print all training stats after GPX processing

main.py

@@ -11,6 +11,8 @@ from sqlalchemy.engine import Connection
 import gpxpy
 from bs4 import BeautifulSoup
 
+from stats import print_stats
+
 
 config = configparser.ConfigParser()
 config.read('config.ini')
@@ -117,6 +119,7 @@ def main():
     init_database()
     get_gpx_files_from_mail()
     db.transaction(process_gpx_files)
+    print_stats(db)
 
 
 if __name__ == '__main__':

stats.py

@@ -0,0 +1,20 @@
+from sqlalchemy.engine import Connection
+from tabulate import tabulate
+
+def print_stats(db: Connection):
+    overall_stats = """
+        select distinct
+		        td.t::date,
+		        date_trunc('second', training_duration.start_time::time) as start_time,
+		        date_trunc('second', training_duration.end_time::time) as end_time,
+                training_duration.duration as duration,
+		        round(((t.moving_distance)/1000)::numeric, 2) as distance,
+		        round(( (t.moving_distance / 1000) / (select extract(epoch from training_duration.duration)/3600))::numeric, 1) as pace_kmh
+	        from training t
+		        join training_data td on (t.id = td.training_id)
+		        join training_duration on (t.id = training_duration.id)
+        order by td.t::date, date_trunc('second', training_duration.start_time::time) asc
+    """
+
+    print(tabulate(list(db.execute(overall_stats)),
+            headers = ["date", "start_time", "end_time", "duration", "distance", "pace (km/h)"]))