Skip to main content

Simplified data retrieval from Entur in Python

Project description

Pythentur

This package provides functions for simple fetching of real-time public transport data - as provided by Entur. As an added bonus, the nsrGet-function makes it easy to obtain the NSR ID of a stop place by a search string.

Installation

pip install pythentur

Dependencies:

Due to an issue, I'm not able to generate package dependencies, so they will have to be installed manually for the time being.

  • Requests

Usage

StopPlace object

Create a StopPlace object by handing in the NSR ID to the constructor.

from pythentur import StopPlace
oslo_s = StopPlace("NSR:StopPlace:59872")

This stores the ID, the name of the stop place (if available) and a pre-made query template in the GraphQL format.

The number of calls to retrieve can be changed by changing the argument noDepartures in the get method. The default is 20.

StopPlace.get method

This method makes a request to the Entur GraphQL API, by populating the query template with the NSR ID and the number of calls to get. This retrieves a list of calls, each represented by a dictionary.

from pythentur import StopPlace
oslo_s = StopPlace("NSR:StopPlace:59872")
data = oslo_s.get()

Here, data is a list of dictionaries, each containing:

  • 'platform': String containing the platform this call is arriving on. May be a blank string if the stop place does not have different specified platforms.
  • 'line': String containing the line number and name of the arriving transport.
  • 'aimedArrivalTime': Datetime object containing the planned arrival time of the call.
  • 'expectedArrivalTime': Datetime object containing the expected arrival time of the call.
  • 'delay': Timedelta object containing the calculated delay of the call.
  • 'readableTime': Returns a human readable string with relative time from now to the expected departure.

nsrGet function

Utilizing nsrGet, finding NSR IDs becomes a breeze. Hand in a search string to the function, and it spits out a list of IDs from stop places matching that string.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pythentur-0.0.9.tar.gz (4.2 kB view details)

Uploaded Source

Built Distribution

pythentur-0.0.9-py3-none-any.whl (8.0 kB view details)

Uploaded Python 3

File details

Details for the file pythentur-0.0.9.tar.gz.

File metadata

  • Download URL: pythentur-0.0.9.tar.gz
  • Upload date:
  • Size: 4.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.8.1

File hashes

Hashes for pythentur-0.0.9.tar.gz
Algorithm Hash digest
SHA256 2eaa37bc5e6f2a85ec6100661876d4d586522d4379c83a6b28b06c39a816c700
MD5 17eaf3c207171ed8e6036a6ebcb5eeb8
BLAKE2b-256 a4b105e2c971d43c287020449df4fb91bb0ded5d2ab67168d350022f4b7af5c6

See more details on using hashes here.

File details

Details for the file pythentur-0.0.9-py3-none-any.whl.

File metadata

  • Download URL: pythentur-0.0.9-py3-none-any.whl
  • Upload date:
  • Size: 8.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.8.1

File hashes

Hashes for pythentur-0.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 ab6ba3b83e951c38474ae2620cd05a8d0e6aae1ade49859bb250aaddb91d0330
MD5 f7ffcdca3ae4d1e6ab94cc9a7e90fb49
BLAKE2b-256 1f78ce0f4767b5d33527ec0de8044d95fcc666b804f88d9fa4ee49664fc903c9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page