A fork of https://github.com/ericcgu/Flask_Dash_Container
Added extra items to requirements.txt in order to get this to correctly build and run. Demos a sample StockTicker app (renamed app.py) which originated on Jose Portilla's Dash course in Udemy.
This is essentially a fork of the Stock Ticker with two apps now. Second one is Eric's simple graph.
Added second container for the app1 called "dash1" in the docker-compose.yml.
dash1:
container_name: dash1
restart: always
build: ./dash1
ports:
- "8500:8500"
command: gunicorn -w 1 -b :8500 app1:server
A Nginx and Python Flask Container used for bootstraping continuous deployment of Dash / Plot.ly Applications. Requires :
Dash Web Applications combine the full power and best features of Plot.ly, Python, React.js and Flask.
/bin/bash run_docker.sh
- It will kill all running docker processes.
- Will start all required containers in background
Requires Docker and Docker Compose
Launch micro-T2.micro Ubuntu image.
Get ssh keys
SSH in and
Install
- git
- docker
- docker-compose
git clone (this repo) in a directory of your choice (/home/ubuntu/your_playground)
Once successfullly cloned
There will be a run_docker.sh file where you cloned into.
Run it as such:
/etc/bash run_docker.sh
From a web browser:
hit your ec2_public_address:8000
add 8000 for the port
The app is a stock plotter using Dash. It grabs price info from IEX using pandas_datareader. The dropdown stock symbors are populated by reading in the NASDAQ ticker symbols from a file in the same directory.