Update app.py

app.py

@@ -2,104 +2,47 @@ import streamlit as st
 import pandas as pd
 import re
 from io import BytesIO
-import streamlit.components.v1 as components
 
-# -------------------------------------------------
-# Page Setup
-# -------------------------------------------------
-st.set_page_config(page_title="JSON Text to Excel", layout="wide")
-st.title("📘 JSON Text → Excel Converter(Jaganath's Bot)")
+st.set_page_config(page_title="XML to Excel Converter", layout="wide")
 
-st.markdown(
-    "Paste JSON-like **text data** (not strict JSON). "
-    "The app parses it line-by-line and generates Excel output. "
-    "You can also copy the two columns to clipboard."
-)
-
-# -------------------------------------------------
-# Text Input (HF Safe)
-# -------------------------------------------------
-if "json_text" not in st.session_state:
-    st.session_state.json_text = ""
+st.title("📄 XML to Excel Converter")
+st.write("Extract **ErrorCode** and **Message** from XML text and export to Excel.")
 
-text_input = st.text_area(
-    "JSON Data (Text Format)",
-    height=380,
-    key="json_text",
-    placeholder='''"LABELS": {
-  "ICN": {
-    "ICN_SHIFT": "Shift Management"
-  }
-}'''
+# --- Text Area Container ---
+xml_input = st.text_area(
+    label="XML Data",
+    height=300,
+    placeholder="Paste your XML exception data here..."
 )
 
-# -------------------------------------------------
-# Line-by-line Parser (ROBUST)
-# -------------------------------------------------
-def parse_text_to_rows(text):
-    rows = []
-
-    for line in text.splitlines():
-        line = line.strip()
-        if not line:
-            continue
-
-        # Remove trailing commas
-        line = line.rstrip(",")
-
-        # Match "KEY": {
-        obj_match = re.match(r'"([^"]+)"\s*:\s*\{', line)
-        if obj_match:
-            rows.append([obj_match.group(1), None])
-            continue
-
-        # Match "KEY": "VALUE"
-        kv_match = re.match(r'"([^"]+)"\s*:\s*"([^"]*)"', line)
-        if kv_match:
-            rows.append([kv_match.group(1), kv_match.group(2)])
-            continue
-
-    return pd.DataFrame(
-        rows,
-        columns=["Object Name/Key Name", "Values"]
-    )
-
-# -------------------------------------------------
-# Button Action
-# -------------------------------------------------
-if st.button("Generate Excel Data", type="primary"):
-    raw_text = st.session_state.json_text
-
-    if raw_text.strip() == "":
-        st.warning("⚠️ Please paste JSON-like text data.")
+# --- Button ---
+if st.button("Generate Excel Data"):
+    if not xml_input.strip():
+        st.warning("⚠️ Please paste XML data before generating Excel.")
     else:
-        df = parse_text_to_rows(raw_text)
+        # Regex to extract ErrorCode and Message values inside quotes
+        pattern = r'ErrorCode="(.*?)".*?Message="(.*?)"'
+        matches = re.findall(pattern, xml_input, re.DOTALL)
 
-        if df.empty:
-            st.error("❌ No valid key/value data found.")
+        if not matches:
+            st.error("❌ No valid ErrorCode and Message found in the XML.")
         else:
-            st.subheader("📊 Excel Preview")
-            st.dataframe(df, use_container_width=True)
+            # Create DataFrame
+            df = pd.DataFrame(matches, columns=["ErrorCode", "Message"])
 
-            # -------------------------
-            # Copy to Clipboard Button (Only content)
-            # -------------------------
-            csv_text = df.to_csv(index=False, sep="\t", header=False)  # <-- header=False
-            copy_button_html = f"""
-            <button onclick="navigator.clipboard.writeText(`{csv_text}`)">📋 Copy Two Columns</button>
-            """
-            components.html(copy_button_html, height=50)
+            # Display extracted data
+            st.success("✅ Data extracted successfully!")
+            st.dataframe(df, use_container_width=True)
 
-            # -------------------------
-            # Excel Export
-            # -------------------------
-            buffer = BytesIO()
-            with pd.ExcelWriter(buffer, engine="xlsxwriter") as writer:
-                df.to_excel(writer, index=False, sheet_name="Labels")
+            # Convert to Excel
+            output = BytesIO()
+            with pd.ExcelWriter(output, engine="openpyxl") as writer:
+                df.to_excel(writer, index=False, sheet_name="Errors")
 
+            # Download Button
             st.download_button(
-                "📥 Download Excel File",
-                buffer.getvalue(),
-                "JSON_Text_To_Excel.xlsx",
-                "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
+                label="⬇️ Download Excel",
+                data=output.getvalue(),
+                file_name="ErrorCodes.xlsx",
+                mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
             )