########

# BASE #

########

FROM python:3.12-slim

WORKDIR /app/

# Set environment variables - fixed Poetry configuration

ENV PYTHONDONTWRITEBYTECODE=1 \

PYTHONUNBUFFERED=1 \

POETRY_VERSION=1.5.1 \

POETRY_VIRTUALENVS_CREATE=false \

POETRY_VIRTUALENVS_IN_PROJECT=false \

POETRY_NO_INTERACTION=1 \

POETRY_CACHE_DIR=/tmp/poetry_cache \

PYTHONPATH=/app

# Install system dependencies

RUN apt-get update && apt-get install -y --no-install-recommends \

curl \

&& rm -rf /var/lib/apt/lists/*

# Install Poetry

RUN pip install "poetry==$POETRY_VERSION"

# Copy only requirements to cache them in docker layer

COPY pyproject.toml ./

# Copy poetry.lock if it exists

COPY poetry.lock* ./

# Install dependencies globally since we're not using virtualenvs

RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --no-root --no-ansi --no-interaction

ARG commit

ARG version

ARG build_time

# Create build info

RUN echo "COMMIT: ${commit:-unknown}" > build_info && \

echo "VERSION: ${version:-dev}" >> build_info && \

echo "BUILD_TIME: ${build_time:-$(date)}" >> build_info

ENV COMMIT=${commit:-unknown}

ENV VERSION=${version:-dev}

ENV BUILD_TIME=${build_time:-$(date)}

# Copy application code

COPY . .

# Install the local project package into the image so top-level packages

# like `entity_graph` are available at runtime regardless of PYTHONPATH

# set by docker-compose. We run a full poetry install here (no-root omitted

# earlier to cache deps) which will install the package into the image.

RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --no-ansi --no-interaction