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Mastering Flask Web Development

You're reading from   Mastering Flask Web Development Build enterprise-grade, scalable Python web applications

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788995405
Length 332 pages
Edition 2nd Edition
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Authors (2):
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Jack Stouffer Jack Stouffer
Author Profile Icon Jack Stouffer
Jack Stouffer
Daniel Gaspar Daniel Gaspar
Author Profile Icon Daniel Gaspar
Daniel Gaspar
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Toc

Table of Contents (15) Chapters Close

Preface 1. Getting Started 2. Creating Models with SQLAlchemy FREE CHAPTER 3. Creating Views with Templates 4. Creating Controllers with Blueprints 5. Advanced Application Structure 6. Securing Your App 7. Using NoSQL with Flask 8. Building RESTful APIs 9. Creating Asynchronous Tasks with Celery 10. Useful Flask Extensions 11. Building Your Own Extension 12. Testing Flask Apps 13. Deploying Flask Apps 14. Other Books You May Enjoy

Setting up Docker

Your development projects normally need more then a web server application layer; you will most definitely need some kind of database system. You might be using a cache, redis, workers with Celery, a messaging queuing system, or something else. Normally, all of the systems that are needed for your application to work are collectively referred to as stack. One simple way to easily define and quickly spawn all these components is to use Docker containers. With Docker, you define all of your application components and how to install and configure them, and you can then share your stack with your team, and send it to production with the exact same specification.

You can download and install Docker from https://docs.docker.com/install/.

First, let's create a very simple Dockerfile. This file defines how to set up your application. Each line will serve as a container layer for very fast rebuilds. A very simple Dockerfile will look like the following:

FROM python:3.6.5
# Set the working directory to /app

WORKDIR /app
# Copy local contents into the container
ADD . /app
# Install all required dependencies
RUN pip install -r requirements.txt
EXPOSE 5000
CMD ["python", "main.py"]

Next, let's build out first container image. We will tag it as chapter_1 for further ease of use, as shown in the following code:

$ docker build -t chapter_1 .

Then we will run it, as shown in the following code:

$ docker run -p 5000:5000 chapter_1
# List all the running containers
$ docker container list

Docker is easy, but it's a complex tool with lots of options for configuring and deploying containers. We will look at Docker in more detail in Chapter 13, Deploying Flask Apps.

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