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A library that provides a Python interface to the HERE APIs

Project description

HerePy

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Introduction

This library provides a pure Python interface for the HERE API. It works with Python versions 3.x.

HERE provides location based services. HERE exposes a rest APIs and this library is intended to make it even easier for Python programmers to use.

Installing

You can install herepy using:

$ pip install herepy

Getting the code

The code is hosted at https://github.com/abdullahselek/HerePy

Check out the latest development version anonymously with:

$ git clone git://github.com/abdullahselek/HerePy.git
$ cd HerePy

To install dependencies, run either:

$ pip install -Ur requirements.testing.txt
$ pip install -Ur requirements.txt

To install the minimal dependencies for production use (i.e., what is installed with pip install herepy) run:

$ pip install -Ur requirements.txt

Running Tests

The test suite can be run against a single Python version which requires pip install pytest and optionally pip install pytest-cov (these are included if you have installed dependencies from requirements.testing.txt)

To run the unit tests with a single Python version:

$ py.test -v

to also run code coverage:

$ py.test --cov=herepy

To run the unit tests against a set of Python versions:

$ tox

Models

The library utilizes models to represent various data structures returned by HERE:

* herepy.GeocoderResponse
* herepy.GeocoderReverseResponse
* herepy.RoutingResponse
* herepy.GeocoderAutoCompleteResponse
* herepy.PlacesResponse
* herepy.PublicTransitResponse
* herepy.RmeResponse
* herepy.EVChargingStationsResponse
* herepy.WaypointSequenceResponse

GeocoderApi

Is the wrapper for HERE Geocoder API, to use this wrapper and all other wrappers you need an API key which you can get from HERE Developer Portal.

Initiation of GeocoderApi

import herepy

geocoderApi = herepy.GeocoderApi('api_key')

Geocoding given search text

response = geocoderApi.free_form('200 S Mathilda Sunnyvale CA')

Geocoding given search text with in given boundingbox

response = geocoderApi.address_with_boundingbox('200 S Mathilda Sunnyvale CA',
                                                [42.3952,-71.1056],
                                                [42.3312,-71.0228])

Geocoding with given address details

response = geocoderApi.address_with_details(34, 'Barbaros', 'Istanbul', 'Turkey')

Geocoding with given street and city

response = geocoderApi.street_intersection('Barbaros', 'Istanbul')

GeocoderReverseApi

Is the wrapper for HERE Geocoder Reverse API, to use this wrapper and all other wrappers you need an API key which you can get from HERE Developer Portal.

Initiation of GeocoderReverseApi

import herepy

geocoderReverseApi = herepy.GeocoderReverseApi('api_key')

Retrieving address of a given point

response = geocoderReverseApi.retrieve_addresses([42.3952, -71.1056])

RoutingApi

Initiation of RoutingApi

import herepy

routingApi = herepy.RoutingApi('api_key')

Calculate route for car

response = routingApi.car_route([11.0, 12.0],
                                [22.0, 23.0],
                                [herepy.RouteMode.car, herepy.RouteMode.fastest])

Calculate route for pedestrians

response = routingApi.pedastrian_route([11.0, 12.0],
                                       [22.0, 23.0],
                                       [herepy.RouteMode.pedestrian, herepy.RouteMode.fastest])

Calculate route between three points

response = routingApi.intermediate_route([11.0, 12.0],
                                         [15.0, 16.0],
                                         [22.0, 23.0],
                                         [herepy.RouteMode.car, herepy.RouteMode.fastest])

Route for public transport

response = routingApi.public_transport([11.0, 12.0],
                                       [15.0, 16.0],
                                       True,
                                       [herepy.RouteMode.publicTransport, herepy.RouteMode.fastest])

Calculates the fastest car route between two location

response = routingApi.location_near_motorway([11.0, 12.0],
                                             [22.0, 23.0],
                                             [herepy.RouteMode.car, herepy.RouteMode.fastest])

Calculates the fastest truck route between two location

response = routingApi.truck_route([11.0, 12.0],
                                  [22.0, 23.0],
                                  [herepy.RouteMode.truck, herepy.RouteMode.fastest])

Calculate an MxN cost matrix for M start points and N destinations

response = routingApi.matrix(
    start_waypoints=[[11.0, 12.0], [13.0, 14.0]],
    destination_waypoints=[[21.0, 22.0], [23.0, 24.0]],
    departure='2013-07-04T17:00:00+02',
    modes=[herepy.RouteMode.fastest, herepy.RouteMode.car])

Calculate route providing names instead of coordinates

response = routingApi.car_route([11.0, 12.0],
                                '200 S Mathilda Sunnyvale CA',
                                [herepy.RouteMode.car, herepy.RouteMode.fastest])

GeocoderAutoCompleteApi

Initiation of GeocoderAutoCompleteApi

import herepy

geocoderAutoCompleteApi = herepy.GeocoderAutoCompleteApi('api_key')

