Travel Time Python SDK

Travel Time Python SDK helps users find locations by journey time rather than using ‘as the crow flies’ distance.
Time-based searching gives users more opportunities for personalisation and delivers a more relevant search.

Install Travel Time Python SDK in a virtualenv using pip. virtualenv is a tool to create isolated Python environments.

virtualenv allows to install Travel Time Python SDK without needing system install permissions, and without clashing with the installed system dependencies.

pip3 install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install traveltimepy

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install traveltimepy

In order to authenticate with Travel Time API, you will have to supply the Application Id and Api Key.

• app_id: str - Application Id
• api_key: str - Api Key
• limit_per_host: int - Number of simultaneous connections to one host.
• rate_limit: int - Number of searches which can be made in a time window.
• time_window: int - Duration, in seconds, of the time period in which to limit the rate.
• retry_attempts: int - Number of retries for failed requests.
• host: str - TravelTime host, default value is api.traveltimeapp.com.
• timeout: int - Maximum session time until timeout. Default value is 300 (5 minutes).

from traveltimepy import TravelTimeSdk

sdk = TravelTimeSdk(app_id="YOUR_APP_ID", api_key="YOUR_APP_KEY")

Given origin coordinates, find shapes of zones reachable within corresponding travel time.

• coordinates: List[Coordinates] - Isochrones coordinates.
• arrival_time: datetime - Be at arrival location at no later than given time. Cannot be specified with departure_time.
• departure_time: datetime - Leave departure location at no earlier than given time. Cannot be specified with arrival_time.
• travel_time: int - Maximum journey time (in seconds). Maximum value is 14400. Default value is 3600
• transportation: Union - Transportation mode and related parameters.
• search_range: Range - When enabled, range adds an arrival window to the arrival time, and results are returned for any journeys that arrive during this window.
• level_of_detail: LevelOfDetail - When enabled, allows the user to specify how detailed the isochrones should be.
• remove_water_bodies: bool - if set to true (default) - returned shape will not cover large nearby water bodies. False - returned shape may cover nearby water bodies like large lakes, wide rivers and seas.
• snapping: Snapping - Adjusts the process of looking up the nearest roads from the departure / arrival points.

• results: List[TimeMapResult] - The list of isochrone shapes.

import asyncio
from datetime import datetime

from traveltimepy import Driving, Coordinates, TravelTimeSdk


async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")

    results = await sdk.time_map_async(
        coordinates=[Coordinates(lat=51.507609, lng=-0.128315), Coordinates(lat=51.517609, lng=-0.138315)],
        arrival_time=datetime.now(),
        transportation=Driving()
    )
    print(results)


asyncio.run(main())

• results: FeatureCollection - The list of Features.

import asyncio
from datetime import datetime

from traveltimepy import Driving, Coordinates, TravelTimeSdk


async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")

    results = await sdk.time_map_geojson_async(
        coordinates=[Coordinates(lat=51.507609, lng=-0.128315), Coordinates(lat=51.517609, lng=-0.138315)],
        arrival_time=datetime.now(),
        transportation=Driving()
    )
    print(results)


asyncio.run(main())

• results: TimeMapWKTResponse - TimeMapWktResponse with isochrone shapes.

import asyncio
from datetime import datetime

from traveltimepy import Driving, Coordinates, TravelTimeSdk


async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")

    response = await sdk.time_map_wkt_async(
        coordinates=[Coordinates(lat=51.507609, lng=-0.128315), Coordinates(lat=51.517609, lng=-0.138315)],
        arrival_time=datetime.now(),
        transportation=Driving()
    )
    response.pretty_print() # for a custom formatted response 
    
    print(response) # default Python print

    
asyncio.run(main())

• results: TimeMapWKTResponse - TimeMapWktResponse with isochrone shapes (no holes).

import asyncio
from datetime import datetime

from traveltimepy import Driving, Coordinates, TravelTimeSdk


async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")

    response = await sdk.time_map_wkt_no_holes_async(
        coordinates=[Coordinates(lat=51.507609, lng=-0.128315), Coordinates(lat=51.517609, lng=-0.138315)],
        arrival_time=datetime.now(),
        transportation=Driving()
    )
    response.pretty_print() # for a custom formatted response 

    print(response) # default Python print


asyncio.run(main())

Given origin coordinates, find intersections of specified shapes.

