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ha38 wip:

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Khalim Conn-Kowlessar 2024-03-03 16:47:10 +00:00
parent 87c77e53c0
commit f8948ff60f
1 changed files with 18 additions and 2 deletions
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20
etl/eligibility/ha_15_32/ha_analysis_batch_3.py
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@ -234,6 +234,13 @@ class DataLoader:
asset_list["POST CODE"].astype(str).str.lower().str.strip()
)
asset_list["matching_postcode"] = asset_list["POST CODE"].astype(str).str.lower().str.strip()
elif ha_name == "HA38":
asset_list["matching_address"] = asset_list["House_Number"].astype(str).str.lower().str.strip() + ", " + \
asset_list["Address_Line_1"].astype(str).str.lower().str.strip() + ", " + \
asset_list["Address_Line_2"].astype(str).str.lower().str.strip() + ", " + \
asset_list["Address_Line_3"].astype(str).str.lower().str.strip() + ", " + \
asset_list["Postcode"].astype(str).str.lower().str.strip()
asset_list["matching_postcode"] = asset_list["Postcode"].astype(str).str.lower().str.strip()
elif ha_name == "HA39":
# Create matching_address by concatenating add_1, add_2, add_3, add_4, add_5, post_code
asset_list["matching_address"] = asset_list["add_1"].astype(str).str.lower().str.strip() + ", " + \
@ -332,6 +339,8 @@ class DataLoader:
asset_list["HouseNo"] = asset_list["Dwelling num"].copy()
elif ha_name == "HA28":
asset_list["HouseNo"] = asset_list["House Number"].copy()
elif ha_name == "HA38":
asset_list["HouseNo"] = asset_list["House_Number"].copy()
else:
split_addresses = asset_list['matching_address'].str.split(',', expand=True)
house_numbers = split_addresses[0].str.split(' ', expand=True)
@ -912,6 +921,12 @@ class DataLoader:
return survey_list
@staticmethod
def correct_ha38_survey_list(survey_list):
# Rename the "No" column to "No." to align with the other survey sheets
survey_list = survey_list.rename(columns={"NO ": "NO."})
return survey_list
@staticmethod
def correct_ha32_survey_list(survey_list):
survey_list["Street / Block Name"] = np.where(
@ -3490,10 +3505,11 @@ def app():
december_figures_filepath = "local_data/ha_data/HA_December_figures.csv"
priority_has = [
"HA1", "HA6", "HA7", "HA14", "HA15", "HA16", "HA24", "HA25", "HA28", "HA32", "HA39", "HA107",
"HA1", "HA6", "HA7", "HA14", "HA15", "HA16", "HA24", "HA25", "HA28", "HA32", "HA38", "HA39", "HA107",
]
# Next HAs to do: 15[DONE], 32 [DONE], 33 [Input format is 4 parts and no eco4 jobs identified - come back on this],
# Then: 28, 41, 38, 10, 14, 20, 48
# Then: 28 [DONE],
# 38, 41, 10, 14, 20, 48
# Filter down the directories to only the priority HAs
directories = [d for d in directories if d.split("/")[2] in priority_has]