adding sector kml generator app

app.py

@@ -21,6 +21,10 @@ pages = {
             "apps/multi_points_distance_calculator.py",
             title="Multi Points Distance Calculator",
         ),
+        st.Page(
+            "apps/sector_kml_generator.py",
+            title="📡 Sector KML Generator",
+        ),
         st.Page("apps/import_physical_db.py", title="Physical Database Verification"),
     ],
     "Documentations": [

apps/sector_kml_generator.py

@@ -0,0 +1,95 @@
+from datetime import datetime
+
+import pandas as pd
+import streamlit as st
+
+from utils.kml_creator import generate_kml_from_df
+
+st.title("📡 Telecom Sector KML Generator")
+
+
+# display mandatory columns
+
+col1, col2 = st.columns(2)
+
+with col1:
+    st.write("Mandatory columns:")
+    st.markdown(
+        """
+    | Column Name | Description |
+    | --- | --- |
+    | code| code of the site |
+    | name | Name of the sector |
+    | Azimut | Azimuth of the sector |
+    | Longitude | Longitude of the sector |
+    | Latitude | Latitude of the sector |
+    | Size | Size of the sector ex:100 |
+    | colors | Color of the sector |
+    """
+    )
+    st.write(
+        "All other columns added in the file will be displayed in the KML description for each sector."
+    )
+
+with col2:
+    st.markdown(
+        """
+    | Color Name | KML Color Code (AABBGGRR) |
+    | --- | --- |
+    | Red | 7f0000ff |
+    | Green | 7f00ff00 |
+    | Blue | 7fff0000 |
+    | Yellow | 7f00ffff |
+    | Cyan | 7fffff00 |
+    | Magenta | 7fff00ff |
+    | Orange | 7f007fff |
+    | Purple | 7f7f00ff |
+    | Pink | 7fcc99ff |
+    | Brown | 7f2a2aa5 |
+    """
+    )
+
+sector_kml_sample_file = "samples/Sector_kml.xlsx"
+
+# Create a download button
+st.download_button(
+    label="Download Sector KML sample File",
+    data=open(sector_kml_sample_file, "rb").read(),
+    file_name="Sector_kml.xlsx",
+    mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+)
+
+
+st.write("Upload an excel file containing sectors data to generate a KML file.")
+# Upload CSV file
+uploaded_file = st.file_uploader("Upload XLSX file", type=["xlsx"])
+
+if uploaded_file is not None:
+    # Read CSV
+    df = pd.read_excel(uploaded_file, keep_default_na=False)
+
+    # Check if required columns exist
+    required_columns = {
+        "code",
+        "name",
+        "Azimut",
+        "Longitude",
+        "Latitude",
+        "size",
+        "color",
+    }
+    if not required_columns.issubset(df.columns):
+        st.error(f"Uploaded file must contain columns: {', '.join(required_columns)}")
+    else:
+        # Generate KML
+        kml_data = generate_kml_from_df(df)
+
+        # Download button
+        st.download_button(
+            label="📥 Download KML",
+            data=kml_data,
+            file_name=f"Sectors_kml_{datetime.now()}.kml",
+            mime="application/vnd.google-earth.kml+xml",
+        )
+
+        st.success("KML file generated successfully! 🎉")