Merge pull request #998 from cal-itp/jan-open-data

Jan open data

gtfs_funnel/Makefile

@@ -23,4 +23,4 @@ timeseries_preprocessing:
 
 
 funnel_gtfs_data: 
-	make download_gtfs_data && make preprocess
+	make download_gtfs_data && make preprocess && make timeseries_preprocessing

gtfs_funnel/logs/download_data.log

@@ -254,3 +254,19 @@
 2023-12-14 09:18:00.416 | INFO     | __main__:download_one_day:29 - # operators to run: 186
 2023-12-14 09:18:00.417 | INFO     | __main__:download_one_day:33 - *********** Download st data ***********
 2023-12-14 09:19:27.723 | INFO     | __main__:download_one_day:56 - execution time: 0:01:28.717577
+2024-01-18 09:12:06.100 | INFO     | __main__:download_one_day:46 - Analysis date: 2024-01-17
+2024-01-18 09:12:07.930 | INFO     | __main__:download_one_day:53 - # operators to run: 199
+2024-01-18 09:12:07.931 | INFO     | __main__:download_one_day:56 - *********** Download trips data ***********
+2024-01-18 09:12:28.153 | INFO     | __main__:download_one_day:86 - execution time: 0:00:22.039786
+2024-01-18 09:12:41.269 | INFO     | __main__:download_one_day:23 - Analysis date: 2024-01-17
+2024-01-18 09:12:43.052 | INFO     | __main__:download_one_day:30 - # operators to run: 199
+2024-01-18 09:12:43.053 | INFO     | __main__:download_one_day:33 - *********** Download stops data ***********
+2024-01-18 09:12:50.268 | INFO     | __main__:download_one_day:64 - execution time: 0:00:08.998308
+2024-01-18 09:13:04.008 | INFO     | __main__:download_one_day:22 - Analysis date: 2024-01-17
+2024-01-18 09:13:05.872 | INFO     | __main__:download_one_day:29 - # operators to run: 199
+2024-01-18 09:13:05.873 | INFO     | __main__:download_one_day:33 - *********** Download routelines data ***********
+2024-01-18 09:14:31.925 | INFO     | __main__:download_one_day:63 - execution time: 0:01:27.915930
+2024-01-18 09:14:45.890 | INFO     | __main__:download_one_day:21 - Analysis date: 2024-01-17
+2024-01-18 09:14:47.261 | INFO     | __main__:download_one_day:29 - # operators to run: 169
+2024-01-18 09:14:47.261 | INFO     | __main__:download_one_day:33 - *********** Download st data ***********
+2024-01-18 09:15:55.924 | INFO     | __main__:download_one_day:56 - execution time: 0:01:10.033714

gtfs_funnel/logs/download_vp_v2.log

@@ -163,3 +163,14 @@
 2023-12-14 09:30:16.066 | INFO     | __main__:<module>:110 - export concatenated vp: 0:02:31.828763
 2023-12-14 09:32:47.380 | INFO     | __main__:<module>:132 - remove batched parquets
 2023-12-14 09:32:47.381 | INFO     | __main__:<module>:135 - execution time: 0:05:09.568681
+2024-01-18 09:16:11.068 | INFO     | __main__:<module>:146 - Analysis date: 2024-01-17
+2024-01-18 09:17:57.400 | INFO     | __main__:loop_through_batches_and_download_vp:109 - exported batch 0 to GCS: 0:01:46.316442
+2024-01-18 09:18:45.455 | INFO     | __main__:loop_through_batches_and_download_vp:109 - exported batch 1 to GCS: 0:00:48.054406
+2024-01-18 09:21:29.535 | INFO     | __main__:loop_through_batches_and_download_vp:109 - exported batch 2 to GCS: 0:02:44.079653
+2024-01-18 09:22:58.591 | INFO     | __main__:loop_through_batches_and_download_vp:109 - exported batch 3 to GCS: 0:01:29.043459
+2024-01-18 09:22:59.889 | INFO     | __main__:<module>:153 - execution time: 0:06:48.805264
+2024-01-18 09:23:20.552 | INFO     | __main__:<module>:95 - Analysis date: 2024-01-17
+2024-01-18 09:23:26.671 | INFO     | __main__:<module>:103 - concat and filter batched data: 0:00:06.118910
+2024-01-18 09:25:33.713 | INFO     | __main__:<module>:110 - export concatenated vp: 0:02:07.041294
+2024-01-18 09:28:08.669 | INFO     | __main__:<module>:132 - remove batched parquets
+2024-01-18 09:28:08.670 | INFO     | __main__:<module>:135 - execution time: 0:04:48.117366

