ML/deployment/Dockerfile.monitoring.lambda

FROM public.ecr.aws/lambda/python:3.10

# Set the working directory
WORKDIR ${LAMBDA_TASK_ROOT}
ENV PYTHONPATH "${PYTHONPATH}:${LAMBDA_TASK_ROOT}"

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

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

# Install python packages
COPY modules/ml-pipeline/src/pipeline/requirements/predictions/requirements.txt ./predictions_requirements.txt
COPY modules/ml-monitoring/src/evidently/src/requirements/requirements.txt ./monitoring_requirements.txt
RUN pip install --no-cache-dir -r ./predictions_requirements.txt -r ./monitoring_requirements.txt

# Copy the project code
COPY modules/ml-pipeline/src/pipeline ./pipeline
# Copy the monitoring code
COPY modules/ml-monitoring/src/evidently/src ./monitoring

# Copy the handler
COPY deployment/handlers/monitoring_app.py ./pipeline/monitoring_app.py
WORKDIR ${LAMBDA_TASK_ROOT}/pipeline


CMD [ "monitoring_app.handler" ]