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