sag-py-auth-brand 1.2.5

Keycloak brand/instance authentication for python projects

sag_py_auth_brand

This provides a way to secure your fastapi with keycloak jwt bearer authentication. This library bases on sag_py_auth and adds support for instances/brands.

What it does

• Secure your api endpoints
• Verifies auth tokens: signature, expiration, issuer, audience
• Verifies the brand/customer over a token role
• Verifies the instance over a token role
• Verifies the stage over a realm role
• Allows to set additional permissions by specifying further token roles
• Supplies brand information from context

How to use

Installation

pip install sag-py-auth-brand

Secure your apis

First create the fast api dependency with the auth config:

from sag_py_auth import TokenRole
from sag_py_auth_brand.models import AuthConfig
from sag_py_auth_brand.brand_jwt_auth import BrandJwtAuth
from fastapi import Depends

auth_config = BrandAuthConfig("https://authserver.com/auth/realms/projectName", "myaudience", "myinstance", "mystage")
required_roles = [TokenRole("clientname", "adminrole")]
requires_admin = Depends(BrandJwtAuth(auth_config, required_endpoint_roles))

Afterwards you can use it in your route like that:

@app.post("/posts", dependencies=[requires_admin], tags=["posts"])
async def add_post(post: PostSchema) -> dict:

Or if you use sub routes, auth can also be enforced for the entire route like that:

router = APIRouter()
router.include_router(sub_router, tags=["my_api_tag"], prefix="/subroute",dependencies=[requires_admin])

Get brand information

See sag_py_auth to find out how to access the token and user info.

Furthermore you can get the brand by accessing it over the context:

from sag_py_auth_brand.request_brand_context import get_request_brand as get_brand_from_context
brand = get_brand_from_context()

This works in async calls but not in sub threads (without additional changes).

See:

• https://docs.python.org/3/library/contextvars.html
• https://kobybass.medium.com/python-contextvars-and-multithreading-faa33dbe953d

Log the brand

It is possible to log the brand by adding a filter.

import logging
from sag_py_auth_brand.request_brand_logging_filter import RequestBrandLoggingFilter

console_handler = logging.StreamHandler(sys.stdout)
console_handler.addFilter(RequestBrandLoggingFilter())

The filter provides the field request_brand with the brand.

How a token has to look like

{

    "iss": "https://authserver.com/auth/realms/projectName",
    "aud": ["audienceOne", "audienceTwo"],
    "typ": "Bearer",
    "azp": "public-project-swagger",
    "preferred_username": "preferredUsernameValue",
    .....
    "realm_access": {
        "roles": ["myStage"]
    },
    "resource_access": {
        "role-instance": {
            "roles": ["myInstance"]
        },
        "role-brand": {
            "roles": ["myBrand"]
        },
        "role-endpoint": {
            "roles": ["permissionOne", "permissionTwo"]
        }
    }
}

• role-endpoint is just required for permission checks of the api endpoint

How to start developing

With vscode

Just install vscode with dev containers extension. All required extensions and configurations are prepared automatically.

With pycharm

• Install latest pycharm
• Install pycharm plugin BlackConnect
• Install pycharm plugin Mypy
• Configure the python interpreter/venv
• pip install requirements-dev.txt
• pip install black[d]
• Ctl+Alt+S => Check Tools => BlackConnect => Trigger when saving changed files
• Ctl+Alt+S => Check Tools => BlackConnect => Trigger on code reformat
• Ctl+Alt+S => Click Tools => BlackConnect => "Load from pyproject.yaml" (ensure line length is 120)
• Ctl+Alt+S => Click Tools => BlackConnect => Configure path to the blackd.exe at the "local instance" config (e.g. C:\Python310\Scripts\blackd.exe)
• Ctl+Alt+S => Click Tools => Actions on save => Reformat code
• Restart pycharm

How to publish

• Update the version in setup.py and commit your change
• Create a tag with the same version number
• Let github do the rest

How to test

To avoid publishing to pypi unnecessarily you can do as follows

• Tag your branch however you like
• Use the chosen tag in the requirements.txt-file of the project you want to test this library in, eg. sag_py_auth_brand==<your tag>
• Rebuild/redeploy your project