IMPORTANT
AS OF JANUARY 01 (2017-01-01) THIS PROJECT IS NO LONGER MAINTAINED BY GROKZEN OR WILL RECIEVE ANY UPDATES.
ALL NEW ISSUES OR PR:S WILL NOT BE RESPONDED TO OR DEALT WITH. SOURCE WILL REMAIN AVAILABLE.
Extend your dockerfiles with Jinja2 syntax and logic.
Create new filter and functions for Jinja with simple datasource files.
Install from pypi with pip install docker-jinja
To install in development mode, first navigate to root of project and then run pip install -r dev-requirements.txt; pip install -e .
. It is recommended to install inside a virtualenv to avoid conflicts with dependencies.
Create a Dockerfile.jinja that contains all regular Dockerfile build steps and the jinja syntax. For exapmle:
$ cat Dockerfile.jinja
FROM {{ OS }}
MAINTAINER {{ MAINTAINER }}
ARG {{ ARG1 }}
Run dj
command. For example:
dj --dockerfile Dockerfile.jinja --outfile Dockerfile --env OS=ubuntu:12.04 --env MAINTAINER=Grokzen --env ARG1=foobar --config test-config.json
And you will get the output:
FROM ubuntu:12.04
MAINTAINER Grokzen
ARG foobar
It is possible to create predefined configuration files with settings, enviroment variables and datasources.
dj
tries to load the following configuration files in the following order:
- /etc/dj.yaml
- /etc/dj.json
- ~/.dj.yaml
- ~/.dj.json
- $CWD + '.dj.yaml'
- $CWD + '.dj.json'
YAML is the file format to prefer but json is also supported.
Currently it is not possible to automatically load a config file next to the source Dockerfile.
If you want to extend the Jinja syntax with additional filters and global functions you have the datasource pattern to help you.
A datasource file is a python script that can contain any code you want so you can extend dj
to be capable to perform any task you want.
You can tell dj
to load a datasource file in multiple ways.
- In any config file create a key
datasources
with a list of strings paths pointing to all files thatdj
should import. (Must be absolute path) - Point to a file with cli key -s/--datasource and
dj
will load that file. (Relative paths is supported) - Add a python file to contrib folder and it will auto load during execution.
Global functions ################
A global function is a regular python function that you can call from jinja. These functions can be used to perform any usefull task you require.
To create a global function you define a method within a datasource and its name should starts with _global_
and then follow by the name you want to use in your Dockerfile.
For example if you have the following code:
def _global_foo():
return "bar"
You can call it from jinja with:
RUN echo '{{ foo() }}'
and it will render into
RUN echo 'bar'
Filter functions ################
To create a new filter function you define a method within a datasource and its name should starts with _filter_
and then follow by the name you want to use in your Dockerfile.
For example if you have the following code
def _filter_bar(arg):
return arg.upper()
You can call it from jinja with:
RUN echo '{{ "opa"|bar }}'
and it will render into
RUN echo 'OPA'
Currently only Jinja2 is supported as rendering engine
- 2.7
- 3.3
- 3.4
- 3.7
Python 3.2 will not be supported because Jinja2 is only supported on python >= 3.3 (Reference: http://jinja.pocoo.org/docs/intro/). If other rendering engines would be supported then python 3.2 can be supported for those engines.
Open an Issue on github describing the problem you have.
If you have a fix for the problem or want to add something to contrib library, open a PR with your fix. The PR must contain some test to verify that it work if it is a bugfix or new feature. All tests in all supported python environments must pass on TravisCI before a PR will be accepted.
All PR:s should have their commits squashed to a single commit.
See LICENSE file. (MIT)
Version 1.0.1 2020/04/04
- Updated to allow for more recent package versions, and to reflect support of 3.7.
The above should not be taken as any kind of commitment to support; this was a one-time need-fulfillment change.