• coordinates: List[Coordinates] - Intersection coordinates. The size of list cannot be more than 10.
• arrival_time: datetime - Be at arrival location at no later than given time. Cannot be specified with departure_time.
• departure_time: datetime - Leave departure location at no earlier than given time. Cannot be specified with arrival_time.
• travel_time: int - Maximum journey time (in seconds). Maximum value is 14400. Default value is 3600
• transportation: Union - Transportation mode and related parameters.
• search_range: Range - When enabled, range adds an arrival window to the arrival time, and results are returned for any journeys that arrive during this window.
• snapping: Snapping - Adjusts the process of looking up the nearest roads from the departure / arrival points.

• results: List[TimeMapResult] - The list of isochrone shapes.

import asyncio
from datetime import datetime

from traveltimepy import Driving, Coordinates, TravelTimeSdk


async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")
    results = await sdk.intersection_async(
        coordinates=[Coordinates(lat=51.507609, lng=-0.128315), Coordinates(lat=51.517609, lng=-0.138315)],
        arrival_time=datetime.now(),
        transportation=Driving()
    )

    print(results)


asyncio.run(main())

Given origin coordinates, find unions of specified shapes.

Finds the union of specified shapes.

• coordinates: List[Coordinates] - Union coordinates. The size of list cannot be more than 10.
• arrival_time: datetime - Be at arrival location at no later than given time. Cannot be specified with departure_time.
• departure_time: datetime - Leave departure location at no earlier than given time. Cannot be specified with arrival_time.
• travel_time: int - Maximum journey time (in seconds). Maximum value is 14400. Default value is 3600
• transportation: Union - Transportation mode and related parameters.
• search_range: Range - When enabled, range adds an arrival window to the arrival time, and results are returned for any journeys that arrive during this window.
• snapping: Snapping - Adjusts the process of looking up the nearest roads from the departure / arrival points.

• results: List[TimeMapResult] - The list of isochrone shapes.

import asyncio
from datetime import datetime

from traveltimepy import Driving, Coordinates, TravelTimeSdk


async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")
    results = await sdk.union_async(
        coordinates=[Coordinates(lat=51.507609, lng=-0.128315), Coordinates(lat=51.517609, lng=-0.138315)],
        arrival_time=datetime.now(),
        transportation=Driving()
    )

    print(results)


asyncio.run(main())

A very fast version of time_map(). However, the request parameters are much more limited.

• coordinates: List[Coordinates] - Isochrones coordinates.
• [transportation]: Transportation - Transportation mode and related parameters.
• travel_time: int - Maximum journey time (in seconds). Maximum value is 10800. Default value is 3600.
• one_to_many: boolean - returns the reachable area for journeys arriving at the chosen arrival location if false, returns the reachable area for journeys departing from the chosen departure location if true.
• level_of_detail: LevelOfDetail - When enabled, allows the user to specify how detailed the isochrones should be.
• snapping: Snapping - Adjusts the process of looking up the nearest roads from the departure / arrival points.

• results: List[TimeMapResult] - The list of isochrone shapes.

import asyncio

from traveltimepy import Coordinates, TravelTimeSdk
from traveltimepy.dto.requests.time_map_fast import Transportation

async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")

    results = await sdk.time_map_fast_async(
        coordinates=[Coordinates(lat=51.507609, lng=-0.128315), Coordinates(lat=51.517609, lng=-0.138315)],
        transportation=Transportation(type="driving+ferry"),
        travel_time=900
    )

    print(results)

asyncio.run(main())

• results: FeatureCollection - The list of Features.

