Spaces:
Build error
Build error
Update app.py
Browse files
app.py
CHANGED
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@@ -461,7 +461,7 @@ def process_code_file(file_obj):
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language = detect_language(file_extension)
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# Calculate metrics
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metrics =
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# Create vectorstore if embeddings are available
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session_id = None
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@@ -493,86 +493,18 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
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</div>
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""")
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value="llama3-70b-8192",
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label="Select Model"
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)
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# Developer Tools Section
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gr.Markdown("### Developer Tools", elem_classes="tool-title")
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with gr.Group(elem_classes="tool-container"): # Replace Box with Group
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with gr.Tabs():
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with gr.TabItem("GitHub Search"):
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repo_query = gr.Textbox(label="Search Query", placeholder="Enter keywords to search for repositories")
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with gr.Row():
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language = gr.Dropdown(
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choices=["any", "JavaScript", "Python", "Java", "C++", "TypeScript", "Go", "Rust", "PHP", "C#"],
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value="any",
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label="Language"
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)
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min_stars = gr.Dropdown(
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choices=["0", "10", "50", "100", "1000", "10000"],
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value="0",
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label="Min Stars"
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)
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sort_by = gr.Dropdown(
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choices=["stars", "forks", "updated"],
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value="stars",
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label="Sort By"
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)
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repo_search_btn = gr.Button("Search Repositories")
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with gr.TabItem("Stack Overflow"):
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stack_query = gr.Textbox(label="Search Query", placeholder="Enter your technical question")
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with gr.Row():
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tag = gr.Dropdown(
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choices=["any", "python", "javascript", "java", "c++", "react", "node.js", "android", "ios", "sql"],
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value="any",
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label="Tag"
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)
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so_sort_by = gr.Dropdown(
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choices=["votes", "newest", "activity"],
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value="votes",
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label="Sort By"
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)
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so_search_btn = gr.Button("Search Stack Overflow")
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with gr.TabItem("Code Explainer"):
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code_input = gr.Textbox(
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label="Code to Explain",
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placeholder="Paste your code here...",
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lines=10
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)
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explain_btn = gr.Button("Explain Code")
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with gr.Column(scale=2, min_width=600):
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with gr.Tabs():
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with gr.TabItem("Code Analysis"):
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with gr.Column(elem_classes="code-viewer-container"):
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code_metrics = gr.Markdown("No code analyzed yet", elem_classes="stats-box")
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code_recommendations = gr.Markdown("", elem_classes="recommendations-box")
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with gr.TabItem("GitHub Results"):
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repo_results = gr.Markdown("Search for repositories to see results here")
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with gr.TabItem("Stack Overflow Results"):
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stack_results = gr.Markdown("Search for questions to see results here")
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with gr.TabItem("Code Explanation"):
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code_explanation = gr.Markdown("Paste your code and click 'Explain Code' to see an explanation here")
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with gr.Row(elem_classes="container"):
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with gr.Column(scale=2, min_width=600):
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chatbot = gr.Chatbot(
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height=500,
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show_copy_button=True,
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@@ -587,8 +519,73 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
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)
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send_btn = gr.Button("Send", scale=1)
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clear_btn = gr.Button("Clear Conversation")
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#
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upload_button.click(
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process_code_file,
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inputs=[file_input],
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@@ -607,7 +604,7 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
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inputs=[code_state],
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outputs=[code_metrics]
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).then(
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lambda state:
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inputs=[code_state],
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outputs=[code_recommendations]
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)
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@@ -693,20 +690,64 @@ def calculate_complexity_metrics(content, language):
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return metrics
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def
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"""
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language = detect_language(file_extension)
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# Calculate metrics
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metrics = enhanced_code_analysis(content, language)
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# Create vectorstore if embeddings are available
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session_id = None
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</div>
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""")
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# Main container with all functionality in tabs
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with gr.Tabs() as main_tabs:
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# Chat Assistant Tab
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with gr.TabItem("π¬ Chat Assistant", id=0):
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with gr.Row():
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with gr.Column(scale=1):
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model_dropdown = gr.Dropdown(
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choices=["llama3-70b-8192", "mixtral-8x7b-32768", "gemma-7b-it"],
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value="llama3-70b-8192",
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label="Model Selection"
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)
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chatbot = gr.Chatbot(
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height=500,
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show_copy_button=True,
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)
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send_btn = gr.Button("Send", scale=1)
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clear_btn = gr.Button("Clear Conversation")
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# Code Analysis Tab
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with gr.TabItem("π Code Analysis", id=1):
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with gr.Row():
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with gr.Column(scale=1):
