feat: Implement mobile application and lead processing utilities.

recover_cologne_leads.py

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+import pandas as pd
+import os
+
+def normalize(text):
+    if not isinstance(text, str):
+        return ""
+    return text.strip().lower()
+
+def recover_cologne():
+    leads_csv_path = 'leads/leads.csv'
+    cologne_raw_path = 'leads/raw/innungen_leads_koeln_duesseldorf.csv'
+    
+    if not os.path.exists(leads_csv_path) or not os.path.exists(cologne_raw_path):
+        print("Files not found.")
+        return
+
+    # Load existing leads
+    leads_df = pd.read_csv(leads_csv_path)
+    done_emails = set(leads_df['Email'].apply(normalize))
+    done_names = set(leads_df['Firm/Innung'].apply(normalize))
+
+    # Load raw Cologne data
+    cologne_df = pd.read_csv(cologne_raw_path)
+    
+    new_rows = []
+    
+    print(f"Scanning {len(cologne_df)} raw entries...")
+
+    for _, row in cologne_df.iterrows():
+        name = row.get('organisation', '')
+        region = row.get('region', '')
+        email = row.get('email', '')
+        
+        # We only care about Cologne for this recovery
+        if str(region).lower() != 'koeln':
+            continue
+            
+        # Must have a valid email
+        if pd.isna(email) or email.strip() == '':
+            continue
+            
+        # Check if already in leads.csv
+        if normalize(email) in done_emails or normalize(name) in done_names:
+            continue
+            
+        # It's a valid new lead!
+        new_row = {
+            'Firm/Innung': name,
+            'Contact Person': 'N/A', # Raw data might not have person, or we need to check columns
+            'Email': email,
+            'Region': 'Köln'
+        }
+        new_rows.append(new_row)
+        done_emails.add(normalize(email)) # Prevent dupes within batch
+
+    print(f"Found {len(new_rows)} new Cologne leads to add.")
+    
+    if new_rows:
+        new_df = pd.DataFrame(new_rows)
+        # Append to CSV
+        new_df.to_csv(leads_csv_path, mode='a', header=False, index=False)
+        print("Successfully appended to leads.csv")
+    else:
+        print("No new leads found.")
+
+if __name__ == "__main__":
+    recover_cologne()