import asyncio

from traveltimepy import Coordinates, TravelTimeSdk
from traveltimepy.dto.requests.time_map_fast import Transportation

async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")

    results = await sdk.time_map_fast_geojson_async(
        coordinates=[Coordinates(lat=51.507609, lng=-0.128315), Coordinates(lat=51.517609, lng=-0.138315)],
        transportation=Transportation(type="driving+ferry"),
        travel_time=900
    )

    print(results)

asyncio.run(main())

• results: TimeMapWKTResponse - TimeMapWktResponse with isochrone shapes.

import asyncio

from traveltimepy import Coordinates, TravelTimeSdk
from traveltimepy.dto.requests.time_map_fast import Transportation

async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")

    results = await sdk.time_map_fast_wkt_async(
        coordinates=[Coordinates(lat=51.507609, lng=-0.128315), Coordinates(lat=51.517609, lng=-0.138315)],
        transportation=Transportation(type="driving+ferry"),
        travel_time=900
    )

    print(results)

asyncio.run(main())

• results: TimeMapWKTResponse - TimeMapWktResponse with isochrone shapes (no holes).

import asyncio

from traveltimepy import Coordinates, TravelTimeSdk
from traveltimepy.dto.requests.time_map_fast import Transportation

async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")

    results = await sdk.time_map_fast_wkt_no_holes_async(
        coordinates=[Coordinates(lat=51.507609, lng=-0.128315), Coordinates(lat=51.517609, lng=-0.138315)],
        transportation=Transportation(type="driving+ferry"),
        travel_time=900
    )

    print(results)

asyncio.run(main())

Given origin coordinates, find shapes of zones reachable within corresponding travel distance.

• coordinates: List[Coordinates] - Coordinates of the arrival or departure location.
• arrival_time: datetime - Be at arrival location at no later than given time. Cannot be specified with departure_time.
• departure_time: datetime - Leave departure location at no earlier than given time. Cannot be specified with arrival_time.
• travel_distance: int - Maximum journey distance (in meters). Maximum value is 800000 (800km). Minimum value is 75. Default value is 900.
• transportation: Union - Transportation mode and related parameters.
• level_of_detail: LevelOfDetail - When enabled, allows the user to specify how detailed the isochrones should be.
• snapping: Snapping - Adjusts the process of looking up the nearest roads from the departure / arrival points.
• no_holes: No holes - Enable to remove holes from returned polygons.

• results: List[TimeMapResult] - The list of isochrone shapes

import asyncio
from datetime import datetime

from traveltimepy import Driving, Coordinates, TravelTimeSdk


async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")

    results = await sdk.distance_map_async(
        coordinates=[Coordinates(lat=51.507609, lng=-0.128315), Coordinates(lat=51.517609, lng=-0.138315)],
        arrival_time=datetime.now(),
        transportation=Driving()
    )
    print(results)


asyncio.run(main())

Given origin and destination points filter out points that cannot be reached within specified time limit. Find out travel times, distances and costs between an origin and up to 2,000 destination points.

• locations: List[Locations] - All locations. Location ids must be unique.
• search_ids: Dict[str, List[str]] - Search ids from a target location to destinations. You can define up to 2000 destinations
• arrival_time: datetime - Be at arrival location at no later than given time. Cannot be specified with departure_time.
• departure_time: datetime - Leave departure location at no earlier than given time. Cannot be specified with arrival_time.
• transportation: Union - Transportation mode and related parameters.
• travel_time: int - Maximum journey time (in seconds). Maximum value is 14400. Default value is 3600.
• properties: List[Property] - Properties to be returned about the points. Default value is travel_time.
• range: FullRange - When enabled, range adds an arrival window to the arrival time, and results are returned for any journeys that arrive during this window.
• snapping: Snapping - Adjusts the process of looking up the nearest roads from the departure / arrival points.
• snapping: Snapping - Adjusts the process of looking up the nearest roads from the departure / arrival points.

