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[chore]: clean up

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Cullen Watson
2023-10-04 08:58:55 -05:00
parent f8c0dd766d
commit 51bde20c3c
8 changed files with 277 additions and 348 deletions
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26
homeharvest/utils.py
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@@ -39,7 +39,6 @@ def process_result(result: Property) -> pd.DataFrame:
prop_data["MLS"] = prop_data["mls"]
prop_data["MLS #"] = prop_data["mls_id"]
prop_data["Status"] = prop_data["status"]
prop_data["Style"] = prop_data["style"]
if "address" in prop_data:
address_data = prop_data["address"]
@@ -49,26 +48,27 @@ def process_result(result: Property) -> pd.DataFrame:
prop_data["State"] = address_data.state
prop_data["Zip"] = address_data.zip
prop_data["Community"] = prop_data["neighborhoods"]
prop_data["Beds"] = prop_data["beds"]
prop_data["FB"] = prop_data["baths_full"]
prop_data["NumHB"] = prop_data["baths_half"]
prop_data["EstSF"] = prop_data["est_sf"]
prop_data["ListPrice"] = prop_data["list_price"]
prop_data["Lst Date"] = prop_data["list_date"]
prop_data["Sold Price"] = prop_data["sold_price"]
prop_data["COEDate"] = prop_data["last_sold_date"]
prop_data["LotSFApx"] = prop_data["lot_sf"]
prop_data["PrcSqft"] = prop_data["prc_sqft"]
prop_data["HOAFee"] = prop_data["hoa_fee"]
if prop_data.get("prc_sqft") is not None:
prop_data["PrcSqft"] = round(prop_data["prc_sqft"], 2)
description = result.description
prop_data["Style"] = description.style
prop_data["Beds"] = description.beds
prop_data["FB"] = description.baths_full
prop_data["NumHB"] = description.baths_half
prop_data["EstSF"] = description.sqft
prop_data["LotSFApx"] = description.lot_sqft
prop_data["Sold Price"] = description.sold_price
prop_data["YrBlt"] = description.year_built
prop_data["PrkgGar"] = description.garage
prop_data["Stories"] = description.stories
prop_data["YrBlt"] = prop_data["yr_blt"]
prop_data["LATITUDE"] = prop_data["latitude"]
prop_data["LONGITUDE"] = prop_data["longitude"]
prop_data["Stories"] = prop_data["stories"]
prop_data["PrkgGar"] = prop_data["prkg_gar"]
prop_data["Community"] = prop_data["neighborhoods"]
properties_df = pd.DataFrame([prop_data])
properties_df = properties_df.reindex(columns=ordered_properties)