add conda and mamba cli

[usernameisnull]

• Installs Miniforge (conda CLI) in the data-loader Docker image
• Fixes golangci-lint QF1012 warnings by using fmt.Fprintf instead of WriteString+Sprintf
• Sets WORKDIR to /workspace in the Dockerfile

[gemini-code-assist]

Summary of Changes

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This pull request enhances the data-loader Docker image by integrating the Conda package manager. This addition provides a robust environment for managing Python packages and dependencies, which is crucial for data loading operations that might require specific scientific computing libraries not easily managed by pip alone. The changes ensure that Conda is properly installed and configured for immediate use within the container.

Highlights

• Conda CLI Integration: The Conda command-line interface (CLI) has been added to the data-loader Docker image, enabling Conda package management within the container.
• Environment Configuration: New environment variables CONDA_DIR and an updated PATH have been configured to ensure the Conda binaries are accessible system-wide within the image.
• Miniforge Installation: Miniforge, a minimal installer for Conda, is now downloaded and installed into the specified CONDA_DIR, followed by a cleanup of installation artifacts.

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Changelog

• data-loader.Dockerfile
  • Added CONDA_DIR environment variable.
  • Updated PATH environment variable to include Conda's binary directory.
  • Installed Miniforge to provide Conda functionality.
  • Cleaned up temporary installation files and Conda cache.

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[gemini-code-assist]

Code Review

The pull request successfully integrates the Conda CLI into the data-loader Docker image. Environment variables for Conda are correctly set, and Miniforge is installed and cleaned up in a single RUN layer, which is good for image optimization. One area for improvement is to pin the Miniforge version for better reproducibility.