app.py

import gradio as gr
import os
import time
import markdown
import tempfile
import traceback
from github_repo_analyzer import get_repo_info, clone_repo, analyze_code, analyze_issues, analyze_pull_requests, llm_analyze_code, llm_analyze_issues, llm_analyze_prs, llm_synthesize_findings, generate_report
from github import Github
from openai import OpenAI

# Emojis and fun statements for progress updates
PROGRESS_STEPS = [
    ("🕵️‍♂️", "Investigating the GitHub realm..."),
    ("🧬", "Decoding repository DNA..."),
    ("🐛", "Hunting for bugs and features..."),
    ("🔍", "Examining pull request tea leaves..."),
    ("🧠", "Activating AI brain cells..."),
    ("📝", "Crafting the legendary report..."),
]

def analyze_github_repo(repo_input, github_token=None):
    if github_token:
        os.environ["GITHUB_TOKEN"] = github_token
    
    github_token = os.environ.get("GITHUB_TOKEN")
    if not github_token:
        return "❌ Error: GITHUB_TOKEN environment variable not set."

    openrouter_api_key = os.environ.get("OPENROUTER_API_KEY")
    if not openrouter_api_key:
        return "❌ Error: OPENROUTER_API_KEY environment variable not set."

    progress_html = ""
    yield progress_html  # Initial empty output

    for emoji, message in PROGRESS_STEPS:
        progress_html += f"{emoji} {message}<br>"
        yield progress_html
        time.sleep(1)  # Reduced sleep time for faster feedback

    try:
        owner, repo_name = get_repo_info(repo_input)
        repo_url = f"https://github.com/{owner}/{repo_name}"
        
        g = Github(github_token)
        github_repo = g.get_repo(f"{owner}/{repo_name}")
        
        client = OpenAI(api_key=openrouter_api_key, base_url="https://openrouter.ai/api/v1")

        max_issues = 4
        max_prs = 4

        with tempfile.TemporaryDirectory() as temp_dir:
            repo_path = clone_repo(owner, repo_name, temp_dir)

            progress_html += "🔬 Analyzing code structure...<br>"
            yield progress_html
            code_analysis = analyze_code(repo_path)
            code_analysis['llm_analysis'] = llm_analyze_code(client, code_analysis)

            progress_html += f"📊 Analyzing issues (max {max_issues})...<br>"
            yield progress_html
            issues_data = analyze_issues(github_repo, max_issues)
            issues_analysis = llm_analyze_issues(client, issues_data, repo_url)

            progress_html += f"🔀 Analyzing pull requests (max {max_prs})...<br>"
            yield progress_html
            prs_data = analyze_pull_requests(github_repo, max_prs)
            pr_analysis = llm_analyze_prs(client, prs_data, repo_url)

            progress_html += "🧠 Synthesizing findings...<br>"
            yield progress_html
            final_analysis = llm_synthesize_findings(
                client, 
                code_analysis.get('llm_analysis', ''),
                issues_analysis.get('summary', ''),
                pr_analysis.get('summary', '')
            )

            repo_info = {
                "owner": owner,
                "repo_name": repo_name,
            }

            progress_html += "📝 Generating report...<br>"
            yield progress_html
            report = generate_report(repo_info, code_analysis, issues_analysis, pr_analysis, final_analysis)

        # Convert markdown to HTML
        html_report = markdown.markdown(report)
        
        # Return the final HTML report
        return f"{progress_html}<br><h2>Analysis Report</h2>{html_report}"
    except Exception as e:
        error_message = f"❌ An error occurred: {str(e)}"
        traceback.print_exc()
        return f"{progress_html}<br>{error_message}"

# Define the Gradio interface
with gr.Blocks() as app:
    gr.Markdown("# GitHub Repository Analyzer")
    
    repo_input = gr.Textbox(label="Enter GitHub Repository Slug or URL")
    
    with gr.Accordion("Advanced Settings", open=False):
        github_token = gr.Textbox(label="GitHub Token (optional)", type="password")
    
    analyze_button = gr.Button("Analyze Repository")
    
    output = gr.HTML(label="Analysis Output")
    
    analyze_button.click(
        analyze_github_repo,
        inputs=[repo_input, github_token],
        outputs=[output],
    )

# Launch the app
if __name__ == "__main__":
    app.launch()