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Fix NBA leaderboard team ID field for logo fetching (#116)
* Fix NBA leaderboard team ID field for logo fetching - Add missing 'id' field to NBA team standings data structure - Enables proper logo fetching from assets/sports/nba_logos/ - Fixes 'id' KeyError when creating NBA leaderboard images - Includes diagnostic and test scripts for verification * Add NBA logo downloader script and documentation - download_nba_logos.py: Script to download all 30 NBA team logos from ESPN API - README_NBA_LOGOS.md: Comprehensive documentation for the logo downloader - Supports force re-download and quiet modes - Downloads to assets/sports/nba_logos/ for leaderboard integration * replace NBA Logos * return NBA logo
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Chuck
167
test/debug_nba_api.py
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167
test/debug_nba_api.py
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#!/usr/bin/env python3
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"""
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Diagnostic script to examine NBA API data structure and identify the missing 'id' field issue.
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"""
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import requests
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import json
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import logging
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from typing import Dict, Any
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# Set up logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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logger = logging.getLogger(__name__)
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def fetch_nba_teams_data() -> Dict[str, Any]:
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"""Fetch NBA teams data from ESPN API."""
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teams_url = "https://site.api.espn.com/apis/site/v2/sports/basketball/nba/teams"
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try:
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logger.info(f"Fetching NBA teams data from: {teams_url}")
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response = requests.get(teams_url, timeout=30)
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response.raise_for_status()
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data = response.json()
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logger.info(f"Successfully fetched NBA teams data")
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logger.info(f"Response structure keys: {list(data.keys())}")
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# Examine the structure
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sports = data.get('sports', [])
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if sports:
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logger.info(f"Number of sports: {len(sports)}")
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sport = sports[0]
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logger.info(f"Sport keys: {list(sport.keys())}")
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leagues = sport.get('leagues', [])
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if leagues:
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league = leagues[0]
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logger.info(f"League keys: {list(league.keys())}")
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teams = league.get('teams', [])
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logger.info(f"Number of teams: {len(teams)}")
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if teams:
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# Examine first team structure
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first_team = teams[0]
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logger.info(f"First team keys: {list(first_team.keys())}")
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team_data = first_team.get('team', {})
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logger.info(f"Team data keys: {list(team_data.keys())}")
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# Check for id field
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team_id = team_data.get('id')
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team_abbr = team_data.get('abbreviation')
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team_name = team_data.get('name')
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logger.info(f"Sample team: ID={team_id}, ABBR={team_abbr}, NAME={team_name}")
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if team_id:
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logger.info(f"Team ID field exists: {team_id}")
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else:
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logger.error("Team ID field is missing!")
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# Check a few more teams to confirm structure
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for i in range(min(5, len(teams))):
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team = teams[i].get('team', {})
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logger.info(f"Team {i+1}: ID={team.get('id')}, ABBR={team.get('abbreviation')}")
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return data
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except Exception as e:
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logger.error(f"Error fetching NBA teams data: {e}")
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return {}
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def fetch_nba_standings_data() -> Dict[str, Any]:
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"""Fetch NBA standings data from ESPN API."""
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standings_url = "https://site.api.espn.com/apis/v2/sports/basketball/nba/standings"
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try:
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logger.info(f"Fetching NBA standings data from: {standings_url}")
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response = requests.get(standings_url, timeout=30)
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response.raise_for_status()
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data = response.json()
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logger.info(f"Successfully fetched NBA standings data")
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logger.info(f"Response structure keys: {list(data.keys())}")
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# Check if standings has entries (direct structure)
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if 'standings' in data and 'entries' in data['standings']:
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entries = data['standings']['entries']
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logger.info(f"Number of standings entries (direct): {len(entries)}")
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if entries:
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# Examine first entry structure
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first_entry = entries[0]
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logger.info(f"First entry keys: {list(first_entry.keys())}")
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team_data = first_entry.get('team', {})
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logger.info(f"Team data keys: {list(team_data.keys())}")
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# Check for id field
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team_id = team_data.get('id')
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team_abbr = team_data.get('abbreviation')
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team_name = team_data.get('displayName')
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logger.info(f"Sample standings team: ID={team_id}, ABBR={team_abbr}, NAME={team_name}")
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if team_id:
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logger.info(f"Standings team ID field exists: {team_id}")
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else:
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logger.error("Standings team ID field is missing!")
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# Check children structure (divisions/conferences)
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if 'children' in data:
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children = data.get('children', [])
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logger.info(f"Number of children (divisions/conferences): {len(children)}")
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for i, child in enumerate(children):
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logger.info(f"Child {i+1} keys: {list(child.keys())}")
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child_name = child.get('displayName', 'Unknown')
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logger.info(f"Child {i+1} name: {child_name}")
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if 'standings' in child and 'entries' in child['standings']:
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entries = child['standings']['entries']
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logger.info(f"Child {i+1} has {len(entries)} entries")
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if entries:
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# Examine first entry in this child
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first_entry = entries[0]
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logger.info(f"Child {i+1} first entry keys: {list(first_entry.keys())}")
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team_data = first_entry.get('team', {})
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logger.info(f"Child {i+1} team data keys: {list(team_data.keys())}")
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# Check for id field
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team_id = team_data.get('id')
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team_abbr = team_data.get('abbreviation')
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team_name = team_data.get('displayName')
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logger.info(f"Child {i+1} sample team: ID={team_id}, ABBR={team_abbr}, NAME={team_name}")
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if team_id:
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logger.info(f"Child {i+1} team ID field exists: {team_id}")
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else:
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logger.error(f"Child {i+1} team ID field is missing!")
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return data
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except Exception as e:
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logger.error(f"Error fetching NBA standings data: {e}")
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return {}
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def main():
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"""Main diagnostic function."""
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logger.info("Starting NBA API data structure diagnosis")
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# Fetch teams data
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teams_data = fetch_nba_teams_data()
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# Fetch standings data
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standings_data = fetch_nba_standings_data()
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# Summary
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logger.info("Diagnosis complete")
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logger.info("Check the logs above to see if team 'id' fields are present")
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logger.info("The leaderboard manager needs team 'id' fields for logo fetching")
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if __name__ == "__main__":
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main()
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