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import time
from datetime import datetime
import streamlit as st
from st_aggrid import AgGrid, ColumnsAutoSizeMode
from apps.dump_analysis import dump_analysis_space
from queries.process_all_db import process_all_tech_db, process_all_tech_db_with_stats
from queries.process_gsm import process_gsm_data_to_excel
from queries.process_lte import process_lte_data_to_excel
# from queries.process_mal import process_mal_data_to_excel
from queries.process_mrbts import process_mrbts_data_to_excel
from queries.process_neighbors import process_neighbors_data_to_excel
# from queries.process_trx import process_trx_with_bts_name_data_to_excel
from queries.process_wcdma import process_wcdma_data_to_excel
from utils.check_sheet_exist import DumpType, Technology, execute_checks_sheets_exist
from utils.utils_vars import GsmAnalysisData, UtilsVars, WcdmaAnalysisData
st.title("Database processing")
uploaded_file = st.file_uploader("Upload updated dump file", type="xlsb")
def process_database(process_func, database_type):
if uploaded_file is not None:
start_time = time.time()
process_func(uploaded_file)
execution_time = time.time() - start_time
st.write(
f"{database_type} database is generated. Execution time: {execution_time:.2f} seconds"
)
download_button(database_type)
@st.fragment()
def download_button(database_type):
if database_type == "2G":
data = UtilsVars.final_gsm_database
file_name = f"2G database_{datetime.now()}.xlsx"
elif database_type == "3G":
data = UtilsVars.final_wcdma_database
file_name = f"3G database_{datetime.now()}.xlsx"
elif database_type == "LTE":
data = UtilsVars.final_lte_database
file_name = f"LTE database_{datetime.now()}.xlsx"
elif database_type == "All":
data = UtilsVars.final_all_database
file_name = f"All databases_{datetime.now()}.xlsx"
elif database_type == "NEI":
data = UtilsVars.neighbors_database
file_name = f"Neighbors databases_{datetime.now()}.xlsx"
# elif database_type == "TRX":
# data = UtilsVars.final_trx_database
# file_name = f"TRX database_{datetime.now()}.xlsx"
elif database_type == "MRBTS":
data = UtilsVars.final_mrbts_database
file_name = f"MRBTS database_{datetime.now()}.xlsx"
# elif database_type == "MAL":
# data = UtilsVars.final_mal_database
# file_name = f"MAL database_{datetime.now()}.xlsx"
st.download_button(
type="primary",
label=f"Download {database_type} Database File",
data=data,
file_name=file_name,
mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
)
def execute_process_all_tech_db(uploaded_file):
if uploaded_file is not None:
start_time = time.time()
process_all_tech_db(uploaded_file)
execution_time = time.time() - start_time
st.write(
f"All databases are generated. Execution time: {execution_time:.2f} seconds"
)
download_button("All")
# def execute_process_all_tech_db_with_stats(uploaded_file: str, region_list: list):
def execute_process_all_tech_db_with_stats(uploaded_file: str):
if uploaded_file is not None:
start_time = time.time()
process_all_tech_db_with_stats(
uploaded_file,
# region_list
)
execution_time = time.time() - start_time
st.write(
f"All databases are generated. Execution time: {execution_time:.2f} seconds"
)
download_button("All")
col1, col2, col3, col4 = st.columns(4)
col5, col6, col7, col8 = st.columns(4)
if uploaded_file is not None:
# UtilsVars.file_path = uploaded_file
try:
execute_checks_sheets_exist(uploaded_file)
if (
Technology.gsm == False
and Technology.wcdma == False
and Technology.lte == False
and Technology.neighbors == False
and Technology.trx == False
and Technology.mrbts == False
):
st.error(
"""
Uploaded file does not contain required sheets for any technology.
"gsm": ["BTS", "BCF", "TRX","MAL"],
"wcdma": ["WCEL", "WBTS", "WNCEL"],
"lte": ["LNBTS", "LNCEL", "LNCEL_FDD", "LNCEL_TDD"],
"neighbors": ["ADCE", "ADJS", "ADJI", "ADJG", "ADJW", "BTS", "WCEL"],
"trx": ["TRX", "BTS"],
"mrbts": ["MRBTS"],
"mal": ["MAL"],
"""
)
if (
Technology.gsm == True
and Technology.wcdma == True
and Technology.lte == True
and Technology.trx == True
and Technology.mrbts == True
and Technology.mal == True
):
DumpType.full_dump = True
with col1:
st.button(
"Generate All DBs",
on_click=lambda: execute_process_all_tech_db(uploaded_file),
)
if Technology.gsm == True:
with col2:
st.button(
"Generate 2G DB",
on_click=lambda: process_database(process_gsm_data_to_excel, "2G"),
)
if Technology.wcdma == True:
with col3:
st.button(
"Generate 3G DB",
on_click=lambda: process_database(
process_wcdma_data_to_excel, "3G"
),
)
if Technology.lte == True:
with col4:
st.button(
"Generate LTE DB",
on_click=lambda: process_database(process_lte_data_to_excel, "LTE"),
)
# if Technology.trx == True:
# with col5:
# st.button(
# "Generate TRX DB",
# on_click=lambda: process_database(
# process_trx_with_bts_name_data_to_excel, "TRX"
# ),
# )
if Technology.mrbts == True:
with col5:
st.button(
"Generate MRBTS",
on_click=lambda: process_database(
process_mrbts_data_to_excel, "MRBTS"
),
)
# if Technology.mal == True:
# with col7:
# st.button(
# "Generate MAL",
# on_click=lambda: process_database(process_mal_data_to_excel, "MAL"),
# )
if Technology.neighbors == True:
with col6:
st.button(
"Generate NEI DB",
on_click=lambda: process_database(
process_neighbors_data_to_excel, "NEI"
),
)
except Exception as e:
st.error(f"Error: {e}")
######################## ANALYTICS AND STATS ####################################
@st.fragment
def table_data():
if UtilsVars.all_db_dfs_names != []:
selected_table = st.selectbox("Choose Data", UtilsVars.all_db_dfs_names)
table_df = UtilsVars.all_db_dfs[
UtilsVars.all_db_dfs_names.index(selected_table)
]
st.write(f"### {selected_table} Data")
AgGrid(
table_df,
fit_columns_on_grid_load=True,
theme="streamlit",
enable_enterprise_modules=True,
filter=True,
# columns_auto_size_mode=ColumnsAutoSizeMode.FIT_CONTENTS,
)
if uploaded_file is not None:
if DumpType.full_dump == True:
# regions = st.multiselect(
# "Select the region(s) you want to analyze",
# ["Test BTS", "SKS", "SEG", "TBC", "KDL", "KKO", "GAO", "MPT", "KYS"],
# default=[
# "Test BTS",
# "SKS",
# "SEG",
# "TBC",
# "KDL",
# "KKO",
# "GAO",
# "MPT",
# "KYS",
# ],
# )
if st.button("Generate All DBs and Show Stats"):
# if regions:
execute_process_all_tech_db_with_stats(
uploaded_file,
# regions
)
tab1, tab2 = st.tabs(["🗃 Data", "📈 Chart"])
with tab1:
table_data()
with tab2:
dump_analysis_space()
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