Admin+id (pk)+username: String+email: String+created_at: DateTime+dashboard()+files()+file_logs()+users()+risk_results()+ai_console()+scan_file_ai(file_id: int)+delete_file(file_id: int)

User+id (pk)+username: String+email: String+password_hash: String+is_admin: Boolean+is_resigned: Boolean+created_at: DateTime+files: File[*]+file_logs: FileLog[*]+user_id (fk)+register()+login()+logout()+resign_user(user_id: int) (fk)

File+id (pk)+user_id: Integer+filename: String+filepath: String+file_type_code: Integer+type_name: String+size: Integer+uploaded_at: DateTime+risk_results: RiskResult[1]+file_id (fk)+user_id (fk)+upload_file()+myfile()+scan_file(file_id: int) (fk)+delete_file(file_id: int) (fk)+scan_file_ai(file_id: int) (fk)

RiskResult+id (pk)+file_id: Integer+filename: String+file_size: Integer+entropy: Float+risk_score: Float+is_anomaly: Boolean+attack_type: String+description: String+model_score: Float+created_at: DateTime+file_id (fk)+predict() → dict+calculate_entropy(data: bytes) → float+detect_file_attack_type(filename: str, content: bytes) → Optional[str]+attack_description(attack_type: Optional[str]) → str+calculate_risk_score(attack_type: Optional[str], file_size: int, entropy: float) → float

PredictAPItable: TrainRecord+id (pk)+timestamp: DateTime+source: String+record_count: Integer+status: String+message: Text+predict(): Response+health(): Response+predict_file(file_path: str) → dict (fk)

TrainRecord+id (pk)+timestamp: DateTime+source: String+record_count: Integer+status: String+message: Text+train_from_csv(filepath: str) → dict+train_from_files(file_list: List[str], label: Optional[str] = None) → dict+train_from_directory(directory_path: str, label: Optional[str] = None) → dict+train_from_any_file(filepath: str, label: Optional[str] = None) → dict+train_logs()

FileLog+id (pk)+user_id: Integer+file_id: Integer+username: String+action_type: String+timestamp: DateTime+ip_address: String+device: String+browser: String+status: String+file_name: String+is_admin: Boolean+device_type: Integer+browser_type: Integer+user_agent: String+status_code: Integer+request_type: Integer+file_type_code: Integer+login_success: Integer+session_duration: Integer+location: String+user_id (fk)+file_id (fk)+log_action(user: Any, action_type: str, file_name: Optional[str], status: str)

ModelTrainer+train_from_csv(filepath: str) → dict+train_from_files(file_list: List[str], label: Optional[str] = None) → dict (fk)+train_from_directory(directory_path: str, label: Optional[str] = None) → dict (fk)+train_from_any_file(filepath: str, label: str, label: Optional[str] = None) → dict

FeatureExtractor+ext_features: Dict[str, int]+calculate_entropy(data: bytes) → float+count_string_patterns(content: bytes, patterns: List[bytes]) → List[int]+extract_file_features(filename: str, content: bytes) → List[float] (fk)+build_feature_vector(file_data: dict) → List[float] (fk)

AI_Module_Config+MODEL_PATH: string+LABEL_ENCODER_PATH: string+FEATURE_COLUMNS_PATH: string+feature_columns: List[str]+pipeline: sklearn.Pipeline+label_encoder: sklearn.LabelEncoder

AttackDetectortable: TrainRecord+id (pk)+timestamp: DateTime+source: String+record_count: Integer+status: String+message: Text+train_from_csv(filepath: str) → dict+train_from_files(file_list: List[str], label: Optional[str] = None) → dict+train_from_directory(directory_path: str, label: Optional[str] = None) → dict+train_from_any_file(filepath: str, label: Optional[str] = None) → dict+train_logs()

class diagram