GitHub Repository Creator

#!/usr/bin/env python3 """ Test the MCP GitHub Repository Creator This script demonstrates the interactive workflow: 1. Get instructions for analyzing the repository 2. Simulate Copilot creating metadata JSON 3. Create the GitHub repository from metadata Copyright (C) 2025 flickleafy This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <https://www.gnu.org/licenses/>. """ from server import RepositoryAnalyzer, call_tool, TextContent import asyncio import json import sys from pathlib import Path # Add the server path sys.path.append(str(Path(__file__).parent)) async def test_workflow(): """Test the complete MCP workflow.""" print("🚀 Testing MCP GitHub Repository Creator Workflow") print("=" * 60) # Step 1: Get instructions for repository analysis print("\n📋 Step 1: Getting analysis instructions...") instructions_result = await call_tool( "get_repo_analysis_instructions", {"repo_path": "/mnt/[WDG]auxiliary/Desktop/VScode_projects-AI/github-repo-tools"} ) print("✅ Instructions generated:") print(instructions_result[0].text[:500] + "...\n") # Step 2: Simulate Copilot analyzing the repository and creating metadata print("📊 Step 2: Analyzing repository (simulating Copilot's work)...") analyzer = RepositoryAnalyzer( "/mnt/[WDG]auxiliary/Desktop/VScode_projects-AI/github-repo-tools") if analyzer.is_git_repository(): print("✅ Git repository detected") # Generate metadata automatically (this simulates what Copilot would do) metadata = analyzer.generate_metadata() print(f"✅ Generated metadata:") print(f" Repository: {metadata['repository_name']}") print(f" Language: {metadata['primary_language']}") print(f" Type: {metadata['project_type']}") print(f" Topics: {len(metadata['topics'])} topics") print(f" Description: {metadata['description'][:100]}...") # Convert metadata to JSON string (this is what Copilot would provide) metadata_json = json.dumps(metadata, indent=2) print(f"\n📄 Metadata JSON (first 300 chars):") print(metadata_json[:300] + "...\n") # Step 3: Create GitHub repository from metadata print("🚀 Step 3: Creating GitHub repository from metadata...") creation_result = await call_tool( "create_github_repo_from_metadata", { "metadata_json": metadata_json, "repo_path": "/mnt/[WDG]auxiliary/Desktop/VScode_projects-AI/github-repo-tools", "save_metadata_file": True } ) print("📤 Repository creation result:") print(creation_result[0].text) else: print("❌ Not a git repository") print("\n🎉 MCP Workflow Test Complete!") async def test_instructions_only(): """Test just the instructions generation.""" print("🔍 Testing Instructions Generation Only") print("=" * 50) # Test with current directory instructions_result = await call_tool( "get_repo_analysis_instructions", {"repo_path": "."} ) print("📋 Generated Instructions:") print(instructions_result[0].text) if __name__ == "__main__": print("Choose test mode:") print("1. Full workflow test (analyze + create repo)") print("2. Instructions only test") choice = input("Enter choice (1 or 2): ").strip() if choice == "1": asyncio.run(test_workflow()) else: asyncio.run(test_instructions_only())