app.py

import streamlit as st
import tempfile
import json
from backend import (
    clone_repository,
    read_code_files,
    analyze_code,
    check_api_keys
)

def get_severity_color(severity):
    """Get color based on severity level."""
    colors = {
        "LOW": "#FFA500",  # Orange
        "MEDIUM": "#FF6B6B",  # Light Red
        "HIGH": "#FF0000"  # Red
    }
    return colors.get(severity.upper(), "#000000")

def render_analysis_results(analysis_text):
    """Render the analysis results according to the Pydantic model schema."""
    try:
        # Parse the analysis text as JSON
        analysis_data = json.loads(analysis_text)
        
        # Custom CSS for styling
        st.markdown("""
            <style>
                .severity-box {
                    background-color: #f0f2f6;
                    padding: 1rem;
                    border-radius: 0.5rem;
                    margin: 1rem 0;
                }
                .file-impact {
                    background-color: #ffffff;
                    padding: 1rem;
                    border-radius: 0.5rem;
                    margin: 0.5rem 0;
                    border: 1px solid #e1e4e8;
                }
                .impact-count {
                    background-color: #e6f3ff;
                    padding: 0.5rem 1rem;
                    border-radius: 0.5rem;
                    margin: 1rem 0;
                }
            </style>
        """, unsafe_allow_html=True)
        
        # Calculate severity level based on number of files impacted
        severity_level = analysis_data['severity_level']
        if(analysis_data['number_of_files_impacted'] == None or analysis_data['number_of_files_impacted'] == 0):
            severity_level = "No Impact"
        elif(analysis_data['number_of_files_impacted'] > 0 and analysis_data['number_of_files_impacted'] <= 3):
            severity_level = "Low"
        elif(analysis_data['number_of_files_impacted'] > 3 and analysis_data['number_of_files_impacted'] <= 8):
            severity_level = "Medium"
        else:
            severity_level = "High"
        
        # Display Severity Level with custom styling
        severity_color = get_severity_color(severity_level)
        st.markdown(f"""
            <div class="severity-box">
                <h3 style='color: {severity_color}; margin: 0; font-size: 1.5rem; font-weight: bold;'>
                    Severity Level: {severity_level}
                </h3>
            </div>
        """, unsafe_allow_html=True)
        
        # Display Number of Files Impacted with custom styling
        st.markdown(f"""
            <div class="impact-count">
                <h3 style='color: #1f77b4; margin: 0; font-size: 1.2rem;'>
                    Number of Files Impacted: {analysis_data['number_of_files_impacted']}
                </h3>
            </div>
        """, unsafe_allow_html=True)
        
        # Display Files Impacted with custom styling
        st.markdown("<h3 style='color: #2c3e50; font-size: 1.3rem;'>Files Impacted</h3>", unsafe_allow_html=True)
        
        for file_impact in analysis_data['files_impacted']:
            with st.expander(f"📄 {file_impact['files_impacted']}", expanded=False):
                st.markdown(f"""
                    <div class="file-impact">
                        <p style='color: #34495e; font-size: 1rem; line-height: 1.6;'>
                            {file_impact['impact_details']}
                        </p>
                    </div>
                """, unsafe_allow_html=True)
        
    except json.JSONDecodeError:
        # If the response is not valid JSON, display it as plain text
        st.markdown(analysis_text)
    except Exception as e:
        st.error(f"Error rendering analysis results: {str(e)}")
        st.markdown(analysis_text)

def main():
    st.title("Git Repository Code Analyzer")
    st.write("Enter a Git repository URL and a prompt to analyze the code.")

