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* chore: add devcontainer Dockerfile, devcontainer.json, and env * style: remove unnecessary comment on ENABLE_CACHE setting * docs: add internal devcontainer README with setup instructions * Update README in .devcontainer based on PR #997 --------- Co-authored-by: jingyuanlm <842442862@qq.com>
Introduction
!!!!!This dev container is not for public development!!!!!! !!!!!Please don't use it if you are just a public open-source user.!!!!!!
Steps to run the dev container (for internal use only)
Prerequisites(this is the reason why this dev container is not for public use):
- Make sure you have the
rdagentappregistry.azurecr.io/rd-agent-mle:20250623image locally & DevContainer is installed in your IDE - The kaggle dataset is located at
/home/shared/RD-Agent/kaggle
- Open the project and select "Open In DevContainer"
- Set up your Kaggle Key (do not share this; other internal URLs are hardcoded in the config files)
export KAGGLE_USERNAME=
export KAGGLE_KEY=
- Run: python rdagent/app/data_science/loop.py --competition nomad2018-predict-transparent-conductors
Additional Notes
- Please install and use this Dev Container in VS Code.
- You must open VS Code remotely and enter the
RD-Agentdirectory before running the DevContainer configuration (.devcontainer/devcontainer.json). Otherwise, the workspace and path mappings will not work as expected. - To open the DevContainer correctly in VS Code:
- Remotely connect to the machine and open the
RD-Agentfolder in VS Code. - Press
Ctrl+Shift+P(orCmd+Shift+Pon Mac), type and select "Dev Containers: Reopen in Container".
- Remotely connect to the machine and open the