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Python Microservices Development

You're reading from   Python Microservices Development Build, test, deploy, and scale microservices in Python

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785881114
Length 340 pages
Edition 1st Edition
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Author (1):
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Tarek Ziadé Tarek Ziadé
Author Profile Icon Tarek Ziadé
Tarek Ziadé
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Table of Contents (13) Chapters Close

Preface 1. Understanding Microservices FREE CHAPTER 2. Discovering Flask 3. Coding, Testing, and Documenting - the Virtuous Cycle 4. Designing Runnerly 5. Interacting with Other Services 6. Monitoring Your Services 7. Securing Your Services 8. Bringing It All Together 9. Packaging and Running Runnerly 10. Containerized Services 11. Deploying on AWS 12. What Next?

Running Flask in Docker


To run a Flask application in Docker, we can use the base Python image.

From there, installing the app and its dependencies can be done via PIP, which is already installed in the Python image.

Assuming your project has a requirements.txt file for its pinned dependencies, and a setup.py file that installs the project, creating an image for your project can be done by instructing Docker how to use the pip command.

In the following example, we add two new instructions--the COPY command recursively copies a directory structure inside the Docker image, and the ;RUN ;command runs PIP via shell commands:

FROM python:3.6 
COPY . /app 
RUN pip install -r /app/requirements.txt 
RUN pip install /app/ 

EXPOSE 5000 
CMD runnerly-tokendealer

The 3.6 tag here will get the latest Python 3.6 image that was uploaded to the Hub.

The COPY command automatically creates the top-level app directory in the container, and copies everything from "." in it. One important detail to remember with...

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