#!/usr/bin/env python3
"""Check current data quality in cache.db"""
import sqlite3

conn = sqlite3.connect('/mnt/okcomputer/output/cache.db')

print("=" * 60)
print("CURRENT DATA QUALITY CHECK")
print("=" * 60)

# Check lots table
print("\n[*] Sample Lot Data:")
cursor = conn.execute("""
    SELECT lot_id, current_bid, bid_count, closing_time
    FROM lots
    LIMIT 10
""")
for row in cursor:
    print(f"  Lot: {row[0]}")
    print(f"    Current Bid: {row[1]}")
    print(f"    Bid Count: {row[2]}")
    print(f"    Closing Time: {row[3]}")

# Check auctions table
print("\n[*] Sample Auction Data:")
cursor = conn.execute("""
    SELECT auction_id, title, closing_time, first_lot_closing_time
    FROM auctions
    LIMIT 5
""")
for row in cursor:
    print(f"  Auction: {row[0]}")
    print(f"    Title: {row[1][:50]}...")
    print(f"    Closing Time: {row[2] if len(row) > 2 else 'N/A'}")
    print(f"    First Lot Closing: {row[3]}")

# Data completeness stats
print("\n[*] Data Completeness:")
cursor = conn.execute("""
    SELECT
        COUNT(*) as total,
        SUM(CASE WHEN current_bid IS NULL OR current_bid = '' THEN 1 ELSE 0 END) as missing_current_bid,
        SUM(CASE WHEN closing_time IS NULL OR closing_time = '' THEN 1 ELSE 0 END) as missing_closing_time,
        SUM(CASE WHEN bid_count IS NULL OR bid_count = 0 THEN 1 ELSE 0 END) as zero_bid_count
    FROM lots
""")
row = cursor.fetchone()
print(f"  Total lots: {row[0]:,}")
print(f"  Missing current_bid: {row[1]:,} ({100*row[1]/row[0]:.1f}%)")
print(f"  Missing closing_time: {row[2]:,} ({100*row[2]/row[0]:.1f}%)")
print(f"  Zero bid_count: {row[3]:,} ({100*row[3]/row[0]:.1f}%)")

conn.close()
print("\n" + "=" * 60)