39 lines
1.1 KiB
Docker
39 lines
1.1 KiB
Docker
FROM python:3.11-slim
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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PIP_NO_CACHE_DIR=1 \
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OMP_NUM_THREADS=2 \
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TOKENIZERS_PARALLELISM=false \
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TORCH_HOME=/data/models
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# tesseract-ocr + pacote de idioma português + libs de imagem do MuPDF
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RUN apt-get update && apt-get install -y --no-install-recommends \
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tesseract-ocr \
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tesseract-ocr-por \
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tesseract-ocr-eng \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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# PyTorch só com CPU: o wheel padrão traz ~4 GB de bibliotecas CUDA, inúteis aqui.
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RUN pip install --no-cache-dir \
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--index-url https://download.pytorch.org/whl/cpu \
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"torch==2.5.1"
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COPY requirements.txt requirements-dev.txt ./
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RUN pip install --no-cache-dir -r requirements-dev.txt
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COPY app ./app
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COPY tests ./tests
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RUN mkdir -p /data/vector_db /data/pdfs /data/models
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EXPOSE 8000
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HEALTHCHECK --interval=30s --timeout=5s --start-period=20s --retries=3 \
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CMD curl -fsS http://localhost:8000/api/health || exit 1
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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