Docker version ploting

Author: shimwell

Dockerfile

@@ -3,25 +3,32 @@
 # sudo docker build -t material_xs_plotter .
 
 # run with 
-# docker run material_xs_plotter
+# docker run --network host -t material_xs_plotter
 
 
-# build with the following command
-# sudo docker build -f Dockerfile_openmc -t openmcworkshop/openmc
 
 FROM ghcr.io/openmc-data-storage/nuclear_data_base_docker:h5_base
 
 
-# RUN pip3 install streamlit
-# RUN pip3 install plotly
-
 COPY requirements.txt .
 RUN pip install -r requirements.txt
 
+RUN pip install gunicorn==20.0.4
 
-ENV OPENMC_CROSS_SECTIONS=/tendl-2019-hdf5/cross_sections.xml
+ENV OPENMC_CROSS_SECTIONS=/TENDL-2019/cross_sections.xml
+# COPY assets assets
+COPY options.py .
 COPY app.py .
 
+ENV PORT 8080
+
 EXPOSE 8080
 
-ENTRYPOINT ["python", "app.py"]
+# Run the web service on container startup. Here we use the gunicorn
+# webserver, with one worker process and 8 threads.
+# For environments with multiple CPU cores, increase the number of workers
+# to be equal to the cores available.
+# Timeout is set to 0 to disable the timeouts of the workers to allow Cloud Run
+# to handle instance scaling. For more details see
+# https://cloud.google.com/run/docs/quickstarts/build-and-deploy/python
+CMD exec gunicorn --bind :$PORT --workers 1 --threads 8 --timeout 0 app:server

app.py

@@ -11,6 +11,10 @@
 
 app = dash.Dash(__name__)
 
+
+server = app.server
+
+
 app.layout = html.Div([
     html.Div([
         dcc.Dropdown(