File size: 5,744 Bytes
1a729f0
16e59e0
 
 
 
 
 
 
 
 
 
 
 
 
1a729f0
16e59e0
 
 
1a729f0
16e59e0
 
 
 
 
 
 
 
 
1a729f0
16e59e0
 
 
 
 
 
 
 
 
 
 
 
 
 
1a729f0
16e59e0
 
 
1a729f0
16e59e0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1a729f0
16e59e0
 
 
 
1a729f0
16e59e0
1a729f0
 
16e59e0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1a729f0
16e59e0
1a729f0
16e59e0
 
 
 
1a729f0
16e59e0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1a729f0
16e59e0
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
# database.py - Database handler untuk user dan history

from sqlalchemy import create_engine, Column, Integer, String, Float, DateTime, Text, Boolean, ForeignKey
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, relationship
from datetime import datetime
import os

Base = declarative_base()

class User(Base):
    __tablename__ = 'users'
    
    id = Column(Integer, primary_key=True)
    email = Column(String(100), unique=True, nullable=False)
    username = Column(String(50), unique=True, nullable=False)
    password_hash = Column(String(200), nullable=False)
    full_name = Column(String(100))
    is_verified = Column(Boolean, default=True)
    created_at = Column(DateTime, default=datetime.utcnow)
    last_login = Column(DateTime)
    
    detections = relationship('DetectionHistory', back_populates='user', cascade='all, delete-orphan')

class DetectionHistory(Base):
    __tablename__ = 'detection_history'
    
    id = Column(Integer, primary_key=True)
    user_id = Column(Integer, ForeignKey('users.id', ondelete='CASCADE'), nullable=False)
    text_preview = Column(String(200))
    text_full = Column(Text, nullable=True)
    file_name = Column(String(200), nullable=True)
    file_type = Column(String(50), nullable=True)
    ai_probability = Column(Float)
    human_probability = Column(Float)
    confidence = Column(Float)
    is_ai = Column(Integer)
    created_at = Column(DateTime, default=datetime.utcnow)
    
    user = relationship('User', back_populates='detections')

class Database:
    def __init__(self):
        self.engine = create_engine('sqlite:///detections.db', connect_args={'check_same_thread': False})
        Base.metadata.create_all(self.engine)
        self.Session = sessionmaker(bind=self.engine)
    
    # ============ USER METHODS ============
    
    def get_user_by_id(self, user_id):
        session = self.Session()
        try:
            return session.query(User).filter(User.id == user_id).first()
        finally:
            session.close()
    
    def get_user_by_email(self, email):
        session = self.Session()
        try:
            return session.query(User).filter(User.email == email).first()
        finally:
            session.close()
    
    def get_user_by_username(self, username):
        session = self.Session()
        try:
            return session.query(User).filter(User.username == username).first()
        finally:
            session.close()
    
    def create_user(self, username, email, password_hash, full_name=None):
        session = self.Session()
        try:
            user = User(
                username=username,
                email=email,
                password_hash=password_hash,
                full_name=full_name if full_name else username,
                is_verified=True
            )
            session.add(user)
            session.commit()
            session.refresh(user)
            return user
        except Exception as e:
            session.rollback()
            print(f"Error creating user: {e}")
            return None
        finally:
            session.close()
    
    def update_user(self, user_id, **kwargs):
        session = self.Session()
        try:
            user = session.query(User).filter(User.id == user_id).first()
            if user:
                for key, value in kwargs.items():
                    if hasattr(user, key):
                        setattr(user, key, value)
                session.commit()
                return True
            return False
        finally:
            session.close()
    
    # ============ DETECTION METHODS ============
    
    def add_detection(self, user_id, text, result, file_name=None, file_type=None):
        session = self.Session()
        try:
            history = DetectionHistory(
                user_id=user_id,
                text_preview=text[:150] + "..." if len(text) > 150 else text,
                text_full=text[:5000],
                file_name=file_name,
                file_type=file_type,
                ai_probability=result['ai_probability'],
                human_probability=result['human_probability'],
                confidence=result['confidence'],
                is_ai=1 if result['is_ai'] else 0
            )
            session.add(history)
            session.commit()
            return history.id
        except Exception as e:
            print(f"Error saving detection: {e}")
            session.rollback()
            return None
        finally:
            session.close()
    
    def get_user_history(self, user_id, limit=50):
        session = self.Session()
        try:
            history = session.query(DetectionHistory).filter(
                DetectionHistory.user_id == user_id
            ).order_by(
                DetectionHistory.created_at.desc()
            ).limit(limit).all()
            return history
        finally:
            session.close()
    
    def get_user_stats(self, user_id):
        session = self.Session()
        try:
            total = session.query(DetectionHistory).filter(DetectionHistory.user_id == user_id).count()
            ai_count = session.query(DetectionHistory).filter(
                DetectionHistory.user_id == user_id,
                DetectionHistory.is_ai == 1
            ).count()
            human_count = session.query(DetectionHistory).filter(
                DetectionHistory.user_id == user_id,
                DetectionHistory.is_ai == 0
            ).count()
            
            return {
                'total': total,
                'ai_count': ai_count,
                'human_count': human_count
            }
        finally:
            session.close()