解析从请求发布接收的多部分/表单数据

Question

我正在使用请求库编写Web Service客户端。我正在包含文件和text-json的multipart / form-
data中获取数据。我不知道如何解析它。是否有合适的库可以解析python中的multipart / form-data格式，还是我应该自己编写解析器？

我的代码：

data = {
  "prototypeModel" :('prototypeModel', open(prototypeModel, 'rb'), 'application/octet-stream', {'Expires': '0'}),
  "mfcc_1" : ('mfcc', open(mfcc_1, 'rb'), 'application/octet-stream', {'Expires': '0'}),
  "mfcc_2" : ('mfcc', open(mfcc_2, 'rb'), 'application/octet-stream', {'Expires': '0'}),
  "mfcc_3" : ('mfcc', open(mfcc_3, 'rb'), 'application/octet-stream', {'Expires': '0'}),
}

print( '---------------------- start enroll ----------------------')
testEnrollResponse = requests.post(server+sessionID, files = data, json = declaredParameters)

b’\ r \ n–c00750d1-8ce4-4d29-8390-b50bf02a92cc \ r \ nContent-
Disposition：表单数据；name =“ playbackHash” \ r \ n内容类型：application / octet-
stream \ r \ n \ r \ n \ x16 \ x00 \ x00 \ x00 \ x00 \ x00 \ x00 \
x00serialization :: archive \ n \ x00 \ x04 \ x08 \ x04 .... x00 \ x00R \
x94 \ x9bp \ x8c \ x00 \ r \ n–c00750d1-8ce4-4d29-8390-b50bf02a92cc \ r \
nContent-Disposition：表单数据；name =“ usersMFCC” \ r \ n内容类型：application /
octet-stream \ r \ n \ r \ n \ x16 \ x00 \ x00 \ x00 \ x00 \ x00 \ x00 \
x00serialization :: archive \ n \ x00 \ x04 \ x08 \ x04 \ x08 \ x01 \ x00 \
x00 \ x00 \ x00 \ x00 \ x00 \ x00 \ x00 \ xf8 \ x16 \ x00 \ x00 \ x00 \ x00
\ x00 \ x00 \ x00u \ xbd \ xb4 / \ xda1 \ xea \ xbf \ x0f \ xed \ xa2 <\ xc9
\ xf8 \ xe7 \ xbf？\ xd5 \ xf06u \ xe7 \ xf0 \ xbf \ xd4 \ x8d \ xd4 \ xa1F \
xbe \ x03 \ x85 @！ \ x8co \ xf7 \ r .....
x80 \ xd9 \ x95Yxn \ xd0？\ r \ n–c00750d1-8ce4-4d29-8390-b50bf02a92cc \ r
\ nContent-Disposition：表单数据；name =“ scoreAndStatus” \ r \ n内容类型：application
/ json; charset = utf-8 \ r \ n \ r \ n {“
lexLikelihood”：1.544479046897232，“ overallScore”：-nan，“
playbackLikelihood”：-inf，“ status”：{“ errorCode”：0，“ errorMessage”：“ “}} \ r
\ n–c00750d1-8ce4-4d29-8390-b50bf02a92cc-\ r \ n’

我用“ .....”替换了更多的二进制数据。

Answer 1

如果收到multipart/form-data响应，则可以使用requests-toolbelt库来解析它，如下所示：

$ pip install requests-toolbelt

安装后

from requests_toolbelt.multipart import decoder

testEnrollResponse = requests.post(...)
multipart_data = decoder.MultipartDecoder.from_response(testEnrollResponse)

for part in multipart_data.parts:
    print(part.content)  # Alternatively, part.text if you want unicode
    print(part.headers)