Fix KML site labels and update physical DB

physical_db/physical_database.csv

@@ -4161,7 +4161,7 @@
 6629,3,6629_3,220,-8.577166667,11.02927778,57.4,FARASSABABEN,FARASSABABEN,Yanfolila,Sikasso,,0,0,
 663,1,663_1,0,-5.48177778,12.38461111,57.4,KOUTIALA,KOUTIALA,KOUTIALA,KOUTIALA,,0,0,
 663,2,663_2,120,-5.48177778,12.38461111,57.4,KOUTIALA,KOUTIALA,KOUTIALA,KOUTIALA,,0,0,
-663,3,663_3,350,-5.48177778,12.38461111,57.4,KOUTIALA,KOUTIALA,KOUTIALA,KOUTIALA,,0,0,
+663,3,663_3,240,-5.48177778,12.38461111,57.4,KOUTIALA,KOUTIALA,KOUTIALA,KOUTIALA,,0,0,
 6630,1,6630_1,20,-7.306555556,11.48488889,57.4,FLOKOLON,FLOKOLON,BOUGOUNI,SIKASSO,,0,0,
 6630,2,6630_2,160,-7.306555556,11.48488889,57.4,FLOKOLON,FLOKOLON,BOUGOUNI,SIKASSO,,0,0,
 6630,3,6630_3,260,-7.306555556,11.48488889,57.4,FLOKOLON,FLOKOLON,BOUGOUNI,SIKASSO,,0,0,

queries/process_gsm.py

@@ -221,7 +221,7 @@ def process_gsm_data_to_excel(file_path: str):
 
 def process_gsm_data_to_kml(file_path: str):
     gsm_kml_df = process_gsm_data(file_path)
-    gsm_kml_df = gsm_kml_df[GSM_KML_COLUMNS]
+    gsm_kml_df = gsm_kml_df[GSM_KML_COLUMNS].copy()
     # Add colors column base on "band" column
     gsm_kml_df["color"] = gsm_kml_df["band"].map(UtilsVars.color_mapping)
     # Add size column base on "band" column

queries/process_lte.py

@@ -257,10 +257,10 @@ def process_lte_data_to_kml(file_path: str):
     lte_kml_dfs = process_lte_data(file_path)
 
     lte_fdd_klm_df = lte_kml_dfs[0]
-    lte_fdd_klm_df = lte_fdd_klm_df[LTE_KML_COLUMNS]
+    lte_fdd_klm_df = lte_fdd_klm_df[LTE_KML_COLUMNS].copy()
 
     lte_tdd_klm_df = lte_kml_dfs[1]
-    lte_tdd_klm_df = lte_tdd_klm_df[LTE_KML_COLUMNS]
+    lte_tdd_klm_df = lte_tdd_klm_df[LTE_KML_COLUMNS].copy()
 
     # Merge FDD and TDD dataframes
     lte_kml_df = pd.concat([lte_fdd_klm_df, lte_tdd_klm_df], ignore_index=True)

queries/process_wcdma.py

@@ -223,7 +223,7 @@ def process_wcdma_data_to_kml(file_path: str):
         file_path (str): The path to the file.
     """
     wcdma_kml_df = process_wcdma_data(file_path)
-    wcdma_kml_df = wcdma_kml_df[WCDMA_KML_COLUMNS]
+    wcdma_kml_df = wcdma_kml_df[WCDMA_KML_COLUMNS].copy()
     # Add colors column base on "band" column
     wcdma_kml_df["color"] = wcdma_kml_df["band"].map(UtilsVars.color_mapping)
     # Add size column base on "band" column

tests/test_kml_creator.py

@@ -0,0 +1,26 @@
+import pandas as pd
+
+from utils.kml_creator import generate_kml_from_df
+
+
+def test_generate_kml_from_df_formats_integer_like_site_codes_without_decimal():
+    df = pd.DataFrame(
+        [
+            {
+                "code": 694.0,
+                "name": "694_TEST",
+                "Longitude": -7.1,
+                "Latitude": 12.3,
+                "Azimut": 30,
+                "Hauteur": 40,
+                "band": "G900",
+                "color": "7fff0000",
+                "size": 100,
+            }
+        ]
+    )
+
+    kml_text = generate_kml_from_df(df).getvalue().decode("utf-8")
+
+    assert "<name>694</name>" in kml_text
+    assert "<name>694.0</name>" not in kml_text

utils/kml_creator.py

@@ -6,11 +6,31 @@ import pandas as pd
 import simplekml
 
 
+def _format_kml_value(value) -> str:
+    """Render integer-like numeric values without a trailing .0 in KML text."""
+    if pd.isna(value):
+        return ""
+
+    if isinstance(value, str):
+        return value
+
+    if isinstance(value, (bool, np.bool_)):
+        return str(value)
+
+    if isinstance(value, (int, np.integer)):
+        return str(int(value))
+
+    if isinstance(value, (float, np.floating)):
+        return str(int(value)) if float(value).is_integer() else str(value)
+
+    return str(value)
+
+
 def create_sector(kml: simplekml.Kml, row, arc_angle=65):
     """Create a sector shape for the telecom antenna in KML with sector details."""
     code, name, azimuth, lon, lat, size, color = (
-        row["code"],
-        row["name"],
+        _format_kml_value(row["code"]),
+        _format_kml_value(row["name"]),
         row["Azimut"],
         row["Longitude"],
         row["Latitude"],
@@ -39,7 +59,7 @@ def create_sector(kml: simplekml.Kml, row, arc_angle=65):
     # Dynamically create the description from all DataFrame columns
     description = "<b>Sector Details:</b><br>"
     for column, value in row.items():
-        description += f"<b>{column}:</b> {value}<br>"
+        description += f"<b>{column}:</b> {_format_kml_value(value)}<br>"
 
     pol.description = description
     pol.style.polystyle.color = color  # Set color from DataFrame
@@ -58,7 +78,8 @@ def generate_kml_from_df(df: pd.DataFrame):
     )  # Larger first, smaller on top
 
     for _, row in df_sorted.iterrows():
-        code, lon, lat = row["code"], row["Longitude"], row["Latitude"]
+        code = _format_kml_value(row["code"])
+        lon, lat = row["Longitude"], row["Latitude"]
 
         # Add site name as a point only once
         if code not in site_added: