import gradio as gr import os import time 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): base_url = "https://github.com/" if github_token: os.environ["GITHUB_TOKEN"] = github_token base_url = f"https://{github_token}@github.com/" github_token = os.environ.get("GITHUB_TOKEN") if not github_token: return "❌ Error: GITHUB_TOKEN environment variable not set.", gr.update(visible=True), gr.update(visible=False) openrouter_api_key = os.environ.get("OPENROUTER_API_KEY") if not openrouter_api_key: return "❌ Error: OPENROUTER_API_KEY environment variable not set.", gr.update(visible=True), gr.update(visible=False) progress_md = "" yield progress_md, gr.update(visible=True), gr.update(visible=False) # Initial empty output for emoji, message in PROGRESS_STEPS: progress_md += f"{emoji} {message} \n" yield progress_md, gr.update(visible=True), gr.update(visible=False) time.sleep(4) try: owner, repo_name = get_repo_info(repo_input) repo_url = f"{base_url}/{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_info = clone_repo(owner, repo_name, temp_dir, repo_url) repo_path = repo_info["local_path"] progress_md += "🔬 Analyzing code structure... \n" yield progress_md, gr.update(visible=True), gr.update(visible=False) code_analysis = analyze_code(repo_path) code_analysis['llm_analysis'] = llm_analyze_code(client, code_analysis) progress_md += f"📊 Analyzing issues (max {max_issues})... \n" yield progress_md, gr.update(visible=True), gr.update(visible=False) issues_data = analyze_issues(github_repo, max_issues) issues_analysis = llm_analyze_issues(client, issues_data, repo_url) progress_md += f"🔀 Analyzing pull requests (max {max_prs})... \n" yield progress_md, gr.update(visible=True), gr.update(visible=False) prs_data = analyze_pull_requests(github_repo, max_prs) pr_analysis = llm_analyze_prs(client, prs_data, repo_url) # progress_md += "🧠 Synthesizing findings... \n" # yield progress_md, gr.update(visible=True), gr.update(visible=False) # final_analysis = llm_synthesize_findings( # client, # code_analysis.get('llm_analysis', ''), # issues_analysis.get('summary', ''), # pr_analysis.get('summary', '') # ) progress_md += "📝 Generating report... \n" yield progress_md, gr.update(visible=True), gr.update(visible=False) report = generate_report(repo_info, code_analysis, issues_analysis, pr_analysis) # Return the final Markdown report yield progress_md + "✅ Analysis complete!", gr.update(visible=False), gr.update(visible=True, value=report) except Exception as e: error_message = f"❌ An error occurred: {str(e)}" traceback.print_exc() yield progress_md + error_message, gr.update(visible=True), gr.update(visible=False) html = """ """ # Define the Gradio interface with gr.Blocks() as app: gr.Markdown("# Patched GitHub Repo Analyzer") gr.Markdown("## Build and run your identified workflows with [patched](https://patched.codes)") gr.HTML(html) 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") progress_output = gr.Markdown(label="Progress") report_output = gr.Markdown(label="Analysis Report", visible=False) analyze_button.click( analyze_github_repo, inputs=[repo_input, github_token], outputs=[progress_output, progress_output, report_output], ) # Launch the app if __name__ == "__main__": app.launch()