"""
Test script for Semantic Scholar Direct API integration
"""

import asyncio
import os
import sys
from dotenv import load_dotenv

# Load environment variables
load_dotenv()

# Add project root to path
sys.path.insert(0, os.path.dirname(__file__))

from mcp_tools.scholar_tool import SemanticScholarTool
from agents.research_agent import ResearchAgent

async def test_scholar_tool():
    """Test Semantic Scholar tool directly"""
    print("=" * 70)
    print("TEST 1: Semantic Scholar Tool Direct API")
    print("=" * 70)
    
    tool = SemanticScholarTool()
    
    # Test search
    print("\n📍 Testing search for '3I/ATLAS'...")
    papers = await tool.search_papers("3I/ATLAS", max_results=3)
    
    if papers:
        print(f"\n✅ Success! Found {len(papers)} papers:")
        for i, paper in enumerate(papers, 1):
            print(f"\n{i}. {paper['title']}")
            print(f"   Authors: {', '.join([a['name'] for a in paper.get('authors', [])[:3]])}")
            print(f"   Year: {paper.get('year', 'N/A')}")
            print(f"   Citations: {paper.get('citationCount', 0)}")
            if paper.get('abstract'):
                print(f"   Abstract: {paper['abstract'][:150]}...")
    else:
        print("\n❌ No papers found")
    
    await tool.disconnect()
    return len(papers) > 0

async def test_research_agent():
    """Test ResearchAgent with Semantic Scholar"""
    print("\n" + "=" * 70)
    print("TEST 2: Research Agent with Semantic Scholar")
    print("=" * 70)
    
    agent = ResearchAgent()
    await agent.initialize()
    
    # Test search
    print("\n📍 Testing search for 'transformer neural networks'...")
    papers = await agent.search("transformer neural networks", max_results=3, source="scholar")
    
    if papers:
        print(f"\n✅ Success! Found {len(papers)} papers:")
        for i, paper in enumerate(papers, 1):
            print(f"\n{i}. {paper['title']}")
            print(f"   Year: {paper.get('year', 'N/A')}")
            print(f"   Citations: {paper.get('citationCount', 0)}")
    else:
        print("\n❌ No papers found")
    
    await agent.cleanup()
    return len(papers) > 0

async def main():
    """Run all tests"""
    print("\n🧪 Starting Semantic Scholar API Tests\n")
    
    # Check API key
    api_key = os.getenv("SEMANTIC_SCHOLAR_API")
    if api_key:
        print(f"✓ API Key found: {api_key[:10]}...")
    else:
        print("⚠️  No API key found - using public rate-limited access")
    
    print()
    
    # Run tests
    test1_passed = await test_scholar_tool()
    test2_passed = await test_research_agent()
    
    # Summary
    print("\n" + "=" * 70)
    print("TEST SUMMARY")
    print("=" * 70)
    print(f"Test 1 (Scholar Tool): {'✅ PASSED' if test1_passed else '❌ FAILED'}")
    print(f"Test 2 (Research Agent): {'✅ PASSED' if test2_passed else '❌ FAILED'}")
    print("=" * 70)
    
    if test1_passed and test2_passed:
        print("\n🎉 All tests passed! Semantic Scholar API is working!")
    else:
        print("\n⚠️  Some tests failed - check the output above")

if __name__ == "__main__":
    asyncio.run(main())