根据 the documentation ,应该可以通过给 Request 一个类似文件的对象而不是文件的内容来进行非内存密集型的上传。好的,所以我在代码中这样做:
files = {'md5': ('', md5hash),
'modified': ('', now),
'created': ('', now),
'file': (os.path.basename(url), fileobject, 'application/octet-stream', {'Content-Transfer-Encoding':'binary'})}
r = s.post(url, data=content, params=params, files=files, headers=headers)
看着它在我的电脑上运行,有一个 2.8 GB 的文件,它开始以惊人的速度消耗内存,直到它达到大约 89% 的内存使用率时才退出。然后它失败并输出以下内容:
File "***.py", line 644, in post
r = s.post(url, data=content, params=params, files=files, headers=headers)
File "/usr/local/lib/python2.7/dist-packages/requests/sessions.py", line 424, in post
return self.request('POST', url, data=data, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/requests_cache/core.py", line 110, in request
hooks, stream, verify, cert)
File "/usr/local/lib/python2.7/dist-packages/requests/sessions.py", line 348, in request
prep = self.prepare_request(req)
File "/usr/local/lib/python2.7/dist-packages/requests/sessions.py", line 286, in prepare_request
hooks=merge_hooks(request.hooks, self.hooks),
File "/usr/local/lib/python2.7/dist-packages/requests/models.py", line 289, in prepare
self.prepare_body(data, files)
File "/usr/local/lib/python2.7/dist-packages/requests/models.py", line 426, in prepare_body
(body, content_type) = self._encode_files(files, data)
File "/usr/local/lib/python2.7/dist-packages/requests/models.py", line 144, in _encode_files
body, content_type = encode_multipart_formdata(new_fields)
File "/usr/local/lib/python2.7/dist-packages/requests/packages/urllib3/filepost.py", line 101, in encode_multipart_formdata
return body.getvalue(), content_type
MemoryError
它适用于较小的文件,但这样做时仍然会占用大量内存。我是不是误会了什么?
编辑:
在看到 Martijn Pieters 的 answer 之后,我将代码更改为:
files = {'md5': ('', md5hash),
'modified': ('', now),
'created': ('', now),
'file': (os.path.basename(url), fileobject, 'application/octet-stream')}
m = requests_toolbelt.MultipartEncoder(fields=files)
headers['content-type'] = m.content_type
r = s.post(url, data=m, params=params, headers=headers)
我不得不删除 {'Content-Transfer-Encoding':'binary'},因为它似乎不受支持,并导致出现此错误消息:
File "***.py", line 647, in post
m = requests_toolbelt.MultipartEncoder(fields=files)
File "/usr/local/lib/python2.7/dist-packages/requests_toolbelt/multipart/encoder.py", line 89, in __init__
self._prepare_parts()
File "/usr/local/lib/python2.7/dist-packages/requests_toolbelt/multipart/encoder.py", line 171, in _prepare_parts
self.parts = [Part.from_field(f, enc) for f in fields]
File "/usr/local/lib/python2.7/dist-packages/requests/packages/urllib3/filepost.py", line 44, in iter_field_objects
yield RequestField.from_tuples(*field)
File "/usr/local/lib/python2.7/dist-packages/requests/packages/urllib3/fields.py", line 97, in from_tuples
filename, data = value
ValueError: too many values to unpack
(有没有办法在使用多部分编码器时仍然设置这个 header ?我更希望它在那里。)
但是,即使删除了该 header ,它仍然不起作用,因为现在我收到此错误消息:
File "***.py", line 647, in post
r = s.post(url, data=m, params=params, headers=headers)
File "/usr/local/lib/python2.7/dist-packages/requests/sessions.py", line 424, in post
return self.request('POST', url, data=data, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/requests_cache/core.py", line 114, in request
main_key = self.cache.create_key(response.request)
File "/usr/local/lib/python2.7/dist-packages/requests_cache/backends/base.py", line 156, in create_key
key.update(_to_bytes(request.body))
TypeError: must be convertible to a buffer, not MultipartEncoder
有什么想法吗?我承认我对此很陌生,而且这些错误消息,就像它们在编程中经常出现的那样,并没有什么帮助。
请您参考如下方法:
您没有流式传输上传,因为 requests 只有在 the whole body 来自打开的文件对象时才能这样做。它仍会将所有文件读入内存以构建一个由多个部分组成的帖子正文。
对于分段上传,使用 requests toolbelt ;它包括一个 Streaming Multipart Data Encoder :
from requests_toolbelt import MultipartEncoder
import requests
files = {
'md5': ('', md5hash),
'modified': ('', now),
'created': ('', now),
'file': (os.path.basename(url), fileobject, 'application/octet-stream')
}
m = MultipartEncoder(fields=dict(files, **params))
headers['content-type'] = m.content_type
r = s.post(url, data=m, headers=headers)
r = requests.post('http://httpbin.org/post', data=m, headers=headers)
MultipartEncoder 的第一个参数被解析为 iter_field_objects() function来自 urllib3 库;这意味着它可以是键值对的字典,或 RequestField() objects 的序列(列表、元组) .
像我上面那样传入字典时,每个键值对都用 RequestField.from_tuples() 解析,您只能指定字段名称、值以及可选的文件名和 mimetype。不支持额外的 header 。我在上面的示例中使用了该选项。
如果要将Content-Transfer-Encoding头添加到file字段,那么我们需要使用一系列RequestField对象:
from requests.packages.urllib3.fields import RequestField
fields = [RequestField.from_tuples(*p) for p in params.iteritems()]
fields.extend([
RequestField('md5', md5hash),
RequestField('modified', now),
RequestField('created', now),
RequestField(
'file', fileobject, 'application/octet-stream',
{'Content-Transfer-Encoding':'binary'}),
])
请注意,您不能将流媒体请求与 request-cache project 结合使用;后者需要访问请求的完整主体以生成缓存键。
您必须修补 requests_cache.backends.base.BaseCache.create_key 方法来处理 MultipartEncoder 对象,并为 body 。然而,这超出了这个问题的范围。
