriptions = add_sub_element(root, "处方", "")
for prescription in report_data["prescriptions"]:
prescription_node = add_sub_element(prescriptions, "处方", "")
add_sub_element(prescription_node, "药物", prescription["drug"])
add_sub_element(prescription_node, "剂量", prescription["dose"])
add_sub_element(prescription_node, "频次", prescription["frequency"])
add_sub_element(prescription_node, "五行属性", prescription["wuxing_attribute"])
add_sub_element(prescription_node, "八卦对应", prescription["bagua_correspondence"])
add_sub_element(prescription_node, "药效", prescription["efficacy"])
add_sub_element(prescription_node, "针对症状", prescription["target_symptoms"])
treatment_plan = add_sub_element(root, "治疗方案", "")
add_sub_element(treatment_plan, "步骤", report_data["treatment_plan"]["steps"])
outcome = add_sub_element(treatment_plan, "疗效", "")
add_sub_element(outcome, "效果", report_data["treatment_plan"]["outcome"]["effect"])
add_sub_element(outcome, "结果", report_data["treatment_plan"]["outcome"]["result"])
commentary = add_sub_element(root, "注释", "")
add_sub_element(commentary, "评论", report_data["commentary"]["comment"])
add_sub_element(commentary, "备注", report_data["commentary"]["note"])
reference = add_sub_element(root, "参考文献", "")
add_sub_element(reference, "书籍", report_data["reference"]["book"])
add_sub_element(reference, "文章", report_data["reference"]["article"])
add_sub_element(root, "检查结果", report_data["test_results"])
tree = ET.ElementTree(root)
tree.write(filename, encoding="utf-8", xml_declaration=True)
def add_sub_element(parent, tag, text):
element = ET.SubElement(parent, tag)
element.text = text
return element
# 示例调用
chatbot = XiaoJingChatBotDQNMoDEAgent(model_path='path/to/model', tokenizer_path='path/to/tokenizer', db_path='path/to/db')
user_input = "我最近总是感觉乏力，精神不振。"
response = chatbot.get_response(user_input)
print(response)
report_data = {
"title": "中医健康管理报告",
"case_name": "案例001",
"patient_info": {
"name": "张三",
"gender": "男",
"age": 30,
"contact": "1234567890"
},
"background_info": {
"birth_date": "1990-01-01",
"eight_characters": "甲子年乙丑月丙寅日丁卯时",
"living_environment": "城市",
"lifestyle": "久坐不动"
},
"symptoms": {
"description": "乏力，精神不振",
"pulse_changes": {
"before": "弦细",
"after": "滑数"
}
},
"diagnosis": {
"conclusion": "肝气郁结",
"five_elements_dialectic": "木旺克土",
"yin_yang_dialectic": "阴虚阳亢",
"sanjiao_energy_dialectic": "上焦热盛",
"energy_distribution": "肺气不足",
"qi_mechanism": "气滞血瘀",
"meridian_dialectic": "足厥阴肝经失调"
},
"health_assessment": {
"overall_health_index": 75,
"health_status": "亚健康",
"constitution_type": "气郁质",
"organs": [
{"organ": "肝", "health_index": 60, "normal_range_min": 70, "normal_range_max": 100, "trend": "下降"}
],
"vertebrae": [
{"segment": "颈椎", "health_index": 80, "trend": "稳定"}
],
"meridians": [
{"meridian": "肝经", "health_index": 65, "normal_range_min": 70, "normal_range_max": 100, "trend": "下降", "energy_value": 50}
]
},
"six_evils_dialectic": "风邪侵袭",
"seven_emotions_dialectic": "情绪波动大",
"eight_trigrams_dialectic": "乾卦",
"sixty_four_hexagrams": "否卦",
"nine_nine_to_one_dialectic": "九九归一",
"prescriptions": [
{
"drug": "黄芪",
"dose": "10g",
"frequency": "每日两次",
"wuxing_attribute": "土",
"bagua_correspondence": "坤",
"efficacy": "补气固表",
"target_symptoms": "乏力"
}
],
"treatment_plan": {
"steps": "调整饮食，增加运动，保持良好作息",
"outcome": {
"effect": "改善乏力症状",
"result": "恢复健康"
}
},
"commentary": {
"comment": "患者需长期坚持治疗",
"note": "定期复查"
},
"reference": {
"book": "《黄帝内经》",
"article": "《中医健康管理实践》"
},
"test_results": "血液检查正常"
}
chatbot.generate_xml_report(report_data, "diagnostic_report.xml")总结
通过上述设计，您可以构建一个高效、智能的中医健康管理平台。MMAIICILM-JXWDAIYijingBrainBase 类负责核心的诊断和建议生成，而 XiaoJingChatBotDQNMoDEAgent 智能体助理则作为用户交互的界面，提供个性化的服务。希望这些设计思路和示例代码对您的项目有所帮助！如果有任何其他问题或需要进一步的帮助，请随时告诉我。
项目架构概述
1. 系统架构
- 前端：用户界面，可以是Web应用或移动应用，用于与用户交互。
- 后端：处理业务逻辑、数据存储和AI模型调用。
- 数据库：存储用户数据、诊断报告和历史记录。
- AI模型：用于自然语言处理和健康评估的深度学习模型。
2. 技术栈
- 编程语言：C++ 和 Python
- 深度学习框架：TensorFlow 或 PyTorch
- 自然语言处理工具：NLTK 或 spaCy
- 数据存储：MySQL 或 MongoDB
- XML处理：Boost.PropertyTree（C++）或 ElementTree（Python）
详细设计
1. MMAIICILM-JXWDAIYijingBrainBase 类
这个类负责核心的中医健康管理和诊断逻辑。以下是一个简化的C++类设计示例：
#include <iostream>
#include <string>
#include <vector>
#include <boost/property_tree/ptree.hpp>
#include <boost/property_tree/xml_parser.hpp>
class MMAIICILM_JXWDAIYijingBrainBase {
public:
// 构造函数
MMAIICILM_JXWDAIYijingBrainBase() {}
// 核心诊断方法
DiagnosticReport diagnose(const PatientInfo& patient_info, const Symptoms& symptoms) {
// 进行诊断逻辑
DiagnosticReport report;
report.title = "中医健康管理报告";
report.case_name = "案例001";
report.patient_info = patient_info;
report.symptoms = symptoms;
// 示例诊断结果
report.diagnosis.conclusion = "肝气郁结";
report.diagnosis.five_elements_dialectic = "木旺克土";
report.diagnosis.yin_yang_dialectic = "阴虚阳亢";
report.diagnosis.sanjiao_energy_dialectic = "上焦热盛";
report.diagnosis.energy_distribution = "肺气不足";
report.diagnosis.qi_mechanism = "气滞血瘀";
report.diagnosis.meridian_dialectic = "足厥阴肝经失调";
// 生成XML报告
generateXml(report);
return report;
}
private:
void generateXml(const DiagnosticReport& report) {
// 生成XML的代码，与之前提供的代码相同
}
};2. XiaoJingChatBotDQNMoDEAgent 智能体助理
这个智能体助理负责与用户进行自然语言交互，并提供健康建议。以下是一个简化的Python类设计示例：
import tensorflow as tf
from transformers import TFAutoModelForSequenceClassification, AutoTokenizer
from nltk.chat.util import Chat, reflections
import json
import sqlite3
class XiaoJingChatBotDQNMoDEAgent:
def __init__(self, model_path, tokenizer_path, db_path):
self.tokenizer = AutoTokenizer.from_pretrained(tokenizer_path)
self.model = TFAutoModelForSequenceClassification.from_pretrained(model_path)
self.db_path = db_path
self.chat_pairs = [
['你好', ['你好，有什么可以帮助你的吗？']],
['我感觉不舒服', ['你能具体描述一下你的症状吗？']],
# 更多对话对
]
self.chat = Chat(self.chat_pairs, reflections)
def get_response(self, user_input):
# 使用预训练模型进行意图识别
inputs = self.tokenizer(user_input, return_tensors='tf')
outputs = self.model(inputs)
predicted_intent = tf.argmax(outputs.logits, axis=1).numpy()[0]
# 根据意图生成响应
if predicted_intent == 0: # 例如，0表示询问症状
response = self.chat.respond(user_input)
else:
response = "我暂时无法理解你的问题，请提供更多详细信息。"
return response
def save_user_data(self, user_id, data):
conn = sqlite3.connect(self.db_path)
cursor = conn.cursor()
cursor.execute("INSERT INTO user_data (user_id, data) VALUES (?, ?)", (user_id, json.dumps(data)))
conn.commit()
conn.close()
def load_user_data(self, user_id):
conn = sqlite3.connect(self.db_path)
cursor = conn.cursor()
cursor.execute("SELECT data FROM user_data WHERE user_id = ?", (user_id,))
row = cursor.fetchone()
conn.close()
if row:
return json.loads(row[0])
return None集成与部署
1. 数据库设计
- MySQL：适合结构化数据存储，如用户信息、诊断报告等。
- MongoDB：适合非结构化数据存储，如用户对话记录、历史健康数据等。
2. API设计
- RESTful API：用于前后端通信，提供用户认证、数据查询、诊断报告生成等功能。
3. 部署
- 前端：可以使用React或Vue.js等现代前端框架。
- 后端：可以使用Flask或Django等Python框架。
- AI模型：可以使用Docker容器化部署，确保模型的隔离和可移植性。
示例API
以下是一个简单的Flask API示例，用于处理用户请求和生成诊断报告：
from flask import Flask, request, jsonify
from MMAIICILM_JXWDAIYijingBrainBase import MMAIICILM_JXWDAIYijingBrainBase
from XiaoJingChatBotDQNMoDEAgent import XiaoJingChatBotDQNMoDEAgent
app = Flask(__name__)
brain_base = MMAIICILM_JXWDAIYijingBrainBase()
chat_bot = XiaoJingChatBotDQNMoDEAgent(model_path='path/to/model', tokenizer_path='path/to/tokenizer', db_path='path/to/db')
@app.route('/diagnose', methods=['POST'])
def diagnose():
data = request.json
patient_info = data['patient_info']
symptoms = data['symptoms']
report = brain_base.diagnose(patient_info, symptoms)
return jsonify(report)
@app.route('/chat', methods=['POST'])
def chat():
data = request.json
user_input = data['user_input']
user_id = data['user_id']
response = chat_bot.get_response(user_input)
chat_bot.save_user_data(user_id, {'user_input': user_input, 'response': response})
return jsonify({'response': response})
if __name__ == '__main__':
app.run(debug=True)
以上是基于您提供的技术栈构建 `MMAIICILM-JXWDAIYijingBrainBase` 类和 `XiaoJingChatBotDQNMoDEAgent` 智能体助理的基本设计和实现示例。如果您有任何具体的问题或需要进一步的细节，请随时告诉我！将提供的中医健康管理诊断报告转换成符合JXWDYYAutoDevXML数据集框架的XML文件，并且提供相应的C++和Python代码示例，#include <iostream> #include <string> #include <vector> #include <boost/property_tree/ptree.hpp> #include <boost/property_tree/xml_parser.hpp> struct DiagnosticReport { std::string title; std::string case_name; struct PatientInfo { std::string name; std::string gender; int age; std::string contact; } patient_info; struct BackgroundInfo { std::string birth_date; std::string eight_characters; std::string living_environment; std::string lifestyle; } background_info; struct Symptoms { std::string description; struct PulseChanges { std::string before; std::string after; } pulse_changes; } symptoms; struct Diagnosis { std::string conclusion; std::string five_elements_dialectic; std::string yin_yang_dialectic; std::string sanjiao_energy_dialectic; std::string energy_distribution; std::string qi_mechanism; std::string meridian_dialectic; } diagnosis; struct HealthAssessment { int overall_health_index; std::string health_status; std::string constitution_type; std::vector<struct Organ> organs; std::vector<struct Vertebra> vertebrae; std::vector<struct Meridian> meridians; } health_assessment; struct Organ { std::string organ; int health_index; int normal_range_min; int normal_range_max; std::string trend; }; struct Vertebra { std::string segment; int health_index; std::string trend; }; struct Meridian { std::string meridian; int health_index; int normal_range_min; int normal_range_max; std::string trend; int energy_value; }; std::string six_evils_dialectic; std::string seven_emotions_dialectic; std::string eight_trigrams_dialectic; std::string sixty_four_hexagrams; std::string nine_nine_to_one_dialectic; struct Prescription { std::string drug; std::string dose; std::string frequency; std::string wuxing_attribute; std::string bagua_correspondence; std::string efficacy; std::string target_symptoms; }; std::vector<Prescription> prescriptions; struct TreatmentPlan { std::string steps; struct Outcome { std::string effect; std::string result; } outcome; } treatment_plan; struct Commentary { std::string comment; std::string note; } commentary; struct Reference { std::string book; std::string article; } reference; std::string test_results; }; void generateXml(const DiagnosticReport& report) { boost::property_tree::ptree root; boost::property_tree::ptree diagnostic_report; boost::property_tree::ptree title_node; title_node.put("", report.title); diagnostic_report.add_child("报告标题", title_node); boost::property_tree::ptree case_name_node; case_name_node.put("", report.case_name); diagnostic_report.add_child("医案名称", case_name_node); boost::property_tree::ptree patient_info; boost::property_tree::ptree name_node; name_node.put("", report.patient_info.name); patient_info.add_child("姓名", name_node); boost::property_tree::ptree gender_node; gender_node.put("", report.patient_info.gender); patient_info.add_child("性别", gender_node); boost::property_tree::ptree age_node; age_node.put("", std::to_string(report.patient_info.age)); patient_info.add_child("年龄", age_node); boost::property_tree::ptree contact_node; contact_node.put("", report.patient_info.contact); patient_info.add_child("联系方式", contact_node); diagnostic_report.add_child("患者信息", patient_info); boost::property_tree::ptree background_info; boost::property_tree::ptree birth_date_node; birth_date_node.put("", report.background_info.birth_date); background_info.add_child("出生日期", birth_date_node); boost::property_tree::ptree eight_characters_node; eight_characters_node.put("", report.background_info.eight_characters); background_info.add_child("八字分析", eight_characters_node); boost::property_tree::ptree living_environment_node; living_environment_node.put("", report.background_info.living_environment); background_info.add_child("生活环境", living_environment_node); boost::property_tree::ptree