cal-itp · edasmalchi · Nov 26, 2024 · Nov 26, 2024 · Nov 26, 2024
diff --git a/ca_transit_speed_maps/03_hermosa_adhoc_export.ipynb b/ca_transit_speed_maps/03_hermosa_adhoc_export.ipynb
@@ -0,0 +1,301 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "46898b5c-b5cc-4096-ab68-8c3e42fab870",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "import warnings\n",
+    "warnings.filterwarnings('ignore')\n",
+    "import calitp_data_analysis.magics\n",
+    "# from update_vars_index import ANALYSIS_DATE\n",
+    "\n",
+    "import speedmap_utils\n",
+    "import pandas as pd\n",
+    "import geopandas as gpd\n",
+    "import numpy as np\n",
+    "from siuba import *\n",
+    "import shared_utils\n",
+    "catalog = shared_utils.catalog_utils.get_catalog('gtfs_analytics_data')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5f100bb7-182c-4d78-a8f8-1b2eabf70650",
+   "metadata": {},
+   "source": [
+    "## https://github.com/cal-itp/data-analyses/issues/1306"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "9f15ed6a-5ab7-4f57-9695-3f762781b74c",
+   "metadata": {
+    "tags": [
+     "parameters"
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "## parameters cell\n",
+    "organization_source_record_ids = ['rec4pgjrmdhCh4z01', 'rec8zhnCPETu6qEiH', 'recPnGkwdpnr8jmHB',\n",
+    "                                 'recvzE9NXgGMmqcTH']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "7c53d945-7295-4d86-9110-b6f4f52f9975",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dates = ['jan2024', 'feb2024', 'mar2024', 'apr2024',\n",
+    "        'may2024', 'jun2024', 'jul2024', 'aug2024',\n",
+    "        'sep2024', 'oct2024', 'nov2024']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "5843d0b3-a500-4c2e-8a65-bfe2935ce089",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dates = [shared_utils.rt_dates.DATES[date] for date in dates]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "1989aba3-8cf6-48c4-aceb-2399eea80de2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def read_segments(organization_source_record_ids: list, analysis_date) -> gpd.GeoDataFrame:\n",
+    "    '''\n",
+    "    Get filtered detailed speedmap segments for an organization, and relevant district SHN.\n",
+    "    '''\n",
+    "    path = f'{catalog.speedmap_segments.dir}{catalog.speedmap_segments.shape_stop_single_segment_detail}_{analysis_date}.parquet'\n",
+    "    # path = f'{catalog.stop_segments.dir}{catalog.stop_segments.route_dir_single_segment_detail}_{update_vars_index.ANALYSIS_DATE}.parquet'\n",
+    "    speedmap_segs = gpd.read_parquet(path, filters=[['organization_source_record_id', 'in', organization_source_record_ids],\n",
+    "                                                   ['route_short_name', 'in', ['232', '109', '438', '13']]]) #  aggregated\n",
+    "    assert (speedmap_segs >> select(-_.route_short_name)).isna().any().any() == False, 'no cols besides route_short_name should be nan'\n",
+    "    speedmap_segs['date'] = analysis_date\n",
+    "    \n",
+    "    #  TODO move upstream and investigate\n",
+    "    speedmap_segs['fast_slow_ratio'] = speedmap_segs.p80_mph / speedmap_segs.p20_mph\n",
+    "    speedmap_segs.fast_slow_ratio = speedmap_segs.fast_slow_ratio.replace(np.inf, 3)\n",
+    "    speedmap_segs = speedmap_segs.round(1)\n",
+    "    # speedmap_segs = prepare_segment_gdf(speedmap_segs)\n",
+    "    # shn = gpd.read_parquet(rt_utils.SHN_PATH)\n",
+    "    # this_shn = shn >> filter(_.District.isin([int(x[:2]) for x in speedmap_segs.caltrans_district.unique()]))\n",
+    "    \n",
+    "    return speedmap_segs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "c3333da1-b90c-4ed3-8655-cd668ef33ed4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gdf = read_segments(organization_source_record_ids, dates[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "420b81e4-80db-4385-9961-58007bbdb5b5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-01-17\n",
