├── .gitignore
├── Dockerfile
├── app.py
├── docker-compose.yml
├── readme.md
└── requirements.txt


/.gitignore:
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1 | venv/*
2 | .idea/*
3 | **__pycache__**


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/Dockerfile:
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 1 | FROM python:3.8-slim-buster
 2 | 
 3 | # Create a working directory.
 4 | RUN mkdir wd
 5 | WORKDIR wd
 6 | 
 7 | # Install Python dependencies.
 8 | COPY requirements.txt .
 9 | RUN pip3 install -r requirements.txt
10 | 
11 | # Copy the rest of the codebase into the image
12 | COPY . ./
13 | 
14 | # Finally, run gunicorn.
15 | CMD [ "gunicorn", "--workers=5", "--threads=1", "-b 0.0.0.0:8000", "app:server"]
16 | 


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/app.py:
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 1 | import dash
 2 | import dash_html_components as html
 3 | 
 4 | from flask import Flask
 5 | 
 6 | server = Flask(__name__)
 7 | app = dash.Dash(server=server)
 8 | app.layout = html.Div("Hello world.")
 9 | 
10 | if __name__ == '__main__':
11 |     app.run_server()
12 | 


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/docker-compose.yml:
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 1 | # docker-compose.yml
 2 | version: '3'
 3 | networks:
 4 |   myapp-network:
 5 | services:
 6 |   # main application
 7 |   myapp:
 8 |     container_name: myapp
 9 |     build:
10 |       .
11 |     ports:
12 |       - "8000:8000"
13 | 


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/readme.md:
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 1 | # Dash docker mwe
 2 | 
 3 | This repository holds a minimal working example of how to run a Plotly Dash app via docker.
 4 | 
 5 | ## Running the example
 6 | 
 7 | The example can be run with a single command,
 8 | 
 9 |     docker-compose up
10 | 
11 | Subsequently, the app can be accessed at,
12 | 
13 | http://localhost:8000/
14 | 


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/requirements.txt:
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1 | dash==1.12.0
2 | gunicorn
3 | flask
4 | 


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