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file_input = gr.File(
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label="Upload Code File",
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file_types=[".py", ".js", ".java", ".cpp", ".c", ".cs", ".php", ".rb", ".go", ".ts"],
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type="binary"
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)
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upload_button = gr.Button("Analyze Code", variant="primary")
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file_status = gr.Markdown("No file uploaded yet")
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with gr.Column(scale=2):
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code_metrics = gr.Markdown("No code analyzed yet", elem_classes="stats-box")
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code_recommendations = gr.Markdown("", elem_classes="recommendations-box")
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# Developer Tools Tab
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with gr.TabItem("π Developer Tools", id=2):
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with gr.Tabs():
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with gr.TabItem("GitHub Search"):
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repo_query = gr.Textbox(label="Search Query", placeholder="Enter keywords to search for repositories")
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with gr.Row():
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language = gr.Dropdown(
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choices=["any", "JavaScript", "Python", "Java", "C++", "TypeScript", "Go", "Rust", "PHP", "C#"],
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value="any",
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label="Language"
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)
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min_stars = gr.Dropdown(
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choices=["0", "10", "50", "100", "1000", "10000"],
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value="0",
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label="Min Stars"
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)
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sort_by = gr.Dropdown(
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choices=["stars", "forks", "updated"],
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value="stars",
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label="Sort By"
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)
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repo_search_btn = gr.Button("Search Repositories")
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repo_results = gr.Markdown("Search for repositories to see results here")
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with gr.TabItem("Stack Overflow"):
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stack_query = gr.Textbox(label="Search Query", placeholder="Enter your technical question")
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with gr.Row():
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tag = gr.Dropdown(
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choices=["any", "python", "javascript", "java", "c++", "react", "node.js", "android", "ios", "sql"],
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value="any",
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label="Tag"
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)
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so_sort_by = gr.Dropdown(
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choices=["votes", "newest", "activity"],
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value="votes",
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label="Sort By"
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)
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so_search_btn = gr.Button("Search Stack Overflow")
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stack_results = gr.Markdown("Search for questions to see results here")
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with gr.TabItem("Code Explainer"):
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code_input = gr.Textbox(
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label="Code to Explain",
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placeholder="Paste your code here...",
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lines=10
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)
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explain_btn = gr.Button("Explain Code")
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code_explanation = gr.Markdown("Paste your code and click 'Explain Code' to see an explanation here")
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# Event Handlers
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upload_button.click(
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process_code_file,
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inputs=[file_input],
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inputs=[code_state],
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outputs=[code_metrics]
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).then(
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lambda state: generate_enhanced_recommendations(state),
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inputs=[code_state],
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outputs=[code_recommendations]
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)
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return metrics
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def enhanced_code_analysis(content, language):
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"""Improved code analysis with more metrics"""
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metrics = calculate_complexity_metrics(content, language)
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# Add security scanning
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security_issues = scan_security_issues(content, language)
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# Add best practices analysis
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best_practices = analyze_best_practices(content, language)
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# Add performance suggestions
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performance_tips = analyze_performance(content, language)
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return {
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**metrics,
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"security_issues": security_issues,
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"best_practices": best_practices,
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"performance_tips": performance_tips
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}
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def generate_enhanced_recommendations(metrics):
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"""Enhanced recommendations with more detail"""
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recommendations = []
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# Existing complexity checks
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if metrics.get("cyclomatic_complexity", 0) > 10:
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recommendations.append({
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"type": "complexity",
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"severity": "warning",
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"message": "π High cyclomatic complexity detected",
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"details": "Consider breaking down complex functions into smaller, more manageable pieces.",
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"examples": ["Extract repeated logic into helper functions", "Use early returns to reduce nesting"]
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})
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# Add security recommendations
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for issue in metrics.get("security_issues", []):
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recommendations.append({
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"type": "security",
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"severity": issue["severity"],
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"message": f"π {issue['title']}",
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"details": issue["description"],
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"fix": issue["recommendation"]
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})
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return format_recommendations(recommendations)
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def scan_security_issues(content, language):
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# This function is called but not defined
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pass
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def analyze_best_practices(content, language):
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# This function is called but not defined
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pass
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def analyze_performance(content, language):
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# This function is called but not defined
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pass
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def format_recommendations(recommendations):
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# This function is called but not defined
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pass
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