I created a project using the Google Cloud Console and created an OAuth screen. But when I used Python in colab to access the calendar, I got an error message that I don't have a proper redirect uri. Is there any way to bypass accessing my Google Calendar with my login credentials rather than using an access token
Related
I've built a desktop app in python and want some friends to use it, I need that when they run it the app will access some online database to make sure that its actually them and not someone else.
I chose google drive for the mean time (created a new user for the app) and everything works with pydrive but it seems that the google user needs to be logged in.
How can the app access the drive to get the necessary information from other computers in which this specific google user is not logged in?
Please can anyone help me with how to fetch file stored in google drive?
I've a VM Compute engine in GCP and associated service account. This service account have an access to the google drive folder.
I thought to use python script on VM while will access the File on GDrive.
Not sure how to do this.
I guess you can try to impersonate the service account you are using.
Attaching a service account to a resource
For some Google Cloud resources, you can specify a user-managed service account that the resource uses as its default identity. This process is known as attaching the service account to the resource, or associating the service account with the resource.
When a resource needs to access other Google Cloud services and resources, it impersonates the service account that is attached to itself. For example, if you attach a service account to a Compute Engine instance, and the applications on the instance use a client library to call Google Cloud APIs, those applications automatically impersonate the attached service account.
Let me know if this was helpful.
I am trying to connect to Google's Gmail API to fetch gmail data and interact with the service through jupyter notebook and Python using Visual Studio Code. I ran Google's quickstart.py, but I keep on running into this error:
Authorization Error
Error 400: redirect_uri_mismatch
You can't sign in to this app because it doesn't comply with Google's
OAuth 2.0 policy.; If you're the app developer, register the redirect
URI in the Google Cloud Console.
It gives me an URI each time, so I keep on adding the URI to the OAuth 2.0 but this error never seems to stop. I'm not sure what to put in here for the systems I am using (VS Code, Jupyter, and Python). I don't have an app running. I just want to do data science project with this data.
I spent many hours online trying to figure this out but none to avail... Please help me connect to Gmail! Again, I just want to download email data from Gmail and create labels to sort emails through Python.
Thanks for your help in advance!
Try to add the following to the redirect URIs section:
http://localhost
http://127.0.0.1
Ultimately, what I want to do is have a Python script that runs whenever a HTTP request is created, dynamically. It'd be like: App 1 runs and sends out a webhook, Python script catches the webhook immediately and does whatever it does.
I saw that you could do this in GCP with Composer and Airflow.
But I'm having several issues following these instrutions https://cloud.google.com/composer/docs/how-to/using/triggering-with-gcf:
Running this in Cloud Shell to grant blob signing permissions:
gcloud iam service-accounts add-iam-policy-binding
your-project-id#appspot.gserviceaccount.com
--member=serviceAccount:your-project-id#appspot.gserviceaccount.com
--role=roles/iam.serviceAccountTokenCreator
When I put in my project ID, I get a "Gaia id not found for your-project-id#appspot.gserviceaccount.com"
When I run the airflow_uri = environment_data['config']['airflowUri'] bit, I get a key error on 'config'.
Is there a better way to do what I'm trying to do (i.e. run Python scripts dynamically)?
The reason for getting: Gaia id not found for email <project-id>#appspot.gserviceaccount.com error is not enabling all needed APIs in your project. Please follow the steps:
Create or select Google Cloud Platform Project you wish to work with.
Enable the Cloud Composer, Google Cloud Functions and Cloud Identity and Google Identity and Access Management (IAM) APIs. You can find it in Menu -> Products -> Marketplace and typing the name of corresponding API.
Grant blob signing permissions to the Cloud Functions Service Account. In order for GCF to authenticate to Cloud IAP, the proxy that protects the Airflow webserver, you need to grant the Appspot Service Account GCF the Service Account Token Creator role. Do so by running the following command in your Cloud Shell, substituting the name of your project for <your-project-id>:
gcloud iam service-accounts add-iam-policy-binding \
<your-project-id>#appspot.gserviceaccount.com \
--member=serviceAccount:<your-project-id>#appspot.gserviceaccount.com \
--role=roles/iam.serviceAccountTokenCreator
I tested the scenario, firstly without enabling APIs and I've retrieved the same error as you. After enabling the APIs, error disappear and IAM policy has been updated correctly.
There is already well described Codelabs tutorial, which shows the workflow of triggering the DAG with Google Cloud Functions.
Is that possible to use python-jira using google account to sign in?
Maybe any workaround for that cause people in our company don't have jira accounts they use google
Once JIRA has been configured to use Google Apps as a user directory, you can authenticate using a Google account, but only the Google Apps account not just any Google account. jira-python will authenticate using the same set of users.