![]() Trigger an Xdebug breakpoint in PhpStorm.Configure PhpStorm for Xdebug connections.Enable disable check the status of Xdebug.Install the Xdebug helper browser plugin for Chrome & PhpStorm.Set up a docker-magento project in PhpStorm.Manage files & folders within Docker containers.Understand Docker volumes & host bind mounts.Execute bin/magento and composer within Docker containers.Start, stop, restart and check container status.Set up Docker for an existing Magento project.Set up Magento manually from a custom Git branch.Set up Magento with the automated onelinesetup script.Install Docker Desktop & configure preferences.Set Up a Magento 2 Development Environment with Docker This course is sponsored by M.academy, the simplest way to learn Magento.Ī free screencast course is available (which was fully refreshed in December 2021), which details the basic usage of this project: markoshust/magento-rabbitmq (Docker Hub).markoshust/magento-elasticsearch (Docker Hub).markoshust/magento-opensearch (Docker Hub).Mark Shust's Docker Configuration for Magento Table of contents Debugging Python within Docker containers.Debugging Node.js within Docker containers.The complete list of debugger properties is in the OmniSharp VS Code extension documentation. NET debug adaptor, even if not specifically listed below. Properties passed in the netCore object are generally passed on to the. Jinja template debugging (such as Flask). The project type will be used to set the port and commands used for debugging. The type of your Python project, flask for Flask projects, django for Django, fastapi for FastAPI, and general for others. Maps the project path between local machine and remote host. Automatically skip files covered by these glob patterns. Try to automatically step over code that doesn't map to source files. ![]() Node's root directory within the Docker container. Break immediately when the program launches. When restarting a session, give up after this number of milliseconds. Track all subprocesses of debuggee and automatically attach to those that are launched in debug mode. Array of glob patterns for locating generated JavaScript files. Enable source maps by setting this to true. All properties passed in the node object will be passed on to the Node.js debug adaptor, even if not specifically listed below. These properties are the same as those described in the VS Code documentation for attaching a debugger to Node.js applications. Used only when action is set to debugWithChrome. The root folder from which web pages are served. The regex pattern to look for in Debug console output. The container name to match the host port. Can be debugWithChrome or openExternally. The action to take when the pattern is found. Options for debugging Python projects in Docker.ĭockerServerReadyAction object properties Property Options for debugging Node.js projects in Docker. Whether to remove the debug container after debugging. Similar to serverReadyAction, but replaces container ports with host ports. Options for launching a browser to the Docker container. Name of the container used for debugging. More information about debugging Node.js applications within Docker containers can be found at Debug Node.js within a container.Įxample launch.json configuration for debugging a Node.js application: Configuration reference Property 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. command to create these items, if none of these assets already exist. We recommend using the Docker: Add Docker Files to Workspace. A launch configuration that invokes these tasks.docker-build and docker-run tasks in tasks.json.To successfully run a Docker launch configuration, you must have: Scaffolding or pasting a launch configuration into launch.json is not sufficient to build and debug a Docker container. NET applications within Docker containers. The Docker extension currently supports debugging Node.js, Python, and. This provider is configured via entries within launch.json, with configuration being specific to each application platform supported by the provider. 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. 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. Configure IntelliSense for cross-compiling.
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