#?encoding=utf-8

from?pymongo?import?MongoClient
import?requests
import?time
import?json
from?datetime?import?datetime?timedelta


def?download（date）:
????‘‘‘
????download?data
????:param?date:
????:return:
????‘‘‘
????url?=?“https://zgdypw.cn/pors/w/webStatisticsDatas/api/{}/searchDayBoxOffice“.format（date）
????headers?=?{
????????“Accept“:?“application/json?text/plain?*/*“
????????“Accept-Encoding“:?“gzip?deflate?br“
????????“Accept-Language“:?“zh-CNzh;q=0.9en;q=0.8“
????????“Cache-Control“:?“no-cache“
????????“Connection“:?“keep-alive“
????????“Host“:?“zgdypw.cn“
????????“Pragma“:?“no-cache“
????????“Referer“:?“https://zgdypw.cn/“
????????“User-Agent“:?“Mozilla/5.0（Windows?NT?6.1;?WOW64）?AppleWebKit/537.36?（KHTML?like?Gecko）?Chrome/67.0.3396.99?Safari/537.36“
????}
????proxies?=?{
????????“http“:?“http://HA316W644LD61S7D:6DB767CAAC501ABD@http-dyn.abuyun.com:9020“
????????“https“:?“http://HA316W644LD61S7D:6DB767CAAC501ABD@http-dyn.abuyun.com:9020“
????}
????response?=?requests.get（url?headers=headers?proxies=proxies）
????response.encoding?=?“utf-8“
????if?response.status_code?==?200:
????????data?=?json.loads（response.text）[“data“]
????????#?total
????????dayBoxOffice?=?data[“dayBoxOffice“]
????????with?open（“dayBoxOffice.csv“?“a+“?encoding=“utf-8“）?as?file:
????????????file.write（“{0}{1}{2}{3}{4}\n“.format（
????????????????dayBoxOffice[“businessDay“]
????????????????dayBoxOffice[“cinemaCount“]
????????????????dayBoxOffice[“totalAudience“]
????????????????dayBoxOffice[“totalBoxoffice“]
????????????????dayBoxOffice[“totalSession“]
????????????））
????????#?CinemaChains
????????top10CinemaChains?=?data[“top10CinemaChains“]
????????with?open（“top10CinemaChains.csv“?“a+“?encoding=“utf-8“）?as?file:
????????????for?item?in?top10CinemaChains:
????????????????file.write（“{0}{1}{2}{3}{4}{5}\n“.format（
????????????????????date
????????????????????item[“cinemaChainName“]
????????????????????item[“dayAudience“]
????????????????????item[“daySession“]
????????????????????item[“rank“]
????????????????????item[“totalSales“]
????????????????））
????????#?Cinemas
????????top10Cinemas?=?data[“top10Cinemas“]
????????with?open（“top10Cinemas.csv“?“a+“?encoding=“utf-8“）?as?file:
????????????for?item?in?top10Cinemas:
????????????????file.write（“{0}{1}{2}{3}{4}{5}\n“.format（
????????????????????date
????????????????????item[“cinemaName“]
????????????????????item[“dayAudience“]
????????????????????item[“daySession“]
????????????????????item[“rank“]
????????????????????item[“totalSales“]
????????????????））
????????#?Citys
????????top10Citys?=?data[“top10Citys“]
????????with?open（“top10Citys.csv“?“a+“?encoding=“utf-8“）?as?file:
????????????for?item?in?top10Citys:
????????????????file.write（“{0}{1}{2}{3}{4}{5}\n“.format（
????????????????????date
????????????????????item[“cityName“]
????????????????????item[“dayAudience“]
???????????

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件?????355288??2018-12-26?17:45??movies\.ipynb_checkpoints\movie1-checkpoint.ipynb

?????文件?????136926??2018-12-26?19:16??movies\.ipynb_checkpoints\movie2-checkpoint.ipynb

?????文件?????921020??2018-12-27?10:08??movies\.ipynb_checkpoints\movie3-checkpoint.ipynb

?????文件?????557404??2018-12-27?10:01??movies\.ipynb_checkpoints\movie4-checkpoint.ipynb

?????文件?????455002??2018-12-27?09:42??movies\.ipynb_checkpoints\movie5-checkpoint.ipynb

?????文件????1193765??2018-12-27?14:06??movies\.ipynb_checkpoints\movie6-checkpoint.ipynb

?????文件??????16047??2018-12-26?16:53??movies\dayBoxOffice.csv

?????文件???????4164??2018-12-26?17:24??movies\download.py

?????文件?????355288??2018-12-27?12:22??movies\movie1.ipynb

?????文件?????137815??2018-12-27?09:07??movies\movie2.ipynb

?????文件?????921020??2018-12-27?10:08??movies\movie3.ipynb

?????文件?????557404??2018-12-27?10:01??movies\movie4.ipynb

?????文件?????455002??2018-12-27?09:42??movies\movie5.ipynb

?????文件????1193765??2018-12-27?14:06??movies\movie6.ipynb

?????文件?????170164??2018-12-26?16:54??movies\top10CinemaChains.csv

?????文件?????243167??2018-12-26?16:55??movies\top10Cinemas.csv

?????文件?????146211??2018-12-26?16:55??movies\top10Citys.csv

?????文件?????194667??2018-12-27?09:07??movies\top10Films.csv

?????文件??????????0??2018-12-26?16:03??movies\__init__.py

?????目錄??????????0??2018-12-27?12:19??movies\.ipynb_checkpoints

?????目錄??????????0??2018-12-27?14:06??movies

-----------?---------??----------?-----??----

??????????????8014119????????????????????21