Implement Phase 1: Core Enhancement of CV Analyser

- Enhanced skills extraction with context awareness and confidence scoring
- Advanced experience parsing with company/title extraction and date normalization
- Comprehensive certification detection with authority verification
- Performance optimization service with parallel processing and caching
- Quality assurance framework for confidence scoring and validation
- Integrated enhanced services into autofill mapping pipeline
- Fixed ExperienceInfo model field compatibility (period vs start/end dates)
- All tests passing successfully

Phase 1 Complete: Core Enhancement implemented and tested

app/services/autofill_mapper.py

@@ -343,15 +343,22 @@ class AutofillMapper:
             # Map fields
             experience_info.title = exp.get('title', '')
             experience_info.company = exp.get('company', '')
-            experience_info.start_date = exp.get('start_date', '')
-            experience_info.end_date = exp.get('end_date', '')
+            
+            # Use period field instead of separate start/end dates
+            start_date = exp.get('start_date', '')
+            end_date = exp.get('end_date', '')
+            if start_date and end_date:
+                experience_info.period = f"{start_date} - {end_date}"
+            elif start_date:
+                experience_info.period = f"{start_date} - Present"
+            elif end_date:
+                experience_info.period = end_date
+            else:
+                experience_info.period = ''
+            
             experience_info.description = exp.get('description', '')
             experience_info.location = exp.get('location', '')
             
-            # Add duration if available
-            if exp.get('duration_months'):
-                experience_info.duration_months = exp['duration_months']
-            
             if experience_info.title or experience_info.company:
                 experience_list.append(experience_info)
         

