Files
LEDMatrix/test/debug_nba_api.py
Chuck 55161f309b fix: remove unused imports and bare exception aliases (pyflakes F401/F841)
Remove unused imports across 86 files in src/, web_interface/, test/,
and scripts/ using autoflake. No logic changes — only dead import
statements and unused names in from-imports are removed.

Also remove bare exception aliases where the variable is never
referenced in the handler body:
- src/cache/disk_cache.py: except (IOError, OSError, PermissionError) as e
- src/cache_manager.py: except (OSError, IOError, PermissionError) as perm_error
- src/plugin_system/resource_monitor.py: except Exception as e
- web_interface/app.py: except Exception as read_err

86 files changed, 205 lines removed, 18 pre-existing test failures unchanged.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-14 10:41:55 -04:00

167 lines
6.4 KiB
Python

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