A command line client to Midpoint Identity Management system.
Project description
Midpoint CLI
This project is a command line client interface used to drive an Evolveum Midpoint identity management server.
The objectives of this tool are to enable:
- Administrator access to run tasks and review data
- Scripting for remote controlled automation
- Test scenarios implementation
The client currently supports:
- Users and Organizational units display
- User search
- Running tasks synchronously
- Retrieving object definitions of any kind
- Uploading objects from local files and applying patches
Features currently under development:
- Auto-completion to search of IDs or task names
- Improved task results display: retrieve and display a human readable status output
- Any other tasks that would be submitted in the issue tracker of this project on Gitlab
The strong points of this project are:
- All commands can be run directly or using an interactive prompt session
- Colorful output
- A user-friendly bash compatible command line history management
- Full interactive help system
- A classical midpoint-cli [command] [command options] syntax
Usage
General syntax
usage: midpoint-cli [-h] [-v] [-u USERNAME] [-p PASSWORD] [-U URL]
[command] [arg [arg ...]]
An interactive Midpoint command line client.
positional arguments:
command Optional command to be executed immediately.
arg Optional command arguments.
optional arguments:
-h, --help show this help message and exit
-v, --version Set the username to authenticate this session.
-u USERNAME, --username USERNAME
Set the username to authenticate this session.
-p PASSWORD, --password PASSWORD
Set the password to authenticate this session.
-U URL, --url URL Midpoint base URL
Available commands:
get Get an XML definition from the server from an existing OID reference.
put Create/Update a server object based on an XML structure.
delete Delete a server object based on its type and OID.
task Manage server tasks.
resource Manage resources on the server.
org Manage organizations.
user Manage users.
Midpoint-cli version 0.7.0, created and maintained by Yannick Kirschhoffer alcibiade@alcibiade.org
Exernal configuration files (since v1.2)
Settings can be provided from an external configuration file. It can be either:
- .midpoint-cli.cfg in the home directory of the current user
- midpoint-cli.cfg in the current working directory
The syntax is as follows:
[Midpoint]
url = https://localhost:8080/midpoint/
username = administrator
password = ...
Environment variables (since v1.2)
The script will scan environment variables to read input parameters. This is particularily useful for injection of password or in-container execution.
The variables are:
- MIDPOINT_URL
- MIDPOINT_USERNAME
- MIDPOINT_PASSWORD
Requirements
This program is compatible with Python version 3.7 or above.
Installation
Through PyPI
The most common way to install midpoint-cli on your own computer is to use the PyPI repository:
yk@lunar:~$ pip3 install midpoint-cli
Collecting midpoint-cli
Downloading https://files.pythonhosted.org/packages/91/03/eaebde078e3560dfa919924d0a7c395f07a2e3fc9740223ea53db3afad05/midpoint-cli-0.7.0.tar.gz
[...]
Successfully built midpoint-cli clint tabulate args
Installing collected packages: args, clint, idna, urllib3, chardet, certifi, requests, tabulate, midpoint-cli
Successfully installed args-0.1.0 certifi-2019.9.11 chardet-3.0.4 clint-0.5.1 idna-2.8 midpoint-cli-0.7.0 requests-2.22.0 tabulate-0.8.5 urllib3-1.25.6
Development build
Dependency management, build and test is managed using Python Poetry.
To install Poetry, please refer to the official Python Poetry website.
To install the current development version from GIT:
yk@lunar:~/dev$ git clone https://gitlab.com/alcibiade/midpoint-cli.git
Cloning into 'midpoint-cli'...
remote: Enumerating objects: 374, done.
remote: Counting objects: 100% (374/374), done.
remote: Compressing objects: 100% (176/176), done.
remote: Total 374 (delta 229), reused 299 (delta 175)
Receiving objects: 100% (374/374), 62.84 KiB | 0 bytes/s, done.
Resolving deltas: 100% (229/229), done.
yk@lunar:~/dev$ poetry install
Creating virtualenv midpoint-cli-54EjqR0S-py3.12 in /home/yk/.cache/pypoetry/virtualenvs
Updating dependencies
Resolving dependencies... (5.1s)
Package operations: 13 installs, 0 updates, 0 removals
- Installing args (0.1.0)
- Installing certifi (2024.8.30)
- Installing charset-normalizer (3.3.2)
- Installing idna (3.10)
- Installing iniconfig (2.0.0)
- Installing packaging (24.1)
- Installing pluggy (1.5.0)
- Installing urllib3 (2.2.3)
- Installing clint (0.5.1)
- Installing pytest (8.3.3)
- Installing requests (2.32.3)
- Installing tabulate (0.9.0)
- Installing unidecode (1.3.8)
Writing lock file
Installing the current project: midpoint-cli (1.4.0.dev2)
yk@lunar:~/dev$ poetry run midpoint-cli --version
Midpoint CLI Version 1.4.0.dev2
Anaconda
Anaconda packages are not available yet.
Setting up a sanbox environment
If you wish to test this project locally and don’t have a midpoint server available, you can use the following instructions.
Using the Evolveum managed Docker image
Pull the image locally:
yk@lunar:~$ docker pull evolveum/midpoint
Using default tag: latest
latest: Pulling from evolveum/midpoint
[...]
Digest: sha256:1e29b7e891d17bf7b1cf1853c84609e414c3a71d5c420aa38927200b2bdecc8e
Status: Downloaded newer image for evolveum/midpoint:latest
docker.io/evolveum/midpoint:latest
Then run the server and bind the port 8080:
yk@lunar:~$ docker run -d --name midpoint-1 -p8080:8080 evolveum/midpoint
c048d519395ca48c8e94e361a2239b1c35c5e5305a29600895056e030d6a576f
yk@lunar:~$ midpoint-cli
Welcome to Midpoint client ! Type ? for a list of commands
midpoint> users
OID Name Title FullName Status EmpNo Email OU
------------------------------------ ------------- ------- ---------------------- -------- ------- ------- ----
00000000-0000-0000-0000-000000000002 administrator midPoint Administrator enabled
midpoint>
yk@lunar:~$ docker stop midpoint-1
midpoint-1
Deployment of a new version
- Update revision in src/midpoint_cli/init.py
- Commit and tag with corresponding version number
- Generate markdown documentation: downdoc README.adoc
- Build distribution: poetry build
- Upload distribution to PyPI: poetry publish
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