diff --git a/backend/tests/test_sap_model_prep.py b/backend/tests/test_sap_model_prep.py
index c27d05dc..dc793cad 100644
--- a/backend/tests/test_sap_model_prep.py
+++ b/backend/tests/test_sap_model_prep.py
@@ -9,96 +9,86 @@ import pytest
 from utils.s3 import read_dataframe_from_s3_parquet
 from tqdm import tqdm
 
+
 # Handy code for selecting testin data
-import pickle
-
-with open("sap_change_dataset.pickle", "rb") as f:
-    sap_change_dataset = pickle.load(f)
-
-z = sap_change_dataset[(sap_change_dataset["NUMBER_OPEN_FIREPLACES_ENDING"] > 0) & (
-    sap_change_dataset["NUMBER_OPEN_FIREPLACES_STARTING"] > 0)].head(2).tail(1)
-z["UPRN"]
-z["SAP_STARTING"]
-z["SAP_ENDING"]
-z["NUMBER_OPEN_FIREPLACES_STARTING"]
-z["NUMBER_OPEN_FIREPLACES_ENDING"]
-
-# 10002083298
-
-# m
-search_from = sap_change_dataset[
-    (sap_change_dataset["walls_thermal_transmittance_ENDING"] == sap_change_dataset["walls_thermal_transmittance"])
-]
-search_from = search_from[
-    (search_from["roof_thermal_transmittance_ENDING"] == search_from["roof_thermal_transmittance"]) &
-    (search_from["floor_thermal_transmittance_ENDING"] == search_from["floor_thermal_transmittance"]) &
-    (search_from["MECHANICAL_VENTILATION_ENDING"] == search_from["MECHANICAL_VENTILATION_STARTING"]) &
-    (search_from["SECONDHEAT_DESCRIPTION_ENDING"] == search_from["SECONDHEAT_DESCRIPTION_STARTING"]) &
-    (search_from["GLAZED_TYPE_ENDING"] == search_from["GLAZED_TYPE_STARTING"]) &
-    (search_from["NUMBER_OPEN_FIREPLACES_STARTING"] > 0) &
-    (search_from["NUMBER_OPEN_FIREPLACES_ENDING"] == 0)
-    ]
-
-# Find a record where the only difference is cavity wall getting filled
-ending_cols = [c for c in search_from.columns if "_ENDING" in c]
-
-ignore = [
-    "SAP_ENDING", "HEAT_DEMAND_ENDING", "CARBON_ENDING", "TRANSACTION_TYPE_ENDING", "FLOOR_HEIGHT_ENDING",
-    "DAYS_TO_ENDING", "TOTAL_FLOOR_AREA_ENDING"
-]
-
-ending_cols = [c for c in ending_cols if c not in ignore]
-
-for _, row in tqdm(search_from.iterrows(), total=search_from.shape[0]):
-
-    same = True
-    starting_cols = []
-    for c in ending_cols:
-
-        starting_col = c.replace("_ENDING", "")
-        if starting_col not in search_from.columns:
-            starting_col = c.replace("_ENDING", "_STARTING")
-            if starting_col not in search_from.columns:
-                raise Exception("something went wrong")
-
-        starting_cols.append(starting_col)
-
-        # We want them to be different
-        if c == "NUMBER_OPEN_FIREPLACES_ENDING":
-            if (row[c] == row[starting_col]) | (row[starting_col] != "natural"):
-                same = False
-                break
-            else:
-                continue
-
-        # We now check if the starting and ending values are the same
-        if row[c] != row[starting_col]:
-            same = False
-            break
-
-    if same:
-        raise Exception("We found one!")