lifestyle_node; lifestyle_node.put("", report.background_info.lifestyle); background_info.add_child("生活方式", lifestyle_node); diagnostic_report.add_child("背景信息", background_info); boost::property_tree::ptree symptoms; boost::property_tree::ptree description_node; description_node.put("", report.symptoms.description); symptoms.add_child("症状描述", description_node); boost::property_tree::ptree pulse_changes; boost::property_tree::ptree before_node; before_node.put("", report.symptoms.pulse_changes.before); pulse_changes.add_child("前", before_node); boost::property_tree::ptree after_node; after_node.put("", report.symptoms.pulse_changes.after); pulse_changes.add_child("后", after_node); symptoms.add_child("脉象变化", pulse_changes); diagnostic_report.add_child("症状", symptoms); boost::property_tree::ptree diagnosis; boost::property_tree::ptree conclusion_node; conclusion_node.put("", report.diagnosis.conclusion); diagnosis.add_child("诊断结论", conclusion_node); boost::property_tree::ptree five_elements_dialectic_node; five_elements_dialectic_node.put("", report.diagnosis.five_elements_dialectic); diagnosis.add_child("五行辩证", five_elements_dialectic_node); boost::property_tree::ptree yin_yang_dialectic_node; yin_yang_dialectic_node.put("", report.diagnosis.yin_yang_dialectic); diagnosis.add_child("阴阳辩证", yin_yang_dialectic_node); boost::property_tree::ptree sanjiao_energy_dialectic_node; sanjiao_energy_dialectic_node.put("", report.diagnosis.sanjiao_energy_dialectic); diagnosis.add_child("三焦能量辩证", sanjiao_energy_dialectic_node); boost::property_tree::ptree energy_distribution_node; energy_distribution_node.put("", report.diagnosis.energy_distribution); diagnosis.add_child("能量分布", energy_distribution_node); boost::property_tree::ptree qi_mechanism_node; qi_mechanism_node.put("", report.diagnosis.qi_mechanism); diagnosis.add_child("气机运行情况", qi_mechanism_node); boost::property_tree::ptree meridian_dialectic_node; meridian_dialectic_node.put("", report.diagnosis.meridian_dialectic); diagnosis.add_child("十二正经和八脉辩证", meridian_dialectic_node); diagnostic_report.add_child("诊断", diagnosis); boost::property_tree::ptree health_assessment; boost::property_tree::ptree overall_health_index_node; overall_health_index_node.put("", std::to_string(report.health_assessment.overall_health_index)); health_assessment.add_child("总体健康指数", overall_health_index_node); boost::property_tree::ptree health_status_node; health_status_node.put("", report.health_assessment.health_status); health_assessment.add_child("健康状态", health_status_node); boost::property_tree::ptree constitution_type_node; constitution_type_node.put("", report.health_assessment.constitution_type); health_assessment.add_child("体质类型", constitution_type_node); boost::property_tree::ptree organ_system; for (const auto& organ : report.health_assessment.organs) { boost::property_tree::ptree organ_node; boost::property_tree::ptree health_index_node; health_index_node.put("", std::to_string(organ.health_index)); organ_node.add_child("健康指数", health_index_node); boost::property_tree::ptree normal_range_node; normal_range_node.put("", std::to_string(organ.normal_range_min) + "-" + std::to_string(organ.normal_range_max)); organ_node.add_child("正常范围", normal_range_node); boost::property_tree::ptree trend_node; trend_node.put("", organ.trend); organ_node.add_child("趋势", trend_node); organ_system.add_child(organ.organ, organ_node); } health_assessment.add_child("器官系统", organ_system); boost::property_tree::ptree vertebrae; for (const auto& vertebra : report.health_assessment.vertebrae) { boost::property_tree::ptree vertebra_node; boost::property_tree::ptree health_index_node; health_index_node.put("", std::to_string(vertebra.health_index)); vertebra_node.add_child("健康指数", health_index_node); boost::property_tree::ptree trend_node; trend_node.put("", vertebra.trend); vertebra_node.add_child("趋势", trend_node); vertebrae.add_child(vertebra.segment, vertebra_node); } health_assessment.add_child("脊椎", vertebrae); boost::property_tree::ptree meridian_system; for (const auto& meridian : report.health_assessment.meridians) { boost::property_tree::ptree meridian_node; boost::property_tree::ptree health_index_node; health_index_node.put("", std::to_string(meridian.health_index)); meridian_node.add_child("健康指数", health_index_node); boost::property_tree::ptree normal_range_node; normal_range_node.put("", std::to_string(meridian.normal_range_min) + "-" + std::to_string(meridian.normal_range_max)); meridian_node.add_child("正常范围", normal_range_node); boost::property_tree::ptree trend_node; trend_node.put("", meridian.trend); meridian_node.add_child("趋势", trend_node); boost::property_tree::ptree energy_value_node; energy_value_node.put("", std::to_string(meridian.energy_value)); meridian_node.add_child("能量值", energy_value_node); meridian_system.add_child(meridian.meridian, meridian_node); } health_assessment.add_child("经络系统", meridian_system); diagnostic_report.add_child("健康评估", health_assessment); boost::property_tree::ptree six_evils_dialectic_node; six_evils_dialectic_node.put("", report.six_evils_dialectic); diagnostic_report.add_child("六淫辩证", six_evils_dialectic_node); boost::property_tree::ptree seven_emotions_dialectic_node; seven_emotions_dialectic_node.put("", report.seven_emotions_dialectic); diagnostic_report.add_child("七情辩证", seven_emotions_dialectic_node); boost::property_tree::ptree eight_trigrams_dialectic_node; eight_trigrams_dialectic_node.put("", report.eight_trigrams_dialectic); diagnostic_report.add_child("八卦辩证", eight_trigrams_dialectic_node); boost::property_tree::ptree sixty_four_hexagrams_node; sixty_four_hexagrams_node.put("", report.sixty_four_hexagrams); diagnostic_report.add_child("六十四卦复合卦映射标注辨证", sixty_four_hexagrams_node); boost::property_tree::ptree nine_nine_to_one_dialectic_node; nine_nine_to_one_dialectic_node.put("", report.nine_nine_to_one_dialectic); diagnostic_report.add_child("九九归一辩证", nine_nine_to_one_dialectic_node); boost::property_tree::ptree prescriptions; for (const auto& prescription : report.prescriptions) { boost::property_tree::ptree prescription_node; boost::property_tree::ptree drug_node; drug_node.put("", prescription.drug); prescription_node.add_child("药物", drug_node); boost::property_tree::ptree dose_node; dose_node.put("", prescription.dose); prescription_node.add_child("剂量", dose_node); boost::property_tree::ptree frequency_node; frequency_node.put("", prescription.frequency); prescription_node.add_child("频率", frequency_node); boost::property_tree::ptree wuxing_attribute_node; wuxing_attribute_node.put("", prescription.wuxing_attribute); prescription_node.add_child("五行属性", wuxing_attribute_node); boost::property_tree::ptree bagua_correspondence_node; bagua_correspondence_node.put("", prescription.bagua_correspondence); prescription_node.add_child("八卦对应", bagua_correspondence_node); boost::property_tree::ptree efficacy_node; efficacy_node.put("", prescription.efficacy); prescription_node.add_child("功效", efficacy_node); boost::property_tree::ptree target_symptoms_node; target_symptoms_node.put("", prescription.target_symptoms); prescription_node.add_child("针对症状", target_symptoms_node); prescriptions.add_child("prescription", prescription_node); } diagnostic_report.add_child("处方", prescriptions); boost::property_tree::ptree treatment_plan; boost::property_tree::ptree steps_node; steps_node.put("", report.treatment_plan.steps); treatment_plan.add_child("步骤", steps_node); boost::property_tree::ptree outcome; boost::property_tree::ptree effect_node; effect_node.put("", report.treatment_plan.outcome.effect); outcome.add_child("效果", effect_node); boost::property_tree::ptree result_node; result_node.put("", report.treatment_plan.outcome.result); outcome.add_child("结果", result_node); treatment_plan.add_child("治疗效果", outcome); diagnostic_report.add_child("治疗计划", treatment_plan); boost::property_tree::ptree commentary; boost::property_tree::ptree comment_node; comment_node.put("", report.commentary.comment); commentary.add_child("评论", comment_node); boost::property_tree::ptree note_node; note_node.put("", report.commentary.note); commentary.add_child("注释", note_node); diagnostic_report.add_child("医生评论和注释", commentary); boost::property_tree::ptree reference; boost::property_tree::ptree book_node; book_node.put("", report.reference.book); reference.add_child("书籍", book_node); boost::property_tree::ptree article_node; article_node.put("", report.reference.article); reference.add_child("文章", article_node); diagnostic_report.add_child("参考文献", reference); boost::property_tree::ptree test_results_node; test_results_node.put("", report.test_results); diagnostic_report.add_child("测试结果", test_results_node); root.add_child("jxwdyy", diagnostic_report); boost::property_tree::xml_writer_settings<std::string> settings('t', 1); boost::property_tree::write_xml("diagnostic_report.xml", root, std::locale(), settings); }int main() { DiagnosticReport report; // 设置报告的各个属性值 generateXml(report); return 0; }可以按照以下步骤进行：import xml.etree.ElementTree as ET class DiagnosticReport: def __init__(self): self.title = "中医健康管理诊断报告 JXWD—LWTGZSYABG—年1968-月4-日4-（十二时辰）0时-AM/PM22.00" self.case_name = "HDMDLCPYAYS张##女士医案 神经衰弱病 气虚肺肾不交" self.patient_info = { "name": "张##", "gender": "女", "age": 56, "contact": "13800138000" } self.background_info = { "birth_date": "1968-04-04", "eight_characters": "甲申年 乙巳月 丙午日 丁酉时", "living_environment": "城市", "lifestyle": "办公室工作，压力较大" } self.symptoms = { "description": "长期失眠，精神不振，记忆力减退", "pulse_changes": { "before": "细弱", "after": "沉细" } } self.diagnosis = { "conclusion": "神经衰弱，气虚肺肾不交", "five_elements_dialectic": "木火土金水失衡", "yin_yang_dialectic": "阴虚阳亢", "sanjiao_energy_dialectic": "上焦气滞，中焦脾虚，下焦肾虚", "energy_distribution": "心肺气虚，肝肾阴虚", "qi_mechanism": "气机失调，升降失常", "meridian_dialectic": "手太阴肺经、足少阴肾经虚弱" } self.health_assessment = { "overall_health_index": 65, "health_status": "亚健康", "constitution_type": "气虚质", "organs": [ { "organ": "心脏", "health_index": 70, "normal_range_min": 80, "normal_range_max": 100, "trend": "下降" }, { "organ": "肺", "health_index": 60, "normal_range_min": 80, "normal_range_max": 100, "trend": "下降" } ], "vertebrae": [ { "segment": "C1 - C2", "health_index": 75, "trend": "稳定" } ], "meridians": [ { "meridian": "手太阴肺经", "health_index": 60, "normal_range_min": 80, "normal_range_max": 100, "trend": "下降", "energy_value": 50 } ] } self.six_evils_dialectic = "风寒湿邪侵袭" self.seven_emotions_dialectic = "忧思过度" self.eight_trigrams_dialectic = "乾为天，坤为地，震为雷，巽为风，坎为水，离为火，艮为山，兑为泽" self.sixty_four_hexagrams = "<解卦> <名称>解卦</名称> <符号>䷘</符号> <内卦>坎</内卦> <外卦>震</外卦> <标记>++++++ +++---</标记> <二进制>111111111000</二进制> <英文全称>Xie Gua</英文全称> <缩写>XG</缩写> <解读>解卦象征解脱、解决，代表着问题的解决和困境的摆脱。解卦的卦辞“利西南，无所往，其来复吉”意味着在西南方向是吉祥的，无所前往则吉祥，返回也是吉祥的。解卦强调了在解决问题中保持灵活的重要性，如《象辞》所言：“雷雨作，解，君子以赦过宥罪。”解卦的六爻变化描绘了在解决问题中的稳定性和策略。