GlowSenseAI / database.py
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deploy backend
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from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy.pool import QueuePool
import os
from dotenv import load_dotenv
load_dotenv()
# Format: postgresql://username:password@localhost:port/dbname
SQLALCHEMY_DATABASE_URL = os.getenv("DATABASE_URL")
# Optimized engine with connection pooling for faster queries
# Added connect_args with timeout to prevent hanging
engine = create_engine(
SQLALCHEMY_DATABASE_URL,
poolclass=QueuePool,
pool_size=10, # Number of connections to maintain
max_overflow=20, # Additional connections if pool is exhausted
pool_pre_ping=True, # Verify connections before using them
echo=False, # Set to True for SQL query logging (useful for debugging)
connect_args={
"connect_timeout": 5, # 5 second timeout for connection attempts
# Force session timezone + keep 5s statement timeout
"options": "-c TimeZone=Asia/Karachi -c statement_timeout=5000"
}
)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()
def get_db():
db = SessionLocal()
try:
yield db
finally:
db.close()