Addind Synchronized checking
Browse files- queries/process_neighbors.py +37 -1
queries/process_neighbors.py
CHANGED
@@ -9,6 +9,7 @@ from utils.utils_vars import UtilsVars
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ADCE_INITIAL_COLUMNS = [
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"ID_BTS",
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"lac_id",
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]
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ADJS_INITIAL_COLUMNS = [
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@@ -18,12 +19,14 @@ ADJS_INITIAL_COLUMNS = [
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BTS_SOURCE = [
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"ID_BTS",
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"name",
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"Longitude",
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"Latitude",
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]
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BTS_TARGET = [
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"lac_id",
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"name",
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"Longitude",
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"Latitude",
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@@ -118,7 +121,11 @@ def process_neighbors_data(file_path: str):
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# Rename SOURCELongitude and Latitude columns
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df_adce_final.rename(
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-
columns={
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inplace=True,
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)
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@@ -131,10 +138,21 @@ def process_neighbors_data(file_path: str):
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"lac_id": "TARGET_LAC_ID",
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"Longitude": "TARGET_Longitude",
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"Latitude": "TARGET_Latitude",
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},
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inplace=True,
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)
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df_adce_final = check_symmetry(df_adce_final)
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# create distance column
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df_adce_final["distance_km"] = df_adce_final.apply(
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@@ -145,6 +163,24 @@ def process_neighbors_data(file_path: str):
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axis=1,
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)
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# process ADJS data
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df_adjs = dfs["ADJS"]
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df_adjs.columns = df_adjs.columns.str.replace(r"[ ]", "", regex=True)
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ADCE_INITIAL_COLUMNS = [
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"ID_BTS",
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"lac_id",
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"synchronized",
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]
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ADJS_INITIAL_COLUMNS = [
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BTS_SOURCE = [
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"ID_BTS",
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"ID_BCF",
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"name",
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"Longitude",
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"Latitude",
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]
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BTS_TARGET = [
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"lac_id",
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"ID_BCF",
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"name",
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"Longitude",
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"Latitude",
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# Rename SOURCELongitude and Latitude columns
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df_adce_final.rename(
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columns={
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"Longitude": "SOURCE_Longitude",
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"Latitude": "SOURCE_Latitude",
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"ID_BCF": "SOURCE_ID_BCF",
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},
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inplace=True,
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)
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"lac_id": "TARGET_LAC_ID",
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"Longitude": "TARGET_Longitude",
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"Latitude": "TARGET_Latitude",
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"ID_BCF": "TARGET_ID_BCF",
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},
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inplace=True,
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)
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df_adce_final = check_symmetry(df_adce_final)
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# Add column "Sync Comment"
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# if SOURCE_ID_BCF = TARGET_ID_BCF and synchronized = 0 the "Need synchronized" else ""
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df_adce_final["Sync Comment"] = df_adce_final.apply(
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lambda row: (
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"Need synchronized"
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if row["SOURCE_ID_BCF"] == row["TARGET_ID_BCF"] and row["synchronized"] == 0
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else ""
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),
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axis=1,
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)
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# create distance column
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df_adce_final["distance_km"] = df_adce_final.apply(
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axis=1,
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)
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# create final adce
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df_adce_final = df_adce_final[
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[
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"SOURCE_ID",
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"SOURCE_NAME",
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"SOURCE_Longitude",
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"SOURCE_Latitude",
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"TARGET_LAC_ID",
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"TARGET_NAME",
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"TARGET_Longitude",
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"TARGET_Latitude",
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"SYMETRIQUE",
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"synchronized",
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"Sync Comment",
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"distance_km",
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]
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]
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# process ADJS data
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df_adjs = dfs["ADJS"]
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df_adjs.columns = df_adjs.columns.str.replace(r"[ ]", "", regex=True)
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