Update Physical DB after azimuth validation

utils/azimuth_validation.py

@@ -0,0 +1,35 @@
+import pandas as pd
+
+from utils.convert_to_excel import save_dataframe
+
+url = r"./physical_db/physical_database.csv"
+
+df = pd.read_csv(url)
+
+
+def validate_azimuth(group):
+    """
+    Validates the azimuth ordering within a group.
+
+    This function checks if the azimuth values are strictly increasing when there are exactly three values.
+    To make sure that Sector 3 is higher than Sector 2 and Sector 2 is higher than Sector 1
+
+    Args:
+        group (pd.DataFrame): A DataFrame group containing an 'Azimut' column.
+
+    Returns:
+        bool: True if the azimuth values are strictly increasing when there are exactly three values, False otherwise.
+    """
+
+    azimuths = group.get("Azimut", []).values
+    if len(azimuths) == 3 and not (azimuths[0] < azimuths[1] < azimuths[2]):
+        return False
+    return True
+
+
+# Apply validation per 'code'
+azimut_verification = df.groupby("CODE").apply(lambda x: validate_azimuth(x))
+df["Azimut_verification"] = df["CODE"].map(azimut_verification)
+
+save_dataframe(df, "azimut_verification")
+# print(df)