• results: List[TimeFilterResult] - The results list of reachable and unreachable locations.

import asyncio
from datetime import datetime

from traveltimepy import Location, Coordinates, PublicTransport, Property, FullRange, TravelTimeSdk


async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")

    locations = [
        Location(id="London center", coords=Coordinates(lat=51.508930, lng=-0.131387)),
        Location(id="Hyde Park", coords=Coordinates(lat=51.508824, lng=-0.167093)),
        Location(id="ZSL London Zoo", coords=Coordinates(lat=51.536067, lng=-0.153596))
    ]

    results = await sdk.time_filter_async(
        locations=locations,
        search_ids={
            "London center": ["Hyde Park", "ZSL London Zoo"],
            "ZSL London Zoo": ["Hyde Park", "London center"],
        },
        departure_time=datetime.now(),
        travel_time=3600,
        transportation=PublicTransport(type="bus"),
        properties=[Property.TRAVEL_TIME],
        range=FullRange(enabled=True, max_results=3, width=600)
    )

    print(results)


asyncio.run(main())

A very fast version of time_filter(). However, the request parameters are much more limited.

• locations: List[Locations] - All locations. Location ids must be unique.
• search_ids: Dict[str, List[str]] - Searches from a target location to destinations. You can define up to 100,000 destinations
• [transportation]: Transportation - Transportation mode and related parameters.
• travel_time: int - Maximum journey time (in seconds). Maximum value is 10800. Default value is 3600.
• properties: List[Property] - Properties to be returned about the points. Default value is travel_time.
• one_to_many: boolean - if one_to_many is equal to true, then it'll be a forward search (one to many matrix), false - backward search (many to one matrix). Default value is True.
• snapping: Snapping - Adjusts the process of looking up the nearest roads from the departure / arrival points.

• results: List[TimeFilterFastResult] - The results list of reachable and unreachable locations.

import asyncio

from traveltimepy import Location, Coordinates, Transportation, TravelTimeSdk

async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")
    
    locations = [
        Location(id="London center", coords=Coordinates(lat=51.508930, lng=-0.131387)),
        Location(id="Hyde Park", coords=Coordinates(lat=51.508824, lng=-0.167093)),
        Location(id="ZSL London Zoo", coords=Coordinates(lat=51.536067, lng=-0.153596))
    ]
    
    results = await sdk.time_filter_fast_async(
        locations=locations,
        search_ids={
            "London center": ["Hyde Park", "ZSL London Zoo"],
            "ZSL London Zoo": ["Hyde Park", "London center"],
        },
        transportation=Transportation(type="public_transport"),
        one_to_many=False
    )
    
    print(results)
    
asyncio.run(main())

A fast version of time filter communicating using protocol buffers.

The request parameters are much more limited and only travel time is returned. In addition, the results are only approximately correct (95% of the results are guaranteed to be within 5% of the routes returned by regular time filter). This inflexibility comes with a benefit of faster response times (Over 5x faster compared to regular time filter) and larger limits on the amount of destination points.

• origin: Coordinates - Origin point.
• destinations: List[Coordinates] - Destination points. Cannot be more than 200,000.
• transportation: ProtoTransportation - Transportation type.
• travel_time: int - Time limit. Maximum value is 7200.
• country: ProtoCountry - Return the results that are within the specified country.
• one_to_many: boolean - if one_to_many is equal to true, then it'll be a forward search (one to many matrix), false - backward search (many to one matrix). Default value is True.
• properties: List[PropertyProto] - specifies which extra properties should be calculated in the response.

• results: TimeFilterProtoResponse - The response contains:
  • list of travel times, where each position denotes either a travel time (in seconds) of a journey, or if travel time is negative, that the journey from the origin to the destination point is impossible.
  • (optional) list of distances where each position denotes distance (in meters) to the specified location.

import asyncio
from traveltimepy import ProtoCountry, Coordinates, ProtoTransportation, TravelTimeSdk, PropertyProto

async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")
    travel_times = await sdk.time_filter_proto_async(
        origin=Coordinates(lat=51.425709, lng=-0.122061),
        destinations=[
            Coordinates(lat=51.348605, lng=-0.314783),
            Coordinates(lat=51.337205, lng=-0.315793)
        ],
        transportation=ProtoTransportation.DRIVING_FERRY,
        travel_time=7200,
        country=ProtoCountry.UNITED_KINGDOM,
        properties=[PropertyProto.DISTANCE],
    )
    
    print(travel_times)

asyncio.run(main())

Returns routing information between source and destinations.

