leonardosalazar-cp
1d152c0dce
Wrapper application around upstream Vanna with: - Tenant-aware ChromaDB memory (per program/store) - ClickHouse RLS runner with introspection guards - PT-BR system prompt and chat translations - Custom Plotly chart generator (ranked bar, datetime coercion) - Embed bootstrap (theme pierce + i18n + markdown) shared by demo and React app - Event sink for chat turn observability
28 lines
871 B
Python
28 lines
871 B
Python
"""Quick connectivity test for ClickHouse Cloud."""
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import os
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import clickhouse_connect
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from dotenv import load_dotenv
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load_dotenv()
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client = clickhouse_connect.get_client(
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host=os.environ["CLICKHOUSE_HOST"],
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port=int(os.environ["CLICKHOUSE_PORT"]),
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username=os.environ["CLICKHOUSE_USER"],
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password=os.environ["CLICKHOUSE_PASSWORD"],
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database=os.environ["CLICKHOUSE_DATABASE"],
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secure=os.environ.get("CLICKHOUSE_SECURE", "true").lower() == "true",
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)
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print("Server version:", client.server_version)
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print("Current database:", client.query("SELECT currentDatabase()").result_rows[0][0])
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tables = client.query(
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"SELECT name FROM system.tables WHERE database = currentDatabase() ORDER BY name"
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).result_rows
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print(f"\nTables in '{os.environ['CLICKHOUSE_DATABASE']}' ({len(tables)}):")
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for (t,) in tables:
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print(f" - {t}")
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client.close()
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