Files
ada 12d5c6eaff 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.
2025-10-25 20:31:45 +03:00

56 lines
2.1 KiB
Python

"""
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"),
}