• locations: List[Locations] - All locations. Location ids must be unique.
• search_ids: Dict[str, List[str]] - Searches from a target location to destinations.
• arrival_time: datetime - Be at arrival location at no later than given time. Cannot be specified with departure_time.
• departure_time: datetime - Leave departure location at no earlier than given time. Cannot be specified with arrival_time.
• transportation: Union - Transportation mode and related parameters.
• properties: List[Property] - Properties to be returned about the locations. Default value is travel_time.
• range: FullRange - When enabled, range adds an arrival window to the arrival time, and results are returned for any journeys that arrive during this window.
• snapping: Snapping - Adjusts the process of looking up the nearest roads from the departure / arrival points.

• results: List[RoutesResult] - The results list of routes.

import asyncio
from datetime import datetime

from traveltimepy import Location, Coordinates, PublicTransport, TravelTimeSdk

async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")
    
    locations = [
        Location(id="London center", coords=Coordinates(lat=51.508930, lng=-0.131387)),
        Location(id="Hyde Park", coords=Coordinates(lat=51.508824, lng=-0.167093)),
        Location(id="ZSL London Zoo", coords=Coordinates(lat=51.536067, lng=-0.153596))
    ]

    results = await sdk.routes_async(
        locations=locations,
        search_ids={
            "London center": ["Hyde Park", "ZSL London Zoo"],
            "ZSL London Zoo": ["Hyde Park", "London center"],
        },
        transportation=PublicTransport(),
        departure_time=datetime.now()
    )
    print(results)

asyncio.run(main())

Match a query string to geographic coordinates.

• query: str - A query to geocode. Can be an address, a postcode or a venue.
• within_countries: List[str] - Only return the results that are within the specified country.
• limit: int - Expected integer between 1 and 50. Limits amount of results returned to specified number.
• format_name: bool - Format the name field of the geocoding search response to a well formatted, human-readable address of the location.
• format_exclude_country: bool - Exclude the country from the formatted name field.
• bounds: Rectangle - Used to limit the results to a bounding box.

• Matched locations in geojson format

import asyncio
from traveltimepy import TravelTimeSdk

async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")
    results = await sdk.geocoding_async(query="Parliament square", limit=30)
    print(results.features)

asyncio.run(main())

Match a latitude, longitude pair to an address.

• lat: float - Latitude
• lng: float - Longitude

• Matched locations in a geojson format

import asyncio
from traveltimepy import TravelTimeSdk

async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")
    results = await sdk.geocoding_reverse_async(lat=51.507281, lng=-0.132120)
    print(results.features)

asyncio.run(main())

Find reachable postcodes from origin (or to destination) and get statistics about such postcodes. Currently only supports United Kingdom.

• coordinates: List[Coordinates] - Location coordinates.
• arrival_time: datetime - Be at arrival location at no later than given time. Cannot be specified with departure_time.
• departure_time: datetime - Leave departure location at no earlier than given time. Cannot be specified with arrival_time.
• travel_time: int - Maximum journey time (in seconds). Maximum value is 14400. Default value is 1800
• transportation: Union - Transportation mode and related parameters.
• properties: List[Property] - Properties to be returned about the postcodes. Default value is travel_time.
• range: FullRange - When enabled, range adds an arrival window to the arrival time, and results are returned for any journeys that arrive during this window.

