mirror of
https://github.com/vegu-ai/talemate.git
synced 2025-12-14 18:57:47 +01:00
c179fcd3eb
Visual Agent Refactor + Visual Library Character Card Import Refactor Bug fixes and other improvements
97 lines
2.9 KiB
Docker
97 lines
2.9 KiB
Docker
# Stage 1: Frontend build
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FROM node:21-slim AS frontend-build
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WORKDIR /app
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# Copy frontend package files
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COPY talemate_frontend/package*.json ./
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# Install dependencies
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RUN npm ci
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# Copy frontend source
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COPY talemate_frontend/ ./
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# Build frontend
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RUN npm run build
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# Stage 2: Backend build
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FROM python:3.11-slim AS backend-build
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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bash \
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gcc \
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&& rm -rf /var/lib/apt/lists/*
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# Install uv
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RUN pip install uv
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# Copy installation files
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COPY pyproject.toml uv.lock /app/
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# Copy the Python source code (needed for editable install)
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COPY ./src /app/src
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# Create virtual environment and install dependencies (includes CUDA support via pyproject.toml)
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RUN uv sync
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# Stage 3: Final image
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FROM python:3.11-slim
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WORKDIR /app
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RUN apt-get update && apt-get install -y \
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bash \
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wget \
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tar \
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xz-utils \
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&& rm -rf /var/lib/apt/lists/*
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# Install uv in the final stage
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RUN pip install uv
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# Copy virtual environment from backend-build stage
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COPY --from=backend-build /app/.venv /app/.venv
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# Download and install FFmpeg 8.0 with shared libraries into .venv (matching Windows installer approach)
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# Using BtbN FFmpeg builds which provide shared libraries - verified to work
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# Note: We tried using jrottenberg/ffmpeg:8.0-ubuntu image but copying libraries from it didn't work properly,
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# so we use the direct download approach which is more reliable and matches the Windows installer
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RUN cd /tmp && \
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wget -q https://github.com/BtbN/FFmpeg-Builds/releases/download/latest/ffmpeg-master-latest-linux64-gpl-shared.tar.xz -O ffmpeg.tar.xz && \
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tar -xf ffmpeg.tar.xz && \
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cp -a ffmpeg-master-latest-linux64-gpl-shared/bin/* /app/.venv/bin/ && \
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cp -a ffmpeg-master-latest-linux64-gpl-shared/lib/* /app/.venv/lib/ && \
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rm -rf ffmpeg-master-latest-linux64-gpl-shared ffmpeg.tar.xz && \
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LD_LIBRARY_PATH=/app/.venv/lib /app/.venv/bin/ffmpeg -version | head -n 1
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# Set LD_LIBRARY_PATH so torchcodec can find ffmpeg libraries at runtime
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ENV LD_LIBRARY_PATH=/app/.venv/lib:${LD_LIBRARY_PATH}
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# Copy Python source code
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COPY --from=backend-build /app/src /app/src
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# Copy Node.js build artifacts from frontend-build stage
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COPY --from=frontend-build /app/dist /app/talemate_frontend/dist
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# Copy the frontend WSGI file if it exists
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COPY frontend_wsgi.py /app/frontend_wsgi.py
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# Copy base config
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COPY config.example.yaml /app/config.yaml
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# Copy essentials
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COPY scenes templates chroma* /app/
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# Set PYTHONPATH to include the src directory
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ENV PYTHONPATH=/app/src:$PYTHONPATH
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# Make ports available to the world outside this container
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EXPOSE 5050
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EXPOSE 8080
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# Use bash as the shell, activate the virtual environment, and run backend server
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CMD ["uv", "run", "src/talemate/server/run.py", "runserver", "--host", "0.0.0.0", "--port", "5050", "--frontend-host", "0.0.0.0", "--frontend-port", "8080"] |