noisedestroyers
36a576dc2c
- Fixed DataTable row selection and event handling - Added explicit column keys to prevent auto-generated keys - Implemented row-to-flow mapping for reliable selection tracking - Converted left metrics panel to horizontal top bar - Fixed all missing FlowStats/EnhancedAnalysisData attributes - Created comprehensive Textual API documentation in Documentation/textual/ - Added validation checklist to prevent future API mismatches - Preserved cursor position during data refreshes - Fixed RowKey type handling and event names The TUI now properly handles flow selection, displays metrics in a compact top bar, and correctly correlates selected rows with the details pane.
69 lines
2.4 KiB
Python
69 lines
2.4 KiB
Python
"""
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Statistical Analysis Widget - Metrics dashboard with real-time updates
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"""
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from textual.widgets import Static, TabbedContent, TabPane, DataTable
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from textual.containers import Vertical, Horizontal
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from typing import TYPE_CHECKING
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if TYPE_CHECKING:
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from ....analysis.core import EthernetAnalyzer
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class StatisticalAnalysisWidget(Vertical):
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"""
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Statistical Analysis Dashboard
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Features:
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- Real-time metrics display
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- Performance analysis charts
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- Outlier detection
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- Export capabilities
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"""
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def __init__(self, analyzer: 'EthernetAnalyzer', **kwargs):
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super().__init__(**kwargs)
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self.analyzer = analyzer
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def compose(self):
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"""Create the statistics dashboard"""
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yield Static("STATISTICAL ANALYSIS", id="stats-title")
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# Metrics summary
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with Horizontal(id="metrics-summary"):
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yield Static("Total Flows: 0", id="total-flows-metric")
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yield Static("Total Packets: 0", id="total-packets-metric")
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yield Static("Outliers: 0", id="outliers-metric")
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yield Static("Quality: 0%", id="quality-metric")
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# Analysis modes
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with TabbedContent():
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with TabPane("Performance", id="performance-tab"):
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perf_table = DataTable(id="performance-table")
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perf_table.add_columns("Metric", "Value", "Threshold", "Status")
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yield perf_table
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with TabPane("Protocol Distribution", id="protocol-tab"):
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proto_table = DataTable(id="protocol-table")
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proto_table.add_columns("Protocol", "Flows", "Packets", "Percentage")
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yield proto_table
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with TabPane("Timing Analysis", id="timing-tab"):
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timing_table = DataTable(id="timing-table")
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timing_table.add_columns("Flow", "Min", "Max", "Avg", "Jitter")
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yield timing_table
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with TabPane("Quality Metrics", id="quality-tab"):
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quality_table = DataTable(id="quality-table")
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quality_table.add_columns("Flow", "Enhanced", "Quality", "Outliers")
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yield quality_table
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def on_mount(self) -> None:
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"""Initialize the widget"""
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self.refresh_data()
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def refresh_data(self) -> None:
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"""Refresh statistical analysis data"""
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# TODO: Implement statistics data refresh
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pass |