Create parse_toshiba.py

parse_toshiba.py

@@ -0,0 +1,32 @@
+import re
+from typing import Dict
+
+def parse_toshiba(file_text: str) -> Dict:
+    parsed_data = {
+        "Purchase Order No": "",
+        "Date": "",
+        "Supplier": "Toshiba Transmission and Distribution Systems (India) Pvt Ltd",
+        "Invoice Address": "",
+        "Delivery Address": "",
+        "Currency": "INR",
+        "Payment Terms": "",
+        "Items": []
+    }
+
+    try:
+        parsed_data["Purchase Order No"] = re.search(r"Purchase Order : (\w+)", file_text).group(1)
+        parsed_data["Date"] = re.search(r"Order Date : (\d{4}-\d{2}-\d{2})", file_text).group(1)
+
+        item_pattern = re.compile(r"Pos\.\s+(\d+)\s+([\w\s]+)\s+(\d+)\s+([\d.]+)\s+INR\s+([\d.]+)")
+        for match in item_pattern.finditer(file_text):
+            parsed_data["Items"].append({
+                "Position": 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 Toshiba PO: {e}")
+    
+    return parsed_data