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import requests,base64,lxml.html,json,os
from requests_toolbelt import MultipartEncoder
def img_to_base64(imagefile):
image_data = open(imagefile, 'rb').read()
return base64.b64encode(image_data)
def upload_to_JD(imagefile):
url = 'https://imio.jd.com/uploadfile/file/post.do'
headers = {
'authority': 'imio.jd.com',
'pragma': 'no-cache',
'cache-control': 'no-cache',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36',
'dnt': '1',
'accept': 'application/json',
'origin': 'chrome-extension://dckaeinoeaogebmhijpkpmacifmpgmcb',
'sec-fetch-site': 'none',
'sec-fetch-mode': 'cors',
'sec-fetch-dest': 'empty',
'accept-language': 'zh-CN,zh;q=0.9,en-CN;q=0.8,en;q=0.7',
'cookie': 'shshshfpa=file-dd.jd.local_file-dd.jd.local',
}
form_data = {
'appId': 'im.customer',
'aid': 'undefined',
'clientType': 'comet',
'pin': 'undefined',
's': img_to_base64(imagefile)
}
# 生成可用于multipart/form-data上传的数据
m = MultipartEncoder(form_data)
# 自动生成Content-Type类型和随机码
headers['Content-Type'] = m.content_type
# 使用data上传文件
r = requests.post(url, headers=headers, data=m)
json_strs = lxml.html.document_fromstring(r.text).find('body').text
try:
json_obj = json.loads(json_strs)
if json_obj['desc'] == "上传成功":
print(json_obj['path'])
return json_obj['path']
else:
print(imagefile,json_obj)
except Exception as e:
print('遇到错误:',e,'图片文件:','')
'''获取文件的大小,结果保留两位小数,单位为MB'''
def get_FileSize(filePath):
# filePath = unicode(filePath,'utf8')
fsize = os.path.getsize(filePath)
# fsize = fsize/float(1024*1024)
return fsize
if __name__ == '__main__':
files = os.listdir() # 获取当前目录中的文件名
result = {}
for file in files:
if get_FileSize(file) <= (10*1024*1024):
imgurl = upload_to_JD(file)
result[file]=imgurl
with open('upload_result.json','w',encoding='utf-8') as f:
json.dump(result,f)
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