• results: List[PostcodesResult] - The results list of postcodes.

import asyncio
from datetime import datetime

from traveltimepy import Coordinates, PublicTransport, TravelTimeSdk

async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")
    results = await sdk.postcodes_async(
        coordinates=[Coordinates(lat=51.507609, lng=-0.128315)],
        departure_time=datetime.now(),
        transportation=PublicTransport()
    )
    
    print(results)

asyncio.run(main())

Find districts that have a certain coverage from origin (or to destination) and get statistics about postcodes within such districts. Currently only supports United Kingdom.

• coordinates: List[Coordinates] - Location coordinates.
• arrival_time: datetime - Be at arrival location at no later than given time. Cannot be specified with departure_time.
• departure_time: datetime - Leave departure location at no earlier than given time. Cannot be specified with arrival_time.
• travel_time: int - Maximum journey time (in seconds). Maximum value is 14400. Default value is 1800
• transportation: Union - Transportation mode and related parameters.
• reachable_postcodes_threshold: float - A number between 0.0 and 1.0. Default value is 0.1. For example, if 0.5 is used, only districts that have at least 50% postcodes that can be reached within the given travel_time will be included in the response. 0 will return districts that have at least a single reachable postcode.
• properties: List[Property] - Properties to be returned about the districts. Default value is travel_time_all.
• range: FullRange - When enabled, range adds an arrival window to the arrival time, and results are returned for any journeys that arrive during this window.

• results: List[DistrictsResult] - The results list of districts.

import asyncio
from datetime import datetime

from traveltimepy import Coordinates, PublicTransport, TravelTimeSdk

async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")
    results = await sdk.postcodes_districts_async(
        coordinates=[Coordinates(lat=51.507609, lng=-0.128315)],
        departure_time=datetime.now(),
        transportation=PublicTransport()
    )
    
    print(results)
    
asyncio.run(main())

Find sectors that have a certain coverage from origin (or to destination) and get statistics about postcodes within such sectors. Currently only supports United Kingdom.

• coordinates: List[Coordinates] - Location coordinates.
• arrival_time: datetime - Be at arrival location at no later than given time. Cannot be specified with departure_time.
• departure_time: datetime - Leave departure location at no earlier than given time. Cannot be specified with arrival_time.
• travel_time: int - Maximum journey time (in seconds). Maximum value is 14400. Default value is 1800
• transportation: Union - Transportation mode and related parameters.
• reachable_postcodes_threshold: float - A number between 0.0 and 1.0. Default value is 0.1. For example, if 0.5 is used, only sectors that have at least 50% postcodes that can be reached within the given travel_time will be included in the response. 0 will return sectors that have at least a single reachable postcode.
• properties: List[Property] - Properties to be returned about the sectors. Default value is travel_time_all.
• range: FullRange - When enabled, range adds an arrival window to the arrival time, and results are returned for any journeys that arrive during this window.

• results: List[SectorsResult] - The results list of postcode sectors.

import asyncio
from datetime import datetime

from traveltimepy import Coordinates, PublicTransport, TravelTimeSdk, ZonesProperty

async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")
    results = await sdk.postcodes_sectors_async(
        coordinates=[Coordinates(lat=51.507609, lng=-0.128315)],
        departure_time=datetime.now(),
        transportation=PublicTransport(),
        properties=[ZonesProperty.TRAVEL_TIME_REACHABLE, ZonesProperty.TRAVEL_TIME_ALL]
    )
    
    print(results)
asyncio.run(main())

Returns information about currently supported countries.

It is useful when you have an application that can do searches in any country that we support, you can use Supported Locations to get the map name for a certain point and then use this endpoint to check what features are available for that map. That way you could show fares for routes in the maps that support it.

• maps: List[Map]
• name - An internal map id. The first two characters usually correspond to the ISO 3166-2 standard (e.g th, ie) sometimes followed by additional characters (e.g ca_pst, us_pst). To get features of a specific map, use the map info endpoint.
• features - Features that are supported in the specified map

import asyncio
from traveltimepy import TravelTimeSdk

async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")
    results = await sdk.map_info_async()
    print(results)

asyncio.run(main())

Find out what points are supported by our api. The returned map name for a point can be used to determine what features are supported.