gtfs_funnel/route_typologies.py

@@ -8,7 +8,7 @@
 
 from calitp_data_analysis.geography_utils import WGS84
 from calitp_data_analysis import utils
-from segment_speed_utils import helpers, gtfs_schedule_wrangling, sched_rt_utils
+from segment_speed_utils import helpers, gtfs_schedule_wrangling
 from segment_speed_utils.project_vars import RT_SCHED_GCS, PROJECT_CRS
 
 catalog = intake.open_catalog(
@@ -26,7 +26,7 @@ def assemble_scheduled_trip_metrics(analysis_date: str):
         get_pandas = True
     )
 
-    time_of_day = (sched_rt_utils.get_trip_time_buckets(analysis_date)   
+    time_of_day = (gtfs_schedule_wrangling.get_trip_time_buckets(analysis_date)   
                    [["trip_instance_key", "time_of_day", 
                      "service_minutes"]]
                    .rename(columns = {"service_minutes": "sched_service_min"})
@@ -105,23 +105,12 @@ def add_common_shape(analysis_date: str):
     For route-direction df, add common_shape_id (most frequent shape)
     and attach that shape geometry
     """
-    common_shape = sched_rt_utils.most_common_shape_by_route_direction(analysis_date)
-
-    shapes = helpers.import_scheduled_shapes(
-        analysis_date, 
-        columns = ["shape_array_key", "geometry"],
-        crs = WGS84,
-        get_pandas = True
-    ).pipe(helpers.remove_shapes_outside_ca)
-
-    shapes_with_geom = pd.merge(
-        shapes,
-        common_shape,
-        on = "shape_array_key",
-        how = "inner"
+    common_shape = gtfs_schedule_wrangling.most_common_shape_by_route_direction(
+        analysis_date).pipe(
+        helpers.remove_shapes_outside_ca
     )
 
-    return shapes_with_geom
+    return common_shape
 
 
 def pop_density_by_shape(shape_df: gpd.GeoDataFrame):

gtfs_funnel/update_vars.py

@@ -8,7 +8,7 @@
 days = ["a", "b", "c", "d", "e", "f"]
 
 analysis_date_list = [
-    rt_dates.DATES["dec2023"]
+    rt_dates.DATES["jan2024"]
 ] 
 
 CONFIG_PATH = Path("config.yml")

high_quality_transit_areas/A1_download_rail_ferry_brt_stops.py

@@ -9,6 +9,7 @@
 import pandas as pd
 
 from calitp_data_analysis import utils
+from segment_speed_utils import helpers
 from update_vars import analysis_date, COMPILED_CACHED_VIEWS, TEMP_GCS
 
 
@@ -19,19 +20,19 @@ def filter_trips_to_route_type(analysis_date: str,
     from trips, might as well just get it from trips.
     """
 
-    trips = pd.read_parquet(
-        f"{COMPILED_CACHED_VIEWS}trips_{analysis_date}.parquet")
+    trips = helpers.import_scheduled_trips(
+        analysis_date,
+        columns = ["feed_key", "name", "trip_id", 
+                 "route_id", "route_type"],
+    )
 
     if isinstance(route_types, list):
         trips_subset = trips[trips.route_type.isin(route_types)]
 
     elif route_types == "brt": 
         trips_subset = filter_to_brt_trips(trips)
 
-    keep_cols = ["feed_key", "name", "trip_id", 
-                 "route_id", "route_type"]
-
-    trips_subset = (trips_subset[keep_cols]
+    trips_subset = (trips_subset
                     .drop_duplicates()
                     .reset_index(drop=True)
                    )
@@ -70,7 +71,8 @@ def filter_to_brt_trips(trips: pd.DataFrame) -> pd.DataFrame:
     return all_brt_trips
 
 
-def filter_unique_stops_for_trips(analysis_date: str, 
+def filter_unique_stops_for_trips(
+    analysis_date: str, 
     trip_df: pd.DataFrame
 ) -> gpd.GeoDataFrame:
     """
@@ -79,8 +81,11 @@ def filter_unique_stops_for_trips(analysis_date: str,
     