Request a list of suggested addresses found within a specified area

response = geocoderAutoCompleteApi.address_suggestion('High', [51.5035,-0.1616], 100)

Request a list of suggested addresses within a single country

response = geocoderAutoCompleteApi.limit_results_byaddress('Nis', 'USA')

PlacesApi

Initiation of PlacesApi

import herepy

placesApi = herepy.PlacesApi('api_key')

Request a list of nearby places based on a query string

response = placesApi.onebox_search([37.7905, -122.4107], 'restaurant')

Search list of places with a query and country parameter

response = placesApi.search_in_country([37.7905, -122.4107], 'cafe', 'USA')

Search places with in a given coordinates, radius and query

response = placesApi.places_in_circle([37.7905, -122.4107], 1000, 'cafe')

PublicTransitApi

Initiation of PublicTransitApi

import herepy

publicTransitApi = herepy.PublicTransitApi('api_key')

RmeApi

Initiation of RmeApi

import herepy

rmeApi = herepy.RmeApi('api_key')

Get information about points of a gpx file

with open('my-gpx.file') as gpx_file:
    content = gpx_file.read()
    response = rmeApi.match_route(content, ['ROAD_GEOM_FCn(*)'])

EVChargingStationsApi

Initiation of EVChargingStationsApi

import herepy

ev_charging_api = herepy.EVChargingStationsApi(app_id='app_id', app_code='app_code')

Makes a search request for charging stations within a circular area

response = ev_charging_api.get_stations_circular_search(latitude=52.516667,
                                                        longitude=13.383333,
                                                        radius=5000,
                                                        connectortypes=[EVStationConnectorTypes.small_paddle_inductive,
                                                    EVStationConnectorTypes.large_paddle_inductive])

Makes a search request for charging stations with in given bounding box

response = ev_charging_api.get_stations_bounding_box(top_left=[52.8, 11.37309],
                                                     bottom_right=[52.31, 13.2],
                                                     connectortypes=[EVStationConnectorTypes.small_paddle_inductive,
                                                    EVStationConnectorTypes.large_paddle_inductive])

Makes a search request for charging stations with in given corridor

response = ev_charging_api.get_stations_corridor(points=[52.51666, 13.38333, 52.13333, 11.61666, 53.56527, 10.00138],
                                                 connectortypes=[EVStationConnectorTypes.small_paddle_inductive,
                                                EVStationConnectorTypes.large_paddle_inductive])

Retrieves the full/updated information about a single charging station only

response = ev_charging_api.get_station_details(station_id='276u33db-b2c840878cfc409fa5a0aef858419037')

FleetTelematicsApi

Initiation of FleetTelematicsApi

import herepy

fleetTelematicsApi = herepy.FleetTelematicsApi(api_key='api_key')

Finds time-optimized waypoint sequence route

start = str.format('{0};{1},{2}', 'WiesbadenCentralStation', 50.0715, 8.2434)
intermediate_destinations = [str.format('{0};{1},{2}', 'FranfurtCentralStation', 50.1073, 8.6647),
    str.format('{0};{1},{2}', 'DarmstadtCentralStation', 49.8728, 8.6326),
    str.format('{0};{1},{2}', 'FrankfurtAirport', 50.0505, 8.5698)]
end = str.format('{0};{1},{2}', 'MainzCentralStation', 50.0021, 8.259)
modes = [herepy.RouteMode.fastest, herepy.RouteMode.car, herepy.RouteMode.traffic_enabled]
response = self._api.find_sequence(start=start,
        departure='2014-12-09T09:30:00%2b01:00',
        intermediate_destinations=intermediate_destinations,
        end=end,
        modes=modes)

To find cheaper route by picking up some additional goods along the route

modes = [herepy.RouteMode.fastest, herepy.RouteMode.car, herepy.RouteMode.traffic_enabled]
start = str.format('{0},{1};{2}:{3},value:{4}', 50.115620,
            8.631210, herepy.MultiplePickupOfferType.pickup.__str__(),
            'GRAPEFRUITS', 1000)
departure = '2016-10-14T07:30:00+02:00'
capacity = 10000
vehicle_cost = 0.29
driver_cost = 20
max_detour = 60
rest_times = 'disabled'
intermediate_destinations = [str.format('{0},{1};{2}:{3},value:{4}', 50.118578,
            8.636551, herepy.MultiplePickupOfferType.drop.__str__(),
            'APPLES', 30),
        str.format('{0},{1};{2}:{3}', 50.122540, 8.631070,
            herepy.MultiplePickupOfferType.pickup.__str__(), 'BANANAS')]
end = str.format('{1},{2}', 'MainzCentralStation', 50.132540, 8.649280)
response = self._api.find_pickups(modes=modes,
        start=start,
        departure=departure,
        capacity=capacity,
        vehicle_cost=vehicle_cost,
        driver_cost=driver_cost,
        max_detour=max_detour,
        rest_times=rest_times,
        intermediate_destinations=intermediate_destinations,
        end=end)

License

MIT License

Copyright (c) 2017 Abdullah Selek

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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