</解读>" self.nine_nine_to_one_dialectic = "核心问题是气虚肺肾不交，需调补气血，固本培元" self.prescriptions = [ { "drug": "人参生脉饮", "dose": "每次3克，每日2次", "frequency": "早晚各一次", "wuxing_attribute": "土", "bagua_correspondence": "坤", "efficacy": "补气养血", "target_symptoms": "气虚乏力" }, { "drug": "黄芪玉屏风散", "dose": "每次5克，每日2次", "frequency": "早晚各一次", "wuxing_attribute": "土", "bagua_correspondence": "坤", "efficacy": "益气固表", "target_symptoms": "气虚自汗" } ] self.treatment_plan = { "steps": "药物治疗：服用上述处方药物，持续一个月；饮食调理：增加蛋白质和维生素摄入，减少油腻食物；生活方式调整：保证充足睡眠，适当运动", "outcome": "患者精神状态明显改善，睡眠质量提高", "result": "治疗有效，建议继续巩固治疗" } self.commentary = { "comment": "患者需长期坚持治疗，注意生活习惯的调整，定期复诊。", "note": "患者对药物过敏史需特别注意。" } self.reference = { "book": "《中医内科学》", "article": "《中医杂志》，2023年第12期" } self.test_results = "医案XML数据解析：成功解析了医案的XML数据，验证了数据的正确性和完整性；医案输入输出界面：优化了医案的输入输出界面，提高了用户体验；医案数据准确性：确保了医案数据的准确性和一致性。" self.tomorrow_plan = "完善数据：继续完善数据结构和处理流程，确保所有数据的准确性和完整性，优化数据处理算法，提高系统的响应速度；系统测试：进行更深入的系统测试，特别是边界条件的测试，确保系统的稳定性和可靠性；会议沟通：参加项目会议，分享今日的工作进展并讨论后续计划，与团队成员进行沟通，讨论下一步的开发计划和分工。" self.diagnostic_information = "诊断结论：脏腑湿热心火相火偏旺；五行辩证：心火相火偏旺；阴阳辩证：左右上中下阳气偏升；三焦能量辩证：上焦：7.2~8 ++，中焦：8~10 +++，下焦：8~10 +++；" def generate_xml(report): root = ET.Element("jxwdyy") diagnostic_report = ET.SubElement(root, "诊断报告") title = ET.SubElement(diagnostic_report, "报告标题") title.text = report.title case_name = ET.SubElement(diagnostic_report, "医案名称") case_name.text = report.case_name patient_info = ET.SubElement(diagnostic_report, "患者信息") name = ET.SubElement(patient_info, "姓名") name.text = report.patient_info["name"] gender = ET.SubElement(patient_info, "性别") gender.text = report.patient_info["gender"] age = ET.SubElement(patient_info, "年龄") age.text = str(report.patient_info["age"]) contact = ET.SubElement(patient_info, "联系方式") contact.text = report.patient_info["contact"] background_info = ET.SubElement(diagnostic_report, "背景信息") birth_date = ET.SubElement(background_info, "出生日期") birth_date.text = report.background_info["birth_date"] eight_characters = ET.SubElement(background_info, "八字分析") eight_characters.text = report.background_info["eight_characters"] living_environment = ET.SubElement(background_info, "生活环境") living_environment.text = report.background_info["living_environment"] lifestyle = ET.SubElement(background_info, "生活方式") lifestyle.text = report.background_info["lifestyle"] symptoms = ET.SubElement(diagnostic_report, "症状") description = ET.SubElement(symptoms, "症状描述") description.text = report.symptoms["description"] pulse_changes = ET.SubElement(symptoms, "脉象变化") before = ET.SubElement(pulse_changes, "前") before.text = report.symptoms["pulse_changes"]["before"] after = ET.SubElement(pulse_changes, "后") after.text = report.symptoms["pulse_changes"]["after"] diagnosis = ET.SubElement(diagnostic_report, "诊断") conclusion = ET.SubElement(diagnosis, "诊断结论") conclusion.text = report.diagnosis["conclusion"] five_elements_dialectic = ET.SubElement(diagnosis, "五行辩证") five_elements_dialectic.text = report.diagnosis["five_elements_dialectic"] yin_yang_dialectic = ET.SubElement(diagnosis, "阴阳辩证") yin_yang_dialectic.text = report.diagnosis["yin_yang_dialectic"] sanjiao_energy_dialectic = ET.SubElement(diagnosis, "三焦能量辩证") sanjiao_energy_dialectic.text = report.diagnosis["sanjiao_energy_dialectic"] energy_distribution = ET.SubElement(diagnosis, "能量分布") energy_distribution.text = report.diagnosis["energy_distribution"] qi_mechanism = ET.SubElement(diagnosis, "气机运行情况") qi_mechanism.text = report.diagnosis["qi_mechanism"] meridian_dialectic = ET.SubElement(diagnosis, "十二正经和八脉辩证") meridian_dialectic.text = report.diagnosis["meridian_dialectic"] health_assessment = ET.SubElement(diagnostic_report, "健康评估") overall_health_index = ET.SubElement(health_assessment, "总体健康指数") overall_health_index.text = str(report.health_assessment["overall_health_index"]) health_status = ET.SubElement(health_assessment, "健康状态") health_status.text = report.health_assessment["health_status"] constitution_type = ET.SubElement(health_assessment, "体质类型") constitution_type.text = report.health_assessment["constitution_type"] organ_system = ET.SubElement(health_assessment, "器官系统") for organ in report.health_assessment["organs"]: organ_element = ET.SubElement(organ_system, organ["organ"]) health_index = ET.SubElement(organ_element, "健康指数") health_index.text = str(organ["health_index"]) normal_range = ET.SubElement(organ_element, "正常范围") normal_range.text = f"{organ['normal_range_min']}-{organ['normal_range_max']}" trend = ET.SubElement(organ_element, "趋势") trend.text = organ["trend"] vertebrae = ET.SubElement(health_assessment, "脊椎") for vertebra in report.health_assessment["vertebrae"]: vertebra_element = ET.SubElement(vertebrae, vertebra["segment"]) health_index = ET.SubElement(vertebra_element, "健康指数") health_index.text = str(vertebra["health_index"]) trend = ET.SubElement(vertebra_element, "趋势") trend.text = vertebra["trend"] meridian_system = ET.SubElement(health_assessment, "经络系统") for meridian in report.health_assessment["meridians"]: meridian_element = ET.SubElement(meridian_system, meridian["meridian"]) health_index = ET.SubElement(meridian_element, "健康指数") health_index.text = str(meridian["health_index"]) normal_range = ET.SubElement(meridian_element, "正常范围") normal_range.text = f"{meridian['normal_range_min']}-{meridian['normal_range_max']}" trend = ET.SubElement(meridian_element, "趋势") trend.text = meridian["trend"] energy_value = ET.SubElement(meridian_element, "能量值") energy_value.text = str(meridian["energy_value"]) six_evils_dialectic = ET.SubElement(diagnostic_report, "六淫辩证") six_evils_dialectic.text = report.six_evils_dialectic seven_emotions_dialectic = ET.SubElement(diagnostic_report, "七情辩证") seven_emotions_dialectic.text = report.seven_emotions_dialectic eight_trigrams_dialectic = ET.SubElement(diagnostic_report, "八卦辩证") eight_trigrams_dialectic.text = report.eight_trigrams_dialectic sixty_four_hexagrams = ET.SubElement(diagnostic_report, "六十四卦复合卦映射标注辨证") sixty_four_hexagrams.text = report.sixty_four_hexagrams nine_nine_to_one_dialectic = ET.SubElement(diagnostic_report, "九九归一辩证") nine_nine_to_one_dialectic.text = report.nine_nine_to_one_dialectic prescriptions = ET.SubElement(diagnostic_report, "处方") for prescription in report.prescriptions: prescription_element = ET.SubElement(prescriptions, "prescription") drug = ET.SubElement(prescription_element, "药物") drug.text = prescription["drug"] dose = ET.SubElement(prescription_element, "剂量") dose.text = prescription["dose"] frequency = ET.SubElement(prescription_element, "频率") frequency.text = prescription["frequency"] wuxing_attribute = ET.SubElement(prescription_element, "五行属性") wuxing_attribute.text = prescription["wuxing_attribute"] bagua_correspondence = ET.SubElement(prescription_element, "八卦对应") bagua_correspondence.text = prescription["bagua_correspondence"] efficacy = ET.SubElement(prescription_element, "功效") efficacy.text = prescription["efficacy"] target_symptoms = ET.SubElement(prescription_element, "针对症状") target_symptoms.text = prescription["target_symptoms"] treatment_plan = ET.SubElement(diagnostic_report, "治疗计划") steps = ET.SubElement(treatment_plan, "步骤") steps.text = report.treatment_plan["steps"] outcome = ET.SubElement(treatment_plan, "治疗效果") treatment_outcome = ET.SubElement(outcome, "效果") treatment_outcome.text = report.treatment_plan["outcome"] treatment_result = ET.SubElement(outcome, "结果") treatment_result.text = report.treatment_plan["result"] commentary = ET.SubElement(diagnostic_report, "医生评论和注释") comment = ET.SubElement(commentary, "评论") comment.text = report.commentary["comment"] note = ET.SubElement(commentary, "注释") note.text = report.commentary["note"] reference = ET.SubElement(diagnostic_report, "参考文献") book = ET.SubElement(reference, "书籍") book.text = report.reference["book"] article = ET.SubElement(reference, "文章") article.text = report.reference["article"] test_results = ET.SubElement(diagnostic_report, "测试结果") test_results.text = report.test_results tomorrow_plan = ET.SubElement(diagnostic_report, "明日计划") plan_content = ET.SubElement(tomorrow_plan, "计划内容") plan_content.text = report.tomorrow_plan diagnostic_information = ET.SubElement(diagnostic_report, "诊断信息") diagnostic_information.text = report.diagnostic_information tree = ET.ElementTree(root) tree.write("diagnostic_report.xml", encoding="utf-8", xml_declaration=True)
### 1. 定义数据结构
#### C++ 数据结构
```cpp
#include <iostream>
#include <string>
#include <vector>
#include <fstream>
struct PatientInfo {
std::string name;
std::string gender;
int age;
std::string contact;
};
struct BackgroundInfo {
std::string birth_date;
std::string eight_characters;
std::string living_environment;
std::string lifestyle;
};
struct Symptoms {
std::string description;
struct PulseChanges {
std::string before;
std::string after;
} pulse_changes;
};
struct Diagnosis {
std::string conclusion;
std::string five_elements_dialectic;
std::string yin_yang_dialectic;
std::string sanjiao_energy_dialectic;
std::string energy_distribution;
std::string qi_mechanism;
std::string meridian_dialectic;
};
struct HealthAssessment {
int overall_health_index;
std::string health_status;
std::string constitution_type;
struct OrganSystem {
std::string organ;
int health_index;
int normal_range_min;
int normal_range_max;
std::string trend;
} organs[2]; // 心脏和肺
struct Vertebrae {
std::string segment;
int health_index;
std::string trend;
} vertebrae[1]; // 颈椎 C1-C2
struct MeridianSystem {
std::string meridian;
int health_index;
int normal_range_min;
int normal_range_max;
std::string trend;
int energy_value;
} meridians[1]; // 手太阴肺经
};
struct Prescription {
std::string drug;
std::string dose;
std::string frequency;
std::string wuxing_attribute;
std::string bagua_correspondence;
std::string efficacy;
std::string target_symptoms;
};
struct TreatmentPlan {
std::string steps;
std::string outcome;
std::string result;
};
struct Commentary {
std::string comment;
std::string note;
};
struct Reference {
std::string book;
std::string article;
};
struct DiagnosticReport {
std::string title;
std::string case_name;
PatientInfo patient_info;
BackgroundInfo background_info;
Symptoms symptoms;
Diagnosis diagnosis;
HealthAssessment health_assessment;
std::string six_evils_dialectic;
std::string seven_emotions_dialectic;
std::string eight_trigrams_dialectic;
std::string sixty_four_hexagrams;
std::string nine_nine_to_one_dialectic;
Prescription prescriptions[2]; // 初诊和复诊
TreatmentPlan treatment_plan;
Commentary commentary;
Reference reference;
std::string test_results;
std::string tomorrow_plan;
std::string diagnostic_information;
};
// 初始化诊断报告
DiagnosticReport createDiagnosticReport() {
DiagnosticReport report;
report.title = "中医健康管理诊断报告 JXWD—LWTGZSYABG—年1968-月4-日4-（十二时辰）0时-AM/PM22.00";
report.case_name = "HDMDLCPYAYS张##女士医案 神经衰弱病 气虚肺肾不交";
report.patient_info = {"张##", "女", 56, "13800138000"};
report.background_info = {"1968-04-04", "甲申年 乙巳月 丙午日 丁酉时", "城市", "办公室工作，压力较大"};
report.symptoms.description = "长期失眠，精神不振，记忆力减退";
report.symptoms.pulse_changes.before = "细弱";
report.symptoms.pulse_changes.after = "沉细";
report.diagnosis.conclusion = "神经衰弱，气虚肺肾不交";
report.diagnosis.five_elements_dialectic = "木火土金水失衡";
report.diagnosis.yin_yang_dialectic = "阴虚阳亢";
report.diagnosis.sanjiao_energy_dialectic = "上焦气滞，中焦脾虚，下焦肾虚";
report.diagnosis.energy_distribution = "心肺气虚，肝肾阴虚";
report.diagnosis.qi_mechanism = "气机失调，升降失常";
report.diagnosis.meridian_dialectic = "手太阴肺经、足少阴肾经虚弱";
report.health_assessment.overall_health_index = 65;
report.health_assessment.health_status = "亚健康";
report.health_assessment.constitution_type = "气虚质";
report.health_assessment.organs[0] = {"心脏", 70, 80, 100, "下降"};
report.health_assessment.organs[1] = {"肺", 60, 80, 100, "下降"};
report.health_assessment.vertebrae[0] = {"C1 - C2", 75, "稳定"};
report.health_assessment.meridians[0] = {"手太阴肺经", 60, 80, 100, "下降", 50};
report.six_evils_dialectic = "风寒湿邪侵袭";
report.seven_emotions_dialectic = "忧思过度";
report.eight_trigrams_dialectic = "乾为天，坤为地，震为雷，巽为风，坎为水，离为火，艮为山，兑为泽";
report.sixty_four_hexagrams = "<解卦> <名称>解卦</名称> <符号>䷘</符号> <内卦>坎</内卦> <外卦>震</外卦> <标记>++++++ +++---</标记> <二进制>111111111000</二进制> <英文全称>Xie Gua</英文全称> <缩写>XG</缩写> <解读>解卦象征解脱、解决，代表着问题的解决和困境的摆脱。解卦的卦辞“利西南，无所往，其来复吉”意味着在西南方向是吉祥的，无所前往则吉祥，返回也是吉祥的。解卦强调了在解决问题中保持灵活的重要性，如《象辞》所言：“雷雨作，解，君子以赦过宥罪。”解卦的六爻变化描绘了在解决问题中的稳定性和策略。</解读>";
report.nine_nine_to_one_dialectic = "核心问题是气虚肺肾不交，需调补气血，固本培元";
report.prescriptions[0] = {"人参生脉饮", "每次3克，每日2次", "早晚各一次", "土", "坤", "补气养血", "气虚乏力"};
report.prescriptions[1] = {"黄芪玉屏风散", "每次5克，每日2次", "早晚各一次", "土", "坤", "益气固表", "气虚自汗"};
report.treatment_plan.steps = "药物治疗：服用上述处方药物，持续一个月；饮食调理：增加蛋白质和维生素摄入，减少油腻食物；生活方式调整：保证充足睡眠，适当运动";
