import sqlite3
conn = sqlite3.connect('/home/hmo/MoFin/data/mofin.db')
print('=== portfolio_summary schema ===')
for r in conn.execute("SELECT sql FROM sqlite_master WHERE name='portfolio_summary'"):
    print(r[0])
print()
print('=== latest row ===')
cur = conn.execute('SELECT * FROM portfolio_summary ORDER BY id DESC LIMIT 1')
cols = [d[0] for d in cur.description]
row = cur.fetchone()
for c, v in zip(cols, row):
    print(f'  {c} = {v}')
print()
print('=== decision_type distribution ===')
for r in conn.execute("SELECT decision_type, COUNT(*) FROM holding_strategies WHERE status='active' GROUP BY decision_type"):
    print(f'  {r[0]}: {r[1]}')
print()
print('=== full_analysis staleness ===')
for r in conn.execute("""
    SELECT decision_type,
           SUM(CASE WHEN full_analysis IS NULL OR LENGTH(full_analysis)<500 THEN 1 ELSE 0 END) as missing,
           SUM(CASE WHEN LENGTH(full_analysis)>=500 THEN 1 ELSE 0 END) as has_fa,
           COUNT(*) as total
    FROM holding_strategies WHERE status='active' GROUP BY decision_type"""):
    print(f'  {r[0]}: missing={r[1]} has={r[2]} total={r[3]}')