CODEWITHSUNDEEP
python-3.xoffice365office365apimicrosoft-teams
Christopher Klapperich
Christopher Klapperich

Reputation: 394

Grabbing files from Microsoft Teams using Python

Teams seems to lack any native way of mirroring files to a shared directory. I'm Trying use Python (or another language but python preferred!) to either:

a. Directly pull from microsoft teams into memory using Python to process with Pandas

b. Copy files from teams into a shared network folder (which Python could then read in)

I found this but can't get it to work with teams - the teams URLs don't look anything like these do. How to read SharePoint Online (Office365) Excel files in Python with Work or School Account?

It seems close to what I want to do though. I also found "pymsteams" on PyPi repository. https://pypi.org/project/pymsteams/ which just seems to let you send messages to Teams and nothing else? unless I misunderstand something.

https://pypi.org/project/Office365-REST-Python-Client/

https://pypi.org/project/pymsteams/

from office365.runtime.auth.authentication_context
import AuthenticationContext
from office365.sharepoint.client_context import ClientContext
from office365.sharepoint.file import File 

url = 'https://teams.microsoft.com/l/file'
username = 'myusername'
password = 'mypassword'
relative_url ='myurl'

ctx_auth = AuthenticationContext(url)
ctx_auth.acquire_token_for_user(username, password)

Trying to run the above code gives AttributeError: 'NoneType' object has no attribute 'text'

Full stack trace: 

runfile('H:/repos/foo/untitled0.py', wdir='H:/repos/foo')
Traceback (most recent call last):

  File "<ipython-input-35-314ab7dc63c9>", line 1, in <module>
    runfile('H:/repos/foo/untitled0.py', wdir='H:/foo/image_ai')

  File "C:\ProgramData\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 786, in runfile
    execfile(filename, namespace)

  File "C:\ProgramData\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
    exec(compile(f.read(), filename, 'exec'), namespace)

  File "H:/repos/image_ai/untitled0.py", line 10, in <module>
    ctx_auth.acquire_token_for_user(username, password)

  File "C:\ProgramData\Anaconda3\lib\site-packages\office365\runtime\auth\authentication_context.py", line 18, in acquire_token_for_user
    return self.provider.acquire_token()

  File "C:\ProgramData\Anaconda3\lib\site-packages\office365\runtime\auth\saml_token_provider.py", line 57, in acquire_token
    self.acquire_service_token(options)

  File "C:\ProgramData\Anaconda3\lib\site-packages\office365\runtime\auth\saml_token_provider.py", line 88, in acquire_service_token
    token = self.process_service_token_response(response)

  File "C:\ProgramData\Anaconda3\lib\site-packages\office365\runtime\auth\saml_token_provider.py", line 119, in process_service_token_response
    return token.text

AttributeError: 'NoneType' object has no attribute 'text'

Upvotes: 11

Views: 31913

Answers (1)

james_goodall
james_goodall

Reputation: 81

I've managed to get it working using the Office-365-REST-Python-Client you linked.

If you're using SharePoint Online, you'll need to get an App-Only principle set up and connect using the acquire_token_for_app function instead of acquire_token_for_user, then passing a client_id and client_secret instead of username & password.

from office365.runtime.auth.authentication_context import AuthenticationContext
from office365.sharepoint.client_context import ClientContext
from office365.sharepoint.file import File

client_id = 'yourclientid'
client_secret = 'yourclientsecret'
url = 'https://yoursharepointsite.com/teams/yourteam'
relative_url = '/teams/yourteam/Shared%20Documents/yourteamschannel/yourdoc.extension'
  
ctx_auth = AuthenticationContext(url)
if ctx_auth.acquire_token_for_app(client_id, client_secret):
    ctx = ClientContext(url, ctx_auth)
    with open(filename, 'wb') as output_file:
        response = File.open_binary(ctx, relative_url)
        output_file.write(response.content) 
else:
    print(ctx_auth.get_last_error())

This should download your file to a local drive (specified via the filename variable) and you can then load into pandas etc to process

Upvotes: 8

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