mirror of
https://github.com/ada-dmitry/osint_parser_ada.git
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- 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.
66 lines
2.5 KiB
Python
66 lines
2.5 KiB
Python
"""
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Модель данных для дисциплинарной меры
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"""
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from dataclasses import dataclass, field
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from typing import Optional, Dict
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from datetime import datetime
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@dataclass
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class DisciplinaryAction:
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"""Модель меры дисциплинарного воздействия"""
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# Основная информация
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subject_name: str # ФИО аудитора или название организации
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subject_type: str # "auditor" или "organization"
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ornz: str
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action_type: str # Тип меры воздействия
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# Детали
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violation_description: str
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decision_date: datetime
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decision_number: Optional[str] = None
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# Дополнительная информация
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inn: Optional[str] = None
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region: Optional[str] = None
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effective_date: Optional[datetime] = None
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expiry_date: Optional[datetime] = None
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# Решение
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decision_body: Optional[str] = None
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appeal_status: Optional[str] = None
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# Метаинформация
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source_url: Optional[str] = None
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parsed_at: datetime = field(default_factory=datetime.now)
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def to_dict(self) -> Dict:
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"""Преобразование в словарь для экспорта"""
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return {
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"Субъект": self.subject_name,
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"Тип субъекта": (
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"Аудитор" if self.subject_type == "auditor" else "Организация"
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),
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"ОРНЗ": self.ornz,
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"Мера воздействия": self.action_type,
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"Описание нарушения": self.violation_description,
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"Дата решения": (
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self.decision_date.strftime("%d.%m.%Y") if self.decision_date else ""
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),
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"Номер решения": self.decision_number or "",
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"ИНН": self.inn or "",
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"Регион": self.region or "",
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"Дата вступления в силу": (
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self.effective_date.strftime("%d.%m.%Y") if self.effective_date else ""
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),
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"Дата окончания": (
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self.expiry_date.strftime("%d.%m.%Y") if self.expiry_date else ""
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),
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"Орган принявший решение": self.decision_body or "",
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"Статус обжалования": self.appeal_status or "",
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"URL источника": self.source_url or "",
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"Дата сбора данных": self.parsed_at.strftime("%d.%m.%Y %H:%M:%S"),
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}
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