MtaSanitizer is a small HTTP server that converts the MTA's realtime subway feed from Protocol Buffers/GTFS to JSON. The app also adds caching and makes it possible to retreive information by location and train line.
This project is under active development and may contain bugs. Feedback is very welcome.
- /by-location?lat=[latitude]&lon=[longitude]
Returns the 5 stations nearest the provided lat/lon pair.
{
"data": [
{
"N": [
{
"route": "6",
"time": "2014-08-29T14:00:55-04:00"
},
{
"route": "6X",
"time": "2014-08-29T14:10:30-04:00"
},
...
],
"S": [
{
"route": "6",
"time": "2014-08-29T14:04:14-04:00"
},
{
"route": "6",
"time": "2014-08-29T14:11:07-04:00"
},
...
],
"hasData": true,
"id": 123,
"location": [
40.725606,
-73.9954315
],
"name": "Broadway-Lafayette St / Bleecker St",
"routes": [
"6X",
"6"
],
"stops": {
"637": [
40.725915,
-73.994659
],
"D21": [
40.725297,
-73.996204
]
}
},
{
"N": [
{
"route": "6X",
"time": "2014-08-29T14:09:30-04:00"
},
{
"route": "6",
"time": "2014-08-29T14:13:30-04:00"
},
...
],
"S": [
{
"route": "6",
"time": "2014-08-29T14:05:14-04:00"
},
{
"route": "6",
"time": "2014-08-29T14:12:07-04:00"
},
...
],
"hasData": true,
"id": 124,
"location": [
40.723315,
-73.9974215
],
"name": "Spring St / Prince St",
"routes": [
"6X",
"6"
],
"stops": {
"638": [
40.722301,
-73.997141
],
"R22": [
40.724329,
-73.997702
]
}
},
...
],
"updated": "2014-08-29T15:27:27-04:00"
}- /by-route/[route]
Returns all stations on the provided train route.
{
"data": [
{
"N": [
{
"route": "6X",
"time": "2014-08-29T14:01:54-04:00"
},
{
"route": "5",
"time": "2014-08-29T14:04:35-04:00"
},
{
"route": "4",
"time": "2014-08-29T14:07:00-04:00"
},
...
],
"S": [
{
"route": "6",
"time": "2014-08-29T14:01:53-04:00"
},
{
"route": "4",
"time": "2014-08-29T14:04:52-04:00"
},
...
],
"hasData": true,
"id": 12,
"location": [
40.804138,
-73.937594
],
"name": "125 St",
"routes": [
"6X",
"5",
"4",
"6"
],
"stops": {
"621": [
40.804138,
-73.937594
]
}
},
{
"N": [
{
"route": "5",
"time": "2014-08-29T14:07:05-04:00"
},
{
"route": "4",
"time": "2014-08-29T14:09:30-04:00"
},
...
],
"S": [
{
"route": "4",
"time": "2014-08-29T14:02:22-04:00"
},
{
"route": "5",
"time": "2014-08-29T14:03:36-04:00"
},
...
],
"hasData": true,
"id": 123,
"location": [
40.813224,
-73.929849
],
"name": "138 St - Grand Concourse",
"routes": [
"5",
"4"
],
"stops": {
"416": [
40.813224,
-73.929849
]
}
},
...
],
"updated": "2014-08-29T15:25:27-04:00"
}-
/by-id/[id],[id],[id]...
Returns the stations with the provided IDs, in the order provided. IDs should be comma separated with no space characters. -
/routes
Lists available routes.
{
"data": [
"S",
"L",
"1",
"3",
"2",
"5",
"4",
"6",
"6X"
],
"updated": "2014-08-29T15:09:57-04:00"
}MtaSanitizer is a Flask app designed to run under Python 2.7.
- Create a settings file. A sample is provided as
settings.cfg.sample. - Set up your environment and install dependencies.
$ virtualenv .venv
$ source .venv/bin/activate
$ pip install -r requirements.txt - Run the server
$ export MTA_SETTINGS=your_settings_file.cfg; python app.py
This app makes use of Python threads. If running under uWSGI include the --enable-threads flag.
-
MTA_KEY (required)
The API key provided at http://datamine.mta.info/user/register
default: None -
STATIONS_FILE (required)
Path to the JSON file containing station information. See Generating a Stations File for more info.
default: None -
CROSS_ORIGIN
Add CORS headers to the HTTP output.
default: "*" when in debug mode, None otherwise -
MAX_TRAINS
Limits the number of trains that will be listed for each station.
default: 10 -
MAX_MINUTES
Limits how far in advance train information will be listed.
default: 30 -
CACHE_SECONDS
How frequently the app will request fresh data from the MTA API.
default: 60 -
THREADED
Enable background data refresh. This will prevent requests from hanging while new data is retreived from the MTA API.
default: True -
DEBUG
Standard Flask option. Will enabled enhanced logging and wildcard CORS headers.
default: False
The MTA provides several static data files about the subway system but none include canonical information about each station. MtaSanitizer includes a script that will parse the stops.txt dataset provided by the MTA and attempt to group the different train stops into subway stations. MtaSanitizer will use this JSON file for station names and locations. The grouping is not perfect and editing the resulting JSON file is encouraged.
Usage: $ python generate_stations_file.py stops.txt stations.json --threshold=0.0025
Submit a GitHub Issues request.
Here are some projects that use MtaSanitizer.
The project is made available under the MIT license.