[31388f42] Fix field naming: Use industry_ai and research_dossier from CE API

lead-engine/app.py

@@ -4,7 +4,7 @@ from db import get_leads, init_db
 import json
 import re
 import os
-from enrich import run_sync, refresh_ce_data
+from enrich import run_sync, refresh_ce_data, sync_single_lead
 from generate_reply import generate_email_draft
 
 def clean_html_to_text(html_content):
@@ -164,6 +164,17 @@ if not df.empty:
                 c1.write(f"**Purpose:** {meta.get('purpose', '-')}")
                 c1.write(f"**Location:** {meta.get('zip', '')} {meta.get('city', '')}")
             
+            # Manual Sync Button for individual lead
+            if row['status'] == 'new':
+                if c1.button("🚀 Sync to Company Explorer", key=f"sync_single_{row['id']}"):
+                    with st.spinner("Processing lead (Role + CE Sync)..."):
+                        res = sync_single_lead(row['id'])
+                        if res.get('status') != 'error':
+                            st.success("Lead synced successfully!")
+                            st.rerun()
+                        else:
+                            st.error(f"Sync failed: {res.get('message')}")
+
             with c1.expander("Show Original Email Content"):
                 st.text(clean_html_to_text(row['raw_body']))
                 if st.checkbox("Show Raw HTML", key=f"raw_{row['id']}"):
@@ -181,10 +192,11 @@ if not df.empty:
                     
                     # CE Data Display
                     ce_data = enrichment.get('ce_data', {})
-                    vertical = ce_data.get('vertical')
-                    summary = ce_data.get('summary')
+                    # Support both names (CE uses industry_ai internally)
+                    vertical = ce_data.get('industry_ai') or ce_data.get('vertical')
+                    summary = ce_data.get('research_dossier') or ce_data.get('summary')
                     
-                    if vertical:
+                    if vertical and vertical != 'None':
                         c2.info(f"**Industry:** {vertical}")
                     else:
                         c2.warning("Industry Analysis pending...")

lead-engine/generate_reply.py

@@ -47,8 +47,8 @@ def generate_email_draft(lead_data, company_data, booking_link="https://outlook.
     role = meta.get('role', 'Unbekannt')
 
     # Data from Company Explorer
-    ce_summary = company_data.get('summary', 'Keine Details verfügbar.')
-    ce_vertical = company_data.get('vertical', 'Allgemein')
+    ce_summary = company_data.get('research_dossier') or company_data.get('summary', 'Keine Details verfügbar.')
+    ce_vertical = company_data.get('industry_ai') or company_data.get('vertical', 'Allgemein')
     ce_website = company_data.get('website', '')
 
     # Prompt Engineering

lead-engine/monitor.py

@@ -0,0 +1,56 @@
+import time
+import json
+import logging
+import os
+import sys
+
+# Path setup to import local modules
+sys.path.append(os.path.dirname(__file__))
+from db import get_leads
+from enrich import refresh_ce_data
+
+# Setup logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+logger = logging.getLogger("lead-monitor")
+
+def run_monitor():
+    logger.info("Starting Lead Monitor (Polling CE for updates)...")
+    
+    while True:
+        try:
+            leads = get_leads()
+            # Filter leads that are synced but missing analysis data
+            pending_leads = []
+            for lead in leads:
+                if lead['status'] == 'synced':
+                    enrichment = json.loads(lead['enrichment_data']) if lead['enrichment_data'] else {}
+                    ce_data = enrichment.get('ce_data', {})
+                    ce_id = enrichment.get('ce_id')
+                    
+                    # If we have a CE ID but no vertical/summary yet, it's pending
+                    vertical = ce_data.get('industry_ai') or ce_data.get('vertical')
+                    if ce_id and (not vertical or vertical == 'None'):
+                        pending_leads.append(lead)
+
+            if pending_leads:
+                logger.info(f"Checking {len(pending_leads)} pending leads for analysis updates...")
+                for lead in pending_leads:
+                    enrichment = json.loads(lead['enrichment_data'])
+                    ce_id = enrichment['ce_id']
+                    
+                    logger.info(f" -> Refreshing Lead {lead['id']} ({lead['company_name']})...")
+                    new_data = refresh_ce_data(lead['id'], ce_id)
+                    
+                    new_vertical = new_data.get('industry_ai') or new_data.get('vertical')
+                    if new_vertical and new_vertical != 'None':
+                        logger.info(f"    [SUCCESS] Analysis finished for {lead['company_name']}: {new_vertical}")
+                        # Optional: Here we could trigger the Auto-Reply generation in the future
+            
+        except Exception as e:
+            logger.error(f"Monitor error: {e}")
+            
+        # Wait before next check
+        time.sleep(30) # Poll every 30 seconds
+
+if __name__ == "__main__":
+    run_monitor()