This is a demo Flask app showcasing an API that returns GeoJSON from attribute and simple spatial queries. It works on both Python 2 and 3.

If I have more time, I'll probably:

• add some functionality to limit the size of returned requests, or add pagination.
• add more spatial functionality, like filtering listing requests by custom AOI polygons.
• add more tests for 100% test coverage.
• add more backend scripts, and enhance the existing import_listings.py.

ode uses PostgreSQL/PostGIS as its backend, so it's important to have that installed on the system. Configuration is pretty minimal. For demo and testing purposes, I use the postgres user and create a database called listings.

From source:

$ ./setup.py install

setup.py should fetch all required Python dependencies, which are specified in requirements.txt:

Flask==0.10.1
GeoAlchemy2==0.2.5
itsdangerous==0.24
Jinja2==2.8
MarkupSafe==0.23
psycopg2==2.6.1
SQLAlchemy==1.0.8
Werkzeug==0.10.4

usage: import_listings.py [-h] [--engine_url ENGINE_URL] [--append] csv

This script imports listing information from a csv file and inserts the data
into a spatially-enabled listings table within a PostgreSQL database.

positional arguments:
  csv                   path to the listing csv file

optional arguments:
  -h, --help            show this help message and exit
  --engine_url ENGINE_URL
                        string that indicates database dialect and connection
                        arguments
  --append              append listing data to an existing table

.
|-- ez_setup.py
|-- ode
|   |-- data
|   |   `-- listings.csv
|   |-- __init__.py
|   `-- models.py
|-- README.rst
|-- requirements.txt
|-- scripts
|   `-- import_listings.py
|-- setup.py
`-- tests
    `-- test_get_request.py