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Database Manager Module
Handles user registration data and verification logs
"""
import json
import sqlite3
import numpy as np
import logging
from datetime import datetime
from typing import Optional, Dict, Any, List
from pathlib import Path
logger = logging.getLogger(__name__)
class DatabaseManager:
"""
Manages user face data and verification logs using SQLite
"""
def __init__(self, db_path: str = "face_verification.db"):
"""
Initialize database manager
Args:
db_path: Path to SQLite database file
"""
self.db_path = db_path
self.conn = None
def initialize(self):
"""Initialize database and create tables"""
try:
self.conn = sqlite3.connect(self.db_path, check_same_thread=False)
self._create_tables()
logger.info(f"✓ Database initialized: {self.db_path}")
except Exception as e:
logger.error(f"Database initialization error: {e}")
raise
def _create_tables(self):
"""Create necessary database tables"""
cursor = self.conn.cursor()
# Users table
cursor.execute("""
CREATE TABLE IF NOT EXISTS users (
user_id TEXT PRIMARY KEY,
embedding BLOB NOT NULL,
image_path TEXT NOT NULL,
registered_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
# Verification logs table
cursor.execute("""
CREATE TABLE IF NOT EXISTS verification_logs (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id TEXT NOT NULL,
verified_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
is_match BOOLEAN NOT NULL,
confidence REAL NOT NULL,
is_live BOOLEAN,
FOREIGN KEY (user_id) REFERENCES users(user_id)
)
""")
# Create indexes
cursor.execute("""
CREATE INDEX IF NOT EXISTS idx_user_id
ON verification_logs(user_id)
""")
cursor.execute("""
CREATE INDEX IF NOT EXISTS idx_verified_at
ON verification_logs(verified_at)
""")
self.conn.commit()
logger.info("✓ Database tables created/verified")
def register_user(self, user_id: str, embedding: np.ndarray, image_path: str) -> bool:
"""
Register a new user with their face embedding
Args:
user_id: Unique user identifier
embedding: Face embedding vector
image_path: Path to stored profile image
Returns:
True if successful, False otherwise
"""
try:
cursor = self.conn.cursor()
# Convert embedding to bytes
embedding_bytes = embedding.tobytes()
# Insert or replace user
cursor.execute("""
INSERT OR REPLACE INTO users (user_id, embedding, image_path, updated_at)
VALUES (?, ?, ?, ?)
""", (user_id, embedding_bytes, image_path, datetime.now()))
self.conn.commit()
logger.info(f"✓ User {user_id} registered successfully")
return True
except Exception as e:
logger.error(f"User registration error: {e}")
self.conn.rollback()
return False
def get_user(self, user_id: str) -> Optional[Dict[str, Any]]:
"""
Get user data by user_id
Args:
user_id: User identifier
Returns:
User data dictionary or None
"""
try:
cursor = self.conn.cursor()
cursor.execute("""
SELECT user_id, embedding, image_path, registered_at, updated_at
FROM users
WHERE user_id = ?
""", (user_id,))
row = cursor.fetchone()
if row is None:
return None
# Convert embedding bytes back to numpy array
embedding = np.frombuffer(row[1], dtype=np.float64)
return {
'user_id': row[0],
'embedding': embedding,
'image_path': row[2],
'registered_at': row[3],
'updated_at': row[4]
}
except Exception as e:
logger.error(f"Get user error: {e}")
return None
def user_exists(self, user_id: str) -> bool:
"""
Check if user exists in database
Args:
user_id: User identifier
Returns:
True if user exists, False otherwise
"""
try:
cursor = self.conn.cursor()
cursor.execute("SELECT 1 FROM users WHERE user_id = ?", (user_id,))
return cursor.fetchone() is not None
except Exception as e:
logger.error(f"User exists check error: {e}")
return False
def record_verification(self, user_id: str, is_match: bool,
confidence: float, is_live: Optional[bool] = None) -> bool:
"""
Record a verification attempt
Args:
user_id: User identifier
is_match: Whether faces matched
confidence: Confidence score
is_live: Liveness detection result
Returns:
True if successful, False otherwise
"""
try:
cursor = self.conn.cursor()
cursor.execute("""
INSERT INTO verification_logs (user_id, is_match, confidence, is_live)
VALUES (?, ?, ?, ?)
