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Python client for requests to openrouteservice API services

Project description

Build status Coveralls coverage Documentation Status PyPI version Conda Build Conda Version MyBinder

Quickstart

Description

The openrouteservice library gives you painless access to the openrouteservice (ORS) routing API’s. It performs requests against our API’s for

For further details, please visit:

We also have a repo with a few useful examples here.

For support, please ask our forum.

By using this library, you agree to the ORS terms and conditions.

Requirements

openrouteservice-py is tested against CPython 3.7, 3.8 and 3.9, and PyPy3.

For setting up a testing environment, install requirements-dev.txt:

pip install -r requirements-dev.txt

Installation

To install from PyPI, simply use pip:

pip install openrouteservice

To install the latest and greatest from source:

pip install git+git://github.com/GIScience/openrouteservice-py@development

Testing

If you want to run the unit tests, see Requirements. cd to the library directory and run:

nosetests -v

-v flag for verbose output (recommended).

Usage

For an interactive Jupyter notebook have a look on mybinder.org.

Basic example

import openrouteservice

coords = ((8.34234,48.23424),(8.34423,48.26424))

client = openrouteservice.Client(key='') # Specify your personal API key
routes = client.directions(coords)

print(routes)

For convenience, all request performing module methods are wrapped inside the client class. This has the disadvantage, that your IDE can’t auto-show all positional and optional arguments for the different methods. And there are a lot!

The slightly more verbose alternative, preserving your IDE’s smart functions, is

import openrouteservice
from openrouteservice.directions import directions

    coords = ((8.34234,48.23424),(8.34423,48.26424))

    client = openrouteservice.Client(key='') # Specify your personal API key
    routes = directions(client, coords) # Now it shows you all arguments for .directions

Optimize route

If you want to optimize the order of multiple waypoints in a simple Traveling Salesman Problem, you can pass a optimize_waypoints parameter:

import openrouteservice

coords = ((8.34234,48.23424),(8.34423,48.26424), (8.34523,48.24424), (8.41423,48.21424))

client = openrouteservice.Client(key='') # Specify your personal API key
routes = client.directions(coords, profile='cycling-regular', optimize_waypoints=True)

print(routes)

Decode Polyline

By default, the directions API returns encoded polylines. To decode to a dict, which is a GeoJSON geometry object, simply do

import openrouteservice
from openrouteservice import convert

coords = ((8.34234,48.23424),(8.34423,48.26424))

client = openrouteservice.Client(key='') # Specify your personal API key

# decode_polyline needs the geometry only
geometry = client.directions(coords)['routes'][0]['geometry']

decoded = convert.decode_polyline(geometry)

print(decoded)

Dry run

Although errors in query creation should be handled quite decently, you can do a dry run to print the request and its parameters:

import openrouteservice

coords = ((8.34234,48.23424),(8.34423,48.26424))

client = openrouteservice.Client()
client.directions(coords, dry_run='true')

Local ORS instance

If you’re hosting your own ORS instance, you can alter the base_url parameter to fit your own:

import openrouteservice

coords = ((8.34234,48.23424),(8.34423,48.26424))

# key can be omitted for local host
client = openrouteservice.Client(base_url='http://localhost/ors')

# Only works if you didn't change the ORS endpoints manually
routes = client.directions(coords)

# If you did change the ORS endpoints for some reason
# you'll have to pass url and required parameters explicitly:
routes = client.request(
  url='/new_url',
  post_json={
      'coordinates': coords,
      'profile': 'driving-car',
      'format': 'geojson'
  })

Support

For general support and questions, contact our forum.

For issues/bugs/enhancement suggestions, please use https://github.com/GIScience/openrouteservice-py/issues.

Acknowledgements

This library is based on the very elegant codebase from googlemaps.

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