-
-    fixed_cols = [c for c in search_from.columns if c not in starting_cols + ending_cols]
-
-    import pandas as pd
-
-    start = row[["SAP_STARTING"] + starting_cols]
-    start.index = [c.replace("_STARTING", "") for c in start.index]
-    end = row[["SAP_ENDING"] + ending_cols]
-    end.index = [c.replace("_ENDING", "") for c in end.index]
-    start["type"] = "starting"
-    end["type"] = "ending"
-
-    compare = pd.concat([start, end], axis=1)
-
-ending_lmk = "bab3983fa167717b8bb4a36ef395046d53937f9b880a45bcc751270d72e5de45"
-starting_lmk = "736b6f4803a11d9e45b49bf98f36eb8a7f357b0dd24f3e7cddef5295518e5bef"
-
-client = EpcClient(auth_token=EPC_AUTH_TOKEN)
-result = client.domestic.search(params={"address": "9 Glebe Road, Asfordby Hill", "postcode": "LE14 3QT"})
-starting_epc = [x for x in result["rows"] if x["lmk-key"] == starting_lmk][0]
-ending_epc = [x for x in result["rows"] if x["lmk-key"] == ending_lmk][0]
+# import pickle
+#
+# with open("sap_change_dataset.pickle", "rb") as f:
+#     sap_change_dataset = pickle.load(f)
+#
+# search_from = sap_change_dataset[
+#     (sap_change_dataset["walls_thermal_transmittance_ENDING"] == sap_change_dataset["walls_thermal_transmittance"])
+# ]
+# search_from = search_from[
+#     (search_from["roof_thermal_transmittance_ENDING"] == search_from["roof_thermal_transmittance"]) &
+#     (search_from["floor_thermal_transmittance_ENDING"] == search_from["floor_thermal_transmittance"]) &
+#     (search_from["MECHANICAL_VENTILATION_ENDING"] == search_from["MECHANICAL_VENTILATION_STARTING"]) &
+#     (search_from["SECONDHEAT_DESCRIPTION_ENDING"] == search_from["SECONDHEAT_DESCRIPTION_STARTING"]) &
+#     (search_from["GLAZED_TYPE_ENDING"] == search_from["GLAZED_TYPE_STARTING"]) &
+#     (search_from["NUMBER_OPEN_FIREPLACES_STARTING"] > 0) &
+#     (search_from["NUMBER_OPEN_FIREPLACES_ENDING"] == 0)
+#     ]
+#
+# # Find a record where the only difference is cavity wall getting filled
+# ending_cols = [c for c in search_from.columns if "_ENDING" in c]
+#
+# ignore = [
+#     "SAP_ENDING", "HEAT_DEMAND_ENDING", "CARBON_ENDING", "TRANSACTION_TYPE_ENDING", "FLOOR_HEIGHT_ENDING",
+#     "DAYS_TO_ENDING", "TOTAL_FLOOR_AREA_ENDING"
+# ]
+#
+# ending_cols = [c for c in ending_cols if c not in ignore]
+#
+# for _, row in tqdm(search_from.iterrows(), total=search_from.shape[0]):
+#
+#     same = True
+#     starting_cols = []
+#     for c in ending_cols:
+#
+#         starting_col = c.replace("_ENDING", "")
+#         if starting_col not in search_from.columns:
+#             starting_col = c.replace("_ENDING", "_STARTING")
+#             if starting_col not in search_from.columns:
+#                 raise Exception("something went wrong")
+#
+#         starting_cols.append(starting_col)
+#
+#         # We want them to be different
+#         if c == "NUMBER_OPEN_FIREPLACES_ENDING":
+#             if (row[c] == row[starting_col]) | (row[starting_col] != "natural"):
+#                 same = False
+#                 break
+#             else:
+#                 continue
+#
+#         # We now check if the starting and ending values are the same
+#         if row[c] != row[starting_col]:
+#             same = False
+#             break
+#
+#     if same:
+#         raise Exception("We found one!")
+#
+#     fixed_cols = [c for c in search_from.columns if c not in starting_cols + ending_cols]
+#
+#     import pandas as pd
+#
+#     start = row[["SAP_STARTING"] + starting_cols]
+#     start.index = [c.replace("_STARTING", "") for c in start.index]
+#     end = row[["SAP_ENDING"] + ending_cols]
+#     end.index = [c.replace("_ENDING", "") for c in end.index]
+#     start["type"] = "starting"
+#     end["type"] = "ending"
+#
+#     compare = pd.concat([start, end], axis=1)
+#
+# ending_lmk = "bab3983fa167717b8bb4a36ef395046d53937f9b880a45bcc751270d72e5de45"
+# starting_lmk = "736b6f4803a11d9e45b49bf98f36eb8a7f357b0dd24f3e7cddef5295518e5bef"
+#
+# client = EpcClient(auth_token=EPC_AUTH_TOKEN)
+# result = client.domestic.search(params={"address": "9 Glebe Road, Asfordby Hill", "postcode": "LE14 3QT"})
+# starting_epc = [x for x in result["rows"] if x["lmk-key"] == starting_lmk][0]
+# ending_epc = [x for x in result["rows"] if x["lmk-key"] == ending_lmk][0]
 
 
 # with open(