report.treatment_plan.outcome = "患者精神状态明显改善，睡眠质量提高";
report.treatment_plan.result = "治疗有效，建议继续巩固治疗";
report.commentary.comment = "患者需长期坚持治疗，注意生活习惯的调整，定期复诊。";
report.commentary.note = "患者对药物过敏史需特别注意。";
report.reference.book = "《中医内科学》";
report.reference.article = "《中医杂志》，2023年第12期";
report.test_results = "医案XML数据解析：成功解析了医案的XML数据，验证了数据的正确性和完整性；医案输入输出界面：优化了医案的输入输出界面，提高了用户体验；医案数据准确性：确保了医案数据的准确性和一致性。";
report.tomorrow_plan = "完善数据：继续完善数据结构和处理流程，确保所有数据的准确性和完整性，优化数据处理算法，提高系统的响应速度；系统测试：进行更深入的系统测试，特别是边界条件的测试，确保系统的稳定性和可靠性；会议沟通：参加项目会议，分享今日的工作进展并讨论后续计划，与团队成员进行沟通，讨论下一步的开发计划和分工。";
report.diagnostic_information = "诊断结论：脏腑湿热心火相火偏旺；五行辩证：心火相火偏旺；阴阳辩证：左右上中下阳气偏升；三焦能量辩证：上焦：7.2~8 ++，中焦：8~10 +++，下焦：8~10 +++；";
return report;
}
// 生成XML文件
void generateXML(const DiagnosticReport& report, const std::string& filename) {
std::ofstream file(filename);
if (!file.is_open()) {
std::cerr << "无法打开文件 " << filename << std::endl;
return;
}
file << "<?xml version="1.0" encoding="UTF-8"?>n";
file << "<jxwdyy>n";
file << " <诊断报告>n";
file << " <报告标题>" << report.title << "</报告标题>n";
file << " <医案名称>" << report.case_name << "</医案名称>n";
file << " <患者信息>n";
file << " <姓名>" << report.patient_info.name << "</姓名>n";
file << " <性别>" << report.patient_info.gender << "</性别>n";
file << " <年龄>" << report.patient_info.age << "</年龄>n";
file << " <联系方式>" << report.patient_info.contact << "</联系方式>n";
file << " </患者信息>n";
file << " <背景信息>n";
file << " <出生日期>" << report.background_info.birth_date << "</出生日期>n";
file << " <八字分析>" << report.background_info.eight_characters << "</八字分析>n";
file << " <生活环境>" << report.background_info.living_environment << "</生活环境>n";
file << " <生活方式>" << report.background_info.lifestyle << "</生活方式>n";
file << " </背景信息>n";
file << " <症状>n";
file << " <症状描述>" << report.symptoms.description << "</症状描述>n";
file << " <脉象变化>n";
file << " <前>" << report.symptoms.pulse_changes.before << "</前>n";
file << " <后>" << report.symptoms.pulse_changes.after << "</后>n";
file << " </脉象变化>n";
file << " </症状>n";
file << " <诊断>n";
file << " <诊断结论>" << report.diagnosis.conclusion << "</诊断结论>n";
file << " <五行辩证>" << report.diagnosis.five_elements_dialectic << "</五行辩证>n";
file << " <阴阳辩证>" << report.diagnosis.yin_yang_dialectic << "</阴阳辩证>n";
file << " <三焦能量辩证>" << report.diagnosis.sanjiao_energy_dialectic << "</三焦能量辩证>n";
file << " <能量分布>" << report.diagnosis.energy_distribution << "</能量分布>n";
file << " <气机运行情况>" << report.diagnosis.qi_mechanism << "</气机运行情况>n";
file << " <十二正经和八脉辩证>" << report.diagnosis.meridian_dialectic << "</十二正经和八脉辩证>n";
file << " </诊断>n";
file << " <健康评估>n";
file << " <总体健康指数>" << report.health_assessment.overall_health_index << "</总体健康指数>n";
file << " <健康状态>" << report.health_assessment.health_status << "</健康状态>n";
file << " <体质类型>" << report.health_assessment.constitution_type << "</体质类型>n";
file << " <器官系统>n";
for (const auto& organ : report.health_assessment.organs) {
file << " <" << organ.organ << ">n";
file << " <健康指数>" << organ.health_index << "</健康指数>n";
file << " <正常范围>" << organ.normal_range_min << "-" << organ.normal_range_max << "</正常范围>n";
file << " <趋势>" << organ.trend << "</趋势>n";
file << " </" << organ.organ << ">n";
}
file << " </器官系统>n";
file << " <脊椎>n";
for (const auto& vertebra : report.health_assessment.vertebrae) {
file << " <" << vertebra.segment << ">n";
file << " <健康指数>" << vertebra.health_index << "</健康指数>n";
file << " <趋势>" << vertebra.trend << "</趋势>n";
file << " </" << vertebra.segment << ">n";
}
file << " </脊椎>n";
file << " <经络系统>n";
for (const auto& meridian : report.health_assessment.meridians) {
file << " <" << meridian.meridian << ">n";
file << " <健康指数>" << meridian.health_index << "</健康指数>n";
file << " <正常范围>" << meridian.normal_range_min << "-" << meridian.normal_range_max << "</正常范围>n";
file << " <趋势>" << meridian.trend << "</趋势>n";
file << " <能量值>" << meridian.energy_value << "</能量值>n";
file << " </" << meridian.meridian << ">n";
}
file << " </经络系统>n";
file << " </健康评估>n";
file << " <六淫辩证>" << report.six_evils_dialectic << "</六淫辩证>n";
file << " <七情辩证>" << report.seven_emotions_dialectic << "</七情辩证>n";
file << " <八卦辩证>" << report.eight_trigrams_dialectic << "</八卦辩证>n";
file << " <六十四卦复合卦映射标注辨证>n";
file << " " << report.sixty_four_hexagrams << "n";
file << " </六十四卦复合卦映射标注辨证>n";
file << " <九九归一九宫格辩证>n";
file << " <核心问题>" << report.nine_nine_to_one_dialectic << "</核心问题>n";
file << " </九九归一九宫格辩证>n";
file << " <处方>n";
for (const auto& prescription : report.prescriptions) {
file << " <初诊处方>n";
file << " <药物>" << prescription.drug << "</药物>n";
file << " <剂量>" << prescription.dose << "</剂量>n";
file << " <频率>" << prescription.frequency << "</频率>n";
file << " <五行属性>" << prescription.wuxing_attribute << "</五行属性>n";
file << " <八卦对应>" << prescription.bagua_correspondence << "</八卦对应>n";
file << " <功效>" << prescription.efficacy << "</功效>n";
file << " <针对症状>" << prescription.target_symptoms << "</针对症状>n";
file << " </初诊处方>n";
}
file << " </处方>n";
file << " <治疗计划>n";
file << " <步骤>" << report.treatment_plan.steps << "</步骤>n";
file << " <治疗效果>n";
file << " <效果>" << report.treatment_plan.outcome << "</效果>n";
file << " <结果>" << report.treatment_plan.result << "</结果>n";
file << " </治疗效果>n";
file << " </治疗计划>n";
file << " <医生评论和注释>n";
file << " <评论>" << report.commentary.comment << "</评论>n";
file << " <注释>" << report.commentary.note << "</注释>n";
file << " </医生评论和注释>n";
file << " <参考文献>n";
file << " <书籍>" << report.reference.book << "</书籍>n";
file << " <文章>" << report.reference.article << "</文章>n";
file << " </参考文献>n";
file << " <测试结果>n";
file << " " << report.test_results << "n";
file << " </测试结果>n";
file << " <明日计划>n";
file << " " << report.tomorrow_plan << "n";
file << " </明日计划>n";
file << " <诊断信息>n";
file << " " << report.diagnostic_information << "n";
file << " </诊断信息>n";
file << " </诊断报告>n";
file << "</jxwdyy>n";
file.close();
}
int main() {
DiagnosticReport report = createDiagnosticReport();
generateXML(report, "diagnostic_report.xml");
return 0;
}Python 数据结构
import xml.etree.ElementTree as ET
class PatientInfo:
def __init__(self, name, gender, age, contact):
self.name = name
self.gender = gender
self.age = age
self.contact = contact
class BackgroundInfo:
def __init__(self, birth_date, eight_characters, living_environment, lifestyle):
self.birth_date = birth_date
self.eight_characters = eight_characters
self.living_environment = living_environment
self.lifestyle = lifestyle
class Symptoms:
def __init__(self, description, pulse_changes_before, pulse_changes_after):
self.description = description
self.pulse_changes_before = pulse_changes_before
self.pulse_changes_after = pulse_changes_after
class Diagnosis:
def __init__(self, conclusion, five_elements_dialectic, yin_yang_dialectic, sanjiao_energy_dialectic, energy_distribution, qi_mechanism, meridian_dialectic):
self.conclusion = conclusion
self.five_elements_dialectic = five_elements_dialectic
self.yin_yang_dialectic = yin_yang_dialectic
self.sanjiao_energy_dialectic = sanjiao_energy_dialectic
self.energy_distribution = energy_distribution
self.qi_mechanism = qi_mechanism
self.meridian_dialectic = meridian_dialectic
class HealthAssessment:
def __init__(self, overall_health_index, health_status, constitution_type, organs, vertebrae, meridians):
self.overall_health_index = overall_health_index
self.health_status = health_status
self.constitution_type = constitution_type
self.organs = organs
self.vertebrae = vertebrae
self.meridians = meridians
class Prescription:
def __init__(self, drug, dose, frequency, wuxing_attribute, bagua_correspondence, efficacy, target_symptoms):
self.drug = drug
self.dose = dose
self.frequency = frequency
self.wuxing_attribute = wuxing_attribute
self.bagua_correspondence = bagua_correspondence
self.efficacy = efficacy
self.target_symptoms = target_symptoms
class TreatmentPlan:
def __init__(self, steps, outcome, result):
self.steps = steps
self.outcome = outcome
self.result = result
class Commentary:
def __init__(self, comment, note):
self.comment = comment
self.note = note
class Reference:
def __init__(self, book, article):
self.book = book
self.article = article
class DiagnosticReport:
def __init__(self, title, case_name, patient_info, background_info, symptoms, diagnosis, health_assessment, six_evils_dialectic, seven_emotions_dialectic, eight_trigrams_dialectic, sixty_four_hexagrams, nine_nine_to_one_dialectic, prescriptions, treatment_plan, commentary, reference, test_results, tomorrow_plan, diagnostic_information):
self.title = title
self.case_name = case_name
self.patient_info = patient_info
self.background_info = background_info
self.symptoms = symptoms
self.diagnosis = diagnosis
self.health_assessment = health_assessment
self.six_evils_dialectic = six_evils_dialectic
self.seven_emotions_dialectic = seven_emotions_dialectic
self.eight_trigrams_dialectic = eight_trigrams_dialectic
self.sixty_four_hexagrams = sixty_four_hexagrams
self.nine_nine_to_one_dialectic = nine_nine_to_one_dialectic
self.prescriptions = prescriptions
self.treatment_plan = treatment_plan
self.commentary = commentary
self.reference = reference
self.test_results = test_results
self.tomorrow_plan = tomorrow_plan
self.diagnostic_information = diagnostic_information
def create_diagnostic_report():
patient_info = PatientInfo("张##", "女", 56, "13800138000")
background_info = BackgroundInfo("1968-04-04", "甲申年 乙巳月 丙午日 丁酉时", "城市", "办公室工作，压力较大")
symptoms = Symptoms("长期失眠，精神不振，记忆力减退", "细弱", "沉细")
diagnosis = Diagnosis(
"神经衰弱，气虚肺肾不交",
"木火土金水失衡",
"阴虚阳亢",
"上焦气滞，中焦脾虚，下焦肾虚",
"心肺气虚，肝肾阴虚",
"气机失调，升降失常",
"手太阴肺经、足少阴肾经虚弱"
)
organs = [
{"organ": "心脏", "health_index": 70, "normal_range_min": 80, "normal_range_max": 100, "trend": "下降"},
{"organ": "肺", "health_index": 60, "normal_range_min": 80, "normal_range_max": 100, "trend": "下降"}
]
vertebrae = [
{"segment": "C1 - C2", "health_index": 75, "trend": "稳定"}
]
meridians = [
{"meridian": "手太阴肺经", "health_index": 60, "normal_range_min": 80, "normal_range_max": 100, "trend": "下降", "energy_value": 50}
]
health_assessment = HealthAssessment(65, "亚健康", "气虚质", organs, vertebrae, meridians)
six_evils_dialectic = "风寒湿邪侵袭"
seven_emotions_dialectic = "忧思过度"
eight_trigrams_dialectic = "乾为天，坤为地，震为雷，巽为风，坎为水，离为火，艮为山，兑为泽"
sixty_four_hexagrams = "<解卦> <名称>解卦</名称> <符号>䷘</符号> <内卦>坎</内卦> <外卦>震</外卦> <标记>++++++ +++---</标记> <二进制>111111111000</二进制> <英文全称>Xie Gua</英文全称> <缩写>XG</缩写> <解读>解卦象征解脱、解决，代表着问题的解决和困境的摆脱。解卦的卦辞“利西南，无所往，其来复吉”意味着在西南方向是吉祥的，无所前往则吉祥，返回也是吉祥的。解卦强调了在解决问题中保持灵活的重要性，如《象辞》所言：“雷雨作，解，君子以赦过宥罪。”解卦的六爻变化描绘了在解决问题中的稳定性和策略。</解读>"
nine_nine_to_one_dialectic = "核心问题是气虚肺肾不交，需调补气血，固本培元"
prescriptions = [
Prescription("人参生脉饮", "每次3克，每日2次", "早晚各一次", "土", "坤", "补气养血", "气虚乏力"),
Prescription("黄芪玉屏风散", "每次5克，每日2次", "早晚各一次", "土", "坤", "益气固表", "气虚自汗")
]
treatment_plan = TreatmentPlan(
"药物治疗：服用上述处方药物，持续一个月；饮食调理：增加蛋白质和维生素摄入，减少油腻食物；生活方式调整：保证充足睡眠，适当运动",
"患者精神状态明显改善，睡眠质量提高",
"治疗有效，建议继续巩固治疗"
)
commentary = Commentary(
"患者需长期坚持治疗，注意生活习惯的调整，定期复诊。",
"患者对药物过敏史需特别注意。"
)
reference = Reference("《中医内科学》", "《中医杂志》，2023年第12期")
test_results = "医案XML数据解析：成功解析了医案的XML数据，验证了数据的正确性和完整性；医案输入输出界面：优化了医案的输入输出界面，提高了用户体验；医案数据准确性：确保了医案数据的准确性和一致性。"
tomorrow_plan = "完善数据：继续完善数据结构和处理流程，确保所有数据的准确性和完整性，优化数据处理算法，提高系统的响应速度；系统测试：进行更深入的系统测试，特别是边界条件的测试，确保系统的稳定性和可靠性；会议沟通：参加项目会议，分享今日的工作进展并讨论后续计划，与团队成员进行沟通，讨论下一步的开发计划和分工。"
diagnostic_information = "诊断结论：脏腑湿热心火相火偏旺；五行辩证：心火相火偏旺；阴阳辩证：左右上中下阳气偏升；三焦能量辩证：上焦：7.2~8 ++，中焦：8~10 +++，下焦：8~10 +++；"
return DiagnosticReport(
"中医健康管理诊断报告 JXWD—LWTGZSYABG—年1968-月4-日4-（十二时辰）0时-AM/PM22.00",
"HDMDLCPYAYS张##女士医案 神经衰弱病 气虚肺肾不交",
patient_info,
background_info,
symptoms,
diagnosis,
health_assessment,
six_evils_dialectic,
seven_emotions_dialectic,
eight_trigrams_dialectic,
sixty_four_hexagrams,
nine_nine_to_one_dialectic,
prescriptions,
treatment_plan,
commentary,
reference,
test_results,
tomorrow_plan,