     Then attach the stop's point geometry.
     """
-    stop_times = dd.read_parquet(
-        f"{COMPILED_CACHED_VIEWS}st_{analysis_date}.parquet")
+    stop_times = helpers.import_scheduled_stop_times(
+        analysis_date,
+        with_direction = False,
+        get_pandas = True
+    )
 
     keep_stop_cols = [
         "feed_key", "name", 
@@ -89,22 +94,21 @@ def filter_unique_stops_for_trips(analysis_date: str,
         # let's keep route_id, since we double check in a notebook
     ]
 
-    stops_for_trips = dd.merge(
+    stops_for_trips = pd.merge(
         stop_times,
         trip_df,
         on = ["feed_key", "trip_id"],
         how = "inner"
     )[keep_stop_cols].drop_duplicates().reset_index(drop=True)
-
-    stops_present = stops_for_trips.compute()
-
+
     # Attach stop geometry
-    stops = gpd.read_parquet(
-        f"{COMPILED_CACHED_VIEWS}stops_{analysis_date}.parquet")
+    stops = helpers.import_scheduled_stops(
+        analysis_date,
+    )
 
     stops_with_geom = pd.merge(
         stops, 
-        stops_present,
+        stops_for_trips,
         on = ["feed_key", "stop_id"],
         how = "inner"
     )[keep_stop_cols + ["stop_name", "geometry"]]

high_quality_transit_areas/B2_sjoin_stops_to_segments.py

@@ -5,7 +5,6 @@
 Takes <1 min to run.
 - down from 1 hr in v2 (was part of B1)
 """
-import dask.dataframe as dd
 import datetime as dt
 import geopandas as gpd
 import numpy as np
@@ -223,8 +222,9 @@ def sjoin_stops_and_stop_times_to_hqta_segments(
     # (1) Aggregate stop times - by stop_id, find max trips in AM/PM peak
     # takes 1 min
     max_arrivals_by_stop = helpers.import_scheduled_stop_times(
-        analysis_date
-    ).compute().pipe(stop_times_aggregation_max_by_stop)
+        analysis_date,
+        get_pandas = True
+    ).pipe(stop_times_aggregation_max_by_stop)
 
     max_arrivals_by_stop.to_parquet(
         f"{GCS_FILE_PATH}max_arrivals_by_stop.parquet")

high_quality_transit_areas/C3_create_bus_hqta_types.py

@@ -90,7 +90,7 @@ def create_stops_along_corridors(all_stops: gpd.GeoDataFrame) -> gpd.GeoDataFram
     are stops that physically reside in the corridor.
     """
     bus_corridors = (prep_clip.prep_bus_corridors()
-                     [["hqta_segment_id", "geometry"]].compute()
+                     [["hqta_segment_id", "geometry"]]
                     )
 
     stop_cols = ["feed_key", "stop_id"]

high_quality_transit_areas/D1_assemble_hqta_points.py

@@ -63,10 +63,11 @@ def add_route_info(hqta_points: gpd.GeoDataFrame) -> gpd.GeoDataFrame:
     """    
     stop_times = helpers.import_scheduled_stop_times(
         analysis_date,
-        columns = ["feed_key", "stop_id", "trip_id"]
-    ).compute()
+        columns = ["feed_key", "stop_id", "trip_id"],
+        get_pandas = True,
+        with_direction = False
+    )
 
-
     trips = helpers.import_scheduled_trips(
         analysis_date,
         columns = ["feed_key", "trip_id", "route_id"],

