feat: Implement mobile application and lead processing utilities.

scripts/extract_leads.py

@@ -0,0 +1,85 @@
+
+import re
+import csv
+from pypdf import PdfReader
+
+def extract_leads(pdf_path, output_csv):
+    reader = PdfReader(pdf_path)
+    text = ""
+    for page in reader.pages:
+        text += page.extract_text() + "\n"
+
+    lines = text.split('\n')
+    
+    leads = []
+    seen_emails = set()
+    
+    current_innung = "Unbekannte Innung"
+    current_contact = None
+    
+    # Improved patterns
+    # Innung usually starts the line, maybe bolded in PDF (not visible here).
+    # We look for keywords.
+    innung_start_keywords = ["Innung", "Kreishandwerkerschaft", "Bäckerinnung", "Bauinnung", "Metzgerinnung", "Friseurinnung", "Maler", "Zimmerer"]
+    
+    email_pattern = re.compile(r"E-Mail:\s*([a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,})")
+    obermeister_pattern = re.compile(r"Obermeister(?:in)?:\s*(.*)")
+    ansprechpartner_pattern = re.compile(r"Ansprechpartner(?:in)?:\s*(.*)")
+    kreishandwerksmeister_pattern = re.compile(r"Kreishandwerksmeister(?:in)?:\s*(.*)")
+
+    for line in lines:
+        line = line.strip()
+        if not line:
+            continue
+        
+        # Heuristic for Innung name: contains "Innung" or "schaft", is not a sentence (no " und ", " die ", etc in middle usually?), short length.
+        # The PDF seems to use headers like "Bäckerinnung Bayerischer Untermain"
+        if any(k in line for k in innung_start_keywords) and len(line) < 80 and " und " not in line[5:-5] and "," not in line:
+             if " die " not in line and " der " not in line:
+                current_innung = line
+                current_contact = None # New Innung, reset contact?
+        
+        # Capture contact
+        match_om = obermeister_pattern.match(line)
+        if match_om:
+            current_contact = match_om.group(1)
+        
+        match_ap = ansprechpartner_pattern.match(line)
+        if match_ap and not current_contact:
+             current_contact = match_ap.group(1)
+
+        match_khm = kreishandwerksmeister_pattern.match(line)
+        if match_khm:
+             current_contact = match_khm.group(1)
+
+        # Capture Email
+        match_email = email_pattern.search(line)
+        if match_email:
+            email = match_email.group(1)
+            
+            # Additional cleanup
+            if email in seen_emails:
+                continue
+            
+            # validation
+            if len(email) < 5 or "@" not in email:
+                continue
+
+            seen_emails.add(email)
+            leads.append({
+                "Firm/Innung": current_innung,
+                "Contact Person": current_contact if current_contact else "N/A",
+                "Email": email,
+                "Region": "Unterfranken"
+            })
+
+    # Write to CSV
+    with open(output_csv, 'w', newline='', encoding='utf-8') as f:
+        writer = csv.DictWriter(f, fieldnames=["Firm/Innung", "Contact Person", "Email", "Region"])
+        writer.writeheader()
+        writer.writerows(leads)
+    
+    print(f"Extracted {len(leads)} unique leads to {output_csv}")
+
+if __name__ == "__main__":
+    extract_leads("unterfranken.pdf", "leads.csv")