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ashe0042
Benchmark run complete: 595/600 evaluations, grounded cuts misstatements 56% vs naive
1a8d5dc | import os | |
| import time | |
| import psycopg2 | |
| from dotenv import load_dotenv | |
| load_dotenv() | |
| _DATABASE_URL = os.environ["DATABASE_URL"] | |
| def get_connection() -> psycopg2.extensions.connection: | |
| last_error = None | |
| for attempt in range(3): | |
| try: | |
| return psycopg2.connect(_DATABASE_URL) | |
| except psycopg2.OperationalError as e: | |
| last_error = e | |
| if attempt < 2: | |
| print(f" DB connection attempt {attempt+1} failed, retrying in 5s...") | |
| time.sleep(5) | |
| raise last_error | |
| def _enable_pgvector(conn: psycopg2.extensions.connection) -> None: | |
| with conn.cursor() as cur: | |
| cur.execute("CREATE EXTENSION IF NOT EXISTS vector") | |
| conn.commit() | |
| if __name__ == "__main__": | |
| conn = get_connection() | |
| _enable_pgvector(conn) | |
| with conn.cursor() as cur: | |
| cur.execute("SELECT version()") | |
| pg_version = cur.fetchone()[0] | |
| cur.execute( | |
| "SELECT extname FROM pg_extension WHERE extname = 'vector'" | |
| ) | |
| pgvector_row = cur.fetchone() | |
| conn.close() | |
| print(f"Postgres: {pg_version}") | |
| print(f"pgvector enabled: {pgvector_row is not None}") | |