How do I attach a document in confluence using Python with an Oauth Token?

[mark mark]

I would like to attach files to confluence from the rest API using Python with Oauth.

I was trying with the code below but I get the following error message

Unsupported Media Type

description

The server refused this request because the request entity is in a format not supported by the requested resource for the requested method.

fileinfo = open(filename, 'rb')
files = {
  'file': fileinfo}
headers = {'X-Atlassian-Token': 'no-check'}
headers['Content-Type'] = 'text/plain'
url = self._get_url('content/'+str(contentId) + "/child/attachment")
r = self._session.post(
            url, files=files, headers=headers)

#Where _session is my ResilientSession with Oauth info already setup

[mark mark · Accepted solution]

I was able to get this to work with the following code modified from the jira client, that came from pip install jira.

 def content_attachment(self, contentId, filename):
        url = self._get_url('content/'+str(contentId) + "/child/attachment")
        #attachment will also work if you just pass the filename
        attachment = open(filename, 'rb')
        result = None
        try:
            if 'MultipartEncoder' not in globals():
                #method = 'old'
                result = self._session.post(
                    url,
                    files={
                        'file': (filename, attachment, 'application/octet-stream')},
                    headers=CaseInsensitiveDict({'content-type': None, 'X-Atlassian-Token': 'nocheck'}))
            else:
                #method = 'MultipartEncoder'    
                def file_stream():
                    return MultipartEncoder(
                        fields={
                            'file': (filename, attachment, 'application/octet-stream')})
                m = file_stream()
                result = self._session.post(
                    url, data=m, headers=CaseInsensitiveDict({'content-type': m.content_type, 'X-Atlassian-Token': 'nocheck'}), retry_data=file_stream)
        except JIRAError as e:
            if e.status_code == 400:
                logging.error(str(e))
                return
            raise
        if not result or not isinstance(result, collections.Iterable):
            raise JIRAError("Unable to parse JSON: %s" % result)

        for data in result:
            print (data)
            for fields in result.get(data):
                print (fields)
                return fields.get("id")

        return json_loads(result)