SuperAGI
/
Dockerfile
39 строк · 1.0 Кб
1# Stage 1: Compile image
2FROM python:3.10-slim-bullseye AS compile-image
3WORKDIR /app
4
5RUN apt-get update && \
6apt-get install --no-install-recommends -y wget libpq-dev gcc g++ && \
7apt-get clean && \
8rm -rf /var/lib/apt/lists/*
9
10RUN python -m venv /opt/venv
11ENV PATH="/opt/venv/bin:$PATH"
12
13COPY requirements.txt .
14RUN pip install --upgrade pip && \
15pip install --no-cache-dir -r requirements.txt
16
17RUN python3.10 -c "import nltk; nltk.download('punkt')" && \
18python3.10 -c "import nltk; nltk.download('averaged_perceptron_tagger')"
19
20COPY . .
21
22RUN chmod +x ./entrypoint.sh ./wait-for-it.sh ./install_tool_dependencies.sh ./entrypoint_celery.sh
23
24# Stage 2: Build image
25FROM python:3.10-slim-bullseye AS build-image
26WORKDIR /app
27
28RUN apt-get update && \
29apt-get install --no-install-recommends -y libpq-dev && \
30apt-get clean && \
31rm -rf /var/lib/apt/lists/*
32
33COPY --from=compile-image /opt/venv /opt/venv
34COPY --from=compile-image /app /app
35COPY --from=compile-image /root/nltk_data /root/nltk_data
36
37ENV PATH="/opt/venv/bin:$PATH"
38
39EXPOSE 8001