app.py

import gradio as gr
import os
import time
import tempfile
import traceback
from github import Github
from openai import OpenAI

# Mock functions for testing - replace these with your actual functions
def get_repo_info(repo_input):
    return repo_input.split('/')[-2:]

def clone_repo(owner, repo_name, temp_dir):
    return os.path.join(temp_dir, f"{owner}_{repo_name}")

def analyze_code(repo_path):
    return {"files": 10, "lines": 1000}

def analyze_issues(github_repo, max_issues):
    return [{"title": "Test Issue", "number": 1}]

def analyze_pull_requests(github_repo, max_prs):
    return [{"title": "Test PR", "number": 1}]

def llm_analyze_code(client, code_analysis):
    return "Code analysis summary"

def llm_analyze_issues(client, issues_data, repo_url):
    return {"summary": "Issues analysis summary"}

def llm_analyze_prs(client, prs_data, repo_url):
    return {"summary": "PRs analysis summary"}

def llm_synthesize_findings(client, code_analysis, issues_analysis, pr_analysis):
    return "Synthesized findings"

def generate_report(repo_info, code_analysis, issues_analysis, pr_analysis, final_analysis):
    return f"""
# Repository Analysis Report for {repo_info['owner']}/{repo_info['repo_name']}

## Code Analysis
{code_analysis['llm_analysis']}

## Issues Analysis
{issues_analysis['summary']}

## Pull Requests Analysis
{pr_analysis['summary']}

## Final Analysis
{final_analysis}
"""

def analyze_github_repo(repo_input, github_token=None):
    def update_output(message):
        print(message)  # Console log
        return message  # Update Gradio interface

    try:
        if github_token:
            os.environ["GITHUB_TOKEN"] = github_token
        
        github_token = os.environ.get("GITHUB_TOKEN")
        if not github_token:
            return update_output("❌ Error: GITHUB_TOKEN environment variable not set.")

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

        yield update_output("🚀 Starting analysis...")
        
        owner, repo_name = get_repo_info(repo_input)
        repo_url = f"https://github.com/{owner}/{repo_name}"
        yield update_output(f"📊 Analyzing repository: {repo_url}")
        
        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)
            yield update_output(f"📁 Cloned repository to temporary directory")

            yield update_output("🔬 Analyzing code structure...")
            code_analysis = analyze_code(repo_path)
            code_analysis['llm_analysis'] = llm_analyze_code(client, code_analysis)
            yield update_output("✅ Code analysis complete")

            yield update_output(f"📊 Analyzing issues (max {max_issues})...")
            issues_data = analyze_issues(github_repo, max_issues)
            issues_analysis = llm_analyze_issues(client, issues_data, repo_url)
            yield update_output("✅ Issues analysis complete")

            yield update_output(f"🔀 Analyzing pull requests (max {max_prs})...")
            prs_data = analyze_pull_requests(github_repo, max_prs)
            pr_analysis = llm_analyze_prs(client, prs_data, repo_url)
            yield update_output("✅ Pull requests analysis complete")

            yield update_output("🧠 Synthesizing findings...")
            final_analysis = llm_synthesize_findings(
                client, 
                code_analysis.get('llm_analysis', ''),
                issues_analysis.get('summary', ''),
                pr_analysis.get('summary', '')
            )
            yield update_output("✅ Findings synthesized")

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

            yield update_output("📝 Generating report...")
            report = generate_report(repo_info, code_analysis, issues_analysis, pr_analysis, final_analysis)
            yield update_output("✅ Report generated")

        yield update_output("🎉 Analysis complete! Here's the report:\n\n" + report)
    except Exception as e:
        error_message = f"❌ An error occurred: {str(e)}"
        traceback.print_exc()
        yield update_output(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.Markdown(label="Analysis Output")
    
    analyze_button.click(
        analyze_github_repo,
        inputs=[repo_input, github_token],
        outputs=output,
    )

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