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