db_query / tests /test_process_mrbts.py
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Normalize MRBTS keys before merges
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import pandas as pd
from queries.process_mrbts import process_mrbts_data
from utils.utils_vars import UtilsVars
def test_process_mrbts_data_normalizes_mrbts_before_merge(monkeypatch):
dump_dfs = {
"MRBTS": pd.DataFrame(
{
"MRBTS": ["9201", "9202"],
"name": ["SITE_A", "SITE_B"],
"btsName": ["BTS_A", "BTS_B"],
}
),
"GNBCF": pd.DataFrame(
{
"MRBTS": [9201, 9202],
"bscId": [1, 2],
"bcfId": [11, 22],
}
),
"WNBTS": pd.DataFrame(
{
"MRBTS": [9201.0, 9202.0],
"wbtsId": [101, 202],
}
),
"ALD": pd.DataFrame(
{
"MRBTS": [9201, "9202"],
"productCode": ["P1", "P2"],
}
),
}
monkeypatch.setattr("queries.process_mrbts.read_dump_excel", lambda *args, **kwargs: dump_dfs)
UtilsVars.all_db_dfs = [
pd.DataFrame(
{
"ID_BCF": ["1_11", "2_22"],
"site_name": ["GSM_A", "GSM_B"],
"number_trx_per_bcf": [1, 2],
"bcf_config_band": ["G900", "G1800"],
"G1800 TRX Per BCF": [0, 1],
"G900 TRX Per BCF": [1, 0],
}
),
pd.DataFrame(),
pd.DataFrame(),
pd.DataFrame(
{
"WBTS": [101, 202],
"site_name": ["W_A", "W_B"],
"wbts_config_band": ["U900", "U2100"],
"Number of U2100 cells on WBTS": [0, 1],
"Number of U900 cells on WBTS": [1, 0],
}
),
pd.DataFrame(
{
"MRBTS": [9201, 9202],
"lnbts_name": ["L_A", "L_B"],
"lte_config_band": ["L1800", "L800"],
"Number of L1800 cells on MRBTS": [1, 0],
"Number of L2600 cells on MRBTS": [0, 0],
"Number of L800 cells on MRBTS": [0, 1],
}
),
pd.DataFrame(
{
"MRBTS": [9201, 9202],
"lnbts_name": ["LT_A", "LT_B"],
"lte_config_band": ["L2300", "L2300"],
"Number of L2300 cells on MRBTS": [1, 1],
}
),
]
UtilsVars.all_db_dfs_names = []
df_mrbts, _, _ = process_mrbts_data("dummy.xlsb")
assert list(df_mrbts["MRBTS"]) == ["9201", "9202"]
assert list(df_mrbts["ID_BCF"]) == ["1_11", "2_22"]
assert list(df_mrbts["WBTS"]) == [101, 202]
assert list(df_mrbts["productCode"]) == ["P1", "P2"]