flask-on-docker | Flask + Docker | Continuous Deployment library

by testdrivenio Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | flask-on-docker Summary

flask-on-docker is a Python library typically used in Devops, Continuous Deployment, Nginx, Docker applications. flask-on-docker has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However flask-on-docker build file is not available. You can download it from GitHub.

Flask + Docker

Support

Quality

Security

License

Reuse

Support

flask-on-docker has a low active ecosystem.

It has 278 star(s) with 141 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 5 have been closed. On average issues are closed in 83 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of flask-on-docker is current.

Quality

flask-on-docker has 0 bugs and 0 code smells.

Security

flask-on-docker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

flask-on-docker code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

flask-on-docker 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

flask-on-docker releases are not available. You will need to build from source code and install.

flask-on-docker has no build file. You will be need to create the build yourself to build the component from source.

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

flask-on-docker saves you 23 person hours of effort in developing the same functionality from scratch.

It has 63 lines of code, 7 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Render a file .
Create database .
Seed the database .
Send hello message .
Send static files .
Send media files .
Set email address .

Get all kandi verified functions for this library.

flask-on-docker Key Features

No Key Features are available at this moment for flask-on-docker.

flask-on-docker Examples and Code Snippets

No Code Snippets are available at this moment for flask-on-docker.

Community Discussions

Trending Discussions on flask-on-docker

testdriven.io flask-tdd-docker course chapter 15 pipeline stage test ERROR: Job failed: exit code 1

QUESTION

testdriven.io flask-tdd-docker course chapter 15 pipeline stage test ERROR: Job failed: exit code 1

Asked 2020-Oct-27 at 16:38

I am following python/flask/docker tutorial . Everything worked perfectly until I pushed to GitLab the pipeline stage builds fine then fails on test stage:

...

ANSWER

Answered 2020-Oct-27 at 15:47

Not quite resolving failed job. As gitlab newbie, the only thing that worked for me since I get no errors when I run locally was to match the test stage pip python packages install in test scripts in requirements.txt and to comment out the flake8 and black tests scripts.

Source https://stackoverflow.com/questions/64514265

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

Vulnerabilities

No vulnerabilities reported

Install flask-on-docker

You can download it from GitHub.
You can use flask-on-docker 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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