Simple software distribution for complex pipelines,
distman is a config-driven deployment tool that performs safe, versioned rollouts
of software, scripts, and configuration files to predefined locations on the
filesystem. It’s ideal for environments where deterministic deployments,
environment-aware transforms, and clean rollback are more important than packaging
or pip installation.
When used alongside envstack, distman can act as a drop-in alternative to virtualenv or Python packaging, enabling you to:
- Install Python tools and libraries via source-controlled builds
- Swap or rollback versions using atomic symlinks
- Configure and isolate runtime environments using .env files
- Avoid the overhead of pip/venv/pyproject setups for internal tools or scripts
The easiest way to install:
$ pip install -U distmandistman looks for a dist file called dist.json at the root of a directory or
git repo. The dist file defines the file distrubution instructions.
The basic format of the dist.json file is:
{
"author": "<email>",
"targets": {
"<target>": {
"source": "<source-path>",
"destination": "<target-path>"
},
}
}where <source-path> is the relative path to the source file, directory or
link, and <target-path> is the target destination path, and <target> is a
named target label to use when running distman commands. You can define as
many targets as you need.
See the dist.json file in this repo for an example.
Target paths can include environment variables, such as those defined in the
distman.env envstack file, where variables in paths are defined with curly
brackets only, e.g.:
"{DEPLOY_ROOT}/lib/python/distman"When files are distributed (or disted), they are copied to a versions folder
and a symlink is created to the version. When a new version is disted, the
version number is incremented and the link is updated.
You can use shell-style wildcards (e.g., *) in the "source" field of a target definition to match multiple files or directories. This is useful when you want to distribute a group of files without listing each one individually.
When using wildcards, you must also use numeric substitution variables (%1, %2, etc.) in the "destination" path. These correspond to the wildcard matches in order of appearance.
"targets": {
"build": {
"source": "build/*.py",
"destination": "{DEPLOY_ROOT}/lib/python/%1"
}
}In this example:
build/*.pyexpands to all.pyfiles in thebuild/folder.- Each matched file is symlinked to
{DEPLOY_ROOT}/lib/python/filename.py.
Wildcards are expanded at runtime using Python's glob and fnmatch mechanisms. Matching results are processed and symlinked individually.
distman supports a customizable pipeline of transforms that operate on each
target before final distribution. These transforms can run:
- Custom Python functions (func)
- Shell commands (script)
Pipeline steps can be defined globally at the top of a dist.json file, or per-target:
"pipeline": {
"formatting": {
"script": ["black --check {input}"]
},
"replace_tokens": {
"func": "distman.transform.replace_tokens",
"options": {
"tokens": { "__VERSION__": "1.2.3" }
}
}
}To dist files defined in a dist.json file (remove -d when ready):
$ dist -dThis will dist files to the ${DEPLOY_ROOT} folder defined in the provided
distman.env envstack file and might
look something like this when disted:
${DEPLOY_ROOT}
├── bin
│ ├── distman -> versions/distman.0.c73fe42
│ └── versions
│ └── distman.0.c73fe42
└── lib
└── python
├── distman -> versions/distman.0.c73fe42
└── versions
└── distman.0.c73fe42
├── cli.py
├── config.py
├── dist.py
├── __init__.py
├── logger.py
├── source.py
└── util.py
To override the deployment folder, update the distman.env environment stack
file then re-dist:
$ dist [-d]By default, distman dists to a prod folder under ${DEPLOY_ROOT}. This can be
changed at any time using ${ENV} or updating or modifying the distman.env
envstack file:
$ ENV=dev dist [-d]This will change prod to dev in the target deplyment path. This is useful
for deploying files or code to different development environments.
When disting files, distman will create hidden dist info files that meta data
about the source files. For example, if the source file is called foobar.py
then the dist info file that will be created will be called .foobar.py.dist.
The dist info files will be created at the deployment root.
In high-latency environments (for example, remote users accessing a shared
deployment root over VPN, SMB, or NFS), loading tools and libraries directly
from ${DEPLOY_ROOT} can introduce noticeable startup delays.
To address this, distman provides an optional local cache mechanism that mirrors the currently active versions of deployed files to a local filesystem location.
To check or update the cache:
$ distman cache [OPTIONS]Most configuration is done in the distman.env
envstack file.
Default config settings are in the config.py module. The following environment variables are supported:
| Variable | Description |
|---|---|
| $DEPLOY_ROOT | file deployment root directory |
| $CACHE_ROOT | local cache root directory |
| $CACHE_TTL | time-to-live (seconds) for cache checks |
| $ENV | target environment (e.g. prod or dev) |
| $IGNORE_MISSING | ignore missing source paths in targets |
| $LOG_DIR | directory to write log files |
| $LOG_LEVEL | logging level to use (DEBUG, INFO, etc) |
| $MAX_VERSIONS | max number of versions when checking for changes |
| $ROOT | dist root directory |