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"""
Fetches and formats NBA statistical leaders.
"""
import json
from tabulate import tabulate
from nba_api.stats.endpoints.leagueleaders import LeagueLeaders
BOLD = "\033[1m"
END = "\033[0m"
# Ordered list of (api_abbreviation, display_label)
CATEGORIES = [
("PTS", "Points"),
("REB", "Rebounds"),
("AST", "Assists"),
("STL", "Steals"),
("BLK", "Blocks"),
("EFF", "Efficiency"),
("FG_PCT", "FG%"),
("FT_PCT", "FT%"),
("FG3_PCT", "3P%"),
]
# Extra columns to show alongside RANK, PLAYER, TEAM, GP for each category
_EXTRA_COLS = {
"PTS": ["PTS", "FGM", "FGA", "FG_PCT", "FTM", "FTA", "FT_PCT"],
"REB": ["REB", "OREB", "DREB", "GP"],
"AST": ["AST", "TOV", "AST_TOV", "GP"],
"STL": ["STL", "TOV", "GP"],
"BLK": ["BLK", "PF", "GP"],
"EFF": ["EFF", "PTS", "REB", "AST", "GP"],
"FG_PCT": ["FG_PCT", "FGM", "FGA", "PTS"],
"FT_PCT": ["FT_PCT", "FTM", "FTA", "PTS"],
"FG3_PCT":["FG3_PCT", "FG3M", "FG3A", "PTS"],
}
_DISPLAY_NAMES = {
"FG_PCT": "FG%", "FT_PCT": "FT%", "FG3_PCT": "3P%",
"FG3M": "3PM", "FG3A": "3PA",
"AST_TOV": "AST/TO",
}
def fetch_leaders(category: str = "PTS") -> dict:
endpoint = LeagueLeaders(
stat_category_abbreviation=category,
season_type_all_star="Regular Season",
)
return json.loads(endpoint.get_json())
def get_leaders_table(data: dict, category: str = "PTS") -> str:
result = data["resultSet"]
headers = result["headers"]
rows = result["rowSet"]
base = ["RANK", "PLAYER", "TEAM", "GP"]
extra = [c for c in _EXTRA_COLS.get(category, [category]) if c not in base]
wanted = base + extra
idx = {h: i for i, h in enumerate(headers)}
table_data = [
[row[idx[col]] for col in wanted if col in idx]
for row in rows[:25]
]
display_headers = [_DISPLAY_NAMES.get(c, c) for c in wanted if c in idx]
cat_label = dict(CATEGORIES).get(category, category)
title = f"{BOLD}League Leaders — {cat_label}{END}"
return title + "\n" + tabulate(table_data, headers=display_headers, tablefmt="grid")
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