Files
AutoMetabuilder/backend/Dockerfile
johndoe6345789 22c9306347 Introduce AutoMetabuilder core components and workflow packages:
- Implement core components: CLI argument parsing, environment loading, GitHub service creation, and logging configuration.
- Add support for OpenAI client setup and model resolution.
- Develop SDLC context loader from GitHub and repository files.
- Implement workflow context and engine builders.
- Introduce major workflow packages: `game_tick_loop` and `contextual_iterative_loop`.
- Update localization files with new package descriptions and labels.
- Streamline web navigation by loading items from a dedicated JSON file.
2026-01-10 01:08:34 +00:00

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Docker

# Use an official Python runtime as a parent image
FROM python:3.11-slim
# Set the working directory in the container
WORKDIR /app
# Install git and other necessary dependencies
RUN apt-get update && apt-get install -y \
git \
&& rm -rf /var/lib/apt/lists/*
# Install poetry
RUN pip install poetry
# Copy the current directory contents into the container at /app
COPY .. /app
# Install project dependencies
RUN poetry config virtualenvs.create false \
&& poetry install --no-interaction --no-ansi
# Run the application
CMD ["python", "-m", "autometabuilder"]