Skip to main content

ibmcloud-iam-python-client

PyPi Downloads License Build Status

This project is a collection of Python modules used for interacting with IBMCloud IAM API services.

Currently it includes support for:

  • Requesting IAM tokens using an intelligent caching mechanism (TokenManager)
  • Parsing IAM tokens and verifying their cryptographic signatures
  • Checking user action authorizations for a service, given a Subject, Action and Resource set (PDPClient)

It is meant to be a lightweight client library that can be used in other projects, such as a service or other client.

Some things that will be added soon in the future:

  • Caching authorization decisions from PDP
  • Support for list a users Roles assigned from IAM policies

Usage

Install

pip install ibmcloud_iam

Getting tokens with TokenManager

import os

from ibmcloud_iam.token import TokenManager

tm = TokenManager(api_key=os.environ["IBMCLOUD_API_KEY"])

# whenever you need a token, just use 'tm.get_token()'
# get_token() will return a cached token if the token is not expired,
# or if expired or otherwise invalid, retrieve a new token for you

# gets a new token
print(tm.get_token())

# will return the same token as above, because of caching
print(tm.get_token())

Parsing and Validating Tokens

import os

import ibmcloud_iam.token
from ibmcloud_iam.token import TokenManager

tm = TokenManager(api_key=os.environ["IBMCLOUD_API_KEY"])

# validate_token will check the signature and parse and return the token claims
claims = ibmcloud_iam.token.validate_token(tm.get_token())

print(claims)

PDP Authorizations

Please see example.py for an example on how to use the PDPClient

Contributing

Feedback is appreciated in the form of bug reports, enhancement suggestions, testing, or pull requests/patches.

Pull requests and patches will be subject to review and will have to meet the standards of the project to be merged. We are willing to help with fixing issues and polishing if you are willing to be patient and understanding.

For bug reports, feature requests, or other support, please open a Github Issue in this repo.

If you are an IBMer and have access to the IBM Slack group, feel free to direct message me with questions at @mrodden.

Metadata

Release files for ibmcloud-iam 0.1.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ibmcloud-iam 0.1.7
File Size Uploaded
ibmcloud-iam-0.1.7.tar.gz 8.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ibmcloud-iam 0.1.7
File Interpreter ABI Platform
ibmcloud_iam-0.1.7-py3-none-any.whl Python 3 none any Details

Total release size: 18.7 kB

Release files / ibmcloud-iam-0.1.7.tar.gz

Download URL ibmcloud-iam-0.1.7.tar.gz
Size 8.4 kB
Tags Source
SHA-256 checksum
How to use checksums
8af82811e5d70cbd4b8745e7862d9fb68fb3dce3a0ed957be97cc3ea1272d961
BLAKE2b-256 checksum
How to use checksums
156935672b32d339e13a19c985790b2329168f862b4e7d8ec63809333870877d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/4.2.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.9

Release files / ibmcloud_iam-0.1.7-py3-none-any.whl

Download URL ibmcloud_iam-0.1.7-py3-none-any.whl
Size 10.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
8b62aac1cc4a6cac0be1a20b2918cc48e4fffff5b5b0d5c07e71d31b8eeae75b
BLAKE2b-256 checksum
How to use checksums
e9593a3863d9839a032e0c718a4b7d7dfbaa38bb4bf89abbb3d0fd99506e7252
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/4.2.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.6.9

Release history Release notifications | RSS feed

This release

0.1.7 This release

2 release files

0.1.6

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page