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setting up non-invasive recommendations

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Khalim Conn-Kowlessar 2024-04-16 11:32:15 +01:00
parent 0f7e815379
commit 0239966779
1 changed files with 28 additions and 1 deletions
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29
etl/customers/immo/pilot/asset_list.py
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@ -21,6 +21,7 @@ council_tax_bands = pd.DataFrame(council_tax_bands)
# This is information we need to override on the EPC itself, for instance if a new survey has been conducted and
# that has not reached the API
# For 53 Bromley, the non-invasives found the walls to be partially filled
patches = [
{
'address': '6 Beech Road', 'postcode': 'DY1 4BP',
@ -42,7 +43,11 @@ patches = [
'energy-consumption-current': '491',
'co2-emissions-current': '5.0',
'potential-energy-efficiency': '87'
}
},
{
'address': '53 Bromley', 'postcode': 'DY5 4PJ',
'walls-description': 'Cavity wall, partial insulation',
},
]
# This is information that is found as a result of the non-invasives, that mean that certain measures
@ -56,6 +61,19 @@ already_installed = [
}
]
non_invasive_recommendations = [
{'address': '8 Corporation Road', 'postcode': 'DY2 7PX', 'recommendations': []},
{'address': '21 Wells Road', 'postcode': 'DY5 3TB', 'recommendations': ['cavity_extract_and_refill']},
{'address': '27 Milton Road', 'postcode': 'WV14 8HZ', 'recommendations': ['cavity_extract_and_refill']},
{'address': '195 Ashenhurst Road', 'postcode': 'DY1 2JB', 'recommendations': ['cavity_extract_and_refill']},
{'address': '53 Bromley', 'postcode': 'DY5 4PJ', 'recommendations': ['cavity_surveyed_as_filled_is_partial']},
{'address': '91 Osprey Drive', 'postcode': 'DY1 2JS', 'recommendations': ['cavity_extract_and_refill']},
{'address': '47 Fairfield Road', 'postcode': 'DY8 5UJ', 'recommendations': ['cavity_extract_and_refill']},
{'address': '150 Huntingtree Road', 'postcode': 'B63 4HP', 'recommendations': ['cavity_extract_and_refill']},
{'address': '6 Beech Road', 'postcode': 'DY1 4BP', 'recommendations': []},
{'address': '5 Oaklands', 'postcode': 'B62 0JA', 'recommendations': ['cavity_extract_and_refill']},
]
def app():
raw_asset_list = read_excel_from_s3(
@ -102,6 +120,14 @@ def app():
file_name=patches_filename
)
# Store non-invasive recommendations in S3
non_invasive_recommendations_filename = f"{USER_ID}/{PORTFOLIO_ID}/non_invasive_recommendations.json"
save_csv_to_s3(
dataframe=pd.DataFrame(non_invasive_recommendations),
bucket_name="retrofit-plan-inputs-dev",
file_name=non_invasive_recommendations_filename
)
# EPC C portoflio
body = {
"portfolio_id": str(PORTFOLIO_ID),
@ -111,6 +137,7 @@ def app():
"trigger_file_path": filename,
"already_installed_file_path": already_installed_filename,
"patches_file_path": patches_filename,
"non_invasive_recommendations_file_path": non_invasive_recommendations_filename,
"budget": None,
}
print(body)