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There should be a way to detect if you are using via a Jupyter notebook, and auto-authenticate using gar_gce_auth() or similar. Also need to look at how non-cloud APIs like googleAnalyticsR best authenticate in notebooks as you can't use ga_auth()
The text was updated successfully, but these errors were encountered:
Non-cloud APIs can either upload an offline token, or use gcloud to issue a user token:
## in the terminal, issue this gcloud command specifying the scopes to authenticate with
gcloud auth application-default login --scopes=https://www.googleapis.com/auth/analytics.readonly
## access the URL, login and create a verification code, paste in console.
## view then copy-paste the access token, to be passed into the R function
gcloud auth application-default print-access-token
# ya29.GlsiB-p2XXXXzuipzlNa_tZfqGoWpyZCNqf3-pWaioy-2mGjnrRos22acXXXX_94LUBjohSmboc-15saPfXXXXphhIj4mj9hT
Then in R, use the new function gar_gce_auth_defult to turn it into the expected R token:
gar_gce_auth_default(<token-copy-pasted>,
scopes='https://www.googleapis.com/auth/analytics.readonly',
cache_file='my_ga.auth')
# use token to authenticate as you would normally with library# set up auto-auth with googleAnalyticsR
Sys.setenv("GA_AUTH_FILE"="my_ga.auth")
library(googleAnalyticsR)
#Successfully auto-authenticated via ./my_ga.auth
There should be a way to detect if you are using via a Jupyter notebook, and auto-authenticate using
gar_gce_auth()
or similar. Also need to look at how non-cloud APIs likegoogleAnalyticsR
best authenticate in notebooks as you can't usega_auth()
The text was updated successfully, but these errors were encountered: