adding number of site per lac to GSM and WCDMA charts

apps/dump_analysis.py

@@ -79,6 +79,21 @@ def dump_analysis_space():
     with bts_administate_distribution_plot_col:
         st.bar_chart(GsmAnalysisData.bts_administate_distribution)
 
+    st.markdown("***")
+    st.markdown(":blue[**Number of Site per LAC**]")
+    number_of_site_per_lac_data_col, number_of_site_per_lac_plot_col = st.columns(2)
+    with number_of_site_per_lac_data_col:
+        st.write(GsmAnalysisData.number_of_site_per_lac)
+    with number_of_site_per_lac_plot_col:
+        fig = create_lac_count_per_controller_subplots(
+            df=GsmAnalysisData.number_of_site_per_lac,
+            controller_column="BSC_NAME_ID",
+            lac_column="LAC",
+            count_column="count",
+            fig_title="Number of Site per LAC and BSC",
+        )
+        st.plotly_chart(fig)
+
     st.markdown("***")
     st.markdown(":blue[**Number of Cell per LAC**]")
     number_of_cell_per_lac_data_col, number_of_cell_per_lac_plot_col = st.columns(2)
@@ -152,7 +167,21 @@ def dump_analysis_space():
         st.bar_chart(WcdmaAnalysisData.number_of_site_per_rnc)
 
     st.markdown("***")
+    st.markdown(":green[**Number of Site per LAC**]")
+    number_of_site_per_lac_data_col, number_of_site_per_lac_plot_col = st.columns(2)
+    with number_of_site_per_lac_data_col:
+        st.write(WcdmaAnalysisData.number_of_site_per_lac)
+    with number_of_site_per_lac_plot_col:
+        fig = create_lac_count_per_controller_subplots(
+            df=WcdmaAnalysisData.number_of_site_per_lac,
+            controller_column="RNC",
+            lac_column="LAC",
+            count_column="Site_Count",
+            fig_title="Number of Site per LAC and RNC",
+        )
+        st.plotly_chart(fig)
 
+    st.markdown("***")
     st.markdown(":green[**Number of Cell per LAC**]")
     number_of_cell_per_lac_data_col, number_of_cell_per_lac_plot_col = st.columns(2)
     with number_of_cell_per_lac_data_col:

documentations/database_doc.py

@@ -18,6 +18,7 @@ The app requires the following sheets to be present in the uploaded file:
     - BTS
     - BCF
     - TRX
+    - MAL
 2. **3G :**
     - WCEL
     - WBTS
@@ -35,6 +36,10 @@ The app requires the following sheets to be present in the uploaded file:
     - ADJW
     - BTS
     - WCEL
+5. **MRBTS :**
+    - MRBTS
+6. **INVUNIT :**
+    - INVUNIT
 
 Please ensure that these sheets are present in the uploaded file to avoid any errors.
 

queries/process_gsm.py

@@ -232,6 +232,14 @@ def gsm_analaysis(file_path: str):
     df_site_per_bsc = gsm_df[["BSC", "code"]]
     df_site_per_bsc = df_site_per_bsc.drop_duplicates(subset=["code"], keep="first")
 
+    df_site_per_lac = gsm_df[["BSC", "locationAreaIdLAC", "code"]]
+    df_site_per_lac["code_lac"] = (
+        df_site_per_lac["code"].astype(str)
+        + "_"
+        + df_site_per_lac["locationAreaIdLAC"].astype(str)
+    )
+    df_site_per_lac = df_site_per_lac.drop_duplicates(subset=["code_lac"], keep="first")
+
     GsmAnalysisData.total_number_of_bsc = len(gsm_df["BSC"].unique())
     GsmAnalysisData.total_number_of_cell = len(gsm_df["ID_BTS"].unique())
     GsmAnalysisData.number_of_site = len(gsm_df["site_name"].unique())
@@ -250,8 +258,10 @@ def gsm_analaysis(file_path: str):
     #     .rename(columns={"index": "value", 0: "count"})
     # )
 
+    ######################################## Number of trx per bsc
     GsmAnalysisData.number_of_trx_per_bsc = trx_df["BSC"].value_counts()
-    # GsmAnalysisData.number_of_cell_per_lac = gsm_df["locationAreaIdLAC"].value_counts()
+
+    ######################################## Number of cell per lac
     GsmAnalysisData.number_of_cell_per_lac = (
         gsm_df.groupby(["BSC", "locationAreaIdLAC"]).size().reset_index(name="count")
     )
@@ -281,9 +291,31 @@ def gsm_analaysis(file_path: str):
         ["BSC_NAME_ID", "LAC", "count"]
     ]
 
-    # GsmAnalysisData.number_of_cell_per_lac["BSC"] = (
-    #     "BSC_" + GsmAnalysisData.number_of_cell_per_lac["BSC"].astype(str)
-    # )
-    # GsmAnalysisData.number_of_cell_per_lac = GsmAnalysisData.number_of_cell_per_lac[
-    #     ["BSC", "LAC", "count"]
-    # ]
+    ######################################## Number of site per LA
+    GsmAnalysisData.number_of_site_per_lac = (
+        df_site_per_lac.groupby(["BSC", "locationAreaIdLAC"])
+        .size()
+        .reset_index(name="count")
+    )
+    # Get BSC name
+    GsmAnalysisData.number_of_site_per_lac["BSC_NAME"] = (
+        GsmAnalysisData.number_of_site_per_lac["BSC"].map(UtilsVars.bsc_name).fillna("")
+    )
+
+    # Rename columns
+    GsmAnalysisData.number_of_site_per_lac.rename(
+        columns={"BSC": "BSC", "locationAreaIdLAC": "LAC", "count": "count"},
+        inplace=True,
+    )
+    # Add "BSC_" and "LAC_" prefix to LAC column
+    GsmAnalysisData.number_of_site_per_lac["LAC"] = (
+        "LAC_" + GsmAnalysisData.number_of_site_per_lac["LAC"].astype(str)
+    )
+    GsmAnalysisData.number_of_site_per_lac["BSC_NAME_ID"] = (
+        GsmAnalysisData.number_of_site_per_lac[["BSC_NAME", "BSC"]]
+        .astype(str)
+        .apply("_".join, axis=1)
+    )
+    GsmAnalysisData.number_of_site_per_lac = GsmAnalysisData.number_of_site_per_lac[
+        ["BSC_NAME_ID", "LAC", "count"]
+    ]

queries/process_wcdma.py

@@ -244,6 +244,12 @@ def wcdma_analaysis(
     df_site_per_rnc = wcdma_df[["RNC", "code"]]
     df_site_per_rnc = df_site_per_rnc.drop_duplicates(subset=["code"], keep="first")
 
+    df_site_per_lac = wcdma_df[["RNC", "LAC", "code"]]
+    df_site_per_lac["code_lac"] = (
+        df_site_per_lac["code"].astype(str) + "_" + df_site_per_lac["LAC"].astype(str)
+    )
+    df_site_per_lac = df_site_per_lac.drop_duplicates(subset=["code_lac"], keep="first")
+
     WcdmaAnalysisData.total_number_of_rnc = wcdma_df["RNC"].nunique()
     WcdmaAnalysisData.total_number_of_wcel = wcdma_df["ID_WCEL"].nunique()
     WcdmaAnalysisData.number_of_site = len(wcdma_df["site_name"].unique())
@@ -273,3 +279,23 @@ def wcdma_analaysis(
     WcdmaAnalysisData.number_of_cell_per_lac["LAC"] = (
         "LAC_" + WcdmaAnalysisData.number_of_cell_per_lac["LAC"].astype(str)
     )
+
+    ##################### Number of site per LAC
+    WcdmaAnalysisData.number_of_site_per_lac = (
+        df_site_per_lac.groupby(["RNC", "LAC"]).size().reset_index(name="count")
+    )
+    # Rename columns
+    WcdmaAnalysisData.number_of_site_per_lac = (
+        WcdmaAnalysisData.number_of_site_per_lac.rename(
+            columns={"RNC": "RNC", "LAC": "LAC", "count": "Site_Count"}
+        )
+    )
+    # Add "RNC_" and "LAC_" prefix
+    WcdmaAnalysisData.number_of_site_per_lac["RNC"] = (
+        "RNC_" + WcdmaAnalysisData.number_of_site_per_lac["RNC"].astype(str)
+    )
+    WcdmaAnalysisData.number_of_site_per_lac["LAC"] = (
+        "LAC_" + WcdmaAnalysisData.number_of_site_per_lac["LAC"].astype(str)
+    )
+
+    print(WcdmaAnalysisData.number_of_site_per_lac)

utils/utils_vars.py

@@ -138,6 +138,7 @@ class GsmAnalysisData:
     trx_administate_distribution = pd.DataFrame()
     number_of_trx_per_bsc = pd.DataFrame()
     number_of_cell_per_lac = pd.DataFrame()
+    number_of_site_per_lac = pd.DataFrame()
 
 
 class WcdmaAnalysisData:
@@ -151,6 +152,7 @@ class WcdmaAnalysisData:
     wcel_administate_distribution = pd.DataFrame()
     psc_distribution = pd.DataFrame()
     number_of_cell_per_lac = pd.DataFrame()
+    number_of_site_per_lac = pd.DataFrame()
 
 
 class LteFddAnalysisData: