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
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.
$ ./setup.py install
setup.py should fetch all required Python dependencies, which are
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