feat: Implement mobile application and lead processing utilities.

scripts/organize_project.py

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+import os
+import shutil
+import csv
+import glob
+
+def normalize(text):
+    return text.strip() if text else ""
+
+def organize():
+    # 1. Create Directories
+    for d in ['leads', 'leads/raw', 'scripts']:
+        if not os.path.exists(d):
+            os.makedirs(d)
+            print(f"Created directory: {d}")
+
+    # 2. Consolidate and Deduplicate Leads
+    all_leads = []
+    seen = set()
+    
+    # Files to load leads from (priority order)
+    lead_files = ['final_leads.csv', 'leads.csv']
+    
+    for fname in lead_files:
+        if os.path.exists(fname):
+            with open(fname, 'r', encoding='utf-8') as f:
+                reader = csv.DictReader(f)
+                for row in reader:
+                    # Key for dedupe: Email is strongest, then Name
+                    email = normalize(row.get('Email', ''))
+                    name = normalize(row.get('Firm/Innung') or row.get('Innung', ''))
+                    
+                    if not email and not name:
+                        continue
+                        
+                    key = email if email else name
+                    
+                    if key not in seen:
+                        # Normalize headers
+                        clean_row = {
+                            'Firm/Innung': name,
+                            'Contact Person': normalize(row.get('Contact Person', '')),
+                            'Email': email,
+                            'Region': normalize(row.get('Region') or row.get('Source', ''))
+                        }
+                        
+                        all_leads.append(clean_row)
+                        seen.add(key)
+    
+    # Write optimized master file
+    if all_leads:
+        out_path = 'leads/all_leads.csv'
+        with open(out_path, 'w', newline='', encoding='utf-8') as f:
+            fieldnames = ['Firm/Innung', 'Contact Person', 'Email', 'Region']
+            writer = csv.DictWriter(f, fieldnames=fieldnames)
+            writer.writeheader()
+            writer.writerows(all_leads)
+        print(f"Successfully created {out_path} with {len(all_leads)} unique leads.")
+    
+    # 3. Move Files
+    # Move Python scripts
+    for py_file in glob.glob("*.py"):
+        if py_file == "organize_project.py": continue
+        shutil.move(py_file, os.path.join("scripts", py_file))
+        print(f"Moved {py_file} to scripts/")
+
+    # Move raw CSVs and PDFs
+    raw_files = [
+        'leads_unterfranken.csv', 
+        'innungen_leads_koeln_duesseldorf.csv',
+        'unterfranken.pdf',
+        'leads.csv',
+        'final_leads.csv'
+    ]
+    
+    for rf in raw_files:
+        if os.path.exists(rf):
+            dst = os.path.join("leads/raw", rf)
+            # Handle collision
+            if os.path.exists(dst):
+                os.remove(dst)
+            shutil.move(rf, dst)
+            print(f"Moved {rf} to leads/raw/")
+
+if __name__ == "__main__":
+    organize()