Provided a name in config and updated the dockerfile to use the one from wolframEvaluationFunction

Author: m-messer

Dockerfile

@@ -1,7 +1,4 @@
-FROM ghcr.io/lambda-feedback/evaluation-function-base/wolfram:latest AS final
-
-# Use the WSTP server as a kernel backend
-ENV WSTP_SERVER="true"
+FROM ghcr.io/lambda-feedback/evaluation-function-base/wolfram:latest as base
 
 # Command to start the evaluation function with
 ENV FUNCTION_COMMAND="wolframscript"
@@ -12,22 +9,7 @@ ENV FUNCTION_ARGS="-f,/app/evaluation_function.wl"
 # Interface to use for the evaluation function
 ENV FUNCTION_INTERFACE="file"
 
-# Copy the evaluation function to the app directory
-COPY ./evaluation_function.wl /app/evaluation_function.wl
-
-# Final layer for private images, which contains the wolfram licence key,
-# and is started with the shimmy handle command.
-FROM final AS final-private
-
-# Copy the mathpass secret to the Wolfram Engine licensing directory.
-# See https://hub.docker.com/r/wolframresearch/wolframengine for more information.
-RUN --mount=type=secret,id=mathpass \
-    mkdir -p /tmp/home/.WolframEngine/Licensing && \
-    cp /run/secrets/mathpass /tmp/home/.WolframEngine/Licensing/mathpass
+ENV LOG_LEVEL="DEBUG"
 
-
-RUN apt-get update && apt-get install -y \
-    netcat \
-    && rm -rf /var/lib/apt/lists/*
-
-COPY ./entrypoint.sh /entrypoint.sh
+# Copy the evaluation function to the app directory
+COPY ./evaluation_function.wl /app/evaluation_function.wl

config.json

@@ -1,3 +1,3 @@
 {
-  "EvaluationFunctionName": ""
+  "EvaluationFunctionName": "boilerplate-wolfram"
 }