Dockerfiler | Declaratively manage images built from a set | Continuous Deployment library

by jbergknoff Python Version: v0.1.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | Dockerfiler Summary

Dockerfiler is a Python library typically used in Devops, Continuous Deployment, Docker applications. Dockerfiler has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Dockerfiler is a tool for declaratively managing images built from a set of Dockerfiles. Basically, it can help you manage a "Dockerfile" repo where you build any tools you want into images that you control. This isn't for managing images built from your own projects, which will typically have their own processes for building and deploying artifacts. Instead, this is for those tools that you use in development or in CI which can benefit from Docker as a distribution mechanism. Docker is an excellent means of distributing those sorts of tools. Dockerfiler helps you maintain a library (public or private) of images that you control.

Support

Quality

Security

License

Reuse

Support

Dockerfiler has a low active ecosystem.

It has 101 star(s) with 3 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 61 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Dockerfiler is v0.1.0

Quality

Dockerfiler has 0 bugs and 0 code smells.

Security

Dockerfiler has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Dockerfiler code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Dockerfiler is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Dockerfiler releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Dockerfiler saves you 284 person hours of effort in developing the same functionality from scratch.

It has 686 lines of code, 39 functions and 6 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed Dockerfiler and discovered the below as its top functions. This is intended to give you an instant insight into Dockerfiler implemented functionality, and help decide if they suit your requirements.

Run Dockerfiler .
Return a Docker registry instance .
Parse image definitions .
Prints docker build instructions .
Print instructions for given tag .
Create repositories if necessary .
List all tags on a repository .
Find image definition for given tag and tag .
Initialize self . tags .
Get the full image reference .

Get all kandi verified functions for this library.

Dockerfiler Key Features

No Key Features are available at this moment for Dockerfiler.

Dockerfiler Examples and Code Snippets

No Code Snippets are available at this moment for Dockerfiler.

Community Discussions

Trending Discussions on Dockerfiler

Not able to access a file created by a docker container from another container?

docker-compose not behaving in compliance with dockerfiles

IBM Cloud Developer Tool: idt build/bx dev build causing error (OCI runtime exec failed ...)

QUESTION

Not able to access a file created by a docker container from another container?

Asked 2019-Sep-20 at 10:00

For the current working scenario I have two containers which need to share data. First container is a flask application which does some work on data and creates log file. While the other container is R shiny app which serves as a status dashboard for the application, and also when needed user can also directly view the log file by providing a key on the dashboard itself. Here my issue is that while accessing log file from shiny dashboard container permission denied error is being thrown. I have mounted same volume on both the containers also tried giving owner permission to shiny app container but still container could not access the file, while I can access the same file on host location. Is there something I am missing which needs authorization of shared volumes among containers or is there is any issue with the shiny app. Please provide possible solutions to it.

Required Files

Docker-compose files. Docker-compose file for application:

...

ANSWER

Answered 2019-Sep-20 at 10:00

The problem is that rocker/shiny uses the shiny as a user (src) while the other application produces logs using root (and they might have special privileges set).

The shiny user has a UID = 999. How to extract it:

Source https://stackoverflow.com/questions/58014116

QUESTION

docker-compose not behaving in compliance with dockerfiles

Asked 2019-Feb-12 at 08:20

I'm a level 0 Docker user, so bear with me on this one:

I'm trying to create a shared container environment with docker-compose. The docker-compose.yaml looks like this:

...

ANSWER

Answered 2019-Feb-11 at 18:18

When you have both image and build in a docker-compose service precedence is given to image. In your scenario your since you have image: rocker/rstudio in your compose file it will pull the rocker/rstudio:latest image from docker-hub. But what do you want is a image build on top of the rocker/rstudio image (In Dockerfile it has been used as the base image).

It is not a good practice to tag your image as with existing tag in docker-hub (You may face difficulties as wrong image is cached in your local docker images as you experienced here). First decide whether you really want to name your image (Otherwise compose will tag the image for you where tag include a part of your service name so you can easily identify). If you want use it as following with a prefix in image tag. Same goes with other two services.

Source https://stackoverflow.com/questions/54634687

QUESTION

IBM Cloud Developer Tool: idt build/bx dev build causing error (OCI runtime exec failed ...)

Asked 2018-Jan-22 at 19:38

I'm getting an error running bx dev build in my Node.js project folder, specifically:

...

ANSWER

Answered 2018-Jan-22 at 19:35

Was there a reason that you were trying to run bx dev build using sudo? Did you run bx dev create under sudo also? This sounds like a permissions issue.

The error message is actually coming from Docker, not internal to the IBM Developer Tools executable: OCI runtime exec failed: exec failed: container_linux.go:295: starting container process caused "process_linux.go:86: executing setns process caused \"exit status 22\"": unknown

Source https://stackoverflow.com/questions/47943255

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Dockerfiler

You can download it from GitHub.
You can use Dockerfiler like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.