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توضیحات

Build Docker images for the real world using ansible playbooks

ویژگی	مقدار
سیستم عامل	-
نام فایل	dockalot-0.7.1
نام	dockalot
نسخه کتابخانه	0.7.1
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Mark Aikens
ایمیل نویسنده	markadev@primeletters.net
آدرس صفحه اصلی	https://github.com/markadev/dockalot
آدرس اینترنتی	https://pypi.org/project/dockalot/
مجوز	MIT

======== dockalot ======== *Building Docker images for the real world* |build-status| |docs| Introduction ============ ``dockalot`` is a tool to build Docker images using Ansible playbooks for application and configuration installation. It addresses several shortcomings with the default Docker toolkit to make building non-trivial images easier. Using a Dockerfile is fine if you are repackaging an open source or other publicly available package. But if you aren't, you might have one or more of these problems: * Building your image requires credentials to a private source code or package repository * Building your image requires a custom package installation procedure more complicated than ``apt-get install`` Because of the way ``docker build`` works by building your image in layers on top of layers, you may find that your super-secret private repository credentials gets trapped in one of those layers. Go ahead, export an image using ``docker save`` and poke around the layers of an image you've already built. Is that *your* access token in there? Well, it's everyone's access token now... Temporary files part of any non-trivial package installation also get trapped in those middle layers causing your final Docker image to be much larger than they need to be. Workarounds for this problem include ``&&``-itis; joining dozens of shell commands together with ``&&`` in an attempt to keep them all on the same layer. When you do this you lose the ability to add comments in-line and your Dockerfile becomes a mess. It doesn't have to be this way. ``dockalot`` solves these problems by executing all of the installation commands in one Docker layer. There are no hidden layers for credentials or temporary files to hide in. You can focus on just installing software into your Docker image using high-level Ansible modules and let the tools handle the low-level details. Features ======== - Build smaller images without having to think about Docker layers. - Pass your API keys into the build process and don't worry about them getting stuck in any hidden Docker layers. - Take advantage of purpose-built `Ansible modules <http://docs.ansible.com/ansible/list_of_files_modules.html>`_. Never run ``sed`` again! - Use variables and templates in Ansible instead of clunky environment variables. - Support for most of the important Dockerfile commands. Goal is to have feature-parity with Dockerfiles. Installation ============ Requirements: * Python 2.7 * Docker >= 1.12 Install ``dockalot`` using *pip*:: ubuntu@ubuntu-vm:~$ sudo pip install dockalot Or, to install without root access you can use a `virtual environment <https://pypi.python.org/pypi/virtualenv>`_:: ubuntu@ubuntu-vm:~$ mkvirtualenv dockalot ubuntu@ubuntu-vm:~$ . dockalot/bin/activate (dockalot) ubuntu@ubuntu-vm:~$ pip install dockalot Example Usage ============= A simple configuration file (``example1.yml``) to build an image looks like this:: --- docker: base_image: "python:2.7" entrypoint: [ "/entrypoint.py" ] tags: - myapp --- - name: Provision the container hosts: all tasks: - name: Install the thing copy: dest: /entrypoint.py content: | #!/usr/bin/env python print("I'm a Python script") print("Wheeeeee!!!!") mode: 0755 Build the image:: ubuntu@ubuntu-vm:~$ dockalot example1.yml INFO:Creating the container to provision ... INFO:Committing the image INFO:Created sha256:662a2be8c1215de09fc410f2c5c7fb2e8b6ed00b125c4cd27fe8a28972f8542c INFO:Tagging image myapp:latest ubuntu@ubuntu-vm:~$ Then run your shiny new image:: ubuntu@ubuntu-vm:~$ docker run myapp I'm a Python script Wheeeeee!!!! ubuntu@ubuntu-vm:~$ Also take a look at some more `complex examples <https://github.com/markadev/dockalot/tree/master/examples>`_. License ======= The project is licensed under the MIT license. .. |docs| image:: https://readthedocs.org/projects/dockalot/badge/?version=latest :alt: Documentation Status :scale: 100% :target: https://dockalot.readthedocs.io/en/latest/?badge=latest .. |build-status| image:: https://travis-ci.org/markadev/dockalot.svg?branch=master :alt: build status :target: https://travis-ci.org/markadev/dockalot

نحوه نصب

نصب پکیج whl dockalot-0.7.1:

pip install dockalot-0.7.1.whl

نصب پکیج tar.gz dockalot-0.7.1:

pip install dockalot-0.7.1.tar.gz