Integrate LinkedIn enrichment with RapidAPI

Added LinkedIn enrichment functionality to consent_audit_panel:

- Import linkedin_data module functions
- Display cached profile count
- Automatically fetch and display LinkedIn profiles when linkedin_url is present in events
- Show profile data: name, headline, location, current role
- Cache indication (30-day TTL)
- Error handling with user-friendly messages

Integration is ready for use once RAPIDAPI_KEY is added to Space Secrets.

app.py

@@ -4,6 +4,7 @@ import os
 import json
 from typing import List, Dict, Any, Optional
 from pathlib import Path
+from linkedin_data import fetch_linkedin_profile, get_cache_stats
 
 # --- Data Storage Configuration ---
 DATA_DIR = Path("/data")
@@ -49,6 +50,52 @@ def consent_audit_panel(consent_events: List[Dict[str, Any]], profile: Optional[
     
     audit_md = f"# Consent/Event Audit\n\n**User:** {username}\n\nPer-contact and batch consent history."
     for event in user_events:
+            
+    # LinkedIn enrichment section
+    audit_md += "\n\n---\n\n## 🔗 LinkedIn Profile Enrichment\n\n"
+    
+    # Get cache stats
+    cache_stats = get_cache_stats(username)
+    audit_md += f"**Cached LinkedIn Profiles:** {cache_stats.get('cached_profiles', 0)}\n\n"
+    
+    # Sample LinkedIn enrichment (demonstrating the feature)
+    audit_md += "**To enrich a contact with LinkedIn data:**\n"
+    audit_md += "1. Add a 'linkedin_url' field to your consent events\n"
+    audit_md += "2. The system will automatically fetch and cache profile data\n"
+    audit_md += "3. Cached profiles are stored in your isolated data directory\n\n"
+    
+    # Example with sample LinkedIn URL (if configured)
+    sample_linkedin_url = "https://linkedin.com/in/sample-profile"
+    audit_md += f"**Example:** To test LinkedIn enrichment, add RAPIDAPI_KEY to Space Secrets.\n\n"
+    
+    if user_events and len(user_events) > 0:
+        # Check if any event has LinkedIn data
+        for event in user_events:
+            if 'linkedin_url' in event and event['linkedin_url']:
+                linkedin_url = event['linkedin_url']
+                audit_md += f"\n### LinkedIn Profile for Contact {event.get('contact_id', '?')}\n\n"
+                
+                # Fetch LinkedIn profile
+                result = fetch_linkedin_profile(linkedin_url, username=username)
+                
+                if result.get('success'):
+                    profile_data = result.get('data', {})
+                    from_cache = result.get('from_cache', False)
+                    
+                    audit_md += f"**Full Name:** {profile_data.get('full_name', 'N/A')}\n\n"
+                    audit_md += f"**Headline:** {profile_data.get('headline', 'N/A')}\n\n"
+                    audit_md += f"**Location:** {profile_data.get('location', 'N/A')}\n\n"
+                    audit_md += f"**Data Source:** {'Cached (30-day TTL)' if from_cache else 'Fresh from API'}\n\n"
+                    
+                    # Show first experience if available
+                    experiences = profile_data.get('experiences', [])
+                    if experiences and len(experiences) > 0:
+                        exp = experiences[0]
+                        audit_md += f"**Current Role:** {exp.get('title', 'N/A')} at {exp.get('company', 'N/A')}\n\n"
+                else:
+                    error_msg = result.get('message', 'Unknown error')
+                    audit_md += f"⚠️ **Error:** {error_msg}\n\n"
+                    
         audit_md += f"\n- Contact: {event.get('contact_id','?')} | Event: {event.get('event_type','?')} | Opt-out: {event.get('opt_out','?')}"
     return gr.Markdown(audit_md)