I want to first source the admin rc file and then need to automate the tenant create using python(openstack) amd new to this..please help me out
Using REST APIs:
Step-1: Generate the token for authentication using the admin rc file details.
Use the keystone API for generating the auth token - https://developer.openstack.org/api-ref/identity/v3/?expanded=create-project-detail#authentication-and-token-management
Step-2: Access the "create project" (keystone v3) API to create the project (before we call it as tenant which uses keystone v2 version).
https://developer.openstack.org/api-ref/identity/v3/?expanded=create-project-detail#create-project
Related
How can I go about creating an https form and getting input from there into dataverse without having an app created on Microsoft.
you will have to create application user in Azure to use dataverse API
Step by step to connect to D365 with a client_secret to use APIs
This is one example of how to consue dataverse API using Application user in python
There are numerous other example of consuming dataverse API, bascially you will need to authicate and get Token and then accees API
I have been using aws as cloud service and terraform as IaC. It's very annoying to copy paste the credentials frequently. Is there any solution available for that or any work around other to use aws sso?
Premise
It was my understanding that there is a current issue between AWS SSO (authentication v2) and terraform; that only V1 authentication (access key and secret key) is reliably accepted.
For example, this open PR or this issue or this ongoing referenced merge
Work Around
There are a couple of projects that circumvent this issue by generating V1 creds from AWS SSO.
The one I use is a PyPi library called yawsso.
Try this:
pip3 install yawsso
yawsso login # this will authenticate - you no longer need to run 'aws sso login'
Note
Just make sure you use the right profile with export AWS_PROFILE=foo where "foo" would be in ~/.aws/config as [profile foo]
Bonus
yawsso will log you in on all profiles listed in the AWS config file, so you don't need to log in one-by-one into all profiles required at work
I'm migrating from Apigee to WSO2 and would like to know if it's possible to migrate Apigee's "Developer Apps" to WSO2 such that I can re-use the same consumer_key and consumer_secret.
I found WSO2's Store APIs, and I'm able to programatically
Create the WSO2 App,
Subscribe the WSO2 App to my published APIs.
From Apigee, I can also retrieve the old consumer_key & consumer_secret,
so I just need a way to overwrite the key & secret in WSO2.
I found a simple solution.
After creating the App via the Store APIs, I located the respective credentials in the DB tables. Then I updated 3 table rows and I was able to reuse the same credentials for Apigee and WSO2.
I am trying to connect to google analytic s API through a script running on R studio server.
I have followed steps from this tutorial:
http://www.r-bloggers.com/how-to-extract-google-analytics-data-in-r-using-rgoogleanalytics/
If I run this on localhost, it works alright but when I try to run the script on a remote server through R studio,
authroization step does not complete because it tries to connect to the url on localhost i.e
localhost:1410/
instead of REMOTESERVERHOSTNAME:1410
I found this post which suggests port forwarding if running through R studio : link
but if tomorrow, if I want to access it on the other host computer, I would not want to set port forwarding first.
How to run this script without having to set port forwarding?What are other ways for oauth authentication for my R script?
One suggestion would be to use a Google Service Account. The googleAuthR package by Mark Edmondson, available through CRAN, provides functionality to perform server-side authentication in R using a Google Service Account. Another package by the same author called googleAnalyticsR, also on CRAN, integrates with googleAuthR and uses the resulting authentication token to execute queries against the Google Analytics Reporting APIs, including the latest version, 4.0.
To achieve this:
Create a service account for your Google API project.
Download the JSON file containing the private key of the service account.
Grant the service account access to Google Analytics, in the same way as you would for any other user.
Supply the location of the private key JSON file as an argument when authenticating with googleAuthR (see the example below.):
The following example R script references the JSON file containing the private key and performs a basic Google Analytics reporting query. Remember to set the json_file argument to the appropriate file path and the id argument to the appropriate Google Analytics view:
library(googleAuthR)
library(googleAnalyticsR)
gar_auth_service(
json_file = "API Project-xxxxxxxxxxxx.json",
scope = "https://www.googleapis.com/auth/analytics"
)
google_analytics(id = "123456789", start = "2016-06-01", end = "2016-06-28")
I have signed up for the trial version of oracle cloud data base.
Where can I find the host URL that I need to use in my Java dynamic web project of eclipse?
Thanks in advance.
Basic knowledge about the trial request and details needed :
After you request a trial service from Oracle Cloud, you'll be provided with a few details: Identity Domain, Temporary password, and your username.
By using them you'll login to your trial cloud account from here:
[https://cloud.oracle.com/sign_in][1]
Accessing the service from Eclipse
When it comes to access your Database Cloud Service from Eclipse:
You need to add the Oracle Cloud plugin from the Eclipse Market (Help Menu->Eclipse Marketplace)
You'll add the Oracle Cloud connection window to the interface (Window Menu->Show View->Other)
Create a new connection where you follow the steps with the proper details you have about your account.