Dockerfile.lambda

# Lambda Container Image for Melanoma Prediction
# Based on AWS Lambda Python 3.12 base image (Amazon Linux 2023)

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

# Install system dependencies
RUN dnf install -y \
    gcc \
    libjpeg-turbo-devel \
    zlib-devel \
    libgomp \
    && dnf clean all

# Set working directory
WORKDIR ${LAMBDA_TASK_ROOT}

# Install Python dependencies from the pinned lock file
COPY requirements.lock ./
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.lock && \
    rm -rf /root/.cache/pip

# Copy application code
COPY ml_model_serving/ ${LAMBDA_TASK_ROOT}/ml_model_serving/
COPY handler.py ${LAMBDA_TASK_ROOT}/

# Copy the trained model
COPY cnn-models/ ${LAMBDA_TASK_ROOT}/cnn-models/

# Set model path environment variable
ENV MODEL_PATH=${LAMBDA_TASK_ROOT}/cnn-models/xception/1/

# Set the Lambda handler
CMD ["handler.predict"]