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import os
from sqlalchemy import create_engine, Column, Integer, Float, String, Boolean, ForeignKey, Text
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, relationship
# Determine the appropriate database path
project_root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
db_dir = os.path.join(project_root, "data")
os.makedirs(db_dir, exist_ok=True)
# Create SQLite database with absolute path for better reliability
SQLALCHEMY_DATABASE_URL = f"sqlite:///{os.path.join(db_dir, 'loan_applications.db')}"
# Create engine with check_same_thread=False for Streamlit compatibility
engine = create_engine(
SQLALCHEMY_DATABASE_URL,
connect_args={"check_same_thread": False}
)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()
# Define database models
class Application(Base):
__tablename__ = "applications"
id = Column(Integer, primary_key=True, index=True)
no_of_dependents = Column(Integer)
education = Column(String)
self_employed = Column(String)
income_annum = Column(Float)
loan_amount = Column(Float)
loan_term = Column(Integer)
cibil_score = Column(Integer)
residential_assets_value = Column(Float)
commercial_assets_value = Column(Float)
luxury_assets_value = Column(Float)
bank_asset_value = Column(Float)
predictions = relationship("Prediction", back_populates="application")
class Prediction(Base):
__tablename__ = "predictions"
id = Column(Integer, primary_key=True, index=True)
application_id = Column(Integer, ForeignKey("applications.id"))
prediction = Column(Boolean)
probability = Column(Float)
explanation = Column(Text)
feature_importance = Column(Text) # Stored as JSON string
application = relationship("Application", back_populates="predictions")
# Create tables with error handling
try:
Base.metadata.create_all(bind=engine)
except Exception as e:
print(f"Error creating database tables: {e}")
# If there's an error with the database file, try to recreate it
if 'file is not a database' in str(e):
try:
# Remove the corrupted database file
db_path = SQLALCHEMY_DATABASE_URL.replace('sqlite:///', '')
if os.path.exists(db_path):
os.remove(db_path)
print(f"Removed corrupted database file. Creating a new one.")
# Create tables again
Base.metadata.create_all(bind=engine)
except Exception as inner_e:
print(f"Failed to recreate database: {inner_e}")
# Dependency to get database session
def get_db():
db = SessionLocal()
try:
yield db
finally:
db.close() |