Magen ID Service

Magen ID Service is a microservice responsible for authentication and authorization for users to access resources. It exposes REST API for managing client, user, group and token authorization.

Supported key formats: JSON, JWT

Current version: 1.0a2

Git clone

All of Magen services depend on an operations git submodule magen_helper. When cloning this repo, make sure to provide --recursive flag or after the clone execute a command to update magen-helpers git submodule:

git submodule update --init --recursive

For This Service there are available make commands. Makefile is located under id/

Make Default Target: make default. Here is the list of targets available for ID service

default:
        @echo 'Makefile for Magen ID Service'
        @echo
        @echo 'Usage:'
        @echo ' make clean              :Remove packages from system and pyc files'
        @echo ' make test               :Run the test suite'
        @echo ' make package            :Create Python wheel package'
        @echo ' make install            :Install Python wheel package'
        @echo ' make all                :clean->package->install'
        @echo ' make list               :List of All Magen Dependencies'
        @echo ' make build_docker       :Pull Base Docker Image and Current Image'
        @echo ' make run_docker         :Build and Run required Docker containers with mounted source'
        @echo ' make runpkg_docker      :Build and Run required Docker containers with created wheel'
        @echo ' make test_docker        :Build, Start and Run tests inside main Docker container interactively'
        @echo ' make stop_docker        :Stop and Remove All running Docker containers'
        @echo ' make clean_docker       :Remove Docker unused images'
        @echo ' make rm_docker          :Remove All Docker images if no containers running'
        @echo ' make doc                :Generate Sphinx API docs'
        @echo
        @echo

Requirements: MacOS X

0. python3 -V: Python 3.5.2 (>=3.4)
1. pip3 -V: pip 9.0.1
2. make -v: GNU Make 3.81
3. docker -v: Docker version 17.03.0-ce, build 60ccb22
4. docker-compose -v: docker-compose version 1.11.2, build dfed245
5. Make sure you have correct rights to clone Cisco-Magen github organization

Requirements: AWS EC2 Ubuntu

0. python3 -V: Python 3.5.2
1. pip3 -V: pip 9.0.1
2. make -v: GNU Make 4.1
3. docker -v: Docker version 17.03.0-ce, build 60ccb22
4. docker-compose -v: docker-compose version 1.11.2, build dfed245
5. Make sure AWS user and root have correct rights to Cisco-Magen github organization

Targets

1. make all -> Install Magen-Core dependencies, clean, package and install ks package
2. make test -> run id tests

Adopt this Infrastructure

1. get helper_scripts to the repo
2. follow the structure in docker_ks to create docker-compose.yml and Dockerfile files
3. use Makefile as an example for building make automation

Sphinx Documentation SetUp

There is a configured Sphinx API docs for the service. To compile docs execute:

make html in docs directory

or run:

make doc in the ingestion directory

#ID SERVICE

• id/id_service/data/bootstrap.json contains the initial data that you need to run id service.
• id/id_service/magenid/idsapp/settings.py contains the Issuer url, etc.

##To Run The ID Serivce

1. Open the bootstrap.json file with your preferred text editor

2. Add/Remove the User and Group info

3. Add/Remove items in the connected_apps. A sample connected app has been added. It can be used for running your "id_client_sample". If you change the host/port of the "id_client_sample" then you need to update the url under "redirect_uris". Also, make sure the "id_client_sample" uses the same "client_id", "client_secret".

4. Open a Terminal. Navigate to the "id" directory, and run the following command:

$ make run_docker

#ID CLIENT SAMPLE

• id_client_sample/settings.py file contains the id service host url, callbak url, username, etc. Make sure you edit this before your start the client app.

To Run The ID CLIENT SAMPLE

4. Open a Terminal. Navigate to the "id/id_client_sample_docker" directory, and run the following command:

$ docker-compose up