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""" |
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Results Dashboard Component |
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This module provides the UI component for displaying the code review results. |
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""" |
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import gradio as gr |
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import logging |
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logger = logging.getLogger(__name__) |
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def create_results_dashboard(): |
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""" |
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Create the results dashboard component. |
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Returns: |
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gr.Tabs: The results dashboard component tabs. |
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""" |
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results_tabs = gr.Tabs(visible=False) |
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with results_tabs: |
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with gr.TabItem("Executive Summary"): |
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gr.Markdown("### 📊 Analysis Results") |
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with gr.Row(): |
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with gr.Column(scale=2): |
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gr.Markdown("#### 📝 Overview") |
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summary_text = gr.Markdown("") |
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with gr.Column(scale=1): |
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gr.Markdown("#### 📈 Key Metrics") |
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with gr.Row(): |
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gr.Label("Code Quality Score", value="N/A") |
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with gr.Row(): |
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gr.Label("Security Score", value="N/A") |
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with gr.Row(): |
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gr.Label("Performance Score", value="N/A") |
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with gr.TabItem("Technical Details"): |
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with gr.Accordion("Repository Structure", open=True): |
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repo_structure = gr.Markdown("") |
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with gr.Accordion("Language Breakdown", open=True): |
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language_breakdown = gr.BarPlot( |
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x="Language", |
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y="Lines of Code", |
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title="Language Distribution", |
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tooltip=["Language", "Lines of Code"], |
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height=300, |
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) |
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with gr.Accordion("Code Quality Issues", open=True): |
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quality_issues = gr.Dataframe( |
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headers=["File", "Line", "Issue", "Severity", "Description"], |
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datatype=["str", "number", "str", "str", "str"], |
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row_count=10, |
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) |
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with gr.TabItem("Security Analysis"): |
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with gr.Accordion("Vulnerabilities", open=True): |
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vulnerabilities = gr.Dataframe( |
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headers=["File", "Line", "Vulnerability", "Severity", "Description", "Recommendation"], |
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datatype=["str", "number", "str", "str", "str", "str"], |
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row_count=10, |
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) |
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with gr.Accordion("Dependency Issues", open=True): |
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dependency_issues = gr.Dataframe( |
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headers=["Package", "Current Version", "Recommended Version", "Vulnerability", "Severity"], |
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datatype=["str", "str", "str", "str", "str"], |
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row_count=10, |
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) |
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with gr.TabItem("Performance Analysis"): |
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with gr.Accordion("Performance Hotspots", open=True): |
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performance_hotspots = gr.Dataframe( |
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headers=["File", "Function", "Issue", "Impact", "Recommendation"], |
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datatype=["str", "str", "str", "str", "str"], |
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row_count=10, |
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) |
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with gr.Accordion("Resource Usage", open=True): |
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resource_usage = gr.BarPlot( |
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x="Component", |
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y="Usage", |
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title="Resource Usage", |
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tooltip=["Component", "Usage"], |
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height=300, |
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) |
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with gr.TabItem("Recommendations"): |
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with gr.Accordion("High Priority", open=True): |
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high_priority_recs = gr.Markdown("") |
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with gr.Accordion("Medium Priority", open=True): |
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medium_priority_recs = gr.Markdown("") |
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with gr.Accordion("Low Priority", open=True): |
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low_priority_recs = gr.Markdown("") |
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return results_tabs |
