47 lines
1.3 KiB
Docker
47 lines
1.3 KiB
Docker
FROM python:3.11-slim
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# System deps: FFmpeg, libs za OpenCV, Node.js + unzip za Deno (yt-dlp JS challenge)
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ffmpeg \
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libsm6 \
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libxext6 \
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libgl1 \
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curl \
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nodejs \
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unzip \
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ca-certificates \
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&& rm -rf /var/lib/apt/lists/*
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# Deno runtime za yt-dlp YouTube nsig challenge solver
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RUN curl -fsSL https://deno.land/install.sh | DENO_INSTALL=/usr/local sh -s -- -y && \
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deno --version
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WORKDIR /app
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# Python deps
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt && \
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pip install --no-cache-dir --upgrade --pre "yt-dlp[default]"
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# App code
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COPY app/ ./app/
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COPY scripts/ ./scripts/
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COPY templates/ ./templates/
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RUN mkdir -p ./static
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# Data direktorij (Coolify bo prek Persistent Storage UI bind-al volume)
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RUN mkdir -p /data/uploads /data/outputs /data/jobs /data/cookies /data/qnet
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ENV DATA_DIR=/data
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ENV PYTHONUNBUFFERED=1
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EXPOSE 8000
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# Pre-download Whisper "small" model za faster cold start (opcijsko)
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# RUN python -c "from faster_whisper import WhisperModel; WhisperModel('small', device='cpu', compute_type='int8')"
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HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \
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CMD curl -fsS http://localhost:8000/healthz || exit 1
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "1"]
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