traveltime-dev / traveltime-python-sdk

TravelTime SDK for Python programming language
https://docs.traveltime.com/
MIT License
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Bremen Missing Data Issue #83

Closed MxMartin closed 1 year ago

MxMartin commented 1 year ago

Hi!

It seems that Bremen (Germany) is currently missing public transit data.

Executing the following isochrone request for any day before October 9 will return a large isochrone including public transit, while any date from October 9 on will return a much smaller isochrone with 'is_only_walking' set to 'true'.

{
  "arrival_searches": [
    {
      "id": "isochrone-0",
      "coords": {
        "lat": 53.078352543519344,
        "lng": 8.76932144165039
      },
      "arrival_time": "2023-10-10T07:00:00.000Z",
      "travel_time": 1800,
      "transportation": {
        "type": "public_transport",
        "walking_time": 900,
        "cycling_time_to_station": 100,
        "parking_time": 0,
        "boarding_time": 0,
        "driving_time_to_station": 1800,
        "pt_change_delay": 0,
        "disable_border_crossing": false
      },
      "level_of_detail": {
        "scale_type": "simple",
        "level": "medium"
      },
      "single_shape": false,
      "no_holes": false,
      "range": {
        "enabled": false,
        "width": 3600
      },
      "properties": [
        "is_only_walking"
      ]
    }
  ]
}
MxMartin commented 1 year ago

Here is an example response for October 10:

""" { "results": [ { "search_id": "isochrone-0", "shapes": [ { "shell": [ { "lat": 53.082203, "lng": 8.757032 }, { "lat": 53.082203, "lng": 8.756883 }, { "lat": 53.082066, "lng": 8.7566595 }, { "lat": 53.081886, "lng": 8.7566595 }, { "lat": 53.0818, "lng": 8.756808 }, { "lat": 53.08162, "lng": 8.756808 }, { "lat": 53.081482, "lng": 8.757032 }, { "lat": 53.081482, "lng": 8.757181 }, { "lat": 53.081436, "lng": 8.757256 }, { "lat": 53.081394, "lng": 8.757181 }, { "lat": 53.081394, "lng": 8.757032 }, { "lat": 53.08135, "lng": 8.756958 }, { "lat": 53.081257, "lng": 8.756958 }, { "lat": 53.081215, "lng": 8.757032 }, { "lat": 53.081215, "lng": 8.757331 }, { "lat": 53.081123, "lng": 8.75748 }, { "lat": 53.081123, "lng": 8.758077 }, { "lat": 53.08117, "lng": 8.758151 }, { "lat": 53.081886, "lng": 8.758151 }, { "lat": 53.081932, "lng": 8.758225 }, { "lat": 53.081886, "lng": 8.758301 }, { "lat": 53.081707, "lng": 8.758301 }, { "lat": 53.08166, "lng": 8.758375 }, { "lat": 53.08166, "lng": 8.758971 }, { "lat": 53.08162, "lng": 8.759047 }, { "lat": 53.081436, "lng": 8.759047 }, { "lat": 53.08135, "lng": 8.758897 }, { "lat": 53.081078, "lng": 8.758897 }, { "lat": 53.08099, "lng": 8.758748 }, { "lat": 53.0809, "lng": 8.758748 }, { "lat": 53.080627, "lng": 8.758301 }, { "lat": 53.08036, "lng": 8.758301 }, { "lat": 53.08027, "lng": 8.758151 }, { "lat": 53.07982, "lng": 8.758151 }, { "lat": 53.07973, "lng": 8.758301 }, { "lat": 53.07964, "lng": 8.758301 }, { "lat": 53.079506, "lng": 8.758524 }, { "lat": 53.079506, "lng": 8.758674 }, { "lat": 53.079414, "lng": 8.758822 }, { "lat": 53.079414, "lng": 8.758971 }, { "lat": 53.079372, "lng": 8.759047 }, { "lat": 53.07928, "lng": 8.759047 }, { "lat": 53.079235, "lng": 8.758971 }, { "lat": 53.079235, "lng": 8.758225 }, { "lat": 53.079193, "lng": 8.758151 }, { "lat": 53.0791, "lng": 8.758151 }, { "lat": 53.07901, "lng": 8.758301 }, { "lat": 53.078922, "lng": 8.758301 }, { "lat": 53.078876, "lng": 8.758225 }, { "lat": 53.078876, "lng": 8.757927 }, { "lat": 53.07883, "lng": 8.757853 }, { "lat": 53.078743, "lng": 8.758002 }, { "lat": 53.078564, "lng": 8.758002 }, { "lat": 53.078293, "lng": 8.75845 }, { "lat": 53.078114, "lng": 8.75845 }, { "lat": 53.078022, "lng": 8.758301 }, { "lat": 53.077755, "lng": 8.758301 }, { "lat": 53.077618, "lng": 8.758524 }, { "lat": 53.077618, "lng": 8.758674 }, { "lat": 53.077576, "lng": 8.758748 }, { "lat": 53.077393, "lng": 8.758748 }, { "lat": 53.077305, "lng": 8.758897 }, { "lat": 53.077034, "lng": 8.758897 }, { "lat": 53.076767, "lng": 8.75845 }, { "lat": 53.076584, "lng": 8.75845 }, { "lat": 53.07654, "lng": 8.758375 }, { "lat": 53.07654, "lng": 8.758225 }, { "lat": 53.076405, "lng": 8.758002 }, { "lat": 53.076138, "lng": 8.758002 }, { "lat": 53.076, "lng": 8.758225 }, { "lat": 53.076, "lng": 8.758524 }, { "lat": 53.076138, "lng": 8.758748 }, { "lat": 53.076225, "lng": 8.758748 }, { "lat": 53.07654, "lng": 8.75927 }, { "lat": 53.07654, "lng": 8.759419 }, { "lat": 53.07663, "lng": 8.759568 }, 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danielnaumau commented 1 year ago

Thanks a lot for noticing. We fixed the issue and it will be deployed on Monday

MxMartin commented 1 year ago

Thanks a lot for the quick fix :)

MxMartin commented 1 year ago

I just had a thought regarding an automated test I wanted to share which could help detecting such issues automatically:

For each hour on each day for each data provider run an isochrone request for set of sample locations vs a comparable day (same weekday) and check if the size of the isochrone is comparable.

Donatas-L commented 1 year ago

@MxMartin Thanks for suggestion, we already have extensive tests, but TravelTime supports over 230 different countries/territories. Catching all of the errors is not trivial, that's why it can occur from time to time. Thanks for noticing this and reporting :+1:

MxMartin commented 1 year ago

Sure, totally seeing the point! Thanks for fixing it quickly anyway :)