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python实现文件关键字扫描工具

python实现文件关键字扫描工具

作者: 非鱼2018 | 来源:发表于2021-06-23 20:37 被阅读0次

    效果:


    image.png

    搜索关键字并生成问题报告

    源码:

    # coding=utf-8
    # 搜索关键字
    import os
    import jinja2
    import matplotlib.pyplot as plt
    import matplotlib as mpl
    from jinja2 import PackageLoader, Environment, FileSystemLoader
    from bs4 import BeautifulSoup as BS
    
    def search_key(fileptah,key,exclude_dir=None):
        bugs_info=[]
        all_files=[]
        for root,dirpath,files in os.walk(fileptah):
            print(root)
            for file in files:
                file_path=os.path.join(root,file)
                all_files.append(file_path)
                for rows,lines in enumerate(open(file_path,'r').readlines(),start=1):
                    if key in lines:
                        bugs_info.append("{}-{}-{}".format(file_path,rows,lines))
                    else:
                        continue
        return bugs_info,all_files
    
    
    def create_pie(*args):
    
    
        mpl.rcParams["font.sans-serif"] = ["SimHei"]
        mpl.rcParams["axes.unicode_minus"] = False
    
        elements = ["文件数", "问题数"]
    
        weight=args
        #weight = [40, 15]
        # colors = ["#377eb8", "#4daf4a"]
        explode = (0, 0.1)  # 离开中心距离
        #使饼图显示数字而不是百分比
        def make_autopct(values):
            def my_autopct(pct):
                total = sum(values)
                val = int(round(pct * total / 100.0))
                return '{v:d}'.format(v=val)
    
            return my_autopct
    
        colors = ['green', 'red']
        wedges, texts, autotexts = plt.pie(weight,explode=explode,
                                           textprops=dict(color="w"), autopct=make_autopct(weight), colors=colors
                                           )
        plt.legend(wedges,elements,fontsize=12,loc="upper center",
                   bbox_to_anchor=(0.91, 0, 0.3, 1))
    
        plt.setp(autotexts, size=15, weight="bold")
        plt.setp(texts, size=12)
        plt.title("扫描报告")
        #plt.show()
        import time
        img_path='pie-{}.png'.format(round(time.time()))
        plt.savefig(img_path,figsize=[5, 5])
        img_path=os.path.normpath(os.path.join(os.path.dirname(__file__),img_path))
        return img_path
    
    
    def main(file_dir):
        
        res, all_files = search_key(file_dir, 'china')
        results = []
    
        for i in res:
            res_dict = {}
            file_path, lines_number, buginfo = i.split('-')
            res_dict["file_path"] = file_path
            res_dict["lines_number"] = lines_number
            res_dict["buginfo"] = buginfo
            results.append(res_dict)
    
        print(results)
        img_path=create_pie(len(all_files), len(res))
        env = Environment(loader=FileSystemLoader('./templete'))
        template = env.get_template('temp0614.html')
        content = template.render(files_count=len(all_files), bugs_count=len(res), image_url=img_path, bugs=results)
        with open('res0614.html', 'w') as f:
            f.write(content)
    
    
    if __name__ == '__main__':
        file_dir = r"D:\files"
        main(filedir)
    

    html模板:

    
    <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
            "http://www.w3.org/TR/html4/loose.dtd">
    <html>
    <head>
        <title>temp1</title>
    </head>
    <body>
    <h1>扫描报告</h1>
    <h3>文件个数:{{files_count}}</h3>
    <h3>问题个数:{{bugs_count}}</h3>
    <img height="240" width="320" src={{image_url}}>
    <table border="1">
        <tr><th>文件路径</th><th>行数</th><th>问题</th></tr>
        {% for bug in bugs %}
        <tr>
    
    
        <td>{{bug.file_path}}</td><td>{{bug.lines_number}}</td><td>{{bug.buginfo}}</td>
    
        </tr>
        {% endfor %}
    </table>
    
    </body>
    </html>
    
    

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