mirror of
https://github.com/kodxana/madiator-docker-runpod.git
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62 lines
3 KiB
Text
62 lines
3 KiB
Text
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For local development of this image, you can run the image with 3 options:
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- Docker Compose (production or Development)
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- VS Code (F5 Debugging)
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PREPARE ENV variables:
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Both docker-compose YML files and the VS-Code "tasks.json" configuration file
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pass a ".env" file into the container, to set User-specific ENV variables.
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Edit the supplied "env.txt" template file with your values, and then rename it to ".env".
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The ".env" file is in the ".gitignore" file to avoid unwanted secret-sharing with GitHub!
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To build and run the image with DOCKER COMPOSE:
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To run in "production":
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Use the command "docker compose up":
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That runs the container without debugger, but enables localhost and a workspace bind.
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It uses the default "docker-compose.yml", which should be ADJUSTED to your workspace bind location.
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This YML file binds all application ports (7222, 8181, 7777) all browsable from localhost,
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and your SSH public key will be configured and be usable!
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It uses 1 docker bind mount:
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- "/workspace" can be bound to any location on your local machine (ADJUST the location in the YML file)
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This option uses the default entry CMD "start.sh" as defined in the "Dockerfile".
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To run in "development":
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Use the command "docker compose -f docker-compose.debug.yml"
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That runs the container with a python debugger (debugpy) attached, enables localhost browsing,
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and binds the workspace from a local folder of your choice.
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It uses 2 docker bind mounts:
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- "/app" to mirror your app into the container (supports hot-reload) and debugging against your source files
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- "/workspace" can be bound to any location on your local machine (ADJUST the location in the YML file)
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This second debug YML configuration is configured with the same settings that are used for
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VS-Code debugging with the VS-Code Docker Extension with Run -> Debug (F5).
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BUT YOU NEED TO ATTACH THE DEBUGGER YOURSELF
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Use the debugpy.wait_for_client() function to block program execution until the client is attached.
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See more at https://github.com/microsoft/debugpy
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It is much easier to build and run the image with VS-CODE (Run -> Debug F5):
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The VS-Code Docker Extension uses 2 files in the hidden folder ".vscode":
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- launch.json
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- tasks.json
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The "tasks.json" file is the file with most configuration settings
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which basically mirrors to the "docker-compose.debug.yml"
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ALL these 5 mention files (env.txt, docker-compose.yml, docker-compose.debug.yml,
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launch.json, tasks.json, en.txt) are heavily commented.
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NOTES
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Both debugging options with "docker-compose.debug.yml", or VS-Code Docker Extenstions "tasks.json"
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replace the CMD entry point of the Dockerfile to "python3", instead of "start.sh" !!!
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That means that the apps on port 8181 (File-Browser) and 7777 (VSCode-Server) are
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NOT available during debugging, neither will your SSH public key be configured and is not usable,
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as these configuration things happen in "start.sh", but they are not needed during development.
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Only the NGINX server and the Flask module will be started during debugging.
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