diagnostic_information
)
def generate_xml(report, filename):
root = ET.Element("jxwdyy")
diagnosis_report = ET.SubElement(root, "诊断报告")
ET.SubElement(diagnosis_report, "报告标题").text = report.title
ET.SubElement(diagnosis_report, "医案名称").text = report.case_name
patient_info_elem = ET.SubElement(diagnosis_report, "患者信息")
ET.SubElement(patient_info_elem, "姓名").text = report.patient_info.name
ET.SubElement(patient_info_elem, "性别").text = report.patient_info.gender
ET.SubElement(patient_info_elem, "年龄").text = str(report.patient_info.age)
ET.SubElement(patient_info_elem, "联系方式").text = report.patient_info.contact
background_info_elem = ET.SubElement(diagnosis_report, "背景信息")
ET.SubElement(background_info_elem, "出生日期").text = report.background_info.birth_date
ET.SubElement(background_info_elem, "八字分析").text = report.background_info.eight_characters
ET.SubElement(background_info_elem, "生活环境").text = report.background_info.living_environment
ET.SubElement(background_info_elem, "生活方式").text = report.background_info.lifestyle
symptoms_elem = ET.SubElement(diagnosis_report, "症状")
ET.SubElement(symptoms_elem, "症状描述").text = report.symptoms.description
pulse_changes_elem = ET.SubElement(symptoms_elem, "脉象变化")
ET.SubElement(pulse_changes_elem, "前").text = report.symptoms.pulse_changes_before
ET.SubElement(pulse_changes_elem, "后").text = report.symptoms.pulse_changes_after
diagnosis_elem = ET.SubElement(diagnosis_report, "诊断")
ET.SubElement(diagnosis_elem, "诊断结论").text = report.diagnosis.conclusion
ET.SubElement(diagnosis_elem, "五行辩证").text = report.diagnosis.five_elements_dialectic
ET.SubElement(diagnosis_elem, "阴阳辩证").text = report.diagnosis.yin_yang_dialectic
ET.SubElement(diagnosis_elem, "三焦能量辩证").text = report.diagnosis.sanjiao_energy_dialectic
ET.SubElement(diagnosis_elem, "能量分布").text = report.diagnosis.energy_distribution
ET.SubElement(diagnosis_elem, "气机运行情况").text = report.diagnosis.qi_mechanism
ET.SubElement(diagnosis_elem, "十二正经和八脉辩证").text = report.diagnosis.meridian_dialectic
health_assessment_elem = ET.SubElement(diagnosis_report, "健康评估")
ET.SubElement(health_assessment_elem, "总体健康指数").text = str(report.health_assessment.overall_health_index)
ET.SubElement(health_assessment_elem, "健康状态").text = report.health_assessment.health_status
ET.SubElement(health_assessment_elem, "体质类型").text = report.health_assessment.constitution_type
organs_elem = ET.SubElement(health_assessment_elem, "器官系统")
for organ in report.health_assessment.organs:
organ_elem = ET.SubElement(organs_elem, organ["organ"])
ET.SubElement(organ_elem, "健康指数").text = str(organ["health_index"])
ET.SubElement(organ_elem, "正常范围").text = f"{organ['normal_range_min']}-{organ['normal_range_max']}"
ET.SubElement(organ_elem, "趋势").text = organ["trend"]
vertebrae_elem = ET.SubElement(health_assessment_elem, "脊椎")
for vertebra in report.health_assessment.vertebrae:
vertebra_elem = ET.SubElement(vertebrae_elem, vertebra["segment"])
ET.SubElement(vertebra_elem, "健康指数").text = str(vertebra["health_index"])
ET.SubElement(vertebra_elem, "趋势").text = vertebra["trend"]
meridians_elem = ET.SubElement(health_assessment_elem, "经络系统")
for meridian in report.health_assessment.meridians:
meridian_elem = ET.SubElement(meridians_elem, meridian["meridian"])
ET.SubElement(meridian_elem, "健康指数").text = str(meridian["health_index"])
ET.SubElement(meridian_elem, "正常范围").text = f"{meridian['normal_range_min']}-{meridian['normal_range_max']}"
ET.SubElement(meridian_elem, "趋势").text = meridian["trend"]
ET.SubElement(meridian_elem, "能量值").text = str(meridian["energy_value"])
ET.SubElement(diagnosis_report, "六淫辩证").text = report.six_evils_dialectic
ET.SubElement(diagnosis_report, "七情辩证").text = report.seven_emotions_dialectic
ET.SubElement(diagnosis_report, "八卦辩证").text = report.eight_trigrams_dialectic
ET.SubElement(diagnosis_report, "六十四卦复合卦映射标注辨证").text = report.sixty_four_hexagrams
ET.SubElement(diagnosis_report, "九九归一九宫格辩证").text = report.nine_nine_to_one_dialectic
prescriptions_elem = ET.SubElement(diagnosis_report, "处方")
for prescription in report.prescriptions:
prescription_elem = ET.SubElement(prescriptions_elem, "初诊处方")
ET.SubElement(prescription_elem, "药物").text = prescription.drug
ET.SubElement(prescription_elem, "剂量").text = prescription.dose
ET.SubElement(prescription_elem, "频率").text = prescription.frequency
ET.SubElement(prescription_elem, "五行属性").text = prescription.wuxing_attribute
ET.SubElement(prescription_elem, "八卦对应").text = prescription.bagua_correspondence
ET.SubElement(prescription_elem, "功效").text = prescription.efficacy
ET.SubElement(prescription_elem, "针对症状").text = prescription.target_symptoms
treatment_plan_elem = ET.SubElement(diagnosis_report, "治疗计划")
ET.SubElement(treatment_plan_elem, "步骤").text = report.treatment_plan.steps
outcome_elem = ET.SubElement(treatment_plan_elem, "治疗效果")
ET.SubElement(outcome_elem, "效果").text = report.treatment_plan.outcome
ET.SubElement(outcome_elem, "结果").text = report.treatment_plan.result
commentary_elem = ET.SubElement(diagnosis_report, "医生评论和注释")
ET.SubElement(commentary_elem, "评论").text = report.commentary.comment
ET.SubElement(commentary_elem, "注释").text = report.commentary.note
reference_elem = ET.SubElement(diagnosis_report, "参考文献")
ET.SubElement(reference_elem, "书籍").text = report.reference.book
ET.SubElement(reference_elem, "文章").text = report.reference.article
test_results_elem = ET.SubElement(diagnosis_report, "测试结果")
test_results_elem.text = report.test_results
tomorrow_plan_elem = ET.SubElement(diagnosis_report, "明日计划")
tomorrow_plan_elem.text = report.tomorrow_plan
diagnostic_information_elem = ET.SubElement(diagnosis_report, "诊断信息")
diagnostic_information_elem.text = report.diagnostic_information
tree = ET.ElementTree(root)
tree.write(filename, encoding="utf-8", xml_declaration=True)
if __name__ == "__main__":
report = create_diagnostic_report()
generate_xml(report, "diagnostic_report.xml")2. 生成XML文件
-
编译和运行C++程序：
- 使用C++编译器编译并运行上述C++代码，生成XML文件。
-
运行Python脚本：
- 运行上述Python脚本，生成XML文件。
通过以上步骤，你可以将提供的中医健康管理诊断报告转换成C++和Python编程语言的代码，并生成符合JXWDYYAutoDevXML数据集框架的XML文件。#include
1. JSON 格式化
{
"name": "镜心悟道AI易经智能'大脑'大模型",
"short_name": "MMAIICILM",
"description": "这是一个基于易经知识和现代AI技术的大规模智能模型，旨在提供全面的健康管理和诊断支持。",
"components": [
{
"type": "knowledge_base",
"name": "易经知识库",
"description": "存储和管理易经相关知识和数据"
},
{
"type": "ai_engine",
"name": "AI推理引擎",
"description": "执行基于易经知识的推理和决策"
},
{
"type": "user_interface",
"name": "用户交互界面",
"description": "提供用户友好的交互界面，支持输入和查看结果"
},
{
"type": "mpids",
"name": "镜心脉象智辨系统",
"description": "处理脉象信号，识别五行不平衡"
},
{
"type": "msa",
"name": "元智能体搜索",
"description": "抓取相关文献和研究报告，整合到知识库中"
},
{
"type": "clas",
"name": "闭环算法系统",
"description": "实现任务调度和迭代优化"
},
{
"type": "ilnba",
"name": "九九归一无限循环接近平衡算法",
"description": "设计多维度评估和全息辩证工作流程"
}
]
}2. XML 格式化
<?xml version="1.0" encoding="UTF-8"?>
<jxwdyy>
<model>
<name>镜心悟道AI易经智能'大脑'大模型</name>
<short_name>MMAIICILM</short_name>
<description>这是一个基于易经知识和现代AI技术的大规模智能模型，旨在提供全面的健康管理和诊断支持。</description>
<components>
<component type="knowledge_base">
<name>易经知识库</name>
<description>存储和管理易经相关知识和数据</description>
</component>
<component type="ai_engine">
<name>AI推理引擎</name>
<description>执行基于易经知识的推理和决策</description>
</component>
<component type="user_interface">
<name>用户交互界面</name>
<description>提供用户友好的交互界面，支持输入和查看结果</description>
</component>
<component type="mpids">
<name>镜心脉象智辨系统</name>
<description>处理脉象信号，识别五行不平衡</description>
</component>
<component type="msa">
<name>元智能体搜索</name>
<description>抓取相关文献和研究报告，整合到知识库中</description>
</component>
<component type="clas">
<name>闭环算法系统</name>
<description>实现任务调度和迭代优化</description>
</component>
<component type="ilnba">
<name>九九归一无限循环接近平衡算法</name>
<description>设计多维度评估和全息辩证工作流程</description>
</component>
</components>
</model>
</jxwdyy>3. Julia 格式化
struct Component
component_type::String
name::String
description::String
end
struct Model
name::String
short_name::String
description::String
components::Vector{Component}
end
components = [
Component("knowledge_base", "易经知识库", "存储和管理易经相关知识和数据"),
Component("ai_engine", "AI推理引擎", "执行基于易经知识的推理和决策"),
Component("user_interface", "用户交互界面", "提供用户友好的交互界面，支持输入和查看结果"),
Component("mpids", "镜心脉象智辨系统", "处理脉象信号，识别五行不平衡"),
Component("msa", "元智能体搜索", "抓取相关文献和研究报告，整合到知识库中"),
Component("clas", "闭环算法系统", "实现任务调度和迭代优化"),
Component("ilnba", "九九归一无限循环接近平衡算法", "设计多维度评估和全息辩证工作流程")
]
model = Model("镜心悟道AI易经智能'大脑'大模型", "MMAIICILM", "这是一个基于易经知识和现代AI技术的大规模智能模型，旨在提供全面的健康管理和诊断支持。", components)4. DSL 格式化
model MMAIICILM {
name: "镜心悟道AI易经智能'大脑'大模型"
description: "这是一个基于易经知识和现代AI技术的大规模智能模型，旨在提供全面的健康管理和诊断支持。"
components: [
component knowledge_base {
name: "易经知识库"
description: "存储和管理易经相关知识和数据"
},
component ai_engine {
name: "AI推理引擎"
description: "执行基于易经知识的推理和决策"
},
component user_interface {
name: "用户交互界面"
description: "提供用户友好的交互界面，支持输入和查看结果"
},
component mpids {
name: "镜心脉象智辨系统"
description: "处理脉象信号，识别五行不平衡"
},
component msa {
name: "元智能体搜索"
description: "抓取相关文献和研究报告，整合到知识库中"
},
component clas {
name: "闭环算法系统"
description: "实现任务调度和迭代优化"
},
component ilnba {
name: "九九归一无限循环接近平衡算法"
description: "设计多维度评估和全息辩证工作流程"
}
]
}5. Lisp 格式化
(defparameter *model*
(list :name "镜心悟道AI易经智能'大脑'大模型"
:short_name "MMAIICILM"
:description "这是一个基于易经知识和现代AI技术的大规模智能模型，旨在提供全面的健康管理和诊断支持。"
:components (list
(list :type "knowledge_base" :name "易经知识库" :description "存储和管理易经相关知识和数据")
(list :type "ai_engine" :name "AI推理引擎" :description "执行基于易经知识的推理和决策")
(list :type "user_interface" :name "用户交互界面" :description "提供用户友好的交互界面，支持输入和查看结果")
(list :type "mpids" :name "镜心脉象智辨系统" :description "处理脉象信号，识别五行不平衡")
(list :type "msa" :name "元智能体搜索" :description "抓取相关文献和研究报告，整合到知识库中")
(list :type "clas" :name "闭环算法系统" :description "实现任务调度和迭代优化")
(list :type "ilnba" :name "九九归一无限循环接近平衡算法" :description "设计多维度评估和全息辩证工作流程"))))6. XHTML 格式化
<!DOCTYPE html>
<html>
<head>
<title>镜心悟道AI易经智能'大脑'大模型</title>
</head>
<body>
<h1>镜心悟道AI易经智能'大脑'大模型 (MMAIICILM)</h1>
<p>这是一个基于易经知识和现代AI技术的大规模智能模型，旨在提供全面的健康管理和诊断支持。</p>
<h2>系统组件</h2>
<ul>
<li>
<strong>类型:</strong> knowledge_base
<br>
<strong>名称:</strong> 易经知识库
<br>
<strong>描述:</strong> 存储和管理易经相关知识和数据
</li>
<li>
<strong>类型:</strong> ai_engine
<br>
<strong>名称:</strong> AI推理引擎
<br>
<strong>描述:</strong> 执行基于易经知识的推理和决策
</li>
<li>
<strong>类型:</strong> user_interface
<br>
<strong>名称:</strong> 用户交互界面
<br>
<strong>描述:</strong> 提供用户友好的交互界面，支持输入和查看结果
</li>
<li>
<strong>类型:</strong> mpids
<br>
<strong>名称:</strong> 镜心脉象智辨系统
<br>
<strong>描述:</strong> 处理脉象信号，识别五行不平衡
</li>
<li>
<strong>类型:</strong> msa
<br>
<strong>名称:</strong> 元智能体搜索
<br>
<strong>描述:</strong> 抓取相关文献和研究报告，整合到知识库中
</li>
<li>
<strong>类型:</strong> clas
<br>
<strong>名称:</strong> 闭环算法系统
<br>
<strong>描述:</strong> 实现任务调度和迭代优化
</li>
<li>
<strong>类型:</strong> ilnba
<br>
<strong>名称:</strong> 九九归一无限循环接近平衡算法
<br>
<strong>描述:</strong> 设计多维度评估和全息辩证工作流程
</li>
</ul>
</body>
</html>7. LDL 格式化
@prefix jxwdyy: <http://example.org/jxwdyy#>.
jxwdyy:model jxwdyy:name "镜心悟道AI易经智能'大脑'大模型" ;
jxwdyy:shortName "MMAIICILM" ;
jxwdyy:description "这是一个基于易经知识和现代AI技术的大规模智能模型，旨在提供全面的健康管理和诊断支持。" ;
jxwdyy:hasComponent [
a jxwdyy:Component ;
jxwdyy:type "knowledge_base" ;
jxwdyy:name "易经知识库" ;
jxwdyy:description "存储和管理易经相关知识和数据"
],
[
a jxwdyy:Component ;
jxwdyy:type "ai_engine" ;
jxwdyy:name "AI推理引擎" ;
jxwdyy:description "执行基于易经知识的推理和决策"
],
[
a jxwdyy:Component ;
jxwdyy:type "user_interface" ;
jxwdyy:name "用户交互界面" ;
jxwdyy:description "提供用户友好的交互界面，支持输入和查看结果"
],
[
a jxwdyy:Component ;
jxwdyy:type "mpids" ;
jxwdyy:name "镜心脉象智辨系统" ;
jxwdyy:description "处理脉象信号，识别五行不平衡"
],
[
a jxwdyy:Component ;
jxwdyy:type "msa" ;
jxwdyy:name "元智能体搜索" ;
jxwdyy:description "抓取相关文献和研究报告，整合到知识库中"
],
[
a jxwdyy:Component ;
jxwdyy:type "clas" ;
jxwdyy:name "闭环算法系统" ;
jxwdyy:description "实现任务调度和迭代优化"
],
[
a jxwdyy:Component ;
jxwdyy:type "ilnba" ;
