How to connect to Atlassian python API using Auth 2.0 Bearer Token

[equigley2]

Hi - I am trying to connect to Confluence with the Atlassian python API using Oauth 2.0 with a bearer token as required by my company because we have our own domain and use multi-factor authentication. 

The link below shows the different authentication methods. 
https://atlassian-python-api.readthedocs.io/index.html

I have tested my token and URL using the below on the command line and it works (token and content shown below are fake)
curl -H "Authorization: Bearer XYMWODLW" https://wiki.mycompany.com/rest/api/content/123

I am having trouble translating this to one of the authentication methods in the link. Bearer tokens are typical in Oauth 2.0. When I reference the Oauth 2.0 section, I get the below code.

from atlassian.bitbucket import Cloud

# token is a dictionary and must at least contain "access_token"
# and "token_type".
oauth2_dict = {
    "client_id": client_id,
    "token": token}

bitbucket_cloud = Cloud(
    oauth2=oauth2_dict)

# For a detailed example see bitbucket_oauth2.py in
# examples/bitbucket

My questions: 
1. Does this also work for Confluence?
2. Where do I get client_id?
3. What is the actual format? Example shown below. (I was unable to find bitbucket_oauth2.py to reference)

oauth2_dict = { "client_id": client_id,

                          "token": {"access_token" : "XYMWODLW",

                                         "token_type" : "Bearer"

                                         }

                        }

[equigley2]

Hi, I have solved my above issue and wanted to report back the solution in case it helps anyone else.

import requests
from atlassian import Confluence

s = requests.Session()
s.headers['Authorization'] = 'Bearer XYMWODLW'
confluence = Confluence(url='https://wiki.mycompany.com/', session=s)

Then you can use the methods in the python API wrapper
https://atlassian-python-api.readthedocs.io/index.html
confluence.get_page_space('123')

(Fake bearer token above)

Reference:

https://github.com/atlassian-api/atlassian-python-api/issues/467

[R. Angel]

Hi @equigley2 , 
I have the same issue. I get the error: HTTPError: Current user not permitted to use Confluence

To get the Bearer Token, did you simply follow the documentation ?

I also checked the scopes in the Developer Console and added as much as possible without success. Any insights are more than welcome.

Thanks in advance

[Yasir Kusay]

Thanks @equigley2

I spent some time trying to get this to work but your solution worked for me.

[Ishan Kaul]

Hi , @equigley2 @Yasir Kusay I am attempting what I think is the same code, but still getting an HTTPError. My code looks like

s = Session()

s.headers["Authorization"] = f"Bearer {access_token}"

confluence = Confluence(url=base_url, session=s)

page_contents = confluence.get_page_by_id(page_id)

I get my access_token from the oauth 2.0 handshake with confluence, and base url through another request to the atlassian accessible-resources api

The scopes returned from accessible resources from the token looked like:

#readonly:content.attachment:confluence

#read:confluence-content.all
#read:confluence-content.summary
#read:confluence-user
#search:confluence
#read:confluence-space.summary
so I don't think it's a permissions issue.

Is there anything you guys did differently to get it working?

[Ishan Kaul]

UPDATE: I have found the solution finally. Since Atlassian's python client library now points to the v2 API, the url passed to Confluence.__init__ needs to be structured like  

(https)"api.atlassian.com/ex/confluence/{client_id}/wiki/" (NOTE: the url provided in the python example for the v2 docs is incorrect as of this writing). The python client will inject "

rest/api/content/{page_id}" into the path when it calls get_page_by_id.
So for anyone trying to do this by making a request, the final url in the GET request is 
api.atlassian.com/ex/confluence/{client_id}/wiki/rest/api/content/{page_id}.

Note that I also went on a mad frenzy adding both classic and granular read scopes so I'm not sure which ones actually allowed it to work

[girija kakani]

Hi everyone,

I’m new to working with the Confluence API and I’m trying to write a Python script to access my organization’s Confluence space and export the content.

Here’s the situation:

 Our company uses SSO (Single Sign-On) for Confluence login.

 I’m using the atlassian-python-api library.

My script looks like this:

 import os

from atlassian import Confluence

confluence = Confluence(

   url=os.getenv("CONFLUENCE_URL"),

  username=os.getenv("CONFLUENCE_USER"),

  password=os.getenv("CONFLUENCE_TOKEN")

)

However, every time I run it, I get a 401 Unauthorized error.

I’m guessing this might be related to our SSO setup - maybe username/password or API tokens aren’t valid with SSO.

• Could someone explain what additional information or credentials I might need from my IT/admin team to successfully connect? For example:
• Do I need an OAuth 2.0 access token instead?
• Should I request a client ID / client secret to generate a token?

Are there specific API scopes or permissions they need to grant me?

Any guidance or steps on how to properly authenticate when SSO is enabled would be really appreciated!