47 lines
1.7 KiB
Docker
47 lines
1.7 KiB
Docker
# Stage 1: Frontend bauen
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FROM node:20-alpine AS frontend
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WORKDIR /build
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COPY frontend/package.json frontend/package-lock.json ./
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RUN npm install
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COPY frontend/ ./
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RUN npm run build
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# Stage 2: Runtime — bewusst schlanker als beim alten creator:
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# kein Playwright/Chromium, kein Tesseract (creator2 braucht beides nicht).
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FROM python:3.12-slim
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl \
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ca-certificates \
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poppler-utils \
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&& curl -fsSL https://deb.nodesource.com/setup_20.x | bash - \
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&& apt-get install -y nodejs \
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&& npm install -g @anthropic-ai/claude-code opencode-ai \
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&& pip install --no-cache-dir uv \
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&& rm -rf /var/lib/apt/lists/*
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RUN useradd -m -u 1000 app
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COPY backend/requirements.txt /app/backend/requirements.txt
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# torch als CPU-Build (~190 MB) — sonst zieht sentence-transformers die
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# CUDA-Variante (~2,5 GB).
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RUN pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu \
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&& pip install --no-cache-dir -r /app/backend/requirements.txt
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COPY --chown=app:app backend/ /app/backend/
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COPY --chown=app:app templates/ /app/templates/
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COPY --chown=app:app --from=frontend /build/dist /app/frontend/dist
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COPY --chown=app:app dev-ops/opencode.json /home/app/.config/opencode/opencode.json
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RUN mkdir -p /app/storage /app/topics && chown -R app:app /app
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USER app
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# Embedding-Modell ins Image backen — sonst lädt jeder Container-Neustart
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# ~120 MB von Hugging Face (Dedup-Kandidaten, embedding.py)
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RUN python3 -c "from sentence_transformers import SentenceTransformer; \
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SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2')"
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WORKDIR /app/backend
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
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