Files
talia_bot/talia_bot/db.py
google-labs-jules[bot] ac52998d47 feat: Implement JSON-based conversational flow engine and add all flow files
This commit finalizes the implementation of the JSON-driven conversational flow engine.

Key changes:
- Introduces `flow_engine.py` to manage loading and processing conversational flows from external files.
- Adds the complete set of individual JSON files for all admin, crew, and client flows under the `talia_bot/data/flows/` directory.
- Integrates the flow engine into `main.py` to handle user interactions based on the new modular flow definitions.

This resolves the issue where the flow files were missing from the repository, providing a complete and functional implementation.
2025-12-21 05:07:36 +00:00

49 lines
1.4 KiB
Python

# talia_bot/db.py
# This module will handle the database connection and operations.
import sqlite3
import logging
DATABASE_FILE = "talia_bot/data/users.db"
logger = logging.getLogger(__name__)
def get_db_connection():
"""Creates a connection to the SQLite database."""
conn = sqlite3.connect(DATABASE_FILE)
conn.row_factory = sqlite3.Row
return conn
def setup_database():
"""Sets up the database tables if they don't exist."""
try:
conn = get_db_connection()
cursor = conn.cursor()
# Create the users table
cursor.execute("""
CREATE TABLE IF NOT EXISTS users (
id INTEGER PRIMARY KEY AUTOINCREMENT,
telegram_id INTEGER UNIQUE NOT NULL,
role TEXT NOT NULL CHECK(role IN ('admin', 'crew', 'client')),
name TEXT,
employee_id TEXT,
branch TEXT
)
""")
conn.commit()
logger.info("Database setup complete. 'users' table is ready.")
except sqlite3.Error as e:
logger.error(f"Database error during setup: {e}")
finally:
if conn:
conn.close()
if __name__ == '__main__':
# This allows us to run the script directly to initialize the database
logging.basicConfig(level=logging.INFO)
logger.info("Running database setup manually...")
setup_database()
logger.info("Manual setup finished.")