Add SEO fields to Tasks model, improve content generation response handling, and enhance progress bar animation

- Added primary_keyword, secondary_keywords, tags, and categories fields to Tasks model
- Updated generate_content function to handle full JSON response with all SEO fields
- Improved progress bar animation: smooth 1% increments every 300ms
- Enhanced step detection for content generation vs clustering vs ideas
- Fixed progress modal to show correct messages for each function type
- Added comprehensive logging to Keywords and Tasks pages for AI functions
- Fixed error handling to show meaningful error messages instead of generic failures

backend/igny8_core/ai/tests/test_run.py

@@ -0,0 +1,134 @@
+"""
+Test script for AI functions
+Run this to verify all AI functions work with console logging
+"""
+import os
+import sys
+import django
+
+# Setup Django
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), '../../../../'))
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'igny8.settings')
+django.setup()
+
+from igny8_core.ai.functions.auto_cluster import AutoClusterFunction
+from igny8_core.ai.functions.generate_ideas import generate_ideas_core
+from igny8_core.ai.functions.generate_content import generate_content_core
+from igny8_core.ai.functions.generate_images import generate_images_core
+from igny8_core.ai.ai_core import AICore
+
+
+def test_ai_core():
+    """Test AICore.run_ai_request() directly"""
+    print("\n" + "="*80)
+    print("TEST 1: AICore.run_ai_request() - Direct API Call")
+    print("="*80)
+    
+    ai_core = AICore()
+    result = ai_core.run_ai_request(
+        prompt="Say 'Hello, World!' in JSON format: {\"message\": \"your message\"}",
+        max_tokens=100,
+        function_name='test_ai_core'
+    )
+    
+    if result.get('error'):
+        print(f"❌ Error: {result['error']}")
+    else:
+        print(f"✅ Success! Content: {result.get('content', '')[:100]}")
+        print(f"   Tokens: {result.get('total_tokens')}, Cost: ${result.get('cost', 0):.6f}")
+
+
+def test_auto_cluster():
+    """Test auto cluster function"""
+    print("\n" + "="*80)
+    print("TEST 2: Auto Cluster Function")
+    print("="*80)
+    print("Note: This requires actual keyword IDs in the database")
+    print("Skipping - requires database setup")
+    # Uncomment to test with real data:
+    # fn = AutoClusterFunction()
+    # result = fn.validate({'ids': [1, 2, 3]})
+    # print(f"Validation result: {result}")
+
+
+def test_generate_ideas():
+    """Test generate ideas function"""
+    print("\n" + "="*80)
+    print("TEST 3: Generate Ideas Function")
+    print("="*80)
+    print("Note: This requires actual cluster ID in the database")
+    print("Skipping - requires database setup")
+    # Uncomment to test with real data:
+    # result = generate_ideas_core(cluster_id=1, account_id=1)
+    # print(f"Result: {result}")
+
+
+def test_generate_content():
+    """Test generate content function"""
+    print("\n" + "="*80)
+    print("TEST 4: Generate Content Function")
+    print("="*80)
+    print("Note: This requires actual task IDs in the database")
+    print("Skipping - requires database setup")
+    # Uncomment to test with real data:
+    # result = generate_content_core(task_ids=[1], account_id=1)
+    # print(f"Result: {result}")
+
+
+def test_generate_images():
+    """Test generate images function"""
+    print("\n" + "="*80)
+    print("TEST 5: Generate Images Function")
+    print("="*80)
+    print("Note: This requires actual task IDs in the database")
+    print("Skipping - requires database setup")
+    # Uncomment to test with real data:
+    # result = generate_images_core(task_ids=[1], account_id=1)
+    # print(f"Result: {result}")
+
+
+def test_json_extraction():
+    """Test JSON extraction"""
+    print("\n" + "="*80)
+    print("TEST 6: JSON Extraction")
+    print("="*80)
+    
+    ai_core = AICore()
+    
+    # Test 1: Direct JSON
+    json_text = '{"clusters": [{"name": "Test", "keywords": ["test"]}]}'
+    result = ai_core.extract_json(json_text)
+    print(f"✅ Direct JSON: {result is not None}")
+    
+    # Test 2: JSON in markdown
+    json_markdown = '```json\n{"clusters": [{"name": "Test"}]}\n```'
+    result = ai_core.extract_json(json_markdown)
+    print(f"✅ JSON in markdown: {result is not None}")
+    
+    # Test 3: Invalid JSON
+    invalid_json = "This is not JSON"
+    result = ai_core.extract_json(invalid_json)
+    print(f"✅ Invalid JSON handled: {result is None}")
+
+
+if __name__ == '__main__':
+    print("\n" + "="*80)
+    print("AI FUNCTIONS TEST SUITE")
+    print("="*80)
+    print("Testing all AI functions with console logging enabled")
+    print("="*80)
+    
+    # Run tests
+    test_ai_core()
+    test_json_extraction()
+    test_auto_cluster()
+    test_generate_ideas()
+    test_generate_content()
+    test_generate_images()
+    
+    print("\n" + "="*80)
+    print("TEST SUITE COMPLETE")
+    print("="*80)
+    print("\nAll console logging should be visible above.")
+    print("Check for [AI][function_name] Step X: messages")
+