feat: Add data models for disciplinary actions, organizations, and training centers

- Implemented DisciplinaryAction model for tracking disciplinary measures.
- Created Organization model to represent auditing organizations with relevant details.
- Developed TrainingCenter model for educational and methodological centers.
- Added methods to convert models to dictionaries for easy export.

feat: Implement parsers for auditors and organizations

- Developed AuditorsParser to scrape and parse auditor registry data.
- Created OrganizationsParser for scraping auditing organizations' registry.
- Implemented GenericRegistryParser for handling generic tabular data.

chore: Set up base parser functionality

- Established BaseParser class with common methods for making requests and parsing HTML.
- Added pagination handling and detailed page parsing capabilities.

feat: Implement Excel export functionality

- Created ExcelExporter class for exporting data to Excel files with formatting options.
- Added support for exporting multiple sheets and organization data specifically.

chore: Add logging utilities

- Implemented setup_logger function for consistent logging across the application.
- Configured logging to output to both console and file.

chore: Update requirements and scripts

- Added necessary dependencies for parsing, Excel handling, and logging.
- Created run.sh and run.fish scripts for easy execution of the parser.

models/audit_network.py

@@ -0,0 +1,55 @@
+"""
+Модель данных для сети аудиторских организаций
+"""
+
+from dataclasses import dataclass, field
+from typing import Optional, List, Dict
+from datetime import datetime
+
+
+@dataclass
+class AuditNetwork:
+    """Модель сети аудиторских организаций"""
+
+    # Основная информация
+    name: str
+    network_type: str  # "Российская" или "Международная"
+    registration_number: Optional[str] = None
+
+    # Участники
+    member_organizations: List[str] = field(default_factory=list)
+    member_count: Optional[int] = None
+
+    # Дополнительная информация
+    country: Optional[str] = None
+    headquarters: Optional[str] = None
+    website: Optional[str] = None
+    description: Optional[str] = None
+
+    # Контакты
+    contact_person: Optional[str] = None
+    phone: Optional[str] = None
+    email: Optional[str] = None
+
+    # Метаинформация
+    source_url: Optional[str] = None
+    parsed_at: datetime = field(default_factory=datetime.now)
+
+    def to_dict(self) -> Dict:
+        """Преобразование в словарь для экспорта"""
+        return {
+            "Название сети": self.name,
+            "Тип": self.network_type,
+            "Регистрационный номер": self.registration_number or "",
+            "Количество участников": self.member_count or "",
+            "Участники": ", ".join(self.member_organizations[:10]),  # Первые 10
+            "Страна": self.country or "",
+            "Штаб-квартира": self.headquarters or "",
+            "Сайт": self.website or "",
+            "Описание": self.description or "",
+            "Контактное лицо": self.contact_person or "",
+            "Телефон": self.phone or "",
+            "Email": self.email or "",
+            "URL источника": self.source_url or "",
+            "Дата сбора данных": self.parsed_at.strftime("%d.%m.%Y %H:%M:%S"),
+        }