    # Example data
    examples = [
        {
            "Git URL": "https://github.com/kedar-bhumkar/SFRoutingFramework",
            "Code/Config Changes": "Enum USER_INTERFACE removed from file: BaseAppLiterals.cls"
        },
        {
            "Git URL": "https://github.com/kedar-bhumkar/SFDynamicFields",
            "Code/Config Changes": "Removed a field Value__c from DynamicFieldTable__c.object"

        }
    ]
    
    # Initialize session state if not exists
    if 'selected_example' not in st.session_state:
        st.session_state.selected_example = None
    if 'openai_key' not in st.session_state:
        st.session_state.openai_key = ""
    
    # API Key input section
    with st.expander("🔑 API Key Settings", expanded=False):
        st.markdown("""
            <style>
                .api-key-section {
                    background-color: #f8f9fa;
                    padding: 1rem;
                    border-radius: 0.5rem;
                    margin: 0.5rem 0;
                }
            </style>
        """, unsafe_allow_html=True)
        
        st.markdown("""
            <div class="api-key-section">
                <p style='color: #2c3e50; font-size: 0.9rem;'>
                    Enter your OpenAI API key to use the GPT-4 model. The key will be stored in the session and not saved permanently.
                </p>
            </div>
        """, unsafe_allow_html=True)
        
        openai_key = st.text_input(
            "OpenAI API Key",
            value=st.session_state.openai_key,
            type="password",
            help="Enter your OpenAI API key to use GPT-4"
        )
        
        if openai_key:
            st.session_state.openai_key = openai_key
            st.success("API key saved for this session")
    
    # Display examples table with Select buttons
    st.subheader("Example Cases")
    
    # Create columns for the table
    col1, col2, col3 = st.columns([2, 2, 1])
    
    # Table header
    with col1:
        st.write("**Git URL**")
    with col2:
        st.write("**Code/Config Changes**")
    with col3:
        st.write("**Action**")
    
    # Table rows
    for idx, example in enumerate(examples):
        with col1:
            st.write(example["Git URL"])
        with col2:
            st.write(example["Code/Config Changes"])
        with col3:
            if st.button("Select", key=f"select_{idx}"):
                st.session_state.selected_example = idx
                st.session_state.repo_url = example["Git URL"]
                st.session_state.prompt = example["Code/Config Changes"]
                st.experimental_rerun()
    
    # Get user inputs
    repo_url = st.text_input("Git Repository URL", 
                            value=st.session_state.get("repo_url", ""))
    
    # Model selection
    model = st.selectbox(
        "Select AI Model",
        ["gpt-4", "claude-sonnet (coming soon)"],
        help="Choose the AI model to analyze the code"
    )
    
    prompt = st.text_area("Code or configuration changes", 
                         value=st.session_state.get("prompt", "List down the code/configuration changes to be performed"))
    
    # Clear button
    if st.button("Clear Selection"):
        st.session_state.selected_example = None
        st.session_state.repo_url = ""
        st.session_state.prompt = "List down the code/configuration changes to be performed"
        st.experimental_rerun()
    
    if st.button("Analyze"):
        if not repo_url:
            st.error("Please enter a Git repository URL")
            return
        
        # Check API keys
        api_keys_status = check_api_keys()
        if model == "gpt-4":
            # First check session state for OpenAI key
            if st.session_state.openai_key:
                # Use the key from session state
                api_keys_status["gpt-4"] = True
            elif not api_keys_status["gpt-4"]:
                st.error("OpenAI API key not found. Please enter your key in the API Key Settings section or set the OPENAI_API_KEY environment variable.")
                return
        elif model == "claude-sonnet" and not api_keys_status["claude-sonnet"]:
            st.error("Anthropic API key not found. Please set the ANTHROPIC_API_KEY environment variable.")
            return
        
        with st.spinner("Cloning repository and analyzing code..."):
            # Create a temporary directory
            with tempfile.TemporaryDirectory() as temp_dir:
                # Clone the repository
                success, error = clone_repository(repo_url, temp_dir)
                if not success:
                    st.error(f"Error cloning repository: {error}")
                    return

                # Read code files
                code_files, warnings = read_code_files(temp_dir)
                
                # Display any warnings from reading files
                for warning in warnings:
                    st.warning(warning)
                
                if not code_files:
                    st.warning("No code files found in the repository.")
                    return
                
                # Analyze the code
                analysis, error = analyze_code(code_files, prompt, model)
                
                if error:
                    st.error(f"Error during analysis: {error}")
                    return
                
                if analysis:
                    st.subheader("Analysis Results")
                    render_analysis_results(analysis)

if __name__ == "__main__":
    main()