...
- Create a folder
- Place into this folder all your python code.
- Place into this folder a Dockerfile file (to be described below)
- Place in the folder a requirements.txt file (to be described below)
- build the Dockerfile
- command: docker build -t <new image name>:<tag> .
- e.g. docker build -t flask-sample-server:latest .
- now run your image
- docker run -it -p <host port>:<container port> --name <host name> <new image name>:<tag>
- docker run -it -p 5002:5000 --name pyt flask-sample-server
Dockerfile
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FROM python:3
FROM ubuntu:latest
MAINTAINER Rajdeep Dua "dua_rajdeep@yahoo.com"
RUN apt-get update -y
RUN apt-get install -y python-pip python-dev build-essential
COPY . /app
WORKDIR /app
RUN pip install -r requirements.txt
CMD [ "python", "./db_ws_stream.py" ] |
requirements.txt
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flask
flask_cors
mysql-connector-python==8.0.15 |
Python file
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import time
from flask import Flask, Response
from flask_cors import CORS
from connect_to_db import DealTableLoader
app = Flask(__name__)
CORS(app)
@app.route('/')
@app.route('/index')
def index():
return "Hello world"
@app.route('/streamTest')
def stream():
def eventStream():
while True:
# wait for source data to be available, then push it
yield get_message()+"\n"
return Response(eventStream(), mimetype="text/event-stream")
def get_message():
"""this could be any function that blocks until data is ready"""
time.sleep(1.0)
s = time.ctime(time.time())
return s
if __name__ == '__main__':
app.run(port=5001, threaded=True, host=('0.0.0.0'))
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