Python遍历文件夹 处理json文件的方法
有两种做法：os.walk()、pathlib库，个人感觉pathlib库的path.glob用来匹配文件比较简单。
下面是第二种做法的实例（第一种做法百度有很多文章）：
from pathlib import Path
import json
analysis_root_dir = "D:\\analysis_data\json_file"
store_result="D:\\analysis_data\\analysis_result\\dependency.csv"
def parse_dir(root_dir):
path = Path(root_dir)
all_json_file = list(path.glob('**/*.json'))
parse_result = []
for json_file in all_json_file:
# 获取所在目录的名称
service_name = json_file.parent.stem
with json_file.open() as f:
json_result = json.load(f)
json_result["service_name"] = service_name
parse_result.append(json_result)
return parse_result
def write_result_in_file(write_path , write_content):
with open(write_path,'w') as f:
f.writelines("service_name,action,method,url\n")
for dict_content in write_content:
url = dict_content['url']
method = dict_content['method']
action = dict_content['action']
service_name = dict_content['service_name']
f.writelines(service_name + ","+ action+","+method + ","+ url+"\n")
def main():
print("main begin...")
parse_result = parse_dir(analysis_root_dir)
print(parse_result)
write_result_in_file(store_result,parse_result)
print("main finished...")
if __name__ == '__main__':
main()
运行结果
main begin...
[{'url': '/rest/webservice/v1/dosomthing', 'method': 'post', 'action': 'create', 'service_name': 'WebSubService'}, {'url': '/rest/webservice/v1/dosomthing', 'method': 'post', 'action': 'create', 'service_name': 'WebSubService01'}, {'url': '/rest/webservice/v1/dosomthing', 'method': 'post', 'action': 'create', 'service_name': 'WebSubService02'}, {'url': '/rest/webservice/v1/dosomthing', 'method': 'post', 'action': 'create', 'service_name': 'WebSubService03'}, {'url': '/rest/webservice/v1/dosomthing', 'method': 'post', 'action': 'create', 'service_name': 'WebSubService04'}, {'url': '/rest/webservice/v1/dosomthing', 'method': 'post', 'action': 'create', 'service_name': 'WebSubService05'}]
main finished...
目录结构
json file内容
{
"url":"/rest/webservice/v1/dosomthing",
"method":"post",
"action":"create"
}
以上这篇Python遍历文件夹 处理json文件的方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持【听图阁-专注于Python设计】。