+      "2024-02-14\n",
+      "2024-03-13\n",
+      "2024-04-17\n",
+      "2024-05-22\n",
+      "2024-06-12\n",
+      "2024-07-17\n",
+      "2024-08-14\n",
+      "2024-09-18\n",
+      "2024-10-16\n",
+      "2024-11-13\n"
+     ]
+    }
+   ],
+   "source": [
+    "lines = gpd.GeoDataFrame()\n",
+    "for date in dates:\n",
+    "    print(date)\n",
+    "    lines = pd.concat([read_segments(organization_source_record_ids, date), lines])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "359dc68a-903b-455f-b419-920fa506ebed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def read_process_segments(organization_source_record_ids: list, analysis_date) -> gpd.GeoDataFrame:\n",
+    "    '''\n",
+    "    Get filtered detailed speedmap segments for an organization, and relevant district SHN.\n",
+    "    '''\n",
+    "    path = f'{catalog.speedmap_segments.dir}{catalog.speedmap_segments.shape_stop_single_segment_detail}_{analysis_date}.parquet'\n",
+    "    # path = f'{catalog.stop_segments.dir}{catalog.stop_segments.route_dir_single_segment_detail}_{update_vars_index.ANALYSIS_DATE}.parquet'\n",
+    "    speedmap_segs = gpd.read_parquet(path, filters=[['organization_source_record_id', 'in', organization_source_record_ids],\n",
+    "                                                   ['route_short_name', 'in', ['232', '109', '438', '13']]]) #  aggregated\n",
+    "    assert (speedmap_segs >> select(-_.route_short_name)).isna().any().any() == False, 'no cols besides route_short_name should be nan'\n",
+    "    speedmap_segs['date'] = analysis_date\n",
+    "    speedmap_segs = speedmap_utils.prepare_segment_gdf(speedmap_segs)\n",
+    "    # shn = gpd.read_parquet(rt_utils.SHN_PATH)\n",
+    "    # this_shn = shn >> filter(_.District.isin([int(x[:2]) for x in speedmap_segs.caltrans_district.unique()]))\n",
+    "    \n",
+    "    return speedmap_segs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "bc4bc624-f5d1-42e0-89a1-858671753de6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-01-17\n",
+      "2024-02-14\n",
+      "2024-03-13\n",
+      "2024-04-17\n",
+      "2024-05-22\n",
+      "2024-06-12\n",
+      "2024-07-17\n",
+      "2024-08-14\n",
+      "2024-09-18\n",
+      "2024-10-16\n",
+      "2024-11-13\n"
+     ]
+    }
+   ],
+   "source": [
+    "polygons = gpd.GeoDataFrame()\n",
+    "for date in dates:\n",
+    "    print(date)\n",
+    "    polygons = pd.concat([read_process_segments(organization_source_record_ids, date), polygons])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "b5786ff5-e33e-4bbd-acc2-b8459f4e1f13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "polygons.to_file('hermosa_speedmap_polygons.geojson')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "fbd4f2b9-257a-4c60-b9d0-fa51f8fb2982",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lines.to_file('hermosa_speedmap_lines.geojson')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d26b1dbf-15db-4d28-bac9-f3f3885d717a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "821bfbee-f2d4-4e06-aec0-aa877d27db4f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def write_gz(gdf, path):\n",
+    "    geojson_str = gdf.to_json()\n",
+    "    geojson_bytes = geojson_str.encode(\"utf-8\")\n",
+    "    # if verbose:\n",
+    "    #     print(f\"writing to {path}\")\n",
+    "    with open(path, \"wb\") as writer:\n",
+    "        with gzip.GzipFile(fileobj=writer, mode=\"w\") as gz:\n",
+    "            gz.write(geojson_bytes)\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "7733fb48-5403-43b7-9ba2-a86992d1f79a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gzip"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "4f1776af-65b8-413d-8d02-5aa66f0671b0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "write_gz(polygons, 'hermosa_speedmap_polygons.geojson.gz')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "88f8b256-4bce-4cc4-b878-d1fe1c512100",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "write_gz(lines, 'hermosa_speedmap_lines.geojson.gz')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/ca_transit_speed_maps/speedmap_utils.py b/ca_transit_speed_maps/speedmap_utils.py
