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2725475 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 | # syntax=docker/dockerfile:1.6
# DriftCall Env Space — multi-stage CPU-only image.
# Target final image: < 2 GB (DESIGN.md Risk 10, deploy_env_space.md §4.2).
# -------- Stage 1: builder --------
FROM python:3.11-slim AS builder
ENV PIP_NO_CACHE_DIR=1 \
PIP_DISABLE_PIP_VERSION_CHECK=1 \
PYTHONDONTWRITEBYTECODE=1
WORKDIR /build
# Build-time system deps (dropped from the runtime stage).
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
git \
libsndfile1 \
ffmpeg \
&& rm -rf /var/lib/apt/lists/*
COPY requirements.txt ./
RUN pip install --prefix=/install -r requirements.txt
# Pre-pull the Kokoro TTS and faster-whisper ASR weights into /weights so the
# runtime container can run HF_HUB_OFFLINE=1 without any network access.
RUN pip install --prefix=/install huggingface_hub
RUN PYTHONPATH=/install/lib/python3.11/site-packages \
python -c "from huggingface_hub import snapshot_download; \
snapshot_download('hexgrad/Kokoro-82M', cache_dir='/weights'); \
snapshot_download('Systran/faster-whisper-small', cache_dir='/weights')"
# -------- Stage 2: runtime --------
FROM python:3.11-slim
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
HF_HOME=/root/.cache/huggingface \
TRANSFORMERS_OFFLINE=1 \
HF_HUB_OFFLINE=1 \
WANDB_PROJECT=driftcall \
WANDB_MODE=disabled
RUN apt-get update && apt-get install -y --no-install-recommends \
libsndfile1 \
ffmpeg \
ca-certificates \
&& rm -rf /var/lib/apt/lists/*
COPY --from=builder /install /usr/local
COPY --from=builder /weights /root/.cache/huggingface
WORKDIR /app
# Application code — copy the notebook cells (importable modules), the
# FastAPI entrypoint, the OpenEnv manifest, and any authored fixtures.
COPY cells/ ./cells/
COPY app.py openenv.yaml ./
COPY data/ ./data/
EXPOSE 7860
HEALTHCHECK --interval=30s --timeout=5s --start-period=45s \
CMD python -c "import urllib.request; \
urllib.request.urlopen('http://127.0.0.1:7860/healthz', timeout=4).read()" \
|| exit 1
CMD ["uvicorn", "app:app", \
"--host", "0.0.0.0", \
"--port", "7860", \
"--workers", "2", \
"--timeout-keep-alive", "30", \
"--log-level", "info"]
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