semvec/pypi-packages huggingface dataset:
textx-model 0.0.5
Meta-language for DSL implementation inspired by Xtext
License: Apache
Requires Python: >=3.8.5

# 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))