import sqlite3
import datetime
import os

DB_NAME = os.path.join(os.path.dirname(__file__), 'database.db')

def get_db_connection():
    try:
        conn = sqlite3.connect(DB_NAME)
        conn.row_factory = sqlite3.Row
        return conn
    except sqlite3.Error as e:
        print(f"Database error: {e}")
        return None

def init_db():
    conn = get_db_connection()
    if conn:
        try:
            conn.execute('''
                CREATE TABLE IF NOT EXISTS history (
                    id INTEGER PRIMARY KEY AUTOINCREMENT,
                    filename TEXT NOT NULL,
                    prediction TEXT NOT NULL,
                    confidence REAL NOT NULL,
                    fake_probability REAL NOT NULL,
                    real_probability REAL NOT NULL,
                    timestamp DATETIME DEFAULT CURRENT_TIMESTAMP
                )
            ''')
            conn.commit()
            print("✅ Database initialized successfully.")
        except sqlite3.Error as e:
            print(f"Error initializing database: {e}")
        
        # Migration: Add image_path, notes, tags if not exists
        try:
            conn.execute('ALTER TABLE history ADD COLUMN image_path TEXT')
            print("✅ Added image_path column.")
        except sqlite3.Error:
            pass # Column likely exists

        try:
            conn.execute('ALTER TABLE history ADD COLUMN notes TEXT')
            print("✅ Added notes column.")
        except sqlite3.Error:
            pass

        try:
            conn.execute('ALTER TABLE history ADD COLUMN tags TEXT')
            print("✅ Added tags column.")
        except sqlite3.Error:
            pass

        try:
            conn.execute('ALTER TABLE history ADD COLUMN session_id TEXT')
            print("✅ Added session_id column.")
        except sqlite3.Error:
            pass
        
        # Create feedback table for user feedback on predictions
        try:
            conn.execute('''
                CREATE TABLE IF NOT EXISTS feedback (
                    id INTEGER PRIMARY KEY AUTOINCREMENT,
                    scan_id INTEGER NOT NULL,
                    user_feedback TEXT NOT NULL,
                    predicted_label TEXT NOT NULL,
                    actual_label TEXT,
                    image_path TEXT,
                    confidence REAL,
                    timestamp DATETIME DEFAULT CURRENT_TIMESTAMP,
                    FOREIGN KEY (scan_id) REFERENCES history(id)
                )
            ''')
            conn.commit()
            print("✅ Feedback table initialized successfully.")
        except sqlite3.Error as e:
            print(f"Error initializing feedback table: {e}")
            
        finally:
            conn.close()

def add_scan(filename, prediction, confidence, fake_prob, real_prob, image_path="", session_id=None):
    conn = get_db_connection()
    if conn:
        try:
            cursor = conn.execute('''
                INSERT INTO history (filename, prediction, confidence, fake_probability, real_probability, image_path, session_id)
                VALUES (?, ?, ?, ?, ?, ?, ?)
            ''', (filename, prediction, confidence, fake_prob, real_prob, image_path, session_id))
            conn.commit()
            scan_id = cursor.lastrowid
            return scan_id
        except sqlite3.Error as e:
            print(f"Error adding scan: {e}")
            return None
        finally:
            conn.close()
    return None

def get_history(session_id=None):
    conn = get_db_connection()
    if conn:
        try:
            query = 'SELECT * FROM history'
            params = []
            if session_id:
                query += ' WHERE session_id = ? OR session_id IS NULL' # Allow seeing public/legacy items if desired, or strictly session specific
                # Strict session isolation:
                query = 'SELECT * FROM history WHERE session_id = ?'
                params = [session_id]
            else:
                # If no session_id provided (legacy behavior), maybe show all or none?
                # Let's show only items with NULL session_id to avoid leaking user data
                query = 'SELECT * FROM history WHERE session_id IS NULL'
            
