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6424951 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 | """Application configuration, constants, and logging setup."""
import logging
from typing import Final
# Database column names for player data
PLAYER_COLUMNS: Final[list[str]] = [
"FULL_NAME",
"AST",
"BLK",
"DREB",
"FG3A",
"FG3M",
"FG3_PCT",
"FGA",
"FGM",
"FG_PCT",
"FTA",
"FTM",
"FT_PCT",
"GP",
"GS",
"MIN",
"OREB",
"PF",
"PTS",
"REB",
"STL",
"TOV",
"FIRST_NAME",
"LAST_NAME",
"FULL_NAME_LOWER",
"FIRST_NAME_LOWER",
"LAST_NAME_LOWER",
"IS_ACTIVE",
]
# Columns used for ML model features
STAT_COLUMNS: Final[list[str]] = [
"PTS",
"OREB",
"DREB",
"AST",
"STL",
"BLK",
"TOV",
"FG3_PCT",
"FT_PCT",
"FGM",
]
# Game configuration
TEAM_SIZE: Final[int] = 5
MAX_QUERY_ATTEMPTS: Final[int] = 10
# Difficulty presets: (PTS, REB, AST, STL)
DIFFICULTY_PRESETS: Final[dict[str, tuple[int, int, int, int]]] = {
"Regular": (850, 400, 200, 60),
"93' Bulls": (1050, 500, 300, 80),
"All-Stars": (1250, 600, 400, 100),
"Dream Team": (1450, 700, 500, 120),
}
# Score ranges for game simulation
WINNER_SCORE_RANGE: Final[tuple[int, int]] = (90, 130)
LOSER_SCORE_RANGE: Final[tuple[int, int]] = (80, 120)
# Default fallback scores when generation fails
DEFAULT_WINNER_SCORE: Final[int] = 100
DEFAULT_LOSER_SCORE: Final[int] = 90
def setup_logging(level: int = logging.INFO) -> logging.Logger:
"""Configure and return the application logger.
Args:
level: Logging level (default: INFO)
Returns:
Configured logger instance
"""
logging.basicConfig(
level=level,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
datefmt="%Y-%m-%d %H:%M:%S",
)
logger = logging.getLogger("streamlit_nba")
logger.setLevel(level)
return logger
# Module-level logger instance
logger: Final[logging.Logger] = setup_logging()
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