Update docker build for raster processing pipeline

Core/LAMBDA/viz_functions/image_based/viz_raster_processing/Dockerfile

@@ -1,20 +1,45 @@
-FROM public.ecr.aws/lambda/python:3.9
+FROM mambaorg/micromamba AS micromamba
+
+# Create conda environment for hydrovis
+RUN --mount=type=bind,source=conda-linux-64.lock,target=/tmp/conda.lock \
+    micromamba install -y --file /tmp/conda.lock && \
+    micromamba clean -afy
+
+# Clean out unnecessary files to reduce image size
+RUN find /opt/conda -regex '^.*\(__pycache__\|\.py[co]\)$' -delete && \
+    find /opt/conda -follow -type f -name '*.a' -delete
+RUN rm -rf /opt/conda/man /opt/conda/share/man /opt/conda/share/doc && \
+    rm -rf /opt/conda/include && \
+    rm -rf /opt/conda/share/bash-completion && \
+    rm -rf /opt/conda/share/info && \
+    rm -rf /opt/conda/share/examples && \
+    rm -rf /opt/conda/conda-meta
 
-# Copy function code
-COPY lambda_function.py ${LAMBDA_TASK_ROOT}
-ADD products "${LAMBDA_TASK_ROOT}/products"
-COPY serverless.yml ${LAMBDA_TASK_ROOT}
-COPY viz_classes.py ${LAMBDA_TASK_ROOT}
-COPY viz_lambda_shared_funcs.py ${LAMBDA_TASK_ROOT}
 
-# Install the function's dependencies using file requirements.txt
-# from your project folder.
+FROM public.ecr.aws/amazonlinux/amazonlinux:2023-minimal AS alinux
 
-COPY requirements.txt  .
-RUN  pip3 install -r requirements.txt --target "${LAMBDA_TASK_ROOT}"
+ENV MAMBA_ROOT_PREFIX="/opt/conda"
+ENV MAMBA_EXE="/bin/micromamba"
+# Prevent Python from writing bytecode files
+ENV PYTHONDONTWRITEBYTECODE=1
+# Prevent python from buffering stdout
+ENV PYTHONUNBUFFERED=1
+COPY --from=micromamba --chown=root "$MAMBA_EXE" "$MAMBA_EXE"
+COPY --from=micromamba --chown=root /opt/conda /opt/conda
+COPY --from=micromamba --chown=root /usr/local/bin/_*.sh /usr/local/bin/
+
+WORKDIR /home/code
+
+# Copy function code
+COPY products/ ./products/
+COPY lambda_function.py \
+    viz_classes.py \
+    viz_lambda_shared_funcs.py \
+    ./
 
-# Set the CMD to your handler (could also be done as a parameter override outside of the Dockerfile)
-CMD [ "lambda_function.lambda_handler" ]
+SHELL ["/usr/local/bin/_dockerfile_shell.sh"]
 
-# Removes severity vulnerabilities
-RUN yum -y update
+ENTRYPOINT [ "/usr/local/bin/_entrypoint.sh" ]
+CMD [ \
+    "python", "-m", "awslambdaric", "lambda_function.lambda_handler" \
+]

Core/LAMBDA/viz_functions/image_based/viz_raster_processing/buildspec.yml

@@ -9,7 +9,7 @@ phases:
     commands:
       - echo Build started on `date`
       - echo Building the Docker image...          
-      - docker build -t $IMAGE_REPO_NAME:$IMAGE_TAG .
+      - docker buildx build -t $IMAGE_REPO_NAME:$IMAGE_TAG .
       - docker tag $IMAGE_REPO_NAME:$IMAGE_TAG $AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com/$IMAGE_REPO_NAME:$IMAGE_TAG      
   post_build:
     commands: