thinkWhere / geopython17

Flask Geospatial Microservice sample code for GeoPython 2017

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GeoPython 2017

Intro

This repo contains the accompanying code from the Build your own Geospatial Microservice using Python/Flask/PostGIS workshop thinkWhere gave at GeoPython 2017

Dependencies

Following must be available locally:

Optional

The sample app ships with a Dockerfile that allows you to run PostGIS within a Docker container. Alternatively if you have access to an existing PostGIS db you can connect the application to a new database there.

Building the Microservice

  • Create a Python Virtual Environment, using Python 3.6:
    • python -m venv ./venv
  • Activate your virtual environment and install dependencies:
    • Linux/Mac:
      • . ./venv/bin/activate
      • pip install -r requirements.txt
    • Windows (use installer because of precompiled libs):
      • .\venv\scripts\activate
      • pip install -r requirements.txt

Build and run the PostGIS Dockerfile

  • From the root of the project:
    • docker build -t geopython-db ./devops/docker
  • The image should be downloaded and build locally. Once complete you should see it listed, with
    • docker images
  • You can now run the image (this will run PostGIS in a docker container, with port 5432 mapped to localhost):
    • docker run -d -p 5432:5432 geopython-db
  • Confirm the image is running successfully:
    • docker ps

App Config (only required if not using Docker PostGIS)

If you are not using the supplied PostGIS docker container you will need to set the SQLALCHEMY_DATABASE_URI found in ./micro/config.py to point to your database, eg:

SQLALCHEMY_DATABASE_URI=postgresql://user:pass@host/your-new-database

Creating the DB

With everything now setup We use Flask-Migrate to create the database from the migrations directory. Create the database as follows:

python manage.py db upgrade

Running Locally

Finally we can run the application, as follows:

python manage.py runserver -d

Versions

You can see how we got to the version from Flask hello world to v1.0 of our microservice by checking out the tagged releases as follows:

git checkout -b version1 v0.1

It may help to run git clean to tidy up any empty dirs for clarity as you work thru the versions, eg:

git clean -fd

Useful Links

HTTP and Rest

Libraries

Ideas in practice

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Flask Geospatial Microservice sample code for GeoPython 2017


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