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Sleeping
File size: 2,086 Bytes
69e9d44 859f8b3 69e9d44 a09d4b8 69e9d44 859f8b3 69e9d44 d779a9b 69e9d44 d779a9b 69e9d44 d779a9b 69e9d44 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | from sqlalchemy import create_engine
from sqlalchemy.engine import Engine
from sqlalchemy.orm import sessionmaker
from app.services.utility import UtilityClass
import sqlite3
from pathlib import Path
import os
from dotenv import load_dotenv
load_dotenv()
# Path to SQLite DB file, configurable via environment variable or .env
print("DB_PATH from env:", os.getenv("DB_PATH"))
DB_PATH = os.getenv("DB_PATH")
# DB_PATH = UtilityClass.download_sqlite_db_from_dropbox(os.getenv("DROPBOX_TOKEN"), os.getenv("DROPBOX_DB_PATH"))
if not DB_PATH:
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
DB_PATH = os.path.join(BASE_DIR, "Banking.db")
DATABASE_URL = f"sqlite:///{DB_PATH}"
def get_connection():
db_path = DB_PATH
# Only allow connection if DB file exists
if not os.path.isfile(db_path):
raise FileNotFoundError(f"Database file not found at {db_path}. Set DB_PATH env variable or .env to the correct location.")
try:
# Remove timeout restriction to allow long-running queries
# Complex AI-generated queries may take time and should not be interrupted
conn = sqlite3.connect(db_path, check_same_thread=False)
conn.row_factory = sqlite3.Row # access columns by name
return conn
except sqlite3.OperationalError as e:
raise Exception(f"Error connecting to DB at {db_path}: {e}")
# Create engine with no timeout restrictions for complex queries
engine = create_engine(
DATABASE_URL,
connect_args={
"check_same_thread": False, # Needed for SQLite threading
"timeout": 0 # No timeout - wait indefinitely for query completion
},
pool_timeout=None, # No pool timeout
pool_recycle=-1 # No connection recycling timeout
)
# Session factory
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
def get_db_engine():
"""Return SQLAlchemy engine (used by LangChain SQLDatabase)."""
return engine
def get_db():
"""Provide DB session for queries."""
db = SessionLocal()
try:
yield db
finally:
db.close() |