high_quality_transit_areas/logs/A2_combine_stops.log

@@ -1,39 +1,3 @@
-2023-06-15 11:51:39.762 | INFO     | __main__:<module>:62 - Analysis date: 2023-06-14
-2023-06-15 11:51:52.187 | INFO     | __main__:<module>:70 - grabbed rail: 0:00:12.421736
-2023-06-15 11:52:01.910 | INFO     | __main__:<module>:79 - grabbed brt: 0:00:09.723123
-2023-06-15 11:52:11.381 | INFO     | __main__:<module>:86 - grabbed ferry: 0:00:09.470578
-2023-06-15 11:52:47.652 | INFO     | __main__:<module>:102 - concatenated datasets
-2023-06-15 11:52:47.970 | INFO     | __main__:<module>:113 - execution time: 0:01:08.204844
-2023-07-13 13:59:24.861 | INFO     | __main__:<module>:62 - Analysis date: 2023-07-12
-2023-07-13 13:59:37.238 | INFO     | __main__:<module>:70 - grabbed rail: 0:00:12.376481
-2023-07-13 13:59:47.134 | INFO     | __main__:<module>:79 - grabbed brt: 0:00:09.896631
-2023-07-13 13:59:57.116 | INFO     | __main__:<module>:86 - grabbed ferry: 0:00:09.981739
-2023-07-13 14:00:46.842 | INFO     | __main__:<module>:102 - concatenated datasets
-2023-07-13 14:00:47.170 | INFO     | __main__:<module>:113 - execution time: 0:01:22.308731
-2023-08-18 12:48:27.306 | INFO     | __main__:<module>:62 - Analysis date: 2023-08-16
-2023-08-18 12:48:38.821 | INFO     | __main__:<module>:70 - grabbed rail: 0:00:11.514351
-2023-08-18 12:48:49.269 | INFO     | __main__:<module>:79 - grabbed brt: 0:00:10.447112
-2023-08-18 12:48:59.596 | INFO     | __main__:<module>:86 - grabbed ferry: 0:00:10.327279
-2023-08-18 12:49:03.153 | INFO     | __main__:<module>:102 - concatenated datasets
-2023-08-18 12:49:03.447 | INFO     | __main__:<module>:113 - execution time: 0:00:36.140296
-2023-08-24 12:54:39.745 | INFO     | __main__:<module>:62 - Analysis date: 2023-08-15
-2023-08-24 12:54:51.144 | INFO     | __main__:<module>:70 - grabbed rail: 0:00:11.385730
-2023-08-24 12:55:00.777 | INFO     | __main__:<module>:79 - grabbed brt: 0:00:09.633543
-2023-08-24 12:55:10.047 | INFO     | __main__:<module>:86 - grabbed ferry: 0:00:09.269356
-2023-08-24 12:55:13.144 | INFO     | __main__:<module>:102 - concatenated datasets
-2023-08-24 12:55:13.389 | INFO     | __main__:<module>:113 - execution time: 0:00:33.630794
-2023-09-14 10:33:57.175 | INFO     | __main__:<module>:62 - Analysis date: 2023-09-13
-2023-09-14 10:34:08.175 | INFO     | __main__:<module>:70 - grabbed rail: 0:00:10.961122
-2023-09-14 10:34:25.675 | INFO     | __main__:<module>:79 - grabbed brt: 0:00:17.499849
-2023-09-14 10:34:36.922 | INFO     | __main__:<module>:86 - grabbed ferry: 0:00:11.247144
-2023-09-14 10:34:40.690 | INFO     | __main__:<module>:102 - concatenated datasets
-2023-09-14 10:34:40.912 | INFO     | __main__:<module>:113 - execution time: 0:00:43.697503
-2023-10-12 10:02:29.163 | INFO     | __main__:<module>:62 - Analysis date: 2023-10-11
-2023-10-12 10:02:45.333 | INFO     | __main__:<module>:70 - grabbed rail: 0:00:16.139227
-2023-10-12 10:03:00.460 | INFO     | __main__:<module>:79 - grabbed brt: 0:00:15.127002
-2023-10-12 10:03:15.453 | INFO     | __main__:<module>:86 - grabbed ferry: 0:00:14.992810
-2023-10-12 10:03:20.033 | INFO     | __main__:<module>:102 - concatenated datasets
-2023-10-12 10:03:20.191 | INFO     | __main__:<module>:113 - execution time: 0:00:50.997509
 2023-11-16 09:12:04.029 | INFO     | __main__:<module>:62 - Analysis date: 2023-11-15
 2023-11-16 09:12:14.463 | INFO     | __main__:<module>:70 - grabbed rail: 0:00:10.394794
 2023-11-16 09:12:23.893 | INFO     | __main__:<module>:79 - grabbed brt: 0:00:09.429984
@@ -46,3 +10,9 @@
 2023-12-14 09:36:30.851 | INFO     | __main__:<module>:86 - grabbed ferry: 0:00:11.753123
 2023-12-14 09:36:33.691 | INFO     | __main__:<module>:102 - concatenated datasets
 2023-12-14 09:36:33.911 | INFO     | __main__:<module>:113 - execution time: 0:00:38.935897
+2024-01-18 09:58:24.526 | INFO     | __main__:<module>:62 - Analysis date: 2024-01-17
+2024-01-18 09:58:34.242 | INFO     | __main__:<module>:70 - grabbed rail: 0:00:09.696271
+2024-01-18 09:58:44.295 | INFO     | __main__:<module>:79 - grabbed brt: 0:00:10.053002
+2024-01-18 09:58:52.667 | INFO     | __main__:<module>:86 - grabbed ferry: 0:00:08.372523
+2024-01-18 09:58:55.391 | INFO     | __main__:<module>:102 - concatenated datasets
+2024-01-18 09:58:55.639 | INFO     | __main__:<module>:113 - execution time: 0:00:31.093727

