textx-model 0.0.5

Meta-language for DSL implementation inspired by Xtext

textx_model

介绍

以textX为基础构建出可运行条件规则语句然后输出结果的模型

条件规则语句（例）："(current_medical_program = '白细胞计数') and (specimen_type = '全血') and "
"(medicine_projects in '[1,2,3]') and (time < 6)"

1. 当里面变量是："current_medical_program = '白细胞计数';specimen_type = '全血';medicine_projects = '2';time = 5;"

   结果输出: True

2. 当里面变量是："current_medical_program = '白细胞计数';specimen_type = '全血';medicine_projects = '2';time = 8;"

   结果输出: False

功能介绍

包含两个模型：通用模型（general_model）和 case when 专用模型（cs_model），它们处理的条件规则语句不同。

包含一个工具：字典转字符串工具（dict_to_str）

1. 通用模型

   能处理的条件规则语句（例）："(current_medical_program = '白细胞计数') and (specimen_type = '全血') and "
   "(medicine_projects in '[1,2,3]') and (time < 6)"

   使用通用模型： from textx_model import general_model

2. case when 专用模型

   能处理的条件规则语句（例）："case when (current_medical_program = '白细胞计数') and (specimen_type = '全血') and "
   "(medicine_projects in '[1,2,3]') and (time < 6) then '提醒消息：白细胞计数的消息' else ''"

   使用case when 专用模型

   from textx_model import cs_model

3. 字典转字符串工具

   from textx_tools import dict_to_str

安装教程

1. pip install textx-model

使用说明

1. 通用模型

   from textx_model import general_model

   rule = "(current_medical_program = '白细胞计数') and (specimen_type = '全血') and "
   "(medicine_projects in '[1,2,3]') and (time < 6)"

   true_example = "current_medical_program = '白细胞计数';specimen_type = '全血';medicine_projects = '2';time = 5;"

   false_example = "current_medical_program = '白细胞计数';specimen_type = '全血';medicine_projects = '2';time = 8;"

   gm = general_model(true_example, rule)

   print(gm.run()) # 预期结果：True

   gm = general_model(false_example, rule)

   print(gm.run()) # 预期结果：False

2. case when 专用模型

   from textx_model import cs_model

   rule = "case when (current_medical_program = '白细胞计数') and (specimen_type = '全血') and "
   "(medicine_projects in '[1,2,3]') and (time < 6) then '提醒消息：白细胞计数的消息' else ''"

   true_example = "current_medical_program = '白细胞计数';specimen_type = '全血';medicine_projects = '2';time = 5;"

   false_example = "current_medical_program = '白细胞计数';specimen_type = '全血';medicine_projects = '2';time = 8;"

   cs = cs_model(true_example, rule)

   print(cs.run()) # 预期结果：提醒消息：白细胞计数的消息

   cs = cs_model(false_example, rule)

   print(cs.run()) # 预期结果：''

3. 字典转字符串工具

   from textx_tools import dict_to_str

   data_dict = { 'current_medical_program': '白细胞计数', 'specimen_type': '全血', 'medicine_projects': '2', 'time': 8, '_list': [1, 2, 3] }

   """ 预期结果： "current_medical_program = '白细胞计数';specimen_type = '全血';medicine_projects = '2';time = 8;_list = '[1,2,3]';" """

   print(dict_to_str(data_dict))