My requirement is to push real time data into Power BI using Python to first read from a database and then send the data inside a Streaming dataset in Power BI.
The first thing I want is to make a simple "get" call to Power BI.
The official documentation explains the processes of connecting to Power BI via the REST API for either a Client App or a Web App. However, I'm using Python - not sure if that is either a client app or a web app.
Anyway, I am able to get the accessToken using the adal library and the method .acquire_token_with_client_credentials, which asks for authority_uri, tenant, client_id and client_secret (notice this is not asking for username and password). By the way, I've also tried getting the accessToken with .acquire_token_with_username_password, but that didn't work.
Unfortunately, when I use the below code with the obtained accessToken, I get a response 403.
#accessToken is received using the adal libary
headers = {'Authorization': 'Bearer ' + accessToken, 'Content-Type': 'application/json'}
read_datasets = requests.get('https://api.powerbi.com/v1.0/myorg/datasets', headers=headers)
#shockingly, this will result in a response 403
After reading other stackoverflow posts and looking at console apps, I believe the reason this doesn't work is because there is no user sign-in process.
This thread mentions that using Client Credentials is not enough (it is enough to get the accessToken, but not enough to use the APIs)
Not sure how to proceed, but what I need is perhaps a way to keep using this adal template that gives me the accessToken, and also to provide my username and password (if required), and together with the accessToken, to access the APIs.