Django Docker Setup

Jan 19, 2021 $ tar xvfz django-celery-beat-0.0.0.tar.gz $ cd django-celery-beat-0.0.0 $ python setup.py build # python setup.py install The last command must be executed as a privileged user if you are not currently using a virtualenv. Docker let you to do it with the help of port forwarding. First run docker ps -a, find your container id, usually the very first column and then run the command like docker port 8dbfe2506534 where 8dbfe2506534 is my container id. Even if you just do a docker ps -a you can see how a port is being. Feb 10, 2021 Address the removal of the PassThrougManager from django-model-utils version 2.4. We’ve removed the dependency on django-model-utils and included the PassThroughManger (which was always a standalone tool distributed a part of django-model-utils) for compatibility with earlier versions of Django (. Django and GitLab - Running Continuous Integration and tests with your FREE account - May. 11, 2016; Development and Deployment of Cookiecutter-Django on Fedora - Jan. 18, 2016; Development and Deployment of Cookiecutter-Django via Docker - Dec. 29, 2015; How to create a Django Application using Cookiecutter and Django 1.8 - Sept. May 17, 2017 $ docker images # images list on your local machine # EXPECTED OUTPUT REPOSITORY TAG IMAGE ID CREATED SIZE djangodockerazure latest accdb9539bdd 3 mins ago 848 MB djangogunicorn v2 accdb9539bdd.

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With version 0.9.0 and later, the Docker extension provides more support for debugging applications within Docker containers, such as scaffolding launch.json configurations for attaching a debugger to applications running within a container.

The Docker extension provides a docker debug configuration provider that manages how VS Code will launch an application and/or attach a debugger to the application in a running Docker container. This provider is configured via entries within launch.json, with configuration being specific to each application platform supported by the provider.

The Docker extension currently supports debugging Node.js, Python, and .NET Core applications within Docker containers.

Requirements

Scaffolding or pasting a launch configuration into launch.json is not sufficient to build and debug a Docker container. To successfully run a Docker launch configuration, you must have:

A Dockerfile.
docker-build and docker-run tasks in tasks.json.
A launch configuration that invokes these tasks.

We recommend using the Docker: Add Docker Files to Workspace... command to create these items, if none of these assets already exist. If you already have a functional Dockerfile, we recommend using the Docker: Initialize for Docker debugging command to scaffold a launch configuration and Docker-related tasks.

Node.js

More information about debugging Node.js applications within Docker containers can be found at Debug Node.js within a container.

Example launch.json configuration for debugging a Node.js application:

Python

More information about debugging Python applications within Docker containers can be found at Debug Python within a container.

Example launch.json configuration for debugging a Python application:

.NET Core

More information about debugging .NET Core applications within Docker containers can be found in Debug .NET Core within Docker containers.

The previous (Preview) .NET Core Docker debugging support (utilizing 'type': 'docker-coreclr' instead of the current preview's 'type': 'docker') is being deprecated. You can still find documentation on that support at Debug .NET Core - Deprecated.

Example launch.json configuration for debugging a .NET Core application:

Configuration reference

Property	Description
`containerName`	Name of the container used for debugging.
`dockerServerReadyAction`	Options for launching a browser to the Docker container. Similar to serverReadyAction, but replaces container ports with host ports.
`removeContainerAfterDebug`	Whether to remove the debug container after debugging.
`platform`	The target platform for the application. Can be `netCore` or `node`.
`netCore`	Options for debugging .NET Core projects in Docker.
`node`	Options for debugging Node.js projects in Docker.
`python`	Options for debugging Python projects in Docker.

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dockerServerReadyAction object properties

Property	Description
`action`	The action to take when the pattern is found. Can be `debugWithChrome` or `openExternally`.
`containerName`	The container name to match the host port.
`pattern`	The regex pattern to look for in Debug console output.
`uriFormat`	The URI format to launch.
`webRoot`	The root folder from which web pages are served. Used only when `action` is set to `debugWithChrome`.

node object properties

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These properties are the same as those described in the VS Code documentation for attaching a debugger to Node.js applications. All properties passed in the node object will be passed on to the Node.js debug adaptor, even if not specifically listed below.

Property	Description	Default
`port`	Optional. The debug port to use.	`9229`
`address`	Optional. TCP/IP address of the debug port.
`sourceMaps`	Optional. Enable source maps by setting this to `true`.
`outFiles`	Optional. Array of glob patterns for locating generated JavaScript files.
`autoAttachChildProcesses`	Optional. Track all subprocesses of debuggee and automatically attach to those that are launched in debug mode.
`timeout`	Optional. When restarting a session, give up after this number of milliseconds.
`stopOnEntry`	Optional. Break immediately when the program launches.
`localRoot`	Optional. VS Code's root directory.	The root workspace folder.
`remoteRoot`	Optional. Node's root directory within the Docker container.	`/usr/src/app`
`smartStep`	Optional. Try to automatically step over code that doesn't map to source files.
`skipFiles`	Optional. Automatically skip files covered by these glob patterns.
`trace`	Optional. Enable diagnostic output.

python object properties

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Property	Description	Default
`host`	The host for remote debugging.
`port`	The port for remote debugging.	`5678`
`pathMappings`	Maps the project path between local machine and remote host.
`projectType`	Type of Python app.
`justMyCode`	Debug only user-written code.
`django`	Django debugging.	`false`
`jinja`	Jinja template debugging (such as Flask).	`false`

netCore object properties

Properties passed in the netCore object are generally passed on to the .NET Core debug adaptor, even if not specifically listed below. The complete list of debugger properties is in the OmniSharp VS Code extension documentation.

Property	Description
`appProject`	The .NET Core project (.csproj, .fsproj, etc.) to debug.

Next steps

Django Docker Setup Windows

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