dvbpy icon indicating copy to clipboard operation
dvbpy copied to clipboard

🚋 Query Dresden's public transport system for current bus- and tramstop data in python

dvbpy

An unofficial python module giving you a few options to query a collection of publicly accessible API methods for Dresden's public transport system.

Want something like this for another language, look no further <https://github.com/kiliankoe/vvo#libraries>__ 🙂

The documentation is located here <https://kiliankoe.github.io/dvbpy/>__.

Get dvbpy from PyPi :)

.. code:: shell

pip install dvb

And then just import it.

.. code:: python

import dvb

Monitor a single stop


Monitor a single stop to see every bus or tram leaving this stop after
the specified time offset.

.. code:: python

    import dvb

    stop = 'Helmholtzstraße'
    time_offset = 0 # how many minutes in the future, 0 for now
    num_results = 2
    city = 'Dresden'

    dvb.monitor(stop, time_offset, num_results, city)

.. code:: python

    [{
        'line': '85',
        'direction': 'Striesen',
        'arrival': 5
    },
    {
        'line': '85',
        'direction': 'Löbtau Süd',
        'arrival': 7
    }]

You can also call ``monitor()`` without city, num\_results or
time\_offset. City will default to Dresden.

Find routes
~~~~~~~~~~~

Query the server for possible routes from one stop to another. Returns
multiple possible trips, the bus-/tramlines to be taken, the single
stops, their arrival and departure times and their GPS coordinates.

.. code:: python

    import dvb
    import time

    origin = 'Zellescher Weg'
    city_origin = 'Dresden'
    destination = 'Postplatz'
    city_destination = 'Dresden'
    time = int(time.time()) # a unix timestamp is wanted here
    deparr = 'dep'  # set to 'arr' for arrival time, 'dep' for departure time

    dvb.route(origin, destination, city_origin, city_destination, time, deparr)

.. code:: python

    {
        'trips': [{
            'interchange': 0,
            'nodes': [{
                'line': '11',
                'mode': 'Straßenbahn',
                'direction': 'Dresden Bühlau Ullersdorfer Platz',
                'path': [
                    [13.745754, 51.02816],
                    [13.745848, 51.028393],
                    ...
                ],
                'departure': {
                    'time': '18:01',
                    'stop': 'Zellescher Weg',
                    'coords': '13745754,51028160'
                },
                'arrival': {
                    'time': '18:14',
                    'stop': 'Postplatz',
                    'coords': '13733717,51050544'
                }
            }],
            'duration': '00:13',
            'departure': '18:01',
            'arrival': '18:14'
        },
        ...
        }],
        'origin': 'Dresden, Zellescher Weg',
        'destination': 'Dresden, Postplatz'
    }

Everything besides origin and destination is optional and only needs to
be included if necessary. City for origin and destination defaults to
Dresden, time to now and is handled as the departure time.

The path property contains a list consisting of all the coordinates
describing the path of this node. Useful for example if you want to draw
it on a map.

If you use recommendations for interchanges, each of the nodes (except
the last one)in every trip will have a ``recommendation`` field. The
field will tell where you should enter this route to get an optimal
interchange experience. This is of course only if there are any
interchanges. The positions are ``0`` for front, ``1`` for middle and
``2`` for back. If there are no recommendations available ``None`` is
returned.

Find stops by name
~~~~~~~~~~~~~~~~~~

Search for a single stop in the network of the DVB.

.. code:: python

    import dvb

    dvb.find('zellesch')

.. code:: python

    [{
        'name': 'Zellescher Weg',
        'city': 'Dresden',
        'coords': [51.028366, 13.745847]
    }]

The fields ``city`` and ``coords`` are optional as they are not
available for every stop. So don't forget to check for their existence
first.

.. code:: python

    [stop for stop in dvb.find('Post') if 'city' in stop if stop['city'] == 'Dresden']

Find other POIs with coordinates

Search for all kinds of POIs inside a given square.

.. code:: python

import dvb

southwest_lat = 51.04120
southwest_lng = 13.70106
northeast_lat = 51.04615
northeast_lng = 13.71368

pintypes = 'stop'
# can be poi, platform, rentabike, ticketmachine, parkandride, carsharing or stop

dvb.pins(southwest_lat, southwest_lng, northeast_lat, northeast_lng, pintypes)

pintypes defaults to 'stop' if no other input is given.

.. code:: python

[
   {
      "connections":"1:7~8~9~10~11~12",
      "coords":{
         "lat":51.04373256804444,
         "lng":13.70625638110702
      },
      "id":33000143,
      "name":"Saxoniastraße"
   },
   {
      "connections":"2:61~90",
      "coords":{
         "lat":51.04159705545878,
         "lng":13.7053650905211
      },
      "id":33000700,
      "name":"Ebertplatz"
   },
   {
      "connections":"1:6~7~8~9~10~11~12#2:61~63~90~A#3:333",
      "coords":{
         "lat":51.04372841952444,
         "lng":13.703461228676069
      },
      "id":33000144,
      "name":"Tharandter Straße"
   }, ...
]

Look up coordinates for POI


Find the coordinates for a given POI id.

.. code:: python

    import dvb

    dvb.poi_coords(33000755)

.. code:: python

    {'lat': 51.018745307424005, 'lng': 13.758700156062707}

Address for coordinates - WIP

Look up the address for a given set of coordinates.

.. code:: python

import dvb

lat = 51.04373
lng = 13.70320

dvb.address(lat, lng)

.. code:: python

{
    'city': u'Dresden',
    'address': u'Kesselsdorfer Straße 1'
}

Other stuff


Stop names in queries are very forgiving. As long as the server sees it
as a unique hit, it'll work. 'Helmholtzstraße' finds the same data as
'helmholtzstrasse', 'Nürnberger Platz' = 'nuernbergerplatz' etc.

One last note, be sure not to run whatever it is you're building from
inside the network of the TU Dresden. Calls to ``dvb.route()`` and
``dvb.find()`` will time out. This is unfortunately expected behavior as
API calls from these IP ranges are blocked.