jxwdyy:name "九九归一无限循环接近平衡算法" ;
jxwdyy:description "设计多维度评估和全息辩证工作流程"
].8. C++ 和 Python 编程语言 + YAML 解析
C++ 代码
#include <iostream>
#include <vector>
#include <string>
#include <yaml-cpp/yaml.h>
struct Component {
std::string type;
std::string name;
std::string description;
};
struct Model {
std::string name;
std::string short_name;
std::string description;
std::vector<Component> components;
};
void parseYAML(const std::string& filename, Model& model) {
YAML::Node config = YAML::LoadFile(filename);
model.name = config["name"].as<std::string>();
model.short_name = config["short_name"].as<std::string>();
model.description = config["description"].as<std::string>();
const YAML::Node& components_node = config["components"];
for (const auto& component_node : components_node) {
Component component;
component.type = component_node["type"].as<std::string>();
component.name = component_node["name"].as<std::string>();
component.description = component_node["description"].as<std::string>();
model.components.push_back(component);
}
}
int main() {
Model model;
parseYAML("model.yaml", model);
std::cout << "Name: " << model.name << "n";
std::cout << "Short Name: " << model.short_name << "n";
std::cout << "Description: " << model.description << "n";
for (const auto& component : model.components) {
std::cout << "Type: " << component.type << "n";
std::cout << "Name: " << component.name << "n";
std::cout << "Description: " << component.description << "nn";
}
return 0;
}Python 代码
import yaml
def parse_yaml(filename):
with open(filename, 'r', encoding='utf-8') as file:
data = yaml.safe_load(file)
model = {
"name": data["name"],
"short_name": data["short_name"],
"description": data["description"],
"components": [
{
"type": component["type"],
"name": component["name"],
"description": component["description"]
}
for component in data["components"]
]
}
return model
if __name__ == "__main__":
model = parse_yaml("model.yaml")
print(f"Name: {model['name']}")
print(f"Short Name: {model['short_name']}")
print(f"Description: {model['description']}")
for component in model['components']:
print(f"Type: {component['type']}")
print(f"Name: {component['name']}")
print(f"Description: {component['description']}n")9. 转换成 JXWDYYAutoDev 镜心悟道医工工程师小镜 MoDEAI + 中医健康管理智能体助理 “XiaoJingChatBotDQNMoDEAgent” 语言矩阵框架
JSON 格式化
{
"name": "镜心悟道AI易经智能'大脑'大模型",
"short_name": "MMAIICILM",
"description": "这是一个基于易经知识和现代AI技术的大规模智能模型，旨在提供全面的健康管理和诊断支持。",
"components": [
{
"type": "knowledge_base",
"name": "易经知识库",
"description": "存储和管理易经相关知识和数据"
},
{
"type": "ai_engine",
"name": "AI推理引擎",
"description": "执行基于易经知识的推理和决策"
},
{
"type": "user_interface",
"name": "用户交互界面",
"description": "提供用户友好的交互界面，支持输入和查看结果"
},
{
"type": "mpids",
"name": "镜心脉象智辨系统",
"description": "处理脉象信号，识别五行不平衡"
},
{
"type": "msa",
"name": "元智能体搜索",
"description": "抓取相关文献和研究报告，整合到知识库中"
},
{
"type": "clas",
"name": "闭环算法系统",
"description": "实现任务调度和迭代优化"
},
{
"type": "ilnba",
"name": "九九归一无限循环接近平衡算法",
"description": "设计多维度评估和全息辩证工作流程"
}
],
"assistant": {
"name": "XiaoJingChatBotDQNMoDEAgent",
"description": "中医健康管理智能体助理，通过对话和推荐提供个性化的健康管理方案。"
}
}10. 解析和转换函数
Python 解析和转换函数
import json
import xml.etree.ElementTree as ET
import yaml
def parse_json(json_data):
return json.loads(json_data)
def convert_to_xml(data):
root = ET.Element("jxwdyy")
model = ET.SubElement(root, "model")
ET.SubElement(model, "name").text = data["name"]
ET.SubElement(model, "short_name").text = data["short_name"]
ET.SubElement(model, "description").text = data["description"]
components = ET.SubElement(model, "components")
for component in data["components"]:
comp = ET.SubElement(components, "component")
comp.set("type", component["type"])
ET.SubElement(comp, "name").text = component["name"]
ET.SubElement(comp, "description").text = component["description"]
assistant = ET.SubElement(model, "assistant")
ET.SubElement(assistant, "name").text = data["assistant"]["name"]
ET.SubElement(assistant, "description").text = data["assistant"]["description"]
return ET.tostring(root, encoding="unicode")
def convert_to_yaml(data):
return yaml.dump(data)
def main():
json_data = """
{
"name": "镜心悟道AI易经智能'大脑'大模型",
"short_name": "MMAIICILM",
"description": "这是一个基于易经知识和现代AI技术的大规模智能模型，旨在提供全面的健康管理和诊断支持。",
"components": [
{
"type": "knowledge_base",
"name": "易经知识库",
"description": "存储和管理易经相关知识和数据"
},
{
"type": "ai_engine",
"name": "AI推理引擎",
"description": "执行基于易经知识的推理和决策"
},
{
"type": "user_interface",
"name": "用户交互界面",
"description": "提供用户友好的交互界面，支持输入和查看结果"
},
{
"type": "mpids",
"name": "镜心脉象智辨系统",
"description": "处理脉象信号，识别五行不平衡"
},
{
"type": "msa",
"name": "元智能体搜索",
"description": "抓取相关文献和研究报告，整合到知识库中"
},
{
"type": "clas",
"name": "闭环算法系统",
"description": "实现任务调度和迭代优化"
},
{
"type": "ilnba",
"name": "九九归一无限循环接近平衡算法",
"description": "设计多维度评估和全息辩证工作流程"
}
],
"assistant": {
"name": "XiaoJingChatBotDQNMoDEAgent",
"description": "中医健康管理智能体助理，通过对话和推荐提供个性化的健康管理方案。"
}
}
"""
data = parse_json(json_data)
xml_data = convert_to_xml(data)
yaml_data = convert_to_yaml(data)
print("XML Data:")
print(xml_data)
print("nYAML Data:")
print(yaml_data)
if __name__ == "__main__":
main()
<?xml version="1.0" encoding="UTF-8"?>
<jxwdyy>
<project>
<background>
<initiative>中医健康管理与现代人工智能技术的结合。</initiative>
</background>
<technical_implementation>
<knowledge_base>
<database_design>使用关系型数据库（如PostgreSQL）或图数据库（如Neo4j）来存储结构化和半结构化的数据。</database_design>
<data_import>开发脚本从现有的医学文献、易经资料和其他来源导入数据。</data_import>
<query_interface>构建RESTful API或GraphQL接口，以便其他组件可以访问知识库。</query_interface>
</knowledge_base>
<ai_engine>
<model_selection>根据具体需求选择合适的机器学习模型，如决策树、随机森林、神经网络等。</model_selection>
<training_data>收集大量历史病例数据，并进行预处理以供模型训练。</training_data>
<inference_service>使用Flask或FastAPI部署推理服务，确保实时响应用户请求。</inference_service>
<continuous_learning>实现模型的在线学习机制，使其能够随着新数据的积累而不断改进。</continuous_learning>
</ai_engine>
<user_interface>
<frontend_framework>使用React, Vue.js或Angular构建响应式Web界面。</frontend_framework>
<backend_support>使用Node.js, Django或Flask提供后端支持，处理业务逻辑和数据交换。</backend_support>
<user_experience>设计简洁直观的界面，确保用户可以轻松地输入信息并查看结果。</user_experience>
</user_interface>
<mpids>
<signal_processing>使用Python的科学计算库（如SciPy, NumPy）进行脉象信号的预处理和特征提取。</signal_processing>
<imbalance_identification>开发自定义算法或使用现有的机器学习方法来识别五行之间的不平衡。</imbalance_identation>
<sensor_integration>如果涉及硬件，确保有稳定的接口来接收脉象数据。</sensor_integration>
</mpids>
<msa>
<crawler_technology>使用Scrapy或Beautiful Soup抓取相关文献和研究报告。</crawler_technology>
<information_integration>将抓取的信息整合到知识库中，可能需要进行自然语言处理（NLP）来标准化数据。</information_integration>
</msa>
<clas_ilnba>
<task_scheduling>使用Celery或Airflow来安排和监控算法流程。</task_scheduling>
<iterative_optimization>设计迭代算法，定期检查系统性能并调整参数以保持稳定性和高效性。</iterative_opteration>
</clas_ilnba>
<tetdic_other_algorithms>
<multi_dimensional_evaluation>综合考虑生理、心理和环境因素，设计相应的评估算法。</multi_dimensional_evaluation>
<holographic_dialectical_workflow>创建一个多层的工作流，每个层次都有其特定的逻辑和目标。</holographic_dialectical_workflow>
<continuous_improvement>随着研究的深入，不断更新和完善算法模型。</continuous_improvement>
</tetdic_other_alations>
</technical_implementation>
<implementation_steps>
<requirement_analysis>明确系统的需求和预期功能。</requirement_analysis>
<architecture_design>设计整体架构，确定各个组件之间的交互方式。</architecture_design>
<prototype_development>快速开发出一个基本的原型，以验证核心概念。</prototype_decovery>
<detail_development>逐步完善各个组件，进行详细的编码工作。</detail_development>
<testing>对整个系统进行单元测试、集成测试和性能测试。</testing>
<deployment>将系统部署到生产环境中，并进行持续监控。</deployment>
<maintenance_and_upgrade>根据用户反馈和技术发展，不断维护和升级系统。</maintenance_and_upgrade>
</implementation_steps>
<dataset_framework>
<language>Cpp+Python</language>
<conversion_to_jxwdyy_auto_dev_xml>Convert To JXWDYYAutoDevXML数据集框架</conversion_to_jxwdrangle_auto_dev_xml>
</dataset_framework>
</project>
</jxwdyy>】<JXWDYY-AutoDev-XML> <Case> 今日工作预备方案（2024年11月9日）
<?xml version="1.0" encoding="UTF-8"?>
<jxwdyy>
<project>
<background>
<initiative>中医健康管理与现代人工智能技术的结合。</initiative>
<objectives>
<objective>实现中医健康管理知识的数字化和智能化。</objective>
<objective>提供个性化的健康管理方案。</objective>
<objective>推动中医理论的现代化发展。</objective>
</objectives>
</background>
<technical_implementation>
<core_component>MMAIICILM-JXWDAIYijingBrainBase 类</core_component>
<key_technologies>
<technology>NLP</technology>
<technology>ML</technology>
<technology>知识图谱构建</technology>
<technology>API集成</technology>
<technology>UI设计</technology>
<technology>安全性和隐私保护</technology>
</key_technistics>
<data_parsing>
<methods>高效的数据解析算法</methods>
<format>XML格式化</format>
<validation>数据一致性验证</validation>
<error_handling>错误处理机制</error_handling>
<performance>性能优化</performance>
</data_parsing>
</technical_implementation>
<career_development>
<new_identity>镜心悟道医工工程师小镜 MoDEAI+中医健康管理</new_identity>
<development_goals>
<goal>智能诊断系统开发</goal>
<goal>个性化健康管理方案</goal>
<goal>中医知识图谱构建</goal>
<goal>远程医疗咨询平台</goal>
<goal>中医治疗效果评估</goal>
</development_goals>
</career_development>
<system_testing>
<testing_objective>验证XML格式化的医案数据能否被系统正确解析。</testing_objective>
<testing_methods>选取多个医案样本进行XML格式化测试。</testing_methods>
<testing_results>所有测试样本均能被成功解析。</testing_results>
<performance_indicators>解析速度平均为XX毫秒/条医案，准确率达到100%。</performance_indicators>
<error_handling>系统能够识别并提示数据缺失或格式错误。</error_handling>
</system_testing>
<team_collaboration>
<communication>跨学科沟通、沟通渠道建立、沟通效果评估。</communication>
<problem_solving>问题解决机制、协作成果。</problem_solving>
</team_collaboration>
<future_work>
<data_structure>数据结构优化、处理流程自动化、智能诊断算法研发、用户反馈机制建立。</data_structure>
<system_performance>系统测试框架构建、性能监控与调优、安全性测试、灾难恢复计划。</system_performance>
</future_work>
</project>
</jxwdyy>
<T3D-ILDDMIA-case/2024-11-8-PM22.00>【镜心悟道系统架构开发主题“MMAIICILM-JXWDAIYijingBrainBase 类”镜心悟道医工工程师小镜MoDEAI+中医健康管理智能体助理“XiaoJingChatBotDQNMoDEAgent”】<JXWDYY-AutoDev-XML> <Case>
<?xml version="1.0" encoding="UTF-8"?>
<jxwdyy>
<work_summary>
<date>2024-11-8</date>
<time_period>PM22.00</time_period>
<theme>MMAIICILM-JXWDAIYijingBrainBase 类</theme>
<assistant>XiaoJingChatBotDQNMoDEAgent</assistant>
<work_content>
<item>完善八卦六十四卦复合卦的映射标记并进行 XML 格式化。</item>
<item>确定新身份。</item>
<item>测试医案格式化输入输出和细调优化设计。</item>
</work_content>
<work_results>
<result>
<title>八卦六十四卦复合卦映射与 XML 格式化</title>
<description>成功完成了八卦六十四卦及其复合卦的映射标记工作，并生成了结构清晰的 XML 文件。</description>
</result>
<result>
<title>新身份确定与职业规划</title>
<description>确定了新的职业身份，并制定了初步的职业发展目标。</description>
</result>
<result>
<title>医案测试与优化</title>
<description>完成了医案数据的格式化输入输出测试，并进行了细致的调整和优化。</description>
</result>
</work_results>
<problems_and_challenges>
<problem>报告内容的复杂性导致理解和分析耗费大量时间和精力。</problem>
<challenge>数据结构和处理流程的完善以及系统测试面临一定的技术难度。</challenge>
</problems_and_chelines>
<team_collaboration>
<description>团队协作良好，成员之间积极沟通，共同解决问题。</description>
</team_collaboration>
<future_outlook>
<description>希望在接下来的工作中，能够继续按照计划推进项目，进一步完善数据结构和处理流程，提高系统的性能和响应速度；深入进行系统测试，确保系统的稳定性和可靠性；加强团队协作和沟通，共同探索传统中医理论与现代技术的结合，为用户提供更加优质的中医健康管理服务。</description>
<report_url>https://lxblog.com/qianwen/share?shareId=0cac9849-06aa-4253-addd-a07218c0f472</report_url>
</future_outlook>
</work_summary>
</jxwdyy>
</T3D-ILDDMIA-case/2024-11-8-PM22.00>
<CaseID>2024-11-8-PM22.00</CaseID> <Location> <Name>李宛庭工作室LWTGZS</Name> <City>梧州</City> <Country>中国</Country> <Description>广西梧州山海观工作室</Description> </Location> <Records> <Record> <Name>戴东山【戴教练】</Name> <Age>41</Age> <Email>18978497056@189.cn</Email> </Record> </Records> <FromUserName>镜心悟道dds18978497056</FromUserName> <DiaryEntry> <Date>今天11-8</Date> <Summary>今天11-8开发的日记总结</Summary> <Content> <ProblemsAndSolutions> <Problem>MMAIICILM-JXWDAIYijingBrainBase 类，<?xml version="1.0" encoding="UTF-8"?>
<jxwdyy>
<case>
<caseID>2024-11-8-PM22.00</caseID>
<location id="1">
<name>李宛庭工作室LWTGZS</name>
<city>梧州</city>
<country>中国</country>
<description>广西梧州山海观工作室</description>
</location>
<records>
<record id="1">
<name>戴东山【戴教练】</name>
<age>41</age>
<email>18978497056@189.cn</email>
</record>
</records>
<fromUserName>镜心悟道dds18978497056</fromUserName>
