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Implement data collection architecture with modular components

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- Introduced a comprehensive data collection framework, including `CollectorServiceConfig`, `BaseDataCollector`, and `CollectorManager`, enhancing modularity and maintainability.
- Developed `CollectorFactory` for streamlined collector creation, promoting separation of concerns and improved configuration handling.
- Enhanced `DataCollectionService` to utilize the new architecture, ensuring robust error handling and logging practices.
- Added `TaskManager` for efficient management of asynchronous tasks, improving performance and resource management.
- Implemented health monitoring and auto-recovery features in `CollectorManager`, ensuring reliable operation of data collectors.
- Updated imports across the codebase to reflect the new structure, ensuring consistent access to components.

These changes significantly improve the architecture and maintainability of the data collection service, aligning with project standards for modularity, performance, and error handling.
This commit is contained in:
Vasily.onl
2025-06-10 13:40:28 +08:00
parent c28e4a9aaf
commit f6cb1485b1
18 changed files with 384 additions and 45 deletions
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database/repositories/raw_trade_repository.py
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@@ -6,7 +6,7 @@ from typing import Dict, Any, Optional, List
from sqlalchemy import desc, text
from ..models import RawTrade
from data.base_collector import MarketDataPoint
from data.collector.base_collector import MarketDataPoint
from .base_repository import BaseRepository, DatabaseOperationError