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.

parsers/__init__.py

@@ -0,0 +1,15 @@
+"""
+Модуль парсеров для различных реестров СРО ААС
+"""
+
+from .base_parser import BaseParser
+from .organizations_parser import OrganizationsParser
+from .auditors_parser import AuditorsParser
+from .generic_parser import GenericRegistryParser
+
+__all__ = [
+    "BaseParser",
+    "OrganizationsParser",
+    "AuditorsParser",
+    "GenericRegistryParser",
+]