• locations: List[Location] - Each location requires an id and lat/lng values

• locations: List[SupportedLocation]
• id - Location id that you specified in the request.
• map_name - An internal map id. The first two characters usually correspond to the ISO 3166-2 standard (e.g th, ie) sometimes followed by additional characters (e.g ca_pst, us_pst). To get features of a specific map, use the map info endpoint.
• additional_map_names - In case the location is in more than one map, other map ids are listed here.
• unsupported_locations: List[str] - List that contains ids of locations that are unsupported.

import asyncio
from traveltimepy import Location, Coordinates, TravelTimeSdk

async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")
    
    locations = [
        Location(id="Kaunas", coords=Coordinates(lat=54.900008, lng=23.957734)),
        Location(id="London", coords=Coordinates(lat=51.506756, lng=-0.12805)),
        Location(id="Bangkok", coords=Coordinates(lat=13.761866, lng=100.544818)),
        Location(id="Lisbon", coords=Coordinates(lat=38.721869, lng=-9.138549)),
    ]
    
    results = await sdk.supported_locations_async(locations)
    
    print(results.locations)
    print(results.unsupported_locations)

asyncio.run(main())

In transportation.py you can find all implemented transportation types, their sub-parameters and their default values.

These examples don't apply to proto / fast endpoints. For more examples you can always refer to Unit Tests

from traveltimepy import Driving

transportation=Driving()
transportation=Driving(disable_border_crossing = True)

from traveltimepy import Walking 

transportation=Walking()

from traveltimepy import Cycling 

transportation=Cycling()

from traveltimepy import Ferry 

transportation=Ferry()
transportation=Ferry(type="cycling+ferry")
transportation=Ferry(type="driving+ferry")
transportation=Ferry(type="cycling+ferry", boarding_time = 300)

from traveltimepy import DrivingTrain, MaxChanges

transportation=DrivingTrain()

transportation=DrivingTrain(
  pt_change_delay = 300, 
  driving_time_to_station=1800, 
  parking_time=800,
  walking_time=500,
  max_changes=MaxChanges(enabled=True, limit=3)
)

from traveltimepy import PublicTransport, MaxChanges

transportation=PublicTransport() # type="public_transport" - any public transport
transportation=PublicTransport(type="train")
transportation=PublicTransport(type="bus")
transportation=PublicTransport(type="coach")

transportation=PublicTransport(
  pt_change_delay = 300, 
  walking_time=500,
  max_changes=MaxChanges(enabled=True, limit=3)
)

from traveltimepy import CyclingPublicTransport, MaxChanges

transportation=CyclingPublicTransport()

transportation=CyclingPublicTransport(
  walking_time=500,
  pt_change_delay = 300,
  cycling_time_to_station=300,
  parking_time=800,
  boarding_time=300,
  max_changes=MaxChanges(enabled=True, limit=3)
)

level_of_detail can be used to specify how detailed the isochrone result should be.

For a more detailed description of how to use this parameter, you can refer to our API Docs

from traveltimepy import LevelOfDetail

# scale_type "simple"
level_of_detail=LevelOfDetail(scale_type="simple", level="lowest")

# scale_type "simple_numeric"
level_of_detail=LevelOfDetail(scale_type="simple_numeric", level=0)

# scale_type "coarse_grid"
level_of_detail=LevelOfDetail(scale_type="coarse_grid", square_size=600)

snapping Adjusts the process of looking up the nearest roads from the departure / arrival points.

For a more detailed description of how to use this parameter, you can refer to our API Docs

from traveltimepy.dto.common import Snapping, SnappingAcceptRoads, SnappingPenalty

snapping=Snapping(
    penalty=SnappingPenalty.ENABLED, # default
    accept_roads=SnappingAcceptRoads.BOTH_DRIVABLE_AND_WALKABLE # default
)

snapping=Snapping(
    penalty=SnappingPenalty.DISABLED,
    accept_roads=SnappingAcceptRoads.ANY_DRIVABLE
)