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Merge pull request #979 from Hestia-Homes/feature/fix_bom_issue

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Feature/fix bom issue
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Jun-te Kim 2026-04-13 16:21:38 +01:00 • committed by GitHub
commit 512fccbf13
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3 changed files with 13 additions and 13 deletions
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18
asset_list/app.py
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@ -74,23 +74,23 @@ def app():
"""
data_folder = "/workspaces/model/asset_list"
data_filename = "Calico ARA Upload Review.xlsx"
sheet_name = "Sheet1"
postcode_column = "Postcode"
address1_column = "Units"
data_filename = "Waverley UPRN Match.xlsx"
sheet_name = "in"
postcode_column = "postcode_clean"
address1_column = "domna_found_address"
address1_method = None
fulladdress_column = "Units"
address_cols_to_concat = ["Units"]
fulladdress_column = "domna_found_address"
address_cols_to_concat = []
missing_postcodes_method = None
landlord_year_built = None
landlord_os_uprn = None
landlord_property_type = None # Good to include if landlord gave
landlord_os_uprn = "domna_found_uprn"
landlord_property_type = "Property Type 1" # Good to include if landlord gave
landlord_built_form = None # Good to include if landlord gave
landlord_wall_construction = None
landlord_roof_construction = None
landlord_heating_system = None
landlord_existing_pv = None
landlord_property_id = "llid"
landlord_property_id = "WBC Ref"
landlord_sap = None
outcomes_filename = None
outcomes_sheetname = None

6
backend/address2UPRN/main.py
View file

@ -351,9 +351,9 @@ def handler(event, context, local=False):
{
"body": json.dumps(
{
"task_id": "e31f2f21-175b-4a91-a3ec-a6baa325e917",
"sub_task_id": "6a427b6e-1ece-4983-b1e5-9bffccc53d1d",
"s3_uri": "s3://retrofit-data-dev/ara_postcode_splitter_batches/e31f2f21-175b-4a91-a3ec-a6baa325e917/8673913b-1a88-42d7-8578-0449123d94b0/2026-02-18T11:47:00.822579_f95467f5.csv",
"sub_task_id": "d7363c83-2ef7-4474-b30f-980fd587350c",
"task_id": "a042af13-8b57-4709-ad22-ecac1ccca4bd",
"s3_uri": "s3://retrofit-data-dev/ara_raw_inputs/essex/Copy of EPC register Essex(August 2025)(in) (2).csv",
}
)
}

2
utils/s3.py
View file

@ -330,7 +330,7 @@ def read_csv_from_s3(bucket_name: str, filepath: str) -> list[dict[str, str]]:
body = s3_object["Body"].read()
# Use StringIO to create a file-like object from the string
csv_data = StringIO(body.decode("utf-8"))
csv_data = StringIO(body.decode("utf-8-sig"))
# Use csv library to read it into a list of dictionaries
reader = csv.DictReader(csv_data)