Remove deprecated app_new.py and consolidate main application logic into main.py

- Deleted `app_new.py`, which was previously the main entry point for the dashboard application, to streamline the codebase.
- Consolidated the application initialization and callback registration logic into `main.py`, enhancing modularity and maintainability.
- Updated the logging and error handling practices in `main.py` to ensure consistent application behavior and improved debugging capabilities.

These changes simplify the application structure, aligning with project standards for modularity and maintainability.

data/collector/collector_connection_manager.py

@@ -27,6 +27,7 @@ class ConnectionManager:
                  reconnect_delay: float = 5.0,
                  logger=None,
                  state_telemetry: CollectorStateAndTelemetry = None):
+        
         self.exchange_name = exchange_name
         self.component_name = component_name
         self._max_reconnect_attempts = max_reconnect_attempts

data/common/aggregation/utils.py

@@ -7,6 +7,7 @@ and trade data aggregation.
 
 import re
 from typing import List, Tuple
+from utils.timeframe_utils import load_timeframe_options
 
 from ..data_types import StandardizedTrade, OHLCVCandle
 
@@ -42,7 +43,7 @@ def validate_timeframe(timeframe: str) -> bool:
     Returns:
         True if supported, False otherwise
     """
-    supported = ['1s', '5s', '10s', '15s', '30s', '1m', '5m', '15m', '30m', '1h', '4h', '1d']
+    supported = [item['value'] for item in load_timeframe_options()]
     return timeframe in supported
 
 

data/common/data_types.py

@@ -10,7 +10,8 @@ from decimal import Decimal
 from typing import Dict, List, Optional, Any
 from dataclasses import dataclass, field
 from enum import Enum
-import asyncio
+
+from utils.timeframe_utils import load_timeframe_options
 
 # from ..base_collector import DataType, MarketDataPoint  # Import from base
 
@@ -140,6 +141,12 @@ class OHLCVCandle:
         }
 
 
+def _load_supported_timeframes():
+    """Loads supported timeframe values from a JSON file."""
+    data = load_timeframe_options()
+    return [item['value'] for item in data]
+
+
 @dataclass
 class CandleProcessingConfig:
     """Configuration for candle processing - shared across exchanges."""
@@ -150,7 +157,7 @@ class CandleProcessingConfig:
     
     def __post_init__(self):
         """Validate configuration after initialization."""
-        supported_timeframes = ['1s', '5s', '10s', '15s', '30s', '1m', '5m', '15m', '30m', '1h', '4h', '1d']
+        supported_timeframes = _load_supported_timeframes()
         for tf in self.timeframes:
             if tf not in supported_timeframes:
                 raise ValueError(f"Unsupported timeframe: {tf}")