Update Dockerfile and docker-compose.yaml. By default, container can use cifs to map network drives so no need to install, and added bash command to docker compose file to run both jupyterlab and dash board simultanously

Dockerfile

@@ -9,6 +9,8 @@ ENV ENV_NAME=apog_penv
 # Set the working directory
 WORKDIR /acsmdc
 
+#RUN apt-get update && apt-get install -y cifs-utils
+
 # Use mamba if available for faster installation
 RUN conda install -y -n base -c conda-forge mamba && \
     mamba create -y -n $ENV_NAME -c conda-forge -c defaults python=3.11 \
@@ -24,6 +26,7 @@ ENV PATH=/opt/conda/envs/$ENV_NAME/bin:$PATH
 
 # Create necessary directories for VOLUME
 RUN mkdir -p /acsmdc/data /acsmdc/figures /acsmdc/pipelines/params
+#RUN mkdir -p /mnt/lac_ord
 
 # Copy project files, excluding certain directories (handled via .dockerignore)
 COPY . /acsmdc
@@ -43,4 +46,5 @@ RUN pip install --no-cache-dir jupyterlab
 #RUN pip install --no-cache-dir matplotlib scikit-learn
 
 # If you want to set JupyterLab as the default command
-CMD ["jupyter", "lab", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root", "--NotebookApp.token='my-token'"]
+#CMD ["jupyter", "lab", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root", "--NotebookApp.token='my-token'"]
+CMD ["/bin/bash"]

docker-compose.yaml

@@ -1,5 +1,5 @@
 services:
-  data_processor:
+  datachain_processor:
     image: datachain_processor
     container_name: datachain_processor
     restart: unless-stopped
@@ -13,7 +13,11 @@ services:
       - ./figures:/acsmdc/figures
       - ./pipelines/params:/acsmdc/pipelines/params
       - lac_ord:/mnt/network/lac_ord:rw
-    command: ["jupyter", "lab", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root", "--NotebookApp.token='my-token'"]
+    command: >
+      bash -c "
+      jupyter lab --ip=0.0.0.0 --port=8888 --no-browser --allow-root --NotebookApp.token='my-token' & 
+      python /acsmdc/app/data_flagging_app.py
+      " 
 
 volumes:
   lac_ord: