#!/usr/bin/env python3
"""Quick verification of Nike DB contents."""
import os

from dotenv import load_dotenv
import psycopg2

load_dotenv('/home/robert/gitea/nike/.env')

conn = psycopg2.connect(
    host=os.getenv('DB_HOST'),
    port=int(os.getenv('DB_PORT', 5432)),
    user=os.getenv('DB_USER'),
    password=os.getenv('DB_PASSWORD'),
    dbname='nike',
)
cur = conn.cursor()

tables = [
    'leagues', 'teams', 'players', 'fixtures', 'standings',
    'match_stats', 'match_events', 'player_season_stats',
    'player_match_stats', 'followed_entities',
]

print("Nike DB Contents")
print("-" * 40)
for table in tables:
    cur.execute(f"SELECT COUNT(*) FROM {table}")
    count = cur.fetchone()[0]
    status = "✅" if count > 0 else "•"
    print(f"  {status}  {table:<28} {count:>6} rows")

# TFC summary
print()
cur.execute("""
    SELECT t.name, COUNT(p.id) AS players
    FROM teams t
    LEFT JOIN players p ON p.current_team_id = t.id
    WHERE t.is_followed = TRUE
    GROUP BY t.name
""")
for row in cur.fetchall():
    print(f"  ⚽  {row[0]}: {row[1]} players in roster")

cur.execute("""
    SELECT COUNT(*) FROM fixtures f
    JOIN teams t ON (t.id = f.home_team_id OR t.id = f.away_team_id)
    WHERE t.is_followed = TRUE
""")
fix_count = cur.fetchone()[0]
print(f"  📅  Followed team fixtures: {fix_count}")

cur.execute("""
    SELECT match_date::date, home.name, away.name, home_goals, away_goals, status
    FROM fixtures f
    JOIN teams home ON home.id = f.home_team_id
    JOIN teams away ON away.id = f.away_team_id
    JOIN teams ft ON (ft.id = f.home_team_id OR ft.id = f.away_team_id)
    WHERE ft.is_followed = TRUE AND f.match_date >= NOW()
    ORDER BY f.match_date ASC
    LIMIT 3
""")
upcoming = cur.fetchall()
if upcoming:
    print()
    print("  Next fixtures:")
    for row in upcoming:
        print(f"    {row[0]}  {row[1]} vs {row[2]}  ({row[5]})")

cur.close()
conn.close()