high_quality_transit_areas/logs/B1_create_hqta_segments.log

@@ -1,39 +1,3 @@
-2023-06-15 14:13:53.915 | INFO     | __main__:<module>:323 - Analysis date: 2023-06-14
-2023-06-15 14:14:00.831 | INFO     | __main__:<module>:342 - merge routes to trips: 0:00:06.915765
-2023-06-15 14:23:47.951 | INFO     | __main__:<module>:360 - cut segments: 0:09:47.120686
-2023-06-15 14:23:57.726 | INFO     | __main__:<module>:373 - dissolve: 0:00:09.774952
-2023-06-15 14:23:57.728 | INFO     | __main__:<module>:374 - total execution time: 0:10:03.811403
-2023-07-13 14:02:02.777 | INFO     | __main__:<module>:316 - Analysis date: 2023-07-12
-2023-07-13 14:09:13.599 | INFO     | __main__:<module>:335 - merge routes to trips: 0:07:10.821016
-2023-07-13 14:23:03.739 | INFO     | __main__:<module>:354 - cut segments: 0:13:50.140651
-2023-07-13 14:23:16.699 | INFO     | __main__:<module>:367 - dissolve: 0:00:12.959801
-2023-07-13 14:23:16.700 | INFO     | __main__:<module>:368 - total execution time: 
-2023-08-18 12:49:18.811 | INFO     | __main__:<module>:316 - Analysis date: 2023-08-16
-2023-08-18 12:49:26.398 | INFO     | __main__:<module>:335 - merge routes to trips: 0:00:07.586262
-2023-08-18 13:01:37.516 | INFO     | __main__:<module>:354 - cut segments: 0:12:11.118238
-2023-08-18 13:01:49.231 | INFO     | __main__:<module>:367 - dissolve: 0:00:11.714159
-2023-08-18 13:01:49.232 | INFO     | __main__:<module>:368 - total execution time: 0:12:30.418659
-2023-08-24 12:55:28.531 | INFO     | __main__:<module>:316 - Analysis date: 2023-08-15
-2023-08-24 12:55:35.823 | INFO     | __main__:<module>:335 - merge routes to trips: 0:00:07.289676
-2023-08-24 13:07:55.009 | INFO     | __main__:<module>:354 - cut segments: 0:12:19.185652
-2023-08-24 13:08:06.843 | INFO     | __main__:<module>:367 - dissolve: 0:00:11.834107
-2023-08-24 13:08:06.844 | INFO     | __main__:<module>:368 - total execution time: 0:12:38.309435
-2023-09-14 10:34:57.152 | INFO     | __main__:<module>:316 - Analysis date: 2023-09-13
-2023-09-14 10:35:05.904 | INFO     | __main__:<module>:335 - merge routes to trips: 0:00:08.739735
-2023-09-14 10:52:06.211 | INFO     | __main__:<module>:354 - cut segments: 0:17:00.306085
-2023-09-14 10:52:20.394 | INFO     | __main__:<module>:367 - dissolve: 0:00:14.183226
-2023-09-14 10:52:20.395 | INFO     | __main__:<module>:368 - total execution time: 0:17:23.229046
-2023-10-12 10:03:42.066 | INFO     | __main__:<module>:317 - Analysis date: 2023-10-11
-2023-10-12 10:03:53.787 | INFO     | __main__:<module>:336 - merge routes to trips: 0:00:11.703951
-2023-10-12 10:20:40.784 | INFO     | __main__:<module>:355 - cut segments: 0:16:46.996748
-2023-10-12 10:20:56.013 | INFO     | __main__:<module>:368 - dissolve: 0:00:15.229048
-2023-10-12 10:20:56.015 | INFO     | __main__:<module>:369 - total execution time: 0:17:13.929747
-2023-10-18 13:34:46.941 | INFO     | __main__:<module>:285 - Analysis date: 2023-10-11
-2023-10-18 13:34:54.061 | INFO     | __main__:<module>:302 - merge routes to trips: 0:00:07.120037
-2023-10-18 13:40:54.360 | INFO     | __main__:<module>:285 - Analysis date: 2023-10-11
-2023-10-18 13:41:01.280 | INFO     | __main__:<module>:302 - merge routes to trips: 0:00:06.918956
-2023-10-18 13:44:48.351 | INFO     | __main__:<module>:321 - cut segments: 0:03:47.071447
-2023-10-18 13:44:48.352 | INFO     | __main__:<module>:324 - total execution time: 0:03:53.991597
 2023-11-16 09:12:55.591 | INFO     | __main__:<module>:285 - Analysis date: 2023-11-15
 2023-11-16 09:13:04.502 | INFO     | __main__:<module>:302 - merge routes to trips: 0:00:08.895632
 2023-11-16 09:17:22.521 | INFO     | __main__:<module>:321 - cut segments: 0:04:18.018810
@@ -42,3 +6,7 @@
 2023-12-14 10:08:44.979 | INFO     | __main__:<module>:300 - merge routes to trips: 0:00:06.316979
 2023-12-14 10:13:20.976 | INFO     | __main__:<module>:321 - cut segments: 0:04:35.996986
 2023-12-14 10:13:20.977 | INFO     | __main__:<module>:324 - total execution time: 0:04:42.315076
+2024-01-18 09:59:08.541 | INFO     | __main__:<module>:281 - Analysis date: 2024-01-17
+2024-01-18 09:59:13.575 | INFO     | __main__:<module>:298 - merge routes to trips: 0:00:04.987542
+2024-01-18 10:02:53.782 | INFO     | __main__:<module>:319 - cut segments: 0:03:40.206635
+2024-01-18 10:02:53.782 | INFO     | __main__:<module>:322 - total execution time: 0:03:45.194697