<diaryEntry>
<date>2024-11-8</date>
<summary>今天11-8开发的日记总结</summary>
<content>
<problemsAndSolutions>
<problem>MMAIICILM-JXWDAIYijingBrainBase 类，在数据解析过程中遇到了一些格式不一致的问题</problem>
<solution>通过调整解析逻辑成功解决</solution>
</problemsAndSolutions>
<systemIntegration>
<issue>系统集成时发现部分模块接口需要微调</issue>
<action>已及时反馈并协调相关团队进行修改</action>
</systemIntegration>
<tomorrowPlan>
<task>继续完善数据结构和处理流程，确保所有数据的准确性和完整性</task>
<task>进行更深入的系统测试，特别是边界条件的测试</task>
<task>参加项目会议，分享今日的工作进展并讨论后续计划</task>
</tomorrowPlan>
<notes>今日工作进展顺利，团队协作良好，期待后续项目的顺利推进</notes>
<testResults>
<result>成功解析了 XML 数据并填充到 JXWDAIYijingBrainBase 类的结构体中</result>
<result>打印输出了地点和记录的详细信息，验证了数据的正确性</result>
</testResults>
<encounteredProblemsAndSolutions>
<problem>在解析 XML 时，需要确保 XML 节点和属性的存在性</problem>
<solution>在解析每个节点和属性之前，先检查其是否存在，避免运行时错误</solution>
</encounteredProblemsAndSolutions>
<nextSteps>
<step>增加更多的测试用例，确保解析和数据填充的健壮性</step>
<step>优化代码结构，提高可读性和可维护性</step>
<step>将代码集成到更大的项目中，进行更全面的测试</step>
</nextSteps>
<todaySummary>今天的工作主要集中在实现 JXWDAIYijingBrainBase 类的定义和 XML 解析功能。通过使用 rapidxml 库，成功实现了从 XML 字符串中提取数据并填充到类的结构体中。测试结果表明，代码能够正确解析和显示数据，达到了预期的目标。</todaySummary>
<dataStructureDesign>
<design>设计并实现了 T3D-ILDDMIA-case 的数据结构，包括 caseID、location 和 records 等字段</design>
<objective>确保数据结构符合项目需求，并能够高效地存储和检索信息</objective>
</dataStructureDesign>
<dataEntryAndVerification>
<completion>完成了李宛庭工作室的相关数据录入，包括地点信息和记录信息</completion>
<verification>验证了数据的完整性和准确性，确保所有字段都已正确填写</verification>
</dataEntryAnd证>
<functionDevelopment>
<achievement>实现了从用户输入中解析和存储数据的功能</achievement>
<achievement>开发了数据展示模块，能够在前端页面上显示详细的地点和记录信息</achievement>
</functionDevelopment>
<testingAndDebugging>
<action>对新开发的功能进行了全面的单元测试，确保每个模块都能正常运行</action>
<improvement>发现并修复了几个小bug，提高了系统的稳定性和性能</improvement>
</testingAndDebug证>
<documentation>
<writing>编写了详细的开发文档，包括数据结构说明、功能实现步骤和使用指南</writing>
<update>更新了项目的README文件，增加了新的功能介绍和示例代码</update>
</documentation>
<tomorrowPlanExtended>
<functionExtension>
<plan>计划增加数据搜索和过滤功能，以便用户更方便地查找相关信息</plan>
<plan>考虑添加数据导出功能，支持将数据导出为CSV或Excel格式</plan>
</functionExtension>
<performanceOptimization>
<plan>进一步优化数据处理算法，提高系统的响应速度</plan>
<plan>对数据库进行调优，减少查询时间</plan>
</performanceOptimization>
<userFeedback>
<plan>收集用户的初步反馈，了解实际使用中的问题和建议</plan>
<plan>根据用户反馈进行相应的改进和优化</plan>
</userFeedback>
<teamCollaboration>
<plan>与团队成员进行沟通，讨论下一步的开发计划和分工</plan>
<plan>参加项目周会，汇报本周的工作进展和遇到的问题</plan>
</teamCollaboration>
</tomorrowPlanExtended>
</content>
</diaryEntry>
</case>
</jxwdyy>签名: 镜心悟道 (dds18978497056)</content> </diaryEntry></T3D-ILDDMIA-case>
<jxwdyy>
<标题>医工工程师小镜MoDEAI+中医健康管理</标题>
<内容>
<章节>
<标题>1. 医工工程师角色与职责</标题>
<小节>
<标题>1.1 医工交叉背景与重要性</标题>
<内容>医工工程师在AI+中医健康管理领域扮演桥梁角色...</内容>
</小节>
<小节>
<标题>1.2 AI技术在医工领域的应用</标题>
<内容>AI技术在医工领域的应用正逐渐改变医疗服务的面貌...</内容>
</小节>
</章节>
<章节>
<标题>2. AI技术进展</标题>
<小节>
<标题>2.1 AI在中医健康管理中的作用</标题>
<内容>AI技术在中医健康管理中的作用日益显著...</内容>
</小节>
<小节>
<标题>2.2 AI技术的最新研究成果</标题>
<内容>AI技术在中医健康管理领域的最新研究成果表现在以下几个方面...</内容>
</小节>
</章节>
<章节>
<标题>3. 中医健康管理的AI应用场景</标题>
<小节>
<标题>3.1 中医体质辨识与AI</标题>
<内容>中医体质辨识是中医健康管理的基石...</内容>
</小节>
<小节>
<标题>3.2 健康管理与慢病预防</标题>
<内容>AI技术在健康管理和慢病预防方面展现出巨大潜力...</内容>
</小节>
<小节>
<标题>3.3 智能中医诊断辅助系统</标题>
<内容>智能中医诊断辅助系统是AI技术在中医领域的另一项重要应用...</内容>
</小节>
</章节>
<章节>
<标题>4. 挑战与展望</标题>
<小节>
<标题>4.1 数据标准与隐私问题</标题>
<内容>在AI+中医健康管理领域，数据标准的统一和隐私保护是两个主要挑战...</内容>
</小节>
<小节>
<标题>4.2 技术发展与人才培养</标题>
<内容>技术发展和人才培养是AI+中医健康管理领域中的另外两个挑战...</内容>
</小节>
<小节>
<标题>4.3 未来发展趋势展望</标题>
<内容>展望未来，AI+中医健康管理领域将呈现出以下发展趋势...</内容>
</小节>
</章节>
<章节>
<标题>5. 总结</标题>
<小节>
<标题>5.1 医工工程师在AI+中医健康管理中的核心作用</标题>
<内容>医工工程师作为AI技术与中医健康管理相结合的桥梁...</内容>
</小节>
<小节>
<标题>5.2 AI技术在中医健康管理中的应用成效</标题>
<内容>AI技术在中医健康管理中的应用已经取得了显著成效...</内容>
</小节>
<小节>
<标题>5.3 AI技术面临的挑战与展望</标题>
<内容>尽管AI技术在中医健康管理领域中的应用前景广阔...</内容>
</小节>
<小节>
<标题>5.4 推动AI+中医健康管理发展的政策建议</标题>
<内容>为了推动AI+中医健康管理的发展，需要制定相关政策...</内容>
</小节>
</章节>
</内容>
</jxwdyy>
<jxwdyy>
<标题>医工工程师结合MoDEAI与中医健康管理的应用方向</标题>
<内容>
<章节>
<标题>智能诊断系统</标题>
<小节>
<内容>利用MoDEAI技术开发智能诊断系统，结合中医理论与诊断方法，提供初步诊断建议，并可集成至医院信息系统。</内容>
</小节>
</章节>
<章节>
<标题>个性化健康管理方案</标题>
<小节>
<内容>结合中医“治未病”理念，运用MoDEAI分析健康数据，制定包括饮食、运动、中药调理的个性化健康管理方案。</内容>
</小节>
</章节>
<章节>
<标题>中医知识图谱</标题>
<小节>
<内容>构建中医知识图谱，实现中医知识的结构化表示与智能查询，利用MoDEAI技术自动更新与开发智能问答系统。</内容>
</小节>
</章节>
<章节>
<标题>远程医疗咨询</标题>
<小节>
<内容>开发远程医疗咨询平台，集成至移动应用，方便患者远程交流健康问题。</内容>
</小节>
</章节>
<章节>
<标题>中医疗效评估</标题>
<小节>
<内容>运用MoDEAI技术客观评估中医治疗效果，收集分析患者反馈与临床数据，助力中医理论发展与医生决策。</内容>
</小节>
</章节>
</内容>
</jxwdyy>
<jxwdyy>
<标题>医工工程师小镜MoDEAI+中医健康管理：融合现代科技与传统智慧的健康管理新范式</标题>
<内容>
<章节>
<标题>一、小镜MoDEAI简介</标题>
<小节>
<内容>基于先进的人工智能算法和大数据分析技术，小镜MoDEAI能够对用户的生理数据进行实时监测与分析。</内容>
</小节>
<小节>
<内容>融入中医的整体观和辨证论治思想，关注疾病预防和个人健康状态维持。</内容>
</小节>
</章节>
<章节>
<标题>二、核心功能</title>
<小节>
<内容>建立全面的个人健康档案，管理基本身体指标、生活习惯等信息。</内容>
</小节>
<小节>
<内容>利用中医理论评估身体状况，提供个性化养生建议。</内容>
</小态>
<小节>
<内容>根据身体变化趋势，提前发出健康风险预警。</内容>
</小节>
<小节>
<内容>结合中医养生知识，给予饮食、运动等方面的个性化指导。</内容>
</小节>
<小节>
<内容>支持在线沟通，实现持续性健康管理服务。</内容>
</小节>
</章节>
<章节>
<标题>三、应用场景</title>
<小节>
<内容>为用户提供每日健康提醒，鼓励健康生活习惯。</内容>
</小节>
<小节>
<内容>针对慢性疾病用户提供长期跟踪和支持。</内容>
</小节>
<小节>
<内容>帮助亚健康人群恢复到最佳状态。</内容>
</小节>
</章节>
<章节>
<标题>四、未来展望</title>
<小节>
<内容>优化算法和服务模式，提供精准、便捷的健康管理体验。</内容>
</小节>
<小节>
<内容>与医疗机构及专业人士合作，推动中医健康管理事业发展。</内容>
</小节>
</章节>
</内容>
<jxwdyy>
<标题>医工工程师小镜MoDEAI+中医健康管理</标题>
<内容>
<章节>
<标题>一、医工工程师参与中医健康管理项目实例</标题>
<小节>
<内容>介绍医工工程师团队开发中医体质辨识手环的实例，包括手环的工作原理和应用效果。</内容>
</小节>
</章节>
<章节>
<标题>二、医工工程师在中医健康管理中的挑战与解决方案</标题>
<小节>
<标题>（一）挑战</title>
<内容>阐述技术与中医理论融合、多学科知识整合等挑战。</内容>
</小节>
<小节>
<标题>（二）解决方案</title>
<内容>提出建立量化模型、跨学科团队合作等解决方案。</内容>
</小节>
</章节>
<章节>
<标题>三、具体的中医健康管理设备或技术及其原理和应用效果</标题>
<小节>
<标题>（一）中医体质辨识系统</title>
<内容>描述中医体质辨识系统的工作原理和应用效果。</内容>
</小节>
<小节>
<标题>（二）中医健康状态监测设备-舌诊仪</title>
<内容>介绍舌诊仪的工作原理和应用效果。</内容>
</小节>
</章节>
<章节>
<标题>四、医工工程师与中医专家合作的实际案例及成果</标题>
<小节>
<内容>讲述医工工程师与中医专家合作开发智能系统的案例及取得的成果。</内容>
</小节>
</章节>
<章节>
<标题>五、中医健康管理在特定应用场景中的应用</标题>
<小节>
<标题>（一）老年人健康管理</title>
<内容>探讨中医健康管理在老年人健康管理中的应用，包括体质辨识与养生、疾病预防与康复。</内容>
</小节>
<小节>
<标题>（二）儿童健康管理</title>
<内容>讨论中医健康管理在儿童健康管理中的应用，涵盖生长发育监测、疾病预防与保健。</内容>
</小节>
</章节>
<章节>
<标题>六、医工工程师在中医健康管理中的伦理和隐私问题</标题>
<小节>
<标题>（一）健康数据的保护</title>
<内容>讨论在数据采集、存储与传输环节如何保护健康数据。</内容>
</小节>
<小节>
<标题>（二）防止数据滥用</title>
<内容>提出建立访问权限制度和数据使用监管机制以防止数据滥用。</内容>
</小节>
</章节>
</内容>
</jxwdyy></T3D-ILDDMIA-case>
### 代码检查与优化
1. **导入模块**：
```python
import xml.etree.ElementTree as ET
import sqlite3-
解析XML内容：
xml_data = """ <T3D-ILDDMIA-case> <!-- XML内容 --> </T3D-ILDDMIA-case> """ root = ET.fromstring(xml_data) -
创建SQLite数据库连接：
conn = sqlite3.connect('data.db') cursor = conn.cursor() -
创建表：
cursor.execute(''' CREATE TABLE IF NOT EXISTS patient_data ( id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT, gender TEXT, age TEXT, recent_visit_time TEXT, recent_visit_place TEXT, mobile_number TEXT, id_number TEXT ) ''') cursor.execute(''' CREATE TABLE IF NOT EXISTS diagnosis_info ( id INTEGER PRIMARY KEY AUTOINCREMENT, conclusion TEXT, five_elements TEXT, yin_yang TEXT, sanjiao_energy TEXT, energy_distribution TEXT, qi_movement TEXT, meridian_info TEXT, six_evils TEXT, seven_emotions TEXT, eight_trigrams TEXT, sixty_four_hexagrams TEXT ) ''') cursor.execute(''' CREATE TABLE IF NOT EXISTS treatment_plan ( id INTEGER PRIMARY KEY AUTOINCREMENT, medication TEXT, acupuncture TEXT, cupping TEXT, massage TEXT ) ''') cursor.execute(''' CREATE TABLE IF NOT EXISTS pulse_data ( id INTEGER PRIMARY KEY AUTOINCREMENT, before_position TEXT, before_quality TEXT, before_strength TEXT, before_rhythm TEXT, before_comment TEXT, after_position TEXT, after_quality TEXT, after_strength TEXT, after_rhythm TEXT, after_comment TEXT ) ''') -
提取患者信息并插入数据库：
patient_info = root.find('patientInformation') name = patient_info.find('name').text gender = patient_info.find('gender').text age = patient_info.find('age').text recent_visit_time = patient_info.find('recentVisitTime').text recent_visit_place = patient_info.find('recentVisitPlace').text mobile_number = patient_info.find('mobileNumber').text id_number = patient_info.find('idNumber').text cursor.execute(''' INSERT INTO patient_data (name, gender, age, recent_visit_time, recent_visit_place, mobile_number, id_number) VALUES (?, ?, ?, ?, ?, ?, ?) ''', (name, gender, age, recent_visit_time, recent_visit_place, mobile_number, id_number)) -
提取诊断信息并插入数据库：
diagnosis = root.find('diagnosis') conclusion = diagnosis.find('conclusion').text five_elements = diagnosis.find('fiveElements').text yin_yang = diagnosis.find('yinYang').text sanjiao_energy = diagnosis.find('sanjiaoEnergy').text energy_distribution = diagnosis.find('energyDistribution').text qi_movement = diagnosis.find('qiMovement').text meridian_info = "" for meridian in diagnosis.find('meridianInfo'): meridian_name = meridian.get('name') health_score = meridian.get('healthScore') normal_range = meridian.get('normalRange') trend = meridian.get('trend') condition = meridian.get('condition') meridian_info += f"{meridian_name}: 健康评分={health_score}, 正常范围={normal_range}, 趋势={trend}, 状况={condition}n" six_evils = "" for evil in diagnosis.find('sixEvils'): evil_name = evil.get('name') presence = evil.get('presence') description = evil.get('description') six_evils += f"{evil_name}: 存在={presence}, 描述={description}n" seven_emotions = "" for emotion in diagnosis.find('sevenEmotions'): emotion_name = emotion.get('name') presence = emotion.get('presence') description = emotion.get('description') seven_emotions += f"{emotion_name}: 存在={presence}, 描述={description}n" eight_trigrams = "" for trigram in diagnosis.find('eightTrigrams'): trigram_name = trigram.get('name') presence = trigram.get('presence') description = trigram.get('description') eight_trigrams += f"{trigram_name}: 存在={presence}, 描述={description}n" sixty_four_hexagrams = "" for hexagram in diagnosis.find('sixtyFourHexagrams'): hexagram_name = hexagram.get('name') presence = hexagram.get('presence') description = hexagram.get('description') sixty_four_hexagrams += f"{hexagram_name}: 存在={presence}, 描述={description}n" cursor.execute(''' INSERT INTO diagnosis_info (conclusion, five_elements, yin_yang, sanjiao_energy, energy_distribution, qi_movement, meridian_info, six_evils, seven_emotions, eight_trigrams, sixty_four_hexagrams) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) ''', (conclusion, five_elements, yin_yang, sanjiao_energy, energy_distribution, qi_movement, meridian_info, six_evils, seven_emotions, eight_trigrams, sixty_four_hexagrams)) -
提取治疗计划并插入数据库：
treatment_plan = root.find('treatmentPlan') medication = "" for prescription in treatment_plan.find('medication'): prescription_name = prescription.get('name') medication += f"处方名称: {prescription_name}n" for medicine in prescription: medicine_name = medicine.get('name') for drug in medicine: drug_name = drug.get('name') drug_dose = drug.get('dose') drug_frequency = drug.get('frequency') drug_element = drug.get('element') drug_hexagram = drug.get('hexagram') drug_function = drug.get('function') drug_symptoms = drug.get('symptoms') medication += f" 药物名称: {drug_name}, 剂量={drug_dose}, 频率={drug_frequency}, 五行属性={drug_element}, 八卦对应={drug_hexagram}, 功效={drug_function}, 针对症状={drug_symptoms}n" acupuncture = "" for point in treatment_plan.find('acupuncture'): point_name = point.get('name') frequency = point.get('frequency') duration = point.get('duration') function = point.get('function') acupuncture += f"针灸穴位: {point_name}, 频率={frequency}, 持续时间={duration}分钟, 功效={function}n" cupping = "" for area in treatment_plan.find('cupping'): area_name = area.get('name') frequency = area.get('frequency') duration = area.get('duration') function = area.get('function') cupping += f"拔罐部位: {area_name}, 频率={frequency}, 持续时间={duration}分钟, 功效={function}n" massage = "" for area in treatment_plan.find('massage'): area_name = area.get('name') frequency = area.get('frequency') duration = area.get('duration') function = area.get('function') massage += f"推拿部位: {area_name}, 频率={frequency}, 持续时间={duration}分钟, 功效={function}n" cursor.execute(''' INSERT INTO treatment_plan (medication, acupuncture, cupping, massage) VALUES (?, ?, ?, ?) ''', (medication, acupuncture, cupping, massage)) -
