feat: Implement mobile application and lead processing utilities.

scripts/finalize_leads.py

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+import csv
+import json
+import os
+
+def normalize_name(name):
+    return name.strip()
+
+def finalize_leads():
+    existing_leads = []
+    seen_names = set()
+    
+    if os.path.exists('leads.csv'):
+        with open('leads.csv', 'r', encoding='utf-8') as f:
+            reader = csv.DictReader(f)
+            for row in reader:
+                existing_leads.append(row)
+                seen_names.add(normalize_name(row['Firm/Innung']))
+    
+    print(f"Loaded {len(existing_leads)} existing leads.")
+    
+    new_leads = []
+    
+    # Load person mapping
+    innung_to_person = {}
+    with open('cologne_duesseldorf_data/batch6_targets.json', 'r', encoding='utf-8') as f:
+        targets = json.load(f)
+        for t in targets:
+            innung_to_person[normalize_name(t['innung'])] = t.get('person', 'N/A')
+
+    # Batch 6 Part 1
+    with open('cologne_duesseldorf_data/batch6_results_part1.json', 'r', encoding='utf-8') as f:
+        part1 = json.load(f)
+        for item in part1:
+            name = normalize_name(item['innung'])
+            if name not in seen_names:
+                person = innung_to_person.get(name, 'N/A')
+                new_leads.append({
+                    "Firm/Innung": name,
+                    "Contact Person": person,
+                    "Email": item['email'],
+                    "Region": "Düsseldorf/Surrounding"
+                })
+                seen_names.add(name)
+
+    # Batch 6 Part 2
+    with open('cologne_duesseldorf_data/batch6_results_part2.json', 'r', encoding='utf-8') as f:
+        part2 = json.load(f)
+        for item in part2:
+            name = normalize_name(item['innung'])
+            if name not in seen_names:
+                person = innung_to_person.get(name, 'N/A')
+                new_leads.append({
+                    "Firm/Innung": name,
+                    "Contact Person": person,
+                    "Email": item['email'],
+                    "Region": "Düsseldorf/Surrounding"
+                })
+                seen_names.add(name)
+                
+    print(f"Added {len(new_leads)} new leads.")
+    
+    all_leads = existing_leads + new_leads
+    print(f"Total leads: {len(all_leads)}")
+    
+    fieldnames = ['Firm/Innung', 'Contact Person', 'Email', 'Region']
+    
+    with open('final_leads.csv', 'w', newline='', encoding='utf-8') as f:
+        writer = csv.DictWriter(f, fieldnames=fieldnames)
+        writer.writeheader()
+        writer.writerows(all_leads)
+        
+    with open('leads.csv', 'w', newline='', encoding='utf-8') as f:
+        writer = csv.DictWriter(f, fieldnames=fieldnames)
+        writer.writeheader()
+        writer.writerows(all_leads)
+
+if __name__ == "__main__":
+    finalize_leads()