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bump default to v2.4.1, ensure patches installed
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.github/workflows/DockerBuild.AzureFunctionsBaseImage.yaml

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@@ -11,7 +11,7 @@ on:
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version:
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description: "Version of ArcGIS API for Python to install in the image"
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type: string
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default: "2.3.1"
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default: "2.4.1"
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python_version:
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description: "Python version to base image on"
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type: string

.github/workflows/DockerBuild.LambdaBaseImage.yaml

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version:
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description: "Version of ArcGIS API for Python to install in the image"
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type: string
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default: "2.3.1"
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default: "2.4.1"
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python_version:
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description: "Python version to base image on"
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type: string

docker/AzureFunctionsBaseImage.Dockerfile

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@@ -12,6 +12,6 @@ LABEL org.opencontainers.image.source=https://github.com/esri/arcgis-python-api
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RUN apt-get update && apt-get install -y gcc libkrb5-dev krb5-config krb5-user && apt-get clean && rm -rf /var/lib/apt/lists/*
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RUN pip3 install azure-functions && rm -rf /home/.cache/pip
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# install arcgis
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ARG arcgis_version="2.3.1"
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ARG arcgis_version="2.4.1"
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# adding .* ensures the latest patch version is installed
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RUN pip3 install "arcgis==${arcgis_version}.*" && rm -rf /home/.cache/pip

docker/LambdaBaseImage.Dockerfile

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@@ -11,7 +11,7 @@ LABEL org.opencontainers.image.source=https://github.com/esri/arcgis-python-api
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# install dependencies, then clean yum cache
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RUN yum -y install gcc gcc-c++ krb5-devel krb5-server krb5-libs && yum clean all && rm -rf /var/cache/yum
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# install arcgis
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ARG arcgis_version="2.3.1"
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ARG arcgis_version="2.4.1"
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# adding .* ensures the latest patch version is installed
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RUN pip3 install "arcgis==${arcgis_version}.*" --target "${LAMBDA_TASK_ROOT}" && rm -rf /root/.cache/pip
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# set entrypoint to app.py handler method

docker/NotebookImage.Dockerfile

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@@ -27,7 +27,8 @@ RUN conda install -n ${env_name} -c conda-forge gdal=${gdal_version} -y --quiet
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# Install ArcGIS API for Python from pypi
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RUN . activate ${env_name} \
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&& python -m pip install arcgis==${arcgis_version} \
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# adding .* ensures the latest patch version is installed
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&& python -m pip install "arcgis==${arcgis_version}.*" \
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&& conda clean --all -f -y \
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&& find /opt/conda -name __pycache__ -type d -exec rm -rf {} +
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