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  • xmind-excel

    xmind2Excel        1.0.1
    xmind2testcase     1.5.0
    xxmind             1.0.1

    Python -c "from xmind2Excel.main import  Main; Main()"

      

    代码实现解析xmind:

    import xmindparser
    import pandas as pd
    import numpy as np
    def xmind_constructor(filePath=None):
        xmindparser.config = {
            'showTopicId': True, # 是否展示主题ID
            'hideEmptyValue': True # 是否隐藏空值
        }
    
        filePath = '/Users/chenquan/Documents/tapd01.xmind'
    
        content = xmindparser.xmind_to_dict(filePath)
    
        root_topics = content[0]["topic"]['topics']
        root_title = content[0]["topic"]['title']
        # print(root_title)
        testcases = []
        for i in range(len(root_topics)):
            module_title = root_topics[i]['title']
            module_topics = root_topics[i]['topics']
            print(module_title)
            for j in range(len(module_topics)):
                second_moudle_title = module_topics[j]['title']
                second_name_topics = module_topics[j].get("topics")
                if second_name_topics:
                # print(module_title+"--"+name_title)
                    for k in range(len(second_name_topics)):
                        name_title = second_name_topics[k]['title']
                        name_topics = second_name_topics[k].get("topics")
                        if name_topics:
                        # print(module_title+"--"+name_title+"--"+precondtion_title)
                            for m in range(len(name_topics)):
                                precondition_title = name_topics[m]['title']
                                precondition_topics = name_topics[m].get("topics",'')
                                if precondition_topics:
                                    for n in range(len(precondition_topics)):
                                        step_title = precondition_topics[n]['title']
                                        step_topics = precondition_topics[n].get("topics")
                                        if step_topics:
                                            for x in range(len(step_topics)):
                                                expect_title = step_topics[x].get('title','')
                                                testcases.append([root_title+""+module_title+second_moudle_title+name_title
                                                                     ,precondition_title,step_title,expect_title])
        return testcases
    
    
    
    if __name__ == '__main__':
    
        rs = xmind_constructor()
        data =np.array(rs)
        df = pd.DataFrame(data,columns=['title','precondition','step','expect'])
        df.to_csv("./test1.csv")
    

      

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  • 原文地址:https://www.cnblogs.com/SunshineKimi/p/15309933.html
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