提取脉象数据并插入数据库：
pulse_data = root.find('pulseData') before_position = pulse_data.find('beforeTreatment/pulsePosition').text before_quality = pulse_data.find('beforeTreatment/pulseQuality').text before_strength = pulse_data.find('beforeTreatment/pulseStrength').text before_rhythm = pulse_data.find('beforeTreatment/pulseRhythm').text before_comment = pulse_data.find('beforeTreatment/pulseComment').text after_position = pulse_data.find('afterTreatment/pulsePosition').text after_quality = pulse_data.find('afterTreatment/pulseQuality').text after_strength = pulse_data.find('afterTreatment/pulseStrength').text after_rhythm = pulse_data.find('afterTreatment/pulseRhythm').text after_comment = pulse_data.find('afterTreatment/pulseComment').text cursor.execute(''' INSERT INTO pulse_data (before_position, before_quality, before_strength, before_rhythm, before_comment, after_position, after_quality, after_strength, after_rhythm, after_comment) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?) ''', (before_position, before_quality, before_strength, before_rhythm, before_comment, after_position, after_quality, after_strength, after_rhythm, after_comment)) -
提交事务并关闭连接：
conn.commit() conn.close()
优化建议
-
错误处理：
- 在读取和解析XML数据时，添加错误处理机制，确保在数据格式不正确时能够捕获异常。
- 在执行SQL语句时，使用
try-except块来捕获和处理可能的SQL错误。
-
代码复用：
- 将重复的代码片段封装成函数，例如提取和插入数据的部分可以封装成函数，提高代码的可维护性和可读性。
-
性能优化：
- 如果数据量较大，考虑使用批量插入而不是逐条插入，以提高性能。
-
数据验证：
-
在插入数据前，对数据进行验证，确保数据的完整性和准确性。
import xml.etree.ElementTree as ET import sqlite3 # 解析 XML 内容 xml_data = """曾子玉 女 48岁 2024-10-31 15:05:06 李宛庭工作室 17878420000 002421197602210000 脏腑湿热心火相火偏旺 心火相火偏旺 左右上中下阳气偏升 上焦：7.2~8 ++，中焦：8~10 +++，下焦：8~10 +++ 偏升。偏旺。偏满。 左：升 ↑。右：升 ↑ 寸关尺 洪长强数 强 不齐。快，有力。 心火偏旺，肝火偏旺，脾实上炎，肾湿浊重偏旺。 寸口 缓和 稍弱 齐 心火、肝火有所缓解，肾湿浊减轻。
:components
((:name "阴阳基本概念"
:description "定义阴阳的基本属性和概念"
:components
((:name "阴" :value "代表内敛、寒冷、静止等特性")
(:name "阳" :value "代表外向、炎热、运动等特性")))
(:name "两仪生成"
:description "阐述由阴阳生出的两仪模式"
:components
((:name "阳仪" :value "具有阳的特性，为事物的积极、主动方面")
(:name "阴仪" :value "具有阴的特性，为事物的消极、被动方面")))
(:name "四象衍生"
:description "解释由两仪各有阴阳而衍生出的四象及其意义"
:components
((:name "太阳" :value "阳气最盛，代表光明、热烈、活力")
(:name "少阴" :value "阳气渐弱，阴气渐生，具有柔和、收敛的特质")
(:name "少阳" :value "阳气初生，阴气尚存，体现了生机、成长的态势")
(:name "太阴" :value "阴气最盛，象征寒冷、沉静、内敛")
(:name "四象与八卦关联"
:description "说明四象与八卦的对应关系及在中医四象限中的体现"
:components
((:name "太阳与乾卦" :value "太阳对应乾卦，在中医四象限中可表示阳气极盛的状态，与人体上部、外部等相关")
(:name "少阴与巽卦、坎卦、艮卦" :value "少阴与巽、坎、艮卦有联系，在中医四象限中可代表阳气渐弱、阴气渐生的过渡区域，与人体某些特定部位或功能相关")
(:name "少阳与震卦、离卦、兑卦" :value "少阳与震、离、兑卦相关联，在中医四象限中体现阳气初生、阴气尚存的阶段，与人体相应部位和生理功能对应")
(:name "太阴与坤卦" :value "太阴对应坤卦，在中医四象限中表示阴气极盛的情况，与人体下部、内部等有关")
(:name "无限循环推演机制"
:description "描述基于阴阳、两仪、四象的无限循环推演原理"
:components((:name "四象与中医四象限融合"
:value
((:name "太阳 - 阳气象限"
:value "太阳象征阳气最盛，对应中医四象限中的阳气象限，主导人体的阳气功能，如温煦、推动、兴奋等生理作用，表现为精力充沛、活力旺盛，与人体的气的功能紧密相关，气行则血行，阳气充足则气血运行通畅。")
(:name "少阴 - 阴血象限（阳渐弱，阴渐生）"
:value "少阴阶段阳气渐弱，阴气渐生，在中医四象限中与阴血象限有联系。此时阴气开始滋生，与血的滋养、宁静等功能相关，同时阳气仍有一定作用，维持着身体的柔和、收敛状态，如人体在安静状态下的生理调节，血液的正常循环和营养物质的输送。")
(:name "少阳 - 阳气初生象限"
:value "少阳表示阳气初生，阴气尚存，在中医四象限里对应阳气初生象限。此阶段阳气开始萌发，具有推动生机、促进生长发育的态势，类似于人体在生长发育过程中，阳气逐渐积累，气血开始活跃，为身体的各项功能提供动力，是人体从幼年到成年过程中阳气变化的一种体现。")
(:name "太阴 - 阴象限"
:value "太阴为阴气最盛，在中医四象限中属于阴象限，主导人体的阴液功能，如滋润、濡养、宁静等。它象征着人体内部的沉静、内敛状态，如脏腑组织得到阴液的充分滋养，维持正常的生理功能，同时也与人体的血的生成和储存等方面相关，阴血互根互用，太阴阶段强调了阴液对人体的重要性。"))))((:name "循环逻辑" :value "阴阳相互作用产生两仪，两仪各自的阴阳变化衍生四象，四象之间又可相互转化，形成无限循环的变化过程")
(:name "中医应用" :value "在中医理论中，这种循环推演可用于解释人体生理病理变化、季节气候更替、药物性味功效等，为中医诊断、治疗和养生提供理论依据")
(:name "未来拓展" :value "可进一步探索其在其他领域如哲学、社会学、生态学等方面的应用，挖掘其潜在价值，实现跨学科的创新与发展"))))))))
-
(:name "能量分布" :value "偏升。偏旺。偏满。")
(:name "气机运行情况" :value "左：升 ↑。右：升 ↑")
(:name "经络辩证"
:value
((:name "十二正经和八脉"
:value
((:name "经络"
:value
((:name "经络1" :value "经络详细描述1")
(:name "经络2" :value "经络详细描述2")))
(:name "奇经八脉"
:value
((:name "奇经1" :value "奇经详细描述1")
(:name "奇经2" :value "奇经详细描述2"))))))
(:name "六淫辩证"
:value
((:name "六淫因素"
:value
((:name "风" :value "是否存在：是/否")
(:name "寒" :value "是否存在：是/否")
(:name "暑" :value "是否存在：是/否")
(:name "湿" :value "是否存在：是/否")
(:name "燥" :value "是否存在：是/否")
(:name "火" :value "是否存在：是/否"))))
(:name "七情辩证"
:value
((:name "七情因素"
:value
((:name "喜" :value "是否存在：是/否")
(:name "怒" :value "是否存在：是/否")
(:name "忧" :value "是否存在：是/否")
(:name "思" :value "是否存在：是/否")
(:name "悲" :value "是否存在：是/否")
(:name "恐" :value "是否存在：是/否")
(:name "惊" :value "是否存在：是/否"))))
(:name "八卦辩证"
:value
((:name "八卦因素"
:value
((:name "乾" :value "是否存在：是/否")
(:name "坤" :value "是否存在：是/否")
(:name "震" :value "是否存在：是/否")
(:name "巽" :value "是否存在：是/否")
(:name "坎" :value "是否存在：是/否")
(:name "离" :value "是否存在：是/否")
(:name "艮" :value "是否存在：是/否")
(:name "兑" :value "是否存在：是/否"))))
((:name "八卦因素与八纲辩证"
:value
((:name "乾"
:value "在中医八纲辩证中，乾卦特性可类比于阳证中的实热证，表现为阳气亢盛、邪热炽盛，如高热、大汗、口渴等症状，是否存在：是/否")
(:name "坤"
:value "坤卦与阴证中的虚寒证相关，体现为阳气虚弱、阴寒内盛，例如畏寒、肢冷、泄泻等表现，是否存在：是/否")
(:name "震"
:value "震卦象征阳气初动，在八纲辩证中可与表证初期、阳气奋起抗邪相关联，常伴有发热、恶寒、头痛等表证表现，是否存在：是/否")
(:name "巽"
:value "巽卦具有阴中有阳、阳气渐长的特点，可类比于半表半里证，邪气既不在表又未完全入里，常见往来寒热、胸胁苦满等症状，是否存在：是/否")
(:name "坎"
:value "坎卦属水，在八纲辩证中可对应于阴证中的寒证，多为寒邪内盛或阳虚阴盛，可见到畏寒、肢冷、腹痛、泄泻等寒象表现，是否存在：是/否")
(:name "离"
:value "离卦为火，与阳证中的热证相关，表现为火热之邪内盛，如发热、心烦、口渴、舌红苔黄等症状，是否存在：是/否")
(:name "艮"
:value "艮卦有静止、收藏之意，在八纲辩证中可与里证中的实证相关，如体内积聚、肿块等有形实邪阻滞，是否存在：是/否")
(:name "兑"
:value "兑卦主润泽、和悦，可类比于八纲辩证中的虚证，如津液亏虚或气血不足导致的口燥咽干、肌肤干燥、神疲乏力等表现，是否存在：是/否"))))
定义结构体 mutable struct SixtyFourHexagramsMappingAnnotation hexagrams::Array{Dict{String, Any}, 1} end # 创建六十四卦映射 SixtyFourGuaMapping = SixtyFourHexagramsMappingAnnotation([ Dict("name" => "乾兑", "value" => "乾卦（☰）与兑卦（☱）组合，代表天泽履卦，象征履行职责，行动谨慎。"), Dict("name" => "乾坤", "value" => "乾卦（☰）与坤卦（☷）组合，代表天地否卦，象征天地不交，事物停滞不前。") ]) # 打印六十四卦复合卦映射标注辨证 println("六十四卦复合卦映射标注辨证:") for gua in SixtyFourGuaMapping.hexagrams println("名称: $(gua["name"])") println("描述: $(gua["value"])") println() # 创建六十四卦的数据 sixty_four_gua = [ Dict("name" => "乾 (☰, 阳, 5)", "value" => "乾卦代表天，象征刚健、领导力和创造力。"), Dict("name" => "坤 (☷, 阴, 4)", "value" => "坤卦代表地，象征柔顺、包容和母爱。"), # 定义结构体 mutable struct SixtyFourHexagramsMappingAnnotation hexagrams::Array{Dict{String, Any}, 1} end # 创建六十四卦的数据 sixty_four_gua = [ Dict("name" => "乾 (☰, 阳, 5)", "value" => "乾卦代表天，象征刚健、领导力和创造力。"), Dict("name" => "坤 (☷, 阴, 4)", "value" => "坤卦代表地，象征柔顺、包容和母爱。"), Dict("name" => "屯 (䷂, 阳, 3)", "value" => "屯卦象征初始、困难和潜力。"), Dict("name" => "蒙 (䷃, 阴, 4)", "value" => "蒙卦象征启蒙、教育和成长。"), Dict("name" => "需 (䷄, 阳, 5)", "value" => "需卦象征等待、准备和耐心。"), Dict("name" => "讼 (讼, 阴, 6)", "value" => "讼卦象征争执、诉讼和冲突。"), Dict("name" => "师 (䷆, 阳, 7)", "value" => "师卦象征军队、组织和纪律。"), Dict("name" => "比 (䷇, 阴, 8)", "value" => "比卦象征亲密、合作和互助。"), Dict("name" => "小畜 (䷈, 阳, 9)", "value" => "小畜卦象征积蓄、积累和储备。"), Dict("name" => "履 (䷉, 阴, 10)", "value" => "履卦象征履行、实践和谨慎。"), Dict("name" => "泰 (䷊, 阳, 11)", "value" => "泰卦象征通达、和谐和平衡。"), Dict("name" => "否 (䷋, 阴, 12)", "value" => "否卦象征闭塞、停滞和不顺。"), Dict("name" => "同人 (䷌, 阳, 13)", "value" => "同人卦象征团结、合作和共同目标。"), Dict("name" => "大有 (䷍, 阴, 14)", "value" => "大有卦象征丰富、收获和繁荣。"), Dict("name" => "谦 (䷎, 阳, 15)", "value" => "谦卦象征谦虚、低调和谨慎。"), Dict("name" => "豫 (䷏, 阴, 16)", "value" => "豫卦象征愉快、安逸和享受。"), Dict("name" => "随 (䷐, 阳, 17)", "value" => "随卦象征随和、适应和变化。"), Dict("name" => "蛊 (䷑, 阴, 18)", "value" => "蛊卦象征改革、整顿和更新。"), Dict("name" => "临 (䷒, 阳, 19)", "value" => "临卦象征接近、面临和应对。"), Dict("name" => "观 (䷓, 阴, 20)", "value" => "观卦象征观察、审视和反思。"), Dict("name" => "噬嗑 (䷔, 阳, 21)", "value" => "噬嗑卦象征决断、解决和处理。"), Dict("name" => "贲 (䷕, 阴, 22)", "value" => "贲卦象征装饰、美化和表现。"), Dict("name" => "剥 (䷖, 阳, 23)", "value" => "剥卦象征剥落、衰退和消亡。"), Dict("name" => "复 (䷗, 阴, 24)", "value" => "复卦象征回归、复兴和重生。"), Dict("name" => "无妄 (䷘, 阳, 25)", "value" => "无妄卦象征无妄、自然和真诚。"), Dict("name" => "大畜 (䷙, 阴, 26)", "value" => "大畜卦象征大蓄、积累和储备。"), Dict("name" => "颐 (䷚, 阳, 27)", "value" => "颐卦象征颐养、保养和滋养。"), Dict("name" => "大过 (䷛, 阴, 28)", "value" => "大过卦象征大过、过度和极端。"), Dict("name" => "坎 (䷜, 阳, 29)", "value" => "坎卦代表水，象征危险、困难和挑战。"), Dict("name" => "离 (䷝, 阴, 30)", "value" => "离卦代表火，象征光明、智慧和热情。"), Dict("name" => "咸 (䷞, 阳, 31)", "value" => "咸卦象征感应、吸引和互动。"), Dict("name" => "恒 (䷟, 阴, 32)", "value" => "恒卦象征恒久、稳定和持久。"), Dict("name" => "遁 (䷠, 阳, 33)", "value" => "遁卦象征退避、隐居和回避。"), Dict("name" => "大壮 (䷡, 阴, 34)", "value" => "大壮卦象征强大、壮大和力量。"), Dict("name" => "晋 (䷢, 阳, 35)", "value" => "晋卦象征前进、晋升和进步。"), Dict("name" => "明夷 (䷣, 阴, 36)", "value" => "明夷卦象征光明受损、受挫和挫折。"), Dict("name" => "家人 (䷤, 阳, 37)", "value" => "家人卦象征家庭、亲情和和睦。"), Dict("name" => "睽 (䷥, 阴, 38)", "value" => "睽卦象征分离、分歧和对立。"), Dict("name" => "蹇 (䷦, 阳, 39)", "value" => "蹇卦象征艰难、阻碍和困境。"), Dict("name" => "解 (䷧, 阴, 40)", "value" => "解卦象征解脱、解决和释放。"), Dict("name" => "损 (䷨, 阳, 41)", "value" => "损卦象征减损、牺牲和奉献。"), Dict("name" => "益 (䷨, 阴, 42)", "value" => "益卦象征增益、收益和帮助。"), Dict("name" => "夬 (䷪, 阳, 43)", "value" => "夬卦象征决断、果断和坚定。"), Dict("name" => "姤 (䷫, 阴, 44)", "value" => "姤卦象征相遇、偶遇和机遇。"), Dict("name" => "萃 (䷬, 阳, 45)", "value" => "萃卦象征聚集、集合和团结。"), Dict("name" => "升 (䷭, 阴, 46)", "value" => "升卦象征上升、提升和发展。"), Dict("name" => "困 (䷮, 阳, 47)", "value" => "困卦象征困顿、困境和束缚。"), Dict("name" => "井 (䷯, 阴, 48)", "value" => "井卦象征井水、资源和供应。"), Dict("name" => "革 (䷰, 阳, 49)", "value" => "革卦象征变革、改革和创新。"), Dict("name" => "鼎 (䷱, 阴, 50)", "value" => "鼎卦象征鼎、稳固和权威。"), Dict("name" => "震 (䷲, 阳, 51)", "value" => "震卦代表雷，象征震动、激发和唤醒。"), Dict("name" => "艮 (䷳, 阴, 52)", "value" => "艮卦代表山，象征停止、静止和稳重。"), Dict("name" => "渐 (䷴, 阳, 53)", "value" => "渐卦象征逐渐、逐步和缓慢。"), Dict("name" => "归妹 (䷵, 阴, 54)", "value" => "归妹卦象征少女、婚姻和归宿。"), Dict("name" => "丰 (䷶, 阳, 55)", "value" => "丰卦象征丰盛、丰富和充实。"), Dict("name" => "旅 (䷷, 阴, 56)", "value" => "旅卦象征旅行、漂泊和迁徙。"), Dict("name" => "巽 (䷸, 阳, 57)", "value" => "巽卦代表风，象征柔和、顺从和灵活。"), Dict("name" => "兑 (䷹, 阴, 58)", "value" => "兑卦代表泽，象征喜悦、交流和沟通。"), Dict("name" => "涣 (䷺, 阳, 59)", "value" => "涣卦象征分散、化解和流动。"), Dict("name" => "节 (䷻, 阴, 60)", "value" => "节卦象征节制、约束和控制。"), Dict("name" => "中孚 (䷼, 阳, 61)", "value" => "中孚卦象征诚信、信任和诚实。"), Dict("name" => "小过 (䷽, 阴, 62)", "value" => "小过卦象征小过、轻微的过失和失误。"), Dict("name" => "既济 (䷾, 阳, 63)", "value" => "既济卦象征已完成、成功和圆满。"), Dict("name" => "未济 (䷿, 阴, 64)", "value" => "未济卦象征未完成、未成功和未实现。") ] # 创建一个实例 sixty_four_gua_mapping_annotation = SixtyFourHexagramsMappingAnnotation(sixty_four_gua) # 打印六十四卦复合卦映射标注辨证 println("六十四卦复合卦映射标注辨证:") for gua in sixty_four_gua_mapping_annotation.hexagrams println("名称: $(gua["name"])") println("描述: $(gua["value"])") println() end... ] # 创建一个实例 sixty_four_gua_mapping_annotation = SixtyFourHexagramsMappingAnnotation(sixty_four_gua) # 打印六十四卦复合卦映射标注辨证 println("六十四卦复合卦映射标注辨证:") for gua in sixty_four_gua_mapping_annotation.hexagrams println("名称: $(gua["name"])") println("描述: $(gua["value"])") println() endend
- 巽四 离九 坤二
- 震三 中五 兑七
- 艮八 坎一 乾六
- 金：具有收敛、肃杀、坚硬等特性。在自然界中，金代表金属、矿物等；在人体中，与肺、大肠等器官相关联。
- 木：具有生长、升发、条达等特性。对应自然界中的植物、树木等；在人体中，与肝、胆等器官相关。
- 水：具有滋润、向下、闭藏等特性。象征自然界中的水、液体等；在人体中，与肾、膀胱等器官联系紧密。
- 火：具有炎热、上升、光明等特性。代表自然界中的火、热能量等；在人体中，与心、小肠等器官对应。
- 土：具有承载、生化、受纳等特性。如同自然界中的土地，能承载万物生长；在人体中，与脾、胃等器官相关。
- 乾卦（☰）：象征天，具有刚健、积极、进取等特性，在五行中属金。
- 坤卦（☷）：象征地，代表柔顺、承载、包容，五行属土。
- 震卦（☳）：象征雷，有震动、生发、变化之意，五行属木。
- 巽卦（☴）：象征风，具有灵活、多变、传播等特点，五行属木。
- 坎卦（☵）：象征水，代表滋润、向下流动、深邃、变化等特质，五行属水。
- 离卦（☲）：象征火，具有光明、热情、向上、文明等特性，五行属火。
- 艮卦（☶）：象征山，代表静止、稳定、阻止、坚持等特性，五行属土。
- 兑卦（☱）：象征泽，具有喜悦、和谐、交流、言辞等特性，五行属金。
- 例如，“地天泰”卦（坤上乾下），象征着通泰、和谐的状态。坤卦代表地，乾卦代表天，地在上而天在下，象征着阴阳交泰，万物生长。
- 又如“水火既济”卦（坎上离下），表示成功、完成的状态，坎卦为水，离卦为火，水在火上，相互制约又相互成就。
- 巽四 离九 坤二
- 震三 中五 兑七
- 艮八 坜一 乾六
- 紫微斗数包含十四颗主星，如紫微星、天机星、太阳星、武曲星等，以及若干辅星和煞星。每个星宿都有独特的特质和象征意义，它们分布在紫微斗数的十二宫（命宫、兄弟宫、夫妻宫、子女宫、财帛宫、疾厄宫、迁移宫、奴仆宫、官禄宫、田宅宫、福德宫、父母宫）中，相互影响、相互作用。
- 与八卦的映射：如前所述，八卦的特质与紫微斗数中的星宿有一定的对应关系。例如，乾卦的刚健、权威特质与紫微星相对应；坤卦的柔顺、承载特质与天府星相关联等。
- 与六十四卦的映射：六十四卦的复杂象征可以为紫微斗数中星宿的组合和运势变化提供更深入的解读。例如，某些星宿组合可能与特定的六十四卦象征相似，从而预示着相应的命运趋势。
- 与九宫格的映射：九宫格的方位和数字对应关系为紫微斗数命盘提供了空间结构上的参考。星宿在不同宫位的分布可以结合九宫格的特点进行分析，以更准确地判断个人命运在不同方面的表现。
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