#!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@Contact :   liuyuqi.gov@msn.cn
@Time    :   2017年6月26日
@License :   Copyright © 2017-2022 liuyuqi. All Rights Reserved.
@Desc    :   
'''

import os,datetime
import unicodecsv as csv
from bs4 import BeautifulSoup
import pandas as pd
class GooExport(object):
    """ docstring for GooExport """

    def __init__(self, inputDataPath, outResultFile):
        self.inputDataPath=inputDataPath
        self.outResultFile=outResultFile
        self.job = pd.DataFrame()

    def parseXml(self, dataFile):
        # print(dataFile,"------------------")
        with open(dataFile, 'r',encoding='utf8', errors = 'replace') as f:
            xml_doc =f.read()   #读取xml文本内容
        # 去除空格和换行
        xml_doc=xml_doc.replace("\n", "")
        xml_doc=xml_doc.replace(" ", "")
        # xml 形式读取
        soup = BeautifulSoup(xml_doc, "lxml-xml")
        
        needData=soup.findChild("job")
        for i in range(len(needData.contents)):
            data=dict()
            for j in range(len(needData.contents[i].contents)):
                try:
                    key=needData.contents[i].contents[j].name
                    value=needData.contents[i].contents[j].contents[0]
                    data[key]=value
                except Exception as e:
                    print(e)
            # 把data加入到job(dataframe)中,其中key是列名,value是数据,可能会缺失字段
            new_df = pd.DataFrame([data])  # Convert the data to a DataFrame
            self.job = pd.concat([self.job, new_df], ignore_index=True)
        self.removeDuplication()

    def removeDuplication(self):
        # print("removeDuplication")
        self.job=self.job.drop_duplicates()


    def run(self):
        print("start!")
        os.chdir(self.inputDataPath)
        for lists in os.listdir(self.inputDataPath):
            if os.path.isfile(os.path.join(self.inputDataPath, lists)) and lists.endswith(".xml"):
                self.parseXml(os.path.join(self.inputDataPath, lists))

        with open(self.outResultFile, 'wb') as f:
            writer = csv.writer(f, dialect='excel', encoding='gb18030',errors="ignore")
            writer.writerow(self.job.columns)
            writer.writerows(self.job.values)
        print("finish!")

if __name__=='__main__':
    from argparse import ArgumentParser

    parser = ArgumentParser()
    parser.add_argument("-i", "--inputDataPath", help="inputDataPath", default=".", type=str)
    parser.add_argument("-o", "--outResultFile", help="outResultFile", default="", type=str)

    args = parser.parse_args()
    inputDataPath=args.inputDataPath
    outResultFile=args.outResultFile
    if outResultFile == "": 
        outResultFile= os.path.join(inputDataPath, "result%s.csv" % datetime.datetime.now().strftime("%Y%m%d%H%M%S"))
    
    if inputDataPath=="" or outResultFile=="":
        print("please input inputDataPath and outResultFile")
        exit()
    gooExport = GooExport(inputDataPath, outResultFile)
    gooExport.run()