docker-dsl
An imperative, context-manager-based Python DSL for authoring multi-stage
Dockerfiles. Write builds with with blocks, conditionals, comprehensions, and
reusable helpers, then render one recipe into many Dockerfile variants.
Install
Run it through uvx, no install needed:
uvx docker-dsl --help
Quickstart
Write a recipe module, minimal.py:
from docker_dsl import Stage
from docker_dsl import context as ctx
ctx.register("tag", str)
with Stage("ubuntu:24.04") as s:
s.arg("APP_TAG", ctx.tag or "latest", env=True)
s.workdir("/app")
with s.run() as r:
r.echo("hello from docker-dsl") > "/app/greeting.txt"
s.cmd("cat", "/app/greeting.txt")
Render it:
uvx docker-dsl minimal --tag=v1.0.0 --out Dockerfile
Dockerfile now holds:
# syntax=docker/dockerfile:1
FROM ubuntu:24.04 AS base
ARG APP_TAG=v1.0.0
ENV APP_TAG=${APP_TAG}
WORKDIR /app
RUN echo "hello from docker-dsl" > /app/greeting.txt
CMD ["cat", "/app/greeting.txt"]
Change --tag and render again for a different Dockerfile from the same recipe.
Why
RUNchains glued with&&are fragile. The run builder accumulates commands in Python and emits one correctRUN, withcdscoping restored for you.- Variants drift apart. One recipe takes
--gpu=true|falseand renders both a GPU and a CPU image from the same code path, instead of two Dockerfiles that diverge over time. - BuildKit mounts are easy to get wrong.
cache,secret, andbindare scoped context managers, so everyRUNinside the block picks them up and nothing leaks out.
Docs
The documentation has a tutorial, task-focused guides (multi-stage builds, mounts, smart apt, the run builder, reusable helpers, and the CLI), and the full API reference.
License
This project is licensed under the MIT License; see LICENSE.
1 maintainer
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