import csv
from pandas import json
import requests

fp = open('智聯招聘.csv', 'wt', newline='', encoding='UTF-8')
writer = csv.writer(fp)
writer.writerow(('職位', '薪資', '學歷','工作經驗', '公司','公司人數', '地區', '福利', '連結'))

def geturl(city, keyword,working,education,companyType,page):
    paras = {
        'start': '-1',
        'pageSize': page,
        'cityId': city,
        'workExperience': working,
        'education': education,
        'companyType': companyType,
        'employmentType': '-1',
        'jobWelfareTag': '-1',
        'kw': keyword,
        'kt': '3',
        '_v': '0.93300214',
        'x-zp-page-request-id': '6bda060a5be94fe5becd5af3465c33c4-1544103273892-946749'
    }
    url = 'https://fe-api.zhaopin.com/c/i/sou'
    result = json.loads(requests.get(url, params=paras).text)

    return result

def get_data(result):
    for item in result['data']['results']:
        jobname = item['jobName']
        companyname = item['company']['name']
        companynumber = item['company']['size']['name']
        xueli = item['eduLevel']['name']
        salary = item['salary']
        didian = item['city']['display']
        workingExp = item['workingExp']['name']
        url = item['positionURL']
        fuli = item['welfare']
        writer.writerow((jobname,salary,xueli,workingExp,companyname,companynumber,didian,fuli,url))


if __name__ == '__main__':

    city = input("請輸入工作的城市：")
    keyword = input("請輸入你要找的工作:")
    working = input('工作經驗：')
    companyType = input('公司型別：')
    education = input('學歷要求：')
    tatol = eval(input("共需查詢幾條符合條件的資訊："))
    result = geturl(city,keyword,working,education,companyType,tatol)
    get_data(result)