Samba Container Configurator
Project description
sambacc - A Samba Container Configuration Tool
About
The sambacc project aims to consolidate and coordinate configuration of Samba, and related components, when running in a container. The configuration of one or many server instances can be managed by the tool with the use of configuration files. These configuration files act as a superset of the well-known smb.conf, to configure Samba, as well as other low level details of the container environment.
Rationale
Samba is a powerful and unique tool for implementing the SMB protocol and a software stack to support it on unix-like systems. However, it's potentially challenging to set up and manage many instances of Samba by-hand, especially when running under a container orchestration system.
The idea behind sambacc is to automate much of the low level steps needed to set up samba daemons, users, groups, and other supporting components. The tool is also designed to consume configuration files that can be used across many container instances. sambacc is written in Python as samba provides Python bindings for some of the aspects of samba we need to control.
The sambacc library and samba-container CLI command are used by the samba-container project as part of the server container images.
Usage
File Server
The samba-container
command is used to manage features related to
the Samba file server and closely related components.
Without any additional arguments samba-container
prints the synthesised
samba (smb.conf) configuration based on the environment variables:
SAMBACC_CONFIG
- configuration file(s)SAMBA_CONTAINER_ID
- Identity of this instance
Additionally, there are many other subcommands the tool supports. These include:
samba-container import
- Import smb.conf-style settings into registrysamba-container import-users
- Import users into /etc files and smb passdbsamba-container init
- Initialize the container environment for use by samba servicessamba-container run <service>
- Initialize and run a named samba service
For a complete description of the subcommands supported, run:
samba-container --help
Active Directory Domain Controller
The samba-dc-container
command is used to manage features related to
the Samba AD DC server and related components.
Currently, samba-dc-container
supports one subcommand. The run
subcommand
is used to start an AD DC server. This command supports various setup steps
including steps to join an existing domain, provision a new domain,
populate a domain with stock users/groups, etc.
For a complete description of the subcommands supported, run:
samba-dc-container --help
Features
- Abstracts away some of the nitty-gritty details about what Samba expects in its environment
- Imports specific smb.conf settings from "site wide" configuration files.
- Imports users and groups
- Starts smbd with container friendly settings
- Starts winbindd with container friendly settings
- Support for joining AD
- Support for managing CTDB clustering
- Support for creating/joining Samba Active Directory servers
Major TODOs
A lot. Various things that are missing include:
- Features to perform more secure (password-less) domain joins
- Better integration (as opposed to unit) testing
- Better use of APIs versus executing CLI commands
Contributions and feedback would be very much appreciated.
Install
The sambacc library, samba-container command, and samba-dc-container are written assuming the software is being run within an OCI container environment. While there's nothing stopping you from trying to install it on something else the value of doing that will be rather limited.
The samba-container project includes sambacc and samba packages. If you are looking to use sambacc and not contribute to it, that's probably what you want.
Builds of sambacc are continuously produced within our COPR repository. These builds are then consumed by the container image builds.
Otherwise, the only method of install is from source control.
- Clone the repo:
git clone https://github.com/samba-in-kubernetes/sambacc
cd sambacc
- Install locally:
python -m pip install --user .
The test & build container may also be used to build source tarballs and wheels. Then you can distribute and install from the wheel if you need to.
Testing
Local testing
To run the entire unit test suite locally install tox
and run tox
in
the repo root.
Because of the library and tooling that interacts with samba has some system level dependencies, not all tests can be run locally in isolated (virtualenv) environments.
Containerized testing
A more robust and isolated testing environment is provided in the form of the sambacc container image.
The container file and other sources are available at ./tests/container in the sambacc repo. This is the canonical way to run the test suite and is what is used by the CI tests. When run this way certain system packages can be installed, etc. to support running a wider range of test cases.
By default the container image is configured to check out sambacc master
branch and execute the tests and build python source distributions,
wheels, and RPM packages. You can test your local git checkout using the
image by mounting it at /var/tmp/build/sambacc (example: podman run -v $PWD:/var/tmp/build/sambacc sambacc:ci
).
To access the packages that are built using the container, mount a
directory into the container at "/srv/dist" and set the environment
variable SAMBACC_DISTNAME
to a term of your choice (example: "latest").
This will then save the builds in a directory of that name in your output
directory.
Example:
$ mkdir -p $HOME/tmp/sambacc
$ podman run --rm \
-v $HOME/tmp/sambacc:/srv/dist -e SAMBACC_DISTNAME=latest \
quay.io/samba.org/sambacc:latest
$ ls $HOME/tmp/sambacc
latest
$ ls $HOME/tmp/sambacc/latest
sambacc-0.1.dev225+g10059ff-py3-none-any.whl sha512sums
sambacc-0.1.dev225+g10059ff.tar.gz
You can combine the source directory mount and distribution directory mount in one command to produce builds for your own local development work if needed.
License
GPLv3 as per the COPYING file.
This is the same license as used by Samba.
Contributing/Contact
Patches, issues, comments, and questions are welcome.
Resources:
Project details
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