            query += ' ORDER BY timestamp DESC'
            cursor = conn.execute(query, params)
            history = [dict(row) for row in cursor.fetchall()]
            return history
        except sqlite3.Error as e:
            print(f"Error retrieving history: {e}")
            return []
        finally:
            conn.close()
    return []

def clear_history(session_id=None):
    conn = get_db_connection()
    if conn:
        try:
            if session_id:
                conn.execute('DELETE FROM history WHERE session_id = ?', (session_id,))
            else:
                conn.execute('DELETE FROM history WHERE session_id IS NULL')
            conn.commit()
            return True
        except sqlite3.Error as e:
            print(f"Error clearing history: {e}")
            return False
        finally:
            conn.close()
    return False

def delete_scan(scan_id, session_id=None):
    conn = get_db_connection()
    if conn:
        try:
            if session_id:
                conn.execute('DELETE FROM history WHERE id = ? AND session_id = ?', (scan_id, session_id))
            else:
                conn.execute('DELETE FROM history WHERE id = ? AND session_id IS NULL', (scan_id,))
            conn.commit()
            return True
        except sqlite3.Error as e:
            print(f"Error deleting scan: {e}")
            return False
        finally:
            conn.close()
    return False

def update_scan(scan_id, data):
    conn = get_db_connection()
    if conn:
        try:
            fields = []
            values = []
            if 'notes' in data:
                fields.append("notes = ?")
                values.append(data['notes'])
            if 'tags' in data:
                fields.append("tags = ?")
                values.append(data['tags'])
            
            if not fields:
                return True
                
            values.append(scan_id)
            query = f"UPDATE history SET {', '.join(fields)} WHERE id = ?"
            conn.execute(query, tuple(values))
            conn.commit()
            return True
        except sqlite3.Error as e:
            print(f"Error updating scan: {e}")
            return False
        finally:
            conn.close()
    return False

def add_feedback(scan_id, is_correct, predicted_label, actual_label=None, image_path=None, confidence=None):
    """Record user feedback on a prediction"""
    conn = get_db_connection()
    if conn:
        try:
            user_feedback = 'correct' if is_correct else 'incorrect'
            conn.execute('''
                INSERT INTO feedback (scan_id, user_feedback, predicted_label, actual_label, image_path, confidence)
                VALUES (?, ?, ?, ?, ?, ?)
            ''', (scan_id, user_feedback, predicted_label, actual_label, image_path, confidence))
            conn.commit()
            return True
        except sqlite3.Error as e:
            print(f"Error adding feedback: {e}")
            return False
        finally:
            conn.close()
    return False

def get_incorrect_predictions():
    """Get all incorrect predictions for model retraining"""
    conn = get_db_connection()
    if conn:
        try:
            cursor = conn.execute('''
                SELECT f.*, h.filename 
                FROM feedback f
                LEFT JOIN history h ON f.scan_id = h.id
                WHERE f.user_feedback = 'incorrect'
                ORDER BY f.timestamp DESC
            ''')
            incorrect = [dict(row) for row in cursor.fetchall()]
            return incorrect
        except sqlite3.Error as e:
            print(f"Error retrieving incorrect predictions: {e}")
            return []
        finally:
            conn.close()
    return []

def get_feedback_stats():
    """Get statistics on user feedback"""
    conn = get_db_connection()
    if conn:
        try:
            cursor = conn.execute('''
                SELECT 
                    COUNT(*) as total_feedback,
                    SUM(CASE WHEN user_feedback = 'correct' THEN 1 ELSE 0 END) as correct_count,
                    SUM(CASE WHEN user_feedback = 'incorrect' THEN 1 ELSE 0 END) as incorrect_count
                FROM feedback
            ''')
            stats = dict(cursor.fetchone())
            return stats
        except sqlite3.Error as e:
            print(f"Error retrieving feedback stats: {e}")
            return {'total_feedback': 0, 'correct_count': 0, 'incorrect_count': 0}
        finally:
            conn.close()
    return {'total_feedback': 0, 'correct_count': 0, 'incorrect_count': 0}

# Initialize DB on module load
init_db()