Moving around csvs and better handling of duplicate data. Pulling all relevant data

.gitignore

@@ -2,5 +2,4 @@
 .Trash-1000
 target
 database
-data/stats/imported
 data/__pycache__

data/db_connect.py

@@ -23,10 +23,15 @@ class Database:
         else:
             return None
 
-    def selectall(self, query, values):
+    def selectall(self, query, values = None):
         # Query the database for the specified index
         cursor = self.db.cursor()
-        cursor.execute(query, values)
+
+        if values is None:
+            cursor.execute(query)
+        else:
+            cursor.execute(query, values)
+
         result = cursor.fetchall()
         if result:
             return result

data/get_data.py

@@ -253,8 +253,6 @@ def pull_training_data(database: Database, game_date: str, game_number: int, par
         print(f"Failed to get game data for date: {game_date}, number: {game_number}, park: {park_id}")
         return None
 
-    print(curr_game)
-
     select_teams = """
         SELECT
             win, team, home,
@@ -400,6 +398,4 @@ def pull_training_data(database: Database, game_date: str, game_number: int, par
         ]
     training_data = [*training_data, *prev_game_data]
 
-    print(f"{training_result}\n{training_data}")
-
     return (training_result, training_data)

data/stats_importer.py

@@ -11,33 +11,17 @@ class Importer:
     def __init__(self, database: Database):
         self.database = database
 
-    def parse_all_data(self, source_dir, dest_dir):
-        # Ensure the destination directory exists
-        if not os.path.exists(dest_dir):
-            os.makedirs(dest_dir)
-
+    def parse_all_data(self, source_dir):
         # List all files in the source and destination directories
         source_files = set(os.listdir(source_dir))
-        for filename in os.listdir(dest_dir):
-            if filename.endswith('.csv'):
-                source_files.discard(filename)
-
-        dest_files = set(os.listdir(dest_dir))
-
-        # Find files that are in the source but not in the destination
-        missing_files = source_files - dest_files
         
         # Copy any missing CSV files from the source directory to the destination directory
-        for filename in missing_files:
+        for filename in source_files:
             src_file = os.path.join(source_dir, filename)
             dest_file = os.path.join(dest_dir, filename)
 
-            if self.parse_one_file(f"{source_dir}/{filename}"):
-                try:
-                    shutil.copy(src_file, dest_file)
-                    print(f"Copied {filename} to {dest_dir}")
-                except Exception as e:
-                    print(f"Failed to copy {filename}: {e}")
+            if not self.parse_one_file(f"{source_dir}/{filename}"):
+                print(f"Failed to parse {source_dir}/{filename}")
 
     def parse_one_file(self, filepath):
         bb_dict = {}
@@ -61,6 +45,7 @@ class Importer:
                 time.sleep(60*60*24)
                 
             if not self.populate_database_with_stats(game):
+                print(f"Failed to parse and populate {game}")
                 return False            
         
         return True

main.py

@@ -17,12 +17,14 @@ inputs = np.array([[0, 0, 1, 0],
 outputs = np.array([[0], [0], [0], [1], [1], [1]])
 
 if __name__ == '__main__':
-    #db_file = "./database/baseball.db"
-    #db_conn = Database(db_file)
+    db_file = "./database/baseball.db"
+    db_conn = Database(db_file)
 
-    #pull_training_data(db_conn, "20240602", 0, "BAL12")
+    query = "SELECT game_date, game_number, park_id FROM games ORDER BY game_date"
+    all_games = db_conn.selectall(query)
 
-    print(get_sun_and_moon_phase(39.283889, -76.621667, "20240602"))
+    for game in all_games:
+        game_result, training_data = pull_training_data(db_conn, str(game[0]), game[1], game[2])
 
     """
     build_db_path = "./data/sql/build_db.sql"
@@ -34,7 +36,7 @@ if __name__ == '__main__':
     db_conn.run_sql_file(fill_teams_path)
 
     imp = Importer(db_conn)
-    imp.parse_all_data("./data/stats/to_import", "./data/stats/imported/")
+    imp.parse_all_data("./data/stats/", "./data/stats/imported/")
     """
 
 """