""", (user_id, is_match, confidence, is_live))
self.conn.commit()
logger.debug(f"✓ Verification logged for user {user_id}")
return True
except Exception as e:
logger.error(f"Verification logging error: {e}")
self.conn.rollback()
return False
def get_user_verification_history(self, user_id: str, limit: int = 10) -> List[Dict[str, Any]]:
"""
Get verification history for a user
Args:
user_id: User identifier
limit: Maximum number of records to return
Returns:
List of verification records
"""
try:
cursor = self.conn.cursor()
cursor.execute("""
SELECT id, verified_at, is_match, confidence, is_live
FROM verification_logs
WHERE user_id = ?
ORDER BY verified_at DESC
LIMIT ?
""", (user_id, limit))
rows = cursor.fetchall()
history = []
for row in rows:
history.append({
'id': row[0],
'verified_at': row[1],
'is_match': bool(row[2]),
'confidence': row[3],
'is_live': bool(row[4]) if row[4] is not None else None
})
return history
except Exception as e:
logger.error(f"Get verification history error: {e}")
return []
def get_statistics(self) -> Dict[str, Any]:
"""
Get system statistics
Returns:
Dictionary with statistics
"""
try:
cursor = self.conn.cursor()
# Total users
cursor.execute("SELECT COUNT(*) FROM users")
total_users = cursor.fetchone()[0]
# Total verifications
cursor.execute("SELECT COUNT(*) FROM verification_logs")
total_verifications = cursor.fetchone()[0]
# Successful verifications
cursor.execute("SELECT COUNT(*) FROM verification_logs WHERE is_match = 1")
successful_verifications = cursor.fetchone()[0]
# Success rate
success_rate = (successful_verifications / total_verifications * 100) if total_verifications > 0 else 0
# Liveness detection stats
cursor.execute("SELECT COUNT(*) FROM verification_logs WHERE is_live = 1")
live_detections = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(*) FROM verification_logs WHERE is_live = 0")
spoof_detections = cursor.fetchone()[0]
# Recent verifications (last 24 hours)
cursor.execute("""
SELECT COUNT(*) FROM verification_logs
WHERE verified_at >= datetime('now', '-1 day')
""")
recent_verifications = cursor.fetchone()[0]
# Average confidence
cursor.execute("SELECT AVG(confidence) FROM verification_logs WHERE is_match = 1")
avg_confidence = cursor.fetchone()[0] or 0
return {
'total_users': total_users,
'total_verifications': total_verifications,
'successful_verifications': successful_verifications,
'success_rate': round(success_rate, 2),
'live_detections': live_detections,
'spoof_detections': spoof_detections,
'recent_verifications_24h': recent_verifications,
'average_confidence': round(avg_confidence, 4)
}
except Exception as e:
logger.error(f"Get statistics error: {e}")
return {
'total_users': 0,
'total_verifications': 0,
'successful_verifications': 0,
'success_rate': 0,
'live_detections': 0,
'spoof_detections': 0,
'recent_verifications_24h': 0,
'average_confidence': 0
}
def delete_user(self, user_id: str) -> bool:
"""
Delete a user and their verification logs
Args:
user_id: User identifier
Returns:
True if successful, False otherwise
"""
try:
cursor = self.conn.cursor()
# Delete verification logs
cursor.execute("DELETE FROM verification_logs WHERE user_id = ?", (user_id,))
# Delete user
cursor.execute("DELETE FROM users WHERE user_id = ?", (user_id,))
self.conn.commit()
logger.info(f"✓ User {user_id} deleted successfully")
return True
except Exception as e:
logger.error(f"Delete user error: {e}")
self.conn.rollback()
return False
def get_all_users(self) -> List[Dict[str, Any]]:
"""
Get all registered users
Returns:
List of user data dictionaries
"""
try:
cursor = self.conn.cursor()
cursor.execute("""
SELECT user_id, image_path, registered_at, updated_at
FROM users
ORDER BY registered_at DESC
""")
rows = cursor.fetchall()
users = []
for row in rows:
users.append({
'user_id': row[0],
'image_path': row[1],
'registered_at': row[2],
'updated_at': row[3]
})
return users
except Exception as e:
logger.error(f"Get all users error: {e}")
return []
def close(self):
"""Close database connection"""
if self.conn:
self.conn.close()
logger.info("✓ Database connection closed")
def __del__(self):
"""Cleanup on deletion"""
self.close()
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