Auto-generate Dockerfile.codespace for credit-scorer

credit-scorer/Dockerfile.codespace

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+# Sandbox base image
+FROM zenmldocker/zenml-sandbox:latest
+
+# Install uv from official distroless image
+COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
+
+# Set uv environment variables for optimization
+ENV UV_SYSTEM_PYTHON=1
+ENV UV_COMPILE_BYTECODE=1
+
+# Project metadata
+LABEL project_name="credit-scorer"
+LABEL project_version="0.1.0"
+
+# Install dependencies with uv and cache optimization
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv pip install --system \
+    "cyclonedx-python-lib>=10.0.1" \
+    "fairlearn>=0.12.0" \
+    "lightgbm>=4.6.0" \
+    "markdown>=3.8" \
+    "matplotlib>=3.10.3" \
+    "modal>=0.74.55" \
+    "openpyxl>=3.1.5" \
+    "pandas>=2.2.3" \
+    "plotly>=6.0.1" \
+    "scikit-learn>=1.6.1" \
+    "seaborn>=0.13.2" \
+    "slack-sdk>=3.35.0" \
+    "streamlit>=1.45.1" \
+    "streamlit-option-menu>=0.4.0" \
+    "tabulate>=0.9.0" \
+    "weasyprint>=65.1" \
+    "xlsxwriter>=3.2.3" \
+    "zenml>=0.82.1"
+
+# Set workspace directory
+WORKDIR /workspace
+
+# Clone only the project directory and reorganize
+RUN git clone --depth 1 https://github.com/zenml-io/zenml-projects.git /tmp/zenml-projects && \
+    cp -r /tmp/zenml-projects/credit-scorer/* /workspace/ && \
+    rm -rf /tmp/zenml-projects
+
+# VSCode settings
+RUN mkdir -p /workspace/.vscode && \
+    printf '{\n  "workbench.colorTheme": "Default Dark Modern"\n}' > /workspace/.vscode/settings.json
+
+