Update Dockerfile and documentation to uv

[amc-corey-cox]

While I was doing some documentation improvement, Claude identified that Docker is using poetry when we have now switched to uv. This looked like an easy fix so I've created a PR for it here. If you don't like how this changes things feel free to throw it out.

[Copilot]

Pull request overview

This PR migrates the Docker build configuration from Poetry to uv, aligning the containerized environment with the project's package manager transition. The changes remove Poetry-specific configurations and replace them with uv equivalents.

Key Changes:

• Replaced Poetry installation with uv using the official install script
• Updated dependency installation from poetry install --with env --with dev to uv sync --frozen
• Updated the container's default command from poetry run dm-bip run to uv run dm-bip run

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.

File	Description
Dockerfile	Migrated from Poetry to uv: removed Poetry environment variables and installation, added curl dependency, installed uv via official script, updated dependency sync and run commands
DOCKER.md	Updated documentation to reflect the new default command using uv run instead of poetry run

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[Copilot]

Consider using the official uv Docker image as a base or installing uv via pip for better reproducibility in Docker environments. The shell script installation method may not pin to a specific version and could lead to inconsistent builds over time.

Recommended alternatives:

• Use COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv to copy the binary from the official image
• Or use pip install uv with a pinned version for reproducibility

Suggested change

	RUN curl -LsSf https://astral.sh/uv/install.sh | sh
	ENV PATH="/root/.local/bin:$PATH"
	COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv

[amc-corey-cox]

@vbakalov can you give an opinion on this one and we'll decide how to resolve it?

[Copilot]

[nitpick] Consider optimizing Docker layer caching by copying only the dependency files before copying the entire project. This allows Docker to cache the dependency installation layer and only rebuild it when dependencies change, not when code changes.

Recommended structure:

# Copy dependency files first for caching
COPY pyproject.toml uv.lock ./

# Install dependencies using uv
RUN uv sync --frozen

# Copy the rest of the project
COPY . .

This can significantly speed up Docker builds during development when only code changes, not dependencies.

[amc-corey-cox]

This sounds good but I'm not sure I understand it. We can ignore it if this seems like a lot of work, especially since things are a little fluid now. @vbakalov let me know what you think.