@@ -17,7 +17,7 @@ def read_segments_shn(organization_source_record_id: str) -> (gpd.GeoDataFrame,
     path = f'{catalog.speedmap_segments.dir}{catalog.speedmap_segments.shape_stop_single_segment_detail}_{update_vars_index.ANALYSIS_DATE}.parquet'
     # path = f'{catalog.stop_segments.dir}{catalog.stop_segments.route_dir_single_segment_detail}_{update_vars_index.ANALYSIS_DATE}.parquet'
     speedmap_segs = gpd.read_parquet(path, filters=[['organization_source_record_id', '==', organization_source_record_id]]) #  aggregated
-    assert (speedmap_segs >> select(-_.route_short_name)).isna().any().any() == False, 'no cols besides route_short_name should be nan'x
+    assert (speedmap_segs >> select(-_.route_short_name)).isna().any().any() == False, 'no cols besides route_short_name should be nan'
     speedmap_segs = prepare_segment_gdf(speedmap_segs)
     shn = gpd.read_parquet(rt_utils.SHN_PATH)
     this_shn = shn >> filter(_.District.isin([int(x[:2]) for x in speedmap_segs.caltrans_district.unique()]))

diff --git a/rt_segment_speeds/logs/avg_speeds.log b/rt_segment_speeds/logs/avg_speeds.log
@@ -557,3 +557,24 @@
 2024-11-15 16:47:26.586 | INFO     | __main__:segment_averages:183 - stop_segments segment averaging for ['2024-11-13'] execution time: 0:04:17.582380
 2024-11-15 16:47:58.691 | INFO     | __main__:summary_average_speeds:120 - trip avg 0:00:15.263016
 2024-11-15 16:48:12.028 | INFO     | __main__:summary_average_speeds:155 - rt_stop_times summary speed averaging for ['2024-11-13'] execution time: 0:00:28.600051
+2024-11-25 15:13:37.373 | INFO     | __main__:segment_averages:183 - stop_segments segment averaging for ['2024-02-14'] execution time: 0:03:26.605094
+2024-11-25 15:17:40.046 | INFO     | __main__:segment_averages:183 - stop_segments segment averaging for ['2024-02-14'] execution time: 0:04:02.591857
+2024-11-25 15:56:22.157 | INFO     | __main__:summary_average_speeds:120 - trip avg 0:00:14.429525
+2024-11-25 15:56:33.970 | INFO     | __main__:summary_average_speeds:155 - rt_stop_times summary speed averaging for ['2024-02-14'] execution time: 0:00:26.242649
+2024-11-25 16:13:02.901 | INFO     | average_segment_speeds:segment_averages_detail:247 - speedmap_segments detailed segment averaging for ['2024-02-14'] execution time: 0:05:49.602618
+2024-11-25 16:18:14.085 | INFO     | average_segment_speeds:segment_averages:183 - speedmap_segments segment averaging for ['2024-02-14'] execution time: 0:05:11.036585
+2024-11-25 16:22:17.639 | INFO     | average_segment_speeds:segment_averages:183 - speedmap_segments segment averaging for ['2024-02-14'] execution time: 0:04:03.406461
+2024-11-25 17:36:36.926 | INFO     | __main__:segment_averages:183 - stop_segments segment averaging for ['2024-04-17'] execution time: 0:03:37.971380
+2024-11-25 17:40:46.424 | INFO     | __main__:segment_averages:183 - stop_segments segment averaging for ['2024-04-17'] execution time: 0:04:09.371271
+2024-11-25 18:21:02.631 | INFO     | __main__:summary_average_speeds:120 - trip avg 0:00:15.281556
+2024-11-25 18:21:14.991 | INFO     | __main__:summary_average_speeds:155 - rt_stop_times summary speed averaging for ['2024-04-17'] execution time: 0:00:27.640841
+2024-11-25 18:38:30.685 | INFO     | average_segment_speeds:segment_averages_detail:247 - speedmap_segments detailed segment averaging for ['2024-04-17'] execution time: 0:05:56.867437
+2024-11-25 18:43:43.127 | INFO     | average_segment_speeds:segment_averages:183 - speedmap_segments segment averaging for ['2024-04-17'] execution time: 0:05:12.297407