high_quality_transit_areas/logs/B2_sjoin_stops_to_segments.log

@@ -1,16 +1,6 @@
-2023-06-15 14:28:04.000 | INFO     | __main__:<module>:221 - Analysis date: 2023-06-14
-2023-06-15 14:28:55.700 | INFO     | __main__:<module>:257 - Execution time: 0:00:51.628311
-2023-07-13 14:23:33.957 | INFO     | __main__:<module>:221 - Analysis date: 2023-07-12
-2023-07-13 14:24:33.786 | INFO     | __main__:<module>:257 - Execution time: 0:00:59.827878
-2023-08-18 13:02:06.564 | INFO     | __main__:<module>:221 - Analysis date: 2023-08-16
-2023-08-18 13:03:03.065 | INFO     | __main__:<module>:257 - Execution time: 0:00:56.500728
-2023-08-24 13:08:21.824 | INFO     | __main__:<module>:221 - Analysis date: 2023-08-15
-2023-08-24 13:09:18.294 | INFO     | __main__:<module>:257 - Execution time: 0:00:56.467890
-2023-09-14 10:52:37.176 | INFO     | __main__:<module>:221 - Analysis date: 2023-09-13
-2023-09-14 10:53:42.335 | INFO     | __main__:<module>:257 - Execution time: 0:01:05.142502
-2023-10-12 10:21:16.171 | INFO     | __main__:<module>:221 - Analysis date: 2023-10-11
-2023-10-12 10:22:25.362 | INFO     | __main__:<module>:257 - Execution time: 0:01:09.165243
 2023-11-16 09:21:06.274 | INFO     | __main__:<module>:222 - Analysis date: 2023-11-15
 2023-11-16 09:21:58.902 | INFO     | __main__:<module>:261 - Execution time: 0:00:52.626940
 2023-12-14 10:14:11.102 | INFO     | __main__:<module>:219 - Analysis date: 2023-12-13
 2023-12-14 10:14:57.210 | INFO     | __main__:<module>:258 - Execution time: 0:00:46.106794
+2024-01-18 10:03:07.367 | INFO     | __main__:<module>:219 - Analysis date: 2024-01-17
+2024-01-18 10:03:43.325 | INFO     | __main__:<module>:258 - Execution time: 0:00:35.921890