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        "description": "bikeshare-client-python\n-----------------------\n[![Build Status](https://travis-ci.org/jakehadar/bikeshare-client-python.svg?branch=master)](https://travis-ci.org/jakehadar/bikeshare-client-python)\n[![Coverage Status](https://coveralls.io/repos/github/jakehadar/bikeshare-client/badge.svg?branch=coverage)](https://coveralls.io/github/jakehadar/bikeshare-client?branch=coverage)\n\nA Python client for discovering and capturing live bikeshare data feeds made publically available by [hundreds of global bikeshare providers](https://raw.githubusercontent.com/NABSA/gbfs/master/systems.csv) in accordance with the [General Bikeshare Feed Specification (GBFS)](https://github.com/NABSA/gbfs/blob/master/gbfs.md) standard.\n\nThis module is built with the intention of laying some of the groundwork for supporting more complex applications built around the consumption of live bikeshare data.\n\n\nSystem coverage\n---------------\n\nAs of writing, this Python client supports 256 bikeshare systems across 218 cities in 36 countries.\n\nThe list of bikeshare systems supported by this client is [actively maintained by the GBFS community](https://github.com/NABSA/gbfs/blob/master/README.md#systems-implementing-gbfs) and can be found here:\n* [systems.csv](https://raw.githubusercontent.com/NABSA/gbfs/master/systems.csv)\n\nThe code example below demonstrates how to discover and filter these systems programatically.\n\n\nInstallation\n------------\n\nInstall from PyPi using\n[pip](http://www.pip-installer.org/en/latest/), a package manager for\nPython.\n\n``` {.sourceCode .bash}\n pip install gbfs-client\n```\n\nExamples\n--------\n\nA sample implementation (Flask JSON endpoint) can be found here:\n\n* [bikeshare-json-api](https://github.com/jakehadar/bikeshare-json-api)\n\n\nInteractive walk-through\n------------------------\n\nSearching for bikeshare systems in WI and NY using the system discovery service:\n\n``` {.sourceCode .python}\n>>> from gbfs.services import SystemDiscoveryService\n>>> ds = SystemDiscoveryService()\n>>> len(ds.system_ids)\n221\n>>> [x.get('System ID') for x in ds.systems if 'WI' in x.get('Location')]\n['bcycle_bublr', 'bcycle_madison']\n>>> ds.get_system_by_id('bcycle_madison')\n{'Country Code': 'US', 'Name': 'Madison B-cycle', 'Location': 'Madison, WI', 'System ID': 'bcycle_madison', 'URL': 'https://madison.bcycle.com', 'Auto-Discovery URL': 'https://gbfs.bcycle.com/bcycle_madison/gbfs.json'}\n>>> [x.get('System ID') for x in ds.systems if 'citi bike' in x.get('Name').lower()]\n['NYC', 'jump_nyc', 'lime_new_york', 'reddy_bikeshare', 'sobi_long_beach']\n>>> ds.get_system_by_id('NYC')\n{'Country Code': 'US', 'Name': 'Citi Bike', 'Location': 'NYC, NY', 'System ID': 'NYC', 'URL': 'https://www.citibikenyc.com', 'Auto-Discovery URL': 'https://gbfs.citibikenyc.com/gbfs/gbfs.json'}\n```\n\nInstantiating a GBFS client for Citi Bike (NYC) and exploring its available feeds:\n\n```\n>>> client = ds.instantiate_client('NYC')\n>>> client.feed_names\n['system_alerts', 'system_information', 'station_information', 'station_status', 'system_regions']\n>>> client.request_feed('system_alerts')\n{'last_updated': datetime.datetime(2018, 12, 3, 1, 49, 55), 'ttl': 10, 'data': {'alerts': []}}\n```\n\nInstantiating a GBFS client directly (without the discovery service) using the auto-discovery URL for Citi Bike (found earlier):\n\n```{.sourceCode .python}\n>>> from gbfs.client import GBFSClient\n>>> client = GBFSClient('https://gbfs.citibikenyc.com/gbfs/gbfs.json', 'en')\n```\n\nSearching Citi Bike's station_information feed for two specific stations, one near 49th/8th ave and the other near Barclay/Church:\n\n```\n>>> stations = client.request_feed('station_information').get('data').get('stations')\n>>> [(x.get('name'), x.get('station_id')) for x in stations if '49' in x.get('name')]\n[('Broadway & W 49 St', '173'), ('W 49 St & 8 Ave', '450'), ('49 Ave & 21 St', '3606')]\n>>> home = next(filter(lambda x: x.get('station_id') == '450', stations))\n>>> home\n{'station_id': '450', 'name': 'W 49 St & 8 Ave', 'lat': 40.76227205, 'lon': -73.98788205, 'capacity': 59}\n>>> [(x.get('name'), x.get('station_id')) for x in stations if 'Barclay' in x.get('name')]\n[('Barclay St & Church St', '417')]\n>>> work = next(filter(lambda x: x.get('station_id') == '417', stations))\n>>> work\n{'station_id': '417', 'name': 'Barclay St & Church St', 'lat': 40.71291224, 'lon': -74.01020234, 'capacity': 23}\n```\n\nBuilding a small app to poll a station's live status and print a nice message:\n\n```{.sourceCode .python}\n>>> def live_status_for(station):\n...     all_statuses = client.request_feed('station_status').get('data').get('stations')\n...     return next(filter(lambda x: x.get('station_id') == station.get('station_id'), all_statuses))\n...\n\n>>> def print_status_message(station):\n...     bikes_available = live_status_for(station).get('num_bikes_available')\n...     print('{} is currently at {}% capacity with {} bikes available to rent.'.format(\n...         station.get('name'), int(100*bikes_available/station.get('capacity')), bikes_available))\n\n>>> print_status_message(home)\nW 49 St & 8 Ave is currently at 16% capacity with 10 bikes available to rent.\n>>> print_status_message(work)\nBarclay St & Church St is currently at 91% capacity with 21 bikes available to rent.\n```\n\n\n",
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