File size: 4,162 Bytes
88d205f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Results Dashboard Component
This module provides the UI component for displaying the code review results.
"""
import gradio as gr
import logging
logger = logging.getLogger(__name__)
def create_results_dashboard():
"""
Create the results dashboard component.
Returns:
gr.Tabs: The results dashboard component tabs.
"""
# Create a Tabs component directly instead of wrapping in a Group
results_tabs = gr.Tabs(visible=False)
# Executive Summary Tab
with results_tabs:
with gr.TabItem("Executive Summary"):
gr.Markdown("### 📊 Analysis Results")
with gr.Row():
with gr.Column(scale=2):
gr.Markdown("#### 📝 Overview")
summary_text = gr.Markdown("")
with gr.Column(scale=1):
gr.Markdown("#### 📈 Key Metrics")
with gr.Row():
gr.Label("Code Quality Score", value="N/A")
with gr.Row():
gr.Label("Security Score", value="N/A")
with gr.Row():
gr.Label("Performance Score", value="N/A")
# Technical Details Tab
with gr.TabItem("Technical Details"):
with gr.Accordion("Repository Structure", open=True):
repo_structure = gr.Markdown("")
with gr.Accordion("Language Breakdown", open=True):
language_breakdown = gr.BarPlot(
x="Language",
y="Lines of Code",
title="Language Distribution",
tooltip=["Language", "Lines of Code"],
height=300,
)
with gr.Accordion("Code Quality Issues", open=True):
quality_issues = gr.Dataframe(
headers=["File", "Line", "Issue", "Severity", "Description"],
datatype=["str", "number", "str", "str", "str"],
row_count=10,
)
# Security Analysis Tab
with gr.TabItem("Security Analysis"):
with gr.Accordion("Vulnerabilities", open=True):
vulnerabilities = gr.Dataframe(
headers=["File", "Line", "Vulnerability", "Severity", "Description", "Recommendation"],
datatype=["str", "number", "str", "str", "str", "str"],
row_count=10,
)
with gr.Accordion("Dependency Issues", open=True):
dependency_issues = gr.Dataframe(
headers=["Package", "Current Version", "Recommended Version", "Vulnerability", "Severity"],
datatype=["str", "str", "str", "str", "str"],
row_count=10,
)
# Performance Analysis Tab
with gr.TabItem("Performance Analysis"):
with gr.Accordion("Performance Hotspots", open=True):
performance_hotspots = gr.Dataframe(
headers=["File", "Function", "Issue", "Impact", "Recommendation"],
datatype=["str", "str", "str", "str", "str"],
row_count=10,
)
with gr.Accordion("Resource Usage", open=True):
resource_usage = gr.BarPlot(
x="Component",
y="Usage",
title="Resource Usage",
tooltip=["Component", "Usage"],
height=300,
)
# Recommendations Tab
with gr.TabItem("Recommendations"):
with gr.Accordion("High Priority", open=True):
high_priority_recs = gr.Markdown("")
with gr.Accordion("Medium Priority", open=True):
medium_priority_recs = gr.Markdown("")
with gr.Accordion("Low Priority", open=True):
low_priority_recs = gr.Markdown("")
return results_tabs |