Create parse_federal_transformers.py

parse_federal_transformers.py

@@ -0,0 +1,35 @@
+import re
+from typing import Dict
+
+def parse_federal_transformers(file_text: str) -> Dict:
+    parsed_data = {
+        "Purchase Order No": "",
+        "Date": "",
+        "Supplier": "Federal Transformers Co. LLC",
+        "Invoice Address": "",
+        "Delivery Address": "",
+        "Currency": "",
+        "Payment Terms": "",
+        "Items": []
+    }
+
+    try:
+        parsed_data["Purchase Order No"] = re.search(r"Purchase Order No\.\s(\d+)", file_text).group(1)
+        parsed_data["Date"] = re.search(r"Date:\s+(\d{2}-\w{3}-\d{2})", file_text).group(1)
+        
+        parsed_data["Invoice Address"] = re.search(r"Invoice Address\s*:\s*(.*?)(?=\sDelivery Address)", file_text, re.DOTALL).group(1).strip()
+        parsed_data["Delivery Address"] = re.search(r"Delivery Address\s*:\s*(.*?)(?=\sNote)", file_text, re.DOTALL).group(1).strip()
+
+        item_pattern = re.compile(r"(\d+)\s+([\w\s]+)\s+(\d+)\s+([\d.]+)\s+([\d.]+)")
+        for match in item_pattern.finditer(file_text):
+            parsed_data["Items"].append({
+                "Item No": match.group(1),
+                "Description": match.group(2).strip(),
+                "Quantity": int(match.group(3)),
+                "Unit Price": float(match.group(4)),
+                "Total Price": float(match.group(5)),
+            })
+    except Exception as e:
+        print(f"Error parsing Federal Transformers PO: {e}")
+    
+    return parsed_data