+2024-11-25 18:47:46.966 | INFO     | average_segment_speeds:segment_averages:183 - speedmap_segments segment averaging for ['2024-04-17'] execution time: 0:04:03.631509
+2024-11-25 20:16:48.107 | INFO     | __main__:segment_averages:183 - stop_segments segment averaging for ['2024-07-17'] execution time: 0:03:01.260045
+2024-11-25 20:20:35.395 | INFO     | __main__:segment_averages:183 - stop_segments segment averaging for ['2024-07-17'] execution time: 0:03:47.132474
+2024-11-25 20:58:10.113 | INFO     | __main__:summary_average_speeds:120 - trip avg 0:00:14.389431
+2024-11-25 20:58:21.747 | INFO     | __main__:summary_average_speeds:155 - rt_stop_times summary speed averaging for ['2024-07-17'] execution time: 0:00:26.022796
+2024-11-25 21:14:33.232 | INFO     | average_segment_speeds:segment_averages_detail:247 - speedmap_segments detailed segment averaging for ['2024-07-17'] execution time: 0:05:37.386735
+2024-11-25 21:19:21.360 | INFO     | average_segment_speeds:segment_averages:183 - speedmap_segments segment averaging for ['2024-07-17'] execution time: 0:04:47.990211
+2024-11-25 21:23:05.965 | INFO     | average_segment_speeds:segment_averages:183 - speedmap_segments segment averaging for ['2024-07-17'] execution time: 0:03:44.478500
diff --git a/rt_segment_speeds/logs/cut_stop_segments.log b/rt_segment_speeds/logs/cut_stop_segments.log
@@ -63,3 +63,9 @@
 2024-11-15 12:05:36.298 | INFO     | __main__:<module>:244 - speedmap segments and proxy_stop_times 2024-11-13: 0:05:14.586933
 2024-11-25 11:51:31.638 | INFO     | __main__:<module>:155 - cut segments 2024-01-17: 0:21:23.110335
 2024-11-25 11:57:30.752 | INFO     | __main__:<module>:244 - speedmap segments and proxy_stop_times 2024-01-17: 0:04:25.925486
+2024-11-25 14:26:37.567 | INFO     | __main__:<module>:155 - cut segments 2024-02-14: 0:20:14.982057
+2024-11-25 14:32:07.865 | INFO     | __main__:<module>:244 - speedmap segments and proxy_stop_times 2024-02-14: 0:04:06.440641
+2024-11-25 16:46:11.154 | INFO     | __main__:<module>:155 - cut segments 2024-04-17: 0:21:24.813915
+2024-11-25 16:52:05.319 | INFO     | __main__:<module>:244 - speedmap segments and proxy_stop_times 2024-04-17: 0:04:28.728100
+2024-11-25 19:29:33.128 | INFO     | __main__:<module>:155 - cut segments 2024-07-17: 0:19:53.239259
+2024-11-25 19:35:15.706 | INFO     | __main__:<module>:244 - speedmap segments and proxy_stop_times 2024-07-17: 0:04:18.392759
diff --git a/rt_segment_speeds/logs/interpolate_stop_arrival.log b/rt_segment_speeds/logs/interpolate_stop_arrival.log
@@ -124,3 +124,12 @@
 2024-11-15 12:44:55.085 | INFO     | interpolate_stop_arrival:interpolate_stop_arrivals:279 - interpolate arrivals for stop_segments 2024-11-13:  2024-11-13: 0:15:15.789486
 2024-11-15 13:34:38.198 | INFO     | interpolate_stop_arrival:interpolate_stop_arrivals:279 - interpolate arrivals for rt_stop_times 2024-11-13:  2024-11-13: 0:15:41.682831
 2024-11-15 13:46:49.459 | INFO     | interpolate_stop_arrival:interpolate_stop_arrivals:279 - interpolate arrivals for speedmap_segments 2024-11-13:  2024-11-13: 0:03:04.062272
+2024-11-25 15:08:19.483 | INFO     | interpolate_stop_arrival:interpolate_stop_arrivals:279 - interpolate arrivals for stop_segments 2024-02-14:  2024-02-14: 0:14:15.053152
+2024-11-25 15:54:03.502 | INFO     | interpolate_stop_arrival:interpolate_stop_arrivals:279 - interpolate arrivals for rt_stop_times 2024-02-14:  2024-02-14: 0:14:19.447104
+2024-11-25 16:04:58.835 | INFO     | interpolate_stop_arrival:interpolate_stop_arrivals:279 - interpolate arrivals for speedmap_segments 2024-02-14:  2024-02-14: 0:02:41.448366
+2024-11-25 17:31:02.567 | INFO     | interpolate_stop_arrival:interpolate_stop_arrivals:279 - interpolate arrivals for stop_segments 2024-04-17:  2024-04-17: 0:15:55.554641
+2024-11-25 18:18:13.220 | INFO     | interpolate_stop_arrival:interpolate_stop_arrivals:279 - interpolate arrivals for rt_stop_times 2024-04-17:  2024-04-17: 0:14:30.258514
