feat: implement market page with QueryProvider and dynamic listings

- wrap root layout with QueryProvider for React Query
- replace market UnderConstruction placeholder with MarketClient and real data fetching
- implement search, pagination, and sort via search params using getActiveListings
- add necessary client components and queries
- update dependencies (e.g., prisma, pkg-types)

scripts/analyze_tables.py

@@ -0,0 +1,34 @@
+import sqlite3
+import json
+from pathlib import Path
+
+# Caminhos
+db_path = Path('data/tibiawiki.db')
+backup_path = Path('data/tibiawiki.db.backup')
+
+print('🔍 Analisando estrutura do banco...')
+
+# Conectar ao banco
+db = sqlite3.connect(str(db_path))
+db.row_factory = sqlite3.Row
+cursor = db.cursor()
+
+# 1. Listar todas as tabelas
+cursor.execute("SELECT name FROM sqlite_master WHERE type = 'table' AND name NOT LIKE 'sqlite_%' ORDER BY name")
+tables = [row[0] for row in cursor.fetchall()]
+print(f'✅ Encontradas {len(tables)} tabelas: {', '.join(tables[:5])}...')
+
+# 2. Analisar estrutura de uma tabela para entender as colunas comuns
+sample_table = tables[0]
+cursor.execute(f'PRAGMA table_info({sample_table})')
+sample_columns = [row[1] for row in cursor.fetchall()]
+print(f'📋 Colunas da tabela {sample_table}: {', '.join(sample_columns[:10])}...')
+
+# 3. Verificar uma amostra de dados
+cursor.execute(f'SELECT * FROM {sample_table} LIMIT 1')
+sample = cursor.fetchone()
+if sample:
+    print(f'📦 Exemplo de item: {dict(sample)}')
+    
+db.close()
+print('✅ Análise concluída!')