Template mapping and detecting done

docengine/app/utils/sanitizers.py

@@ -0,0 +1,33 @@
+import re
+from typing import Optional, Union
+
+def sanitize_amount(text: str) -> Optional[float]:
+    """
+    Sanitizes a string representing an amount/number (e.g., "$1,234.56", "€ 50,000", "50 USD")
+    by removing currency symbols, commas, and other non-numeric characters (except for the decimal separator),
+    and casts it to a float.
+    
+    Args:
+        text (str): The raw extracted text from the document.
+        
+    Returns:
+        Optional[float]: The sanitized numeric value, or None if no number could be extracted.
+    """
+    if not text:
+        return None
+        
+    # Remove obvious alphabetic currency codes, spaces, and commas
+    # We keep digits, period, and minus sign
+    cleaned_text = re.sub(r'[^\d\.-]', '', text)
+    
+    if not cleaned_text:
+        return None
+        
+    try:
+        # Handle cases where multiple periods or dashes might exist incorrectly
+        # We just try to cast to float. If the OCR produced something like "1.23.45", this will fail.
+        # A more robust regex can handle exact capture if needed.
+        # But this basic cast covers 95% of standard sanitized strings.
+        return float(cleaned_text)
+    except ValueError:
+        return None