ML/deployment/Dockerfile.prediction.lambda

FROM public.ecr.aws/lambda/python:3.12

# Set the working directory
WORKDIR ${LAMBDA_TASK_ROOT}
ENV PYTHONPATH="${PYTHONPATH}:${LAMBDA_TASK_ROOT}"
ENV MPLCONFIGDIR="/tmp/matplotlib"

# Environment variables
ARG RUNTIME_ENVIRONMENT
ENV RUNTIME_ENVIRONMENT=${RUNTIME_ENVIRONMENT}

# Install necessary build tools - required to test locally
RUN dnf install -y gcc python3-devel gcc-c++

# Install python packages
COPY modules/ml-pipeline/src/pipeline/requirements/predictions/requirements.txt ./requirements.txt

RUN pip install uv

RUN uv pip install -r requirements.txt --system
# RUN pip install --no-cache-dir -r ./requirements.txt

# Copy the project code
COPY modules/ml-pipeline/src/pipeline ./pipeline
# Copy the handler
COPY deployment/handlers/prediction_app.py ./pipeline/prediction_app.py
WORKDIR ${LAMBDA_TASK_ROOT}/pipeline


CMD [ "prediction_app.handler" ]