(feat) update pages

pages/orchestration/archived_bots/README.md

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+# Archived Bots
+
+## Overview
+The Archived Bots page provides comprehensive access to historical bot database files, enabling users to analyze past trading performance, review strategies, and extract insights from archived bot data.
+
+## Key Features
+
+### Database Management
+- **Database Discovery**: Automatically lists all available database files in the system
+- **Database Status**: Shows connection status and basic information for each database
+- **Database Summary**: Provides overview statistics and metadata for each database
+
+### Historical Data Analysis
+- **Performance Metrics**: Detailed trade-based performance analysis including PnL, win/loss ratios, and key statistics
+- **Trade History**: Complete record of all trades with filtering and pagination
+- **Order History**: Comprehensive order book data with status filtering
+- **Position Tracking**: Historical position data with timeline analysis
+
+### Strategy Insights
+- **Executor Analysis**: Review strategy executor performance and configuration
+- **Controller Data**: Access to controller configurations and their historical performance
+- **Strategy Comparison**: Compare different strategy implementations and their results
+
+### Data Export & Visualization
+- **Export Functionality**: Download historical data in various formats (CSV, JSON)
+- **Performance Charts**: Interactive visualizations of trading performance over time
+- **Comparative Analysis**: Side-by-side comparison of different archived strategies
+
+## Usage Instructions
+
+### 1. Database Selection
+- View the list of available archived databases
+- Select a database to explore its contents
+- Check database status and connection health
+
+### 2. Performance Analysis
+- Navigate to the Performance tab to view trading metrics
+- Review key performance indicators (KPIs)
+- Analyze profit/loss trends and trading patterns
+
+### 3. Historical Data Review
+- Browse trade history with pagination controls
+- Filter orders by status, date range, or trading pair
+- Review position data and timeline
+
+### 4. Strategy Analysis
+- Examine executor configurations and performance
+- Review controller settings and their impact
+- Compare different strategy implementations
+
+### 5. Data Export
+- Select desired data range and format
+- Export historical data for external analysis
+- Download performance reports
+
+## Technical Implementation
+
+### Architecture
+- **Async API Integration**: Uses nest_asyncio for async database operations
+- **Database Connections**: Manages multiple database connections efficiently
+- **Pagination**: Implements efficient pagination for large datasets
+- **Error Handling**: Comprehensive error handling for database operations
+
+### Components
+- **Database Browser**: Interactive database selection and status display
+- **Performance Dashboard**: Real-time performance metrics and charts
+- **Data Grid**: Efficient display of large datasets with filtering
+- **Export Manager**: Handles data export in multiple formats
+
+### State Management
+- **Database Selection**: Tracks currently selected database
+- **Filter States**: Maintains filter settings across page navigation
+- **Pagination State**: Manages pagination across different data views
+- **Export Settings**: Remembers export preferences
+
+### API Integration
+- **ArchivedBotsRouter**: Async router for database operations
+- **Batch Operations**: Efficient bulk data retrieval
+- **Connection Pooling**: Manages database connections efficiently
+- **Error Recovery**: Automatic retry mechanisms for failed operations
+
+## Best Practices
+
+### Performance Optimization
+- Use pagination for large datasets
+- Implement efficient filtering on the backend
+- Cache frequently accessed data
+- Use async operations for database queries
+
+### User Experience
+- Provide clear status indicators
+- Show loading states for long operations
+- Implement progressive data loading
+- Offer keyboard shortcuts for navigation
+
+### Data Integrity
+- Validate database connections before operations
+- Handle missing or corrupted data gracefully
+- Provide clear error messages
+- Implement data consistency checks
+
+## File Structure
+```
+archived_bots/
+├── __init__.py
+├── README.md
+├── app.py                 # Main application file
+├── utils.py              # Utility functions
+└── components/           # Page-specific components
+    ├── database_browser.py
+    ├── performance_dashboard.py
+    ├── data_grid.py
+    └── export_manager.py
+```
+
+## Dependencies
+- **Backend**: ArchivedBotsRouter from hummingbot-api-client
+- **Frontend**: Streamlit components, plotly for visualization
+- **Utils**: nest_asyncio for async operations, pandas for data manipulation
+- **Components**: Custom styling components for consistent UI

pages/orchestration/archived_bots/__init__.py

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+# Archived Bots Page Module