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""" |
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Test Final Web Fix - End to End |
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Test the complete web analysis workflow: |
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1. URL detection and cleaning |
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2. Logical continuation (fetch content directly) |
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3. Intelligent web content summaries |
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""" |
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import sys |
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from pathlib import Path |
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project_root = Path(__file__).parent |
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sys.path.insert(0, str(project_root)) |
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def test_complete_web_workflow(): |
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"""Test the complete web analysis workflow""" |
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print("🌐 TESTING COMPLETE WEB WORKFLOW") |
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print("=" * 40) |
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try: |
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from atles_desktop_pyqt import ATLESCommunicationThread |
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comm_thread = ATLESCommunicationThread() |
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print("1️⃣ Testing URL detection and function call generation...") |
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user_message = "https://huggingface.co/papers/2508.10874 can you read this and sum it up" |
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import re |
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url_pattern = r'https?://[^\s<>"{}|\\^`\[\]]+' |
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urls = re.findall(url_pattern, user_message) |
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print(f" Detected URLs: {urls}") |
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if urls: |
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print(" ✅ URL detection works") |
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else: |
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print(" ❌ URL detection failed") |
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return False |
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print("\n2️⃣ Testing URL cleaning...") |
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problematic_url = "https://huggingface.co/papers/2508.10874'" |
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clean_url = problematic_url.strip("'\"") |
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print(f" Original: {problematic_url}") |
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print(f" Cleaned: {clean_url}") |
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if not clean_url.endswith("'") and not clean_url.endswith('"'): |
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print(" ✅ URL cleaning works") |
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else: |
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print(" ❌ URL cleaning failed") |
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return False |
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print("\n3️⃣ Testing logical continuation response...") |
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response = comm_thread._create_url_aware_response( |
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user_message, |
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"Let me analyze this content", |
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urls, |
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False |
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) |
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print(" Generated response preview:") |
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print(" " + "-" * 50) |
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print(" " + response[:200] + "...") |
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print(" " + "-" * 50) |
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if "FUNCTION_CALL:fetch_url_content" in response: |
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print(" ✅ Uses fetch_url_content (logical continuation)") |
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elif "FUNCTION_CALL:check_url_accessibility" in response: |
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print(" ⚠️ Still using check_url_accessibility (partial fix)") |
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else: |
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print(" ❌ No function call detected") |
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return False |
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print("\n4️⃣ Testing intelligent web content processing...") |
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function_result = '''Function fetch_url_content executed successfully: { |
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"success": true, |
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"url": "https://huggingface.co/papers/2508.10874", |
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"content": "<html><head><title>Advanced Multimodal Reasoning with Vision-Language Models</title></head><body><h1>Advanced Multimodal Reasoning</h1><p>Abstract: This paper presents novel approaches to multimodal AI systems that can process and reason about both visual and textual information. We introduce new benchmark datasets and evaluation metrics for vision-language models.</p><p>Our research focuses on improving cross-modal understanding and generation capabilities through innovative training techniques and architectural improvements.</p><div>Authors: Research Team</div><div>Published: 2024</div></body></html>", |
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"content_type": "text/html", |
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"content_length": 650, |
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"message": "Successfully fetched content from https://huggingface.co/papers/2508.10874" |
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}''' |
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intelligent_response = comm_thread._process_function_result( |
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function_result, |
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user_message, |
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response |
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) |
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print(" Intelligent response preview:") |
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print(" " + "-" * 50) |
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print(" " + intelligent_response[:300] + "...") |
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print(" " + "-" * 50) |
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checks = [ |
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("Web Content Analysis Complete" in intelligent_response, "Analysis header"), |
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("Hugging Face Paper Analysis" in intelligent_response, "HF-specific analysis"), |
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("Advanced Multimodal Reasoning" in intelligent_response, "Title extraction"), |
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("Abstract" in intelligent_response or "multimodal" in intelligent_response, "Content analysis"), |
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("Ask me anything" in intelligent_response, "Follow-up invitation"), |
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('"success": true' not in intelligent_response, "Raw JSON hidden") |
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] |
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passed_checks = 0 |
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for check, description in checks: |
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if check: |
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print(f" ✅ {description}") |
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passed_checks += 1 |
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else: |
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print(f" ❌ Missing {description}") |
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if passed_checks >= 4: |
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print(" ✅ Intelligent processing works") |
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else: |
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print(" ❌ Intelligent processing needs work") |
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return False |
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return True |
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except Exception as e: |
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print(f"❌ Test failed: {e}") |
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import traceback |
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traceback.print_exc() |
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return False |
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def main(): |
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"""Main test runner""" |
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print("🎯 FINAL WEB FIX TEST") |
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print("=" * 50) |
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print(""" |
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TESTING COMPLETE WEB ANALYSIS WORKFLOW: |
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This tests the end-to-end process from URL detection |
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to intelligent content analysis. |
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""") |
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success = test_complete_web_workflow() |
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print(f"\n📊 FINAL TEST RESULT") |
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print("=" * 50) |
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if success: |
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print(f"🎉 COMPLETE WEB ANALYSIS FIX SUCCESSFUL!") |
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print("✅ URL detection and cleaning works") |
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print("✅ Function calls generated properly") |
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print("✅ Intelligent content analysis works") |
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print("✅ Hugging Face paper-specific summaries") |
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print("✅ Raw JSON hidden from users") |
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print(f"\n💡 ATLES NOW PROVIDES:") |
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print("🔗 Automatic URL detection") |
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print("🧹 Clean JSON function calls (no syntax errors)") |
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print("🔄 Logical continuation (fetches content directly)") |
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print("🧠 Intelligent summaries (not raw HTML)") |
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print("📄 Paper-specific analysis for research content") |
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print("💬 User-friendly responses with follow-up invitations") |
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print(f"\n🚀 READY FOR TESTING!") |
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print("Try asking ATLES: 'https://huggingface.co/papers/2508.10874 can you read this and sum it up'") |
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print("You should get an intelligent summary, not raw JSON or HTML!") |
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else: |
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print(f"⚠️ Web analysis still needs work") |
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print("Check the test output above for specific issues") |
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return success |
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if __name__ == "__main__": |
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|
try: |
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success = main() |
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|
if success: |
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print(f"\n✨ All web analysis fixes are working!") |
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|
else: |
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|
print(f"\n⚠️ Some issues remain.") |
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except KeyboardInterrupt: |
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|
print(f"\n⏹️ Test interrupted") |
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|
except Exception as e: |
|
|
print(f"\n💥 Test error: {e}") |
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|
import traceback |
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|
traceback.print_exc() |
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