Adding initial weather lookup and populating the database from csvs

main.py

@@ -1,7 +1,8 @@
 import numpy as np # helps with the math
 import matplotlib.pyplot as plt # to plot error during training
 from data.db_connect import Database
-from data.stats_importer import parse_csv
+from data.stats_importer import Importer
+from data.build_weather import Weather
 
 # input data
 inputs = np.array([[0, 0, 1, 0],
@@ -69,8 +70,13 @@ if __name__ == '__main__':
     db_conn.run_sql_file(fill_parks_path)
     db_conn.run_sql_file(fill_teams_path)
 
+    imp = Importer(db_conn)
+
     test_csv = "./data/stats/gl2022.csv"
-    print(parse_csv(test_csv))
+    print(imp.parse_one_file(test_csv))
+
+    #we = Weather()
+    #print(we.get_weather(39.26733000, -76.79831000, "20250706", 12))
 
 else:
     # create neural network