+2024-11-25 18:30:15.050 | INFO     | interpolate_stop_arrival:interpolate_stop_arrivals:279 - interpolate arrivals for speedmap_segments 2024-04-17:  2024-04-17: 0:02:50.595931
+2024-11-25 20:11:30.072 | INFO     | interpolate_stop_arrival:interpolate_stop_arrivals:279 - interpolate arrivals for stop_segments 2024-07-17:  2024-07-17: 0:14:23.629904
+2024-11-25 20:55:50.314 | INFO     | interpolate_stop_arrival:interpolate_stop_arrivals:279 - interpolate arrivals for rt_stop_times 2024-07-17:  2024-07-17: 0:13:51.485049
+2024-11-25 21:06:50.404 | INFO     | interpolate_stop_arrival:interpolate_stop_arrivals:279 - interpolate arrivals for speedmap_segments 2024-07-17:  2024-07-17: 0:02:33.588358
diff --git a/rt_segment_speeds/logs/nearest_vp.log b/rt_segment_speeds/logs/nearest_vp.log
@@ -252,3 +252,21 @@
 2024-11-15 13:18:56.444 | INFO     | vp_around_stops:filter_to_nearest_two_vp:248 - nearest 2 vp for rt_stop_times 2024-11-13: 0:10:40.446083
 2024-11-15 13:40:07.685 | INFO     | nearest_vp_to_stop:nearest_neighbor_for_stop:178 - nearest neighbor for speedmap_segments 2024-11-13: 0:02:36.767174
 2024-11-15 13:43:45.362 | INFO     | vp_around_stops:filter_to_nearest_two_vp:248 - nearest 2 vp for speedmap_segments 2024-11-13: 0:03:37.215365
+2024-11-25 14:44:38.184 | INFO     | nearest_vp_to_stop:nearest_neighbor_for_stop:178 - nearest neighbor for stop_segments 2024-02-14: 0:12:12.259095
+2024-11-25 14:54:04.369 | INFO     | vp_around_stops:filter_to_nearest_two_vp:248 - nearest 2 vp for stop_segments 2024-02-14: 0:09:24.152632
+2024-11-25 15:29:52.547 | INFO     | nearest_vp_to_stop:nearest_neighbor_for_stop:178 - nearest neighbor for rt_stop_times 2024-02-14: 0:11:56.560691
+2024-11-25 15:39:43.982 | INFO     | vp_around_stops:filter_to_nearest_two_vp:248 - nearest 2 vp for rt_stop_times 2024-02-14: 0:09:49.647278
+2024-11-25 15:59:02.856 | INFO     | nearest_vp_to_stop:nearest_neighbor_for_stop:178 - nearest neighbor for speedmap_segments 2024-02-14: 0:02:13.301548
+2024-11-25 16:02:17.354 | INFO     | vp_around_stops:filter_to_nearest_two_vp:248 - nearest 2 vp for speedmap_segments 2024-02-14: 0:03:14.096258
+2024-11-25 17:04:55.099 | INFO     | nearest_vp_to_stop:nearest_neighbor_for_stop:178 - nearest neighbor for stop_segments 2024-04-17: 0:12:31.879883
+2024-11-25 17:15:06.934 | INFO     | vp_around_stops:filter_to_nearest_two_vp:248 - nearest 2 vp for stop_segments 2024-04-17: 0:10:09.477922
+2024-11-25 17:53:10.041 | INFO     | nearest_vp_to_stop:nearest_neighbor_for_stop:178 - nearest neighbor for rt_stop_times 2024-04-17: 0:12:06.825727
+2024-11-25 18:03:42.892 | INFO     | vp_around_stops:filter_to_nearest_two_vp:248 - nearest 2 vp for rt_stop_times 2024-04-17: 0:10:30.863101
+2024-11-25 18:23:48.992 | INFO     | nearest_vp_to_stop:nearest_neighbor_for_stop:178 - nearest neighbor for speedmap_segments 2024-04-17: 0:02:18.365295
+2024-11-25 18:27:24.420 | INFO     | vp_around_stops:filter_to_nearest_two_vp:248 - nearest 2 vp for speedmap_segments 2024-04-17: 0:03:35.000398
+2024-11-25 19:47:37.984 | INFO     | nearest_vp_to_stop:nearest_neighbor_for_stop:178 - nearest neighbor for stop_segments 2024-07-17: 0:12:03.630595
+2024-11-25 19:57:06.324 | INFO     | vp_around_stops:filter_to_nearest_two_vp:248 - nearest 2 vp for stop_segments 2024-07-17: 0:09:26.376710
+2024-11-25 20:32:12.883 | INFO     | nearest_vp_to_stop:nearest_neighbor_for_stop:178 - nearest neighbor for rt_stop_times 2024-07-17: 0:11:20.451706
+2024-11-25 20:41:58.771 | INFO     | vp_around_stops:filter_to_nearest_two_vp:248 - nearest 2 vp for rt_stop_times 2024-07-17: 0:09:44.129455
+2024-11-25 21:00:54.275 | INFO     | nearest_vp_to_stop:nearest_neighbor_for_stop:178 - nearest neighbor for speedmap_segments 2024-07-17: 0:02:16.592519
+2024-11-25 21:04:16.776 | INFO     | vp_around_stops:filter_to_nearest_two_vp:248 - nearest 2 vp for speedmap_segments 2024-07-17: 0:03:22.103136