diagnose_deployment.py

@@ -0,0 +1,206 @@
+#!/usr/bin/env python3
+"""
+Comprehensive deployment diagnostic script for CV Analyser
+Tests all components and identifies potential issues
+"""
+
+import requests
+import json
+import time
+import sys
+
+def test_endpoint(url, name, expected_status=200):
+    """Test a specific endpoint"""
+    try:
+        print(f"🔍 Testing {name}...")
+        response = requests.get(url, timeout=30)
+        
+        if response.status_code == expected_status:
+            print(f"✅ {name}: OK ({response.status_code})")
+            if response.headers.get('content-type', '').startswith('application/json'):
+                try:
+                    data = response.json()
+                    print(f"   📄 Response: {json.dumps(data, indent=2)[:200]}...")
+                except:
+                    print(f"   📄 Response: {response.text[:200]}...")
+            return True
+        else:
+            print(f"❌ {name}: FAILED ({response.status_code})")
+            print(f"   📄 Error: {response.text[:500]}")
+            return False
+    except Exception as e:
+        print(f"❌ {name}: ERROR - {e}")
+        return False
+
+def test_text_analysis():
+    """Test text-based analysis"""
+    print("\n🧪 Testing Text Analysis...")
+    
+    url = "https://dzunisani007-cv-analyser.hf.space/api/v1/analyze"
+    payload = {
+        "cv_text": "John Doe\nPython Developer\nSkills: Python, Django, SQL\nExperience: 5 years in web development",
+        "job_description": "Senior Python Developer position",
+        "include_autofill": "true"
+    }
+    
+    try:
+        response = requests.post(url, json=payload, timeout=30)
+        
+        if response.status_code == 202:
+            result = response.json()
+            analysis_id = result.get('analysis_id')
+            print(f"✅ Text Analysis: Submitted successfully")
+            print(f"   🔍 Analysis ID: {analysis_id}")
+            
+            # Poll for result
+            return poll_analysis_result(analysis_id, "Text Analysis")
+        else:
+            print(f"❌ Text Analysis: Failed ({response.status_code})")
+            print(f"   📄 Error: {response.text}")
+            return False
+    except Exception as e:
+        print(f"❌ Text Analysis: Error - {e}")
+        return False
+
+def test_file_analysis():
+    """Test file-based analysis"""
+    print("\n🧪 Testing File Analysis...")
+    
+    url = "https://dzunisani007-cv-analyser.hf.space/api/v1/analyze-file"
+    
+    try:
+        # Create a simple test file content
+        test_content = b"Test CV Content\nJohn Doe\nSoftware Developer\nSkills: Python, JavaScript"
+        
+        files = {'cv_file': ('test.txt', test_content, 'text/plain')}
+        data = {
+            'include_autofill': 'true',
+            'job_description': 'Software Developer position'
+        }
+        
+        response = requests.post(url, files=files, data=data, timeout=30)
+        
+        if response.status_code == 202:
+            result = response.json()
+            analysis_id = result.get('analysis_id')
+            print(f"✅ File Analysis: Submitted successfully")
+            print(f"   🔍 Analysis ID: {analysis_id}")
+            
+            # Poll for result
+            return poll_analysis_result(analysis_id, "File Analysis")
+        else:
+            print(f"❌ File Analysis: Failed ({response.status_code})")
+            print(f"   📄 Error: {response.text}")
+            return False
+    except Exception as e:
+        print(f"❌ File Analysis: Error - {e}")
+        return False
+
+def poll_analysis_result(analysis_id, test_name, max_attempts=12):
+    """Poll for analysis result"""
+    print(f"⏳ Polling for {test_name} result...")
+    
+    url = f"https://dzunisani007-cv-analyser.hf.space/api/v1/analyze/{analysis_id}/result"
+    
+    for attempt in range(max_attempts):
+        time.sleep(5)  # Wait 5 seconds
+        
+        try:
+            response = requests.get(url, timeout=30)
+            
+            if response.status_code == 200:
+                result = response.json()
+                status = result.get('status')
+                
+                print(f"   🔄 Attempt {attempt + 1}/{max_attempts}: {status}")
+                
+                if status == 'completed':
+                    print(f"✅ {test_name}: Completed successfully")
+                    
+                    # Check for autofill data
+                    autofill_data = result.get('autofill_data')
+                    if autofill_data:
+                        print(f"   📋 Autofill data available")
+                        personal = autofill_data.get('personal', {})
+                        if personal.get('full_name'):
+                            print(f"   👤 Name extracted: {personal['full_name']}")
+                        skills = autofill_data.get('skills', [])
+                        if skills:
+                            print(f"   🛠️ Skills found: {len(skills)} skills")
+                    else:
+                        print(f"   ⚠️ No autofill data found")
+                    
+                    return True
+                elif status == 'failed':
+                    print(f"❌ {test_name}: Failed")
+                    print(f"   📄 Error: {result}")
+                    return False
+                    
+            else:
+                print(f"   ❌ Error getting result: {response.status_code}")
+                
+        except Exception as e:
+            print(f"   ❌ Polling error: {e}")
+    
+    print(f"⏰ {test_name}: Timed out")
+    return False
+
+def main():
+    """Run comprehensive deployment diagnostic"""
+    print("🚀 CV Analyser Deployment Diagnostic")
+    print("=" * 50)
+    
+    base_url = "https://dzunisani007-cv-analyser.hf.space"
+    
+    # Test basic endpoints
+    tests = [
+        (f"{base_url}/", "Root Endpoint"),
+        (f"{base_url}/health", "Health Check"),
+        (f"{base_url}/api/v1/analyze", "Analyze Endpoint (GET)"),
+    ]
+    
+    results = []
+    for url, name in tests:
+        results.append(test_endpoint(url, name))
+        time.sleep(1)
+    
+    # Test analysis functionality
+    text_result = test_text_analysis()
+    file_result = test_file_analysis()
+    
+    results.extend([text_result, file_result])
+    
+    # Summary
+    print("\n" + "=" * 50)
+    print("📊 DIAGNOSTIC SUMMARY")
+    print("=" * 50)
+    
+    passed = sum(results)
+    total = len(results)
+    
+    print(f"✅ Passed: {passed}/{total}")
+    print(f"❌ Failed: {total - passed}/{total}")
+    
+    if passed == total:
+        print("\n🎉 All tests passed! Deployment is healthy.")
+    elif passed >= total * 0.8:
+        print("\n⚠️ Most tests passed. Deployment is mostly functional.")
+    else:
+        print("\n❌ Multiple tests failed. Deployment needs attention.")
+    
+    # Recommendations
+    print("\n💡 RECOMMENDATIONS:")
+    if not results[0]:  # Root endpoint
+        print("   - Check if the application is running")
+    if not results[1]:  # Health check
+        print("   - Check database connectivity")
+        print("   - Verify model loading")
+    if not text_result:
+        print("   - Check text analysis pipeline")
+        print("   - Verify background workers are running")
+    if not file_result:
+        print("   - Check OCR functionality")
+        print("   - Verify file upload processing")
+
+if __name__ == "__main__":
+    main()

test_enhanced_analyser.py

@@ -334,7 +334,9 @@ def test_integrated_autofill_mapping():
     print(f"\nExperience ({len(autofill_result.experience)}):")
     for i, exp in enumerate(autofill_result.experience):
         print(f"  {i+1}. {exp.title} at {exp.company}")
-        print(f"      {exp.start_date} - {exp.end_date}")
+        print(f"      {exp.period}")
+        if exp.location:
+            print(f"      Location: {exp.location}")
     
     print(f"\nEducation ({len(autofill_result.education)}):")
     for i, edu in enumerate(autofill_result.education):